id	sid	tid	token	lemma	pos
ejpam-1597	1	1	11_bozdogan.dvi	11_bozdogan.dvi	NUM
ejpam-1597	1	2	european	european	PROPN
ejpam-1597	1	3	journal	journal	PROPN
ejpam-1597	1	4	of	of	ADP
ejpam-1597	1	5	pure	pure	ADJ
ejpam-1597	1	6	and	and	CCONJ
ejpam-1597	1	7	applied	apply	VERB
ejpam-1597	1	8	mathematics	mathematic	NOUN
ejpam-1597	1	9	vol	vol	NOUN
ejpam-1597	1	10	.	.	PROPN
ejpam-1597	1	11	5	5	NUM
ejpam-1597	1	12	,	,	PUNCT
ejpam-1597	1	13	no	no	INTJ
ejpam-1597	1	14	.	.	NOUN
ejpam-1597	1	15	2	2	NUM
ejpam-1597	1	16	,	,	PUNCT
ejpam-1597	1	17	2012	2012	NUM
ejpam-1597	1	18	,	,	PUNCT
ejpam-1597	1	19	211	211	NUM
ejpam-1597	1	20	-	-	SYM
ejpam-1597	1	21	249	249	NUM
ejpam-1597	1	22	issn	issn	PROPN
ejpam-1597	1	23	1307	1307	NUM
ejpam-1597	1	24	-	-	SYM
ejpam-1597	1	25	5543	5543	NUM
ejpam-1597	1	26	–	–	PUNCT
ejpam-1597	1	27	www.ejpam.com	www.ejpam.com	X
ejpam-1597	1	28	misspecified	misspecifie	VERB
ejpam-1597	1	29	multivariate	multivariate	NOUN
ejpam-1597	1	30	regression	regression	NOUN
ejpam-1597	1	31	models	model	NOUN
ejpam-1597	1	32	using	use	VERB
ejpam-1597	1	33	the	the	DET
ejpam-1597	1	34	genetic	genetic	ADJ
ejpam-1597	1	35	algorithm	algorithm	NOUN
ejpam-1597	1	36	and	and	CCONJ
ejpam-1597	1	37	information	information	NOUN
ejpam-1597	1	38	complexity	complexity	NOUN
ejpam-1597	1	39	as	as	ADP
ejpam-1597	1	40	the	the	DET
ejpam-1597	1	41	fitness	fitness	NOUN
ejpam-1597	1	42	function	function	NOUN
ejpam-1597	1	43	hamparsum	hamparsum	PROPN
ejpam-1597	1	44	bozdogan1,∗	bozdogan1,∗	NOUN
ejpam-1597	1	45	,	,	PUNCT
ejpam-1597	1	46	j.	j.	PROPN
ejpam-1597	1	47	andrew	andrew	PROPN
ejpam-1597	1	48	howe2	howe2	PROPN
ejpam-1597	2	1	1	1	NUM
ejpam-1597	2	2	department	department	NOUN
ejpam-1597	2	3	of	of	ADP
ejpam-1597	2	4	statistics	statistic	NOUN
ejpam-1597	2	5	,	,	PUNCT
ejpam-1597	2	6	operations	operation	NOUN
ejpam-1597	2	7	,	,	PUNCT
ejpam-1597	2	8	and	and	CCONJ
ejpam-1597	2	9	management	management	NOUN
ejpam-1597	2	10	science	science	NOUN
ejpam-1597	2	11	,	,	PUNCT
ejpam-1597	2	12	the	the	DET
ejpam-1597	2	13	university	university	PROPN
ejpam-1597	2	14	of	of	ADP
ejpam-1597	2	15	tennessee	tennessee	PROPN
ejpam-1597	2	16	,	,	PUNCT
ejpam-1597	2	17	knoxville	knoxville	PROPN
ejpam-1597	2	18	,	,	PUNCT
ejpam-1597	2	19	tn	tn	PROPN
ejpam-1597	2	20	,	,	PUNCT
ejpam-1597	2	21	37996	37996	NUM
ejpam-1597	2	22	,	,	PUNCT
ejpam-1597	2	23	usa	usa	PROPN
ejpam-1597	2	24	2	2	NUM
ejpam-1597	2	25	transatlantic	transatlantic	ADJ
ejpam-1597	2	26	petroleum	petroleum	NOUN
ejpam-1597	2	27	,	,	PUNCT
ejpam-1597	2	28	business	business	NOUN
ejpam-1597	2	29	analytics	analytic	NOUN
ejpam-1597	2	30	,	,	PUNCT
ejpam-1597	2	31	istanbul	istanbul	PROPN
ejpam-1597	2	32	turkey	turkey	PROPN
ejpam-1597	2	33	abstract	abstract	PROPN
ejpam-1597	2	34	.	.	PUNCT
ejpam-1597	3	1	model	model	NOUN
ejpam-1597	3	2	misspecification	misspecification	NOUN
ejpam-1597	3	3	is	be	AUX
ejpam-1597	3	4	a	a	DET
ejpam-1597	3	5	major	major	ADJ
ejpam-1597	3	6	challenge	challenge	NOUN
ejpam-1597	3	7	faced	face	VERB
ejpam-1597	3	8	by	by	ADP
ejpam-1597	3	9	all	all	DET
ejpam-1597	3	10	statistical	statistical	ADJ
ejpam-1597	3	11	modeling	modeling	NOUN
ejpam-1597	3	12	techniques	technique	NOUN
ejpam-1597	3	13	.	.	PUNCT
ejpam-1597	4	1	real	real	ADJ
ejpam-1597	4	2	world	world	NOUN
ejpam-1597	4	3	multivariate	multivariate	NOUN
ejpam-1597	4	4	data	datum	NOUN
ejpam-1597	4	5	in	in	ADP
ejpam-1597	4	6	high	high	ADJ
ejpam-1597	4	7	dimensions	dimension	NOUN
ejpam-1597	4	8	frequently	frequently	ADV
ejpam-1597	4	9	exhibit	exhibit	VERB
ejpam-1597	4	10	higher	high	ADJ
ejpam-1597	4	11	kurtosis	kurtosis	NOUN
ejpam-1597	4	12	and	and	CCONJ
ejpam-1597	4	13	heavier	heavy	ADJ
ejpam-1597	4	14	tails	tail	NOUN
ejpam-1597	4	15	,	,	PUNCT
ejpam-1597	4	16	asymmetry	asymmetry	NOUN
ejpam-1597	4	17	,	,	PUNCT
ejpam-1597	4	18	or	or	CCONJ
ejpam-1597	4	19	both	both	PRON
ejpam-1597	4	20	.	.	PUNCT
ejpam-1597	5	1	in	in	ADP
ejpam-1597	5	2	this	this	DET
ejpam-1597	5	3	paper	paper	NOUN
ejpam-1597	5	4	,	,	PUNCT
ejpam-1597	5	5	we	we	PRON
ejpam-1597	5	6	extend	extend	VERB
ejpam-1597	5	7	akaike	akaike	ADV
ejpam-1597	5	8	’s	’	VERB
ejpam-1597	5	9	aic	aic	PROPN
ejpam-1597	5	10	-	-	PUNCT
ejpam-1597	5	11	type	type	NOUN
ejpam-1597	5	12	model	model	NOUN
ejpam-1597	5	13	selection	selection	NOUN
ejpam-1597	5	14	criteria	criterion	NOUN
ejpam-1597	5	15	in	in	ADP
ejpam-1597	5	16	two	two	NUM
ejpam-1597	5	17	ways	way	NOUN
ejpam-1597	5	18	.	.	PUNCT
ejpam-1597	6	1	we	we	PRON
ejpam-1597	6	2	use	use	VERB
ejpam-1597	6	3	a	a	DET
ejpam-1597	6	4	more	more	ADV
ejpam-1597	6	5	encompassing	encompassing	ADJ
ejpam-1597	6	6	notion	notion	NOUN
ejpam-1597	6	7	of	of	ADP
ejpam-1597	6	8	information	information	NOUN
ejpam-1597	6	9	complexity	complexity	NOUN
ejpam-1597	6	10	(	(	PUNCT
ejpam-1597	6	11	icom	icom	PROPN
ejpam-1597	6	12	p	p	X
ejpam-1597	6	13	)	)	PUNCT
ejpam-1597	6	14	of	of	ADP
ejpam-1597	6	15	bozdogan	bozdogan	NOUN
ejpam-1597	6	16	for	for	ADP
ejpam-1597	6	17	multivariate	multivariate	NOUN
ejpam-1597	6	18	regression	regression	NOUN
ejpam-1597	6	19	to	to	PART
ejpam-1597	6	20	allow	allow	VERB
ejpam-1597	6	21	certain	certain	ADJ
ejpam-1597	6	22	types	type	NOUN
ejpam-1597	6	23	of	of	ADP
ejpam-1597	6	24	model	model	NOUN
ejpam-1597	6	25	misspecification	misspecification	NOUN
ejpam-1597	6	26	to	to	PART
ejpam-1597	6	27	be	be	AUX
ejpam-1597	6	28	detected	detect	VERB
ejpam-1597	6	29	using	use	VERB
ejpam-1597	6	30	the	the	DET
ejpam-1597	6	31	newly	newly	ADV
ejpam-1597	6	32	proposed	propose	VERB
ejpam-1597	6	33	criterion	criterion	NOUN
ejpam-1597	6	34	so	so	SCONJ
ejpam-1597	6	35	as	as	SCONJ
ejpam-1597	6	36	to	to	PART
ejpam-1597	6	37	protect	protect	VERB
ejpam-1597	6	38	the	the	DET
ejpam-1597	6	39	researchers	researcher	NOUN
ejpam-1597	6	40	against	against	ADP
ejpam-1597	6	41	model	model	NOUN
ejpam-1597	6	42	misspecification	misspecification	NOUN
ejpam-1597	6	43	.	.	PUNCT
ejpam-1597	7	1	we	we	PRON
ejpam-1597	7	2	do	do	VERB
ejpam-1597	7	3	this	this	PRON
ejpam-1597	7	4	by	by	ADP
ejpam-1597	7	5	employing	employ	VERB
ejpam-1597	7	6	the	the	DET
ejpam-1597	7	7	“	"	PUNCT
ejpam-1597	7	8	sandwich”or	sandwich”or	PROPN
ejpam-1597	7	9	“	"	PUNCT
ejpam-1597	7	10	robust”covariance	robust”covariance	NOUN
ejpam-1597	7	11	matrix	matrix	NOUN
ejpam-1597	7	12	f̂−1r̂f̂−1	f̂−1r̂f̂−1	NOUN
ejpam-1597	7	13	,	,	PUNCT
ejpam-1597	7	14	which	which	PRON
ejpam-1597	7	15	is	be	AUX
ejpam-1597	7	16	computed	compute	VERB
ejpam-1597	7	17	with	with	ADP
ejpam-1597	7	18	the	the	DET
ejpam-1597	7	19	sample	sample	NOUN
ejpam-1597	7	20	kurtosis	kurtosis	NOUN
ejpam-1597	7	21	and	and	CCONJ
ejpam-1597	7	22	skewness	skewness	NOUN
ejpam-1597	7	23	.	.	PUNCT
ejpam-1597	8	1	thus	thus	ADV
ejpam-1597	8	2	,	,	PUNCT
ejpam-1597	8	3	even	even	ADV
ejpam-1597	8	4	if	if	SCONJ
ejpam-1597	8	5	the	the	DET
ejpam-1597	8	6	data	datum	NOUN
ejpam-1597	8	7	modeled	model	VERB
ejpam-1597	8	8	do	do	AUX
ejpam-1597	8	9	not	not	PART
ejpam-1597	8	10	meet	meet	VERB
ejpam-1597	8	11	the	the	DET
ejpam-1597	8	12	standard	standard	ADJ
ejpam-1597	8	13	gaussian	gaussian	ADJ
ejpam-1597	8	14	assumptions	assumption	NOUN
ejpam-1597	8	15	,	,	PUNCT
ejpam-1597	8	16	an	an	DET
ejpam-1597	8	17	appropriate	appropriate	ADJ
ejpam-1597	8	18	model	model	NOUN
ejpam-1597	8	19	can	can	AUX
ejpam-1597	8	20	still	still	ADV
ejpam-1597	8	21	be	be	AUX
ejpam-1597	8	22	found	find	VERB
ejpam-1597	8	23	.	.	PUNCT
ejpam-1597	9	1	theoretical	theoretical	ADJ
ejpam-1597	9	2	results	result	NOUN
ejpam-1597	9	3	are	be	AUX
ejpam-1597	9	4	then	then	ADV
ejpam-1597	9	5	applied	apply	VERB
ejpam-1597	9	6	to	to	PART
ejpam-1597	9	7	multivariate	multivariate	VERB
ejpam-1597	9	8	regression	regression	NOUN
ejpam-1597	9	9	models	model	NOUN
ejpam-1597	9	10	in	in	ADP
ejpam-1597	9	11	subset	subset	ADJ
ejpam-1597	9	12	selection	selection	NOUN
ejpam-1597	9	13	of	of	ADP
ejpam-1597	9	14	the	the	DET
ejpam-1597	9	15	best	good	ADJ
ejpam-1597	9	16	predictors	predictor	NOUN
ejpam-1597	9	17	in	in	ADP
ejpam-1597	9	18	the	the	DET
ejpam-1597	9	19	presence	presence	NOUN
ejpam-1597	9	20	of	of	ADP
ejpam-1597	9	21	model	model	NOUN
ejpam-1597	9	22	misspecification	misspecification	NOUN
ejpam-1597	9	23	by	by	ADP
ejpam-1597	9	24	using	use	VERB
ejpam-1597	9	25	the	the	DET
ejpam-1597	9	26	novel	novel	ADJ
ejpam-1597	9	27	genetic	genetic	ADJ
ejpam-1597	9	28	algorithm	algorithm	NOUN
ejpam-1597	9	29	(	(	PUNCT
ejpam-1597	9	30	ga	ga	PROPN
ejpam-1597	9	31	)	)	PUNCT
ejpam-1597	9	32	,	,	PUNCT
ejpam-1597	9	33	with	with	ADP
ejpam-1597	9	34	our	our	PRON
ejpam-1597	9	35	extended	extended	ADJ
ejpam-1597	9	36	icom	icom	PROPN
ejpam-1597	9	37	p	p	PROPN
ejpam-1597	9	38	as	as	ADP
ejpam-1597	9	39	the	the	DET
ejpam-1597	9	40	fitness	fitness	NOUN
ejpam-1597	9	41	function	function	NOUN
ejpam-1597	9	42	.	.	PUNCT
ejpam-1597	10	1	we	we	PRON
ejpam-1597	10	2	demonstrate	demonstrate	VERB
ejpam-1597	10	3	the	the	DET
ejpam-1597	10	4	power	power	NOUN
ejpam-1597	10	5	of	of	ADP
ejpam-1597	10	6	the	the	DET
ejpam-1597	10	7	confluence	confluence	NOUN
ejpam-1597	10	8	of	of	ADP
ejpam-1597	10	9	these	these	DET
ejpam-1597	10	10	techniques	technique	NOUN
ejpam-1597	10	11	on	on	ADP
ejpam-1597	10	12	both	both	DET
ejpam-1597	10	13	simulated	simulated	ADJ
ejpam-1597	10	14	and	and	CCONJ
ejpam-1597	10	15	real	real	ADJ
ejpam-1597	10	16	-	-	PUNCT
ejpam-1597	10	17	world	world	NOUN
ejpam-1597	10	18	datasets	dataset	NOUN
ejpam-1597	10	19	.	.	PUNCT
ejpam-1597	11	1	our	our	PRON
ejpam-1597	11	2	simulations	simulation	NOUN
ejpam-1597	11	3	are	be	AUX
ejpam-1597	11	4	very	very	ADV
ejpam-1597	11	5	challenging	challenging	ADJ
ejpam-1597	11	6	,	,	PUNCT
ejpam-1597	11	7	combining	combine	VERB
ejpam-1597	11	8	multicolinearity	multicolinearity	NOUN
ejpam-1597	11	9	,	,	PUNCT
ejpam-1597	11	10	unnecessary	unnecessary	ADJ
ejpam-1597	11	11	variables	variable	NOUN
ejpam-1597	11	12	,	,	PUNCT
ejpam-1597	11	13	and	and	CCONJ
ejpam-1597	11	14	redundant	redundant	ADJ
ejpam-1597	11	15	variables	variable	NOUN
ejpam-1597	11	16	with	with	ADP
ejpam-1597	11	17	asymmetrical	asymmetrical	ADJ
ejpam-1597	11	18	or	or	CCONJ
ejpam-1597	11	19	leptokurtic	leptokurtic	ADJ
ejpam-1597	11	20	behavior	behavior	NOUN
ejpam-1597	11	21	.	.	PUNCT
ejpam-1597	12	1	we	we	PRON
ejpam-1597	12	2	also	also	ADV
ejpam-1597	12	3	demonstrate	demonstrate	VERB
ejpam-1597	12	4	our	our	PRON
ejpam-1597	12	5	model	model	NOUN
ejpam-1597	12	6	selection	selection	NOUN
ejpam-1597	12	7	prowess	prowess	NOUN
ejpam-1597	12	8	on	on	ADP
ejpam-1597	12	9	the	the	DET
ejpam-1597	12	10	well	well	ADV
ejpam-1597	12	11	-	-	PUNCT
ejpam-1597	12	12	known	know	VERB
ejpam-1597	12	13	body	body	NOUN
ejpam-1597	12	14	fat	fat	NOUN
ejpam-1597	12	15	data	datum	NOUN
ejpam-1597	12	16	.	.	PUNCT
ejpam-1597	13	1	our	our	PRON
ejpam-1597	13	2	findings	finding	NOUN
ejpam-1597	13	3	suggest	suggest	VERB
ejpam-1597	13	4	that	that	SCONJ
ejpam-1597	13	5	when	when	SCONJ
ejpam-1597	13	6	data	datum	NOUN
ejpam-1597	13	7	are	be	AUX
ejpam-1597	13	8	overly	overly	ADV
ejpam-1597	13	9	peaked	peaked	ADJ
ejpam-1597	13	10	or	or	CCONJ
ejpam-1597	13	11	skewed	skew	VERB
ejpam-1597	13	12	both	both	DET
ejpam-1597	13	13	characteristics	characteristic	NOUN
ejpam-1597	13	14	often	often	ADV
ejpam-1597	13	15	seen	see	VERB
ejpam-1597	13	16	in	in	ADP
ejpam-1597	13	17	real	real	ADJ
ejpam-1597	13	18	data	datum	NOUN
ejpam-1597	13	19	,	,	PUNCT
ejpam-1597	13	20	icom	icom	PROPN
ejpam-1597	13	21	p	p	PROPN
ejpam-1597	13	22	based	base	VERB
ejpam-1597	13	23	on	on	ADP
ejpam-1597	13	24	the	the	DET
ejpam-1597	13	25	sandwich	sandwich	NOUN
ejpam-1597	13	26	covariance	covariance	NOUN
ejpam-1597	13	27	matrix	matrix	NOUN
ejpam-1597	13	28	should	should	AUX
ejpam-1597	13	29	be	be	AUX
ejpam-1597	13	30	used	use	VERB
ejpam-1597	13	31	to	to	PART
ejpam-1597	13	32	drive	drive	VERB
ejpam-1597	13	33	model	model	NOUN
ejpam-1597	13	34	selection	selection	NOUN
ejpam-1597	13	35	.	.	PUNCT
ejpam-1597	14	1	2010	2010	NUM
ejpam-1597	14	2	mathematics	mathematic	NOUN
ejpam-1597	14	3	subject	subject	NOUN
ejpam-1597	14	4	classifications	classification	NOUN
ejpam-1597	14	5	:	:	PUNCT
ejpam-1597	14	6	62h86	62h86	NOUN
ejpam-1597	14	7	,	,	PUNCT
ejpam-1597	14	8	62j05	62j05	NUM
ejpam-1597	14	9	,	,	PUNCT
ejpam-1597	14	10	62n02	62n02	NOUN
ejpam-1597	14	11	,	,	PUNCT
ejpam-1597	14	12	65g20	65g20	NUM
ejpam-1597	14	13	,	,	PUNCT
ejpam-1597	14	14	62	62	NUM
ejpam-1597	14	15	-	-	SYM
ejpam-1597	14	16	07	07	NUM
ejpam-1597	14	17	,	,	PUNCT
ejpam-1597	14	18	62f12	62f12	NUM
ejpam-1597	14	19	,	,	PUNCT
ejpam-1597	14	20	62e20	62e20	NUM
ejpam-1597	14	21	,	,	PUNCT
ejpam-1597	14	22	81t80	81t80	NUM
ejpam-1597	14	23	,	,	PUNCT
ejpam-1597	14	24	78m34	78m34	NUM
ejpam-1597	14	25	,	,	PUNCT
ejpam-1597	14	26	62b10	62b10	NUM
ejpam-1597	14	27	key	key	ADJ
ejpam-1597	14	28	words	word	NOUN
ejpam-1597	14	29	and	and	CCONJ
ejpam-1597	14	30	phrases	phrase	NOUN
ejpam-1597	14	31	:	:	PUNCT
ejpam-1597	14	32	misspecified	misspecifie	VERB
ejpam-1597	14	33	multivariate	multivariate	NOUN
ejpam-1597	14	34	regression	regression	NOUN
ejpam-1597	14	35	models	model	NOUN
ejpam-1597	14	36	,	,	PUNCT
ejpam-1597	14	37	information	information	NOUN
ejpam-1597	14	38	complexity	complexity	NOUN
ejpam-1597	14	39	,	,	PUNCT
ejpam-1597	14	40	robust	robust	ADJ
ejpam-1597	14	41	estimation	estimation	NOUN
ejpam-1597	14	42	,	,	PUNCT
ejpam-1597	14	43	genetic	genetic	ADJ
ejpam-1597	14	44	algorithm	algorithm	NOUN
ejpam-1597	14	45	,	,	PUNCT
ejpam-1597	14	46	subset	subset	NOUN
ejpam-1597	14	47	selection	selection	NOUN
ejpam-1597	14	48	,	,	PUNCT
ejpam-1597	14	49	dimension	dimension	NOUN
ejpam-1597	14	50	reduction	reduction	NOUN
ejpam-1597	14	51	1	1	NUM
ejpam-1597	14	52	.	.	PUNCT
ejpam-1597	15	1	introduction	introduction	NOUN
ejpam-1597	15	2	model	model	NOUN
ejpam-1597	15	3	misspecification	misspecification	NOUN
ejpam-1597	15	4	is	be	AUX
ejpam-1597	15	5	a	a	DET
ejpam-1597	15	6	major	major	ADJ
ejpam-1597	15	7	,	,	PUNCT
ejpam-1597	15	8	if	if	SCONJ
ejpam-1597	15	9	it	it	PRON
ejpam-1597	15	10	is	be	AUX
ejpam-1597	15	11	not	not	PART
ejpam-1597	15	12	the	the	DET
ejpam-1597	15	13	dominant	dominant	ADJ
ejpam-1597	15	14	,	,	PUNCT
ejpam-1597	15	15	source	source	NOUN
ejpam-1597	15	16	of	of	ADP
ejpam-1597	15	17	error	error	NOUN
ejpam-1597	15	18	in	in	ADP
ejpam-1597	15	19	the	the	DET
ejpam-1597	15	20	quantification	quantification	NOUN
ejpam-1597	15	21	of	of	ADP
ejpam-1597	15	22	most	most	ADJ
ejpam-1597	15	23	scientific	scientific	ADJ
ejpam-1597	15	24	analysis	analysis	NOUN
ejpam-1597	15	25	chatfield	chatfield	PROPN
ejpam-1597	15	26	,	,	PUNCT
ejpam-1597	15	27	1995	1995	NUM
ejpam-1597	15	28	.	.	PUNCT
ejpam-1597	16	1	∗corresponding	∗corresponde	VERB
ejpam-1597	16	2	author	author	NOUN
ejpam-1597	16	3	.	.	PUNCT
ejpam-1597	17	1	email	email	NOUN
ejpam-1597	17	2	addresses	address	NOUN
ejpam-1597	17	3	:	:	PUNCT
ejpam-1597	17	4	bozdogan�utk.edu	bozdogan�utk.edu	PROPN
ejpam-1597	17	5	(	(	PUNCT
ejpam-1597	17	6	h.	h.	PROPN
ejpam-1597	17	7	bozdogan	bozdogan	PROPN
ejpam-1597	17	8	)	)	PUNCT
ejpam-1597	17	9	,	,	PUNCT
ejpam-1597	17	10	ahowe42	ahowe42	NOUN
ejpam-1597	17	11	�	�	NOUN
ejpam-1597	17	12	gmail	gmail	NOUN
ejpam-1597	17	13	.	.	PUNCT
ejpam-1597	18	1	om	om	PROPN
ejpam-1597	18	2	(	(	PUNCT
ejpam-1597	18	3	j.	j.	PROPN
ejpam-1597	18	4	howe	howe	PROPN
ejpam-1597	18	5	)	)	PUNCT
ejpam-1597	18	6	http://www.ejpam.com	http://www.ejpam.com	X
ejpam-1597	19	1	211	211	NUM
ejpam-1597	19	2	c	c	X
ejpam-1597	19	3	©	©	PROPN
ejpam-1597	19	4	2012	2012	NUM
ejpam-1597	19	5	ejpam	ejpam	VERB
ejpam-1597	19	6	all	all	DET
ejpam-1597	19	7	rights	right	NOUN
ejpam-1597	19	8	reserved	reserve	VERB
ejpam-1597	19	9	.	.	PUNCT
ejpam-1597	20	1	h.	h.	PROPN
ejpam-1597	20	2	bozdogan	bozdogan	PROPN
ejpam-1597	20	3	,	,	PUNCT
ejpam-1597	20	4	j.	j.	PROPN
ejpam-1597	20	5	howe	howe	PROPN
ejpam-1597	20	6	/	/	SYM
ejpam-1597	20	7	eur	eur	PROPN
ejpam-1597	20	8	.	.	PUNCT
ejpam-1597	21	1	j.	j.	PROPN
ejpam-1597	21	2	pure	pure	PROPN
ejpam-1597	21	3	appl	appl	PROPN
ejpam-1597	21	4	.	.	PROPN
ejpam-1597	21	5	math	math	PROPN
ejpam-1597	21	6	,	,	PUNCT
ejpam-1597	21	7	5	5	NUM
ejpam-1597	21	8	(	(	PUNCT
ejpam-1597	21	9	2012	2012	NUM
ejpam-1597	21	10	)	)	PUNCT
ejpam-1597	21	11	,	,	PUNCT
ejpam-1597	21	12	211	211	NUM
ejpam-1597	21	13	-	-	SYM
ejpam-1597	21	14	249	249	NUM
ejpam-1597	21	15	212	212	NUM
ejpam-1597	21	16	in	in	ADP
ejpam-1597	21	17	this	this	DET
ejpam-1597	21	18	research	research	NOUN
ejpam-1597	21	19	article	article	NOUN
ejpam-1597	21	20	,	,	PUNCT
ejpam-1597	21	21	we	we	PRON
ejpam-1597	21	22	simultaneously	simultaneously	ADV
ejpam-1597	21	23	address	address	VERB
ejpam-1597	21	24	several	several	ADJ
ejpam-1597	21	25	issues	issue	NOUN
ejpam-1597	21	26	that	that	PRON
ejpam-1597	21	27	affect	affect	VERB
ejpam-1597	21	28	many	many	ADJ
ejpam-1597	21	29	statistical	statistical	ADJ
ejpam-1597	21	30	modeling	modeling	NOUN
ejpam-1597	21	31	procedures	procedure	NOUN
ejpam-1597	21	32	.	.	PUNCT
ejpam-1597	22	1	specifically	specifically	ADV
ejpam-1597	22	2	,	,	PUNCT
ejpam-1597	22	3	this	this	DET
ejpam-1597	22	4	paper	paper	NOUN
ejpam-1597	22	5	deals	deal	VERB
ejpam-1597	22	6	with	with	ADP
ejpam-1597	22	7	the	the	DET
ejpam-1597	22	8	context	context	NOUN
ejpam-1597	22	9	of	of	ADP
ejpam-1597	22	10	multivariate	multivariate	NOUN
ejpam-1597	22	11	regression	regression	NOUN
ejpam-1597	22	12	(	(	PUNCT
ejpam-1597	22	13	mvr	mvr	PROPN
ejpam-1597	22	14	)	)	PUNCT
ejpam-1597	22	15	.	.	PUNCT
ejpam-1597	23	1	statistical	statistical	ADJ
ejpam-1597	23	2	models	model	NOUN
ejpam-1597	23	3	are	be	AUX
ejpam-1597	23	4	typically	typically	ADV
ejpam-1597	23	5	merely	merely	ADV
ejpam-1597	23	6	approximations	approximation	NOUN
ejpam-1597	23	7	to	to	ADP
ejpam-1597	23	8	reality	reality	NOUN
ejpam-1597	23	9	;	;	PUNCT
ejpam-1597	23	10	additionally	additionally	ADV
ejpam-1597	23	11	,	,	PUNCT
ejpam-1597	23	12	for	for	ADP
ejpam-1597	23	13	a	a	DET
ejpam-1597	23	14	set	set	NOUN
ejpam-1597	23	15	of	of	ADP
ejpam-1597	23	16	observations	observation	NOUN
ejpam-1597	23	17	,	,	PUNCT
ejpam-1597	23	18	we	we	PRON
ejpam-1597	23	19	typically	typically	ADV
ejpam-1597	23	20	do	do	AUX
ejpam-1597	23	21	n’t	not	PART
ejpam-1597	23	22	know	know	VERB
ejpam-1597	23	23	the	the	DET
ejpam-1597	23	24	true	true	ADJ
ejpam-1597	23	25	data	data	NOUN
ejpam-1597	23	26	generating	generating	NOUN
ejpam-1597	23	27	process	process	NOUN
ejpam-1597	23	28	.	.	PUNCT
ejpam-1597	24	1	therefore	therefore	ADV
ejpam-1597	24	2	,	,	PUNCT
ejpam-1597	24	3	a	a	DET
ejpam-1597	24	4	wrong	wrong	ADJ
ejpam-1597	24	5	or	or	CCONJ
ejpam-1597	24	6	misspecified	misspecifie	VERB
ejpam-1597	24	7	model	model	NOUN
ejpam-1597	24	8	has	have	VERB
ejpam-1597	24	9	a	a	DET
ejpam-1597	24	10	high	high	ADJ
ejpam-1597	24	11	probability	probability	NOUN
ejpam-1597	24	12	of	of	ADP
ejpam-1597	24	13	being	be	AUX
ejpam-1597	24	14	fit	fit	ADJ
ejpam-1597	24	15	to	to	ADP
ejpam-1597	24	16	observed	observe	VERB
ejpam-1597	24	17	data	datum	NOUN
ejpam-1597	24	18	.	.	PUNCT
ejpam-1597	25	1	in	in	ADP
ejpam-1597	25	2	many	many	ADJ
ejpam-1597	25	3	real	real	ADJ
ejpam-1597	25	4	-	-	PUNCT
ejpam-1597	25	5	life	life	NOUN
ejpam-1597	25	6	applications	application	NOUN
ejpam-1597	25	7	of	of	ADP
ejpam-1597	25	8	strategic	strategic	ADJ
ejpam-1597	25	9	decision	decision	NOUN
ejpam-1597	25	10	making	making	NOUN
ejpam-1597	25	11	,	,	PUNCT
ejpam-1597	25	12	large	large	ADJ
ejpam-1597	25	13	numbers	number	NOUN
ejpam-1597	25	14	of	of	ADP
ejpam-1597	25	15	variables	variable	NOUN
ejpam-1597	25	16	need	need	VERB
ejpam-1597	25	17	to	to	PART
ejpam-1597	25	18	be	be	AUX
ejpam-1597	25	19	simultaneously	simultaneously	ADV
ejpam-1597	25	20	considered	consider	VERB
ejpam-1597	25	21	to	to	PART
ejpam-1597	25	22	build	build	VERB
ejpam-1597	25	23	an	an	DET
ejpam-1597	25	24	operating	operating	NOUN
ejpam-1597	25	25	model	model	NOUN
ejpam-1597	25	26	and	and	CCONJ
ejpam-1597	25	27	for	for	ADP
ejpam-1597	25	28	real	real	ADJ
ejpam-1597	25	29	-	-	PUNCT
ejpam-1597	25	30	time	time	NOUN
ejpam-1597	25	31	data	data	NOUN
ejpam-1597	25	32	-	-	PUNCT
ejpam-1597	25	33	mining	mining	NOUN
ejpam-1597	25	34	.	.	PUNCT
ejpam-1597	26	1	application	application	NOUN
ejpam-1597	26	2	examples	example	NOUN
ejpam-1597	26	3	would	would	AUX
ejpam-1597	26	4	include	include	VERB
ejpam-1597	26	5	•	•	NOUN
ejpam-1597	26	6	behavioral	behavioral	ADJ
ejpam-1597	26	7	and	and	CCONJ
ejpam-1597	26	8	social	social	ADJ
ejpam-1597	26	9	sciences	science	NOUN
ejpam-1597	26	10	,	,	PUNCT
ejpam-1597	26	11	•	•	NUM
ejpam-1597	26	12	biometrics	biometric	NOUN
ejpam-1597	26	13	,	,	PUNCT
ejpam-1597	26	14	•	•	NUM
ejpam-1597	26	15	econometrics	econometric	NOUN
ejpam-1597	26	16	,	,	PUNCT
ejpam-1597	26	17	•	•	NUM
ejpam-1597	26	18	environmental	environmental	ADJ
ejpam-1597	26	19	sciences	science	NOUN
ejpam-1597	26	20	,	,	PUNCT
ejpam-1597	26	21	and	and	CCONJ
ejpam-1597	26	22	•	•	NUM
ejpam-1597	26	23	financial	financial	ADJ
ejpam-1597	26	24	modeling	modeling	NOUN
ejpam-1597	26	25	.	.	PUNCT
ejpam-1597	27	1	further	far	ADV
ejpam-1597	27	2	,	,	PUNCT
ejpam-1597	27	3	it	it	PRON
ejpam-1597	27	4	is	be	AUX
ejpam-1597	27	5	often	often	ADV
ejpam-1597	27	6	the	the	DET
ejpam-1597	27	7	case	case	NOUN
ejpam-1597	27	8	that	that	SCONJ
ejpam-1597	27	9	several	several	ADJ
ejpam-1597	27	10	response	response	NOUN
ejpam-1597	27	11	variables	variable	NOUN
ejpam-1597	27	12	are	be	AUX
ejpam-1597	27	13	studied	study	VERB
ejpam-1597	27	14	simultaneously	simultaneously	ADV
ejpam-1597	27	15	given	give	VERB
ejpam-1597	27	16	a	a	DET
ejpam-1597	27	17	set	set	NOUN
ejpam-1597	27	18	of	of	ADP
ejpam-1597	27	19	predictor	predictor	NOUN
ejpam-1597	27	20	variables	variable	NOUN
ejpam-1597	27	21	.	.	PUNCT
ejpam-1597	28	1	in	in	ADP
ejpam-1597	28	2	such	such	ADJ
ejpam-1597	28	3	cases	case	NOUN
ejpam-1597	28	4	it	it	PRON
ejpam-1597	28	5	is	be	AUX
ejpam-1597	28	6	often	often	ADV
ejpam-1597	28	7	desirable	desirable	ADJ
ejpam-1597	28	8	to	to	PART
ejpam-1597	28	9	:	:	PUNCT
ejpam-1597	28	10	•	•	X
ejpam-1597	28	11	determine	determine	VERB
ejpam-1597	28	12	which	which	DET
ejpam-1597	28	13	subsets	subset	NOUN
ejpam-1597	28	14	of	of	ADP
ejpam-1597	28	15	the	the	DET
ejpam-1597	28	16	predictors	predictor	NOUN
ejpam-1597	28	17	are	be	AUX
ejpam-1597	28	18	most	most	ADV
ejpam-1597	28	19	useful	useful	ADJ
ejpam-1597	28	20	for	for	ADP
ejpam-1597	28	21	forecasting	forecast	VERB
ejpam-1597	28	22	each	each	DET
ejpam-1597	28	23	response	response	NOUN
ejpam-1597	28	24	variable	variable	NOUN
ejpam-1597	28	25	in	in	ADP
ejpam-1597	28	26	the	the	DET
ejpam-1597	28	27	system	system	NOUN
ejpam-1597	28	28	,	,	PUNCT
ejpam-1597	28	29	•	•	NOUN
ejpam-1597	28	30	interpret	interpret	VERB
ejpam-1597	28	31	simultaneously	simultaneously	ADV
ejpam-1597	28	32	a	a	DET
ejpam-1597	28	33	large	large	ADJ
ejpam-1597	28	34	number	number	NOUN
ejpam-1597	28	35	of	of	ADP
ejpam-1597	28	36	regression	regression	NOUN
ejpam-1597	28	37	coefficients	coefficient	NOUN
ejpam-1597	28	38	,	,	PUNCT
ejpam-1597	28	39	since	since	SCONJ
ejpam-1597	28	40	this	this	PRON
ejpam-1597	28	41	can	can	AUX
ejpam-1597	28	42	become	become	VERB
ejpam-1597	28	43	unwieldy	unwieldy	ADJ
ejpam-1597	28	44	even	even	ADV
ejpam-1597	28	45	for	for	ADP
ejpam-1597	28	46	a	a	DET
ejpam-1597	28	47	moderately	moderately	ADV
ejpam-1597	28	48	-	-	PUNCT
ejpam-1597	28	49	sized	sized	ADJ
ejpam-1597	28	50	data	datum	NOUN
ejpam-1597	28	51	,	,	PUNCT
ejpam-1597	28	52	and	and	CCONJ
ejpam-1597	28	53	•	•	SCONJ
ejpam-1597	28	54	achieve	achieve	VERB
ejpam-1597	28	55	parsimony	parsimony	NOUN
ejpam-1597	28	56	of	of	ADP
ejpam-1597	28	57	unknown	unknown	ADJ
ejpam-1597	28	58	parameters	parameter	NOUN
ejpam-1597	28	59	,	,	PUNCT
ejpam-1597	28	60	allowing	allow	VERB
ejpam-1597	28	61	both	both	CCONJ
ejpam-1597	28	62	better	well	ADJ
ejpam-1597	28	63	estimation	estimation	NOUN
ejpam-1597	28	64	and	and	CCONJ
ejpam-1597	28	65	clearer	clear	ADJ
ejpam-1597	28	66	interpretation	interpretation	NOUN
ejpam-1597	28	67	of	of	ADP
ejpam-1597	28	68	the	the	DET
ejpam-1597	28	69	parameters	parameter	NOUN
ejpam-1597	28	70	.	.	PUNCT
ejpam-1597	29	1	our	our	PRON
ejpam-1597	29	2	objectives	objective	NOUN
ejpam-1597	29	3	are	be	AUX
ejpam-1597	29	4	twofold	twofold	ADJ
ejpam-1597	29	5	.	.	PUNCT
ejpam-1597	30	1	the	the	DET
ejpam-1597	30	2	first	first	ADJ
ejpam-1597	30	3	is	be	AUX
ejpam-1597	30	4	to	to	PART
ejpam-1597	30	5	develop	develop	VERB
ejpam-1597	30	6	a	a	DET
ejpam-1597	30	7	computationally	computationally	ADV
ejpam-1597	30	8	feasible	feasible	ADJ
ejpam-1597	30	9	intelligent	intelligent	ADJ
ejpam-1597	30	10	data	datum	NOUN
ejpam-1597	30	11	mining	mining	NOUN
ejpam-1597	30	12	and	and	CCONJ
ejpam-1597	30	13	knowledge	knowledge	NOUN
ejpam-1597	30	14	discovery	discovery	NOUN
ejpam-1597	30	15	technique	technique	NOUN
ejpam-1597	30	16	that	that	PRON
ejpam-1597	30	17	addresses	address	VERB
ejpam-1597	30	18	the	the	DET
ejpam-1597	30	19	potentially	potentially	ADV
ejpam-1597	30	20	daunting	daunting	ADJ
ejpam-1597	30	21	statistical	statistical	ADJ
ejpam-1597	30	22	and	and	CCONJ
ejpam-1597	30	23	combinatorial	combinatorial	ADJ
ejpam-1597	30	24	problems	problem	NOUN
ejpam-1597	30	25	of	of	ADP
ejpam-1597	30	26	mvr	mvr	PROPN
ejpam-1597	30	27	modeling	modeling	NOUN
ejpam-1597	30	28	under	under	ADP
ejpam-1597	30	29	model	model	NOUN
ejpam-1597	30	30	misspecification	misspecification	NOUN
ejpam-1597	30	31	.	.	PUNCT
ejpam-1597	31	1	secondly	secondly	ADV
ejpam-1597	31	2	,	,	PUNCT
ejpam-1597	31	3	we	we	PRON
ejpam-1597	31	4	provide	provide	VERB
ejpam-1597	31	5	new	new	ADJ
ejpam-1597	31	6	research	research	NOUN
ejpam-1597	31	7	tools	tool	NOUN
ejpam-1597	31	8	that	that	PRON
ejpam-1597	31	9	guide	guide	VERB
ejpam-1597	31	10	model	model	NOUN
ejpam-1597	31	11	fit	fit	NOUN
ejpam-1597	31	12	and	and	CCONJ
ejpam-1597	31	13	evaluation	evaluation	NOUN
ejpam-1597	31	14	for	for	ADP
ejpam-1597	31	15	high	high	ADJ
ejpam-1597	31	16	dimensional	dimensional	ADJ
ejpam-1597	31	17	data	datum	NOUN
ejpam-1597	31	18	,	,	PUNCT
ejpam-1597	31	19	regardless	regardless	ADV
ejpam-1597	31	20	of	of	ADP
ejpam-1597	31	21	whether	whether	SCONJ
ejpam-1597	31	22	or	or	CCONJ
ejpam-1597	31	23	not	not	PART
ejpam-1597	31	24	the	the	DET
ejpam-1597	31	25	probability	probability	NOUN
ejpam-1597	31	26	model	model	NOUN
ejpam-1597	31	27	is	be	AUX
ejpam-1597	31	28	misspecified	misspecifie	VERB
ejpam-1597	31	29	.	.	PUNCT
ejpam-1597	32	1	we	we	PRON
ejpam-1597	32	2	employ	employ	VERB
ejpam-1597	32	3	a	a	DET
ejpam-1597	32	4	three	three	NUM
ejpam-1597	32	5	-	-	PUNCT
ejpam-1597	32	6	way	way	NOUN
ejpam-1597	32	7	hybrid	hybrid	NOUN
ejpam-1597	32	8	:	:	PUNCT
ejpam-1597	32	9	•	•	SCONJ
ejpam-1597	32	10	our	our	PRON
ejpam-1597	32	11	approach	approach	NOUN
ejpam-1597	32	12	integrates	integrate	VERB
ejpam-1597	32	13	novel	novel	ADJ
ejpam-1597	32	14	statistical	statistical	ADJ
ejpam-1597	32	15	modeling	modeling	NOUN
ejpam-1597	32	16	procedures	procedure	NOUN
ejpam-1597	32	17	based	base	VERB
ejpam-1597	32	18	on	on	ADP
ejpam-1597	32	19	a	a	DET
ejpam-1597	32	20	misspecificationrobust	misspecificationrobust	ADJ
ejpam-1597	32	21	form	form	NOUN
ejpam-1597	32	22	of	of	ADP
ejpam-1597	32	23	the	the	DET
ejpam-1597	32	24	information	information	NOUN
ejpam-1597	32	25	complexity	complexity	NOUN
ejpam-1597	32	26	(	(	PUNCT
ejpam-1597	32	27	icom	icom	PROPN
ejpam-1597	32	28	p	p	NOUN
ejpam-1597	32	29	)	)	PUNCT
ejpam-1597	32	30	criterion	criterion	NOUN
ejpam-1597	32	31	[	[	X
ejpam-1597	32	32	5	5	NUM
ejpam-1597	32	33	,	,	PUNCT
ejpam-1597	32	34	4	4	NUM
ejpam-1597	32	35	,	,	PUNCT
ejpam-1597	32	36	6	6	NUM
ejpam-1597	32	37	,	,	PUNCT
ejpam-1597	32	38	7	7	NUM
ejpam-1597	32	39	]	]	PUNCT
ejpam-1597	32	40	as	as	ADP
ejpam-1597	32	41	the	the	DET
ejpam-1597	32	42	fitness	fitness	NOUN
ejpam-1597	32	43	function	function	NOUN
ejpam-1597	32	44	;	;	PUNCT
ejpam-1597	32	45	•	•	NUM
ejpam-1597	32	46	multivariate	multivariate	NOUN
ejpam-1597	32	47	regression	regression	NOUN
ejpam-1597	32	48	models	model	NOUN
ejpam-1597	32	49	that	that	PRON
ejpam-1597	32	50	allow	allow	VERB
ejpam-1597	32	51	for	for	ADP
ejpam-1597	32	52	non	non	ADJ
ejpam-1597	32	53	-	-	ADJ
ejpam-1597	32	54	gaussian	gaussian	ADJ
ejpam-1597	32	55	random	random	ADJ
ejpam-1597	32	56	errors	error	NOUN
ejpam-1597	32	57	,	,	PUNCT
ejpam-1597	32	58	and	and	CCONJ
ejpam-1597	32	59	•	•	NUM
ejpam-1597	32	60	the	the	DET
ejpam-1597	32	61	genetic	genetic	ADJ
ejpam-1597	32	62	algorithm	algorithm	NOUN
ejpam-1597	32	63	(	(	PUNCT
ejpam-1597	32	64	ga	ga	NOUN
ejpam-1597	32	65	)	)	PUNCT
ejpam-1597	32	66	as	as	ADP
ejpam-1597	32	67	our	our	PRON
ejpam-1597	32	68	optimizer	optimizer	NOUN
ejpam-1597	32	69	to	to	PART
ejpam-1597	32	70	select	select	VERB
ejpam-1597	32	71	the	the	DET
ejpam-1597	32	72	best	good	ADJ
ejpam-1597	32	73	subset	subset	NOUN
ejpam-1597	32	74	of	of	ADP
ejpam-1597	32	75	predictors	predictor	NOUN
ejpam-1597	32	76	or	or	CCONJ
ejpam-1597	32	77	variables	variable	NOUN
ejpam-1597	32	78	.	.	PUNCT
ejpam-1597	33	1	to	to	ADP
ejpam-1597	33	2	this	this	DET
ejpam-1597	33	3	end	end	NOUN
ejpam-1597	33	4	,	,	PUNCT
ejpam-1597	33	5	we	we	PRON
ejpam-1597	33	6	developed	develop	VERB
ejpam-1597	33	7	an	an	DET
ejpam-1597	33	8	easy	easy	ADJ
ejpam-1597	33	9	-	-	PUNCT
ejpam-1597	33	10	to	to	PART
ejpam-1597	33	11	-	-	PUNCT
ejpam-1597	33	12	use	use	VERB
ejpam-1597	33	13	commandand	commandand	NOUN
ejpam-1597	33	14	guidriven	guidriven	VERB
ejpam-1597	33	15	interactive	interactive	ADJ
ejpam-1597	33	16	computational	computational	ADJ
ejpam-1597	33	17	toolbox	toolbox	NOUN
ejpam-1597	33	18	.	.	PUNCT
ejpam-1597	34	1	with	with	ADP
ejpam-1597	34	2	this	this	DET
ejpam-1597	34	3	matlab	matlab	PROPN
ejpam-1597	34	4	®	®	NOUN
ejpam-1597	34	5	toolbox	toolbox	NOUN
ejpam-1597	34	6	,	,	PUNCT
ejpam-1597	34	7	we	we	PRON
ejpam-1597	34	8	illustrate	illustrate	VERB
ejpam-1597	34	9	our	our	PRON
ejpam-1597	34	10	new	new	ADJ
ejpam-1597	34	11	approach	approach	NOUN
ejpam-1597	34	12	on	on	ADP
ejpam-1597	34	13	both	both	CCONJ
ejpam-1597	34	14	real	real	ADJ
ejpam-1597	34	15	and	and	CCONJ
ejpam-1597	34	16	simulated	simulated	ADJ
ejpam-1597	34	17	data	data	NOUN
ejpam-1597	34	18	sets	set	NOUN
ejpam-1597	34	19	,	,	PUNCT
ejpam-1597	34	20	showing	show	VERB
ejpam-1597	34	21	the	the	DET
ejpam-1597	34	22	versatility	versatility	NOUN
ejpam-1597	34	23	of	of	ADP
ejpam-1597	34	24	these	these	DET
ejpam-1597	34	25	techniques	technique	NOUN
ejpam-1597	34	26	.	.	PUNCT
ejpam-1597	35	1	the	the	DET
ejpam-1597	35	2	rest	rest	NOUN
ejpam-1597	35	3	of	of	ADP
ejpam-1597	35	4	the	the	DET
ejpam-1597	35	5	paper	paper	NOUN
ejpam-1597	35	6	is	be	AUX
ejpam-1597	35	7	organized	organize	VERB
ejpam-1597	35	8	as	as	SCONJ
ejpam-1597	35	9	follows	follow	VERB
ejpam-1597	35	10	.	.	PUNCT
ejpam-1597	36	1	section	section	NOUN
ejpam-1597	36	2	2	2	NUM
ejpam-1597	36	3	provides	provide	VERB
ejpam-1597	36	4	the	the	DET
ejpam-1597	36	5	requisite	requisite	ADJ
ejpam-1597	36	6	background	background	NOUN
ejpam-1597	36	7	on	on	ADP
ejpam-1597	36	8	multivariate	multivariate	NOUN
ejpam-1597	36	9	regression	regression	NOUN
ejpam-1597	36	10	(	(	PUNCT
ejpam-1597	36	11	mvr	mvr	NOUN
ejpam-1597	36	12	)	)	PUNCT
ejpam-1597	36	13	modeling	modeling	NOUN
ejpam-1597	36	14	,	,	PUNCT
ejpam-1597	36	15	which	which	PRON
ejpam-1597	36	16	is	be	AUX
ejpam-1597	36	17	then	then	ADV
ejpam-1597	36	18	followed	follow	VERB
ejpam-1597	36	19	by	by	ADP
ejpam-1597	36	20	section	section	NOUN
ejpam-1597	36	21	3	3	NUM
ejpam-1597	36	22	regarding	regard	VERB
ejpam-1597	36	23	information	information	NOUN
ejpam-1597	36	24	complexity	complexity	NOUN
ejpam-1597	36	25	and	and	CCONJ
ejpam-1597	36	26	aic	aic	PROPN
ejpam-1597	36	27	-	-	PUNCT
ejpam-1597	36	28	type	type	NOUN
ejpam-1597	36	29	criteria	criterion	NOUN
ejpam-1597	36	30	for	for	ADP
ejpam-1597	36	31	model	model	NOUN
ejpam-1597	36	32	selection	selection	NOUN
ejpam-1597	36	33	.	.	PUNCT
ejpam-1597	37	1	here	here	ADV
ejpam-1597	37	2	,	,	PUNCT
ejpam-1597	37	3	we	we	PRON
ejpam-1597	37	4	define	define	VERB
ejpam-1597	37	5	icom	icom	PROPN
ejpam-1597	37	6	p	p	PROPN
ejpam-1597	37	7	under	under	ADP
ejpam-1597	37	8	the	the	DET
ejpam-1597	37	9	correct	correct	ADJ
ejpam-1597	37	10	and	and	CCONJ
ejpam-1597	37	11	misspecified	misspecifie	VERB
ejpam-1597	37	12	models	model	NOUN
ejpam-1597	37	13	and	and	CCONJ
ejpam-1597	37	14	extend	extend	VERB
ejpam-1597	37	15	it	it	PRON
ejpam-1597	37	16	to	to	ADP
ejpam-1597	37	17	structural	structural	ADJ
ejpam-1597	37	18	complexity	complexity	NOUN
ejpam-1597	37	19	using	use	VERB
ejpam-1597	37	20	the	the	DET
ejpam-1597	37	21	results	result	NOUN
ejpam-1597	37	22	of	of	ADP
ejpam-1597	37	23	[	[	X
ejpam-1597	37	24	44	44	NUM
ejpam-1597	37	25	]	]	PUNCT
ejpam-1597	37	26	,	,	PUNCT
ejpam-1597	37	27	based	base	VERB
ejpam-1597	37	28	on	on	ADP
ejpam-1597	37	29	the	the	DET
ejpam-1597	37	30	hessian	hessian	ADJ
ejpam-1597	37	31	and	and	CCONJ
ejpam-1597	37	32	outer	outer	ADJ
ejpam-1597	37	33	-	-	PUNCT
ejpam-1597	37	34	product	product	NOUN
ejpam-1597	37	35	forms	form	NOUN
ejpam-1597	37	36	of	of	ADP
ejpam-1597	37	37	the	the	DET
ejpam-1597	37	38	fisher	fisher	PROPN
ejpam-1597	37	39	information	information	NOUN
ejpam-1597	37	40	matrix	matrix	NOUN
ejpam-1597	37	41	,	,	PUNCT
ejpam-1597	37	42	h.	h.	PROPN
ejpam-1597	37	43	bozdogan	bozdogan	PROPN
ejpam-1597	37	44	,	,	PUNCT
ejpam-1597	37	45	j.	j.	PROPN
ejpam-1597	37	46	howe	howe	PROPN
ejpam-1597	37	47	/	/	SYM
ejpam-1597	37	48	eur	eur	PROPN
ejpam-1597	37	49	.	.	PUNCT
ejpam-1597	38	1	j.	j.	PROPN
ejpam-1597	38	2	pure	pure	PROPN
ejpam-1597	38	3	appl	appl	PROPN
ejpam-1597	38	4	.	.	PROPN
ejpam-1597	38	5	math	math	PROPN
ejpam-1597	38	6	,	,	PUNCT
ejpam-1597	38	7	5	5	NUM
ejpam-1597	38	8	(	(	PUNCT
ejpam-1597	38	9	2012	2012	NUM
ejpam-1597	38	10	)	)	PUNCT
ejpam-1597	38	11	,	,	PUNCT
ejpam-1597	38	12	211	211	NUM
ejpam-1597	38	13	-	-	SYM
ejpam-1597	38	14	249	249	NUM
ejpam-1597	38	15	213	213	NUM
ejpam-1597	38	16	respectively	respectively	ADV
ejpam-1597	38	17	.	.	PUNCT
ejpam-1597	39	1	the	the	DET
ejpam-1597	39	2	basic	basic	ADJ
ejpam-1597	39	3	idea	idea	NOUN
ejpam-1597	39	4	is	be	AUX
ejpam-1597	39	5	that	that	SCONJ
ejpam-1597	39	6	one	one	PRON
ejpam-1597	39	7	can	can	AUX
ejpam-1597	39	8	use	use	VERB
ejpam-1597	39	9	the	the	DET
ejpam-1597	39	10	difference	difference	NOUN
ejpam-1597	39	11	between	between	ADP
ejpam-1597	39	12	icom	icom	PROPN
ejpam-1597	39	13	p(misspecified	p(misspecifie	VERB
ejpam-1597	39	14	model	model	NOUN
ejpam-1597	39	15	)	)	PUNCT
ejpam-1597	39	16	and	and	CCONJ
ejpam-1597	39	17	icom	icom	PROPN
ejpam-1597	39	18	p(correctly	p(correctly	ADV
ejpam-1597	39	19	specified	specify	VERB
ejpam-1597	39	20	model	model	NOUN
ejpam-1597	39	21	)	)	PUNCT
ejpam-1597	39	22	as	as	ADP
ejpam-1597	39	23	an	an	DET
ejpam-1597	39	24	indication	indication	NOUN
ejpam-1597	39	25	of	of	ADP
ejpam-1597	39	26	possible	possible	ADJ
ejpam-1597	39	27	departures	departure	NOUN
ejpam-1597	39	28	from	from	ADP
ejpam-1597	39	29	the	the	DET
ejpam-1597	39	30	distributional	distributional	ADJ
ejpam-1597	39	31	form	form	NOUN
ejpam-1597	39	32	of	of	ADP
ejpam-1597	39	33	the	the	DET
ejpam-1597	39	34	model	model	NOUN
ejpam-1597	39	35	.	.	PUNCT
ejpam-1597	40	1	this	this	PRON
ejpam-1597	40	2	brings	bring	VERB
ejpam-1597	40	3	out	out	ADP
ejpam-1597	40	4	the	the	DET
ejpam-1597	40	5	most	most	ADV
ejpam-1597	40	6	important	important	ADJ
ejpam-1597	40	7	weakness	weakness	NOUN
ejpam-1597	40	8	of	of	ADP
ejpam-1597	40	9	akaiketype	akaiketype	ADJ
ejpam-1597	40	10	criteria	criterion	NOUN
ejpam-1597	40	11	for	for	ADP
ejpam-1597	40	12	model	model	NOUN
ejpam-1597	40	13	selection	selection	NOUN
ejpam-1597	40	14	:	:	PUNCT
ejpam-1597	40	15	these	these	DET
ejpam-1597	40	16	procedures	procedure	NOUN
ejpam-1597	40	17	depend	depend	VERB
ejpam-1597	40	18	crucially	crucially	ADV
ejpam-1597	40	19	on	on	ADP
ejpam-1597	40	20	the	the	DET
ejpam-1597	40	21	assumption	assumption	NOUN
ejpam-1597	40	22	that	that	SCONJ
ejpam-1597	40	23	the	the	DET
ejpam-1597	40	24	specified	specified	ADJ
ejpam-1597	40	25	family	family	NOUN
ejpam-1597	40	26	of	of	ADP
ejpam-1597	40	27	models	model	NOUN
ejpam-1597	40	28	includes	include	VERB
ejpam-1597	40	29	the	the	DET
ejpam-1597	40	30	true	true	ADJ
ejpam-1597	40	31	model	model	NOUN
ejpam-1597	40	32	.	.	PUNCT
ejpam-1597	41	1	we	we	PRON
ejpam-1597	41	2	also	also	ADV
ejpam-1597	41	3	propose	propose	VERB
ejpam-1597	41	4	a	a	DET
ejpam-1597	41	5	penalty	penalty	NOUN
ejpam-1597	41	6	-	-	PUNCT
ejpam-1597	41	7	bias	bias	NOUN
ejpam-1597	41	8	function	function	NOUN
ejpam-1597	41	9	under	under	ADP
ejpam-1597	41	10	the	the	DET
ejpam-1597	41	11	distributional	distributional	ADJ
ejpam-1597	41	12	misspecification	misspecification	NOUN
ejpam-1597	41	13	.	.	PUNCT
ejpam-1597	42	1	in	in	ADP
ejpam-1597	42	2	section	section	NOUN
ejpam-1597	42	3	4	4	NUM
ejpam-1597	42	4	,	,	PUNCT
ejpam-1597	42	5	we	we	PRON
ejpam-1597	42	6	provide	provide	VERB
ejpam-1597	42	7	the	the	DET
ejpam-1597	42	8	explicit	explicit	ADJ
ejpam-1597	42	9	expression	expression	NOUN
ejpam-1597	42	10	of	of	ADP
ejpam-1597	42	11	icom	icom	PROPN
ejpam-1597	42	12	p	p	PROPN
ejpam-1597	42	13	for	for	ADP
ejpam-1597	42	14	the	the	DET
ejpam-1597	42	15	correctly	correctly	ADV
ejpam-1597	42	16	specified	specify	VERB
ejpam-1597	42	17	as	as	ADV
ejpam-1597	42	18	well	well	ADV
ejpam-1597	42	19	as	as	ADP
ejpam-1597	42	20	for	for	ADP
ejpam-1597	42	21	misspecified	misspecifie	VERB
ejpam-1597	42	22	multivariate	multivariate	NOUN
ejpam-1597	42	23	regression	regression	NOUN
ejpam-1597	42	24	model	model	NOUN
ejpam-1597	42	25	and	and	CCONJ
ejpam-1597	42	26	we	we	PRON
ejpam-1597	42	27	derive	derive	VERB
ejpam-1597	42	28	the	the	DET
ejpam-1597	42	29	bias	bias	NOUN
ejpam-1597	42	30	of	of	ADP
ejpam-1597	42	31	the	the	DET
ejpam-1597	42	32	penalty	penalty	NOUN
ejpam-1597	42	33	for	for	ADP
ejpam-1597	42	34	the	the	DET
ejpam-1597	42	35	misspecified	misspecifie	VERB
ejpam-1597	42	36	multivariate	multivariate	NOUN
ejpam-1597	42	37	regression	regression	NOUN
ejpam-1597	42	38	model	model	NOUN
ejpam-1597	42	39	under	under	ADP
ejpam-1597	42	40	normality	normality	NOUN
ejpam-1597	42	41	.	.	PUNCT
ejpam-1597	43	1	this	this	DET
ejpam-1597	43	2	form	form	NOUN
ejpam-1597	43	3	is	be	AUX
ejpam-1597	43	4	useful	useful	ADJ
ejpam-1597	43	5	in	in	ADP
ejpam-1597	43	6	obtaining	obtain	VERB
ejpam-1597	43	7	the	the	DET
ejpam-1597	43	8	amount	amount	NOUN
ejpam-1597	43	9	of	of	ADP
ejpam-1597	43	10	bias	bias	NOUN
ejpam-1597	43	11	,	,	PUNCT
ejpam-1597	43	12	based	base	VERB
ejpam-1597	43	13	on	on	ADP
ejpam-1597	43	14	maximum	maximum	ADJ
ejpam-1597	43	15	-	-	PUNCT
ejpam-1597	43	16	likelihood	likelihood	NOUN
ejpam-1597	43	17	estimation	estimation	NOUN
ejpam-1597	43	18	when	when	SCONJ
ejpam-1597	43	19	distributional	distributional	ADJ
ejpam-1597	43	20	(	(	PUNCT
ejpam-1597	43	21	or	or	CCONJ
ejpam-1597	43	22	other	other	ADJ
ejpam-1597	43	23	)	)	PUNCT
ejpam-1597	43	24	assumptions	assumption	NOUN
ejpam-1597	43	25	are	be	AUX
ejpam-1597	43	26	not	not	PART
ejpam-1597	43	27	satisfied	satisfied	ADJ
ejpam-1597	43	28	.	.	PUNCT
ejpam-1597	44	1	the	the	DET
ejpam-1597	44	2	resulting	result	VERB
ejpam-1597	44	3	penaltybias	penaltybia	NOUN
ejpam-1597	44	4	function	function	NOUN
ejpam-1597	44	5	turns	turn	VERB
ejpam-1597	44	6	out	out	ADP
ejpam-1597	44	7	to	to	PART
ejpam-1597	44	8	be	be	AUX
ejpam-1597	44	9	a	a	DET
ejpam-1597	44	10	function	function	NOUN
ejpam-1597	44	11	of	of	ADP
ejpam-1597	44	12	skewness	skewness	NOUN
ejpam-1597	44	13	and	and	CCONJ
ejpam-1597	44	14	kurtosis	kurtosis	VERB
ejpam-1597	44	15	coefficients	coefficient	NOUN
ejpam-1597	44	16	.	.	PUNCT
ejpam-1597	45	1	next	next	ADV
ejpam-1597	45	2	,	,	PUNCT
ejpam-1597	45	3	in	in	ADP
ejpam-1597	45	4	section	section	NOUN
ejpam-1597	45	5	5	5	NUM
ejpam-1597	45	6	we	we	PRON
ejpam-1597	45	7	provide	provide	VERB
ejpam-1597	45	8	details	detail	NOUN
ejpam-1597	45	9	of	of	ADP
ejpam-1597	45	10	the	the	DET
ejpam-1597	45	11	genetic	genetic	ADJ
ejpam-1597	45	12	algorithm	algorithm	NOUN
ejpam-1597	45	13	(	(	PUNCT
ejpam-1597	45	14	ga	ga	NOUN
ejpam-1597	45	15	)	)	PUNCT
ejpam-1597	45	16	and	and	CCONJ
ejpam-1597	45	17	robust	robust	ADJ
ejpam-1597	45	18	covariance	covariance	NOUN
ejpam-1597	45	19	estimators	estimator	NOUN
ejpam-1597	45	20	(	(	PUNCT
ejpam-1597	45	21	section	section	NOUN
ejpam-1597	45	22	6	6	NUM
ejpam-1597	45	23	)	)	PUNCT
ejpam-1597	45	24	.	.	PUNCT
ejpam-1597	46	1	finally	finally	ADV
ejpam-1597	46	2	,	,	PUNCT
ejpam-1597	46	3	results	result	VERB
ejpam-1597	46	4	with	with	ADP
ejpam-1597	46	5	both	both	CCONJ
ejpam-1597	46	6	simulated	simulated	ADJ
ejpam-1597	46	7	and	and	CCONJ
ejpam-1597	46	8	real	real	ADJ
ejpam-1597	46	9	datasets	dataset	NOUN
ejpam-1597	46	10	are	be	AUX
ejpam-1597	46	11	shown	show	VERB
ejpam-1597	46	12	in	in	ADP
ejpam-1597	46	13	section	section	NOUN
ejpam-1597	46	14	7	7	NUM
ejpam-1597	46	15	,	,	PUNCT
ejpam-1597	46	16	followed	follow	VERB
ejpam-1597	46	17	by	by	ADP
ejpam-1597	46	18	concluding	conclude	VERB
ejpam-1597	46	19	remarks	remark	NOUN
ejpam-1597	46	20	.	.	PUNCT
ejpam-1597	47	1	in	in	ADP
ejpam-1597	47	2	appendices	appendix	NOUN
ejpam-1597	47	3	1	1	NUM
ejpam-1597	47	4	through	through	ADP
ejpam-1597	47	5	3	3	NUM
ejpam-1597	47	6	,	,	PUNCT
ejpam-1597	47	7	we	we	PRON
ejpam-1597	47	8	repeat	repeat	VERB
ejpam-1597	47	9	the	the	DET
ejpam-1597	47	10	analytical	analytical	ADJ
ejpam-1597	47	11	matrix	matrix	NOUN
ejpam-1597	47	12	calculus	calculus	NOUN
ejpam-1597	47	13	derivations	derivation	NOUN
ejpam-1597	47	14	of	of	ADP
ejpam-1597	47	15	the	the	DET
ejpam-1597	47	16	model	model	NOUN
ejpam-1597	47	17	covariance	covariance	NOUN
ejpam-1597	47	18	matrix	matrix	NOUN
ejpam-1597	47	19	for	for	ADP
ejpam-1597	47	20	multivariate	multivariate	NOUN
ejpam-1597	47	21	regression	regression	NOUN
ejpam-1597	47	22	under	under	ADP
ejpam-1597	47	23	misspecification	misspecification	NOUN
ejpam-1597	47	24	,	,	PUNCT
ejpam-1597	47	25	based	base	VERB
ejpam-1597	47	26	on	on	ADP
ejpam-1597	47	27	the	the	DET
ejpam-1597	47	28	work	work	NOUN
ejpam-1597	47	29	of	of	ADP
ejpam-1597	47	30	[	[	X
ejpam-1597	47	31	27	27	NUM
ejpam-1597	47	32	]	]	PUNCT
ejpam-1597	47	33	,	,	PUNCT
ejpam-1597	47	34	for	for	ADP
ejpam-1597	47	35	the	the	DET
ejpam-1597	47	36	benefit	benefit	NOUN
ejpam-1597	47	37	of	of	ADP
ejpam-1597	47	38	the	the	DET
ejpam-1597	47	39	readers	reader	NOUN
ejpam-1597	47	40	.	.	PUNCT
ejpam-1597	48	1	much	much	ADJ
ejpam-1597	48	2	of	of	ADP
ejpam-1597	48	3	this	this	DET
ejpam-1597	48	4	work	work	NOUN
ejpam-1597	48	5	was	be	AUX
ejpam-1597	48	6	done	do	VERB
ejpam-1597	48	7	in	in	ADP
ejpam-1597	48	8	collaboration	collaboration	NOUN
ejpam-1597	48	9	with	with	ADP
ejpam-1597	48	10	the	the	DET
ejpam-1597	48	11	first	first	ADJ
ejpam-1597	48	12	author	author	NOUN
ejpam-1597	48	13	while	while	SCONJ
ejpam-1597	48	14	he	he	PRON
ejpam-1597	48	15	was	be	AUX
ejpam-1597	48	16	a	a	DET
ejpam-1597	48	17	senior	senior	ADJ
ejpam-1597	48	18	scientist	scientist	NOUN
ejpam-1597	48	19	at	at	ADP
ejpam-1597	48	20	tilburg	tilburg	PROPN
ejpam-1597	48	21	university	university	PROPN
ejpam-1597	48	22	,	,	PUNCT
ejpam-1597	48	23	in	in	ADP
ejpam-1597	48	24	tilburg	tilburg	NOUN
ejpam-1597	48	25	,	,	PUNCT
ejpam-1597	48	26	the	the	DET
ejpam-1597	48	27	netherlands	netherlands	PROPN
ejpam-1597	48	28	during	during	ADP
ejpam-1597	48	29	may	may	PROPN
ejpam-1597	48	30	of	of	ADP
ejpam-1597	48	31	1999	1999	NUM
ejpam-1597	48	32	.	.	PUNCT
ejpam-1597	49	1	in	in	ADP
ejpam-1597	49	2	appendix	appendix	NOUN
ejpam-1597	49	3	1	1	NUM
ejpam-1597	49	4	,	,	PUNCT
ejpam-1597	49	5	we	we	PRON
ejpam-1597	49	6	show	show	VERB
ejpam-1597	49	7	the	the	DET
ejpam-1597	49	8	derivation	derivation	NOUN
ejpam-1597	49	9	of	of	ADP
ejpam-1597	49	10	the	the	DET
ejpam-1597	49	11	outer	outer	ADJ
ejpam-1597	49	12	-	-	PUNCT
ejpam-1597	49	13	product	product	NOUN
ejpam-1597	49	14	form	form	NOUN
ejpam-1597	49	15	of	of	ADP
ejpam-1597	49	16	the	the	DET
ejpam-1597	49	17	fisher	fisher	PROPN
ejpam-1597	49	18	information	information	NOUN
ejpam-1597	49	19	matrix	matrix	NOUN
ejpam-1597	49	20	.	.	PUNCT
ejpam-1597	50	1	in	in	ADP
ejpam-1597	50	2	appendix	appendix	NOUN
ejpam-1597	50	3	2	2	NUM
ejpam-1597	50	4	,	,	PUNCT
ejpam-1597	50	5	we	we	PRON
ejpam-1597	50	6	show	show	VERB
ejpam-1597	50	7	the	the	DET
ejpam-1597	50	8	derivation	derivation	NOUN
ejpam-1597	50	9	of	of	ADP
ejpam-1597	50	10	the	the	DET
ejpam-1597	50	11	sandwich	sandwich	NOUN
ejpam-1597	50	12	model	model	NOUN
ejpam-1597	50	13	covariance	covariance	NOUN
ejpam-1597	50	14	matrix	matrix	NOUN
ejpam-1597	50	15	which	which	PRON
ejpam-1597	50	16	is	be	AUX
ejpam-1597	50	17	a	a	DET
ejpam-1597	50	18	new	new	ADJ
ejpam-1597	50	19	result	result	NOUN
ejpam-1597	50	20	in	in	ADP
ejpam-1597	50	21	closed	closed	ADJ
ejpam-1597	50	22	-	-	PUNCT
ejpam-1597	50	23	form	form	NOUN
ejpam-1597	50	24	which	which	PRON
ejpam-1597	50	25	does	do	AUX
ejpam-1597	50	26	not	not	PART
ejpam-1597	50	27	exist	exist	VERB
ejpam-1597	50	28	in	in	ADP
ejpam-1597	50	29	the	the	DET
ejpam-1597	50	30	literature	literature	NOUN
ejpam-1597	50	31	within	within	ADP
ejpam-1597	50	32	the	the	DET
ejpam-1597	50	33	context	context	NOUN
ejpam-1597	50	34	of	of	ADP
ejpam-1597	50	35	a	a	DET
ejpam-1597	50	36	misspecified	misspecifie	VERB
ejpam-1597	50	37	mvr	mvr	PROPN
ejpam-1597	50	38	model	model	NOUN
ejpam-1597	50	39	.	.	PUNCT
ejpam-1597	51	1	the	the	DET
ejpam-1597	51	2	opened	open	VERB
ejpam-1597	51	3	up	up	ADP
ejpam-1597	51	4	form	form	NOUN
ejpam-1597	51	5	of	of	ADP
ejpam-1597	51	6	the	the	DET
ejpam-1597	51	7	misspecification	misspecification	NOUN
ejpam-1597	51	8	resistant	resistant	ADJ
ejpam-1597	51	9	icom	icom	PROPN
ejpam-1597	51	10	p	p	PROPN
ejpam-1597	51	11	is	be	AUX
ejpam-1597	51	12	obtained	obtain	VERB
ejpam-1597	51	13	and	and	CCONJ
ejpam-1597	51	14	shown	show	VERB
ejpam-1597	51	15	,	,	PUNCT
ejpam-1597	51	16	and	and	CCONJ
ejpam-1597	51	17	appendix	appendix	VERB
ejpam-1597	51	18	3	3	NUM
ejpam-1597	51	19	derives	derive	VERB
ejpam-1597	51	20	the	the	DET
ejpam-1597	51	21	penalty	penalty	NOUN
ejpam-1597	51	22	bias	bias	NOUN
ejpam-1597	51	23	for	for	ADP
ejpam-1597	51	24	multivariate	multivariate	NOUN
ejpam-1597	51	25	regression	regression	NOUN
ejpam-1597	51	26	.	.	PUNCT
ejpam-1597	52	1	2	2	X
ejpam-1597	52	2	.	.	X
ejpam-1597	52	3	multivariate	multivariate	NOUN
ejpam-1597	52	4	gaussian	gaussian	ADJ
ejpam-1597	52	5	regression	regression	NOUN
ejpam-1597	52	6	(	(	PUNCT
ejpam-1597	52	7	mvr	mvr	NOUN
ejpam-1597	52	8	)	)	PUNCT
ejpam-1597	52	9	model	model	NOUN
ejpam-1597	52	10	in	in	ADP
ejpam-1597	52	11	the	the	DET
ejpam-1597	52	12	usual	usual	ADJ
ejpam-1597	52	13	well	well	ADV
ejpam-1597	52	14	known	know	VERB
ejpam-1597	52	15	multivariate	multivariate	NOUN
ejpam-1597	52	16	regression	regression	NOUN
ejpam-1597	52	17	problem	problem	NOUN
ejpam-1597	52	18	,	,	PUNCT
ejpam-1597	52	19	we	we	PRON
ejpam-1597	52	20	have	have	VERB
ejpam-1597	52	21	a	a	DET
ejpam-1597	52	22	matrix	matrix	NOUN
ejpam-1597	52	23	of	of	ADP
ejpam-1597	52	24	responses	response	NOUN
ejpam-1597	52	25	y	y	PROPN
ejpam-1597	52	26	∈	∈	PROPN
ejpam-1597	52	27	rn×p	rn×p	PROPN
ejpam-1597	52	28	;	;	PUNCT
ejpam-1597	52	29	n	n	NUM
ejpam-1597	52	30	observations	observation	NOUN
ejpam-1597	52	31	of	of	ADP
ejpam-1597	52	32	p	p	NOUN
ejpam-1597	52	33	measurements	measurement	NOUN
ejpam-1597	52	34	on	on	ADP
ejpam-1597	52	35	some	some	DET
ejpam-1597	52	36	physical	physical	ADJ
ejpam-1597	52	37	process	process	NOUN
ejpam-1597	52	38	.	.	PUNCT
ejpam-1597	53	1	the	the	DET
ejpam-1597	53	2	researcher	researcher	NOUN
ejpam-1597	53	3	also	also	ADV
ejpam-1597	53	4	has	have	VERB
ejpam-1597	53	5	k	k	PROPN
ejpam-1597	53	6	variables	variable	NOUN
ejpam-1597	53	7	that	that	PRON
ejpam-1597	53	8	have	have	VERB
ejpam-1597	53	9	some	some	DET
ejpam-1597	53	10	theoretical	theoretical	ADJ
ejpam-1597	53	11	relationship	relationship	NOUN
ejpam-1597	53	12	to	to	ADP
ejpam-1597	53	13	y	y	PROPN
ejpam-1597	53	14	:	:	PUNCT
ejpam-1597	53	15	x	x	SYM
ejpam-1597	53	16	∈	∈	NOUN
ejpam-1597	53	17	rn×q	rn×q	NOUN
ejpam-1597	53	18	,	,	PUNCT
ejpam-1597	53	19	of	of	ADP
ejpam-1597	53	20	course	course	NOUN
ejpam-1597	53	21	,	,	PUNCT
ejpam-1597	53	22	we	we	PRON
ejpam-1597	53	23	usually	usually	ADV
ejpam-1597	53	24	include	include	VERB
ejpam-1597	53	25	a	a	DET
ejpam-1597	53	26	constant	constant	ADJ
ejpam-1597	53	27	term	term	NOUN
ejpam-1597	53	28	as	as	ADP
ejpam-1597	53	29	an	an	DET
ejpam-1597	53	30	intercept	intercept	NOUN
ejpam-1597	53	31	for	for	ADP
ejpam-1597	53	32	the	the	DET
ejpam-1597	53	33	hyperplane	hyperplane	NOUN
ejpam-1597	53	34	generated	generate	VERB
ejpam-1597	53	35	by	by	ADP
ejpam-1597	53	36	the	the	DET
ejpam-1597	53	37	relationship	relationship	NOUN
ejpam-1597	53	38	,	,	PUNCT
ejpam-1597	53	39	so	so	ADV
ejpam-1597	53	40	q	q	NOUN
ejpam-1597	53	41	=	=	PUNCT
ejpam-1597	53	42	k	k	PROPN
ejpam-1597	54	1	+	+	NOUN
ejpam-1597	54	2	1	1	X
ejpam-1597	54	3	.	.	PUNCT
ejpam-1597	55	1	the	the	DET
ejpam-1597	55	2	predictive	predictive	ADJ
ejpam-1597	55	3	relationship	relationship	NOUN
ejpam-1597	55	4	between	between	ADP
ejpam-1597	55	5	x	x	PUNCT
ejpam-1597	55	6	and	and	CCONJ
ejpam-1597	55	7	y	y	PROPN
ejpam-1597	55	8	has	have	VERB
ejpam-1597	55	9	both	both	CCONJ
ejpam-1597	55	10	a	a	DET
ejpam-1597	55	11	deterministic	deterministic	NOUN
ejpam-1597	55	12	and	and	CCONJ
ejpam-1597	55	13	a	a	DET
ejpam-1597	55	14	stochastic	stochastic	ADJ
ejpam-1597	55	15	component	component	NOUN
ejpam-1597	55	16	,	,	PUNCT
ejpam-1597	55	17	such	such	ADJ
ejpam-1597	55	18	that	that	SCONJ
ejpam-1597	55	19	the	the	DET
ejpam-1597	55	20	model	model	NOUN
ejpam-1597	55	21	is	be	AUX
ejpam-1597	55	22	y	y	PROPN
ejpam-1597	55	23	=	=	PUNCT
ejpam-1597	55	24	x	x	X
ejpam-1597	55	25	b+	b+	X
ejpam-1597	55	26	e	e	NOUN
ejpam-1597	55	27	,	,	PUNCT
ejpam-1597	55	28	(	(	PUNCT
ejpam-1597	55	29	1	1	X
ejpam-1597	55	30	)	)	PUNCT
ejpam-1597	55	31	in	in	ADP
ejpam-1597	55	32	which	which	PRON
ejpam-1597	55	33	b	b	NOUN
ejpam-1597	55	34	∈	∈	NOUN
ejpam-1597	55	35	rq×p	rq×p	NOUN
ejpam-1597	55	36	is	be	AUX
ejpam-1597	55	37	a	a	DET
ejpam-1597	55	38	matrix	matrix	NOUN
ejpam-1597	55	39	of	of	ADP
ejpam-1597	55	40	coefficients	coefficient	NOUN
ejpam-1597	55	41	relating	relate	VERB
ejpam-1597	55	42	each	each	DET
ejpam-1597	55	43	column	column	NOUN
ejpam-1597	55	44	of	of	ADP
ejpam-1597	55	45	x	x	PRON
ejpam-1597	55	46	to	to	ADP
ejpam-1597	55	47	each	each	DET
ejpam-1597	55	48	column	column	NOUN
ejpam-1597	55	49	of	of	ADP
ejpam-1597	55	50	y	y	PROPN
ejpam-1597	55	51	,	,	PUNCT
ejpam-1597	55	52	and	and	CCONJ
ejpam-1597	55	53	e	e	X
ejpam-1597	55	54	∈	∈	PROPN
ejpam-1597	55	55	rn×p	rn×p	PROPN
ejpam-1597	55	56	is	be	AUX
ejpam-1597	55	57	a	a	DET
ejpam-1597	55	58	matrix	matrix	NOUN
ejpam-1597	55	59	of	of	ADP
ejpam-1597	55	60	error	error	NOUN
ejpam-1597	55	61	terms	term	NOUN
ejpam-1597	55	62	.	.	PUNCT
ejpam-1597	56	1	the	the	DET
ejpam-1597	56	2	usual	usual	ADJ
ejpam-1597	56	3	assumption	assumption	NOUN
ejpam-1597	56	4	in	in	ADP
ejpam-1597	56	5	multivariate	multivariate	NOUN
ejpam-1597	56	6	regression	regression	NOUN
ejpam-1597	56	7	is	be	AUX
ejpam-1597	56	8	that	that	SCONJ
ejpam-1597	56	9	the	the	DET
ejpam-1597	56	10	error	error	NOUN
ejpam-1597	56	11	terms	term	NOUN
ejpam-1597	56	12	are	be	AUX
ejpam-1597	56	13	uncorrelated	uncorrelated	ADJ
ejpam-1597	56	14	,	,	PUNCT
ejpam-1597	56	15	homoskedastic	homoskedastic	ADJ
ejpam-1597	56	16	gaussian	gaussian	ADJ
ejpam-1597	56	17	white	white	ADJ
ejpam-1597	56	18	noise	noise	NOUN
ejpam-1597	56	19	,	,	PUNCT
ejpam-1597	56	20	or	or	CCONJ
ejpam-1597	56	21	e	e	VERB
ejpam-1597	56	22	∼	∼	NOUN
ejpam-1597	56	23	np(0,σ⊗	np(0,σ⊗	NOUN
ejpam-1597	56	24	in	in	ADP
ejpam-1597	56	25	)	)	PUNCT
ejpam-1597	56	26	,	,	PUNCT
ejpam-1597	56	27	(	(	PUNCT
ejpam-1597	56	28	2	2	X
ejpam-1597	56	29	)	)	PUNCT
ejpam-1597	56	30	where	where	SCONJ
ejpam-1597	56	31	the	the	DET
ejpam-1597	56	32	entire	entire	ADJ
ejpam-1597	56	33	covariance	covariance	NOUN
ejpam-1597	56	34	matrix	matrix	NOUN
ejpam-1597	56	35	of	of	ADP
ejpam-1597	56	36	the	the	DET
ejpam-1597	56	37	random	random	ADJ
ejpam-1597	56	38	error	error	NOUN
ejpam-1597	56	39	matrix	matrix	NOUN
ejpam-1597	56	40	e	e	NOUN
ejpam-1597	56	41	is	be	AUX
ejpam-1597	56	42	given	give	VERB
ejpam-1597	56	43	by	by	ADP
ejpam-1597	56	44	cov	cov	PROPN
ejpam-1597	56	45	(	(	PUNCT
ejpam-1597	56	46	e	e	NOUN
ejpam-1597	56	47	)	)	PUNCT
ejpam-1597	56	48	=	=	SYM
ejpam-1597	56	49	σ⊗	σ⊗	NOUN
ejpam-1597	56	50	in	in	ADP
ejpam-1597	56	51	.	.	PUNCT
ejpam-1597	57	1	(	(	PUNCT
ejpam-1597	57	2	3	3	X
ejpam-1597	57	3	)	)	PUNCT
ejpam-1597	57	4	h.	h.	NOUN
ejpam-1597	57	5	bozdogan	bozdogan	PROPN
ejpam-1597	57	6	,	,	PUNCT
ejpam-1597	57	7	j.	j.	PROPN
ejpam-1597	57	8	howe	howe	PROPN
ejpam-1597	57	9	/	/	SYM
ejpam-1597	57	10	eur	eur	PROPN
ejpam-1597	57	11	.	.	PUNCT
ejpam-1597	58	1	j.	j.	PROPN
ejpam-1597	58	2	pure	pure	PROPN
ejpam-1597	58	3	appl	appl	PROPN
ejpam-1597	58	4	.	.	PROPN
ejpam-1597	58	5	math	math	PROPN
ejpam-1597	58	6	,	,	PUNCT
ejpam-1597	58	7	5	5	NUM
ejpam-1597	58	8	(	(	PUNCT
ejpam-1597	58	9	2012	2012	NUM
ejpam-1597	58	10	)	)	PUNCT
ejpam-1597	58	11	,	,	PUNCT
ejpam-1597	58	12	211	211	NUM
ejpam-1597	58	13	-	-	SYM
ejpam-1597	58	14	249	249	NUM
ejpam-1597	58	15	214	214	NUM
ejpam-1597	58	16	this	this	PRON
ejpam-1597	58	17	is	be	AUX
ejpam-1597	58	18	an	an	DET
ejpam-1597	58	19	(	(	PUNCT
ejpam-1597	58	20	np×	np×	ADJ
ejpam-1597	58	21	np	np	INTJ
ejpam-1597	58	22	)	)	PUNCT
ejpam-1597	58	23	matrix	matrix	NOUN
ejpam-1597	58	24	,	,	PUNCT
ejpam-1597	58	25	where	where	SCONJ
ejpam-1597	58	26	⊗	⊗	PROPN
ejpam-1597	58	27	denotes	denote	VERB
ejpam-1597	58	28	the	the	DET
ejpam-1597	58	29	direct	direct	ADJ
ejpam-1597	58	30	or	or	CCONJ
ejpam-1597	58	31	kronecker	kronecker	NOUN
ejpam-1597	58	32	product	product	NOUN
ejpam-1597	58	33	.	.	PUNCT
ejpam-1597	59	1	stated	state	VERB
ejpam-1597	59	2	another	another	DET
ejpam-1597	59	3	way	way	NOUN
ejpam-1597	59	4	,	,	PUNCT
ejpam-1597	59	5	we	we	PRON
ejpam-1597	59	6	require	require	VERB
ejpam-1597	59	7	y	y	NOUN
ejpam-1597	59	8	∼	∼	NOUN
ejpam-1597	59	9	np(x	np(x	NOUN
ejpam-1597	59	10	b	b	NOUN
ejpam-1597	59	11	,	,	PUNCT
ejpam-1597	59	12	σ⊗	σ⊗	NOUN
ejpam-1597	59	13	in	in	ADP
ejpam-1597	59	14	)	)	PUNCT
ejpam-1597	59	15	,	,	PUNCT
ejpam-1597	59	16	(	(	PUNCT
ejpam-1597	59	17	4	4	X
ejpam-1597	59	18	)	)	PUNCT
ejpam-1597	59	19	where	where	SCONJ
ejpam-1597	59	20	e	e	X
ejpam-1597	59	21	(	(	PUNCT
ejpam-1597	59	22	y	y	PROPN
ejpam-1597	59	23	)	)	PUNCT
ejpam-1597	60	1	=	=	PUNCT
ejpam-1597	60	2	x	x	SYM
ejpam-1597	60	3	b	b	NOUN
ejpam-1597	60	4	,	,	PUNCT
ejpam-1597	60	5	and	and	CCONJ
ejpam-1597	60	6	cov(y	cov(y	PROPN
ejpam-1597	60	7	)	)	PUNCT
ejpam-1597	61	1	=	=	PUNCT
ejpam-1597	61	2	σ⊗	σ⊗	ADJ
ejpam-1597	61	3	in	in	ADP
ejpam-1597	61	4	.	.	PUNCT
ejpam-1597	62	1	(	(	PUNCT
ejpam-1597	62	2	5	5	NUM
ejpam-1597	62	3	)	)	PUNCT
ejpam-1597	62	4	under	under	ADP
ejpam-1597	62	5	the	the	DET
ejpam-1597	62	6	assumption	assumption	NOUN
ejpam-1597	62	7	of	of	ADP
ejpam-1597	62	8	gaussianity	gaussianity	NOUN
ejpam-1597	62	9	,	,	PUNCT
ejpam-1597	62	10	the	the	DET
ejpam-1597	62	11	log	log	NOUN
ejpam-1597	62	12	likelihood	likelihood	NOUN
ejpam-1597	62	13	of	of	ADP
ejpam-1597	62	14	the	the	DET
ejpam-1597	62	15	multivariate	multivariate	NOUN
ejpam-1597	62	16	regression	regression	NOUN
ejpam-1597	62	17	model	model	NOUN
ejpam-1597	62	18	is	be	AUX
ejpam-1597	62	19	given	give	VERB
ejpam-1597	62	20	by	by	ADP
ejpam-1597	62	21	log	log	NOUN
ejpam-1597	62	22	l(θ	l(θ	PRON
ejpam-1597	62	23	|	|	ADV
ejpam-1597	62	24	y	y	NOUN
ejpam-1597	62	25	)	)	PUNCT
ejpam-1597	63	1	=	=	PUNCT
ejpam-1597	63	2	−np	−np	PROPN
ejpam-1597	63	3	2	2	NUM
ejpam-1597	63	4	log(2π)−	log(2π)−	NUM
ejpam-1597	63	5	n	n	PRON
ejpam-1597	63	6	2	2	NUM
ejpam-1597	63	7	log	log	NOUN
ejpam-1597	63	8	|σ|	|σ|	PROPN
ejpam-1597	63	9	−	−	PROPN
ejpam-1597	63	10	1	1	NUM
ejpam-1597	63	11	2	2	NUM
ejpam-1597	63	12	tr[(y	tr[(y	NOUN
ejpam-1597	63	13	−	−	NOUN
ejpam-1597	63	14	x	x	X
ejpam-1597	63	15	b)σ−1	b)σ−1	PROPN
ejpam-1597	63	16	(	(	PUNCT
ejpam-1597	63	17	y	y	PROPN
ejpam-1597	63	18	−	−	PROPN
ejpam-1597	63	19	x	x	SYM
ejpam-1597	63	20	b)′	b)′	NOUN
ejpam-1597	63	21	]	]	PUNCT
ejpam-1597	63	22	.	.	PUNCT
ejpam-1597	64	1	(	(	PUNCT
ejpam-1597	64	2	6	6	X
ejpam-1597	64	3	)	)	PUNCT
ejpam-1597	64	4	we	we	PRON
ejpam-1597	64	5	obtain	obtain	VERB
ejpam-1597	64	6	quasi	quasi	ADJ
ejpam-1597	64	7	maximum	maximum	ADJ
ejpam-1597	64	8	-	-	PUNCT
ejpam-1597	64	9	likelihood	likelihood	NOUN
ejpam-1597	64	10	estimators	estimator	NOUN
ejpam-1597	64	11	of	of	ADP
ejpam-1597	64	12	b	b	NOUN
ejpam-1597	64	13	and	and	CCONJ
ejpam-1597	64	14	σ	σ	NOUN
ejpam-1597	64	15	by	by	ADP
ejpam-1597	64	16	maximizing	maximize	VERB
ejpam-1597	64	17	the	the	DET
ejpam-1597	64	18	log	log	NOUN
ejpam-1597	64	19	-	-	PUNCT
ejpam-1597	64	20	likelihood	likelihood	NOUN
ejpam-1597	64	21	function	function	NOUN
ejpam-1597	64	22	in	in	ADP
ejpam-1597	64	23	(	(	PUNCT
ejpam-1597	64	24	6	6	NUM
ejpam-1597	64	25	)	)	PUNCT
ejpam-1597	64	26	.	.	PUNCT
ejpam-1597	65	1	from	from	ADP
ejpam-1597	65	2	[	[	X
ejpam-1597	65	3	28	28	NUM
ejpam-1597	65	4	,	,	PUNCT
ejpam-1597	65	5	page	page	NOUN
ejpam-1597	65	6	321	321	NUM
ejpam-1597	65	7	]	]	PUNCT
ejpam-1597	65	8	,	,	PUNCT
ejpam-1597	65	9	the	the	DET
ejpam-1597	65	10	first	first	ADJ
ejpam-1597	65	11	differential	differential	NOUN
ejpam-1597	65	12	of	of	ADP
ejpam-1597	65	13	the	the	DET
ejpam-1597	65	14	log	log	NOUN
ejpam-1597	65	15	-	-	PUNCT
ejpam-1597	65	16	likelihood	likelihood	NOUN
ejpam-1597	65	17	is	be	AUX
ejpam-1597	65	18	d	d	PRON
ejpam-1597	65	19	log	log	VERB
ejpam-1597	65	20	l(θ	l(θ	PROPN
ejpam-1597	65	21	|	|	ADV
ejpam-1597	65	22	y	y	NOUN
ejpam-1597	65	23	)	)	PUNCT
ejpam-1597	66	1	=	=	PUNCT
ejpam-1597	66	2	−n	−n	ADJ
ejpam-1597	66	3	2	2	NUM
ejpam-1597	66	4	trς−1	trς−1	PROPN
ejpam-1597	66	5	dς+	dς+	NOUN
ejpam-1597	66	6	1	1	NUM
ejpam-1597	66	7	2	2	NUM
ejpam-1597	66	8	tr[(y	tr[(y	NOUN
ejpam-1597	66	9	−	−	NOUN
ejpam-1597	66	10	x	x	INTJ
ejpam-1597	67	1	b)σ−1(dς)σ−1(y	b)σ−1(dς)σ−1(y	NOUN
ejpam-1597	67	2	−	−	NOUN
ejpam-1597	68	1	x	x	SYM
ejpam-1597	69	1	b)′	b)′	NOUN
ejpam-1597	69	2	]	]	X
ejpam-1597	70	1	+	+	CCONJ
ejpam-1597	70	2	tr	tr	NOUN
ejpam-1597	70	3	x	x	X
ejpam-1597	70	4	(	(	PUNCT
ejpam-1597	70	5	d	d	NOUN
ejpam-1597	70	6	b)σ−1(y	b)σ−1(y	NOUN
ejpam-1597	70	7	−	−	PUNCT
ejpam-1597	71	1	x	x	PUNCT
ejpam-1597	71	2	b)′	b)′	NOUN
ejpam-1597	71	3	=	=	NOUN
ejpam-1597	71	4	1	1	NUM
ejpam-1597	71	5	2	2	NUM
ejpam-1597	71	6	tr(σ−1(y	tr(σ−1(y	NOUN
ejpam-1597	71	7	−	−	NOUN
ejpam-1597	71	8	x	x	SYM
ejpam-1597	71	9	b)′(y	b)′(y	ADV
ejpam-1597	72	1	−	−	NOUN
ejpam-1597	72	2	x	x	PUNCT
ejpam-1597	72	3	b)σ−1	b)σ−1	PROPN
ejpam-1597	72	4	−	−	PROPN
ejpam-1597	72	5	nς−1)dς	nς−1)dς	PROPN
ejpam-1597	72	6	+	+	X
ejpam-1597	72	7	trς−1(y	trς−1(y	ADJ
ejpam-1597	72	8	−	−	PROPN
ejpam-1597	73	1	x	x	SYM
ejpam-1597	73	2	b)′x	b)′x	PROPN
ejpam-1597	73	3	d	d	PROPN
ejpam-1597	73	4	b	b	PROPN
ejpam-1597	73	5	,	,	PUNCT
ejpam-1597	73	6	(	(	PUNCT
ejpam-1597	73	7	7	7	X
ejpam-1597	73	8	)	)	PUNCT
ejpam-1597	73	9	leading	lead	VERB
ejpam-1597	73	10	to	to	ADP
ejpam-1597	73	11	the	the	DET
ejpam-1597	73	12	first	first	ADJ
ejpam-1597	73	13	-	-	PUNCT
ejpam-1597	73	14	order	order	NOUN
ejpam-1597	73	15	conditions	condition	NOUN
ejpam-1597	73	16	σ−1(y	σ−1(y	PROPN
ejpam-1597	74	1	−	−	NOUN
ejpam-1597	75	1	x	x	SYM
ejpam-1597	75	2	b)′(y	b)′(y	ADV
ejpam-1597	75	3	−	−	NOUN
ejpam-1597	75	4	x	x	X
ejpam-1597	75	5	b)σ−1	b)σ−1	PROPN
ejpam-1597	75	6	=	=	SYM
ejpam-1597	75	7	nς−1	nς−1	PROPN
ejpam-1597	75	8	,	,	PUNCT
ejpam-1597	75	9	and	and	CCONJ
ejpam-1597	75	10	x	x	ADP
ejpam-1597	75	11	′(y	′(y	NOUN
ejpam-1597	75	12	−	−	NOUN
ejpam-1597	75	13	x	x	X
ejpam-1597	75	14	b)σ−1	b)σ−1	PROPN
ejpam-1597	75	15	=	=	SYM
ejpam-1597	75	16	0	0	PROPN
ejpam-1597	75	17	,	,	PUNCT
ejpam-1597	75	18	(	(	PUNCT
ejpam-1597	75	19	8)	8)	NUM
ejpam-1597	75	20	and	and	CCONJ
ejpam-1597	75	21	hence	hence	ADV
ejpam-1597	75	22	to	to	ADP
ejpam-1597	75	23	the	the	DET
ejpam-1597	75	24	quasi	quasi	ADJ
ejpam-1597	75	25	maximum	maximum	ADJ
ejpam-1597	75	26	-	-	PUNCT
ejpam-1597	75	27	likelihood	likelihood	NOUN
ejpam-1597	75	28	estimators	estimator	NOUN
ejpam-1597	75	29	of	of	ADP
ejpam-1597	75	30	b	b	NUM
ejpam-1597	75	31	and	and	CCONJ
ejpam-1597	75	32	σ	σ	NOUN
ejpam-1597	75	33	given	give	VERB
ejpam-1597	75	34	by	by	ADP
ejpam-1597	75	35	b̂	b̂	NOUN
ejpam-1597	75	36	=	=	SYM
ejpam-1597	75	37	(	(	PUNCT
ejpam-1597	75	38	x	x	NOUN
ejpam-1597	75	39	′x	′x	ADV
ejpam-1597	75	40	)	)	PUNCT
ejpam-1597	75	41	−1x	−1x	PROPN
ejpam-1597	75	42	′y	′y	NOUN
ejpam-1597	75	43	,	,	PUNCT
ejpam-1597	75	44	(	(	PUNCT
ejpam-1597	75	45	9	9	NUM
ejpam-1597	75	46	)	)	PUNCT
ejpam-1597	75	47	and	and	CCONJ
ejpam-1597	75	48	σ̂	σ̂	NUM
ejpam-1597	75	49	=	=	SYM
ejpam-1597	75	50	1	1	NUM
ejpam-1597	75	51	n	n	NOUN
ejpam-1597	75	52	(	(	PUNCT
ejpam-1597	75	53	y	y	NOUN
ejpam-1597	75	54	−	−	PROPN
ejpam-1597	75	55	x	x	PUNCT
ejpam-1597	75	56	b̂)′(y	b̂)′(y	VERB
ejpam-1597	75	57	−	−	NOUN
ejpam-1597	75	58	x	x	SYM
ejpam-1597	75	59	b̂	b̂	NOUN
ejpam-1597	75	60	)	)	PUNCT
ejpam-1597	75	61	=	=	SYM
ejpam-1597	75	62	1	1	NUM
ejpam-1597	75	63	n	n	PRON
ejpam-1597	75	64	ê′	ê′	PROPN
ejpam-1597	75	65	ê	ê	PROPN
ejpam-1597	75	66	=	=	SYM
ejpam-1597	75	67	1	1	NUM
ejpam-1597	75	68	n	n	NUM
ejpam-1597	75	69	y	y	PROPN
ejpam-1597	75	70	′my	′my	NOUN
ejpam-1597	75	71	,	,	PUNCT
ejpam-1597	75	72	(	(	PUNCT
ejpam-1597	75	73	10	10	NUM
ejpam-1597	75	74	)	)	PUNCT
ejpam-1597	75	75	where	where	SCONJ
ejpam-1597	75	76	m	m	VERB
ejpam-1597	75	77	=	=	VERB
ejpam-1597	75	78	i	i	PRON
ejpam-1597	75	79	−	−	NOUN
ejpam-1597	75	80	x	x	SYM
ejpam-1597	75	81	(	(	PUNCT
ejpam-1597	75	82	x	x	SYM
ejpam-1597	75	83	′x	′x	ADV
ejpam-1597	75	84	)	)	PUNCT
ejpam-1597	75	85	−1x	−1x	PROPN
ejpam-1597	75	86	′	′	NUM
ejpam-1597	75	87	is	be	AUX
ejpam-1597	75	88	an	an	DET
ejpam-1597	75	89	idempotent	idempotent	ADJ
ejpam-1597	75	90	matrix	matrix	NOUN
ejpam-1597	75	91	.	.	PUNCT
ejpam-1597	76	1	to	to	PART
ejpam-1597	76	2	derive	derive	VERB
ejpam-1597	76	3	the	the	DET
ejpam-1597	76	4	information	information	NOUN
ejpam-1597	76	5	complexity	complexity	NOUN
ejpam-1597	76	6	(	(	PUNCT
ejpam-1597	76	7	icom	icom	PROPN
ejpam-1597	76	8	p	p	NOUN
ejpam-1597	76	9	)	)	PUNCT
ejpam-1597	76	10	criteria	criterion	NOUN
ejpam-1597	76	11	,	,	PUNCT
ejpam-1597	76	12	we	we	PRON
ejpam-1597	76	13	modify	modify	VERB
ejpam-1597	76	14	the	the	DET
ejpam-1597	76	15	results	result	NOUN
ejpam-1597	76	16	of	of	ADP
ejpam-1597	76	17	[	[	X
ejpam-1597	76	18	28	28	NUM
ejpam-1597	76	19	,	,	PUNCT
ejpam-1597	76	20	page	page	NOUN
ejpam-1597	76	21	321	321	NUM
ejpam-1597	76	22	]	]	PUNCT
ejpam-1597	76	23	,	,	PUNCT
ejpam-1597	76	24	and	and	CCONJ
ejpam-1597	76	25	obtain	obtain	VERB
ejpam-1597	76	26	the	the	DET
ejpam-1597	76	27	estimated	estimate	VERB
ejpam-1597	76	28	inverse	inverse	NOUN
ejpam-1597	76	29	fisher	fisher	PROPN
ejpam-1597	76	30	information	information	NOUN
ejpam-1597	76	31	matrix	matrix	NOUN
ejpam-1597	76	32	(	(	PUNCT
ejpam-1597	76	33	ifim	ifim	NOUN
ejpam-1597	76	34	)	)	PUNCT
ejpam-1597	76	35	given	give	VERB
ejpam-1597	76	36	by	by	ADP
ejpam-1597	76	37	ôcov(vec(b̂	ôcov(vec(b̂	NUM
ejpam-1597	76	38	)	)	PUNCT
ejpam-1597	76	39	,	,	PUNCT
ejpam-1597	76	40	vech(σ̂))≡	vech(σ̂))≡	PROPN
ejpam-1597	76	41	f̂−1	f̂−1	PROPN
ejpam-1597	76	42	=	=	SYM
ejpam-1597	76	43	�	�	PROPN
ejpam-1597	76	44	σ̂⊗	σ̂⊗	PROPN
ejpam-1597	76	45	(	(	PUNCT
ejpam-1597	76	46	x	x	NOUN
ejpam-1597	76	47	′x	′x	ADV
ejpam-1597	76	48	)	)	PUNCT
ejpam-1597	76	49	−1	−1	NOUN
ejpam-1597	76	50	0	0	NUM
ejpam-1597	76	51	0′	0′	NUM
ejpam-1597	76	52	2	2	NUM
ejpam-1597	76	53	n	n	PROPN
ejpam-1597	76	54	d+p	d+p	PROPN
ejpam-1597	76	55	(	(	PUNCT
ejpam-1597	76	56	σ̂⊗	σ̂⊗	PROPN
ejpam-1597	76	57	σ̂)d+p	σ̂)d+p	PROPN
ejpam-1597	76	58	′	′	NUM
ejpam-1597	76	59	�	�	PROPN
ejpam-1597	76	60	,	,	PUNCT
ejpam-1597	76	61	(	(	PUNCT
ejpam-1597	76	62	11	11	NUM
ejpam-1597	76	63	)	)	PUNCT
ejpam-1597	76	64	where	where	SCONJ
ejpam-1597	76	65	d+p	d+p	X
ejpam-1597	77	1	=	=	PUNCT
ejpam-1597	77	2	(	(	PUNCT
ejpam-1597	77	3	d	d	NOUN
ejpam-1597	77	4	′	′	NUM
ejpam-1597	77	5	pdp	pdp	PROPN
ejpam-1597	77	6	)	)	PUNCT
ejpam-1597	77	7	−1dp	−1dp	PROPN
ejpam-1597	77	8	is	be	AUX
ejpam-1597	77	9	the	the	DET
ejpam-1597	77	10	moore	moore	PROPN
ejpam-1597	77	11	-	-	PUNCT
ejpam-1597	77	12	penrose	penrose	PROPN
ejpam-1597	77	13	inverse	inverse	NOUN
ejpam-1597	77	14	of	of	ADP
ejpam-1597	77	15	the	the	DET
ejpam-1597	77	16	duplication	duplication	NOUN
ejpam-1597	77	17	matrix	matrix	NOUN
ejpam-1597	77	18	,	,	PUNCT
ejpam-1597	78	1	dp	dp	PROPN
ejpam-1597	78	2	.	.	PUNCT
ejpam-1597	78	3	dp	dp	PROPN
ejpam-1597	78	4	is	be	AUX
ejpam-1597	78	5	a	a	DET
ejpam-1597	78	6	unique	unique	ADJ
ejpam-1597	78	7	p2×	p2×	NOUN
ejpam-1597	78	8	1	1	NUM
ejpam-1597	78	9	2	2	NUM
ejpam-1597	78	10	p(p+1)matrix	p(p+1)matrix	NOUN
ejpam-1597	78	11	that	that	PRON
ejpam-1597	78	12	transforms	transform	VERB
ejpam-1597	78	13	,	,	PUNCT
ejpam-1597	78	14	for	for	ADP
ejpam-1597	78	15	symmetric	symmetric	ADJ
ejpam-1597	78	16	σ	σ	PROPN
ejpam-1597	78	17	,	,	PUNCT
ejpam-1597	78	18	vech(σ	vech(σ	PROPN
ejpam-1597	78	19	)	)	PUNCT
ejpam-1597	78	20	into	into	ADP
ejpam-1597	78	21	−→	−→	NOUN
ejpam-1597	78	22	σ	σ	NOUN
ejpam-1597	78	23	.	.	PUNCT
ejpam-1597	79	1	for	for	ADP
ejpam-1597	79	2	example	example	NOUN
ejpam-1597	79	3	,	,	PUNCT
ejpam-1597	79	4	for	for	ADP
ejpam-1597	79	5	p	p	NOUN
ejpam-1597	79	6	=	=	SYM
ejpam-1597	79	7	2	2	NUM
ejpam-1597	79	8	,	,	PUNCT
ejpam-1597	79	9	−→	−→	NOUN
ejpam-1597	79	10	σ	σ	NOUN
ejpam-1597	79	11	=	=	SYM
ejpam-1597	79	12	(	(	PUNCT
ejpam-1597	79	13	σ11,σ21,σ12,σ22	σ11,σ21,σ12,σ22	PROPN
ejpam-1597	79	14	)	)	PUNCT
ejpam-1597	79	15	′	′	NOUN
ejpam-1597	79	16	,	,	PUNCT
ejpam-1597	79	17	and	and	CCONJ
ejpam-1597	79	18	vech(σ	vech(σ	NOUN
ejpam-1597	79	19	)	)	PUNCT
ejpam-1597	79	20	=	=	SYM
ejpam-1597	79	21	(	(	PUNCT
ejpam-1597	79	22	σ11,σ21,σ22	σ11,σ21,σ22	PROPN
ejpam-1597	79	23	)	)	PUNCT
ejpam-1597	79	24	′	′	NOUN
ejpam-1597	79	25	,	,	PUNCT
ejpam-1597	79	26	h.	h.	PROPN
ejpam-1597	79	27	bozdogan	bozdogan	PROPN
ejpam-1597	79	28	,	,	PUNCT
ejpam-1597	79	29	j.	j.	PROPN
ejpam-1597	79	30	howe	howe	PROPN
ejpam-1597	79	31	/	/	SYM
ejpam-1597	79	32	eur	eur	PROPN
ejpam-1597	79	33	.	.	PUNCT
ejpam-1597	80	1	j.	j.	PROPN
ejpam-1597	80	2	pure	pure	PROPN
ejpam-1597	80	3	appl	appl	PROPN
ejpam-1597	80	4	.	.	PROPN
ejpam-1597	80	5	math	math	PROPN
ejpam-1597	80	6	,	,	PUNCT
ejpam-1597	80	7	5	5	NUM
ejpam-1597	80	8	(	(	PUNCT
ejpam-1597	80	9	2012	2012	NUM
ejpam-1597	80	10	)	)	PUNCT
ejpam-1597	80	11	,	,	PUNCT
ejpam-1597	80	12	211	211	NUM
ejpam-1597	80	13	-	-	SYM
ejpam-1597	80	14	249	249	NUM
ejpam-1597	80	15	215	215	NUM
ejpam-1597	80	16	where	where	SCONJ
ejpam-1597	80	17	the	the	DET
ejpam-1597	80	18	supradiagonal	supradiagonal	ADJ
ejpam-1597	80	19	element	element	NOUN
ejpam-1597	80	20	σ12	σ12	NOUN
ejpam-1597	80	21	has	have	AUX
ejpam-1597	80	22	been	be	AUX
ejpam-1597	80	23	removed	remove	VERB
ejpam-1597	80	24	.	.	PUNCT
ejpam-1597	81	1	thus	thus	ADV
ejpam-1597	81	2	,	,	PUNCT
ejpam-1597	81	3	for	for	ADP
ejpam-1597	81	4	symmetric	symmetric	ADJ
ejpam-1597	81	5	σ	σ	PROPN
ejpam-1597	81	6	,	,	PUNCT
ejpam-1597	81	7	vech(σ	vech(σ	PROPN
ejpam-1597	81	8	)	)	PUNCT
ejpam-1597	81	9	only	only	ADV
ejpam-1597	81	10	contains	contain	VERB
ejpam-1597	81	11	the	the	DET
ejpam-1597	81	12	distinct	distinct	ADJ
ejpam-1597	81	13	elements	element	NOUN
ejpam-1597	81	14	of	of	ADP
ejpam-1597	81	15	σ	σ	PROPN
ejpam-1597	81	16	.	.	PUNCT
ejpam-1597	82	1	that	that	PRON
ejpam-1597	82	2	is	be	AUX
ejpam-1597	82	3	,	,	PUNCT
ejpam-1597	82	4	dp	dp	PROPN
ejpam-1597	82	5	vech(σ	vech(σ	NOUN
ejpam-1597	82	6	)	)	PUNCT
ejpam-1597	82	7	=	=	SYM
ejpam-1597	83	1	−→	−→	NOUN
ejpam-1597	83	2	σ	σ	NOUN
ejpam-1597	83	3	,	,	PUNCT
ejpam-1597	83	4	(	(	PUNCT
ejpam-1597	83	5	σ	σ	NOUN
ejpam-1597	83	6	=	=	PUNCT
ejpam-1597	83	7	σ′	σ′	PROPN
ejpam-1597	83	8	)	)	PUNCT
ejpam-1597	83	9	.	.	PUNCT
ejpam-1597	84	1	for	for	ADP
ejpam-1597	84	2	an	an	DET
ejpam-1597	84	3	excellent	excellent	ADJ
ejpam-1597	84	4	treatment	treatment	NOUN
ejpam-1597	84	5	of	of	ADP
ejpam-1597	84	6	dp	dp	NOUN
ejpam-1597	84	7	,	,	PUNCT
ejpam-1597	84	8	see	see	VERB
ejpam-1597	84	9	[	[	X
ejpam-1597	84	10	26	26	NUM
ejpam-1597	84	11	]	]	PUNCT
ejpam-1597	84	12	.	.	PUNCT
ejpam-1597	85	1	the	the	DET
ejpam-1597	85	2	ifim	ifim	NOUN
ejpam-1597	85	3	provides	provide	VERB
ejpam-1597	85	4	the	the	DET
ejpam-1597	85	5	asymptotic	asymptotic	ADJ
ejpam-1597	85	6	variance	variance	NOUN
ejpam-1597	85	7	of	of	ADP
ejpam-1597	85	8	the	the	DET
ejpam-1597	85	9	ml	ml	X
ejpam-1597	85	10	estimator	estimator	NOUN
ejpam-1597	85	11	when	when	SCONJ
ejpam-1597	85	12	the	the	DET
ejpam-1597	85	13	model	model	NOUN
ejpam-1597	85	14	is	be	AUX
ejpam-1597	85	15	correctly	correctly	ADV
ejpam-1597	85	16	specified	specify	VERB
ejpam-1597	85	17	.	.	PUNCT
ejpam-1597	86	1	its	its	PRON
ejpam-1597	86	2	trace	trace	NOUN
ejpam-1597	86	3	and	and	CCONJ
ejpam-1597	86	4	determinant	determinant	ADJ
ejpam-1597	86	5	provide	provide	VERB
ejpam-1597	86	6	scalar	scalar	ADJ
ejpam-1597	86	7	measures	measure	NOUN
ejpam-1597	86	8	of	of	ADP
ejpam-1597	86	9	the	the	DET
ejpam-1597	86	10	asymptotic	asymptotic	ADJ
ejpam-1597	86	11	variance	variance	NOUN
ejpam-1597	86	12	,	,	PUNCT
ejpam-1597	86	13	and	and	CCONJ
ejpam-1597	86	14	they	they	PRON
ejpam-1597	86	15	play	play	VERB
ejpam-1597	86	16	a	a	DET
ejpam-1597	86	17	key	key	ADJ
ejpam-1597	86	18	role	role	NOUN
ejpam-1597	86	19	in	in	ADP
ejpam-1597	86	20	the	the	DET
ejpam-1597	86	21	construction	construction	NOUN
ejpam-1597	86	22	of	of	ADP
ejpam-1597	86	23	information	information	NOUN
ejpam-1597	86	24	complexity	complexity	NOUN
ejpam-1597	86	25	.	.	PUNCT
ejpam-1597	87	1	it	it	PRON
ejpam-1597	87	2	is	be	AUX
ejpam-1597	87	3	also	also	ADV
ejpam-1597	87	4	very	very	ADV
ejpam-1597	87	5	useful	useful	ADJ
ejpam-1597	87	6	,	,	PUNCT
ejpam-1597	87	7	as	as	SCONJ
ejpam-1597	87	8	it	it	PRON
ejpam-1597	87	9	provides	provide	VERB
ejpam-1597	87	10	standard	standard	ADJ
ejpam-1597	87	11	errors	error	NOUN
ejpam-1597	87	12	for	for	ADP
ejpam-1597	87	13	the	the	DET
ejpam-1597	87	14	regression	regression	NOUN
ejpam-1597	87	15	coefficients	coefficient	NOUN
ejpam-1597	87	16	on	on	ADP
ejpam-1597	87	17	the	the	DET
ejpam-1597	87	18	diagonals	diagonal	NOUN
ejpam-1597	87	19	.	.	PUNCT
ejpam-1597	88	1	the	the	DET
ejpam-1597	88	2	method	method	NOUN
ejpam-1597	88	3	of	of	ADP
ejpam-1597	88	4	least	least	ADJ
ejpam-1597	88	5	squares	square	NOUN
ejpam-1597	88	6	is	be	AUX
ejpam-1597	88	7	generally	generally	ADV
ejpam-1597	88	8	used	use	VERB
ejpam-1597	88	9	to	to	PART
ejpam-1597	88	10	estimate	estimate	VERB
ejpam-1597	88	11	the	the	DET
ejpam-1597	88	12	coefficients	coefficient	NOUN
ejpam-1597	88	13	in	in	ADP
ejpam-1597	88	14	regression	regression	NOUN
ejpam-1597	88	15	models	model	NOUN
ejpam-1597	88	16	.	.	PUNCT
ejpam-1597	89	1	in	in	ADP
ejpam-1597	89	2	many	many	ADJ
ejpam-1597	89	3	applications	application	NOUN
ejpam-1597	89	4	,	,	PUNCT
ejpam-1597	89	5	the	the	DET
ejpam-1597	89	6	results	result	NOUN
ejpam-1597	89	7	of	of	ADP
ejpam-1597	89	8	a	a	DET
ejpam-1597	89	9	least	least	ADJ
ejpam-1597	89	10	-	-	PUNCT
ejpam-1597	89	11	squares	square	NOUN
ejpam-1597	89	12	fit	fit	ADJ
ejpam-1597	89	13	are	be	AUX
ejpam-1597	89	14	often	often	ADV
ejpam-1597	89	15	unacceptable	unacceptable	ADJ
ejpam-1597	89	16	when	when	SCONJ
ejpam-1597	89	17	the	the	DET
ejpam-1597	89	18	model	model	NOUN
ejpam-1597	89	19	is	be	AUX
ejpam-1597	89	20	misspecified	misspecifie	VERB
ejpam-1597	89	21	,	,	PUNCT
ejpam-1597	89	22	or	or	CCONJ
ejpam-1597	89	23	when	when	SCONJ
ejpam-1597	89	24	the	the	DET
ejpam-1597	89	25	model	model	NOUN
ejpam-1597	89	26	is	be	AUX
ejpam-1597	89	27	wrong	wrong	ADJ
ejpam-1597	89	28	.	.	PUNCT
ejpam-1597	90	1	in	in	ADP
ejpam-1597	90	2	most	most	ADJ
ejpam-1597	90	3	statistical	statistical	ADJ
ejpam-1597	90	4	modeling	modeling	NOUN
ejpam-1597	90	5	problems	problem	NOUN
ejpam-1597	90	6	,	,	PUNCT
ejpam-1597	90	7	we	we	PRON
ejpam-1597	90	8	almost	almost	ADV
ejpam-1597	90	9	always	always	ADV
ejpam-1597	90	10	fit	fit	VERB
ejpam-1597	90	11	a	a	DET
ejpam-1597	90	12	wrong	wrong	ADJ
ejpam-1597	90	13	model	model	NOUN
ejpam-1597	90	14	to	to	ADP
ejpam-1597	90	15	the	the	DET
ejpam-1597	90	16	observed	observe	VERB
ejpam-1597	90	17	data	datum	NOUN
ejpam-1597	90	18	.	.	PUNCT
ejpam-1597	91	1	this	this	PRON
ejpam-1597	91	2	can	can	AUX
ejpam-1597	91	3	introduce	introduce	VERB
ejpam-1597	91	4	bias	bias	NOUN
ejpam-1597	91	5	into	into	ADP
ejpam-1597	91	6	the	the	DET
ejpam-1597	91	7	model	model	NOUN
ejpam-1597	91	8	due	due	ADP
ejpam-1597	91	9	to	to	ADP
ejpam-1597	91	10	model	model	NOUN
ejpam-1597	91	11	misspecification	misspecification	NOUN
ejpam-1597	91	12	.	.	PUNCT
ejpam-1597	92	1	there	there	PRON
ejpam-1597	92	2	are	be	VERB
ejpam-1597	92	3	a	a	DET
ejpam-1597	92	4	number	number	NOUN
ejpam-1597	92	5	of	of	ADP
ejpam-1597	92	6	ways	way	NOUN
ejpam-1597	92	7	a	a	DET
ejpam-1597	92	8	researcher	researcher	NOUN
ejpam-1597	92	9	can	can	AUX
ejpam-1597	92	10	misspecify	misspecify	VERB
ejpam-1597	92	11	a	a	DET
ejpam-1597	92	12	regression	regression	NOUN
ejpam-1597	92	13	model	model	NOUN
ejpam-1597	92	14	.	.	PUNCT
ejpam-1597	93	1	some	some	PRON
ejpam-1597	93	2	of	of	ADP
ejpam-1597	93	3	these	these	PRON
ejpam-1597	93	4	are	be	AUX
ejpam-1597	93	5	discussed	discuss	VERB
ejpam-1597	93	6	in	in	ADP
ejpam-1597	93	7	[	[	X
ejpam-1597	93	8	15	15	NUM
ejpam-1597	93	9	,	,	PUNCT
ejpam-1597	93	10	page	page	NOUN
ejpam-1597	93	11	100	100	NUM
ejpam-1597	93	12	]	]	PUNCT
ejpam-1597	93	13	.	.	PUNCT
ejpam-1597	94	1	in	in	ADP
ejpam-1597	94	2	the	the	DET
ejpam-1597	94	3	context	context	NOUN
ejpam-1597	94	4	of	of	ADP
ejpam-1597	94	5	regression	regression	NOUN
ejpam-1597	94	6	,	,	PUNCT
ejpam-1597	94	7	one	one	NUM
ejpam-1597	94	8	of	of	ADP
ejpam-1597	94	9	the	the	DET
ejpam-1597	94	10	most	most	ADV
ejpam-1597	94	11	abused	abuse	VERB
ejpam-1597	94	12	assumptions	assumption	NOUN
ejpam-1597	94	13	is	be	AUX
ejpam-1597	94	14	that	that	PRON
ejpam-1597	94	15	of	of	ADP
ejpam-1597	94	16	normality	normality	NOUN
ejpam-1597	94	17	.	.	PUNCT
ejpam-1597	95	1	the	the	DET
ejpam-1597	95	2	most	most	ADV
ejpam-1597	95	3	common	common	ADJ
ejpam-1597	95	4	causes	cause	NOUN
ejpam-1597	95	5	of	of	ADP
ejpam-1597	95	6	model	model	NOUN
ejpam-1597	95	7	misspecification	misspecification	NOUN
ejpam-1597	95	8	include	include	VERB
ejpam-1597	95	9	:	:	PUNCT
ejpam-1597	95	10	•	•	NUM
ejpam-1597	95	11	multicollinearity	multicollinearity	NOUN
ejpam-1597	95	12	,	,	PUNCT
ejpam-1597	95	13	•	•	NUM
ejpam-1597	95	14	autocorrelation	autocorrelation	NOUN
ejpam-1597	95	15	,	,	PUNCT
ejpam-1597	95	16	•	•	ADP
ejpam-1597	95	17	heteroskedasticity	heteroskedasticity	NOUN
ejpam-1597	95	18	,	,	PUNCT
ejpam-1597	95	19	•	•	NUM
ejpam-1597	95	20	incorrect	incorrect	ADJ
ejpam-1597	95	21	functional	functional	ADJ
ejpam-1597	95	22	form	form	NOUN
ejpam-1597	95	23	.	.	PUNCT
ejpam-1597	96	1	characteristics	characteristic	NOUN
ejpam-1597	96	2	related	relate	VERB
ejpam-1597	96	3	to	to	ADP
ejpam-1597	96	4	this	this	DET
ejpam-1597	96	5	last	last	ADJ
ejpam-1597	96	6	bullet	bullet	NOUN
ejpam-1597	96	7	point	point	NOUN
ejpam-1597	96	8	that	that	PRON
ejpam-1597	96	9	are	be	AUX
ejpam-1597	96	10	easy	easy	ADJ
ejpam-1597	96	11	to	to	PART
ejpam-1597	96	12	visualize	visualize	VERB
ejpam-1597	96	13	include	include	VERB
ejpam-1597	96	14	:	:	PUNCT
ejpam-1597	96	15	•	•	NUM
ejpam-1597	96	16	leptokurtosis	leptokurtosis	PROPN
ejpam-1597	96	17	high	high	ADJ
ejpam-1597	96	18	peak	peak	NOUN
ejpam-1597	96	19	;	;	PUNCT
ejpam-1597	96	20	more	more	ADJ
ejpam-1597	96	21	variation	variation	NOUN
ejpam-1597	96	22	;	;	PUNCT
ejpam-1597	96	23	higher	high	ADJ
ejpam-1597	96	24	probability	probability	NOUN
ejpam-1597	96	25	in	in	ADP
ejpam-1597	96	26	tails	tail	NOUN
ejpam-1597	96	27	•	•	ADP
ejpam-1597	96	28	platykurtosis	platykurtosis	NOUN
ejpam-1597	96	29	flatter	flatter	NOUN
ejpam-1597	96	30	;	;	PUNCT
ejpam-1597	96	31	less	less	ADJ
ejpam-1597	96	32	variation	variation	NOUN
ejpam-1597	96	33	;	;	PUNCT
ejpam-1597	96	34	lower	low	ADJ
ejpam-1597	96	35	probability	probability	NOUN
ejpam-1597	96	36	in	in	ADP
ejpam-1597	96	37	tails	tail	NOUN
ejpam-1597	96	38	•	•	PRON
ejpam-1597	96	39	skewness	skewness	NOUN
ejpam-1597	96	40	asymmetric	asymmetric	NOUN
ejpam-1597	96	41	;	;	PUNCT
ejpam-1597	96	42	higher	high	ADJ
ejpam-1597	96	43	probability	probability	NOUN
ejpam-1597	96	44	in	in	ADP
ejpam-1597	96	45	one	one	NUM
ejpam-1597	96	46	tail	tail	NOUN
ejpam-1597	96	47	,	,	PUNCT
ejpam-1597	96	48	lower	low	ADJ
ejpam-1597	96	49	probability	probability	NOUN
ejpam-1597	96	50	in	in	ADP
ejpam-1597	96	51	other	other	ADJ
ejpam-1597	96	52	.	.	PUNCT
ejpam-1597	97	1	examples	example	NOUN
ejpam-1597	97	2	can	can	AUX
ejpam-1597	97	3	be	be	AUX
ejpam-1597	97	4	seen	see	VERB
ejpam-1597	97	5	in	in	ADP
ejpam-1597	97	6	figures	figure	NOUN
ejpam-1597	97	7	1	1	NUM
ejpam-1597	97	8	,	,	PUNCT
ejpam-1597	97	9	2	2	NUM
ejpam-1597	97	10	,	,	PUNCT
ejpam-1597	97	11	and	and	CCONJ
ejpam-1597	97	12	3	3	NUM
ejpam-1597	97	13	,	,	PUNCT
ejpam-1597	97	14	generated	generate	VERB
ejpam-1597	97	15	by	by	ADP
ejpam-1597	97	16	the	the	DET
ejpam-1597	97	17	multivariate	multivariate	NOUN
ejpam-1597	97	18	power	power	NOUN
ejpam-1597	97	19	exponential	exponential	ADJ
ejpam-1597	97	20	distribution	distribution	NOUN
ejpam-1597	97	21	given	give	VERB
ejpam-1597	97	22	in	in	ADP
ejpam-1597	97	23	section	section	NOUN
ejpam-1597	97	24	7.1	7.1	NUM
ejpam-1597	97	25	.	.	PUNCT
ejpam-1597	98	1	in	in	ADP
ejpam-1597	98	2	the	the	DET
ejpam-1597	98	3	right	right	ADJ
ejpam-1597	98	4	pane	pane	NOUN
ejpam-1597	98	5	of	of	ADP
ejpam-1597	98	6	all	all	DET
ejpam-1597	98	7	three	three	NUM
ejpam-1597	98	8	plots	plot	NOUN
ejpam-1597	98	9	,	,	PUNCT
ejpam-1597	98	10	the	the	DET
ejpam-1597	98	11	heavy	heavy	ADJ
ejpam-1597	98	12	black	black	ADJ
ejpam-1597	98	13	dotted	dotted	ADJ
ejpam-1597	98	14	contours	contours	NOUN
ejpam-1597	98	15	are	be	AUX
ejpam-1597	98	16	from	from	ADP
ejpam-1597	98	17	the	the	DET
ejpam-1597	98	18	gaussian	gaussian	ADJ
ejpam-1597	98	19	distribution	distribution	NOUN
ejpam-1597	98	20	,	,	PUNCT
ejpam-1597	98	21	for	for	ADP
ejpam-1597	98	22	comparison	comparison	NOUN
ejpam-1597	98	23	.	.	PUNCT
ejpam-1597	99	1	characteristics	characteristic	NOUN
ejpam-1597	99	2	in	in	ADP
ejpam-1597	99	3	the	the	DET
ejpam-1597	99	4	first	first	ADJ
ejpam-1597	99	5	and	and	CCONJ
ejpam-1597	99	6	last	last	ADJ
ejpam-1597	99	7	figures	figure	NOUN
ejpam-1597	99	8	are	be	AUX
ejpam-1597	99	9	most	most	ADV
ejpam-1597	99	10	common	common	ADJ
ejpam-1597	99	11	in	in	ADP
ejpam-1597	99	12	real	real	ADJ
ejpam-1597	99	13	multivariate	multivariate	NOUN
ejpam-1597	99	14	data	datum	NOUN
ejpam-1597	99	15	.	.	PUNCT
ejpam-1597	100	1	unfortunately	unfortunately	ADV
ejpam-1597	100	2	,	,	PUNCT
ejpam-1597	100	3	in	in	ADP
ejpam-1597	100	4	the	the	DET
ejpam-1597	100	5	literature	literature	NOUN
ejpam-1597	100	6	the	the	DET
ejpam-1597	100	7	−4	−4	PROPN
ejpam-1597	100	8	−2	−2	NOUN
ejpam-1597	100	9	0	0	NUM
ejpam-1597	100	10	2	2	NUM
ejpam-1597	100	11	4	4	NUM
ejpam-1597	100	12	−2	−2	NOUN
ejpam-1597	100	13	0	0	NUM
ejpam-1597	100	14	2	2	NUM
ejpam-1597	100	15	x1x2	x1x2	SYM
ejpam-1597	100	16	−4	−4	X
ejpam-1597	100	17	−2	−2	NOUN
ejpam-1597	100	18	0	0	NUM
ejpam-1597	100	19	2	2	NUM
ejpam-1597	100	20	4	4	NUM
ejpam-1597	100	21	−2	−2	NOUN
ejpam-1597	100	22	−1	−1	NOUN
ejpam-1597	100	23	0	0	NUM
ejpam-1597	100	24	1	1	NUM
ejpam-1597	100	25	2	2	NUM
ejpam-1597	100	26	figure	figure	NOUN
ejpam-1597	100	27	1	1	NUM
ejpam-1597	100	28	:	:	PUNCT
ejpam-1597	100	29	surfa	surfa	PROPN
ejpam-1597	100	30	e	e	PROPN
ejpam-1597	100	31	and	and	CCONJ
ejpam-1597	100	32	ontour	ontour	ADJ
ejpam-1597	100	33	plot	plot	NOUN
ejpam-1597	100	34	for	for	ADP
ejpam-1597	100	35	leptokurti	leptokurti	PROPN
ejpam-1597	100	36	data	datum	NOUN
ejpam-1597	100	37	(	(	PUNCT
ejpam-1597	100	38	bla	bla	NOUN
ejpam-1597	100	39	k	k	PROPN
ejpam-1597	100	40	ontours	ontours	PROPN
ejpam-1597	100	41	=	=	SYM
ejpam-1597	100	42	gaussian	gaussian	NOUN
ejpam-1597	100	43	)	)	PUNCT
ejpam-1597	100	44	.	.	PUNCT
ejpam-1597	101	1	h.	h.	PROPN
ejpam-1597	101	2	bozdogan	bozdogan	PROPN
ejpam-1597	101	3	,	,	PUNCT
ejpam-1597	101	4	j.	j.	PROPN
ejpam-1597	101	5	howe	howe	PROPN
ejpam-1597	101	6	/	/	SYM
ejpam-1597	101	7	eur	eur	PROPN
ejpam-1597	101	8	.	.	PUNCT
ejpam-1597	102	1	j.	j.	PROPN
ejpam-1597	102	2	pure	pure	PROPN
ejpam-1597	102	3	appl	appl	PROPN
ejpam-1597	102	4	.	.	PROPN
ejpam-1597	102	5	math	math	PROPN
ejpam-1597	102	6	,	,	PUNCT
ejpam-1597	102	7	5	5	NUM
ejpam-1597	102	8	(	(	PUNCT
ejpam-1597	102	9	2012	2012	NUM
ejpam-1597	102	10	)	)	PUNCT
ejpam-1597	102	11	,	,	PUNCT
ejpam-1597	102	12	211	211	NUM
ejpam-1597	102	13	-	-	SYM
ejpam-1597	102	14	249	249	NUM
ejpam-1597	102	15	216	216	NUM
ejpam-1597	102	16	−4	−4	NOUN
ejpam-1597	102	17	−2	−2	NOUN
ejpam-1597	102	18	0	0	NUM
ejpam-1597	102	19	2	2	NUM
ejpam-1597	102	20	4	4	NUM
ejpam-1597	102	21	−2	−2	NOUN
ejpam-1597	102	22	0	0	NUM
ejpam-1597	102	23	2	2	NUM
ejpam-1597	102	24	x1x2	x1x2	SYM
ejpam-1597	102	25	−4	−4	X
ejpam-1597	102	26	−2	−2	NOUN
ejpam-1597	102	27	0	0	NUM
ejpam-1597	102	28	2	2	NUM
ejpam-1597	102	29	4	4	NUM
ejpam-1597	102	30	−2	−2	NOUN
ejpam-1597	102	31	−1	−1	NOUN
ejpam-1597	102	32	0	0	NUM
ejpam-1597	102	33	1	1	NUM
ejpam-1597	102	34	2	2	NUM
ejpam-1597	102	35	figure	figure	NOUN
ejpam-1597	102	36	2	2	NUM
ejpam-1597	102	37	:	:	PUNCT
ejpam-1597	102	38	surfa	surfa	PROPN
ejpam-1597	102	39	e	e	PROPN
ejpam-1597	102	40	and	and	CCONJ
ejpam-1597	102	41	ontour	ontour	ADJ
ejpam-1597	102	42	plot	plot	NOUN
ejpam-1597	102	43	for	for	ADP
ejpam-1597	102	44	platykurti	platykurti	NOUN
ejpam-1597	102	45	data	datum	NOUN
ejpam-1597	102	46	(	(	PUNCT
ejpam-1597	102	47	bla	bla	NOUN
ejpam-1597	102	48	k	k	PROPN
ejpam-1597	102	49	ontours	ontours	PROPN
ejpam-1597	103	1	=	=	SYM
ejpam-1597	103	2	gaussian	gaussian	NOUN
ejpam-1597	103	3	)	)	PUNCT
ejpam-1597	103	4	.	.	PUNCT
ejpam-1597	104	1	−4	−4	X
ejpam-1597	105	1	−2	−2	NOUN
ejpam-1597	105	2	0	0	NUM
ejpam-1597	105	3	2	2	NUM
ejpam-1597	105	4	4	4	NUM
ejpam-1597	105	5	−2	−2	NOUN
ejpam-1597	105	6	0	0	NUM
ejpam-1597	105	7	2	2	NUM
ejpam-1597	105	8	x1x2	x1x2	SYM
ejpam-1597	105	9	−4	−4	X
ejpam-1597	105	10	−2	−2	NOUN
ejpam-1597	105	11	0	0	NUM
ejpam-1597	105	12	2	2	NUM
ejpam-1597	105	13	4	4	NUM
ejpam-1597	105	14	−2	−2	NOUN
ejpam-1597	105	15	−1	−1	NOUN
ejpam-1597	105	16	0	0	NUM
ejpam-1597	105	17	1	1	NUM
ejpam-1597	105	18	2	2	NUM
ejpam-1597	105	19	figure	figure	NOUN
ejpam-1597	105	20	3	3	NUM
ejpam-1597	105	21	:	:	PUNCT
ejpam-1597	105	22	surfa	surfa	PROPN
ejpam-1597	105	23	e	e	PROPN
ejpam-1597	105	24	and	and	CCONJ
ejpam-1597	105	25	ontour	ontour	ADJ
ejpam-1597	105	26	plot	plot	NOUN
ejpam-1597	105	27	for	for	ADP
ejpam-1597	105	28	skewed	skewed	ADJ
ejpam-1597	105	29	data	datum	NOUN
ejpam-1597	105	30	(	(	PUNCT
ejpam-1597	105	31	bla	bla	NOUN
ejpam-1597	105	32	k	k	PROPN
ejpam-1597	105	33	ontours	ontours	PROPN
ejpam-1597	105	34	=	=	SYM
ejpam-1597	105	35	gaussian	gaussian	NOUN
ejpam-1597	105	36	)	)	PUNCT
ejpam-1597	105	37	.	.	PUNCT
ejpam-1597	106	1	common	common	ADJ
ejpam-1597	106	2	answer	answer	NOUN
ejpam-1597	106	3	to	to	ADP
ejpam-1597	106	4	nonnormality	nonnormality	NOUN
ejpam-1597	106	5	,	,	PUNCT
ejpam-1597	106	6	has	have	AUX
ejpam-1597	106	7	been	be	AUX
ejpam-1597	106	8	the	the	DET
ejpam-1597	106	9	utilization	utilization	NOUN
ejpam-1597	106	10	of	of	ADP
ejpam-1597	106	11	box	box	NOUN
ejpam-1597	106	12	-	-	PUNCT
ejpam-1597	106	13	cox	cox	NOUN
ejpam-1597	106	14	transformations	transformation	NOUN
ejpam-1597	106	15	of	of	ADP
ejpam-1597	106	16	[	[	X
ejpam-1597	106	17	3	3	NUM
ejpam-1597	106	18	]	]	PUNCT
ejpam-1597	106	19	,	,	PUNCT
ejpam-1597	106	20	which	which	PRON
ejpam-1597	106	21	does	do	AUX
ejpam-1597	106	22	not	not	PART
ejpam-1597	106	23	seem	seem	VERB
ejpam-1597	106	24	to	to	PART
ejpam-1597	106	25	work	work	VERB
ejpam-1597	106	26	consistently	consistently	ADV
ejpam-1597	106	27	well	well	ADV
ejpam-1597	106	28	,	,	PUNCT
ejpam-1597	106	29	in	in	ADP
ejpam-1597	106	30	the	the	DET
ejpam-1597	106	31	context	context	NOUN
ejpam-1597	106	32	of	of	ADP
ejpam-1597	106	33	both	both	CCONJ
ejpam-1597	106	34	univariate	univariate	ADJ
ejpam-1597	106	35	and	and	CCONJ
ejpam-1597	106	36	multivariate	multivariate	VERB
ejpam-1597	106	37	regression	regression	NOUN
ejpam-1597	106	38	models	model	NOUN
ejpam-1597	106	39	.	.	PUNCT
ejpam-1597	107	1	of	of	ADP
ejpam-1597	107	2	course	course	NOUN
ejpam-1597	107	3	,	,	PUNCT
ejpam-1597	107	4	when	when	SCONJ
ejpam-1597	107	5	performing	perform	VERB
ejpam-1597	107	6	regression	regression	NOUN
ejpam-1597	107	7	analysis	analysis	NOUN
ejpam-1597	107	8	,	,	PUNCT
ejpam-1597	107	9	it	it	PRON
ejpam-1597	107	10	is	be	AUX
ejpam-1597	107	11	not	not	PART
ejpam-1597	107	12	usually	usually	ADV
ejpam-1597	107	13	the	the	DET
ejpam-1597	107	14	case	case	NOUN
ejpam-1597	107	15	that	that	SCONJ
ejpam-1597	107	16	all	all	DET
ejpam-1597	107	17	variables	variable	NOUN
ejpam-1597	107	18	in	in	ADP
ejpam-1597	107	19	x	x	PART
ejpam-1597	107	20	have	have	VERB
ejpam-1597	107	21	significant	significant	ADJ
ejpam-1597	107	22	predictive	predictive	ADJ
ejpam-1597	107	23	power	power	NOUN
ejpam-1597	107	24	over	over	ADP
ejpam-1597	107	25	y	y	PROPN
ejpam-1597	107	26	.	.	PUNCT
ejpam-1597	108	1	choosing	choose	VERB
ejpam-1597	108	2	an	an	DET
ejpam-1597	108	3	optimal	optimal	ADJ
ejpam-1597	108	4	subset	subset	NOUN
ejpam-1597	108	5	model	model	NOUN
ejpam-1597	108	6	has	have	AUX
ejpam-1597	108	7	long	long	ADV
ejpam-1597	108	8	been	be	AUX
ejpam-1597	108	9	a	a	DET
ejpam-1597	108	10	vexing	vexing	ADJ
ejpam-1597	108	11	problem	problem	NOUN
ejpam-1597	108	12	.	.	PUNCT
ejpam-1597	109	1	typical	typical	ADJ
ejpam-1597	109	2	methods	method	NOUN
ejpam-1597	109	3	for	for	ADP
ejpam-1597	109	4	selecting	select	VERB
ejpam-1597	109	5	a	a	DET
ejpam-1597	109	6	subset	subset	NOUN
ejpam-1597	109	7	regression	regression	NOUN
ejpam-1597	109	8	model	model	NOUN
ejpam-1597	109	9	include	include	VERB
ejpam-1597	109	10	:	:	PUNCT
ejpam-1597	109	11	•	•	NUM
ejpam-1597	109	12	forward	forward	ADV
ejpam-1597	109	13	stepwise	stepwise	ADJ
ejpam-1597	109	14	analysis	analysis	NOUN
ejpam-1597	109	15	•	•	ADP
ejpam-1597	109	16	backward	backward	ADJ
ejpam-1597	109	17	stepwise	stepwise	ADJ
ejpam-1597	109	18	analysis	analysis	NOUN
ejpam-1597	109	19	•	•	NOUN
ejpam-1597	109	20	partial	partial	ADJ
ejpam-1597	109	21	sums	sum	NOUN
ejpam-1597	109	22	-	-	PUNCT
ejpam-1597	109	23	of	of	ADP
ejpam-1597	109	24	-	-	PUNCT
ejpam-1597	109	25	squares	square	NOUN
ejpam-1597	109	26	and	and	CCONJ
ejpam-1597	109	27	sequential	sequential	ADJ
ejpam-1597	109	28	f	f	NOUN
ejpam-1597	109	29	-	-	PUNCT
ejpam-1597	109	30	tests	test	VERB
ejpam-1597	109	31	•	•	ADJ
ejpam-1597	109	32	consideration	consideration	NOUN
ejpam-1597	109	33	of	of	ADP
ejpam-1597	109	34	reduced	reduce	VERB
ejpam-1597	109	35	rank	rank	NOUN
ejpam-1597	109	36	regression	regression	NOUN
ejpam-1597	109	37	models	model	NOUN
ejpam-1597	109	38	.	.	PUNCT
ejpam-1597	110	1	in	in	ADP
ejpam-1597	110	2	practice	practice	NOUN
ejpam-1597	110	3	,	,	PUNCT
ejpam-1597	110	4	these	these	DET
ejpam-1597	110	5	methods	method	NOUN
ejpam-1597	110	6	may	may	AUX
ejpam-1597	110	7	not	not	PART
ejpam-1597	110	8	work	work	VERB
ejpam-1597	110	9	well	well	ADV
ejpam-1597	110	10	in	in	ADP
ejpam-1597	110	11	the	the	DET
ejpam-1597	110	12	presence	presence	NOUN
ejpam-1597	110	13	of	of	ADP
ejpam-1597	110	14	multicollinearity	multicollinearity	NOUN
ejpam-1597	110	15	or	or	CCONJ
ejpam-1597	110	16	model	model	NOUN
ejpam-1597	110	17	misspecification	misspecification	NOUN
ejpam-1597	110	18	.	.	PUNCT
ejpam-1597	111	1	additionally	additionally	ADV
ejpam-1597	111	2	,	,	PUNCT
ejpam-1597	111	3	the	the	DET
ejpam-1597	111	4	hypothesis	hypothesis	NOUN
ejpam-1597	111	5	tests	test	VERB
ejpam-1597	111	6	all	all	PRON
ejpam-1597	111	7	require	require	VERB
ejpam-1597	111	8	somewhat	somewhat	ADV
ejpam-1597	111	9	arbitrary	arbitrary	ADJ
ejpam-1597	111	10	selection	selection	NOUN
ejpam-1597	111	11	of	of	ADP
ejpam-1597	111	12	significance	significance	NOUN
ejpam-1597	111	13	levels	level	NOUN
ejpam-1597	111	14	.	.	PUNCT
ejpam-1597	112	1	finally	finally	ADV
ejpam-1597	112	2	,	,	PUNCT
ejpam-1597	112	3	it	it	PRON
ejpam-1597	112	4	seems	seem	VERB
ejpam-1597	112	5	doubtful	doubtful	ADJ
ejpam-1597	112	6	that	that	SCONJ
ejpam-1597	112	7	the	the	DET
ejpam-1597	112	8	stepwise	stepwise	ADJ
ejpam-1597	112	9	methods	method	NOUN
ejpam-1597	112	10	can	can	AUX
ejpam-1597	112	11	accurately	accurately	ADV
ejpam-1597	112	12	control	control	VERB
ejpam-1597	112	13	for	for	ADP
ejpam-1597	112	14	type	type	NOUN
ejpam-1597	112	15	i	i	PRON
ejpam-1597	112	16	errors	error	VERB
ejpam-1597	112	17	across	across	ADP
ejpam-1597	112	18	all	all	DET
ejpam-1597	112	19	tests	test	NOUN
ejpam-1597	112	20	performed	perform	VERB
ejpam-1597	112	21	.	.	PUNCT
ejpam-1597	113	1	one	one	NUM
ejpam-1597	113	2	solution	solution	NOUN
ejpam-1597	113	3	is	be	AUX
ejpam-1597	113	4	to	to	PART
ejpam-1597	113	5	use	use	VERB
ejpam-1597	113	6	some	some	DET
ejpam-1597	113	7	criterion	criterion	NOUN
ejpam-1597	113	8	to	to	PART
ejpam-1597	113	9	perform	perform	VERB
ejpam-1597	113	10	complete	complete	ADJ
ejpam-1597	113	11	enumeration	enumeration	NOUN
ejpam-1597	113	12	of	of	ADP
ejpam-1597	113	13	all	all	DET
ejpam-1597	113	14	possible	possible	ADJ
ejpam-1597	113	15	subsets	subset	NOUN
ejpam-1597	113	16	of	of	ADP
ejpam-1597	113	17	the	the	DET
ejpam-1597	113	18	predictors	predictor	NOUN
ejpam-1597	113	19	.	.	PUNCT
ejpam-1597	114	1	as	as	SCONJ
ejpam-1597	114	2	the	the	DET
ejpam-1597	114	3	number	number	NOUN
ejpam-1597	114	4	of	of	ADP
ejpam-1597	114	5	predictors	predictor	NOUN
ejpam-1597	114	6	,	,	PUNCT
ejpam-1597	114	7	q	q	INTJ
ejpam-1597	114	8	,	,	PUNCT
ejpam-1597	114	9	grows	grow	VERB
ejpam-1597	114	10	,	,	PUNCT
ejpam-1597	114	11	however	however	ADV
ejpam-1597	114	12	,	,	PUNCT
ejpam-1597	114	13	this	this	PRON
ejpam-1597	114	14	quickly	quickly	ADV
ejpam-1597	114	15	becomes	become	VERB
ejpam-1597	114	16	infeasible	infeasible	ADJ
ejpam-1597	114	17	.	.	PUNCT
ejpam-1597	115	1	for	for	ADP
ejpam-1597	115	2	example	example	NOUN
ejpam-1597	115	3	,	,	PUNCT
ejpam-1597	115	4	consider	consider	VERB
ejpam-1597	115	5	a	a	DET
ejpam-1597	115	6	simple	simple	ADJ
ejpam-1597	115	7	case	case	NOUN
ejpam-1597	115	8	of	of	ADP
ejpam-1597	115	9	multiple	multiple	ADJ
ejpam-1597	115	10	regression	regression	NOUN
ejpam-1597	115	11	with	with	ADP
ejpam-1597	115	12	k	k	PROPN
ejpam-1597	115	13	=	=	SYM
ejpam-1597	115	14	9	9	NUM
ejpam-1597	115	15	predictors	predictor	NOUN
ejpam-1597	115	16	and	and	CCONJ
ejpam-1597	115	17	the	the	DET
ejpam-1597	115	18	constant	constant	ADJ
ejpam-1597	115	19	term	term	NOUN
ejpam-1597	115	20	,	,	PUNCT
ejpam-1597	115	21	so	so	SCONJ
ejpam-1597	115	22	that	that	SCONJ
ejpam-1597	115	23	h.	h.	PROPN
ejpam-1597	115	24	bozdogan	bozdogan	PROPN
ejpam-1597	115	25	,	,	PUNCT
ejpam-1597	115	26	j.	j.	PROPN
ejpam-1597	115	27	howe	howe	PROPN
ejpam-1597	115	28	/	/	SYM
ejpam-1597	115	29	eur	eur	PROPN
ejpam-1597	115	30	.	.	PUNCT
ejpam-1597	116	1	j.	j.	PROPN
ejpam-1597	116	2	pure	pure	PROPN
ejpam-1597	116	3	appl	appl	PROPN
ejpam-1597	116	4	.	.	PROPN
ejpam-1597	116	5	math	math	PROPN
ejpam-1597	116	6	,	,	PUNCT
ejpam-1597	116	7	5	5	NUM
ejpam-1597	116	8	(	(	PUNCT
ejpam-1597	116	9	2012	2012	NUM
ejpam-1597	116	10	)	)	PUNCT
ejpam-1597	116	11	,	,	PUNCT
ejpam-1597	116	12	211	211	NUM
ejpam-1597	116	13	-	-	SYM
ejpam-1597	116	14	249	249	NUM
ejpam-1597	116	15	217	217	NUM
ejpam-1597	116	16	q	q	NOUN
ejpam-1597	116	17	=	=	NOUN
ejpam-1597	116	18	10	10	NUM
ejpam-1597	116	19	.	.	PUNCT
ejpam-1597	117	1	there	there	PRON
ejpam-1597	117	2	are	be	VERB
ejpam-1597	117	3	210	210	NUM
ejpam-1597	117	4	−	−	NOUN
ejpam-1597	117	5	1	1	NUM
ejpam-1597	117	6	=	=	SYM
ejpam-1597	117	7	1023	1023	NUM
ejpam-1597	117	8	possible	possible	ADJ
ejpam-1597	117	9	nontrivial	nontrivial	ADJ
ejpam-1597	117	10	subsets	subset	NOUN
ejpam-1597	117	11	of	of	ADP
ejpam-1597	117	12	the	the	DET
ejpam-1597	117	13	predictors	predictor	NOUN
ejpam-1597	117	14	.	.	PUNCT
ejpam-1597	118	1	this	this	PRON
ejpam-1597	118	2	is	be	AUX
ejpam-1597	118	3	clearly	clearly	ADV
ejpam-1597	118	4	too	too	ADV
ejpam-1597	118	5	many	many	ADJ
ejpam-1597	118	6	models	model	NOUN
ejpam-1597	118	7	to	to	PART
ejpam-1597	118	8	humanly	humanly	ADV
ejpam-1597	118	9	consider	consider	VERB
ejpam-1597	118	10	,	,	PUNCT
ejpam-1597	118	11	and	and	CCONJ
ejpam-1597	118	12	yet	yet	ADV
ejpam-1597	118	13	this	this	PRON
ejpam-1597	118	14	is	be	AUX
ejpam-1597	118	15	a	a	DET
ejpam-1597	118	16	relatively	relatively	ADV
ejpam-1597	118	17	small	small	ADJ
ejpam-1597	118	18	problem	problem	NOUN
ejpam-1597	118	19	.	.	PUNCT
ejpam-1597	119	1	consider	consider	VERB
ejpam-1597	119	2	a	a	DET
ejpam-1597	119	3	dataset	dataset	NOUN
ejpam-1597	119	4	we	we	PRON
ejpam-1597	119	5	have	have	VERB
ejpam-1597	119	6	from	from	ADP
ejpam-1597	119	7	a	a	DET
ejpam-1597	119	8	large	large	ADJ
ejpam-1597	119	9	fractional	fractional	ADJ
ejpam-1597	119	10	factorial	factorial	ADJ
ejpam-1597	119	11	experiment	experiment	NOUN
ejpam-1597	119	12	with	with	ADP
ejpam-1597	119	13	q	q	NOUN
ejpam-1597	119	14	=	=	SYM
ejpam-1597	119	15	56	56	NUM
ejpam-1597	119	16	;	;	PUNCT
ejpam-1597	119	17	there	there	PRON
ejpam-1597	119	18	are	be	VERB
ejpam-1597	119	19	256	256	NUM
ejpam-1597	119	20	−	−	NUM
ejpam-1597	119	21	1	1	NUM
ejpam-1597	119	22	=	=	SYM
ejpam-1597	119	23	72,057,594,037,927,936	72,057,594,037,927,936	NUM
ejpam-1597	119	24	possible	possible	ADJ
ejpam-1597	119	25	subset	subset	NOUN
ejpam-1597	119	26	models	model	NOUN
ejpam-1597	119	27	.	.	PUNCT
ejpam-1597	120	1	this	this	PRON
ejpam-1597	120	2	is	be	AUX
ejpam-1597	120	3	far	far	ADV
ejpam-1597	120	4	too	too	ADV
ejpam-1597	120	5	many	many	ADJ
ejpam-1597	120	6	for	for	ADP
ejpam-1597	120	7	even	even	ADV
ejpam-1597	120	8	a	a	DET
ejpam-1597	120	9	computer	computer	NOUN
ejpam-1597	120	10	to	to	PART
ejpam-1597	120	11	automatically	automatically	ADV
ejpam-1597	120	12	evaluate	evaluate	VERB
ejpam-1597	120	13	in	in	ADP
ejpam-1597	120	14	a	a	DET
ejpam-1597	120	15	timely	timely	ADJ
ejpam-1597	120	16	manner	manner	NOUN
ejpam-1597	120	17	.	.	PUNCT
ejpam-1597	121	1	little	little	ADJ
ejpam-1597	121	2	headway	headway	NOUN
ejpam-1597	121	3	has	have	AUX
ejpam-1597	121	4	been	be	AUX
ejpam-1597	121	5	made	make	VERB
ejpam-1597	121	6	in	in	ADP
ejpam-1597	121	7	finding	find	VERB
ejpam-1597	121	8	the	the	DET
ejpam-1597	121	9	best	good	ADJ
ejpam-1597	121	10	subset	subset	VERB
ejpam-1597	121	11	mvr	mvr	PROPN
ejpam-1597	121	12	model	model	NOUN
ejpam-1597	121	13	from	from	ADP
ejpam-1597	121	14	a	a	DET
ejpam-1597	121	15	global	global	ADJ
ejpam-1597	121	16	perspective	perspective	NOUN
ejpam-1597	121	17	.	.	PUNCT
ejpam-1597	122	1	in	in	ADP
ejpam-1597	122	2	our	our	PRON
ejpam-1597	122	3	results	result	NOUN
ejpam-1597	122	4	,	,	PUNCT
ejpam-1597	122	5	we	we	PRON
ejpam-1597	122	6	demonstrate	demonstrate	VERB
ejpam-1597	122	7	the	the	DET
ejpam-1597	122	8	value	value	NOUN
ejpam-1597	122	9	of	of	ADP
ejpam-1597	122	10	the	the	DET
ejpam-1597	122	11	genetic	genetic	ADJ
ejpam-1597	122	12	algorithm	algorithm	NOUN
ejpam-1597	122	13	(	(	PUNCT
ejpam-1597	122	14	section	section	NOUN
ejpam-1597	122	15	5	5	NUM
ejpam-1597	122	16	)	)	PUNCT
ejpam-1597	122	17	,	,	PUNCT
ejpam-1597	122	18	driven	drive	VERB
ejpam-1597	122	19	by	by	ADP
ejpam-1597	122	20	information	information	NOUN
ejpam-1597	122	21	criteria	criterion	NOUN
ejpam-1597	122	22	as	as	ADP
ejpam-1597	122	23	a	a	DET
ejpam-1597	122	24	fitness	fitness	NOUN
ejpam-1597	122	25	function	function	NOUN
ejpam-1597	122	26	.	.	PUNCT
ejpam-1597	123	1	we	we	PRON
ejpam-1597	123	2	substitute	substitute	VERB
ejpam-1597	123	3	the	the	DET
ejpam-1597	123	4	ga	ga	PROPN
ejpam-1597	123	5	as	as	ADP
ejpam-1597	123	6	a	a	DET
ejpam-1597	123	7	computationally	computationally	ADV
ejpam-1597	123	8	feasible	feasible	ADJ
ejpam-1597	123	9	and	and	CCONJ
ejpam-1597	123	10	efficient	efficient	ADJ
ejpam-1597	123	11	approach	approach	NOUN
ejpam-1597	123	12	for	for	ADP
ejpam-1597	123	13	complete	complete	ADJ
ejpam-1597	123	14	combinatorial	combinatorial	ADJ
ejpam-1597	123	15	subset	subset	NOUN
ejpam-1597	123	16	analysis	analysis	NOUN
ejpam-1597	123	17	.	.	PUNCT
ejpam-1597	124	1	for	for	ADP
ejpam-1597	124	2	the	the	DET
ejpam-1597	124	3	subset	subset	NOUN
ejpam-1597	124	4	regression	regression	NOUN
ejpam-1597	124	5	model	model	NOUN
ejpam-1597	124	6	,	,	PUNCT
ejpam-1597	124	7	we	we	PRON
ejpam-1597	124	8	use	use	VERB
ejpam-1597	124	9	the	the	DET
ejpam-1597	124	10	notation	notation	NOUN
ejpam-1597	124	11	x	x	PUNCT
ejpam-1597	124	12	∗	∗	NOUN
ejpam-1597	124	13	∈	∈	PROPN
ejpam-1597	124	14	rn×q∗	rn×q∗	PROPN
ejpam-1597	124	15	,	,	PUNCT
ejpam-1597	124	16	where	where	SCONJ
ejpam-1597	124	17	q∗	q∗	NOUN
ejpam-1597	124	18	is	be	AUX
ejpam-1597	124	19	the	the	DET
ejpam-1597	124	20	number	number	NOUN
ejpam-1597	124	21	of	of	ADP
ejpam-1597	124	22	variables	variable	NOUN
ejpam-1597	124	23	not	not	PART
ejpam-1597	124	24	excluded	exclude	VERB
ejpam-1597	124	25	from	from	ADP
ejpam-1597	124	26	the	the	DET
ejpam-1597	124	27	model	model	NOUN
ejpam-1597	124	28	,	,	PUNCT
ejpam-1597	124	29	such	such	ADJ
ejpam-1597	124	30	that	that	DET
ejpam-1597	124	31	q∗	q∗	PROPN
ejpam-1597	124	32	∈	∈	PROPN
ejpam-1597	124	33	�	�	PROPN
ejpam-1597	124	34	1,q	1,q	NUM
ejpam-1597	124	35	�	�	NOUN
ejpam-1597	124	36	.	.	PUNCT
ejpam-1597	125	1	3	3	X
ejpam-1597	125	2	.	.	X
ejpam-1597	125	3	icom	icom	PROPN
ejpam-1597	125	4	p	p	X
ejpam-1597	125	5	:	:	PUNCT
ejpam-1597	125	6	a	a	DET
ejpam-1597	125	7	new	new	ADJ
ejpam-1597	125	8	information	information	NOUN
ejpam-1597	125	9	measure	measure	NOUN
ejpam-1597	125	10	of	of	ADP
ejpam-1597	125	11	complexity	complexity	NOUN
ejpam-1597	125	12	for	for	ADP
ejpam-1597	125	13	model	model	NOUN
ejpam-1597	125	14	selection	selection	NOUN
ejpam-1597	125	15	perhaps	perhaps	ADV
ejpam-1597	125	16	the	the	DET
ejpam-1597	125	17	most	most	ADV
ejpam-1597	125	18	basic	basic	ADJ
ejpam-1597	125	19	information	information	NOUN
ejpam-1597	125	20	criteria	criterion	NOUN
ejpam-1597	125	21	is	be	AUX
ejpam-1597	125	22	the	the	DET
ejpam-1597	125	23	kullback	kullback	NOUN
ejpam-1597	125	24	-	-	PUNCT
ejpam-1597	125	25	liebler	liebler	NOUN
ejpam-1597	125	26	divergence	divergence	NOUN
ejpam-1597	125	27	(	(	PUNCT
ejpam-1597	125	28	kl	kl	NOUN
ejpam-1597	125	29	)	)	PUNCT
ejpam-1597	125	30	,	,	PUNCT
ejpam-1597	125	31	first	first	ADV
ejpam-1597	125	32	introduced	introduce	VERB
ejpam-1597	125	33	by	by	ADP
ejpam-1597	125	34	[	[	X
ejpam-1597	125	35	24	24	NUM
ejpam-1597	125	36	]	]	PUNCT
ejpam-1597	125	37	(	(	PUNCT
ejpam-1597	125	38	also	also	ADV
ejpam-1597	125	39	called	call	VERB
ejpam-1597	125	40	kl	kl	PROPN
ejpam-1597	125	41	distance	distance	NOUN
ejpam-1597	125	42	,	,	PUNCT
ejpam-1597	125	43	or	or	CCONJ
ejpam-1597	125	44	kl	kl	NOUN
ejpam-1597	125	45	information	information	NOUN
ejpam-1597	125	46	)	)	PUNCT
ejpam-1597	125	47	.	.	PUNCT
ejpam-1597	126	1	this	this	DET
ejpam-1597	126	2	information	information	NOUN
ejpam-1597	126	3	divergence	divergence	NOUN
ejpam-1597	126	4	measures	measure	NOUN
ejpam-1597	126	5	the	the	DET
ejpam-1597	126	6	difference	difference	NOUN
ejpam-1597	126	7	between	between	ADP
ejpam-1597	126	8	two	two	NUM
ejpam-1597	126	9	probability	probability	NOUN
ejpam-1597	126	10	distributions	distribution	NOUN
ejpam-1597	126	11	.	.	PUNCT
ejpam-1597	127	1	if	if	SCONJ
ejpam-1597	127	2	we	we	PRON
ejpam-1597	127	3	have	have	VERB
ejpam-1597	127	4	some	some	DET
ejpam-1597	127	5	data	datum	NOUN
ejpam-1597	127	6	for	for	ADP
ejpam-1597	127	7	which	which	PRON
ejpam-1597	127	8	we	we	PRON
ejpam-1597	127	9	know	know	VERB
ejpam-1597	127	10	the	the	DET
ejpam-1597	127	11	true	true	ADJ
ejpam-1597	127	12	distribution	distribution	NOUN
ejpam-1597	127	13	f	f	NOUN
ejpam-1597	127	14	,	,	PUNCT
ejpam-1597	127	15	we	we	PRON
ejpam-1597	127	16	can	can	AUX
ejpam-1597	127	17	use	use	VERB
ejpam-1597	127	18	the	the	DET
ejpam-1597	127	19	kl	kl	PROPN
ejpam-1597	127	20	divergence	divergence	NOUN
ejpam-1597	127	21	to	to	PART
ejpam-1597	127	22	determine	determine	VERB
ejpam-1597	127	23	whether	whether	SCONJ
ejpam-1597	127	24	f1	f1	NOUN
ejpam-1597	127	25	or	or	CCONJ
ejpam-1597	127	26	f2	f2	PRON
ejpam-1597	127	27	more	more	ADV
ejpam-1597	127	28	accurately	accurately	ADV
ejpam-1597	127	29	represents	represent	VERB
ejpam-1597	127	30	the	the	DET
ejpam-1597	127	31	true	true	ADJ
ejpam-1597	127	32	data	data	NOUN
ejpam-1597	127	33	generating	generating	NOUN
ejpam-1597	127	34	process	process	NOUN
ejpam-1597	127	35	(	(	PUNCT
ejpam-1597	127	36	dgp	dgp	NOUN
ejpam-1597	127	37	)	)	PUNCT
ejpam-1597	127	38	.	.	PUNCT
ejpam-1597	128	1	f1	f1	NOUN
ejpam-1597	128	2	and	and	CCONJ
ejpam-1597	128	3	f2	f2	PROPN
ejpam-1597	128	4	could	could	AUX
ejpam-1597	128	5	be	be	AUX
ejpam-1597	128	6	different	different	ADJ
ejpam-1597	128	7	distributions	distribution	NOUN
ejpam-1597	128	8	,	,	PUNCT
ejpam-1597	128	9	or	or	CCONJ
ejpam-1597	128	10	the	the	DET
ejpam-1597	128	11	same	same	ADJ
ejpam-1597	128	12	distribution	distribution	NOUN
ejpam-1597	128	13	as	as	ADP
ejpam-1597	128	14	f	f	PROPN
ejpam-1597	128	15	with	with	ADP
ejpam-1597	128	16	different	different	ADJ
ejpam-1597	128	17	parameters	parameter	NOUN
ejpam-1597	128	18	.	.	PUNCT
ejpam-1597	129	1	when	when	SCONJ
ejpam-1597	129	2	a	a	DET
ejpam-1597	129	3	true	true	ADJ
ejpam-1597	129	4	model	model	NOUN
ejpam-1597	129	5	is	be	AUX
ejpam-1597	129	6	known	know	VERB
ejpam-1597	129	7	,	,	PUNCT
ejpam-1597	129	8	as	as	ADP
ejpam-1597	129	9	in	in	ADP
ejpam-1597	129	10	simulation	simulation	NOUN
ejpam-1597	129	11	studies	study	NOUN
ejpam-1597	129	12	,	,	PUNCT
ejpam-1597	129	13	we	we	PRON
ejpam-1597	129	14	can	can	AUX
ejpam-1597	129	15	compute	compute	VERB
ejpam-1597	129	16	the	the	DET
ejpam-1597	129	17	kl	kl	PROPN
ejpam-1597	129	18	divergence	divergence	NOUN
ejpam-1597	129	19	for	for	ADP
ejpam-1597	129	20	all	all	DET
ejpam-1597	129	21	competing	compete	VERB
ejpam-1597	129	22	models	model	NOUN
ejpam-1597	129	23	,	,	PUNCT
ejpam-1597	129	24	with	with	ADP
ejpam-1597	129	25	the	the	DET
ejpam-1597	129	26	assumption	assumption	NOUN
ejpam-1597	129	27	that	that	SCONJ
ejpam-1597	129	28	the	the	DET
ejpam-1597	129	29	distance	distance	NOUN
ejpam-1597	129	30	for	for	ADP
ejpam-1597	129	31	the	the	DET
ejpam-1597	129	32	true	true	ADJ
ejpam-1597	129	33	model	model	NOUN
ejpam-1597	129	34	will	will	AUX
ejpam-1597	129	35	be	be	AUX
ejpam-1597	129	36	the	the	DET
ejpam-1597	129	37	closest	close	ADJ
ejpam-1597	129	38	to	to	ADP
ejpam-1597	129	39	0	0	NUM
ejpam-1597	129	40	.	.	PROPN
ejpam-1597	130	1	3.1	3.1	NUM
ejpam-1597	130	2	.	.	PUNCT
ejpam-1597	131	1	icom	icom	PROPN
ejpam-1597	131	2	p	p	PROPN
ejpam-1597	131	3	for	for	ADP
ejpam-1597	131	4	correctly	correctly	ADV
ejpam-1597	131	5	specified	specify	VERB
ejpam-1597	131	6	models	model	NOUN
ejpam-1597	131	7	assuming	assume	VERB
ejpam-1597	131	8	that	that	SCONJ
ejpam-1597	131	9	the	the	DET
ejpam-1597	131	10	model	model	NOUN
ejpam-1597	131	11	is	be	AUX
ejpam-1597	131	12	correctly	correctly	ADV
ejpam-1597	131	13	specified	specify	VERB
ejpam-1597	131	14	,	,	PUNCT
ejpam-1597	131	15	or	or	CCONJ
ejpam-1597	131	16	the	the	DET
ejpam-1597	131	17	true	true	ADJ
ejpam-1597	131	18	model	model	NOUN
ejpam-1597	131	19	is	be	AUX
ejpam-1597	131	20	in	in	ADP
ejpam-1597	131	21	the	the	DET
ejpam-1597	131	22	model	model	NOUN
ejpam-1597	131	23	set	set	VERB
ejpam-1597	131	24	considered	consider	VERB
ejpam-1597	131	25	,	,	PUNCT
ejpam-1597	131	26	akaike	akaike	ADP
ejpam-1597	131	27	[	[	X
ejpam-1597	131	28	1	1	X
ejpam-1597	131	29	]	]	PUNCT
ejpam-1597	131	30	introduced	introduce	VERB
ejpam-1597	131	31	his	his	PRON
ejpam-1597	131	32	well	well	ADV
ejpam-1597	131	33	-	-	PUNCT
ejpam-1597	131	34	known	know	VERB
ejpam-1597	131	35	akaike	akaike	NOUN
ejpam-1597	131	36	’s	’s	PART
ejpam-1597	131	37	information	information	NOUN
ejpam-1597	131	38	criteria	criterion	NOUN
ejpam-1597	131	39	(	(	PUNCT
ejpam-1597	131	40	aic	aic	PROPN
ejpam-1597	131	41	)	)	PUNCT
ejpam-1597	131	42	.	.	PUNCT
ejpam-1597	132	1	acknowledging	acknowledge	VERB
ejpam-1597	132	2	the	the	DET
ejpam-1597	132	3	fact	fact	NOUN
ejpam-1597	132	4	that	that	SCONJ
ejpam-1597	132	5	any	any	DET
ejpam-1597	132	6	statistical	statistical	ADJ
ejpam-1597	132	7	model	model	NOUN
ejpam-1597	132	8	is	be	AUX
ejpam-1597	132	9	merely	merely	ADV
ejpam-1597	132	10	an	an	DET
ejpam-1597	132	11	approximate	approximate	ADJ
ejpam-1597	132	12	representation	representation	NOUN
ejpam-1597	132	13	of	of	ADP
ejpam-1597	132	14	the	the	DET
ejpam-1597	132	15	true	true	ADJ
ejpam-1597	132	16	dgp	dgp	NOUN
ejpam-1597	132	17	,	,	PUNCT
ejpam-1597	132	18	information	information	NOUN
ejpam-1597	132	19	criteria	criterion	NOUN
ejpam-1597	132	20	attempt	attempt	VERB
ejpam-1597	132	21	to	to	PART
ejpam-1597	132	22	guide	guide	VERB
ejpam-1597	132	23	model	model	NOUN
ejpam-1597	132	24	selection	selection	NOUN
ejpam-1597	132	25	according	accord	VERB
ejpam-1597	132	26	to	to	ADP
ejpam-1597	132	27	occam	occam	PROPN
ejpam-1597	132	28	’s	’s	PART
ejpam-1597	132	29	razor	razor	NOUN
ejpam-1597	132	30	.	.	PUNCT
ejpam-1597	133	1	one	one	NUM
ejpam-1597	133	2	restatement	restatement	NOUN
ejpam-1597	133	3	of	of	ADP
ejpam-1597	133	4	occam	occam	PROPN
ejpam-1597	133	5	’s	’s	PART
ejpam-1597	133	6	razor	razor	NOUN
ejpam-1597	133	7	is	be	AUX
ejpam-1597	133	8	:	:	PUNCT
ejpam-1597	133	9	“	"	PUNCT
ejpam-1597	133	10	of	of	ADP
ejpam-1597	133	11	all	all	DET
ejpam-1597	133	12	possible	possible	ADJ
ejpam-1597	133	13	solutions	solution	NOUN
ejpam-1597	133	14	to	to	ADP
ejpam-1597	133	15	a	a	DET
ejpam-1597	133	16	problem	problem	NOUN
ejpam-1597	133	17	,	,	PUNCT
ejpam-1597	133	18	the	the	DET
ejpam-1597	133	19	simplest	simple	ADJ
ejpam-1597	133	20	solution	solution	NOUN
ejpam-1597	133	21	is	be	AUX
ejpam-1597	133	22	probably	probably	ADV
ejpam-1597	133	23	the	the	DET
ejpam-1597	133	24	best	good	ADJ
ejpam-1597	133	25	,	,	PUNCT
ejpam-1597	133	26	ceteris	ceteris	NOUN
ejpam-1597	133	27	paribus	paribus	NOUN
ejpam-1597	133	28	”	"	PUNCT
ejpam-1597	133	29	.	.	PUNCT
ejpam-1597	134	1	this	this	DET
ejpam-1597	134	2	principle	principle	NOUN
ejpam-1597	134	3	of	of	ADP
ejpam-1597	134	4	parsimony	parsimony	NOUN
ejpam-1597	134	5	requires	require	VERB
ejpam-1597	134	6	that	that	SCONJ
ejpam-1597	134	7	as	as	ADP
ejpam-1597	134	8	model	model	NOUN
ejpam-1597	134	9	complexity	complexity	NOUN
ejpam-1597	134	10	increases	increase	NOUN
ejpam-1597	134	11	,	,	PUNCT
ejpam-1597	134	12	the	the	DET
ejpam-1597	134	13	fit	fit	NOUN
ejpam-1597	134	14	of	of	ADP
ejpam-1597	134	15	the	the	DET
ejpam-1597	134	16	model	model	NOUN
ejpam-1597	134	17	must	must	AUX
ejpam-1597	134	18	increase	increase	VERB
ejpam-1597	134	19	at	at	ADV
ejpam-1597	134	20	least	least	ADJ
ejpam-1597	134	21	as	as	ADV
ejpam-1597	134	22	much	much	ADJ
ejpam-1597	134	23	;	;	PUNCT
ejpam-1597	134	24	otherwise	otherwise	ADV
ejpam-1597	134	25	,	,	PUNCT
ejpam-1597	134	26	the	the	DET
ejpam-1597	134	27	additional	additional	ADJ
ejpam-1597	134	28	complexity	complexity	NOUN
ejpam-1597	134	29	is	be	AUX
ejpam-1597	134	30	not	not	PART
ejpam-1597	134	31	worth	worth	ADJ
ejpam-1597	134	32	the	the	DET
ejpam-1597	134	33	cost	cost	NOUN
ejpam-1597	134	34	.	.	PUNCT
ejpam-1597	135	1	virtually	virtually	ADV
ejpam-1597	135	2	all	all	DET
ejpam-1597	135	3	information	information	NOUN
ejpam-1597	135	4	criteria	criterion	NOUN
ejpam-1597	135	5	penalize	penalize	VERB
ejpam-1597	135	6	a	a	DET
ejpam-1597	135	7	bad	bad	ADJ
ejpam-1597	135	8	fitting	fitting	ADJ
ejpam-1597	135	9	model	model	NOUN
ejpam-1597	135	10	with	with	ADP
ejpam-1597	135	11	negative	negative	ADJ
ejpam-1597	135	12	twice	twice	DET
ejpam-1597	135	13	the	the	DET
ejpam-1597	135	14	maximized	maximized	ADJ
ejpam-1597	135	15	log	log	NOUN
ejpam-1597	135	16	likelihood	likelihood	NOUN
ejpam-1597	135	17	,	,	PUNCT
ejpam-1597	135	18	as	as	ADP
ejpam-1597	135	19	an	an	DET
ejpam-1597	135	20	asymptotic	asymptotic	ADJ
ejpam-1597	135	21	estimate	estimate	NOUN
ejpam-1597	135	22	of	of	ADP
ejpam-1597	135	23	the	the	DET
ejpam-1597	135	24	kl	kl	PROPN
ejpam-1597	135	25	information	information	NOUN
ejpam-1597	135	26	.	.	PUNCT
ejpam-1597	136	1	the	the	DET
ejpam-1597	136	2	difference	difference	NOUN
ejpam-1597	136	3	,	,	PUNCT
ejpam-1597	136	4	then	then	ADV
ejpam-1597	136	5	,	,	PUNCT
ejpam-1597	136	6	is	be	AUX
ejpam-1597	136	7	in	in	ADP
ejpam-1597	136	8	the	the	DET
ejpam-1597	136	9	penalty	penalty	NOUN
ejpam-1597	136	10	for	for	ADP
ejpam-1597	136	11	model	model	NOUN
ejpam-1597	136	12	complexity	complexity	NOUN
ejpam-1597	136	13	.	.	PUNCT
ejpam-1597	137	1	the	the	DET
ejpam-1597	137	2	simplest	simple	ADJ
ejpam-1597	137	3	information	information	NOUN
ejpam-1597	137	4	criteria	criterion	NOUN
ejpam-1597	137	5	are	be	AUX
ejpam-1597	137	6	aic	aic	PROPN
ejpam-1597	137	7	and	and	CCONJ
ejpam-1597	137	8	sbc	sbc	PROPN
ejpam-1597	138	1	[	[	X
ejpam-1597	138	2	37	37	NUM
ejpam-1597	138	3	]	]	PUNCT
ejpam-1597	138	4	,	,	PUNCT
ejpam-1597	138	5	shown	show	VERB
ejpam-1597	138	6	below	below	ADV
ejpam-1597	138	7	.	.	PUNCT
ejpam-1597	139	1	aic	aic	PROPN
ejpam-1597	139	2	=	=	PROPN
ejpam-1597	139	3	−2	−2	PROPN
ejpam-1597	139	4	log	log	NOUN
ejpam-1597	139	5	l(θ̂	l(θ̂	PROPN
ejpam-1597	139	6	|	|	CCONJ
ejpam-1597	139	7	y	y	NOUN
ejpam-1597	139	8	)	)	PUNCT
ejpam-1597	140	1	+	+	CCONJ
ejpam-1597	140	2	2	2	NUM
ejpam-1597	140	3	m	m	NOUN
ejpam-1597	140	4	(	(	PUNCT
ejpam-1597	140	5	12	12	NUM
ejpam-1597	140	6	)	)	PUNCT
ejpam-1597	140	7	sbc	sbc	NOUN
ejpam-1597	140	8	=	=	PUNCT
ejpam-1597	140	9	−2	−2	NOUN
ejpam-1597	140	10	log	log	NOUN
ejpam-1597	140	11	l(θ̂	l(θ̂	PROPN
ejpam-1597	140	12	|	|	CCONJ
ejpam-1597	140	13	y	y	NOUN
ejpam-1597	140	14	)	)	PUNCT
ejpam-1597	141	1	+	+	CCONJ
ejpam-1597	141	2	log(n)m	log(n)m	ADJ
ejpam-1597	141	3	(	(	PUNCT
ejpam-1597	141	4	13	13	NUM
ejpam-1597	141	5	)	)	PUNCT
ejpam-1597	141	6	h.	h.	NOUN
ejpam-1597	141	7	bozdogan	bozdogan	PROPN
ejpam-1597	141	8	,	,	PUNCT
ejpam-1597	141	9	j.	j.	PROPN
ejpam-1597	141	10	howe	howe	PROPN
ejpam-1597	141	11	/	/	SYM
ejpam-1597	141	12	eur	eur	PROPN
ejpam-1597	141	13	.	.	PUNCT
ejpam-1597	142	1	j.	j.	PROPN
ejpam-1597	142	2	pure	pure	PROPN
ejpam-1597	142	3	appl	appl	PROPN
ejpam-1597	142	4	.	.	PROPN
ejpam-1597	142	5	math	math	PROPN
ejpam-1597	142	6	,	,	PUNCT
ejpam-1597	142	7	5	5	NUM
ejpam-1597	142	8	(	(	PUNCT
ejpam-1597	142	9	2012	2012	NUM
ejpam-1597	142	10	)	)	PUNCT
ejpam-1597	142	11	,	,	PUNCT
ejpam-1597	142	12	211	211	NUM
ejpam-1597	142	13	-	-	SYM
ejpam-1597	142	14	249	249	NUM
ejpam-1597	142	15	218	218	NUM
ejpam-1597	142	16	in	in	ADP
ejpam-1597	142	17	both	both	DET
ejpam-1597	142	18	cases	case	NOUN
ejpam-1597	142	19	,	,	PUNCT
ejpam-1597	142	20	m	m	VERB
ejpam-1597	142	21	is	be	AUX
ejpam-1597	142	22	the	the	DET
ejpam-1597	142	23	number	number	NOUN
ejpam-1597	142	24	of	of	ADP
ejpam-1597	142	25	parameters	parameter	NOUN
ejpam-1597	142	26	estimated	estimate	VERB
ejpam-1597	142	27	in	in	ADP
ejpam-1597	142	28	the	the	DET
ejpam-1597	142	29	model	model	NOUN
ejpam-1597	142	30	.	.	PUNCT
ejpam-1597	143	1	when	when	SCONJ
ejpam-1597	143	2	using	use	VERB
ejpam-1597	143	3	any	any	DET
ejpam-1597	143	4	information	information	NOUN
ejpam-1597	143	5	criterion	criterion	NOUN
ejpam-1597	143	6	to	to	PART
ejpam-1597	143	7	perform	perform	VERB
ejpam-1597	143	8	model	model	NOUN
ejpam-1597	143	9	selection	selection	NOUN
ejpam-1597	143	10	,	,	PUNCT
ejpam-1597	143	11	we	we	PRON
ejpam-1597	143	12	choose	choose	VERB
ejpam-1597	143	13	the	the	DET
ejpam-1597	143	14	model	model	NOUN
ejpam-1597	143	15	corresponding	correspond	VERB
ejpam-1597	143	16	to	to	ADP
ejpam-1597	143	17	the	the	DET
ejpam-1597	143	18	lowest	low	ADJ
ejpam-1597	143	19	score	score	NOUN
ejpam-1597	143	20	as	as	ADP
ejpam-1597	143	21	providing	provide	VERB
ejpam-1597	143	22	the	the	DET
ejpam-1597	143	23	best	good	ADJ
ejpam-1597	143	24	balance	balance	NOUN
ejpam-1597	143	25	between	between	ADP
ejpam-1597	143	26	good	good	ADJ
ejpam-1597	143	27	fit	fit	NOUN
ejpam-1597	143	28	and	and	CCONJ
ejpam-1597	143	29	parsimony	parsimony	NOUN
ejpam-1597	143	30	.	.	PUNCT
ejpam-1597	144	1	it	it	PRON
ejpam-1597	144	2	can	can	AUX
ejpam-1597	144	3	sometimes	sometimes	ADV
ejpam-1597	144	4	be	be	AUX
ejpam-1597	144	5	difficult	difficult	ADJ
ejpam-1597	144	6	to	to	PART
ejpam-1597	144	7	attach	attach	VERB
ejpam-1597	144	8	significance	significance	NOUN
ejpam-1597	144	9	(	(	PUNCT
ejpam-1597	144	10	not	not	PART
ejpam-1597	144	11	statistically	statistically	ADV
ejpam-1597	144	12	)	)	PUNCT
ejpam-1597	144	13	to	to	ADP
ejpam-1597	144	14	differences	difference	NOUN
ejpam-1597	144	15	in	in	ADP
ejpam-1597	144	16	information	information	NOUN
ejpam-1597	144	17	criteria	criterion	NOUN
ejpam-1597	144	18	scores	score	NOUN
ejpam-1597	144	19	when	when	SCONJ
ejpam-1597	144	20	attempting	attempt	VERB
ejpam-1597	144	21	to	to	PART
ejpam-1597	144	22	select	select	VERB
ejpam-1597	144	23	a	a	DET
ejpam-1597	144	24	most	most	ADV
ejpam-1597	144	25	appropriate	appropriate	ADJ
ejpam-1597	144	26	model	model	NOUN
ejpam-1597	144	27	.	.	PUNCT
ejpam-1597	145	1	to	to	PART
ejpam-1597	145	2	resolve	resolve	VERB
ejpam-1597	145	3	this	this	PRON
ejpam-1597	145	4	,	,	PUNCT
ejpam-1597	145	5	we	we	PRON
ejpam-1597	145	6	may	may	AUX
ejpam-1597	145	7	compute	compute	VERB
ejpam-1597	145	8	relative	relative	ADJ
ejpam-1597	145	9	weights	weight	NOUN
ejpam-1597	145	10	which	which	PRON
ejpam-1597	145	11	can	can	AUX
ejpam-1597	145	12	be	be	AUX
ejpam-1597	145	13	interpreted	interpret	VERB
ejpam-1597	145	14	as	as	ADP
ejpam-1597	145	15	the	the	DET
ejpam-1597	145	16	probability	probability	NOUN
ejpam-1597	145	17	that	that	SCONJ
ejpam-1597	145	18	a	a	DET
ejpam-1597	145	19	given	give	VERB
ejpam-1597	145	20	model	model	NOUN
ejpam-1597	145	21	is	be	AUX
ejpam-1597	145	22	the	the	DET
ejpam-1597	145	23	most	most	ADV
ejpam-1597	145	24	appropriate	appropriate	ADJ
ejpam-1597	145	25	.	.	PUNCT
ejpam-1597	146	1	the	the	DET
ejpam-1597	146	2	weights	weight	NOUN
ejpam-1597	146	3	are	be	AUX
ejpam-1597	146	4	computed	compute	VERB
ejpam-1597	146	5	as	as	ADP
ejpam-1597	146	6	in	in	ADP
ejpam-1597	146	7	(	(	PUNCT
ejpam-1597	146	8	14	14	NUM
ejpam-1597	146	9	)	)	PUNCT
ejpam-1597	146	10	,	,	PUNCT
ejpam-1597	146	11	wi	wi	PROPN
ejpam-1597	146	12	=	=	PUNCT
ejpam-1597	147	1	e−	e−	X
ejpam-1597	147	2	ici−min(ic	ici−min(ic	PROPN
ejpam-1597	147	3	)	)	PUNCT
ejpam-1597	147	4	2	2	NUM
ejpam-1597	147	5	∑l	∑l	PROPN
ejpam-1597	147	6	i=1	i=1	X
ejpam-1597	147	7	e−	e−	X
ejpam-1597	147	8	ici−min(ic	ici−min(ic	PROPN
ejpam-1597	147	9	)	)	PUNCT
ejpam-1597	147	10	2	2	NUM
ejpam-1597	147	11	,	,	PUNCT
ejpam-1597	147	12	(	(	PUNCT
ejpam-1597	147	13	14	14	NUM
ejpam-1597	147	14	)	)	PUNCT
ejpam-1597	147	15	where	where	SCONJ
ejpam-1597	147	16	i	i	PRON
ejpam-1597	147	17	indexes	index	VERB
ejpam-1597	147	18	the	the	DET
ejpam-1597	147	19	l	l	NOUN
ejpam-1597	147	20	models	model	NOUN
ejpam-1597	147	21	evaluated	evaluate	VERB
ejpam-1597	147	22	.	.	PUNCT
ejpam-1597	148	1	in	in	ADP
ejpam-1597	148	2	contrast	contrast	NOUN
ejpam-1597	148	3	to	to	ADP
ejpam-1597	148	4	aic	aic	PROPN
ejpam-1597	148	5	and	and	CCONJ
ejpam-1597	148	6	sbc	sbc	PROPN
ejpam-1597	148	7	,	,	PUNCT
ejpam-1597	148	8	icom	icom	PROPN
ejpam-1597	148	9	p	p	X
ejpam-1597	148	10	,	,	PUNCT
ejpam-1597	148	11	originally	originally	ADV
ejpam-1597	148	12	introduced	introduce	VERB
ejpam-1597	148	13	by	by	ADP
ejpam-1597	148	14	[	[	X
ejpam-1597	148	15	4	4	NUM
ejpam-1597	148	16	]	]	PUNCT
ejpam-1597	148	17	,	,	PUNCT
ejpam-1597	148	18	is	be	AUX
ejpam-1597	148	19	a	a	DET
ejpam-1597	148	20	logical	logical	ADJ
ejpam-1597	148	21	extension	extension	NOUN
ejpam-1597	148	22	of	of	ADP
ejpam-1597	148	23	aic	aic	PROPN
ejpam-1597	148	24	and	and	CCONJ
ejpam-1597	148	25	sbc	sbc	PROPN
ejpam-1597	148	26	which	which	PRON
ejpam-1597	148	27	is	be	AUX
ejpam-1597	148	28	based	base	VERB
ejpam-1597	148	29	on	on	ADP
ejpam-1597	148	30	the	the	DET
ejpam-1597	148	31	structural	structural	ADJ
ejpam-1597	148	32	complexity	complexity	NOUN
ejpam-1597	148	33	of	of	ADP
ejpam-1597	148	34	an	an	DET
ejpam-1597	148	35	element	element	NOUN
ejpam-1597	148	36	or	or	CCONJ
ejpam-1597	148	37	set	set	NOUN
ejpam-1597	148	38	of	of	ADP
ejpam-1597	148	39	random	random	ADJ
ejpam-1597	148	40	vectors	vector	NOUN
ejpam-1597	148	41	via	via	ADP
ejpam-1597	148	42	the	the	DET
ejpam-1597	148	43	generalization	generalization	NOUN
ejpam-1597	148	44	of	of	ADP
ejpam-1597	148	45	the	the	DET
ejpam-1597	148	46	information	information	NOUN
ejpam-1597	148	47	-	-	PUNCT
ejpam-1597	148	48	based	base	VERB
ejpam-1597	148	49	covariance	covariance	NOUN
ejpam-1597	148	50	complexity	complexity	NOUN
ejpam-1597	148	51	index	index	NOUN
ejpam-1597	148	52	of	of	ADP
ejpam-1597	148	53	[	[	X
ejpam-1597	148	54	42	42	NUM
ejpam-1597	148	55	]	]	PUNCT
ejpam-1597	148	56	.	.	PUNCT
ejpam-1597	149	1	in	in	ADP
ejpam-1597	149	2	icom	icom	PROPN
ejpam-1597	149	3	p	p	NOUN
ejpam-1597	149	4	,	,	PUNCT
ejpam-1597	149	5	lack	lack	NOUN
ejpam-1597	149	6	-	-	PUNCT
ejpam-1597	149	7	of	of	ADP
ejpam-1597	149	8	-	-	PUNCT
ejpam-1597	149	9	fit	fit	NOUN
ejpam-1597	149	10	is	be	AUX
ejpam-1597	149	11	still	still	ADV
ejpam-1597	149	12	penalized	penalize	VERB
ejpam-1597	149	13	by	by	ADP
ejpam-1597	149	14	twice	twice	DET
ejpam-1597	149	15	the	the	DET
ejpam-1597	149	16	negative	negative	NOUN
ejpam-1597	149	17	of	of	ADP
ejpam-1597	149	18	the	the	DET
ejpam-1597	149	19	maximized	maximize	VERB
ejpam-1597	149	20	log	log	NOUN
ejpam-1597	149	21	likelihood	likelihood	NOUN
ejpam-1597	149	22	,	,	PUNCT
ejpam-1597	149	23	while	while	SCONJ
ejpam-1597	149	24	a	a	DET
ejpam-1597	149	25	combination	combination	NOUN
ejpam-1597	149	26	of	of	ADP
ejpam-1597	149	27	lack	lack	NOUN
ejpam-1597	149	28	-	-	PUNCT
ejpam-1597	149	29	of	of	ADP
ejpam-1597	149	30	-	-	PUNCT
ejpam-1597	149	31	parsimony	parsimony	NOUN
ejpam-1597	149	32	and	and	CCONJ
ejpam-1597	149	33	profusion	profusion	NOUN
ejpam-1597	149	34	-	-	PUNCT
ejpam-1597	149	35	of	of	ADP
ejpam-1597	149	36	-	-	PUNCT
ejpam-1597	149	37	complexity	complexity	NOUN
ejpam-1597	149	38	are	be	AUX
ejpam-1597	149	39	simultaneously	simultaneously	ADV
ejpam-1597	149	40	penalized	penalize	VERB
ejpam-1597	149	41	by	by	ADP
ejpam-1597	149	42	a	a	DET
ejpam-1597	149	43	scalar	scalar	ADJ
ejpam-1597	149	44	complexity	complexity	NOUN
ejpam-1597	149	45	measure	measure	NOUN
ejpam-1597	149	46	,	,	PUNCT
ejpam-1597	149	47	c	c	NOUN
ejpam-1597	149	48	,	,	PUNCT
ejpam-1597	149	49	of	of	ADP
ejpam-1597	149	50	the	the	DET
ejpam-1597	149	51	model	model	NOUN
ejpam-1597	149	52	covariance	covariance	NOUN
ejpam-1597	149	53	matrix	matrix	NOUN
ejpam-1597	149	54	.	.	PUNCT
ejpam-1597	150	1	in	in	ADP
ejpam-1597	150	2	general	general	ADJ
ejpam-1597	150	3	,	,	PUNCT
ejpam-1597	150	4	icom	icom	PROPN
ejpam-1597	150	5	p	p	PROPN
ejpam-1597	150	6	is	be	AUX
ejpam-1597	150	7	defined	define	VERB
ejpam-1597	150	8	by	by	ADP
ejpam-1597	150	9	icom	icom	PROPN
ejpam-1597	150	10	p	p	PROPN
ejpam-1597	150	11	=	=	NOUN
ejpam-1597	150	12	−2	−2	PROPN
ejpam-1597	150	13	log	log	NOUN
ejpam-1597	150	14	l(θ̂	l(θ̂	PROPN
ejpam-1597	150	15	|	|	CCONJ
ejpam-1597	150	16	y	y	NOUN
ejpam-1597	150	17	)	)	PUNCT
ejpam-1597	151	1	+	+	CCONJ
ejpam-1597	151	2	2c(ôcov(θ̂	2c(ôcov(θ̂	NUM
ejpam-1597	151	3	)	)	PUNCT
ejpam-1597	151	4	)	)	PUNCT
ejpam-1597	151	5	,	,	PUNCT
ejpam-1597	151	6	(	(	PUNCT
ejpam-1597	151	7	15	15	NUM
ejpam-1597	151	8	)	)	PUNCT
ejpam-1597	151	9	where	where	SCONJ
ejpam-1597	151	10	ôcov(θ̂	ôcov(θ̂	NOUN
ejpam-1597	151	11	)	)	PUNCT
ejpam-1597	152	1	indicates	indicate	VERB
ejpam-1597	152	2	the	the	DET
ejpam-1597	152	3	estimated	estimate	VERB
ejpam-1597	152	4	model	model	NOUN
ejpam-1597	152	5	covariance	covariance	NOUN
ejpam-1597	152	6	matrix	matrix	NOUN
ejpam-1597	152	7	.	.	PUNCT
ejpam-1597	153	1	each	each	DET
ejpam-1597	153	2	term	term	NOUN
ejpam-1597	153	3	in	in	ADP
ejpam-1597	153	4	(	(	PUNCT
ejpam-1597	153	5	15	15	NUM
ejpam-1597	153	6	)	)	PUNCT
ejpam-1597	153	7	approximates	approximate	VERB
ejpam-1597	153	8	one	one	NUM
ejpam-1597	153	9	kl	kl	NOUN
ejpam-1597	153	10	distance	distance	NOUN
ejpam-1597	153	11	.	.	PUNCT
ejpam-1597	154	1	there	there	PRON
ejpam-1597	154	2	are	be	VERB
ejpam-1597	154	3	several	several	ADJ
ejpam-1597	154	4	forms	form	NOUN
ejpam-1597	154	5	and	and	CCONJ
ejpam-1597	154	6	justifications	justification	NOUN
ejpam-1597	154	7	of	of	ADP
ejpam-1597	154	8	icom	icom	PROPN
ejpam-1597	154	9	p	p	PROPN
ejpam-1597	154	10	,	,	PUNCT
ejpam-1597	154	11	two	two	NUM
ejpam-1597	154	12	of	of	ADP
ejpam-1597	154	13	which	which	PRON
ejpam-1597	154	14	are	be	AUX
ejpam-1597	154	15	detailed	detail	VERB
ejpam-1597	154	16	here	here	ADV
ejpam-1597	154	17	in	in	ADP
ejpam-1597	154	18	what	what	PRON
ejpam-1597	154	19	follows	follow	VERB
ejpam-1597	154	20	.	.	PUNCT
ejpam-1597	155	1	3.1.1	3.1.1	X
ejpam-1597	155	2	.	.	PUNCT
ejpam-1597	156	1	icom	icom	PROPN
ejpam-1597	156	2	p	p	PROPN
ejpam-1597	156	3	as	as	ADP
ejpam-1597	156	4	an	an	DET
ejpam-1597	156	5	approximation	approximation	NOUN
ejpam-1597	156	6	to	to	ADP
ejpam-1597	156	7	the	the	DET
ejpam-1597	156	8	sum	sum	NOUN
ejpam-1597	156	9	of	of	ADP
ejpam-1597	156	10	two	two	NUM
ejpam-1597	156	11	kl	kl	NOUN
ejpam-1597	156	12	distances	distance	NOUN
ejpam-1597	156	13	for	for	ADP
ejpam-1597	156	14	the	the	DET
ejpam-1597	156	15	following	following	NOUN
ejpam-1597	156	16	,	,	PUNCT
ejpam-1597	156	17	we	we	PRON
ejpam-1597	156	18	need	need	VERB
ejpam-1597	156	19	the	the	DET
ejpam-1597	156	20	first	first	ADJ
ejpam-1597	156	21	order	order	NOUN
ejpam-1597	156	22	maximal	maximal	ADJ
ejpam-1597	156	23	entropic	entropic	ADJ
ejpam-1597	156	24	complexity	complexity	NOUN
ejpam-1597	156	25	of	of	ADP
ejpam-1597	156	26	[	[	X
ejpam-1597	156	27	4	4	X
ejpam-1597	156	28	]	]	PUNCT
ejpam-1597	156	29	as	as	ADP
ejpam-1597	156	30	a	a	DET
ejpam-1597	156	31	generalization	generalization	NOUN
ejpam-1597	156	32	of	of	ADP
ejpam-1597	156	33	the	the	DET
ejpam-1597	156	34	model	model	NOUN
ejpam-1597	156	35	covariance	covariance	NOUN
ejpam-1597	156	36	complexity	complexity	NOUN
ejpam-1597	156	37	of	of	ADP
ejpam-1597	156	38	[	[	X
ejpam-1597	156	39	42	42	NUM
ejpam-1597	156	40	]	]	PUNCT
ejpam-1597	156	41	,	,	PUNCT
ejpam-1597	156	42	given	give	VERB
ejpam-1597	156	43	by	by	ADP
ejpam-1597	156	44	c1(ôcov(θ̂	c1(ôcov(θ̂	NOUN
ejpam-1597	156	45	)	)	PUNCT
ejpam-1597	156	46	)	)	PUNCT
ejpam-1597	157	1	=	=	SYM
ejpam-1597	157	2	s	s	PART
ejpam-1597	157	3	2	2	NUM
ejpam-1597	157	4	log	log	NOUN
ejpam-1597	157	5	tr(ôcov(θ̂	tr(ôcov(θ̂	NOUN
ejpam-1597	157	6	)	)	PUNCT
ejpam-1597	157	7	)	)	PUNCT
ejpam-1597	157	8	s	s	VERB
ejpam-1597	157	9	−	−	PROPN
ejpam-1597	157	10	1	1	NUM
ejpam-1597	157	11	2	2	NUM
ejpam-1597	157	12	log	log	NOUN
ejpam-1597	157	13	|ôcov(θ̂	|ôcov(θ̂	ADJ
ejpam-1597	157	14	)	)	PUNCT
ejpam-1597	157	15	|	|	ADV
ejpam-1597	157	16	,	,	PUNCT
ejpam-1597	157	17	s	s	PART
ejpam-1597	157	18	=	=	NOUN
ejpam-1597	157	19	rank(ôcov(θ̂	rank(ôcov(θ̂	X
ejpam-1597	157	20	)	)	PUNCT
ejpam-1597	157	21	)	)	PUNCT
ejpam-1597	157	22	.	.	PUNCT
ejpam-1597	158	1	(	(	PUNCT
ejpam-1597	158	2	16	16	NUM
ejpam-1597	158	3	)	)	PUNCT
ejpam-1597	158	4	the	the	DET
ejpam-1597	158	5	greatest	great	ADJ
ejpam-1597	158	6	simplicity	simplicity	NOUN
ejpam-1597	158	7	,	,	PUNCT
ejpam-1597	158	8	that	that	PRON
ejpam-1597	158	9	is	be	AUX
ejpam-1597	158	10	zero	zero	NUM
ejpam-1597	158	11	complexity	complexity	NOUN
ejpam-1597	158	12	,	,	PUNCT
ejpam-1597	158	13	is	be	AUX
ejpam-1597	158	14	achieved	achieve	VERB
ejpam-1597	158	15	when	when	SCONJ
ejpam-1597	158	16	the	the	DET
ejpam-1597	158	17	model	model	NOUN
ejpam-1597	158	18	covariance	covariance	NOUN
ejpam-1597	158	19	matrix	matrix	NOUN
ejpam-1597	158	20	is	be	AUX
ejpam-1597	158	21	proportional	proportional	ADJ
ejpam-1597	158	22	to	to	ADP
ejpam-1597	158	23	the	the	DET
ejpam-1597	158	24	identity	identity	NOUN
ejpam-1597	158	25	matrix	matrix	NOUN
ejpam-1597	158	26	,	,	PUNCT
ejpam-1597	158	27	implying	imply	VERB
ejpam-1597	158	28	that	that	SCONJ
ejpam-1597	158	29	the	the	DET
ejpam-1597	158	30	parameters	parameter	NOUN
ejpam-1597	158	31	are	be	AUX
ejpam-1597	158	32	orthogonal	orthogonal	ADJ
ejpam-1597	158	33	and	and	CCONJ
ejpam-1597	158	34	can	can	AUX
ejpam-1597	158	35	be	be	AUX
ejpam-1597	158	36	estimated	estimate	VERB
ejpam-1597	158	37	with	with	ADP
ejpam-1597	158	38	equal	equal	ADJ
ejpam-1597	158	39	precision	precision	NOUN
ejpam-1597	158	40	.	.	PUNCT
ejpam-1597	159	1	proposition	proposition	NOUN
ejpam-1597	159	2	1	1	NUM
ejpam-1597	159	3	.	.	PUNCT
ejpam-1597	160	1	for	for	ADP
ejpam-1597	160	2	a	a	DET
ejpam-1597	160	3	multivariate	multivariate	NOUN
ejpam-1597	160	4	normal	normal	ADJ
ejpam-1597	160	5	linear	linear	NOUN
ejpam-1597	160	6	or	or	CCONJ
ejpam-1597	160	7	nonlinear	nonlinear	ADJ
ejpam-1597	160	8	structural	structural	ADJ
ejpam-1597	160	9	model	model	NOUN
ejpam-1597	160	10	we	we	PRON
ejpam-1597	160	11	define	define	VERB
ejpam-1597	160	12	the	the	DET
ejpam-1597	160	13	general	general	ADJ
ejpam-1597	160	14	form	form	NOUN
ejpam-1597	160	15	of	of	ADP
ejpam-1597	160	16	icom	icom	PROPN
ejpam-1597	160	17	p	p	PROPN
ejpam-1597	160	18	as	as	ADP
ejpam-1597	160	19	icom	icom	PROPN
ejpam-1597	160	20	p	p	PROPN
ejpam-1597	160	21	=	=	NOUN
ejpam-1597	160	22	−2	−2	NOUN
ejpam-1597	160	23	log	log	NOUN
ejpam-1597	160	24	l(θ̂m	l(θ̂m	NOUN
ejpam-1597	160	25	)	)	PUNCT
ejpam-1597	161	1	+	+	CCONJ
ejpam-1597	161	2	2c1(f̂−1	2c1(f̂−1	NUM
ejpam-1597	161	3	)	)	PUNCT
ejpam-1597	161	4	,	,	PUNCT
ejpam-1597	161	5	(	(	PUNCT
ejpam-1597	161	6	17	17	NUM
ejpam-1597	161	7	)	)	PUNCT
ejpam-1597	161	8	where	where	SCONJ
ejpam-1597	161	9	f̂−1	f̂−1	PROPN
ejpam-1597	161	10	is	be	AUX
ejpam-1597	161	11	the	the	DET
ejpam-1597	161	12	estimated	estimate	VERB
ejpam-1597	161	13	inverse	inverse	NOUN
ejpam-1597	161	14	fisher	fisher	PROPN
ejpam-1597	161	15	information	information	NOUN
ejpam-1597	161	16	matrix	matrix	NOUN
ejpam-1597	161	17	of	of	ADP
ejpam-1597	161	18	the	the	DET
ejpam-1597	161	19	model	model	NOUN
ejpam-1597	161	20	.	.	PUNCT
ejpam-1597	162	1	h.	h.	PROPN
ejpam-1597	162	2	bozdogan	bozdogan	PROPN
ejpam-1597	162	3	,	,	PUNCT
ejpam-1597	162	4	j.	j.	PROPN
ejpam-1597	162	5	howe	howe	PROPN
ejpam-1597	162	6	/	/	SYM
ejpam-1597	162	7	eur	eur	PROPN
ejpam-1597	162	8	.	.	PUNCT
ejpam-1597	163	1	j.	j.	PROPN
ejpam-1597	163	2	pure	pure	PROPN
ejpam-1597	163	3	appl	appl	PROPN
ejpam-1597	163	4	.	.	PROPN
ejpam-1597	163	5	math	math	PROPN
ejpam-1597	163	6	,	,	PUNCT
ejpam-1597	163	7	5	5	NUM
ejpam-1597	163	8	(	(	PUNCT
ejpam-1597	163	9	2012	2012	NUM
ejpam-1597	163	10	)	)	PUNCT
ejpam-1597	163	11	,	,	PUNCT
ejpam-1597	163	12	211	211	NUM
ejpam-1597	163	13	-	-	SYM
ejpam-1597	163	14	249	249	NUM
ejpam-1597	163	15	219	219	NUM
ejpam-1597	163	16	proof	proof	NOUN
ejpam-1597	163	17	.	.	PUNCT
ejpam-1597	164	1	suppose	suppose	VERB
ejpam-1597	164	2	we	we	PRON
ejpam-1597	164	3	consider	consider	VERB
ejpam-1597	164	4	a	a	DET
ejpam-1597	164	5	general	general	ADJ
ejpam-1597	164	6	statistical	statistical	ADJ
ejpam-1597	164	7	model	model	NOUN
ejpam-1597	164	8	of	of	ADP
ejpam-1597	164	9	the	the	DET
ejpam-1597	164	10	form	form	NOUN
ejpam-1597	164	11	given	give	VERB
ejpam-1597	164	12	by	by	ADP
ejpam-1597	164	13	y	y	PROPN
ejpam-1597	164	14	=	=	PUNCT
ejpam-1597	164	15	m(θ	m(θ	PROPN
ejpam-1597	164	16	)	)	PUNCT
ejpam-1597	165	1	+	+	CCONJ
ejpam-1597	165	2	ǫ	ǫ	X
ejpam-1597	165	3	,	,	PUNCT
ejpam-1597	165	4	(	(	PUNCT
ejpam-1597	165	5	18	18	NUM
ejpam-1597	165	6	)	)	PUNCT
ejpam-1597	165	7	where	where	SCONJ
ejpam-1597	165	8	:	:	PUNCT
ejpam-1597	165	9	•	•	NUM
ejpam-1597	165	10	y	y	PROPN
ejpam-1597	165	11	=	=	SYM
ejpam-1597	165	12	(	(	PUNCT
ejpam-1597	165	13	y1	y1	PROPN
ejpam-1597	165	14	,	,	PUNCT
ejpam-1597	165	15	y2	y2	PROPN
ejpam-1597	165	16	,	,	PUNCT
ejpam-1597	165	17	.	.	PUNCT
ejpam-1597	165	18	.	.	PUNCT
ejpam-1597	165	19	.	.	PUNCT
ejpam-1597	166	1	,	,	PUNCT
ejpam-1597	166	2	yn	yn	PROPN
ejpam-1597	166	3	)	)	PUNCT
ejpam-1597	166	4	is	be	AUX
ejpam-1597	166	5	an	an	DET
ejpam-1597	166	6	n×	n×	PROPN
ejpam-1597	166	7	1	1	NUM
ejpam-1597	166	8	random	random	ADJ
ejpam-1597	166	9	vector	vector	NOUN
ejpam-1597	166	10	of	of	ADP
ejpam-1597	166	11	response	response	NOUN
ejpam-1597	166	12	values	value	NOUN
ejpam-1597	166	13	in	in	ADP
ejpam-1597	166	14	rn	rn	PROPN
ejpam-1597	166	15	;	;	PUNCT
ejpam-1597	166	16	•	•	NUM
ejpam-1597	166	17	θ	θ	NOUN
ejpam-1597	166	18	is	be	AUX
ejpam-1597	166	19	a	a	DET
ejpam-1597	166	20	parameter	parameter	NOUN
ejpam-1597	166	21	vector	vector	NOUN
ejpam-1597	166	22	in	in	ADP
ejpam-1597	166	23	rk	rk	NOUN
ejpam-1597	166	24	;	;	PUNCT
ejpam-1597	166	25	•	•	NUM
ejpam-1597	166	26	m(θ	m(θ	NOUN
ejpam-1597	166	27	)	)	PUNCT
ejpam-1597	166	28	is	be	AUX
ejpam-1597	166	29	a	a	DET
ejpam-1597	166	30	systematic	systematic	ADJ
ejpam-1597	166	31	component	component	NOUN
ejpam-1597	166	32	of	of	ADP
ejpam-1597	166	33	the	the	DET
ejpam-1597	166	34	model	model	NOUN
ejpam-1597	166	35	in	in	ADP
ejpam-1597	166	36	rn	rn	PROPN
ejpam-1597	166	37	,	,	PUNCT
ejpam-1597	166	38	which	which	PRON
ejpam-1597	166	39	depends	depend	VERB
ejpam-1597	166	40	on	on	ADP
ejpam-1597	166	41	the	the	DET
ejpam-1597	166	42	parameter	parameter	NOUN
ejpam-1597	166	43	vector	vector	NOUN
ejpam-1597	166	44	θ	θ	PROPN
ejpam-1597	166	45	,	,	PUNCT
ejpam-1597	166	46	and	and	CCONJ
ejpam-1597	166	47	its	its	PRON
ejpam-1597	166	48	deterministic	deterministic	ADJ
ejpam-1597	166	49	structure	structure	NOUN
ejpam-1597	166	50	depends	depend	VERB
ejpam-1597	166	51	on	on	ADP
ejpam-1597	166	52	the	the	DET
ejpam-1597	166	53	specific	specific	ADJ
ejpam-1597	166	54	model	model	NOUN
ejpam-1597	166	55	considered	consider	VERB
ejpam-1597	166	56	;	;	PUNCT
ejpam-1597	166	57	and	and	CCONJ
ejpam-1597	166	58	•	•	NOUN
ejpam-1597	166	59	ǫ	ǫ	PRON
ejpam-1597	166	60	is	be	AUX
ejpam-1597	166	61	an	an	DET
ejpam-1597	166	62	n×	n×	PROPN
ejpam-1597	166	63	1	1	NUM
ejpam-1597	166	64	random	random	ADJ
ejpam-1597	166	65	error	error	NOUN
ejpam-1597	166	66	vector	vector	NOUN
ejpam-1597	166	67	with	with	ADP
ejpam-1597	166	68	e	e	PROPN
ejpam-1597	166	69	(	(	PUNCT
ejpam-1597	166	70	ǫ	ǫ	NOUN
ejpam-1597	166	71	)	)	PUNCT
ejpam-1597	166	72	=	=	SYM
ejpam-1597	166	73	0	0	NUM
ejpam-1597	166	74	,	,	PUNCT
ejpam-1597	166	75	and	and	CCONJ
ejpam-1597	166	76	e	e	PROPN
ejpam-1597	166	77	�	�	PROPN
ejpam-1597	166	78	ǫǫ′	ǫǫ′	NUM
ejpam-1597	166	79	�	�	PROPN
ejpam-1597	166	80	=	=	SYM
ejpam-1597	166	81	σ(ǫ	σ(ǫ	NOUN
ejpam-1597	166	82	)	)	PUNCT
ejpam-1597	166	83	.	.	PUNCT
ejpam-1597	167	1	(	(	PUNCT
ejpam-1597	167	2	19	19	NUM
ejpam-1597	167	3	)	)	PUNCT
ejpam-1597	167	4	following	follow	VERB
ejpam-1597	167	5	[	[	X
ejpam-1597	167	6	9	9	NUM
ejpam-1597	167	7	]	]	PUNCT
ejpam-1597	167	8	,	,	PUNCT
ejpam-1597	167	9	we	we	PRON
ejpam-1597	167	10	denote	denote	VERB
ejpam-1597	167	11	θ	θ	PROPN
ejpam-1597	167	12	∗	∗	NOUN
ejpam-1597	167	13	to	to	PART
ejpam-1597	167	14	be	be	AUX
ejpam-1597	167	15	the	the	DET
ejpam-1597	167	16	parameter	parameter	NOUN
ejpam-1597	167	17	vector	vector	NOUN
ejpam-1597	167	18	of	of	ADP
ejpam-1597	167	19	the	the	DET
ejpam-1597	167	20	true	true	ADJ
ejpam-1597	167	21	operating	operating	NOUN
ejpam-1597	167	22	model	model	NOUN
ejpam-1597	167	23	,	,	PUNCT
ejpam-1597	167	24	and	and	CCONJ
ejpam-1597	167	25	θ	θ	NOUN
ejpam-1597	167	26	to	to	PART
ejpam-1597	167	27	be	be	AUX
ejpam-1597	167	28	any	any	DET
ejpam-1597	167	29	other	other	ADJ
ejpam-1597	167	30	value	value	NOUN
ejpam-1597	167	31	of	of	ADP
ejpam-1597	167	32	the	the	DET
ejpam-1597	167	33	vector	vector	NOUN
ejpam-1597	167	34	of	of	ADP
ejpam-1597	167	35	parameters	parameter	NOUN
ejpam-1597	167	36	.	.	PUNCT
ejpam-1597	168	1	let	let	VERB
ejpam-1597	168	2	f	f	PROPN
ejpam-1597	168	3	(	(	PUNCT
ejpam-1597	168	4	y	y	PROPN
ejpam-1597	168	5	|	|	ADV
ejpam-1597	168	6	θ	θ	PROPN
ejpam-1597	168	7	)	)	PUNCT
ejpam-1597	168	8	denote	denote	VERB
ejpam-1597	168	9	the	the	DET
ejpam-1597	168	10	joint	joint	ADJ
ejpam-1597	168	11	density	density	NOUN
ejpam-1597	168	12	function	function	NOUN
ejpam-1597	168	13	of	of	ADP
ejpam-1597	168	14	y	y	PROPN
ejpam-1597	168	15	given	give	VERB
ejpam-1597	168	16	θ	θ	PROPN
ejpam-1597	168	17	,	,	PUNCT
ejpam-1597	168	18	and	and	CCONJ
ejpam-1597	168	19	let	let	VERB
ejpam-1597	168	20	f	f	PROPN
ejpam-1597	168	21	(	(	PUNCT
ejpam-1597	168	22	y	y	PROPN
ejpam-1597	168	23	|	|	ADV
ejpam-1597	168	24	θ	θ	PROPN
ejpam-1597	168	25	∗	∗	NOUN
ejpam-1597	168	26	)	)	PUNCT
ejpam-1597	168	27	indicate	indicate	VERB
ejpam-1597	168	28	the	the	DET
ejpam-1597	168	29	true	true	ADJ
ejpam-1597	168	30	model	model	NOUN
ejpam-1597	168	31	.	.	PUNCT
ejpam-1597	169	1	further	far	ADV
ejpam-1597	169	2	,	,	PUNCT
ejpam-1597	169	3	let	let	VERB
ejpam-1597	169	4	k	k	PROPN
ejpam-1597	169	5	l(θ	l(θ	PROPN
ejpam-1597	169	6	∗	∗	VERB
ejpam-1597	169	7	|	|	NOUN
ejpam-1597	169	8	θ	θ	NOUN
ejpam-1597	169	9	)	)	PUNCT
ejpam-1597	169	10	denote	denote	VERB
ejpam-1597	169	11	the	the	DET
ejpam-1597	169	12	kl	kl	NOUN
ejpam-1597	169	13	distance	distance	NOUN
ejpam-1597	169	14	between	between	ADP
ejpam-1597	169	15	the	the	DET
ejpam-1597	169	16	true	true	ADJ
ejpam-1597	169	17	model	model	NOUN
ejpam-1597	169	18	.	.	PUNCT
ejpam-1597	170	1	then	then	ADV
ejpam-1597	170	2	,	,	PUNCT
ejpam-1597	170	3	since	since	SCONJ
ejpam-1597	170	4	yi	yi	PROPN
ejpam-1597	170	5	,	,	PUNCT
ejpam-1597	170	6	i	i	NOUN
ejpam-1597	170	7	=	=	NOUN
ejpam-1597	170	8	1,2	1,2	NUM
ejpam-1597	170	9	,	,	PUNCT
ejpam-1597	170	10	.	.	PUNCT
ejpam-1597	170	11	.	.	PUNCT
ejpam-1597	170	12	.	.	PUNCT
ejpam-1597	171	1	,	,	PUNCT
ejpam-1597	171	2	n	n	PRON
ejpam-1597	171	3	are	be	AUX
ejpam-1597	171	4	independent	independent	ADJ
ejpam-1597	171	5	,	,	PUNCT
ejpam-1597	171	6	we	we	PRON
ejpam-1597	171	7	have	have	VERB
ejpam-1597	171	8	:	:	PUNCT
ejpam-1597	171	9	k	k	PROPN
ejpam-1597	171	10	l(θ	l(θ	PROPN
ejpam-1597	171	11	∗,θ	∗,θ	PROPN
ejpam-1597	171	12	)	)	PUNCT
ejpam-1597	172	1	=	=	SYM
ejpam-1597	173	1	∫	∫	PROPN
ejpam-1597	174	1	r	r	NOUN
ejpam-1597	174	2	n	n	PROPN
ejpam-1597	174	3	f	f	PROPN
ejpam-1597	174	4	(	(	PUNCT
ejpam-1597	174	5	y	y	PROPN
ejpam-1597	174	6	|	|	ADV
ejpam-1597	174	7	θ	θ	PROPN
ejpam-1597	174	8	∗	∗	NOUN
ejpam-1597	174	9	)	)	PUNCT
ejpam-1597	174	10	log	log	VERB
ejpam-1597	175	1	�	�	PROPN
ejpam-1597	175	2	f	f	PROPN
ejpam-1597	176	1	(	(	PUNCT
ejpam-1597	176	2	y	y	PROPN
ejpam-1597	176	3	|	|	ADV
ejpam-1597	176	4	θ	θ	PROPN
ejpam-1597	176	5	∗	∗	NOUN
ejpam-1597	176	6	)	)	PUNCT
ejpam-1597	176	7	f	f	PROPN
ejpam-1597	176	8	(	(	PUNCT
ejpam-1597	176	9	y	y	PROPN
ejpam-1597	176	10	|	|	ADV
ejpam-1597	176	11	θ	θ	PROPN
ejpam-1597	176	12	)	)	PUNCT
ejpam-1597	176	13	�	�	PROPN
ejpam-1597	177	1	d	d	NOUN
ejpam-1597	177	2	y	y	PROPN
ejpam-1597	177	3	=	=	SYM
ejpam-1597	177	4	n∑	n∑	PROPN
ejpam-1597	177	5	i=1	i=1	PROPN
ejpam-1597	178	1	∫	∫	PROPN
ejpam-1597	178	2	fi(yi	fi(yi	PROPN
ejpam-1597	179	1	|	|	ADV
ejpam-1597	179	2	θ	θ	PROPN
ejpam-1597	179	3	∗	∗	NOUN
ejpam-1597	179	4	)	)	PUNCT
ejpam-1597	179	5	log	log	NOUN
ejpam-1597	179	6	�	�	PROPN
ejpam-1597	179	7	fi(yi	fi(yi	PROPN
ejpam-1597	180	1	|	|	ADV
ejpam-1597	180	2	θ	θ	PROPN
ejpam-1597	180	3	∗	∗	NOUN
ejpam-1597	180	4	)	)	PUNCT
ejpam-1597	180	5	�	�	PROPN
ejpam-1597	180	6	d	d	NOUN
ejpam-1597	180	7	yi	yi	PROPN
ejpam-1597	181	1	−	−	PROPN
ejpam-1597	181	2	n∑	n∑	PROPN
ejpam-1597	182	1	i=1	i=1	PROPN
ejpam-1597	183	1	∫	∫	PROPN
ejpam-1597	183	2	fi(yi	fi(yi	PROPN
ejpam-1597	184	1	|	|	ADV
ejpam-1597	184	2	θ	θ	PROPN
ejpam-1597	184	3	∗	∗	NOUN
ejpam-1597	184	4	)	)	PUNCT
ejpam-1597	184	5	log	log	NOUN
ejpam-1597	184	6	�	�	PROPN
ejpam-1597	184	7	fi(yi	fi(yi	PROPN
ejpam-1597	184	8	|	|	ADV
ejpam-1597	184	9	θ	θ	NOUN
ejpam-1597	184	10	)	)	PUNCT
ejpam-1597	184	11	�	�	PROPN
ejpam-1597	184	12	d	d	PROPN
ejpam-1597	184	13	yi	yi	PROPN
ejpam-1597	184	14	,	,	PUNCT
ejpam-1597	184	15	(	(	PUNCT
ejpam-1597	184	16	20	20	NUM
ejpam-1597	184	17	)	)	PUNCT
ejpam-1597	184	18	where	where	SCONJ
ejpam-1597	184	19	fi	fi	NOUN
ejpam-1597	184	20	,	,	PUNCT
ejpam-1597	184	21	i	i	PRON
ejpam-1597	184	22	=	=	NOUN
ejpam-1597	184	23	1,2	1,2	NUM
ejpam-1597	184	24	,	,	PUNCT
ejpam-1597	184	25	.	.	PUNCT
ejpam-1597	184	26	.	.	PUNCT
ejpam-1597	184	27	.	.	PUNCT
ejpam-1597	185	1	,	,	PUNCT
ejpam-1597	185	2	n	n	PRON
ejpam-1597	185	3	are	be	AUX
ejpam-1597	185	4	the	the	DET
ejpam-1597	185	5	marginal	marginal	ADJ
ejpam-1597	185	6	densities	density	NOUN
ejpam-1597	185	7	of	of	ADP
ejpam-1597	185	8	the	the	DET
ejpam-1597	185	9	yi	yi	PROPN
ejpam-1597	185	10	.	.	PUNCT
ejpam-1597	186	1	note	note	VERB
ejpam-1597	186	2	that	that	SCONJ
ejpam-1597	186	3	the	the	DET
ejpam-1597	186	4	first	first	ADJ
ejpam-1597	186	5	term	term	NOUN
ejpam-1597	186	6	in	in	ADP
ejpam-1597	186	7	(	(	PUNCT
ejpam-1597	186	8	20	20	NUM
ejpam-1597	186	9	)	)	PUNCT
ejpam-1597	186	10	is	be	AUX
ejpam-1597	186	11	the	the	DET
ejpam-1597	186	12	usual	usual	ADJ
ejpam-1597	186	13	negative	negative	ADJ
ejpam-1597	186	14	entropy	entropy	NOUN
ejpam-1597	186	15	h(θ	h(θ	PROPN
ejpam-1597	186	16	∗;θ	∗;θ	PROPN
ejpam-1597	186	17	∗	∗	NOUN
ejpam-1597	186	18	)	)	PUNCT
ejpam-1597	186	19	=	=	SYM
ejpam-1597	186	20	h(θ	h(θ	PROPN
ejpam-1597	186	21	∗	∗	NOUN
ejpam-1597	186	22	)	)	PUNCT
ejpam-1597	186	23	,	,	PUNCT
ejpam-1597	186	24	which	which	PRON
ejpam-1597	186	25	is	be	AUX
ejpam-1597	186	26	constant	constant	ADJ
ejpam-1597	186	27	for	for	ADP
ejpam-1597	186	28	a	a	DET
ejpam-1597	186	29	given	give	VERB
ejpam-1597	186	30	fi(yi	fi(yi	NOUN
ejpam-1597	186	31	|	|	ADV
ejpam-1597	186	32	θ	θ	NOUN
ejpam-1597	186	33	∗	∗	NOUN
ejpam-1597	186	34	)	)	PUNCT
ejpam-1597	186	35	.	.	PUNCT
ejpam-1597	187	1	the	the	DET
ejpam-1597	187	2	second	second	ADJ
ejpam-1597	187	3	term	term	NOUN
ejpam-1597	187	4	is	be	AUX
ejpam-1597	187	5	equal	equal	ADJ
ejpam-1597	187	6	to	to	ADP
ejpam-1597	187	7	:	:	PUNCT
ejpam-1597	187	8	−	−	PROPN
ejpam-1597	187	9	n∑	n∑	NOUN
ejpam-1597	187	10	i=1	i=1	PROPN
ejpam-1597	188	1	e	e	PROPN
ejpam-1597	188	2	�	�	PROPN
ejpam-1597	188	3	log	log	NOUN
ejpam-1597	188	4	fi(yi	fi(yi	PROPN
ejpam-1597	188	5	|	|	ADV
ejpam-1597	188	6	θ	θ	NOUN
ejpam-1597	188	7	)	)	PUNCT
ejpam-1597	188	8	�	�	PROPN
ejpam-1597	188	9	,	,	PUNCT
ejpam-1597	188	10	(	(	PUNCT
ejpam-1597	188	11	21	21	NUM
ejpam-1597	188	12	)	)	PUNCT
ejpam-1597	188	13	which	which	PRON
ejpam-1597	188	14	can	can	AUX
ejpam-1597	188	15	be	be	AUX
ejpam-1597	188	16	unbiasedly	unbiasedly	ADV
ejpam-1597	188	17	estimated	estimate	VERB
ejpam-1597	188	18	by	by	ADP
ejpam-1597	188	19	−	−	PROPN
ejpam-1597	188	20	n∑	n∑	PROPN
ejpam-1597	189	1	i=1	i=1	PROPN
ejpam-1597	189	2	log	log	NOUN
ejpam-1597	189	3	fi(yi	fi(yi	PROPN
ejpam-1597	189	4	|	|	NOUN
ejpam-1597	189	5	θ	θ	NOUN
ejpam-1597	189	6	)	)	PUNCT
ejpam-1597	189	7	=	=	SYM
ejpam-1597	190	1	−	−	NOUN
ejpam-1597	190	2	log	log	NOUN
ejpam-1597	190	3	l(θ	l(θ	PROPN
ejpam-1597	190	4	|	|	NOUN
ejpam-1597	190	5	y	y	NOUN
ejpam-1597	190	6	)	)	PUNCT
ejpam-1597	190	7	.	.	PUNCT
ejpam-1597	191	1	(	(	PUNCT
ejpam-1597	191	2	22	22	NUM
ejpam-1597	191	3	)	)	PUNCT
ejpam-1597	191	4	of	of	ADP
ejpam-1597	191	5	course	course	NOUN
ejpam-1597	191	6	,	,	PUNCT
ejpam-1597	191	7	log	log	VERB
ejpam-1597	191	8	l(θ	l(θ	PROPN
ejpam-1597	191	9	|	|	ADV
ejpam-1597	191	10	y	y	NOUN
ejpam-1597	191	11	)	)	PUNCT
ejpam-1597	191	12	is	be	AUX
ejpam-1597	191	13	the	the	DET
ejpam-1597	191	14	log	log	NOUN
ejpam-1597	191	15	likelihood	likelihood	NOUN
ejpam-1597	191	16	of	of	ADP
ejpam-1597	191	17	the	the	DET
ejpam-1597	191	18	observations	observation	NOUN
ejpam-1597	191	19	evaluated	evaluate	VERB
ejpam-1597	191	20	at	at	ADP
ejpam-1597	191	21	θ	θ	PROPN
ejpam-1597	191	22	.	.	PUNCT
ejpam-1597	192	1	in	in	ADP
ejpam-1597	192	2	practice	practice	NOUN
ejpam-1597	192	3	,	,	PUNCT
ejpam-1597	192	4	we	we	PRON
ejpam-1597	192	5	would	would	AUX
ejpam-1597	192	6	estimate	estimate	VERB
ejpam-1597	192	7	the	the	DET
ejpam-1597	192	8	parameter	parameter	NOUN
ejpam-1597	192	9	vector	vector	NOUN
ejpam-1597	192	10	for	for	ADP
ejpam-1597	192	11	a	a	DET
ejpam-1597	192	12	model	model	NOUN
ejpam-1597	192	13	m	m	VERB
ejpam-1597	192	14	,	,	PUNCT
ejpam-1597	192	15	typically	typically	ADV
ejpam-1597	192	16	using	use	VERB
ejpam-1597	192	17	the	the	DET
ejpam-1597	192	18	mle	mle	PROPN
ejpam-1597	192	19	θ̂m	θ̂m	NOUN
ejpam-1597	192	20	,	,	PUNCT
ejpam-1597	192	21	and	and	CCONJ
ejpam-1597	192	22	so	so	ADV
ejpam-1597	192	23	use	use	VERB
ejpam-1597	192	24	the	the	DET
ejpam-1597	192	25	maximized	maximize	VERB
ejpam-1597	192	26	log	log	NOUN
ejpam-1597	192	27	likelihood	likelihood	NOUN
ejpam-1597	192	28	−	−	PROPN
ejpam-1597	192	29	n∑	n∑	PROPN
ejpam-1597	193	1	i=1	i=1	PROPN
ejpam-1597	194	1	log	log	NOUN
ejpam-1597	194	2	fi(yi	fi(yi	PROPN
ejpam-1597	195	1	|	|	ADV
ejpam-1597	195	2	θ̂m	θ̂m	NOUN
ejpam-1597	195	3	)	)	PUNCT
ejpam-1597	196	1	=	=	SYM
ejpam-1597	197	1	−	−	NOUN
ejpam-1597	197	2	log	log	NOUN
ejpam-1597	197	3	l(θ̂m	l(θ̂m	NOUN
ejpam-1597	197	4	|	|	INTJ
ejpam-1597	197	5	y	y	NOUN
ejpam-1597	197	6	)	)	PUNCT
ejpam-1597	197	7	.	.	PUNCT
ejpam-1597	198	1	(	(	PUNCT
ejpam-1597	198	2	23	23	NUM
ejpam-1597	198	3	)	)	PUNCT
ejpam-1597	198	4	this	this	PRON
ejpam-1597	198	5	gives	give	VERB
ejpam-1597	198	6	us	we	PRON
ejpam-1597	198	7	an	an	DET
ejpam-1597	198	8	estimate	estimate	NOUN
ejpam-1597	198	9	of	of	ADP
ejpam-1597	198	10	the	the	DET
ejpam-1597	198	11	first	first	ADJ
ejpam-1597	198	12	kl	kl	PROPN
ejpam-1597	198	13	distance	distance	NOUN
ejpam-1597	198	14	,	,	PUNCT
ejpam-1597	198	15	which	which	PRON
ejpam-1597	198	16	is	be	AUX
ejpam-1597	198	17	reminiscent	reminiscent	ADJ
ejpam-1597	198	18	of	of	ADP
ejpam-1597	198	19	the	the	DET
ejpam-1597	198	20	derivation	derivation	NOUN
ejpam-1597	198	21	of	of	ADP
ejpam-1597	198	22	aic	aic	PROPN
ejpam-1597	198	23	.	.	PUNCT
ejpam-1597	199	1	h.	h.	PROPN
ejpam-1597	199	2	bozdogan	bozdogan	PROPN
ejpam-1597	199	3	,	,	PUNCT
ejpam-1597	199	4	j.	j.	PROPN
ejpam-1597	199	5	howe	howe	PROPN
ejpam-1597	199	6	/	/	SYM
ejpam-1597	199	7	eur	eur	PROPN
ejpam-1597	199	8	.	.	PUNCT
ejpam-1597	200	1	j.	j.	PROPN
ejpam-1597	200	2	pure	pure	PROPN
ejpam-1597	200	3	appl	appl	PROPN
ejpam-1597	200	4	.	.	PROPN
ejpam-1597	200	5	math	math	PROPN
ejpam-1597	200	6	,	,	PUNCT
ejpam-1597	200	7	5	5	NUM
ejpam-1597	200	8	(	(	PUNCT
ejpam-1597	200	9	2012	2012	NUM
ejpam-1597	200	10	)	)	PUNCT
ejpam-1597	200	11	,	,	PUNCT
ejpam-1597	200	12	211	211	NUM
ejpam-1597	200	13	-	-	SYM
ejpam-1597	200	14	249	249	NUM
ejpam-1597	200	15	220	220	NUM
ejpam-1597	200	16	on	on	ADP
ejpam-1597	200	17	the	the	DET
ejpam-1597	200	18	other	other	ADJ
ejpam-1597	200	19	hand	hand	NOUN
ejpam-1597	200	20	,	,	PUNCT
ejpam-1597	200	21	a	a	DET
ejpam-1597	200	22	model	model	NOUN
ejpam-1597	200	23	m	m	AUX
ejpam-1597	200	24	gives	give	VERB
ejpam-1597	200	25	rise	rise	NOUN
ejpam-1597	200	26	to	to	ADP
ejpam-1597	200	27	an	an	DET
ejpam-1597	200	28	asymptotic	asymptotic	ADJ
ejpam-1597	200	29	covariance	covariance	NOUN
ejpam-1597	200	30	matrix	matrix	NOUN
ejpam-1597	200	31	:	:	PUNCT
ejpam-1597	200	32	cov(θ̂m	cov(θ̂m	NOUN
ejpam-1597	200	33	)	)	PUNCT
ejpam-1597	201	1	=	=	SYM
ejpam-1597	201	2	σ(θ̂m	σ(θ̂m	NOUN
ejpam-1597	201	3	)	)	PUNCT
ejpam-1597	201	4	(	(	PUNCT
ejpam-1597	201	5	24	24	NUM
ejpam-1597	201	6	)	)	PUNCT
ejpam-1597	201	7	for	for	ADP
ejpam-1597	201	8	the	the	DET
ejpam-1597	201	9	mle	mle	PROPN
ejpam-1597	201	10	θ̂m	θ̂m	NOUN
ejpam-1597	201	11	.	.	PUNCT
ejpam-1597	202	1	that	that	PRON
ejpam-1597	202	2	is	is	ADV
ejpam-1597	202	3	,	,	PUNCT
ejpam-1597	202	4	θ̂m	θ̂m	NOUN
ejpam-1597	202	5	∼	∼	NOUN
ejpam-1597	202	6	n(θ	n(θ	PROPN
ejpam-1597	202	7	∗,σ(θ̂m	∗,σ(θ̂m	X
ejpam-1597	202	8	)	)	PUNCT
ejpam-1597	203	1	=	=	SYM
ejpam-1597	203	2	f−1	f−1	PROPN
ejpam-1597	203	3	)	)	PUNCT
ejpam-1597	203	4	.	.	PUNCT
ejpam-1597	204	1	(	(	PUNCT
ejpam-1597	204	2	25	25	NUM
ejpam-1597	204	3	)	)	PUNCT
ejpam-1597	204	4	now	now	ADV
ejpam-1597	204	5	invoking	invoke	VERB
ejpam-1597	204	6	the	the	DET
ejpam-1597	204	7	c1	c1	NOUN
ejpam-1597	204	8	(	(	PUNCT
ejpam-1597	204	9	·	·	PUNCT
ejpam-1597	204	10	)	)	PUNCT
ejpam-1597	204	11	(	(	PUNCT
ejpam-1597	204	12	16	16	NUM
ejpam-1597	204	13	)	)	PUNCT
ejpam-1597	204	14	complexity	complexity	NOUN
ejpam-1597	204	15	on	on	ADP
ejpam-1597	204	16	σ(θ̂m	σ(θ̂m	NOUN
ejpam-1597	204	17	)	)	PUNCT
ejpam-1597	204	18	can	can	AUX
ejpam-1597	204	19	be	be	AUX
ejpam-1597	204	20	seen	see	VERB
ejpam-1597	204	21	as	as	ADP
ejpam-1597	204	22	the	the	DET
ejpam-1597	204	23	kl	kl	PROPN
ejpam-1597	204	24	distance	distance	NOUN
ejpam-1597	204	25	between	between	ADP
ejpam-1597	204	26	the	the	DET
ejpam-1597	204	27	joint	joint	ADJ
ejpam-1597	204	28	density	density	NOUN
ejpam-1597	204	29	and	and	CCONJ
ejpam-1597	204	30	the	the	DET
ejpam-1597	204	31	product	product	NOUN
ejpam-1597	204	32	of	of	ADP
ejpam-1597	204	33	marginal	marginal	ADJ
ejpam-1597	204	34	densities	density	NOUN
ejpam-1597	204	35	for	for	ADP
ejpam-1597	204	36	a	a	DET
ejpam-1597	204	37	normal	normal	ADJ
ejpam-1597	204	38	random	random	ADJ
ejpam-1597	204	39	vector	vector	NOUN
ejpam-1597	204	40	with	with	ADP
ejpam-1597	204	41	covariance	covariance	NOUN
ejpam-1597	204	42	matrix	matrix	NOUN
ejpam-1597	204	43	σ(θ̂m	σ(θ̂m	NOUN
ejpam-1597	204	44	)	)	PUNCT
ejpam-1597	204	45	,	,	PUNCT
ejpam-1597	204	46	maximized	maximize	VERB
ejpam-1597	204	47	over	over	ADP
ejpam-1597	204	48	all	all	DET
ejpam-1597	204	49	orthonormal	orthonormal	ADJ
ejpam-1597	204	50	transformations	transformation	NOUN
ejpam-1597	204	51	of	of	ADP
ejpam-1597	204	52	that	that	DET
ejpam-1597	204	53	normal	normal	ADJ
ejpam-1597	204	54	random	random	ADJ
ejpam-1597	204	55	vector	vector	NOUN
ejpam-1597	205	1	[	[	X
ejpam-1597	205	2	see	see	VERB
ejpam-1597	205	3	6	6	NUM
ejpam-1597	205	4	]	]	PUNCT
ejpam-1597	205	5	.	.	PUNCT
ejpam-1597	206	1	hence	hence	ADV
ejpam-1597	206	2	,	,	PUNCT
ejpam-1597	206	3	using	use	VERB
ejpam-1597	206	4	the	the	DET
ejpam-1597	206	5	estimated	estimate	VERB
ejpam-1597	206	6	covariance	covariance	NOUN
ejpam-1597	206	7	matrix	matrix	NOUN
ejpam-1597	206	8	,	,	PUNCT
ejpam-1597	206	9	we	we	PRON
ejpam-1597	206	10	define	define	VERB
ejpam-1597	206	11	icom	icom	PROPN
ejpam-1597	206	12	p	p	PROPN
ejpam-1597	206	13	as	as	ADP
ejpam-1597	206	14	the	the	DET
ejpam-1597	206	15	sum	sum	NOUN
ejpam-1597	206	16	of	of	ADP
ejpam-1597	206	17	two	two	NUM
ejpam-1597	206	18	kullback	kullback	NOUN
ejpam-1597	206	19	-	-	PUNCT
ejpam-1597	206	20	liebler	liebler	NOUN
ejpam-1597	206	21	distances	distance	NOUN
ejpam-1597	206	22	given	give	VERB
ejpam-1597	206	23	by	by	ADP
ejpam-1597	206	24	:	:	PUNCT
ejpam-1597	206	25	icom	icom	PROPN
ejpam-1597	206	26	p(f̂−1	p(f̂−1	PROPN
ejpam-1597	206	27	)	)	PUNCT
ejpam-1597	206	28	=	=	SYM
ejpam-1597	207	1	−2	−2	NOUN
ejpam-1597	208	1	n∑	n∑	PROPN
ejpam-1597	208	2	i=1	i=1	PROPN
ejpam-1597	209	1	log	log	NOUN
ejpam-1597	209	2	fi(yi	fi(yi	PROPN
ejpam-1597	210	1	|	|	ADV
ejpam-1597	210	2	θ̂m	θ̂m	NOUN
ejpam-1597	210	3	)	)	PUNCT
ejpam-1597	211	1	+	+	CCONJ
ejpam-1597	211	2	2c1(σ̂(θ̂m	2c1(σ̂(θ̂m	NUM
ejpam-1597	211	3	)	)	PUNCT
ejpam-1597	211	4	)	)	PUNCT
ejpam-1597	212	1	=	=	PUNCT
ejpam-1597	213	1	−2	−2	NOUN
ejpam-1597	213	2	log	log	VERB
ejpam-1597	213	3	l(θ̂m	l(θ̂m	NOUN
ejpam-1597	214	1	|	|	INTJ
ejpam-1597	214	2	y	y	NOUN
ejpam-1597	214	3	)	)	PUNCT
ejpam-1597	215	1	+	+	NUM
ejpam-1597	215	2	2c1(f̂−1	2c1(f̂−1	NUM
ejpam-1597	215	3	)	)	PUNCT
ejpam-1597	215	4	.	.	PUNCT
ejpam-1597	216	1	(	(	PUNCT
ejpam-1597	216	2	26	26	NUM
ejpam-1597	216	3	)	)	PUNCT
ejpam-1597	216	4	some	some	DET
ejpam-1597	216	5	observations	observation	NOUN
ejpam-1597	216	6	:	:	PUNCT
ejpam-1597	216	7	•	•	ADP
ejpam-1597	216	8	the	the	DET
ejpam-1597	216	9	first	first	ADJ
ejpam-1597	216	10	component	component	NOUN
ejpam-1597	216	11	of	of	ADP
ejpam-1597	216	12	icom	icom	PROPN
ejpam-1597	216	13	p(f̂−1	p(f̂−1	PROPN
ejpam-1597	216	14	)	)	PUNCT
ejpam-1597	216	15	in	in	ADP
ejpam-1597	216	16	(	(	PUNCT
ejpam-1597	216	17	26	26	NUM
ejpam-1597	216	18	)	)	PUNCT
ejpam-1597	216	19	measures	measure	NOUN
ejpam-1597	216	20	the	the	DET
ejpam-1597	216	21	lack	lack	NOUN
ejpam-1597	216	22	of	of	ADP
ejpam-1597	216	23	fit	fit	NOUN
ejpam-1597	216	24	of	of	ADP
ejpam-1597	216	25	the	the	DET
ejpam-1597	216	26	model	model	NOUN
ejpam-1597	216	27	,	,	PUNCT
ejpam-1597	216	28	and	and	CCONJ
ejpam-1597	216	29	the	the	DET
ejpam-1597	216	30	second	second	ADJ
ejpam-1597	216	31	component	component	NOUN
ejpam-1597	216	32	measures	measure	VERB
ejpam-1597	216	33	the	the	DET
ejpam-1597	216	34	complexity	complexity	NOUN
ejpam-1597	216	35	of	of	ADP
ejpam-1597	216	36	the	the	DET
ejpam-1597	216	37	estimated	estimate	VERB
ejpam-1597	216	38	ifim	ifim	NOUN
ejpam-1597	216	39	,	,	PUNCT
ejpam-1597	216	40	which	which	PRON
ejpam-1597	216	41	gives	give	VERB
ejpam-1597	216	42	a	a	DET
ejpam-1597	216	43	scalar	scalar	ADJ
ejpam-1597	216	44	measure	measure	NOUN
ejpam-1597	216	45	of	of	ADP
ejpam-1597	216	46	the	the	DET
ejpam-1597	216	47	celebrated	celebrate	VERB
ejpam-1597	216	48	cramér	cramér	ADJ
ejpam-1597	216	49	-	-	PUNCT
ejpam-1597	216	50	rao	rao	NOUN
ejpam-1597	216	51	lower	low	ADJ
ejpam-1597	216	52	bound	bind	VERB
ejpam-1597	216	53	matrix	matrix	NOUN
ejpam-1597	216	54	(	(	PUNCT
ejpam-1597	216	55	crlb	crlb	NOUN
ejpam-1597	216	56	)	)	PUNCT
ejpam-1597	216	57	,	,	PUNCT
ejpam-1597	216	58	taking	take	VERB
ejpam-1597	216	59	into	into	ADP
ejpam-1597	216	60	account	account	NOUN
ejpam-1597	216	61	the	the	DET
ejpam-1597	216	62	accuracy	accuracy	NOUN
ejpam-1597	216	63	of	of	ADP
ejpam-1597	216	64	the	the	DET
ejpam-1597	216	65	estimated	estimate	VERB
ejpam-1597	216	66	parameters	parameter	NOUN
ejpam-1597	216	67	and	and	CCONJ
ejpam-1597	216	68	implicitly	implicitly	ADV
ejpam-1597	216	69	adjusting	adjust	VERB
ejpam-1597	216	70	for	for	ADP
ejpam-1597	216	71	the	the	DET
ejpam-1597	216	72	number	number	NOUN
ejpam-1597	216	73	of	of	ADP
ejpam-1597	216	74	free	free	ADJ
ejpam-1597	216	75	parameters	parameter	NOUN
ejpam-1597	216	76	included	include	VERB
ejpam-1597	216	77	in	in	ADP
ejpam-1597	216	78	the	the	DET
ejpam-1597	216	79	model	model	NOUN
ejpam-1597	216	80	.	.	PUNCT
ejpam-1597	217	1	•	•	INTJ
ejpam-1597	217	2	it	it	PRON
ejpam-1597	217	3	is	be	AUX
ejpam-1597	217	4	an	an	DET
ejpam-1597	217	5	intrinsic	intrinsic	ADJ
ejpam-1597	217	6	measure	measure	NOUN
ejpam-1597	217	7	of	of	ADP
ejpam-1597	217	8	uncertainty	uncertainty	NOUN
ejpam-1597	217	9	,	,	PUNCT
ejpam-1597	217	10	and	and	CCONJ
ejpam-1597	217	11	,	,	PUNCT
ejpam-1597	217	12	furthermore	furthermore	ADV
ejpam-1597	217	13	,	,	PUNCT
ejpam-1597	217	14	it	it	PRON
ejpam-1597	217	15	is	be	AUX
ejpam-1597	217	16	a	a	DET
ejpam-1597	217	17	quality	quality	NOUN
ejpam-1597	217	18	metric	metric	NOUN
ejpam-1597	217	19	of	of	ADP
ejpam-1597	217	20	the	the	DET
ejpam-1597	217	21	estimation	estimation	NOUN
ejpam-1597	217	22	procedure	procedure	NOUN
ejpam-1597	217	23	.	.	PUNCT
ejpam-1597	218	1	for	for	ADP
ejpam-1597	218	2	more	more	ADJ
ejpam-1597	218	3	on	on	ADP
ejpam-1597	218	4	this	this	PRON
ejpam-1597	218	5	,	,	PUNCT
ejpam-1597	218	6	and	and	CCONJ
ejpam-1597	218	7	for	for	ADP
ejpam-1597	218	8	some	some	DET
ejpam-1597	218	9	immediate	immediate	ADJ
ejpam-1597	218	10	physical	physical	ADJ
ejpam-1597	218	11	motivation	motivation	NOUN
ejpam-1597	218	12	,	,	PUNCT
ejpam-1597	218	13	we	we	PRON
ejpam-1597	218	14	refer	refer	VERB
ejpam-1597	218	15	the	the	DET
ejpam-1597	218	16	readers	reader	NOUN
ejpam-1597	218	17	to	to	ADP
ejpam-1597	218	18	the	the	DET
ejpam-1597	218	19	interesting	interesting	ADJ
ejpam-1597	218	20	book	book	NOUN
ejpam-1597	218	21	by	by	ADP
ejpam-1597	218	22	[	[	X
ejpam-1597	218	23	14	14	NUM
ejpam-1597	218	24	]	]	PUNCT
ejpam-1597	218	25	.	.	PUNCT
ejpam-1597	219	1	also	also	ADV
ejpam-1597	219	2	,	,	PUNCT
ejpam-1597	219	3	see	see	VERB
ejpam-1597	219	4	,	,	PUNCT
ejpam-1597	219	5	[	[	X
ejpam-1597	219	6	12	12	NUM
ejpam-1597	219	7	]	]	PUNCT
ejpam-1597	219	8	and	and	CCONJ
ejpam-1597	219	9	[	[	X
ejpam-1597	219	10	32	32	NUM
ejpam-1597	219	11	,	,	PUNCT
ejpam-1597	219	12	33	33	NUM
ejpam-1597	219	13	,	,	PUNCT
ejpam-1597	219	14	34	34	NUM
ejpam-1597	219	15	]	]	PUNCT
ejpam-1597	219	16	.	.	PUNCT
ejpam-1597	220	1	•	•	NUM
ejpam-1597	220	2	icom	icom	PROPN
ejpam-1597	220	3	p(f̂−1	p(f̂−1	PROPN
ejpam-1597	220	4	)	)	PUNCT
ejpam-1597	220	5	contrasts	contrast	VERB
ejpam-1597	220	6	the	the	DET
ejpam-1597	220	7	trace	trace	NOUN
ejpam-1597	220	8	and	and	CCONJ
ejpam-1597	220	9	the	the	DET
ejpam-1597	220	10	determinant	determinant	NOUN
ejpam-1597	220	11	of	of	ADP
ejpam-1597	220	12	the	the	DET
ejpam-1597	220	13	ifim	ifim	NOUN
ejpam-1597	220	14	,	,	PUNCT
ejpam-1597	220	15	and	and	CCONJ
ejpam-1597	220	16	this	this	PRON
ejpam-1597	220	17	amounts	amount	VERB
ejpam-1597	220	18	to	to	ADP
ejpam-1597	220	19	a	a	DET
ejpam-1597	220	20	comparison	comparison	NOUN
ejpam-1597	220	21	of	of	ADP
ejpam-1597	220	22	the	the	DET
ejpam-1597	220	23	geometric	geometric	ADJ
ejpam-1597	220	24	and	and	CCONJ
ejpam-1597	220	25	arithmetic	arithmetic	ADJ
ejpam-1597	220	26	means	mean	NOUN
ejpam-1597	220	27	of	of	ADP
ejpam-1597	220	28	the	the	DET
ejpam-1597	220	29	eigenvalues	eigenvalue	NOUN
ejpam-1597	220	30	of	of	ADP
ejpam-1597	220	31	the	the	DET
ejpam-1597	220	32	ifim	ifim	NOUN
ejpam-1597	220	33	,	,	PUNCT
ejpam-1597	220	34	i.e.	i.e.	X
ejpam-1597	220	35	:	:	PUNCT
ejpam-1597	220	36	icom	icom	PROPN
ejpam-1597	220	37	p(f̂−1)−	p(f̂−1)−	PROPN
ejpam-1597	220	38	2	2	NUM
ejpam-1597	220	39	log	log	NOUN
ejpam-1597	220	40	l(θ̂m	l(θ̂m	NOUN
ejpam-1597	220	41	|	|	INTJ
ejpam-1597	220	42	y	y	NOUN
ejpam-1597	220	43	)	)	PUNCT
ejpam-1597	221	1	+	+	CCONJ
ejpam-1597	221	2	2	2	NUM
ejpam-1597	221	3	log	log	NOUN
ejpam-1597	221	4	λa	λa	INTJ
ejpam-1597	221	5	λg	λg	INTJ
ejpam-1597	221	6	.	.	PUNCT
ejpam-1597	222	1	(	(	PUNCT
ejpam-1597	222	2	27	27	NUM
ejpam-1597	222	3	)	)	PUNCT
ejpam-1597	222	4	this	this	PRON
ejpam-1597	222	5	looks	look	VERB
ejpam-1597	222	6	like	like	ADP
ejpam-1597	222	7	caic	caic	PROPN
ejpam-1597	222	8	of	of	ADP
ejpam-1597	222	9	[	[	X
ejpam-1597	222	10	5	5	NUM
ejpam-1597	222	11	]	]	PUNCT
ejpam-1597	222	12	,	,	PUNCT
ejpam-1597	222	13	m	m	VERB
ejpam-1597	222	14	dl	dl	INTJ
ejpam-1597	222	15	of	of	ADP
ejpam-1597	222	16	[	[	X
ejpam-1597	222	17	35	35	NUM
ejpam-1597	222	18	]	]	PUNCT
ejpam-1597	222	19	,	,	PUNCT
ejpam-1597	222	20	and	and	CCONJ
ejpam-1597	222	21	sbc	sbc	NOUN
ejpam-1597	222	22	of	of	ADP
ejpam-1597	222	23	[	[	X
ejpam-1597	222	24	37	37	NUM
ejpam-1597	222	25	]	]	PUNCT
ejpam-1597	222	26	,	,	PUNCT
ejpam-1597	222	27	with	with	ADP
ejpam-1597	222	28	the	the	DET
ejpam-1597	222	29	exception	exception	NOUN
ejpam-1597	222	30	that	that	PRON
ejpam-1597	222	31	log	log	VERB
ejpam-1597	222	32	n	n	PRON
ejpam-1597	222	33	is	be	AUX
ejpam-1597	222	34	replaced	replace	VERB
ejpam-1597	222	35	with	with	ADP
ejpam-1597	222	36	log	log	PROPN
ejpam-1597	222	37	λa	λa	INTJ
ejpam-1597	222	38	λg	λg	NOUN
ejpam-1597	222	39	.	.	PUNCT
ejpam-1597	223	1	3.1.2	3.1.2	X
ejpam-1597	223	2	.	.	PUNCT
ejpam-1597	224	1	icom	icom	PROPN
ejpam-1597	224	2	p	p	PROPN
ejpam-1597	224	3	as	as	ADP
ejpam-1597	224	4	an	an	DET
ejpam-1597	224	5	estimate	estimate	NOUN
ejpam-1597	224	6	of	of	ADP
ejpam-1597	224	7	posterior	posterior	ADJ
ejpam-1597	224	8	expected	expect	VERB
ejpam-1597	224	9	utility	utility	NOUN
ejpam-1597	224	10	following	follow	VERB
ejpam-1597	224	11	the	the	DET
ejpam-1597	224	12	results	result	NOUN
ejpam-1597	224	13	from	from	ADP
ejpam-1597	224	14	[	[	X
ejpam-1597	224	15	9	9	NUM
ejpam-1597	224	16	]	]	PUNCT
ejpam-1597	224	17	,	,	PUNCT
ejpam-1597	224	18	we	we	PRON
ejpam-1597	224	19	make	make	VERB
ejpam-1597	224	20	the	the	DET
ejpam-1597	224	21	following	follow	VERB
ejpam-1597	224	22	proposition	proposition	NOUN
ejpam-1597	224	23	.	.	PUNCT
ejpam-1597	225	1	proposition	proposition	NOUN
ejpam-1597	225	2	2	2	NUM
ejpam-1597	225	3	.	.	PUNCT
ejpam-1597	225	4	icom	icom	PROPN
ejpam-1597	225	5	p	p	PROPN
ejpam-1597	225	6	as	as	ADP
ejpam-1597	225	7	a	a	DET
ejpam-1597	225	8	bayesian	bayesian	NOUN
ejpam-1597	225	9	criterion	criterion	NOUN
ejpam-1597	225	10	close	close	ADV
ejpam-1597	225	11	to	to	ADP
ejpam-1597	225	12	maximizing	maximize	VERB
ejpam-1597	225	13	a	a	DET
ejpam-1597	225	14	posterior	posterior	ADJ
ejpam-1597	225	15	expected	expect	VERB
ejpam-1597	225	16	utility	utility	NOUN
ejpam-1597	225	17	(	(	PUNCT
ejpam-1597	225	18	peu	peu	NOUN
ejpam-1597	225	19	)	)	PUNCT
ejpam-1597	225	20	is	be	AUX
ejpam-1597	225	21	given	give	VERB
ejpam-1597	225	22	by	by	ADP
ejpam-1597	225	23	icom	icom	PROPN
ejpam-1597	225	24	ppeu	ppeu	PROPN
ejpam-1597	225	25	=	=	PUNCT
ejpam-1597	225	26	−2	−2	NOUN
ejpam-1597	225	27	log	log	NOUN
ejpam-1597	225	28	l(θ̂m	l(θ̂m	NOUN
ejpam-1597	226	1	|	|	INTJ
ejpam-1597	226	2	y	y	NOUN
ejpam-1597	226	3	)	)	PUNCT
ejpam-1597	227	1	+	+	NOUN
ejpam-1597	227	2	m+	m+	NOUN
ejpam-1597	227	3	2c1(f̂−1	2c1(f̂−1	NUM
ejpam-1597	227	4	)	)	PUNCT
ejpam-1597	227	5	.	.	PUNCT
ejpam-1597	228	1	(	(	PUNCT
ejpam-1597	228	2	28	28	NUM
ejpam-1597	228	3	)	)	PUNCT
ejpam-1597	228	4	h.	h.	NOUN
ejpam-1597	228	5	bozdogan	bozdogan	PROPN
ejpam-1597	228	6	,	,	PUNCT
ejpam-1597	228	7	j.	j.	PROPN
ejpam-1597	228	8	howe	howe	PROPN
ejpam-1597	228	9	/	/	SYM
ejpam-1597	228	10	eur	eur	PROPN
ejpam-1597	228	11	.	.	PUNCT
ejpam-1597	229	1	j.	j.	PROPN
ejpam-1597	229	2	pure	pure	PROPN
ejpam-1597	229	3	appl	appl	PROPN
ejpam-1597	229	4	.	.	PROPN
ejpam-1597	229	5	math	math	PROPN
ejpam-1597	229	6	,	,	PUNCT
ejpam-1597	229	7	5	5	NUM
ejpam-1597	229	8	(	(	PUNCT
ejpam-1597	229	9	2012	2012	NUM
ejpam-1597	229	10	)	)	PUNCT
ejpam-1597	229	11	,	,	PUNCT
ejpam-1597	229	12	211	211	NUM
ejpam-1597	229	13	-	-	SYM
ejpam-1597	229	14	249	249	NUM
ejpam-1597	229	15	221	221	NUM
ejpam-1597	229	16	proof	proof	NOUN
ejpam-1597	229	17	.	.	PUNCT
ejpam-1597	230	1	consider	consider	VERB
ejpam-1597	230	2	•	•	NOUN
ejpam-1597	230	3	let	let	VERB
ejpam-1597	230	4	l(θm	l(θm	PROPN
ejpam-1597	230	5	|	|	NOUN
ejpam-1597	230	6	y	y	NOUN
ejpam-1597	230	7	)	)	PUNCT
ejpam-1597	230	8	be	be	VERB
ejpam-1597	230	9	the	the	DET
ejpam-1597	230	10	likelihood	likelihood	NOUN
ejpam-1597	230	11	function	function	NOUN
ejpam-1597	230	12	of	of	ADP
ejpam-1597	230	13	the	the	DET
ejpam-1597	230	14	parameter	parameter	NOUN
ejpam-1597	230	15	vector	vector	NOUN
ejpam-1597	230	16	for	for	ADP
ejpam-1597	230	17	a	a	DET
ejpam-1597	230	18	given	give	VERB
ejpam-1597	230	19	vector	vector	NOUN
ejpam-1597	230	20	y	y	PROPN
ejpam-1597	230	21	of	of	ADP
ejpam-1597	230	22	observations	observation	NOUN
ejpam-1597	230	23	.	.	PUNCT
ejpam-1597	231	1	•	•	NUM
ejpam-1597	231	2	let	let	VERB
ejpam-1597	231	3	fprior(θ	fprior(θ	NOUN
ejpam-1597	231	4	|	|	ADV
ejpam-1597	231	5	m	m	NOUN
ejpam-1597	231	6	)	)	PUNCT
ejpam-1597	231	7	denote	denote	VERB
ejpam-1597	231	8	the	the	DET
ejpam-1597	231	9	prior	prior	ADJ
ejpam-1597	231	10	density	density	NOUN
ejpam-1597	231	11	function	function	NOUN
ejpam-1597	231	12	of	of	ADP
ejpam-1597	231	13	θ	θ	PROPN
ejpam-1597	231	14	on	on	ADP
ejpam-1597	231	15	the	the	DET
ejpam-1597	231	16	model	model	NOUN
ejpam-1597	231	17	m	m	NOUN
ejpam-1597	231	18	;	;	PUNCT
ejpam-1597	231	19	fpost(θ	fpost(θ	VERB
ejpam-1597	231	20	|	|	NOUN
ejpam-1597	231	21	y	y	NOUN
ejpam-1597	231	22	)	)	PUNCT
ejpam-1597	231	23	is	be	AUX
ejpam-1597	231	24	the	the	DET
ejpam-1597	231	25	corresponding	corresponding	ADJ
ejpam-1597	231	26	posterior	posterior	ADJ
ejpam-1597	231	27	density	density	NOUN
ejpam-1597	231	28	.	.	PUNCT
ejpam-1597	232	1	•	•	INTJ
ejpam-1597	232	2	let	let	VERB
ejpam-1597	232	3	f	f	PROPN
ejpam-1597	232	4	(	(	PUNCT
ejpam-1597	232	5	θm	θm	PROPN
ejpam-1597	232	6	)	)	PUNCT
ejpam-1597	232	7	denote	denote	VERB
ejpam-1597	232	8	the	the	DET
ejpam-1597	232	9	fisher	fisher	PROPN
ejpam-1597	232	10	information	information	NOUN
ejpam-1597	232	11	matrix	matrix	NOUN
ejpam-1597	232	12	for	for	ADP
ejpam-1597	232	13	the	the	DET
ejpam-1597	232	14	n	n	PRON
ejpam-1597	232	15	observations	observation	NOUN
ejpam-1597	232	16	corresponding	correspond	VERB
ejpam-1597	232	17	to	to	ADP
ejpam-1597	232	18	model	model	NOUN
ejpam-1597	232	19	m	m	PROPN
ejpam-1597	232	20	,	,	PUNCT
ejpam-1597	232	21	and	and	CCONJ
ejpam-1597	232	22	let	let	VERB
ejpam-1597	232	23	m	m	PRON
ejpam-1597	232	24	be	be	AUX
ejpam-1597	232	25	the	the	DET
ejpam-1597	232	26	dimension	dimension	NOUN
ejpam-1597	232	27	of	of	ADP
ejpam-1597	232	28	m	m	PRON
ejpam-1597	232	29	.	.	PUNCT
ejpam-1597	233	1	following	follow	VERB
ejpam-1597	233	2	[	[	X
ejpam-1597	233	3	30	30	NUM
ejpam-1597	233	4	]	]	PUNCT
ejpam-1597	233	5	,	,	PUNCT
ejpam-1597	233	6	we	we	PRON
ejpam-1597	233	7	consider	consider	VERB
ejpam-1597	233	8	the	the	DET
ejpam-1597	233	9	kl	kl	NOUN
ejpam-1597	233	10	distance	distance	NOUN
ejpam-1597	233	11	between	between	ADP
ejpam-1597	233	12	the	the	DET
ejpam-1597	233	13	posterior	posterior	NOUN
ejpam-1597	233	14	and	and	CCONJ
ejpam-1597	233	15	the	the	DET
ejpam-1597	233	16	prior	prior	ADJ
ejpam-1597	233	17	densities	density	NOUN
ejpam-1597	233	18	for	for	ADP
ejpam-1597	233	19	model	model	NOUN
ejpam-1597	233	20	m	m	AUX
ejpam-1597	233	21	given	give	VERB
ejpam-1597	233	22	by	by	ADP
ejpam-1597	233	23	k	k	PROPN
ejpam-1597	233	24	l	l	PROPN
ejpam-1597	233	25	(	(	PUNCT
ejpam-1597	233	26	fpost(θ	fpost(θ	VERB
ejpam-1597	233	27	|	|	NOUN
ejpam-1597	233	28	y	y	PROPN
ejpam-1597	233	29	)	)	PUNCT
ejpam-1597	233	30	,	,	PUNCT
ejpam-1597	233	31	fprior(θ	fprior(θ	VERB
ejpam-1597	233	32	|	|	ADV
ejpam-1597	233	33	m	m	NOUN
ejpam-1597	233	34	)	)	PUNCT
ejpam-1597	233	35	)	)	PUNCT
ejpam-1597	234	1	=	=	SYM
ejpam-1597	234	2	∫	∫	PROPN
ejpam-1597	235	1	θm	θm	INTJ
ejpam-1597	235	2	fpost(θ	fpost(θ	VERB
ejpam-1597	235	3	|	|	NOUN
ejpam-1597	235	4	y	y	NOUN
ejpam-1597	235	5	)	)	PUNCT
ejpam-1597	235	6	log	log	NOUN
ejpam-1597	235	7	fpost(θ	fpost(θ	NOUN
ejpam-1597	235	8	|	|	ADV
ejpam-1597	236	1	y)dθ	y)dθ	PROPN
ejpam-1597	236	2	−	−	PROPN
ejpam-1597	236	3	∫	∫	NOUN
ejpam-1597	236	4	θm	θm	PROPN
ejpam-1597	236	5	fpost(θ	fpost(θ	VERB
ejpam-1597	236	6	|	|	NOUN
ejpam-1597	236	7	y	y	NOUN
ejpam-1597	236	8	)	)	PUNCT
ejpam-1597	236	9	log	log	NOUN
ejpam-1597	236	10	fprior(θ	fprior(θ	VERB
ejpam-1597	236	11	|	|	ADV
ejpam-1597	237	1	m)dθ	m)dθ	PROPN
ejpam-1597	237	2	=	=	PUNCT
ejpam-1597	237	3	h	h	NOUN
ejpam-1597	237	4	(	(	PUNCT
ejpam-1597	237	5	fpost(θ	fpost(θ	AUX
ejpam-1597	237	6	|	|	ADV
ejpam-1597	237	7	y))−	y))−	NOUN
ejpam-1597	237	8	∫	∫	NOUN
ejpam-1597	237	9	θm	θm	ADP
ejpam-1597	237	10	fpost(θ	fpost(θ	VERB
ejpam-1597	237	11	|	|	ADV
ejpam-1597	237	12	y	y	NOUN
ejpam-1597	237	13	)	)	PUNCT
ejpam-1597	237	14	log	log	NOUN
ejpam-1597	237	15	fprior(θ	fprior(θ	VERB
ejpam-1597	237	16	|	|	ADV
ejpam-1597	238	1	m)dθ	m)dθ	PROPN
ejpam-1597	238	2	.	.	PUNCT
ejpam-1597	239	1	(	(	PUNCT
ejpam-1597	239	2	29	29	NUM
ejpam-1597	239	3	)	)	PUNCT
ejpam-1597	239	4	further	far	ADV
ejpam-1597	239	5	following	follow	VERB
ejpam-1597	239	6	poskitt	poskitt	VERB
ejpam-1597	239	7	’s	’s	PART
ejpam-1597	239	8	arguments	argument	NOUN
ejpam-1597	239	9	,	,	PUNCT
ejpam-1597	239	10	under	under	ADP
ejpam-1597	239	11	regularity	regularity	NOUN
ejpam-1597	239	12	conditions	condition	NOUN
ejpam-1597	239	13	which	which	PRON
ejpam-1597	239	14	guarantee	guarantee	VERB
ejpam-1597	239	15	the	the	DET
ejpam-1597	239	16	asymptotic	asymptotic	ADJ
ejpam-1597	239	17	normality	normality	NOUN
ejpam-1597	239	18	of	of	ADP
ejpam-1597	239	19	the	the	DET
ejpam-1597	239	20	posterior	posterior	ADJ
ejpam-1597	239	21	distribution	distribution	NOUN
ejpam-1597	239	22	,	,	PUNCT
ejpam-1597	239	23	that	that	ADV
ejpam-1597	239	24	is	is	ADV
ejpam-1597	239	25	,	,	PUNCT
ejpam-1597	239	26	when	when	SCONJ
ejpam-1597	239	27	fpost(θ	fpost(θ	VERB
ejpam-1597	239	28	|	|	NOUN
ejpam-1597	239	29	y	y	NOUN
ejpam-1597	239	30	)	)	PUNCT
ejpam-1597	239	31	∼=	∼=	VERB
ejpam-1597	239	32	n(θ̂	n(θ̂	ADV
ejpam-1597	239	33	,	,	PUNCT
ejpam-1597	239	34	σ(θ̂	σ(θ̂	NOUN
ejpam-1597	239	35	)	)	PUNCT
ejpam-1597	239	36	=	=	SYM
ejpam-1597	239	37	f̂−1	f̂−1	PROPN
ejpam-1597	239	38	)	)	PUNCT
ejpam-1597	239	39	,	,	PUNCT
ejpam-1597	239	40	(	(	PUNCT
ejpam-1597	239	41	30	30	X
ejpam-1597	239	42	)	)	PUNCT
ejpam-1597	239	43	it	it	PRON
ejpam-1597	239	44	can	can	AUX
ejpam-1597	239	45	be	be	AUX
ejpam-1597	239	46	shown	show	VERB
ejpam-1597	239	47	that	that	SCONJ
ejpam-1597	239	48	k	k	PROPN
ejpam-1597	239	49	l	l	PROPN
ejpam-1597	239	50	(	(	PUNCT
ejpam-1597	239	51	fpost(θ	fpost(θ	VERB
ejpam-1597	239	52	|	|	NOUN
ejpam-1597	239	53	y	y	PROPN
ejpam-1597	239	54	)	)	PUNCT
ejpam-1597	239	55	,	,	PUNCT
ejpam-1597	239	56	fprior	fprior	NOUN
ejpam-1597	239	57	(	(	PUNCT
ejpam-1597	239	58	θ	θ	PROPN
ejpam-1597	239	59	|	|	ADV
ejpam-1597	239	60	m	m	NOUN
ejpam-1597	239	61	)	)	PUNCT
ejpam-1597	239	62	)	)	PUNCT
ejpam-1597	240	1	=	=	PUNCT
ejpam-1597	241	1	−	−	PROPN
ejpam-1597	241	2	m	m	VERB
ejpam-1597	241	3	2	2	NUM
ejpam-1597	241	4	log(2π)−	log(2π)−	X
ejpam-1597	241	5	m	m	PROPN
ejpam-1597	241	6	2	2	NUM
ejpam-1597	241	7	−	−	NOUN
ejpam-1597	241	8	1	1	NUM
ejpam-1597	241	9	2	2	NUM
ejpam-1597	241	10	log	log	NOUN
ejpam-1597	241	11	|f̂−1|	|f̂−1|	NOUN
ejpam-1597	242	1	−	−	NOUN
ejpam-1597	242	2	log	log	NOUN
ejpam-1597	242	3	fprior(θ	fprior(θ	VERB
ejpam-1597	242	4	|	|	ADV
ejpam-1597	242	5	m	m	NOUN
ejpam-1597	242	6	)	)	PUNCT
ejpam-1597	242	7	.	.	PUNCT
ejpam-1597	243	1	(	(	PUNCT
ejpam-1597	243	2	31	31	NUM
ejpam-1597	243	3	)	)	PUNCT
ejpam-1597	243	4	one	one	PRON
ejpam-1597	243	5	can	can	AUX
ejpam-1597	243	6	argue	argue	VERB
ejpam-1597	243	7	,	,	PUNCT
ejpam-1597	243	8	as	as	SCONJ
ejpam-1597	243	9	did	do	AUX
ejpam-1597	243	10	poskitt	poskitt	VERB
ejpam-1597	243	11	,	,	PUNCT
ejpam-1597	243	12	that	that	SCONJ
ejpam-1597	243	13	a	a	DET
ejpam-1597	243	14	utility	utility	NOUN
ejpam-1597	243	15	u1	u1	NOUN
ejpam-1597	243	16	can	can	AUX
ejpam-1597	243	17	be	be	AUX
ejpam-1597	243	18	defined	define	VERB
ejpam-1597	243	19	as	as	ADP
ejpam-1597	243	20	log	log	NOUN
ejpam-1597	243	21	u1	u1	NOUN
ejpam-1597	243	22	=	=	PUNCT
ejpam-1597	243	23	the	the	DET
ejpam-1597	243	24	kl	kl	PROPN
ejpam-1597	243	25	distance	distance	NOUN
ejpam-1597	243	26	given	give	VERB
ejpam-1597	243	27	by	by	ADP
ejpam-1597	243	28	(	(	PUNCT
ejpam-1597	243	29	31	31	NUM
ejpam-1597	243	30	)	)	PUNCT
ejpam-1597	243	31	.	.	PUNCT
ejpam-1597	244	1	in	in	ADP
ejpam-1597	244	2	bayesian	bayesian	NOUN
ejpam-1597	244	3	design	design	NOUN
ejpam-1597	244	4	of	of	ADP
ejpam-1597	244	5	experiments	experiment	NOUN
ejpam-1597	244	6	,	,	PUNCT
ejpam-1597	244	7	following	follow	VERB
ejpam-1597	244	8	the	the	DET
ejpam-1597	244	9	suggestion	suggestion	NOUN
ejpam-1597	244	10	of	of	ADP
ejpam-1597	244	11	[	[	X
ejpam-1597	244	12	25	25	NUM
ejpam-1597	244	13	]	]	PUNCT
ejpam-1597	244	14	,	,	PUNCT
ejpam-1597	244	15	several	several	ADJ
ejpam-1597	244	16	authors	author	NOUN
ejpam-1597	244	17	have	have	AUX
ejpam-1597	244	18	considered	consider	VERB
ejpam-1597	244	19	the	the	DET
ejpam-1597	244	20	kullback	kullback	NOUN
ejpam-1597	244	21	-	-	PUNCT
ejpam-1597	244	22	liebler	liebler	NOUN
ejpam-1597	244	23	divergence	divergence	NOUN
ejpam-1597	244	24	as	as	ADP
ejpam-1597	244	25	a	a	DET
ejpam-1597	244	26	utility	utility	NOUN
ejpam-1597	244	27	function	function	NOUN
ejpam-1597	244	28	.	.	PUNCT
ejpam-1597	245	1	for	for	ADP
ejpam-1597	245	2	more	more	ADJ
ejpam-1597	245	3	on	on	ADP
ejpam-1597	245	4	this	this	PRON
ejpam-1597	245	5	,	,	PUNCT
ejpam-1597	245	6	see	see	VERB
ejpam-1597	245	7	[	[	X
ejpam-1597	245	8	10	10	NUM
ejpam-1597	245	9	]	]	PUNCT
ejpam-1597	245	10	.	.	PUNCT
ejpam-1597	246	1	in	in	ADP
ejpam-1597	246	2	our	our	PRON
ejpam-1597	246	3	case	case	NOUN
ejpam-1597	246	4	,	,	PUNCT
ejpam-1597	246	5	we	we	PRON
ejpam-1597	246	6	propose	propose	VERB
ejpam-1597	246	7	to	to	PART
ejpam-1597	246	8	multiply	multiply	VERB
ejpam-1597	246	9	the	the	DET
ejpam-1597	246	10	utility	utility	NOUN
ejpam-1597	246	11	u1	u1	NOUN
ejpam-1597	246	12	by	by	ADP
ejpam-1597	246	13	a	a	DET
ejpam-1597	246	14	utility	utility	NOUN
ejpam-1597	246	15	u2	u2	NOUN
ejpam-1597	246	16	equal	equal	ADJ
ejpam-1597	246	17	to	to	ADP
ejpam-1597	246	18	u2	u2	PROPN
ejpam-1597	246	19	=	=	PUNCT
ejpam-1597	246	20	exp	exp	NOUN
ejpam-1597	246	21	�	�	PROPN
ejpam-1597	246	22	−a×	−a×	SYM
ejpam-1597	246	23	c1(f̂−1	c1(f̂−1	PROPN
ejpam-1597	246	24	)	)	PUNCT
ejpam-1597	246	25	�	�	PROPN
ejpam-1597	246	26	.	.	PUNCT
ejpam-1597	247	1	(	(	PUNCT
ejpam-1597	247	2	32	32	NUM
ejpam-1597	247	3	)	)	PUNCT
ejpam-1597	247	4	if	if	SCONJ
ejpam-1597	247	5	we	we	PRON
ejpam-1597	247	6	have	have	VERB
ejpam-1597	247	7	a	a	DET
ejpam-1597	247	8	=	=	SYM
ejpam-1597	247	9	1	1	NUM
ejpam-1597	247	10	,	,	PUNCT
ejpam-1597	247	11	our	our	PRON
ejpam-1597	247	12	utility	utility	NOUN
ejpam-1597	247	13	is	be	AUX
ejpam-1597	247	14	u	u	NOUN
ejpam-1597	247	15	=	=	NOUN
ejpam-1597	247	16	u1	u1	PROPN
ejpam-1597	247	17	×	×	PROPN
ejpam-1597	247	18	u2	u2	NOUN
ejpam-1597	247	19	,	,	PUNCT
ejpam-1597	247	20	and	and	CCONJ
ejpam-1597	247	21	the	the	DET
ejpam-1597	247	22	log	log	NOUN
ejpam-1597	247	23	of	of	ADP
ejpam-1597	247	24	that	that	DET
ejpam-1597	247	25	utility	utility	NOUN
ejpam-1597	247	26	equals	equal	VERB
ejpam-1597	247	27	:	:	PUNCT
ejpam-1597	247	28	log(u	log(u	PROPN
ejpam-1597	247	29	)	)	PUNCT
ejpam-1597	248	1	=	=	SYM
ejpam-1597	248	2	−m	−m	ADJ
ejpam-1597	248	3	2	2	NUM
ejpam-1597	248	4	log(2π)−	log(2π)−	X
ejpam-1597	248	5	m	m	PROPN
ejpam-1597	248	6	2	2	NUM
ejpam-1597	248	7	−	−	NOUN
ejpam-1597	248	8	1	1	NUM
ejpam-1597	248	9	2	2	NUM
ejpam-1597	248	10	log	log	NOUN
ejpam-1597	248	11	|f̂−1|	|f̂−1|	NOUN
ejpam-1597	249	1	−	−	NOUN
ejpam-1597	249	2	log	log	NOUN
ejpam-1597	249	3	fprior(θ	fprior(θ	VERB
ejpam-1597	249	4	|	|	ADV
ejpam-1597	249	5	m)−	m)−	PROPN
ejpam-1597	249	6	c1(f̂−1	c1(f̂−1	PROPN
ejpam-1597	249	7	)	)	PUNCT
ejpam-1597	249	8	,	,	PUNCT
ejpam-1597	249	9	(	(	PUNCT
ejpam-1597	249	10	33	33	NUM
ejpam-1597	249	11	)	)	PUNCT
ejpam-1597	249	12	which	which	PRON
ejpam-1597	249	13	is	be	AUX
ejpam-1597	249	14	the	the	DET
ejpam-1597	249	15	difference	difference	NOUN
ejpam-1597	249	16	of	of	ADP
ejpam-1597	249	17	kl	kl	PROPN
ejpam-1597	249	18	distances	distance	NOUN
ejpam-1597	249	19	.	.	PUNCT
ejpam-1597	250	1	note	note	VERB
ejpam-1597	250	2	that	that	SCONJ
ejpam-1597	250	3	our	our	PRON
ejpam-1597	250	4	utility	utility	NOUN
ejpam-1597	250	5	u2	u2	NOUN
ejpam-1597	250	6	is	be	AUX
ejpam-1597	250	7	slightly	slightly	ADV
ejpam-1597	250	8	different	different	ADJ
ejpam-1597	250	9	from	from	ADP
ejpam-1597	250	10	that	that	PRON
ejpam-1597	250	11	used	use	VERB
ejpam-1597	250	12	by	by	ADP
ejpam-1597	250	13	poskitt	poskitt	VERB
ejpam-1597	250	14	.	.	PUNCT
ejpam-1597	251	1	his	his	PRON
ejpam-1597	251	2	utility	utility	NOUN
ejpam-1597	251	3	u2	u2	NOUN
ejpam-1597	251	4	uses	use	VERB
ejpam-1597	251	5	only	only	ADV
ejpam-1597	251	6	the	the	DET
ejpam-1597	251	7	trace	trace	NOUN
ejpam-1597	251	8	term	term	NOUN
ejpam-1597	251	9	in	in	ADP
ejpam-1597	251	10	the	the	DET
ejpam-1597	251	11	expression	expression	NOUN
ejpam-1597	251	12	of	of	ADP
ejpam-1597	251	13	the	the	DET
ejpam-1597	251	14	complexity	complexity	NOUN
ejpam-1597	251	15	,	,	PUNCT
ejpam-1597	251	16	and	and	CCONJ
ejpam-1597	251	17	does	do	AUX
ejpam-1597	251	18	not	not	PART
ejpam-1597	251	19	contrast	contrast	VERB
ejpam-1597	251	20	the	the	DET
ejpam-1597	251	21	determinant	determinant	ADJ
ejpam-1597	251	22	with	with	ADP
ejpam-1597	251	23	the	the	DET
ejpam-1597	251	24	trace	trace	NOUN
ejpam-1597	251	25	.	.	PUNCT
ejpam-1597	252	1	the	the	DET
ejpam-1597	252	2	trace	trace	NOUN
ejpam-1597	252	3	involves	involve	VERB
ejpam-1597	252	4	only	only	ADV
ejpam-1597	252	5	the	the	DET
ejpam-1597	252	6	diagonal	diagonal	ADJ
ejpam-1597	252	7	elements	element	NOUN
ejpam-1597	252	8	,	,	PUNCT
ejpam-1597	252	9	analogous	analogous	ADJ
ejpam-1597	252	10	to	to	ADP
ejpam-1597	252	11	variances	variance	NOUN
ejpam-1597	252	12	,	,	PUNCT
ejpam-1597	252	13	while	while	SCONJ
ejpam-1597	252	14	the	the	DET
ejpam-1597	252	15	determinant	determinant	ADJ
ejpam-1597	252	16	involves	involve	VERB
ejpam-1597	252	17	also	also	ADV
ejpam-1597	252	18	the	the	DET
ejpam-1597	252	19	off	off	ADV
ejpam-1597	252	20	-	-	PUNCT
ejpam-1597	252	21	diagonal	diagonal	ADJ
ejpam-1597	252	22	elements	element	NOUN
ejpam-1597	252	23	,	,	PUNCT
ejpam-1597	252	24	analogous	analogous	ADJ
ejpam-1597	252	25	to	to	ADP
ejpam-1597	252	26	covariances	covariance	NOUN
ejpam-1597	252	27	.	.	PUNCT
ejpam-1597	253	1	our	our	PRON
ejpam-1597	253	2	utility	utility	NOUN
ejpam-1597	253	3	amounts	amount	VERB
ejpam-1597	253	4	to	to	ADP
ejpam-1597	253	5	a	a	DET
ejpam-1597	253	6	comparison	comparison	NOUN
ejpam-1597	253	7	of	of	ADP
ejpam-1597	253	8	the	the	DET
ejpam-1597	253	9	geometric	geometric	ADJ
ejpam-1597	253	10	and	and	CCONJ
ejpam-1597	253	11	h.	h.	PROPN
ejpam-1597	253	12	bozdogan	bozdogan	PROPN
ejpam-1597	253	13	,	,	PUNCT
ejpam-1597	253	14	j.	j.	PROPN
ejpam-1597	253	15	howe	howe	PROPN
ejpam-1597	253	16	/	/	SYM
ejpam-1597	253	17	eur	eur	PROPN
ejpam-1597	253	18	.	.	PUNCT
ejpam-1597	254	1	j.	j.	PROPN
ejpam-1597	254	2	pure	pure	PROPN
ejpam-1597	254	3	appl	appl	PROPN
ejpam-1597	254	4	.	.	PROPN
ejpam-1597	254	5	math	math	PROPN
ejpam-1597	254	6	,	,	PUNCT
ejpam-1597	254	7	5	5	NUM
ejpam-1597	254	8	(	(	PUNCT
ejpam-1597	254	9	2012	2012	NUM
ejpam-1597	254	10	)	)	PUNCT
ejpam-1597	254	11	,	,	PUNCT
ejpam-1597	254	12	211	211	NUM
ejpam-1597	254	13	-	-	SYM
ejpam-1597	254	14	249	249	NUM
ejpam-1597	254	15	222	222	NUM
ejpam-1597	254	16	arithmetic	arithmetic	ADJ
ejpam-1597	254	17	means	mean	NOUN
ejpam-1597	254	18	of	of	ADP
ejpam-1597	254	19	the	the	DET
ejpam-1597	254	20	eigenvalues	eigenvalue	NOUN
ejpam-1597	254	21	of	of	ADP
ejpam-1597	254	22	ifim	ifim	NOUN
ejpam-1597	254	23	already	already	ADV
ejpam-1597	254	24	shown	show	VERB
ejpam-1597	254	25	in	in	ADP
ejpam-1597	254	26	(	(	PUNCT
ejpam-1597	254	27	27	27	NUM
ejpam-1597	254	28	)	)	PUNCT
ejpam-1597	254	29	.	.	PUNCT
ejpam-1597	255	1	if	if	SCONJ
ejpam-1597	255	2	we	we	PRON
ejpam-1597	255	3	apply	apply	VERB
ejpam-1597	255	4	poskitt	poskitt	VERB
ejpam-1597	255	5	’s	’s	PART
ejpam-1597	255	6	corollary	corollary	ADJ
ejpam-1597	255	7	2.2	2.2	NUM
ejpam-1597	255	8	(	(	PUNCT
ejpam-1597	255	9	maximizing	maximize	VERB
ejpam-1597	255	10	posterior	posterior	ADJ
ejpam-1597	255	11	expected	expect	VERB
ejpam-1597	255	12	utility	utility	NOUN
ejpam-1597	255	13	)	)	PUNCT
ejpam-1597	255	14	,	,	PUNCT
ejpam-1597	255	15	or	or	CCONJ
ejpam-1597	255	16	the	the	DET
ejpam-1597	255	17	laplace	laplace	NOUN
ejpam-1597	255	18	expansion	expansion	NOUN
ejpam-1597	255	19	results	result	NOUN
ejpam-1597	255	20	of	of	ADP
ejpam-1597	255	21	[	[	X
ejpam-1597	255	22	21	21	NUM
ejpam-1597	255	23	]	]	PUNCT
ejpam-1597	255	24	,	,	PUNCT
ejpam-1597	255	25	it	it	PRON
ejpam-1597	255	26	follows	follow	VERB
ejpam-1597	255	27	that	that	SCONJ
ejpam-1597	255	28	,	,	PUNCT
ejpam-1597	255	29	under	under	ADP
ejpam-1597	255	30	some	some	DET
ejpam-1597	255	31	regularity	regularity	NOUN
ejpam-1597	255	32	conditions	condition	NOUN
ejpam-1597	255	33	,	,	PUNCT
ejpam-1597	255	34	if	if	SCONJ
ejpam-1597	255	35	the	the	DET
ejpam-1597	255	36	parameter	parameter	NOUN
ejpam-1597	255	37	vector	vector	NOUN
ejpam-1597	255	38	θ	θ	PROPN
ejpam-1597	255	39	lies	lie	VERB
ejpam-1597	255	40	in	in	ADP
ejpam-1597	255	41	model	model	NOUN
ejpam-1597	255	42	m	m	PROPN
ejpam-1597	255	43	,	,	PUNCT
ejpam-1597	255	44	the	the	DET
ejpam-1597	255	45	posterior	posterior	ADJ
ejpam-1597	255	46	expected	expect	VERB
ejpam-1597	255	47	utility	utility	NOUN
ejpam-1597	255	48	can	can	AUX
ejpam-1597	255	49	be	be	AUX
ejpam-1597	255	50	approximated	approximate	VERB
ejpam-1597	255	51	by	by	ADP
ejpam-1597	255	52	log(peu)∼=	log(peu)∼=	PROPN
ejpam-1597	255	53	log	log	NOUN
ejpam-1597	255	54	f	f	PROPN
ejpam-1597	255	55	(	(	PUNCT
ejpam-1597	255	56	y	y	PROPN
ejpam-1597	255	57	|	|	ADV
ejpam-1597	255	58	θ̂m	θ̂m	NOUN
ejpam-1597	255	59	)	)	PUNCT
ejpam-1597	256	1	+	+	CCONJ
ejpam-1597	256	2	m	m	PROPN
ejpam-1597	256	3	2	2	NUM
ejpam-1597	256	4	log(2π	log(2π	NOUN
ejpam-1597	256	5	)	)	PUNCT
ejpam-1597	257	1	+	+	CCONJ
ejpam-1597	257	2	1	1	NUM
ejpam-1597	257	3	2	2	NUM
ejpam-1597	257	4	log	log	NOUN
ejpam-1597	257	5	|f̂−1|+	|f̂−1|+	NOUN
ejpam-1597	257	6	log(u	log(u	PROPN
ejpam-1597	257	7	)	)	PUNCT
ejpam-1597	258	1	+	+	CCONJ
ejpam-1597	258	2	log	log	NOUN
ejpam-1597	258	3	fprior(θ̂m	fprior(θ̂m	NOUN
ejpam-1597	258	4	|	|	CCONJ
ejpam-1597	258	5	m	m	NOUN
ejpam-1597	258	6	)	)	PUNCT
ejpam-1597	258	7	,	,	PUNCT
ejpam-1597	258	8	(	(	PUNCT
ejpam-1597	258	9	34	34	NUM
ejpam-1597	258	10	)	)	PUNCT
ejpam-1597	258	11	up	up	ADP
ejpam-1597	258	12	to	to	PART
ejpam-1597	258	13	order	order	VERB
ejpam-1597	258	14	o	o	NOUN
ejpam-1597	258	15	(	(	PUNCT
ejpam-1597	258	16	1	1	NUM
ejpam-1597	258	17	n	n	NOUN
ejpam-1597	258	18	)	)	PUNCT
ejpam-1597	258	19	and	and	CCONJ
ejpam-1597	258	20	up	up	ADP
ejpam-1597	258	21	to	to	ADP
ejpam-1597	258	22	some	some	DET
ejpam-1597	258	23	terms	term	NOUN
ejpam-1597	258	24	which	which	PRON
ejpam-1597	258	25	do	do	AUX
ejpam-1597	258	26	not	not	PART
ejpam-1597	258	27	depend	depend	VERB
ejpam-1597	258	28	on	on	ADP
ejpam-1597	258	29	the	the	DET
ejpam-1597	258	30	model	model	NOUN
ejpam-1597	258	31	m	m	AUX
ejpam-1597	258	32	.	.	PUNCT
ejpam-1597	259	1	replacing	replace	VERB
ejpam-1597	259	2	log(u	log(u	PROPN
ejpam-1597	259	3	)	)	PUNCT
ejpam-1597	259	4	in	in	ADP
ejpam-1597	259	5	this	this	DET
ejpam-1597	259	6	equation	equation	NOUN
ejpam-1597	259	7	by	by	ADP
ejpam-1597	259	8	its	its	PRON
ejpam-1597	259	9	value	value	NOUN
ejpam-1597	259	10	in	in	ADP
ejpam-1597	259	11	(	(	PUNCT
ejpam-1597	259	12	33	33	NUM
ejpam-1597	259	13	)	)	PUNCT
ejpam-1597	259	14	,	,	PUNCT
ejpam-1597	259	15	some	some	DET
ejpam-1597	259	16	terms	term	NOUN
ejpam-1597	259	17	cancel	cancel	VERB
ejpam-1597	259	18	out	out	ADP
ejpam-1597	259	19	.	.	PUNCT
ejpam-1597	260	1	we	we	PRON
ejpam-1597	260	2	thus	thus	ADV
ejpam-1597	260	3	obtain	obtain	VERB
ejpam-1597	260	4	a	a	DET
ejpam-1597	260	5	criterion	criterion	NOUN
ejpam-1597	260	6	,	,	PUNCT
ejpam-1597	260	7	to	to	PART
ejpam-1597	260	8	be	be	AUX
ejpam-1597	260	9	maximized	maximize	VERB
ejpam-1597	260	10	to	to	PART
ejpam-1597	260	11	choose	choose	VERB
ejpam-1597	260	12	a	a	DET
ejpam-1597	260	13	model	model	NOUN
ejpam-1597	260	14	:	:	PUNCT
ejpam-1597	260	15	log	log	PROPN
ejpam-1597	260	16	f	f	X
ejpam-1597	260	17	(	(	PUNCT
ejpam-1597	260	18	y	y	PROPN
ejpam-1597	260	19	|	|	ADV
ejpam-1597	260	20	θ̂m	θ̂m	NOUN
ejpam-1597	260	21	)	)	PUNCT
ejpam-1597	260	22	−	−	PROPN
ejpam-1597	260	23	m	m	VERB
ejpam-1597	260	24	2	2	NUM
ejpam-1597	260	25	−	−	NOUN
ejpam-1597	260	26	c1(f̂−1	c1(f̂−1	NUM
ejpam-1597	260	27	)	)	PUNCT
ejpam-1597	261	1	+	+	CCONJ
ejpam-1597	261	2	log	log	NOUN
ejpam-1597	261	3	f	f	PROPN
ejpam-1597	261	4	(	(	PUNCT
ejpam-1597	261	5	m	m	PROPN
ejpam-1597	261	6	)	)	PUNCT
ejpam-1597	261	7	,	,	PUNCT
ejpam-1597	261	8	(	(	PUNCT
ejpam-1597	261	9	35	35	NUM
ejpam-1597	261	10	)	)	PUNCT
ejpam-1597	261	11	but	but	CCONJ
ejpam-1597	261	12	maximizing	maximize	VERB
ejpam-1597	261	13	this	this	PRON
ejpam-1597	261	14	is	be	AUX
ejpam-1597	261	15	equivalent	equivalent	ADJ
ejpam-1597	261	16	to	to	ADP
ejpam-1597	261	17	minimizing	minimize	VERB
ejpam-1597	261	18	icom	icom	PROPN
ejpam-1597	261	19	ppeu(f̂−1	ppeu(f̂−1	PROPN
ejpam-1597	261	20	)	)	PUNCT
ejpam-1597	261	21	,	,	PUNCT
ejpam-1597	261	22	given	give	VERB
ejpam-1597	261	23	by	by	ADP
ejpam-1597	261	24	icom	icom	PROPN
ejpam-1597	261	25	ppeu(f̂−1	ppeu(f̂−1	NOUN
ejpam-1597	261	26	)	)	PUNCT
ejpam-1597	262	1	=	=	NOUN
ejpam-1597	262	2	−2	−2	NOUN
ejpam-1597	262	3	log	log	NOUN
ejpam-1597	262	4	l(θ̂m	l(θ̂m	NOUN
ejpam-1597	262	5	|	|	INTJ
ejpam-1597	262	6	y	y	NOUN
ejpam-1597	262	7	)	)	PUNCT
ejpam-1597	263	1	+	+	NOUN
ejpam-1597	263	2	m+	m+	NOUN
ejpam-1597	263	3	2c1(f̂−1	2c1(f̂−1	NUM
ejpam-1597	263	4	)	)	PUNCT
ejpam-1597	264	1	+	+	CCONJ
ejpam-1597	264	2	log	log	NOUN
ejpam-1597	264	3	f	f	PROPN
ejpam-1597	264	4	(	(	PUNCT
ejpam-1597	264	5	m	m	PROPN
ejpam-1597	264	6	)	)	PUNCT
ejpam-1597	264	7	.	.	PUNCT
ejpam-1597	265	1	(	(	PUNCT
ejpam-1597	265	2	36	36	NUM
ejpam-1597	265	3	)	)	PUNCT
ejpam-1597	265	4	finally	finally	ADV
ejpam-1597	265	5	,	,	PUNCT
ejpam-1597	265	6	assuming	assume	VERB
ejpam-1597	265	7	that	that	SCONJ
ejpam-1597	265	8	f	f	PROPN
ejpam-1597	265	9	(	(	PUNCT
ejpam-1597	265	10	m	m	PROPN
ejpam-1597	265	11	)	)	PUNCT
ejpam-1597	265	12	is	be	AUX
ejpam-1597	265	13	constant	constant	ADJ
ejpam-1597	265	14	for	for	ADP
ejpam-1597	265	15	all	all	DET
ejpam-1597	265	16	models	model	NOUN
ejpam-1597	265	17	in	in	ADP
ejpam-1597	265	18	(	(	PUNCT
ejpam-1597	265	19	36	36	NUM
ejpam-1597	265	20	)	)	PUNCT
ejpam-1597	265	21	,	,	PUNCT
ejpam-1597	265	22	we	we	PRON
ejpam-1597	265	23	have	have	VERB
ejpam-1597	265	24	icom	icom	PROPN
ejpam-1597	265	25	ppeu(f̂−1	ppeu(f̂−1	NOUN
ejpam-1597	265	26	)	)	PUNCT
ejpam-1597	266	1	=	=	SYM
ejpam-1597	267	1	−2	−2	NOUN
ejpam-1597	267	2	log	log	VERB
ejpam-1597	267	3	l(θ̂m	l(θ̂m	NOUN
ejpam-1597	268	1	|	|	INTJ
ejpam-1597	268	2	y	y	NOUN
ejpam-1597	268	3	)	)	PUNCT
ejpam-1597	269	1	+	+	NOUN
ejpam-1597	269	2	m+	m+	NOUN
ejpam-1597	269	3	2c1(f̂−1	2c1(f̂−1	NUM
ejpam-1597	269	4	)	)	PUNCT
ejpam-1597	269	5	.	.	PUNCT
ejpam-1597	270	1	(	(	PUNCT
ejpam-1597	270	2	37	37	NUM
ejpam-1597	270	3	)	)	PUNCT
ejpam-1597	270	4	note	note	VERB
ejpam-1597	270	5	that	that	SCONJ
ejpam-1597	270	6	when	when	SCONJ
ejpam-1597	270	7	we	we	PRON
ejpam-1597	270	8	defined	define	VERB
ejpam-1597	270	9	the	the	DET
ejpam-1597	270	10	utility	utility	NOUN
ejpam-1597	270	11	u2	u2	NOUN
ejpam-1597	270	12	=	=	PUNCT
ejpam-1597	270	13	exp	exp	NOUN
ejpam-1597	270	14	�	�	PROPN
ejpam-1597	270	15	−a×	−a×	SYM
ejpam-1597	270	16	c1(f̂−1	c1(f̂−1	ADJ
ejpam-1597	270	17	)	)	PUNCT
ejpam-1597	270	18	�	�	PROPN
ejpam-1597	270	19	,	,	PUNCT
ejpam-1597	270	20	(	(	PUNCT
ejpam-1597	270	21	38	38	NUM
ejpam-1597	270	22	)	)	PUNCT
ejpam-1597	270	23	we	we	PRON
ejpam-1597	270	24	considered	consider	VERB
ejpam-1597	270	25	the	the	DET
ejpam-1597	270	26	constant	constant	ADJ
ejpam-1597	270	27	multiplier	multipli	ADJ
ejpam-1597	270	28	a	a	PRON
ejpam-1597	270	29	to	to	PART
ejpam-1597	270	30	be	be	AUX
ejpam-1597	270	31	1	1	NUM
ejpam-1597	270	32	in	in	ADP
ejpam-1597	270	33	obtaining	obtain	VERB
ejpam-1597	270	34	the	the	DET
ejpam-1597	270	35	result	result	NOUN
ejpam-1597	270	36	shown	show	VERB
ejpam-1597	270	37	above	above	ADV
ejpam-1597	270	38	.	.	PUNCT
ejpam-1597	271	1	indeed	indeed	ADV
ejpam-1597	271	2	other	other	ADJ
ejpam-1597	271	3	choices	choice	NOUN
ejpam-1597	271	4	of	of	ADP
ejpam-1597	271	5	a	a	PRON
ejpam-1597	271	6	are	be	AUX
ejpam-1597	271	7	possible	possible	ADJ
ejpam-1597	271	8	and	and	CCONJ
ejpam-1597	271	9	equally	equally	ADV
ejpam-1597	271	10	justifiable	justifiable	ADJ
ejpam-1597	271	11	,	,	PUNCT
ejpam-1597	271	12	giving	give	VERB
ejpam-1597	271	13	rise	rise	NOUN
ejpam-1597	271	14	to	to	ADP
ejpam-1597	271	15	different	different	ADJ
ejpam-1597	271	16	penalty	penalty	NOUN
ejpam-1597	271	17	functionals	functional	NOUN
ejpam-1597	271	18	.	.	PUNCT
ejpam-1597	272	1	for	for	ADP
ejpam-1597	272	2	example	example	NOUN
ejpam-1597	272	3	,	,	PUNCT
ejpam-1597	272	4	a	a	DET
ejpam-1597	272	5	choice	choice	NOUN
ejpam-1597	272	6	of	of	ADP
ejpam-1597	272	7	a	a	DET
ejpam-1597	272	8	=	=	NOUN
ejpam-1597	272	9	log	log	NOUN
ejpam-1597	272	10	n	n	PRON
ejpam-1597	272	11	would	would	AUX
ejpam-1597	272	12	yield	yield	VERB
ejpam-1597	272	13	icom	icom	PROPN
ejpam-1597	272	14	ppeu_ln(f̂−1	ppeu_ln(f̂−1	NUM
ejpam-1597	272	15	)	)	PUNCT
ejpam-1597	273	1	=	=	SYM
ejpam-1597	273	2	−2	−2	NOUN
ejpam-1597	273	3	log	log	NOUN
ejpam-1597	273	4	l(θ̂m	l(θ̂m	NOUN
ejpam-1597	274	1	|	|	INTJ
ejpam-1597	274	2	y	y	NOUN
ejpam-1597	274	3	)	)	PUNCT
ejpam-1597	275	1	+	+	NOUN
ejpam-1597	275	2	m+	m+	NUM
ejpam-1597	275	3	log(n)c1(f̂−1	log(n)c1(f̂−1	NOUN
ejpam-1597	275	4	)	)	PUNCT
ejpam-1597	275	5	,	,	PUNCT
ejpam-1597	275	6	(	(	PUNCT
ejpam-1597	275	7	39	39	NUM
ejpam-1597	275	8	)	)	PUNCT
ejpam-1597	275	9	which	which	PRON
ejpam-1597	275	10	clearly	clearly	ADV
ejpam-1597	275	11	enforces	enforce	VERB
ejpam-1597	275	12	a	a	DET
ejpam-1597	275	13	stricter	strict	ADJ
ejpam-1597	275	14	penalty	penalty	NOUN
ejpam-1597	275	15	.	.	PUNCT
ejpam-1597	276	1	one	one	PRON
ejpam-1597	276	2	can	can	AUX
ejpam-1597	276	3	choose	choose	VERB
ejpam-1597	276	4	yet	yet	ADV
ejpam-1597	276	5	other	other	ADJ
ejpam-1597	276	6	forms	form	NOUN
ejpam-1597	276	7	of	of	ADP
ejpam-1597	276	8	the	the	DET
ejpam-1597	276	9	utility	utility	NOUN
ejpam-1597	276	10	u2	u2	NOUN
ejpam-1597	276	11	and	and	CCONJ
ejpam-1597	276	12	its	its	PRON
ejpam-1597	276	13	exponent	exponent	NOUN
ejpam-1597	276	14	to	to	PART
ejpam-1597	276	15	obtain	obtain	VERB
ejpam-1597	276	16	several	several	ADJ
ejpam-1597	276	17	consistent	consistent	ADJ
ejpam-1597	276	18	forms	form	NOUN
ejpam-1597	276	19	of	of	ADP
ejpam-1597	276	20	icom	icom	PROPN
ejpam-1597	276	21	p	p	X
ejpam-1597	276	22	,	,	PUNCT
ejpam-1597	276	23	which	which	PRON
ejpam-1597	276	24	are	be	AUX
ejpam-1597	276	25	justifiable	justifiable	ADJ
ejpam-1597	276	26	,	,	PUNCT
ejpam-1597	276	27	to	to	PART
ejpam-1597	276	28	penalize	penalize	VERB
ejpam-1597	276	29	overparametrization	overparametrization	NOUN
ejpam-1597	276	30	of	of	ADP
ejpam-1597	276	31	the	the	DET
ejpam-1597	276	32	models	model	NOUN
ejpam-1597	276	33	under	under	ADP
ejpam-1597	276	34	consideration	consideration	NOUN
ejpam-1597	276	35	.	.	PUNCT
ejpam-1597	277	1	for	for	ADP
ejpam-1597	277	2	more	more	ADJ
ejpam-1597	277	3	on	on	ADP
ejpam-1597	277	4	icom	icom	PROPN
ejpam-1597	277	5	p	p	X
ejpam-1597	277	6	we	we	PRON
ejpam-1597	277	7	refer	refer	VERB
ejpam-1597	277	8	the	the	DET
ejpam-1597	277	9	readers	reader	NOUN
ejpam-1597	277	10	to	to	ADP
ejpam-1597	277	11	[	[	X
ejpam-1597	277	12	8	8	NUM
ejpam-1597	277	13	]	]	SYM
ejpam-1597	277	14	.	.	PUNCT
ejpam-1597	278	1	3.2	3.2	NUM
ejpam-1597	278	2	.	.	PUNCT
ejpam-1597	279	1	icom	icom	PROPN
ejpam-1597	279	2	p	p	PROPN
ejpam-1597	279	3	for	for	ADP
ejpam-1597	279	4	misspecified	misspecified	ADJ
ejpam-1597	279	5	models	model	NOUN
ejpam-1597	279	6	in	in	ADP
ejpam-1597	279	7	order	order	NOUN
ejpam-1597	279	8	to	to	PART
ejpam-1597	279	9	protect	protect	VERB
ejpam-1597	279	10	the	the	DET
ejpam-1597	279	11	researcher	researcher	NOUN
ejpam-1597	279	12	against	against	ADP
ejpam-1597	279	13	this	this	DET
ejpam-1597	279	14	model	model	NOUN
ejpam-1597	279	15	misspecification	misspecification	NOUN
ejpam-1597	279	16	,	,	PUNCT
ejpam-1597	279	17	we	we	PRON
ejpam-1597	279	18	generalize	generalize	VERB
ejpam-1597	279	19	icom	icom	PROPN
ejpam-1597	279	20	p	p	NOUN
ejpam-1597	279	21	to	to	ADP
ejpam-1597	279	22	the	the	DET
ejpam-1597	279	23	case	case	NOUN
ejpam-1597	279	24	of	of	ADP
ejpam-1597	279	25	a	a	DET
ejpam-1597	279	26	misspecified	misspecifie	VERB
ejpam-1597	279	27	model	model	NOUN
ejpam-1597	279	28	and	and	CCONJ
ejpam-1597	279	29	introduce	introduce	VERB
ejpam-1597	279	30	icom	icom	PROPN
ejpam-1597	279	31	pm	pm	NOUN
ejpam-1597	279	32	isp(ôcov(θ̂	isp(ôcov(θ̂	ADJ
ejpam-1597	279	33	)	)	PUNCT
ejpam-1597	279	34	)	)	PUNCT
ejpam-1597	279	35	,	,	PUNCT
ejpam-1597	279	36	which	which	PRON
ejpam-1597	279	37	can	can	AUX
ejpam-1597	279	38	drive	drive	VERB
ejpam-1597	279	39	effective	effective	ADJ
ejpam-1597	279	40	model	model	NOUN
ejpam-1597	279	41	selection	selection	NOUN
ejpam-1597	279	42	even	even	ADV
ejpam-1597	279	43	when	when	SCONJ
ejpam-1597	279	44	the	the	DET
ejpam-1597	279	45	gaussian	gaussian	ADJ
ejpam-1597	279	46	assumption	assumption	NOUN
ejpam-1597	279	47	is	be	AUX
ejpam-1597	279	48	invalid	invalid	ADJ
ejpam-1597	279	49	for	for	ADP
ejpam-1597	279	50	the	the	DET
ejpam-1597	279	51	given	give	VERB
ejpam-1597	279	52	dataset	dataset	NOUN
ejpam-1597	279	53	.	.	PUNCT
ejpam-1597	280	1	first	first	ADV
ejpam-1597	280	2	we	we	PRON
ejpam-1597	280	3	define	define	VERB
ejpam-1597	280	4	the	the	DET
ejpam-1597	280	5	two	two	NUM
ejpam-1597	280	6	forms	form	NOUN
ejpam-1597	280	7	of	of	ADP
ejpam-1597	280	8	the	the	DET
ejpam-1597	280	9	fisher	fisher	PROPN
ejpam-1597	280	10	information	information	NOUN
ejpam-1597	280	11	matrix	matrix	NOUN
ejpam-1597	280	12	which	which	PRON
ejpam-1597	280	13	are	be	AUX
ejpam-1597	280	14	useful	useful	ADJ
ejpam-1597	280	15	h.	h.	NOUN
ejpam-1597	280	16	bozdogan	bozdogan	PROPN
ejpam-1597	280	17	,	,	PUNCT
ejpam-1597	280	18	j.	j.	PROPN
ejpam-1597	280	19	howe	howe	PROPN
ejpam-1597	280	20	/	/	SYM
ejpam-1597	280	21	eur	eur	PROPN
ejpam-1597	280	22	.	.	PUNCT
ejpam-1597	281	1	j.	j.	PROPN
ejpam-1597	281	2	pure	pure	PROPN
ejpam-1597	281	3	appl	appl	PROPN
ejpam-1597	281	4	.	.	PROPN
ejpam-1597	281	5	math	math	PROPN
ejpam-1597	281	6	,	,	PUNCT
ejpam-1597	281	7	5	5	NUM
ejpam-1597	281	8	(	(	PUNCT
ejpam-1597	281	9	2012	2012	NUM
ejpam-1597	281	10	)	)	PUNCT
ejpam-1597	281	11	,	,	PUNCT
ejpam-1597	281	12	211	211	NUM
ejpam-1597	281	13	-	-	SYM
ejpam-1597	281	14	249	249	NUM
ejpam-1597	281	15	223	223	NUM
ejpam-1597	281	16	to	to	PART
ejpam-1597	281	17	check	check	VERB
ejpam-1597	281	18	misspecification	misspecification	NOUN
ejpam-1597	281	19	of	of	ADP
ejpam-1597	281	20	a	a	DET
ejpam-1597	281	21	model	model	NOUN
ejpam-1597	281	22	.	.	PUNCT
ejpam-1597	282	1	we	we	PRON
ejpam-1597	282	2	define	define	VERB
ejpam-1597	282	3	the	the	DET
ejpam-1597	282	4	hessian	hessian	ADJ
ejpam-1597	282	5	form	form	NOUN
ejpam-1597	282	6	of	of	ADP
ejpam-1597	282	7	the	the	DET
ejpam-1597	282	8	fisher	fisher	PROPN
ejpam-1597	282	9	information	information	NOUN
ejpam-1597	282	10	matrix	matrix	NOUN
ejpam-1597	282	11	as	as	ADP
ejpam-1597	282	12	f	f	PROPN
ejpam-1597	282	13	=	=	PUNCT
ejpam-1597	282	14	−e	−e	NOUN
ejpam-1597	282	15	�	�	PROPN
ejpam-1597	282	16	∂	∂	NUM
ejpam-1597	282	17	2	2	NUM
ejpam-1597	282	18	log	log	NOUN
ejpam-1597	282	19	l(θ	l(θ	NOUN
ejpam-1597	282	20	)	)	PUNCT
ejpam-1597	282	21	∂	∂	NOUN
ejpam-1597	282	22	θ∂	θ∂	NOUN
ejpam-1597	282	23	θ	θ	NOUN
ejpam-1597	282	24	′	′	NUM
ejpam-1597	282	25	�	�	PROPN
ejpam-1597	282	26	(	(	PUNCT
ejpam-1597	282	27	40	40	NUM
ejpam-1597	282	28	)	)	PUNCT
ejpam-1597	282	29	and	and	CCONJ
ejpam-1597	282	30	the	the	DET
ejpam-1597	282	31	outer	outer	ADJ
ejpam-1597	282	32	-	-	PUNCT
ejpam-1597	282	33	product	product	NOUN
ejpam-1597	282	34	form	form	NOUN
ejpam-1597	282	35	as	as	ADP
ejpam-1597	282	36	r	r	NOUN
ejpam-1597	282	37	=	=	SYM
ejpam-1597	282	38	e	e	X
ejpam-1597	282	39	�	�	PROPN
ejpam-1597	282	40	∂	∂	NUM
ejpam-1597	282	41	log	log	NOUN
ejpam-1597	282	42	l(θ	l(θ	NOUN
ejpam-1597	282	43	)	)	PUNCT
ejpam-1597	282	44	∂	∂	NUM
ejpam-1597	282	45	θ	θ	X
ejpam-1597	282	46	·	·	PUNCT
ejpam-1597	282	47	∂	∂	NUM
ejpam-1597	282	48	log	log	VERB
ejpam-1597	282	49	l(θ	l(θ	NOUN
ejpam-1597	282	50	)	)	PUNCT
ejpam-1597	282	51	∂	∂	NUM
ejpam-1597	283	1	θ	θ	NOUN
ejpam-1597	283	2	′	′	NUM
ejpam-1597	283	3	�	�	PROPN
ejpam-1597	283	4	,	,	PUNCT
ejpam-1597	283	5	(	(	PUNCT
ejpam-1597	283	6	41	41	NUM
ejpam-1597	283	7	)	)	PUNCT
ejpam-1597	283	8	where	where	SCONJ
ejpam-1597	283	9	the	the	DET
ejpam-1597	283	10	expectations	expectation	NOUN
ejpam-1597	283	11	are	be	AUX
ejpam-1597	283	12	taken	take	VERB
ejpam-1597	283	13	with	with	ADP
ejpam-1597	283	14	respect	respect	NOUN
ejpam-1597	283	15	to	to	ADP
ejpam-1597	283	16	the	the	DET
ejpam-1597	283	17	true	true	ADJ
ejpam-1597	283	18	but	but	CCONJ
ejpam-1597	283	19	unknown	unknown	ADJ
ejpam-1597	283	20	distribution	distribution	NOUN
ejpam-1597	283	21	.	.	PUNCT
ejpam-1597	284	1	following	follow	VERB
ejpam-1597	284	2	[	[	X
ejpam-1597	284	3	13	13	NUM
ejpam-1597	284	4	]	]	PUNCT
ejpam-1597	284	5	,	,	PUNCT
ejpam-1597	284	6	[	[	X
ejpam-1597	284	7	17	17	NUM
ejpam-1597	284	8	,	,	PUNCT
ejpam-1597	284	9	page	page	NOUN
ejpam-1597	284	10	237	237	NUM
ejpam-1597	284	11	]	]	PUNCT
ejpam-1597	284	12	,	,	PUNCT
ejpam-1597	284	13	[	[	X
ejpam-1597	284	14	18	18	NUM
ejpam-1597	284	15	,	,	PUNCT
ejpam-1597	284	16	page	page	NOUN
ejpam-1597	284	17	270	270	NUM
ejpam-1597	284	18	]	]	PUNCT
ejpam-1597	284	19	,	,	PUNCT
ejpam-1597	284	20	[	[	X
ejpam-1597	284	21	19	19	NUM
ejpam-1597	284	22	,	,	PUNCT
ejpam-1597	284	23	page	page	NOUN
ejpam-1597	284	24	391	391	NUM
ejpam-1597	284	25	]	]	PUNCT
ejpam-1597	284	26	,	,	PUNCT
ejpam-1597	284	27	[	[	X
ejpam-1597	284	28	45	45	NUM
ejpam-1597	284	29	]	]	PUNCT
ejpam-1597	284	30	,	,	PUNCT
ejpam-1597	284	31	and	and	CCONJ
ejpam-1597	284	32	others	other	NOUN
ejpam-1597	284	33	,	,	PUNCT
ejpam-1597	284	34	suppose	suppose	VERB
ejpam-1597	284	35	that	that	SCONJ
ejpam-1597	284	36	the	the	DET
ejpam-1597	284	37	fitted	fit	VERB
ejpam-1597	284	38	model	model	NOUN
ejpam-1597	284	39	is	be	AUX
ejpam-1597	284	40	incorrectly	incorrectly	ADV
ejpam-1597	284	41	specified	specify	VERB
ejpam-1597	284	42	.	.	PUNCT
ejpam-1597	285	1	let	let	VERB
ejpam-1597	285	2	g(y	g(y	PROPN
ejpam-1597	285	3	|	|	ADV
ejpam-1597	285	4	θ	θ	PROPN
ejpam-1597	285	5	∗	∗	NOUN
ejpam-1597	285	6	)	)	PUNCT
ejpam-1597	285	7	be	be	VERB
ejpam-1597	285	8	the	the	DET
ejpam-1597	285	9	true	true	ADJ
ejpam-1597	285	10	model	model	NOUN
ejpam-1597	285	11	.	.	PUNCT
ejpam-1597	286	1	without	without	ADP
ejpam-1597	286	2	knowing	know	VERB
ejpam-1597	286	3	,	,	PUNCT
ejpam-1597	286	4	suppose	suppose	VERB
ejpam-1597	286	5	we	we	PRON
ejpam-1597	286	6	fit	fit	VERB
ejpam-1597	286	7	f	f	PROPN
ejpam-1597	286	8	(	(	PUNCT
ejpam-1597	286	9	y	y	PROPN
ejpam-1597	286	10	|	|	ADV
ejpam-1597	286	11	θ	θ	PROPN
ejpam-1597	286	12	)	)	PUNCT
ejpam-1597	286	13	to	to	ADP
ejpam-1597	286	14	a	a	DET
ejpam-1597	286	15	random	random	ADJ
ejpam-1597	286	16	sample	sample	NOUN
ejpam-1597	286	17	y1	y1	NOUN
ejpam-1597	286	18	,	,	PUNCT
ejpam-1597	286	19	.	.	PUNCT
ejpam-1597	286	20	.	.	PUNCT
ejpam-1597	287	1	.	.	PUNCT
ejpam-1597	288	1	,	,	PUNCT
ejpam-1597	288	2	yn	yn	PROPN
ejpam-1597	288	3	of	of	ADP
ejpam-1597	288	4	n	n	PROPN
ejpam-1597	288	5	observations	observation	NOUN
ejpam-1597	288	6	.	.	PUNCT
ejpam-1597	289	1	under	under	ADP
ejpam-1597	289	2	mild	mild	ADJ
ejpam-1597	289	3	conditions	condition	NOUN
ejpam-1597	289	4	,	,	PUNCT
ejpam-1597	289	5	the	the	DET
ejpam-1597	289	6	log	log	NOUN
ejpam-1597	289	7	likelihood	likelihood	NOUN
ejpam-1597	289	8	of	of	ADP
ejpam-1597	289	9	the	the	DET
ejpam-1597	289	10	fitted	fit	VERB
ejpam-1597	289	11	model	model	NOUN
ejpam-1597	289	12	log	log	VERB
ejpam-1597	289	13	l(θ	l(θ	PRON
ejpam-1597	289	14	)	)	PUNCT
ejpam-1597	290	1	=	=	SYM
ejpam-1597	290	2	n∑	n∑	PROPN
ejpam-1597	291	1	i=1	i=1	PROPN
ejpam-1597	291	2	log	log	NOUN
ejpam-1597	291	3	f	f	PROPN
ejpam-1597	291	4	(	(	PUNCT
ejpam-1597	291	5	yi	yi	PROPN
ejpam-1597	291	6	|	|	ADV
ejpam-1597	291	7	θ	θ	PROPN
ejpam-1597	291	8	)	)	PUNCT
ejpam-1597	291	9	(	(	PUNCT
ejpam-1597	291	10	42	42	NUM
ejpam-1597	291	11	)	)	PUNCT
ejpam-1597	291	12	is	be	AUX
ejpam-1597	291	13	maximized	maximize	VERB
ejpam-1597	291	14	at	at	ADP
ejpam-1597	291	15	the	the	DET
ejpam-1597	291	16	mle	mle	NOUN
ejpam-1597	291	17	θ̂	θ̂	NUM
ejpam-1597	291	18	,	,	PUNCT
ejpam-1597	291	19	and	and	CCONJ
ejpam-1597	291	20	as	as	ADP
ejpam-1597	291	21	n−→∞	n−→∞	PROPN
ejpam-1597	291	22	the	the	DET
ejpam-1597	291	23	average	average	ADJ
ejpam-1597	291	24	maximized	maximize	VERB
ejpam-1597	291	25	log	log	NOUN
ejpam-1597	291	26	likelihood	likelihood	NOUN
ejpam-1597	291	27	function	function	NOUN
ejpam-1597	291	28	log	log	NOUN
ejpam-1597	291	29	l(θ̂	l(θ̂	PROPN
ejpam-1597	291	30	|	|	CCONJ
ejpam-1597	291	31	y	y	NOUN
ejpam-1597	291	32	)	)	PUNCT
ejpam-1597	291	33	=	=	SYM
ejpam-1597	292	1	1	1	NUM
ejpam-1597	292	2	n	n	NUM
ejpam-1597	292	3	n∑	n∑	NOUN
ejpam-1597	292	4	i=1	i=1	PROPN
ejpam-1597	292	5	log	log	NOUN
ejpam-1597	292	6	f	f	PROPN
ejpam-1597	293	1	(	(	PUNCT
ejpam-1597	293	2	yi	yi	PROPN
ejpam-1597	293	3	|	|	ADV
ejpam-1597	293	4	θ̂	θ̂	PRON
ejpam-1597	293	5	)	)	PUNCT
ejpam-1597	294	1	−→	−→	ADJ
ejpam-1597	294	2	∫	∫	PROPN
ejpam-1597	294	3	f	f	PROPN
ejpam-1597	294	4	(	(	PUNCT
ejpam-1597	294	5	y	y	PROPN
ejpam-1597	294	6	|	|	ADV
ejpam-1597	294	7	θ	θ	PROPN
ejpam-1597	294	8	∗g	∗g	PROPN
ejpam-1597	294	9	)	)	PUNCT
ejpam-1597	294	10	log	log	PROPN
ejpam-1597	294	11	g(y)d	g(y)d	PROPN
ejpam-1597	294	12	y	y	PROPN
ejpam-1597	294	13	,	,	PUNCT
ejpam-1597	294	14	(	(	PUNCT
ejpam-1597	294	15	43	43	NUM
ejpam-1597	294	16	)	)	PUNCT
ejpam-1597	294	17	where	where	SCONJ
ejpam-1597	294	18	θ	θ	PROPN
ejpam-1597	294	19	∗g	∗g	PROPN
ejpam-1597	294	20	is	be	AUX
ejpam-1597	294	21	the	the	DET
ejpam-1597	294	22	value	value	NOUN
ejpam-1597	294	23	of	of	ADP
ejpam-1597	294	24	θ	θ	PROPN
ejpam-1597	294	25	that	that	PRON
ejpam-1597	294	26	minimizes	minimize	VERB
ejpam-1597	294	27	the	the	DET
ejpam-1597	294	28	kl	kl	PROPN
ejpam-1597	294	29	information	information	NOUN
ejpam-1597	294	30	k	k	PROPN
ejpam-1597	294	31	l	l	PROPN
ejpam-1597	294	32	=	=	SYM
ejpam-1597	294	33	∫	∫	PROPN
ejpam-1597	294	34	log	log	PROPN
ejpam-1597	294	35	�	�	PROPN
ejpam-1597	294	36	g(y	g(y	PROPN
ejpam-1597	294	37	|	|	NOUN
ejpam-1597	294	38	θ	θ	PROPN
ejpam-1597	294	39	∗	∗	NOUN
ejpam-1597	294	40	)	)	PUNCT
ejpam-1597	294	41	f	f	PROPN
ejpam-1597	294	42	(	(	PUNCT
ejpam-1597	294	43	y	y	PROPN
ejpam-1597	294	44	|	|	ADV
ejpam-1597	294	45	θ	θ	PROPN
ejpam-1597	294	46	)	)	PUNCT
ejpam-1597	294	47	�	�	PROPN
ejpam-1597	294	48	g(y	g(y	PROPN
ejpam-1597	294	49	|	|	NOUN
ejpam-1597	294	50	θ	θ	PROPN
ejpam-1597	294	51	∗)d	∗)d	PROPN
ejpam-1597	294	52	y	y	PROPN
ejpam-1597	294	53	,	,	PUNCT
ejpam-1597	294	54	(	(	PUNCT
ejpam-1597	294	55	44	44	NUM
ejpam-1597	294	56	)	)	PUNCT
ejpam-1597	294	57	with	with	ADP
ejpam-1597	294	58	respect	respect	NOUN
ejpam-1597	294	59	to	to	ADP
ejpam-1597	294	60	θ	θ	PROPN
ejpam-1597	294	61	.	.	PUNCT
ejpam-1597	295	1	thus	thus	ADV
ejpam-1597	295	2	θ	θ	PROPN
ejpam-1597	295	3	∗g	∗g	PROPN
ejpam-1597	295	4	is	be	AUX
ejpam-1597	295	5	the	the	DET
ejpam-1597	295	6	“	"	PUNCT
ejpam-1597	295	7	least	least	ADJ
ejpam-1597	295	8	bad	bad	ADJ
ejpam-1597	295	9	”	"	PUNCT
ejpam-1597	295	10	value	value	NOUN
ejpam-1597	295	11	of	of	ADP
ejpam-1597	295	12	θ	θ	PROPN
ejpam-1597	295	13	given	give	VERB
ejpam-1597	295	14	the	the	DET
ejpam-1597	295	15	misspecified	misspecifie	VERB
ejpam-1597	295	16	model	model	NOUN
ejpam-1597	295	17	.	.	PUNCT
ejpam-1597	296	1	taking	take	VERB
ejpam-1597	296	2	the	the	DET
ejpam-1597	296	3	partial	partial	ADJ
ejpam-1597	296	4	derivative	derivative	NOUN
ejpam-1597	296	5	of	of	ADP
ejpam-1597	296	6	(	(	PUNCT
ejpam-1597	296	7	43	43	NUM
ejpam-1597	296	8	)	)	PUNCT
ejpam-1597	296	9	w.r.t	w.r.t	NOUN
ejpam-1597	296	10	θ	θ	PROPN
ejpam-1597	296	11	,	,	PUNCT
ejpam-1597	296	12	we	we	PRON
ejpam-1597	296	13	have	have	VERB
ejpam-1597	296	14	0=	0=	NUM
ejpam-1597	296	15	∫	∫	PROPN
ejpam-1597	296	16	∂	∂	NUM
ejpam-1597	297	1	log	log	PROPN
ejpam-1597	297	2	f	f	PROPN
ejpam-1597	297	3	(	(	PUNCT
ejpam-1597	297	4	y	y	PROPN
ejpam-1597	297	5	|	|	ADV
ejpam-1597	297	6	θ	θ	PROPN
ejpam-1597	297	7	)	)	PUNCT
ejpam-1597	297	8	∂	∂	NUM
ejpam-1597	297	9	θ	θ	PROPN
ejpam-1597	297	10	g(y)d	g(y)d	PROPN
ejpam-1597	297	11	y	y	PROPN
ejpam-1597	297	12	,	,	PUNCT
ejpam-1597	297	13	(	(	PUNCT
ejpam-1597	297	14	45	45	NUM
ejpam-1597	297	15	)	)	PUNCT
ejpam-1597	297	16	with	with	ADP
ejpam-1597	297	17	θ̂	θ̂	NUM
ejpam-1597	297	18	obtained	obtain	VERB
ejpam-1597	297	19	from	from	ADP
ejpam-1597	297	20	the	the	DET
ejpam-1597	297	21	finite	finite	ADJ
ejpam-1597	297	22	-	-	ADJ
ejpam-1597	297	23	sample	sample	ADJ
ejpam-1597	297	24	version	version	NOUN
ejpam-1597	297	25	of	of	ADP
ejpam-1597	297	26	the	the	DET
ejpam-1597	297	27	previous	previous	ADJ
ejpam-1597	297	28	equation	equation	NOUN
ejpam-1597	297	29	given	give	VERB
ejpam-1597	297	30	by	by	ADP
ejpam-1597	297	31	0=	0=	NUM
ejpam-1597	297	32	1	1	NUM
ejpam-1597	297	33	n	n	NUM
ejpam-1597	297	34	n∑	n∑	NOUN
ejpam-1597	297	35	i=1	i=1	PROPN
ejpam-1597	297	36	∂	∂	X
ejpam-1597	297	37	log	log	PROPN
ejpam-1597	297	38	f	f	PROPN
ejpam-1597	297	39	(	(	PUNCT
ejpam-1597	297	40	yi	yi	PROPN
ejpam-1597	297	41	|	|	ADV
ejpam-1597	297	42	θ̂	θ̂	VERB
ejpam-1597	297	43	)	)	PUNCT
ejpam-1597	297	44	∂	∂	NUM
ejpam-1597	297	45	θ	θ	NOUN
ejpam-1597	297	46	.	.	PUNCT
ejpam-1597	298	1	(	(	PUNCT
ejpam-1597	298	2	46	46	X
ejpam-1597	298	3	)	)	PUNCT
ejpam-1597	298	4	now	now	ADV
ejpam-1597	298	5	expansion	expansion	NOUN
ejpam-1597	298	6	of	of	ADP
ejpam-1597	298	7	this	this	PRON
ejpam-1597	298	8	about	about	ADP
ejpam-1597	298	9	θ	θ	PROPN
ejpam-1597	298	10	∗g	∗g	PROPN
ejpam-1597	298	11	yields	yield	NOUN
ejpam-1597	298	12	θ̂	θ̂	X
ejpam-1597	298	13	.	.	PUNCT
ejpam-1597	299	1	=	=	PUNCT
ejpam-1597	300	1	θ	θ	PROPN
ejpam-1597	300	2	∗g	∗g	PROPN
ejpam-1597	300	3	+	+	CCONJ
ejpam-1597	300	4			PROPN
ejpam-1597	300	5	−1	−1	PROPN
ejpam-1597	300	6	n	n	NUM
ejpam-1597	300	7	n∑	n∑	NOUN
ejpam-1597	300	8	i=1	i=1	PROPN
ejpam-1597	300	9	∂	∂	NOUN
ejpam-1597	300	10	2	2	NUM
ejpam-1597	300	11	log	log	NOUN
ejpam-1597	300	12	f	f	PROPN
ejpam-1597	300	13	(	(	PUNCT
ejpam-1597	300	14	yi	yi	INTJ
ejpam-1597	300	15	|	|	ADV
ejpam-1597	300	16	θ	θ	PROPN
ejpam-1597	300	17	∗g	∗g	PROPN
ejpam-1597	300	18	)	)	PUNCT
ejpam-1597	300	19	∂	∂	PUNCT
ejpam-1597	300	20	θ∂	θ∂	NOUN
ejpam-1597	300	21	θ	θ	NOUN
ejpam-1597	300	22	′	′	NUM
ejpam-1597	300	23			PROPN
ejpam-1597	300	24			PROPN
ejpam-1597	300	25	−1	−1	PROPN
ejpam-1597	300	26	1	1	NOUN
ejpam-1597	300	27	n	n	PROPN
ejpam-1597	300	28	n∑	n∑	PROPN
ejpam-1597	300	29	i=1	i=1	PROPN
ejpam-1597	300	30	∂	∂	X
ejpam-1597	300	31	log	log	PROPN
ejpam-1597	300	32	f	f	PROPN
ejpam-1597	300	33	(	(	PUNCT
ejpam-1597	300	34	yi	yi	INTJ
ejpam-1597	300	35	|	|	ADV
ejpam-1597	300	36	θ	θ	PROPN
ejpam-1597	300	37	∗g	∗g	NOUN
ejpam-1597	300	38	)	)	PUNCT
ejpam-1597	300	39	∂	∂	NUM
ejpam-1597	300	40	θ	θ	PROPN
ejpam-1597	300	41			PROPN
ejpam-1597	300	42			PROPN
ejpam-1597	300	43	.	.	PUNCT
ejpam-1597	301	1	(	(	PUNCT
ejpam-1597	301	2	47	47	NUM
ejpam-1597	301	3	)	)	PUNCT
ejpam-1597	301	4	h.	h.	NOUN
ejpam-1597	301	5	bozdogan	bozdogan	PROPN
ejpam-1597	301	6	,	,	PUNCT
ejpam-1597	301	7	j.	j.	PROPN
ejpam-1597	301	8	howe	howe	PROPN
ejpam-1597	301	9	/	/	SYM
ejpam-1597	301	10	eur	eur	PROPN
ejpam-1597	301	11	.	.	PUNCT
ejpam-1597	302	1	j.	j.	PROPN
ejpam-1597	302	2	pure	pure	PROPN
ejpam-1597	302	3	appl	appl	PROPN
ejpam-1597	302	4	.	.	PROPN
ejpam-1597	302	5	math	math	PROPN
ejpam-1597	302	6	,	,	PUNCT
ejpam-1597	302	7	5	5	NUM
ejpam-1597	302	8	(	(	PUNCT
ejpam-1597	302	9	2012	2012	NUM
ejpam-1597	302	10	)	)	PUNCT
ejpam-1597	302	11	,	,	PUNCT
ejpam-1597	302	12	211	211	NUM
ejpam-1597	302	13	-	-	SYM
ejpam-1597	302	14	249	249	NUM
ejpam-1597	302	15	224	224	NUM
ejpam-1597	302	16	which	which	PRON
ejpam-1597	302	17	provides	provide	VERB
ejpam-1597	302	18	us	we	PRON
ejpam-1597	302	19	with	with	ADP
ejpam-1597	302	20	1	1	NUM
ejpam-1597	302	21	n	n	NUM
ejpam-1597	302	22	n∑	n∑	NOUN
ejpam-1597	302	23	i=1	i=1	PROPN
ejpam-1597	302	24	∂	∂	NOUN
ejpam-1597	302	25	2	2	NUM
ejpam-1597	302	26	log	log	NOUN
ejpam-1597	302	27	f	f	PROPN
ejpam-1597	303	1	(	(	PUNCT
ejpam-1597	303	2	yi	yi	INTJ
ejpam-1597	303	3	|	|	ADV
ejpam-1597	303	4	θ	θ	PROPN
ejpam-1597	303	5	∗g	∗g	PROPN
ejpam-1597	303	6	)	)	PUNCT
ejpam-1597	303	7	∂	∂	PUNCT
ejpam-1597	303	8	θ∂	θ∂	NOUN
ejpam-1597	303	9	θ	θ	NOUN
ejpam-1597	303	10	′	′	NOUN
ejpam-1597	304	1	p−→	p−→	NOUN
ejpam-1597	304	2	(	(	PUNCT
ejpam-1597	304	3	e	e	NOUN
ejpam-1597	304	4	∂	∂	NUM
ejpam-1597	304	5	2	2	NUM
ejpam-1597	304	6	log	log	NOUN
ejpam-1597	304	7	f	f	PROPN
ejpam-1597	304	8	(	(	PUNCT
ejpam-1597	304	9	y	y	PROPN
ejpam-1597	304	10	|	|	ADV
ejpam-1597	304	11	θ	θ	PROPN
ejpam-1597	304	12	∗g	∗g	PROPN
ejpam-1597	304	13	)	)	PUNCT
ejpam-1597	304	14	∂	∂	PUNCT
ejpam-1597	304	15	θ∂	θ∂	NOUN
ejpam-1597	304	16	θ	θ	NOUN
ejpam-1597	304	17	′	′	NUM
ejpam-1597	304	18	!	!	PUNCT
ejpam-1597	304	19	)	)	PUNCT
ejpam-1597	305	1	=	=	SYM
ejpam-1597	305	2	−f	−f	NOUN
ejpam-1597	305	3	(	(	PUNCT
ejpam-1597	305	4	θ	θ	PROPN
ejpam-1597	305	5	∗g	∗g	PROPN
ejpam-1597	305	6	)	)	PUNCT
ejpam-1597	305	7	,	,	PUNCT
ejpam-1597	305	8	(	(	PUNCT
ejpam-1597	305	9	48	48	NUM
ejpam-1597	305	10	)	)	PUNCT
ejpam-1597	305	11	the	the	DET
ejpam-1597	305	12	inner	inner	ADJ
ejpam-1597	305	13	-	-	PUNCT
ejpam-1597	305	14	product	product	NOUN
ejpam-1597	305	15	form	form	NOUN
ejpam-1597	305	16	of	of	ADP
ejpam-1597	305	17	the	the	DET
ejpam-1597	305	18	fim	fim	NOUN
ejpam-1597	305	19	,	,	PUNCT
ejpam-1597	305	20	and	and	CCONJ
ejpam-1597	305	21	1	1	NUM
ejpam-1597	305	22	n	n	NUM
ejpam-1597	305	23	n∑	n∑	PROPN
ejpam-1597	305	24	i=1	i=1	PROPN
ejpam-1597	305	25	∂	∂	X
ejpam-1597	305	26	log	log	PROPN
ejpam-1597	305	27	f	f	PROPN
ejpam-1597	306	1	(	(	PUNCT
ejpam-1597	306	2	yi	yi	INTJ
ejpam-1597	306	3	|	|	ADV
ejpam-1597	306	4	θ	θ	PROPN
ejpam-1597	306	5	∗g	∗g	NOUN
ejpam-1597	306	6	)	)	PUNCT
ejpam-1597	306	7	∂	∂	NUM
ejpam-1597	306	8	θ	θ	NOUN
ejpam-1597	306	9	p−→	p−→	VERB
ejpam-1597	306	10	¨	¨	NOUN
ejpam-1597	306	11	e	e	X
ejpam-1597	306	12	�	�	PROPN
ejpam-1597	306	13	∂	∂	NUM
ejpam-1597	306	14	log	log	NOUN
ejpam-1597	306	15	f	f	PROPN
ejpam-1597	306	16	(	(	PUNCT
ejpam-1597	306	17	y	y	PROPN
ejpam-1597	306	18	|	|	ADV
ejpam-1597	306	19	θ	θ	PROPN
ejpam-1597	306	20	∗g	∗g	NOUN
ejpam-1597	306	21	)	)	PUNCT
ejpam-1597	307	1	∂	∂	NUM
ejpam-1597	307	2	θ	θ	PROPN
ejpam-1597	307	3	�	�	PROPN
ejpam-1597	307	4	·	·	SYM
ejpam-1597	307	5	�	�	PROPN
ejpam-1597	307	6	∂	∂	NUM
ejpam-1597	307	7	log	log	NOUN
ejpam-1597	307	8	f	f	PROPN
ejpam-1597	307	9	(	(	PUNCT
ejpam-1597	307	10	y	y	PROPN
ejpam-1597	307	11	|	|	ADV
ejpam-1597	307	12	θ	θ	PROPN
ejpam-1597	307	13	∗g	∗g	PROPN
ejpam-1597	307	14	)	)	PUNCT
ejpam-1597	307	15	∂	∂	NUM
ejpam-1597	307	16	θ	θ	PROPN
ejpam-1597	307	17	�	�	SYM
ejpam-1597	307	18	«	«	PUNCT
ejpam-1597	307	19	=	=	NUM
ejpam-1597	307	20	r(θ	r(θ	NOUN
ejpam-1597	307	21	∗g	∗g	NOUN
ejpam-1597	307	22	)	)	PUNCT
ejpam-1597	307	23	(	(	PUNCT
ejpam-1597	307	24	49	49	NUM
ejpam-1597	307	25	)	)	PUNCT
ejpam-1597	307	26	the	the	DET
ejpam-1597	307	27	outer	outer	ADJ
ejpam-1597	307	28	-	-	PUNCT
ejpam-1597	307	29	product	product	NOUN
ejpam-1597	307	30	form	form	NOUN
ejpam-1597	307	31	of	of	ADP
ejpam-1597	307	32	the	the	DET
ejpam-1597	307	33	fim	fim	NOUN
ejpam-1597	307	34	.	.	PUNCT
ejpam-1597	308	1	these	these	DET
ejpam-1597	308	2	two	two	NUM
ejpam-1597	308	3	forms	form	NOUN
ejpam-1597	308	4	are	be	AUX
ejpam-1597	308	5	useful	useful	ADJ
ejpam-1597	308	6	to	to	PART
ejpam-1597	308	7	check	check	VERB
ejpam-1597	308	8	for	for	ADP
ejpam-1597	308	9	model	model	NOUN
ejpam-1597	308	10	misspecification	misspecification	NOUN
ejpam-1597	308	11	.	.	PUNCT
ejpam-1597	309	1	this	this	PRON
ejpam-1597	309	2	gives	give	VERB
ejpam-1597	309	3	us	we	PRON
ejpam-1597	309	4	the	the	DET
ejpam-1597	309	5	following	following	ADJ
ejpam-1597	309	6	result	result	NOUN
ejpam-1597	309	7	,	,	PUNCT
ejpam-1597	309	8	with	with	ADP
ejpam-1597	309	9	the	the	DET
ejpam-1597	309	10	derivation	derivation	NOUN
ejpam-1597	309	11	in	in	ADP
ejpam-1597	309	12	the	the	DET
ejpam-1597	309	13	appendix	appendix	NOUN
ejpam-1597	309	14	.	.	PUNCT
ejpam-1597	310	1	theorem	theorem	NOUN
ejpam-1597	310	2	1	1	NUM
ejpam-1597	310	3	.	.	PUNCT
ejpam-1597	310	4	based	base	VERB
ejpam-1597	310	5	on	on	ADP
ejpam-1597	310	6	an	an	DET
ejpam-1597	310	7	iid	iid	NOUN
ejpam-1597	310	8	sample	sample	NOUN
ejpam-1597	310	9	,	,	PUNCT
ejpam-1597	310	10	y1	y1	NOUN
ejpam-1597	310	11	,	,	PUNCT
ejpam-1597	310	12	.	.	PUNCT
ejpam-1597	310	13	.	.	PUNCT
ejpam-1597	311	1	.	.	PUNCT
ejpam-1597	312	1	,	,	PUNCT
ejpam-1597	312	2	yn	yn	PROPN
ejpam-1597	312	3	,	,	PUNCT
ejpam-1597	312	4	and	and	CCONJ
ejpam-1597	312	5	assuming	assume	VERB
ejpam-1597	312	6	regularity	regularity	NOUN
ejpam-1597	312	7	conditions	condition	NOUN
ejpam-1597	312	8	of	of	ADP
ejpam-1597	312	9	the	the	DET
ejpam-1597	312	10	log	log	NOUN
ejpam-1597	312	11	likelihood	likelihood	NOUN
ejpam-1597	312	12	function	function	NOUN
ejpam-1597	312	13	hold	hold	VERB
ejpam-1597	312	14	,	,	PUNCT
ejpam-1597	312	15	we	we	PRON
ejpam-1597	312	16	have	have	AUX
ejpam-1597	312	17	θ̂	θ̂	VERB
ejpam-1597	312	18	∼	∼	NOUN
ejpam-1597	312	19	n(θ	n(θ	PROPN
ejpam-1597	312	20	∗g	∗g	PROPN
ejpam-1597	312	21	,	,	PUNCT
ejpam-1597	312	22	f−1rf−1	f−1rf−1	PROPN
ejpam-1597	312	23	)	)	PUNCT
ejpam-1597	312	24	,	,	PUNCT
ejpam-1597	312	25	or	or	CCONJ
ejpam-1597	312	26	p	p	ADP
ejpam-1597	312	27	n(θ̂	n(θ̂	ADV
ejpam-1597	312	28	−	−	PROPN
ejpam-1597	312	29	θ	θ	PROPN
ejpam-1597	312	30	∗g	∗g	NOUN
ejpam-1597	312	31	)	)	PUNCT
ejpam-1597	312	32	∼	∼	NOUN
ejpam-1597	312	33	n(0,f−1rf−1	n(0,f−1rf−1	NOUN
ejpam-1597	312	34	)	)	PUNCT
ejpam-1597	312	35	.	.	PUNCT
ejpam-1597	313	1	(	(	PUNCT
ejpam-1597	313	2	50	50	X
ejpam-1597	313	3	)	)	PUNCT
ejpam-1597	313	4	note	note	NOUN
ejpam-1597	313	5	that	that	SCONJ
ejpam-1597	313	6	this	this	PRON
ejpam-1597	313	7	tells	tell	VERB
ejpam-1597	313	8	us	we	PRON
ejpam-1597	313	9	explicitly	explicitly	ADV
ejpam-1597	313	10	cov(θ	cov(θ	VERB
ejpam-1597	313	11	∗g)misspec	∗g)misspec	PROPN
ejpam-1597	313	12	=	=	SYM
ejpam-1597	313	13	f−1rf−1	f−1rf−1	X
ejpam-1597	313	14	,	,	PUNCT
ejpam-1597	313	15	(	(	PUNCT
ejpam-1597	313	16	51	51	NUM
ejpam-1597	313	17	)	)	PUNCT
ejpam-1597	313	18	which	which	PRON
ejpam-1597	313	19	is	be	AUX
ejpam-1597	313	20	called	call	VERB
ejpam-1597	313	21	the	the	DET
ejpam-1597	313	22	sandwich	sandwich	NOUN
ejpam-1597	313	23	or	or	CCONJ
ejpam-1597	313	24	robust	robust	ADJ
ejpam-1597	313	25	covariance	covariance	NOUN
ejpam-1597	313	26	matrix	matrix	NOUN
ejpam-1597	313	27	,	,	PUNCT
ejpam-1597	313	28	since	since	SCONJ
ejpam-1597	313	29	it	it	PRON
ejpam-1597	313	30	is	be	AUX
ejpam-1597	313	31	a	a	DET
ejpam-1597	313	32	correct	correct	ADJ
ejpam-1597	313	33	variance	variance	NOUN
ejpam-1597	313	34	matrix	matrix	NOUN
ejpam-1597	313	35	whether	whether	SCONJ
ejpam-1597	313	36	or	or	CCONJ
ejpam-1597	313	37	not	not	PART
ejpam-1597	313	38	the	the	DET
ejpam-1597	313	39	assumed	assumed	ADJ
ejpam-1597	313	40	or	or	CCONJ
ejpam-1597	313	41	fitted	fit	VERB
ejpam-1597	313	42	model	model	NOUN
ejpam-1597	313	43	is	be	AUX
ejpam-1597	313	44	correct	correct	ADJ
ejpam-1597	313	45	.	.	PUNCT
ejpam-1597	314	1	of	of	ADP
ejpam-1597	314	2	course	course	NOUN
ejpam-1597	314	3	,	,	PUNCT
ejpam-1597	314	4	in	in	ADP
ejpam-1597	314	5	practice	practice	NOUN
ejpam-1597	314	6	the	the	DET
ejpam-1597	314	7	true	true	ADJ
ejpam-1597	314	8	model	model	NOUN
ejpam-1597	314	9	and	and	CCONJ
ejpam-1597	314	10	parameters	parameter	NOUN
ejpam-1597	314	11	are	be	AUX
ejpam-1597	314	12	unknown	unknown	ADJ
ejpam-1597	314	13	,	,	PUNCT
ejpam-1597	314	14	so	so	ADV
ejpam-1597	314	15	we	we	PRON
ejpam-1597	314	16	estimate	estimate	VERB
ejpam-1597	314	17	this	this	PRON
ejpam-1597	314	18	with	with	ADP
ejpam-1597	314	19	ôcov(θ̂	ôcov(θ̂	NUM
ejpam-1597	314	20	)	)	PUNCT
ejpam-1597	314	21	=	=	SYM
ejpam-1597	314	22	f̂−1r̂f̂−1	f̂−1r̂f̂−1	NOUN
ejpam-1597	314	23	.	.	PUNCT
ejpam-1597	315	1	(	(	PUNCT
ejpam-1597	315	2	52	52	NUM
ejpam-1597	315	3	)	)	PUNCT
ejpam-1597	315	4	if	if	SCONJ
ejpam-1597	315	5	the	the	DET
ejpam-1597	315	6	model	model	NOUN
ejpam-1597	315	7	is	be	AUX
ejpam-1597	315	8	correct	correct	ADJ
ejpam-1597	315	9	,	,	PUNCT
ejpam-1597	315	10	we	we	PRON
ejpam-1597	315	11	must	must	AUX
ejpam-1597	315	12	have	have	VERB
ejpam-1597	315	13	f̂−1r̂	f̂−1r̂	NOUN
ejpam-1597	316	1	=	=	NOUN
ejpam-1597	316	2	i	i	INTJ
ejpam-1597	316	3	,	,	PUNCT
ejpam-1597	316	4	so	so	ADV
ejpam-1597	316	5	ôcov(θ̂	ôcov(θ̂	ADV
ejpam-1597	316	6	)	)	PUNCT
ejpam-1597	316	7	=	=	SYM
ejpam-1597	316	8	f̂−1r̂f̂−1	f̂−1r̂f̂−1	X
ejpam-1597	316	9	=	=	SYM
ejpam-1597	316	10	if̂−1	if̂−1	X
ejpam-1597	316	11	=	=	SYM
ejpam-1597	316	12	f̂−1	f̂−1	PROPN
ejpam-1597	316	13	.	.	PUNCT
ejpam-1597	317	1	thus	thus	ADV
ejpam-1597	317	2	,	,	PUNCT
ejpam-1597	317	3	in	in	ADP
ejpam-1597	317	4	the	the	DET
ejpam-1597	317	5	case	case	NOUN
ejpam-1597	317	6	of	of	ADP
ejpam-1597	317	7	a	a	DET
ejpam-1597	317	8	correctly	correctly	ADV
ejpam-1597	317	9	specified	specify	VERB
ejpam-1597	317	10	model	model	NOUN
ejpam-1597	317	11	,	,	PUNCT
ejpam-1597	317	12	ôcov(θ̂	ôcov(θ̂	ADV
ejpam-1597	317	13	)	)	PUNCT
ejpam-1597	317	14	=	=	SYM
ejpam-1597	317	15	f̂−1	f̂−1	PROPN
ejpam-1597	317	16	.	.	PUNCT
ejpam-1597	318	1	however	however	ADV
ejpam-1597	318	2	,	,	PUNCT
ejpam-1597	318	3	when	when	SCONJ
ejpam-1597	318	4	the	the	DET
ejpam-1597	318	5	model	model	NOUN
ejpam-1597	318	6	is	be	AUX
ejpam-1597	318	7	misspecified	misspecifie	VERB
ejpam-1597	318	8	,	,	PUNCT
ejpam-1597	318	9	this	this	PRON
ejpam-1597	318	10	is	be	AUX
ejpam-1597	318	11	not	not	PART
ejpam-1597	318	12	the	the	DET
ejpam-1597	318	13	case	case	NOUN
ejpam-1597	318	14	.	.	PUNCT
ejpam-1597	319	1	under	under	ADP
ejpam-1597	319	2	misspecification	misspecification	NOUN
ejpam-1597	319	3	,	,	PUNCT
ejpam-1597	319	4	several	several	ADJ
ejpam-1597	319	5	forms	form	NOUN
ejpam-1597	319	6	of	of	ADP
ejpam-1597	319	7	icom	icom	PROPN
ejpam-1597	319	8	p	p	PROPN
ejpam-1597	319	9	previously	previously	ADV
ejpam-1597	319	10	defined	define	VERB
ejpam-1597	319	11	are	be	AUX
ejpam-1597	319	12	given	give	VERB
ejpam-1597	319	13	as	as	SCONJ
ejpam-1597	319	14	follows	follow	VERB
ejpam-1597	319	15	.	.	PUNCT
ejpam-1597	320	1	icom	icom	PROPN
ejpam-1597	320	2	p(ôcov(θ̂))m	p(ôcov(θ̂))m	X
ejpam-1597	320	3	isp	isp	ADV
ejpam-1597	320	4	=	=	PUNCT
ejpam-1597	320	5	−2	−2	NOUN
ejpam-1597	320	6	log	log	NOUN
ejpam-1597	320	7	l(θ̂	l(θ̂	PROPN
ejpam-1597	320	8	|	|	CCONJ
ejpam-1597	320	9	y	y	NOUN
ejpam-1597	320	10	)	)	PUNCT
ejpam-1597	321	1	+	+	CCONJ
ejpam-1597	321	2	2c1(f̂−1r̂f̂−1	2c1(f̂−1r̂f̂−1	NUM
ejpam-1597	321	3	)	)	PUNCT
ejpam-1597	321	4	.	.	PUNCT
ejpam-1597	322	1	(	(	PUNCT
ejpam-1597	322	2	53	53	NUM
ejpam-1597	322	3	)	)	PUNCT
ejpam-1597	322	4	icom	icom	NOUN
ejpam-1597	322	5	p(ôcov(θ̂))m	p(ôcov(θ̂))m	X
ejpam-1597	322	6	isp_peu	isp_peu	NOUN
ejpam-1597	323	1	=	=	PUNCT
ejpam-1597	324	1	−2	−2	PROPN
ejpam-1597	325	1	log	log	NOUN
ejpam-1597	326	1	l(θ̂	l(θ̂	PROPN
ejpam-1597	327	1	|	|	CCONJ
ejpam-1597	327	2	y	y	NOUN
ejpam-1597	327	3	)	)	PUNCT
ejpam-1597	328	1	+	+	CCONJ
ejpam-1597	328	2	tr(f̂−1r̂	tr(f̂−1r̂	NOUN
ejpam-1597	328	3	)	)	PUNCT
ejpam-1597	328	4	+	+	CCONJ
ejpam-1597	328	5	2c1(f̂−1r̂f̂−1	2c1(f̂−1r̂f̂−1	NUM
ejpam-1597	328	6	)	)	PUNCT
ejpam-1597	328	7	.	.	PUNCT
ejpam-1597	329	1	(	(	PUNCT
ejpam-1597	329	2	54	54	NUM
ejpam-1597	329	3	)	)	PUNCT
ejpam-1597	329	4	icom	icom	NOUN
ejpam-1597	329	5	p(ôcov(θ̂))m	p(ôcov(θ̂))m	NUM
ejpam-1597	329	6	isp_peu_ln	isp_peu_ln	PROPN
ejpam-1597	329	7	=	=	PUNCT
ejpam-1597	329	8	−2	−2	PROPN
ejpam-1597	329	9	log	log	NOUN
ejpam-1597	329	10	l(θ̂	l(θ̂	PROPN
ejpam-1597	329	11	|	|	CCONJ
ejpam-1597	329	12	y	y	NOUN
ejpam-1597	329	13	)	)	PUNCT
ejpam-1597	330	1	+	+	CCONJ
ejpam-1597	330	2	tr(f̂−1r̂	tr(f̂−1r̂	X
ejpam-1597	330	3	)	)	PUNCT
ejpam-1597	330	4	+	+	NUM
ejpam-1597	330	5	log(n)c1(f̂−1r̂f̂−1	log(n)c1(f̂−1r̂f̂−1	NOUN
ejpam-1597	330	6	)	)	PUNCT
ejpam-1597	330	7	.	.	PUNCT
ejpam-1597	331	1	(	(	PUNCT
ejpam-1597	331	2	55	55	NUM
ejpam-1597	331	3	)	)	PUNCT
ejpam-1597	331	4	in	in	ADP
ejpam-1597	331	5	the	the	DET
ejpam-1597	331	6	next	next	ADJ
ejpam-1597	331	7	section	section	NOUN
ejpam-1597	331	8	,	,	PUNCT
ejpam-1597	331	9	we	we	PRON
ejpam-1597	331	10	will	will	AUX
ejpam-1597	331	11	see	see	VERB
ejpam-1597	331	12	how	how	SCONJ
ejpam-1597	331	13	m	m	VERB
ejpam-1597	331	14	got	get	AUX
ejpam-1597	331	15	transformed	transform	VERB
ejpam-1597	331	16	into	into	ADP
ejpam-1597	331	17	tr(f̂−1r̂	tr(f̂−1r̂	NOUN
ejpam-1597	331	18	)	)	PUNCT
ejpam-1597	331	19	in	in	ADP
ejpam-1597	331	20	the	the	DET
ejpam-1597	331	21	latter	latter	ADJ
ejpam-1597	331	22	two	two	NUM
ejpam-1597	331	23	.	.	PUNCT
ejpam-1597	332	1	result	result	VERB
ejpam-1597	332	2	1	1	NUM
ejpam-1597	332	3	.	.	PUNCT
ejpam-1597	333	1	if	if	SCONJ
ejpam-1597	333	2	icom	icom	PROPN
ejpam-1597	333	3	p	p	PROPN
ejpam-1597	333	4	6=	6=	PROPN
ejpam-1597	333	5	icom	icom	PROPN
ejpam-1597	333	6	pm	pm	VERB
ejpam-1597	333	7	isp	isp	ADV
ejpam-1597	333	8	we	we	PRON
ejpam-1597	333	9	say	say	VERB
ejpam-1597	333	10	the	the	DET
ejpam-1597	333	11	model	model	NOUN
ejpam-1597	333	12	is	be	AUX
ejpam-1597	333	13	misspecified	misspecifie	VERB
ejpam-1597	333	14	,	,	PUNCT
ejpam-1597	333	15	or	or	CCONJ
ejpam-1597	333	16	equivalently	equivalently	ADV
ejpam-1597	333	17	c1(ôcov(θ̂	c1(ôcov(θ̂	ADJ
ejpam-1597	333	18	)	)	PUNCT
ejpam-1597	333	19	)	)	PUNCT
ejpam-1597	334	1	6=	6=	X
ejpam-1597	334	2	c1(f̂−1	c1(f̂−1	NUM
ejpam-1597	334	3	)	)	PUNCT
ejpam-1597	334	4	.	.	PUNCT
ejpam-1597	335	1	h.	h.	PROPN
ejpam-1597	335	2	bozdogan	bozdogan	PROPN
ejpam-1597	335	3	,	,	PUNCT
ejpam-1597	335	4	j.	j.	PROPN
ejpam-1597	335	5	howe	howe	PROPN
ejpam-1597	335	6	/	/	SYM
ejpam-1597	335	7	eur	eur	PROPN
ejpam-1597	335	8	.	.	PUNCT
ejpam-1597	336	1	j.	j.	PROPN
ejpam-1597	336	2	pure	pure	PROPN
ejpam-1597	336	3	appl	appl	PROPN
ejpam-1597	336	4	.	.	PROPN
ejpam-1597	336	5	math	math	PROPN
ejpam-1597	336	6	,	,	PUNCT
ejpam-1597	336	7	5	5	NUM
ejpam-1597	336	8	(	(	PUNCT
ejpam-1597	336	9	2012	2012	NUM
ejpam-1597	336	10	)	)	PUNCT
ejpam-1597	336	11	,	,	PUNCT
ejpam-1597	336	12	211	211	NUM
ejpam-1597	336	13	-	-	SYM
ejpam-1597	336	14	249	249	NUM
ejpam-1597	336	15	225	225	NUM
ejpam-1597	336	16	3.3	3.3	NUM
ejpam-1597	336	17	.	.	PUNCT
ejpam-1597	337	1	bias	bias	NOUN
ejpam-1597	337	2	of	of	ADP
ejpam-1597	337	3	the	the	DET
ejpam-1597	337	4	penalty	penalty	NOUN
ejpam-1597	337	5	when	when	SCONJ
ejpam-1597	337	6	we	we	PRON
ejpam-1597	337	7	assume	assume	VERB
ejpam-1597	337	8	that	that	SCONJ
ejpam-1597	337	9	the	the	DET
ejpam-1597	337	10	true	true	ADJ
ejpam-1597	337	11	distribution	distribution	NOUN
ejpam-1597	337	12	does	do	AUX
ejpam-1597	337	13	not	not	PART
ejpam-1597	337	14	belong	belong	VERB
ejpam-1597	337	15	to	to	ADP
ejpam-1597	337	16	the	the	DET
ejpam-1597	337	17	specified	specify	VERB
ejpam-1597	337	18	parametric	parametric	ADJ
ejpam-1597	337	19	family	family	NOUN
ejpam-1597	337	20	of	of	ADP
ejpam-1597	337	21	pdfs	pdfs	PROPN
ejpam-1597	337	22	,	,	PUNCT
ejpam-1597	337	23	that	that	ADV
ejpam-1597	337	24	is	is	ADV
ejpam-1597	337	25	,	,	PUNCT
ejpam-1597	337	26	if	if	SCONJ
ejpam-1597	337	27	the	the	DET
ejpam-1597	337	28	parameter	parameter	NOUN
ejpam-1597	337	29	vector	vector	NOUN
ejpam-1597	337	30	θ	θ	PROPN
ejpam-1597	337	31	of	of	ADP
ejpam-1597	337	32	the	the	DET
ejpam-1597	337	33	distribution	distribution	NOUN
ejpam-1597	337	34	is	be	AUX
ejpam-1597	337	35	unknown	unknown	ADJ
ejpam-1597	337	36	and	and	CCONJ
ejpam-1597	337	37	is	be	AUX
ejpam-1597	337	38	estimated	estimate	VERB
ejpam-1597	337	39	by	by	ADP
ejpam-1597	337	40	maximizing	maximize	VERB
ejpam-1597	337	41	the	the	DET
ejpam-1597	337	42	likelihood	likelihood	NOUN
ejpam-1597	337	43	,	,	PUNCT
ejpam-1597	337	44	then	then	ADV
ejpam-1597	337	45	it	it	PRON
ejpam-1597	337	46	is	be	AUX
ejpam-1597	337	47	not	not	PART
ejpam-1597	337	48	any	any	PRON
ejpam-1597	337	49	longer	long	ADV
ejpam-1597	337	50	true	true	ADJ
ejpam-1597	337	51	that	that	SCONJ
ejpam-1597	337	52	the	the	DET
ejpam-1597	337	53	average	average	NOUN
ejpam-1597	337	54	of	of	ADP
ejpam-1597	337	55	the	the	DET
ejpam-1597	337	56	maximized	maximize	VERB
ejpam-1597	337	57	log	log	NOUN
ejpam-1597	337	58	likelihood	likelihood	NOUN
ejpam-1597	337	59	converges	converge	NOUN
ejpam-1597	337	60	to	to	ADP
ejpam-1597	337	61	the	the	DET
ejpam-1597	337	62	expected	expect	VERB
ejpam-1597	337	63	value	value	NOUN
ejpam-1597	337	64	of	of	ADP
ejpam-1597	337	65	the	the	DET
ejpam-1597	337	66	parameterized	parameterized	ADJ
ejpam-1597	337	67	log	log	NOUN
ejpam-1597	337	68	likelihood	likelihood	NOUN
ejpam-1597	337	69	.	.	PUNCT
ejpam-1597	338	1	that	that	PRON
ejpam-1597	338	2	is	be	AUX
ejpam-1597	338	3	,	,	PUNCT
ejpam-1597	338	4	1	1	NUM
ejpam-1597	338	5	n	n	NOUN
ejpam-1597	338	6	log	log	NOUN
ejpam-1597	338	7	l(θ̂	l(θ̂	PROPN
ejpam-1597	338	8	|	|	CCONJ
ejpam-1597	338	9	y	y	NOUN
ejpam-1597	338	10	)	)	PUNCT
ejpam-1597	338	11	=	=	SYM
ejpam-1597	339	1	1	1	NUM
ejpam-1597	339	2	n	n	NUM
ejpam-1597	339	3	n∑	n∑	NOUN
ejpam-1597	339	4	i=1	i=1	PROPN
ejpam-1597	339	5	log	log	NOUN
ejpam-1597	339	6	f	f	PROPN
ejpam-1597	340	1	(	(	PUNCT
ejpam-1597	340	2	yi	yi	PROPN
ejpam-1597	340	3	|	|	ADV
ejpam-1597	340	4	θ̂	θ̂	VERB
ejpam-1597	340	5	)	)	PUNCT
ejpam-1597	340	6	9	9	NUM
ejpam-1597	340	7	ey	ey	PRON
ejpam-1597	340	8	�	�	PROPN
ejpam-1597	340	9	log	log	NOUN
ejpam-1597	340	10	f	f	PROPN
ejpam-1597	340	11	(	(	PUNCT
ejpam-1597	340	12	y	y	PROPN
ejpam-1597	340	13	|	|	ADV
ejpam-1597	340	14	θ̂	θ̂	VERB
ejpam-1597	340	15	)	)	PUNCT
ejpam-1597	340	16	�	�	PROPN
ejpam-1597	340	17	.	.	PUNCT
ejpam-1597	341	1	(	(	PUNCT
ejpam-1597	341	2	56	56	NUM
ejpam-1597	341	3	)	)	PUNCT
ejpam-1597	341	4	in	in	ADP
ejpam-1597	341	5	this	this	DET
ejpam-1597	341	6	case	case	NOUN
ejpam-1597	341	7	,	,	PUNCT
ejpam-1597	341	8	the	the	DET
ejpam-1597	341	9	asymptotic	asymptotic	ADJ
ejpam-1597	341	10	bias	bias	NOUN
ejpam-1597	341	11	,	,	PUNCT
ejpam-1597	341	12	b	b	NOUN
ejpam-1597	341	13	,	,	PUNCT
ejpam-1597	341	14	between	between	ADP
ejpam-1597	341	15	these	these	DET
ejpam-1597	341	16	two	two	NUM
ejpam-1597	341	17	terms	term	NOUN
ejpam-1597	341	18	is	be	AUX
ejpam-1597	341	19	given	give	VERB
ejpam-1597	341	20	by	by	ADP
ejpam-1597	341	21	b	b	NOUN
ejpam-1597	341	22	=	=	SYM
ejpam-1597	341	23	eg	eg	NOUN
ejpam-1597	341	24	1	1	NUM
ejpam-1597	341	25	n	n	NUM
ejpam-1597	341	26	n∑	n∑	NOUN
ejpam-1597	342	1	i=1	i=1	PROPN
ejpam-1597	342	2	log	log	NOUN
ejpam-1597	342	3	f	f	PROPN
ejpam-1597	343	1	(	(	PUNCT
ejpam-1597	343	2	yi	yi	PROPN
ejpam-1597	343	3	|	|	ADV
ejpam-1597	343	4	θ̂	θ̂	PRON
ejpam-1597	343	5	)	)	PUNCT
ejpam-1597	343	6	−	−	PROPN
ejpam-1597	344	1	∫	∫	PROPN
ejpam-1597	344	2	r	r	NOUN
ejpam-1597	344	3	log	log	NOUN
ejpam-1597	344	4	f	f	PROPN
ejpam-1597	344	5	(	(	PUNCT
ejpam-1597	344	6	y	y	PROPN
ejpam-1597	344	7	|	|	PROPN
ejpam-1597	344	8	θ̂)dg(y	θ̂)dg(y	PROPN
ejpam-1597	344	9	)	)	PUNCT
ejpam-1597	344	10	!	!	PUNCT
ejpam-1597	345	1	=	=	SYM
ejpam-1597	346	1	1	1	NUM
ejpam-1597	346	2	n	n	PRON
ejpam-1597	346	3	tr(f−1r)+o(n−2	tr(f−1r)+o(n−2	PROPN
ejpam-1597	346	4	)	)	PUNCT
ejpam-1597	346	5	,	,	PUNCT
ejpam-1597	346	6	(	(	PUNCT
ejpam-1597	346	7	57	57	NUM
ejpam-1597	346	8	)	)	PUNCT
ejpam-1597	346	9	where	where	SCONJ
ejpam-1597	346	10	the	the	DET
ejpam-1597	346	11	expectation	expectation	NOUN
ejpam-1597	346	12	is	be	AUX
ejpam-1597	346	13	taken	take	VERB
ejpam-1597	346	14	over	over	ADP
ejpam-1597	346	15	the	the	DET
ejpam-1597	346	16	true	true	ADJ
ejpam-1597	346	17	distribution	distribution	NOUN
ejpam-1597	346	18	g	g	NOUN
ejpam-1597	346	19	=	=	SYM
ejpam-1597	346	20	∏n	∏n	PROPN
ejpam-1597	346	21	i=1	i=1	PROPN
ejpam-1597	346	22	g(yi	g(yi	PROPN
ejpam-1597	346	23	)	)	PUNCT
ejpam-1597	347	1	[	[	X
ejpam-1597	347	2	22	22	NUM
ejpam-1597	347	3	]	]	PUNCT
ejpam-1597	347	4	.	.	PUNCT
ejpam-1597	348	1	we	we	PRON
ejpam-1597	348	2	note	note	VERB
ejpam-1597	348	3	that	that	SCONJ
ejpam-1597	348	4	tr(f−1r	tr(f−1r	NOUN
ejpam-1597	348	5	)	)	PUNCT
ejpam-1597	348	6	is	be	AUX
ejpam-1597	348	7	the	the	DET
ejpam-1597	348	8	well	well	ADV
ejpam-1597	348	9	known	know	VERB
ejpam-1597	348	10	lagrange	lagrange	NOUN
ejpam-1597	348	11	-	-	PUNCT
ejpam-1597	348	12	multiplier	multipli	ADJ
ejpam-1597	348	13	test	test	NOUN
ejpam-1597	348	14	statistic	statistic	NOUN
ejpam-1597	348	15	.	.	PUNCT
ejpam-1597	349	1	see	see	VERB
ejpam-1597	349	2	,	,	PUNCT
ejpam-1597	349	3	for	for	ADP
ejpam-1597	349	4	example	example	NOUN
ejpam-1597	349	5	,	,	PUNCT
ejpam-1597	349	6	[	[	X
ejpam-1597	349	7	40	40	NUM
ejpam-1597	349	8	,	,	PUNCT
ejpam-1597	349	9	20	20	NUM
ejpam-1597	349	10	,	,	PUNCT
ejpam-1597	349	11	38	38	NUM
ejpam-1597	349	12	]	]	PUNCT
ejpam-1597	349	13	.	.	PUNCT
ejpam-1597	350	1	since	since	SCONJ
ejpam-1597	350	2	we	we	PRON
ejpam-1597	350	3	typically	typically	ADV
ejpam-1597	350	4	have	have	VERB
ejpam-1597	350	5	mle	mle	NOUN
ejpam-1597	350	6	’s	’s	PART
ejpam-1597	350	7	and	and	CCONJ
ejpam-1597	350	8	not	not	PART
ejpam-1597	350	9	true	true	ADJ
ejpam-1597	350	10	parameter	parameter	NOUN
ejpam-1597	350	11	values	value	NOUN
ejpam-1597	350	12	,	,	PUNCT
ejpam-1597	350	13	we	we	PRON
ejpam-1597	350	14	have	have	VERB
ejpam-1597	350	15	to	to	PART
ejpam-1597	350	16	estimate	estimate	VERB
ejpam-1597	350	17	the	the	DET
ejpam-1597	350	18	bias	bias	NOUN
ejpam-1597	350	19	using	use	VERB
ejpam-1597	350	20	bb	bb	NOUN
ejpam-1597	350	21	=	=	SYM
ejpam-1597	350	22	1	1	NUM
ejpam-1597	350	23	n	n	PRON
ejpam-1597	350	24	tr(f̂−1r̂	tr(f̂−1r̂	NUM
ejpam-1597	350	25	)	)	PUNCT
ejpam-1597	350	26	.	.	PUNCT
ejpam-1597	351	1	(	(	PUNCT
ejpam-1597	351	2	58	58	NUM
ejpam-1597	351	3	)	)	PUNCT
ejpam-1597	351	4	thus	thus	ADV
ejpam-1597	351	5	,	,	PUNCT
ejpam-1597	351	6	we	we	PRON
ejpam-1597	351	7	have	have	VERB
ejpam-1597	351	8	:	:	PUNCT
ejpam-1597	351	9	generalized	generalize	VERB
ejpam-1597	351	10	akaike	akaike	ADP
ejpam-1597	351	11	’s	’s	PART
ejpam-1597	351	12	information	information	NOUN
ejpam-1597	351	13	criterion	criterion	NOUN
ejpam-1597	351	14	,	,	PUNCT
ejpam-1597	351	15	gaic	gaic	PROPN
ejpam-1597	351	16	,	,	PUNCT
ejpam-1597	351	17	defined	define	VERB
ejpam-1597	351	18	by	by	ADP
ejpam-1597	351	19	gaic	gaic	ADJ
ejpam-1597	352	1	=	=	SYM
ejpam-1597	352	2	−2	−2	NOUN
ejpam-1597	353	1	n∑	n∑	INTJ
ejpam-1597	354	1	i=1	i=1	PROPN
ejpam-1597	355	1	log	log	NOUN
ejpam-1597	355	2	f	f	PROPN
ejpam-1597	355	3	(	(	PUNCT
ejpam-1597	355	4	yi	yi	PROPN
ejpam-1597	355	5	|	|	ADV
ejpam-1597	355	6	θ̂	θ̂	PRON
ejpam-1597	355	7	)	)	PUNCT
ejpam-1597	356	1	+	+	CCONJ
ejpam-1597	356	2	2	2	NUM
ejpam-1597	356	3	tr(f̂−1r̂	tr(f̂−1r̂	NUM
ejpam-1597	356	4	)	)	PUNCT
ejpam-1597	356	5	=	=	SYM
ejpam-1597	357	1	−2	−2	NOUN
ejpam-1597	357	2	log	log	NOUN
ejpam-1597	357	3	l(θ̂	l(θ̂	PROPN
ejpam-1597	357	4	|	|	CCONJ
ejpam-1597	357	5	y	y	NOUN
ejpam-1597	357	6	)	)	PUNCT
ejpam-1597	358	1	+	+	CCONJ
ejpam-1597	358	2	2	2	NUM
ejpam-1597	358	3	tr(f̂−1r̂	tr(f̂−1r̂	NUM
ejpam-1597	358	4	)	)	PUNCT
ejpam-1597	358	5	.	.	PUNCT
ejpam-1597	359	1	(	(	PUNCT
ejpam-1597	359	2	59	59	NUM
ejpam-1597	359	3	)	)	PUNCT
ejpam-1597	359	4	in	in	ADP
ejpam-1597	359	5	the	the	DET
ejpam-1597	359	6	literature	literature	NOUN
ejpam-1597	359	7	of	of	ADP
ejpam-1597	359	8	model	model	NOUN
ejpam-1597	359	9	selection	selection	NOUN
ejpam-1597	359	10	,	,	PUNCT
ejpam-1597	359	11	gaic	gaic	PROPN
ejpam-1597	359	12	is	be	AUX
ejpam-1597	359	13	also	also	ADV
ejpam-1597	359	14	known	know	VERB
ejpam-1597	359	15	as	as	ADP
ejpam-1597	359	16	takeuchi	takeuchi	PROPN
ejpam-1597	359	17	’s	’s	PART
ejpam-1597	359	18	[	[	X
ejpam-1597	359	19	40	40	NUM
ejpam-1597	359	20	]	]	PUNCT
ejpam-1597	359	21	information	information	NOUN
ejpam-1597	359	22	criterion	criterion	NOUN
ejpam-1597	359	23	(	(	PUNCT
ejpam-1597	359	24	t	t	PROPN
ejpam-1597	359	25	ic	ic	NUM
ejpam-1597	359	26	)	)	PUNCT
ejpam-1597	359	27	,	,	PUNCT
ejpam-1597	359	28	or	or	CCONJ
ejpam-1597	359	29	aict	aict	VERB
ejpam-1597	359	30	.	.	PUNCT
ejpam-1597	360	1	when	when	SCONJ
ejpam-1597	360	2	the	the	DET
ejpam-1597	360	3	model	model	NOUN
ejpam-1597	360	4	is	be	AUX
ejpam-1597	360	5	correctly	correctly	ADV
ejpam-1597	360	6	specified	specify	VERB
ejpam-1597	360	7	the	the	DET
ejpam-1597	360	8	asymptotic	asymptotic	ADJ
ejpam-1597	360	9	bias	bias	NOUN
ejpam-1597	360	10	reduces	reduce	VERB
ejpam-1597	360	11	to	to	ADP
ejpam-1597	360	12	:	:	PUNCT
ejpam-1597	360	13	b	b	X
ejpam-1597	360	14	=	=	SYM
ejpam-1597	360	15	1	1	NUM
ejpam-1597	360	16	n	n	PRON
ejpam-1597	360	17	tr(f−1r	tr(f−1r	NOUN
ejpam-1597	360	18	)	)	PUNCT
ejpam-1597	361	1	+	+	NOUN
ejpam-1597	361	2	o(n−2	o(n−2	X
ejpam-1597	361	3	)	)	PUNCT
ejpam-1597	361	4	=	=	SYM
ejpam-1597	361	5	1	1	NUM
ejpam-1597	361	6	n	n	NUM
ejpam-1597	361	7	tr(im	tr(im	NOUN
ejpam-1597	361	8	)	)	PUNCT
ejpam-1597	362	1	+	+	NOUN
ejpam-1597	362	2	o(n−2	o(n−2	X
ejpam-1597	362	3	)	)	PUNCT
ejpam-1597	362	4	=	=	SYM
ejpam-1597	362	5	1	1	NUM
ejpam-1597	362	6	n	n	DET
ejpam-1597	362	7	m+o(n−2	m+o(n−2	PROPN
ejpam-1597	362	8	)	)	PUNCT
ejpam-1597	362	9	,	,	PUNCT
ejpam-1597	362	10	which	which	PRON
ejpam-1597	362	11	gives	give	VERB
ejpam-1597	362	12	aic	aic	PROPN
ejpam-1597	362	13	as	as	ADP
ejpam-1597	362	14	a	a	DET
ejpam-1597	362	15	special	special	ADJ
ejpam-1597	362	16	case	case	NOUN
ejpam-1597	362	17	of	of	ADP
ejpam-1597	362	18	gaic	gaic	PROPN
ejpam-1597	362	19	given	give	VERB
ejpam-1597	362	20	by	by	ADP
ejpam-1597	362	21	aic	aic	PROPN
ejpam-1597	362	22	=	=	PROPN
ejpam-1597	362	23	−2	−2	PROPN
ejpam-1597	362	24	log	log	NOUN
ejpam-1597	362	25	l(θ̂	l(θ̂	PROPN
ejpam-1597	363	1	|	|	CCONJ
ejpam-1597	363	2	y	y	NOUN
ejpam-1597	363	3	)	)	PUNCT
ejpam-1597	364	1	+	+	CCONJ
ejpam-1597	364	2	2	2	NUM
ejpam-1597	364	3	m	m	NOUN
ejpam-1597	364	4	,	,	PUNCT
ejpam-1597	364	5	where	where	SCONJ
ejpam-1597	364	6	m	m	NOUN
ejpam-1597	364	7	is	be	AUX
ejpam-1597	364	8	the	the	DET
ejpam-1597	364	9	the	the	DET
ejpam-1597	364	10	number	number	NOUN
ejpam-1597	364	11	of	of	ADP
ejpam-1597	364	12	estimated	estimate	VERB
ejpam-1597	364	13	parameters	parameter	NOUN
ejpam-1597	364	14	within	within	ADP
ejpam-1597	364	15	the	the	DET
ejpam-1597	364	16	model	model	NOUN
ejpam-1597	364	17	.	.	PUNCT
ejpam-1597	365	1	we	we	PRON
ejpam-1597	365	2	note	note	VERB
ejpam-1597	365	3	that	that	SCONJ
ejpam-1597	365	4	the	the	DET
ejpam-1597	365	5	bias	bias	NOUN
ejpam-1597	365	6	in	in	ADP
ejpam-1597	365	7	aic	aic	PROPN
ejpam-1597	365	8	is	be	AUX
ejpam-1597	365	9	fixed	fix	VERB
ejpam-1597	365	10	and	and	CCONJ
ejpam-1597	365	11	has	have	VERB
ejpam-1597	365	12	no	no	DET
ejpam-1597	365	13	variability	variability	NOUN
ejpam-1597	365	14	.	.	PUNCT
ejpam-1597	366	1	other	other	ADJ
ejpam-1597	366	2	higher	high	ADJ
ejpam-1597	366	3	order	order	NOUN
ejpam-1597	366	4	bias	bias	NOUN
ejpam-1597	366	5	correction	correction	NOUN
ejpam-1597	366	6	in	in	ADP
ejpam-1597	366	7	model	model	NOUN
ejpam-1597	366	8	selection	selection	PROPN
ejpam-1597	366	9	h.	h.	PROPN
ejpam-1597	366	10	bozdogan	bozdogan	PROPN
ejpam-1597	366	11	,	,	PUNCT
ejpam-1597	366	12	j.	j.	PROPN
ejpam-1597	366	13	howe	howe	PROPN
ejpam-1597	366	14	/	/	SYM
ejpam-1597	366	15	eur	eur	PROPN
ejpam-1597	366	16	.	.	PUNCT
ejpam-1597	367	1	j.	j.	PROPN
ejpam-1597	367	2	pure	pure	PROPN
ejpam-1597	367	3	appl	appl	PROPN
ejpam-1597	367	4	.	.	PROPN
ejpam-1597	367	5	math	math	PROPN
ejpam-1597	367	6	,	,	PUNCT
ejpam-1597	367	7	5	5	NUM
ejpam-1597	367	8	(	(	PUNCT
ejpam-1597	367	9	2012	2012	NUM
ejpam-1597	367	10	)	)	PUNCT
ejpam-1597	367	11	,	,	PUNCT
ejpam-1597	367	12	211	211	NUM
ejpam-1597	367	13	-	-	SYM
ejpam-1597	367	14	249	249	NUM
ejpam-1597	367	15	226	226	NUM
ejpam-1597	367	16	criteria	criterion	NOUN
ejpam-1597	367	17	is	be	AUX
ejpam-1597	367	18	possible	possible	ADJ
ejpam-1597	367	19	,	,	PUNCT
ejpam-1597	367	20	and	and	CCONJ
ejpam-1597	367	21	their	their	PRON
ejpam-1597	367	22	asymptotic	asymptotic	ADJ
ejpam-1597	367	23	properties	property	NOUN
ejpam-1597	367	24	are	be	AUX
ejpam-1597	367	25	well	well	ADV
ejpam-1597	367	26	explained	explain	VERB
ejpam-1597	367	27	in	in	ADP
ejpam-1597	367	28	[	[	X
ejpam-1597	367	29	23	23	NUM
ejpam-1597	367	30	,	,	PUNCT
ejpam-1597	367	31	p.	p.	NOUN
ejpam-1597	367	32	176	176	NUM
ejpam-1597	367	33	]	]	PUNCT
ejpam-1597	367	34	.	.	PUNCT
ejpam-1597	368	1	when	when	SCONJ
ejpam-1597	368	2	the	the	DET
ejpam-1597	368	3	true	true	ADJ
ejpam-1597	368	4	model	model	NOUN
ejpam-1597	368	5	is	be	AUX
ejpam-1597	368	6	not	not	PART
ejpam-1597	368	7	in	in	ADP
ejpam-1597	368	8	the	the	DET
ejpam-1597	368	9	model	model	NOUN
ejpam-1597	368	10	set	set	NOUN
ejpam-1597	368	11	considered	consider	VERB
ejpam-1597	368	12	,	,	PUNCT
ejpam-1597	368	13	which	which	PRON
ejpam-1597	368	14	is	be	AUX
ejpam-1597	368	15	often	often	ADV
ejpam-1597	368	16	the	the	DET
ejpam-1597	368	17	case	case	NOUN
ejpam-1597	368	18	in	in	ADP
ejpam-1597	368	19	practice	practice	NOUN
ejpam-1597	368	20	,	,	PUNCT
ejpam-1597	368	21	aic	aic	PROPN
ejpam-1597	368	22	will	will	AUX
ejpam-1597	368	23	have	have	VERB
ejpam-1597	368	24	difficulties	difficulty	NOUN
ejpam-1597	368	25	identifying	identify	VERB
ejpam-1597	368	26	the	the	DET
ejpam-1597	368	27	best	good	ADJ
ejpam-1597	368	28	fitting	fitting	ADJ
ejpam-1597	368	29	model	model	NOUN
ejpam-1597	368	30	,	,	PUNCT
ejpam-1597	368	31	as	as	SCONJ
ejpam-1597	368	32	it	it	PRON
ejpam-1597	368	33	does	do	AUX
ejpam-1597	368	34	not	not	PART
ejpam-1597	368	35	penalize	penalize	VERB
ejpam-1597	368	36	the	the	DET
ejpam-1597	368	37	presence	presence	NOUN
ejpam-1597	368	38	of	of	ADP
ejpam-1597	368	39	skewness	skewness	NOUN
ejpam-1597	368	40	and	and	CCONJ
ejpam-1597	368	41	kurtosis	kurtosis	NOUN
ejpam-1597	368	42	.	.	PUNCT
ejpam-1597	369	1	we	we	PRON
ejpam-1597	369	2	do	do	AUX
ejpam-1597	369	3	not	not	PART
ejpam-1597	369	4	claim	claim	VERB
ejpam-1597	369	5	that	that	SCONJ
ejpam-1597	369	6	the	the	DET
ejpam-1597	369	7	icom	icom	PROPN
ejpam-1597	369	8	p	p	NOUN
ejpam-1597	369	9	criterion	criterion	NOUN
ejpam-1597	369	10	derived	derive	VERB
ejpam-1597	369	11	in	in	ADP
ejpam-1597	369	12	this	this	DET
ejpam-1597	369	13	paper	paper	NOUN
ejpam-1597	369	14	captures	capture	VERB
ejpam-1597	369	15	all	all	DET
ejpam-1597	369	16	forms	form	NOUN
ejpam-1597	369	17	of	of	ADP
ejpam-1597	369	18	model	model	NOUN
ejpam-1597	369	19	misspecification	misspecification	NOUN
ejpam-1597	369	20	.	.	PUNCT
ejpam-1597	370	1	we	we	PRON
ejpam-1597	370	2	only	only	ADV
ejpam-1597	370	3	pay	pay	VERB
ejpam-1597	370	4	attention	attention	NOUN
ejpam-1597	370	5	to	to	ADP
ejpam-1597	370	6	the	the	DET
ejpam-1597	370	7	case	case	NOUN
ejpam-1597	370	8	where	where	SCONJ
ejpam-1597	370	9	the	the	DET
ejpam-1597	370	10	probabilistic	probabilistic	ADJ
ejpam-1597	370	11	distributional	distributional	ADJ
ejpam-1597	370	12	form	form	NOUN
ejpam-1597	370	13	of	of	ADP
ejpam-1597	370	14	the	the	DET
ejpam-1597	370	15	fitted	fit	VERB
ejpam-1597	370	16	model	model	NOUN
ejpam-1597	370	17	departs	depart	VERB
ejpam-1597	370	18	from	from	ADP
ejpam-1597	370	19	normality	normality	NOUN
ejpam-1597	370	20	within	within	ADP
ejpam-1597	370	21	the	the	DET
ejpam-1597	370	22	multivariate	multivariate	NOUN
ejpam-1597	370	23	regression	regression	NOUN
ejpam-1597	370	24	framework	framework	NOUN
ejpam-1597	370	25	.	.	PUNCT
ejpam-1597	371	1	in	in	ADP
ejpam-1597	371	2	reviewing	review	VERB
ejpam-1597	371	3	the	the	DET
ejpam-1597	371	4	literature	literature	NOUN
ejpam-1597	371	5	,	,	PUNCT
ejpam-1597	371	6	we	we	PRON
ejpam-1597	371	7	note	note	VERB
ejpam-1597	371	8	that	that	SCONJ
ejpam-1597	371	9	sawa	sawa	PROPN
ejpam-1597	371	10	’s	’s	PART
ejpam-1597	371	11	[	[	X
ejpam-1597	371	12	see	see	VERB
ejpam-1597	371	13	36	36	NUM
ejpam-1597	371	14	]	]	X
ejpam-1597	371	15	bic	bic	PROPN
ejpam-1597	371	16	(	(	PUNCT
ejpam-1597	371	17	should	should	AUX
ejpam-1597	371	18	not	not	PART
ejpam-1597	371	19	be	be	AUX
ejpam-1597	371	20	confused	confuse	VERB
ejpam-1597	371	21	with	with	ADP
ejpam-1597	371	22	sbc	sbc	NOUN
ejpam-1597	371	23	which	which	PRON
ejpam-1597	371	24	is	be	AUX
ejpam-1597	371	25	also	also	ADV
ejpam-1597	371	26	sometimes	sometimes	ADV
ejpam-1597	371	27	referred	refer	VERB
ejpam-1597	371	28	to	to	ADP
ejpam-1597	371	29	as	as	ADP
ejpam-1597	371	30	bic	bic	PROPN
ejpam-1597	371	31	)	)	PUNCT
ejpam-1597	371	32	also	also	ADV
ejpam-1597	371	33	adjusts	adjust	VERB
ejpam-1597	371	34	penalization	penalization	NOUN
ejpam-1597	371	35	according	accord	VERB
ejpam-1597	371	36	to	to	ADP
ejpam-1597	371	37	misspecification	misspecification	NOUN
ejpam-1597	371	38	,	,	PUNCT
ejpam-1597	371	39	but	but	CCONJ
ejpam-1597	371	40	there	there	PRON
ejpam-1597	371	41	is	be	VERB
ejpam-1597	371	42	no	no	DET
ejpam-1597	371	43	relationship	relationship	NOUN
ejpam-1597	371	44	between	between	ADP
ejpam-1597	371	45	icom	icom	PROPN
ejpam-1597	371	46	p	p	PROPN
ejpam-1597	371	47	and	and	CCONJ
ejpam-1597	371	48	bic	bic	PROPN
ejpam-1597	371	49	,	,	PUNCT
ejpam-1597	371	50	except	except	SCONJ
ejpam-1597	371	51	perhaps	perhaps	ADV
ejpam-1597	371	52	that	that	SCONJ
ejpam-1597	371	53	the	the	DET
ejpam-1597	371	54	underlying	underlie	VERB
ejpam-1597	371	55	formulation	formulation	NOUN
ejpam-1597	371	56	of	of	ADP
ejpam-1597	371	57	the	the	DET
ejpam-1597	371	58	two	two	NUM
ejpam-1597	371	59	criteria	criterion	NOUN
ejpam-1597	371	60	are	be	AUX
ejpam-1597	371	61	both	both	PRON
ejpam-1597	371	62	based	base	VERB
ejpam-1597	371	63	on	on	ADP
ejpam-1597	371	64	the	the	DET
ejpam-1597	371	65	kl	kl	PROPN
ejpam-1597	371	66	information	information	NOUN
ejpam-1597	371	67	.	.	PUNCT
ejpam-1597	372	1	sawa	sawa	PROPN
ejpam-1597	372	2	’s	’s	PART
ejpam-1597	372	3	penalty	penalty	NOUN
ejpam-1597	372	4	term	term	NOUN
ejpam-1597	372	5	is	be	AUX
ejpam-1597	372	6	not	not	PART
ejpam-1597	372	7	an	an	DET
ejpam-1597	372	8	entropic	entropic	ADJ
ejpam-1597	372	9	function	function	NOUN
ejpam-1597	372	10	of	of	ADP
ejpam-1597	372	11	the	the	DET
ejpam-1597	372	12	complexity	complexity	NOUN
ejpam-1597	372	13	of	of	ADP
ejpam-1597	372	14	the	the	DET
ejpam-1597	372	15	estimated	estimate	VERB
ejpam-1597	372	16	sandwich	sandwich	NOUN
ejpam-1597	372	17	covariance	covariance	NOUN
ejpam-1597	372	18	matrix	matrix	NOUN
ejpam-1597	372	19	of	of	ADP
ejpam-1597	372	20	the	the	DET
ejpam-1597	372	21	model	model	NOUN
ejpam-1597	372	22	.	.	PUNCT
ejpam-1597	373	1	as	as	SCONJ
ejpam-1597	373	2	shown	show	VERB
ejpam-1597	373	3	above	above	ADV
ejpam-1597	373	4	,	,	PUNCT
ejpam-1597	373	5	the	the	DET
ejpam-1597	373	6	icom	icom	PROPN
ejpam-1597	373	7	p	p	PROPN
ejpam-1597	373	8	criterion	criterion	NOUN
ejpam-1597	373	9	can	can	AUX
ejpam-1597	373	10	be	be	AUX
ejpam-1597	373	11	seen	see	VERB
ejpam-1597	373	12	as	as	ADP
ejpam-1597	373	13	an	an	DET
ejpam-1597	373	14	approximation	approximation	NOUN
ejpam-1597	373	15	to	to	ADP
ejpam-1597	373	16	the	the	DET
ejpam-1597	373	17	sum	sum	NOUN
ejpam-1597	373	18	of	of	ADP
ejpam-1597	373	19	two	two	NUM
ejpam-1597	373	20	kl	kl	NOUN
ejpam-1597	373	21	distances	distance	NOUN
ejpam-1597	373	22	.	.	PUNCT
ejpam-1597	374	1	similarly	similarly	ADV
ejpam-1597	374	2	,	,	PUNCT
ejpam-1597	374	3	icom	icom	PROPN
ejpam-1597	374	4	p	p	PROPN
ejpam-1597	374	5	is	be	AUX
ejpam-1597	374	6	not	not	PART
ejpam-1597	374	7	necessarily	necessarily	ADV
ejpam-1597	374	8	related	relate	VERB
ejpam-1597	374	9	to	to	ADP
ejpam-1597	374	10	wei	wei	PROPN
ejpam-1597	374	11	’s	’s	PART
ejpam-1597	374	12	[	[	X
ejpam-1597	374	13	see	see	ADJ
ejpam-1597	374	14	43	43	NUM
ejpam-1597	374	15	,	,	PUNCT
ejpam-1597	374	16	page	page	NOUN
ejpam-1597	374	17	30	30	NUM
ejpam-1597	374	18	]	]	PUNCT
ejpam-1597	374	19	fisher	fisher	PROPN
ejpam-1597	374	20	information	information	NOUN
ejpam-1597	374	21	criterion	criterion	NOUN
ejpam-1597	374	22	(	(	PUNCT
ejpam-1597	374	23	f	f	PROPN
ejpam-1597	374	24	ic	ic	PROPN
ejpam-1597	374	25	)	)	PUNCT
ejpam-1597	374	26	in	in	ADP
ejpam-1597	374	27	the	the	DET
ejpam-1597	374	28	standard	standard	ADJ
ejpam-1597	374	29	multiple	multiple	ADJ
ejpam-1597	374	30	regression	regression	NOUN
ejpam-1597	374	31	model	model	NOUN
ejpam-1597	374	32	.	.	PUNCT
ejpam-1597	375	1	in	in	ADP
ejpam-1597	375	2	f	f	PROPN
ejpam-1597	375	3	ic	ic	PROPN
ejpam-1597	375	4	,	,	PUNCT
ejpam-1597	375	5	the	the	DET
ejpam-1597	375	6	incorporation	incorporation	NOUN
ejpam-1597	375	7	of	of	ADP
ejpam-1597	375	8	the	the	DET
ejpam-1597	375	9	determinant	determinant	NOUN
ejpam-1597	375	10	of	of	ADP
ejpam-1597	375	11	the	the	DET
ejpam-1597	375	12	fisher	fisher	PROPN
ejpam-1597	375	13	information	information	NOUN
ejpam-1597	375	14	is	be	AUX
ejpam-1597	375	15	not	not	PART
ejpam-1597	375	16	based	base	VERB
ejpam-1597	375	17	on	on	ADP
ejpam-1597	375	18	any	any	DET
ejpam-1597	375	19	theoretical	theoretical	ADJ
ejpam-1597	375	20	grounds	ground	NOUN
ejpam-1597	375	21	such	such	ADJ
ejpam-1597	375	22	as	as	ADP
ejpam-1597	375	23	the	the	DET
ejpam-1597	375	24	entropic	entropic	ADJ
ejpam-1597	375	25	complexity	complexity	NOUN
ejpam-1597	375	26	measure	measure	NOUN
ejpam-1597	375	27	of	of	ADP
ejpam-1597	375	28	the	the	DET
ejpam-1597	375	29	covariance	covariance	NOUN
ejpam-1597	375	30	matrix	matrix	NOUN
ejpam-1597	375	31	in	in	ADP
ejpam-1597	375	32	icom	icom	PROPN
ejpam-1597	376	1	p.	p.	PROPN
ejpam-1597	376	2	f	f	PROPN
ejpam-1597	377	1	ic	ic	PROPN
ejpam-1597	377	2	is	be	AUX
ejpam-1597	377	3	more	more	ADV
ejpam-1597	377	4	related	related	ADJ
ejpam-1597	377	5	to	to	ADP
ejpam-1597	377	6	the	the	DET
ejpam-1597	377	7	predictive	predictive	ADJ
ejpam-1597	377	8	least	least	ADJ
ejpam-1597	377	9	squares	square	NOUN
ejpam-1597	377	10	(	(	PUNCT
ejpam-1597	377	11	pls	pls	INTJ
ejpam-1597	377	12	)	)	PUNCT
ejpam-1597	377	13	criterion	criterion	NOUN
ejpam-1597	377	14	,	,	PUNCT
ejpam-1597	377	15	as	as	ADP
ejpam-1597	377	16	[	[	X
ejpam-1597	377	17	43	43	NUM
ejpam-1597	377	18	]	]	PUNCT
ejpam-1597	377	19	demonstrates	demonstrate	VERB
ejpam-1597	377	20	.	.	PUNCT
ejpam-1597	378	1	4	4	X
ejpam-1597	378	2	.	.	X
ejpam-1597	378	3	information	information	NOUN
ejpam-1597	378	4	complexity	complexity	NOUN
ejpam-1597	378	5	for	for	ADP
ejpam-1597	378	6	the	the	DET
ejpam-1597	378	7	multivariate	multivariate	NOUN
ejpam-1597	378	8	regression	regression	NOUN
ejpam-1597	378	9	models	model	NOUN
ejpam-1597	378	10	4.1	4.1	NUM
ejpam-1597	378	11	.	.	PUNCT
ejpam-1597	379	1	icom	icom	PROPN
ejpam-1597	379	2	p	p	NOUN
ejpam-1597	379	3	and	and	CCONJ
ejpam-1597	379	4	information	information	NOUN
ejpam-1597	379	5	criteria	criterion	NOUN
ejpam-1597	379	6	for	for	ADP
ejpam-1597	379	7	correctly	correctly	ADV
ejpam-1597	379	8	specified	specify	VERB
ejpam-1597	379	9	mvr	mvr	PROPN
ejpam-1597	379	10	models	model	NOUN
ejpam-1597	379	11	for	for	ADP
ejpam-1597	379	12	multivariate	multivariate	NOUN
ejpam-1597	379	13	regression	regression	NOUN
ejpam-1597	379	14	,	,	PUNCT
ejpam-1597	379	15	the	the	DET
ejpam-1597	379	16	number	number	NOUN
ejpam-1597	379	17	of	of	ADP
ejpam-1597	379	18	estimated	estimate	VERB
ejpam-1597	379	19	parameters	parameter	NOUN
ejpam-1597	379	20	is	be	AUX
ejpam-1597	379	21	m	m	NOUN
ejpam-1597	379	22	=	=	PUNCT
ejpam-1597	379	23	pq+	pq+	PROPN
ejpam-1597	379	24	p(p+	p(p+	PROPN
ejpam-1597	379	25	1)/2	1)/2	NUM
ejpam-1597	379	26	;	;	PUNCT
ejpam-1597	379	27	we	we	PRON
ejpam-1597	379	28	have	have	VERB
ejpam-1597	379	29	a	a	DET
ejpam-1597	379	30	coefficient	coefficient	NOUN
ejpam-1597	379	31	for	for	ADP
ejpam-1597	379	32	each	each	PRON
ejpam-1597	379	33	of	of	ADP
ejpam-1597	379	34	the	the	DET
ejpam-1597	379	35	q	q	X
ejpam-1597	379	36	covariates	covariate	NOUN
ejpam-1597	379	37	for	for	ADP
ejpam-1597	379	38	each	each	PRON
ejpam-1597	379	39	of	of	ADP
ejpam-1597	379	40	the	the	DET
ejpam-1597	379	41	p	p	NOUN
ejpam-1597	379	42	responses	response	NOUN
ejpam-1597	379	43	,	,	PUNCT
ejpam-1597	379	44	and	and	CCONJ
ejpam-1597	379	45	allow	allow	VERB
ejpam-1597	379	46	for	for	ADP
ejpam-1597	379	47	a	a	DET
ejpam-1597	379	48	fully	fully	ADV
ejpam-1597	379	49	general	general	ADJ
ejpam-1597	379	50	covariance	covariance	NOUN
ejpam-1597	379	51	matrix	matrix	NOUN
ejpam-1597	379	52	,	,	PUNCT
ejpam-1597	379	53	which	which	PRON
ejpam-1597	379	54	has	have	VERB
ejpam-1597	379	55	p(p	p(p	ADJ
ejpam-1597	379	56	+	+	NOUN
ejpam-1597	379	57	1)/2	1)/2	NUM
ejpam-1597	379	58	unique	unique	ADJ
ejpam-1597	379	59	elements	element	NOUN
ejpam-1597	379	60	.	.	PUNCT
ejpam-1597	380	1	thus	thus	ADV
ejpam-1597	380	2	,	,	PUNCT
ejpam-1597	380	3	the	the	DET
ejpam-1597	380	4	aic	aic	PROPN
ejpam-1597	380	5	-	-	PUNCT
ejpam-1597	380	6	type	type	NOUN
ejpam-1597	380	7	criteria	criterion	NOUN
ejpam-1597	380	8	are	be	AUX
ejpam-1597	380	9	given	give	VERB
ejpam-1597	380	10	as	as	ADP
ejpam-1597	380	11	aic	aic	PROPN
ejpam-1597	380	12	=	=	PROPN
ejpam-1597	380	13	np	np	INTJ
ejpam-1597	380	14	log(2π)+	log(2π)+	PROPN
ejpam-1597	380	15	n	n	AUX
ejpam-1597	380	16	log	log	VERB
ejpam-1597	380	17	|σ̂|+	|σ̂|+	PROPN
ejpam-1597	380	18	np+	np+	PROPN
ejpam-1597	380	19	2(pq+	2(pq+	NUM
ejpam-1597	380	20	p(p+	p(p+	NOUN
ejpam-1597	380	21	1	1	NUM
ejpam-1597	380	22	)	)	PUNCT
ejpam-1597	380	23	2	2	NUM
ejpam-1597	380	24	)	)	PUNCT
ejpam-1597	380	25	,	,	PUNCT
ejpam-1597	380	26	and	and	CCONJ
ejpam-1597	380	27	(	(	PUNCT
ejpam-1597	380	28	60	60	NUM
ejpam-1597	380	29	)	)	PUNCT
ejpam-1597	380	30	sbc	sbc	NOUN
ejpam-1597	380	31	=	=	PUNCT
ejpam-1597	380	32	np	np	INTJ
ejpam-1597	380	33	log(2π)+	log(2π)+	PROPN
ejpam-1597	380	34	n	n	ADV
ejpam-1597	380	35	log	log	VERB
ejpam-1597	380	36	|σ̂|+	|σ̂|+	PROPN
ejpam-1597	380	37	np+	np+	NOUN
ejpam-1597	380	38	log(n)(pq+	log(n)(pq+	X
ejpam-1597	380	39	p(p+	p(p+	PROPN
ejpam-1597	380	40	1	1	NUM
ejpam-1597	380	41	)	)	PUNCT
ejpam-1597	380	42	2	2	NUM
ejpam-1597	380	43	)	)	PUNCT
ejpam-1597	380	44	.	.	PUNCT
ejpam-1597	381	1	(	(	PUNCT
ejpam-1597	381	2	61	61	NUM
ejpam-1597	381	3	)	)	PUNCT
ejpam-1597	381	4	the	the	DET
ejpam-1597	381	5	typical	typical	ADJ
ejpam-1597	381	6	icom	icom	PROPN
ejpam-1597	381	7	p(f̂−1	p(f̂−1	PROPN
ejpam-1597	381	8	)	)	PUNCT
ejpam-1597	381	9	is	be	AUX
ejpam-1597	381	10	icom	icom	PROPN
ejpam-1597	381	11	p(f̂−1	p(f̂−1	PROPN
ejpam-1597	381	12	)	)	PUNCT
ejpam-1597	382	1	=	=	NOUN
ejpam-1597	382	2	np	np	INTJ
ejpam-1597	382	3	log(2π)+	log(2π)+	NOUN
ejpam-1597	382	4	n	n	ADV
ejpam-1597	382	5	log	log	VERB
ejpam-1597	382	6	|σ̂|+	|σ̂|+	PROPN
ejpam-1597	382	7	np+	np+	PROPN
ejpam-1597	382	8	2c1(f̂−1	2c1(f̂−1	NUM
ejpam-1597	382	9	)	)	PUNCT
ejpam-1597	382	10	.	.	PUNCT
ejpam-1597	383	1	(	(	PUNCT
ejpam-1597	383	2	62	62	NUM
ejpam-1597	383	3	)	)	PUNCT
ejpam-1597	383	4	rather	rather	ADV
ejpam-1597	383	5	than	than	ADP
ejpam-1597	383	6	compute	compute	VERB
ejpam-1597	383	7	and	and	CCONJ
ejpam-1597	383	8	store	store	VERB
ejpam-1597	383	9	the	the	DET
ejpam-1597	383	10	entire	entire	ADJ
ejpam-1597	383	11	ifim	ifim	NOUN
ejpam-1597	383	12	,	,	PUNCT
ejpam-1597	383	13	we	we	PRON
ejpam-1597	383	14	can	can	AUX
ejpam-1597	383	15	compute	compute	VERB
ejpam-1597	383	16	c1(f̂−1	c1(f̂−1	PROPN
ejpam-1597	383	17	)	)	PUNCT
ejpam-1597	383	18	after	after	ADP
ejpam-1597	383	19	“	"	PUNCT
ejpam-1597	383	20	opening	open	VERB
ejpam-1597	383	21	it	it	PRON
ejpam-1597	383	22	up	up	ADP
ejpam-1597	383	23	”	"	PUNCT
ejpam-1597	383	24	as	as	SCONJ
ejpam-1597	383	25	shown	show	VERB
ejpam-1597	383	26	in	in	ADP
ejpam-1597	383	27	(	(	PUNCT
ejpam-1597	383	28	63	63	NUM
ejpam-1597	383	29	):	):	PUNCT
ejpam-1597	383	30	icom	icom	PROPN
ejpam-1597	383	31	p(f̂−1	p(f̂−1	PROPN
ejpam-1597	383	32	)	)	PUNCT
ejpam-1597	383	33	=	=	SYM
ejpam-1597	384	1	−2	−2	NOUN
ejpam-1597	384	2	log	log	NOUN
ejpam-1597	384	3	l(θ̂	l(θ̂	PROPN
ejpam-1597	384	4	|	|	ADV
ejpam-1597	384	5	y	y	PROPN
ejpam-1597	384	6	,	,	PUNCT
ejpam-1597	384	7	x	x	PUNCT
ejpam-1597	384	8	)	)	PUNCT
ejpam-1597	384	9	+	+	SYM
ejpam-1597	384	10	2c1(f̂−1	2c1(f̂−1	NUM
ejpam-1597	384	11	)	)	PUNCT
ejpam-1597	385	1	=	=	NOUN
ejpam-1597	385	2	np	np	INTJ
ejpam-1597	385	3	log(2π)+	log(2π)+	NOUN
ejpam-1597	385	4	n	n	X
ejpam-1597	385	5	log	log	VERB
ejpam-1597	385	6	|σ|+	|σ|+	PROPN
ejpam-1597	385	7	np	np	PROPN
ejpam-1597	385	8	h.	h.	PROPN
ejpam-1597	385	9	bozdogan	bozdogan	PROPN
ejpam-1597	385	10	,	,	PUNCT
ejpam-1597	385	11	j.	j.	PROPN
ejpam-1597	385	12	howe	howe	PROPN
ejpam-1597	385	13	/	/	SYM
ejpam-1597	385	14	eur	eur	PROPN
ejpam-1597	385	15	.	.	PUNCT
ejpam-1597	386	1	j.	j.	PROPN
ejpam-1597	386	2	pure	pure	PROPN
ejpam-1597	386	3	appl	appl	PROPN
ejpam-1597	386	4	.	.	PROPN
ejpam-1597	386	5	math	math	PROPN
ejpam-1597	386	6	,	,	PUNCT
ejpam-1597	386	7	5	5	NUM
ejpam-1597	386	8	(	(	PUNCT
ejpam-1597	386	9	2012	2012	NUM
ejpam-1597	386	10	)	)	PUNCT
ejpam-1597	386	11	,	,	PUNCT
ejpam-1597	386	12	211	211	NUM
ejpam-1597	386	13	-	-	SYM
ejpam-1597	386	14	249	249	NUM
ejpam-1597	386	15	227	227	NUM
ejpam-1597	386	16	+	+	NUM
ejpam-1597	386	17	s	s	NOUN
ejpam-1597	386	18	log	log	NOUN
ejpam-1597	386	19	(	(	PUNCT
ejpam-1597	386	20	1	1	NUM
ejpam-1597	386	21	s	s	NOUN
ejpam-1597	386	22			NOUN
ejpam-1597	386	23	tr(σ̂	tr(σ̂	NOUN
ejpam-1597	386	24	)	)	PUNCT
ejpam-1597	386	25	tr[(x	tr[(x	NOUN
ejpam-1597	386	26	′x	′x	NOUN
ejpam-1597	386	27	)	)	PUNCT
ejpam-1597	386	28	−1	−1	NOUN
ejpam-1597	386	29	]	]	PUNCT
ejpam-1597	387	1	+	+	CCONJ
ejpam-1597	387	2	1	1	NUM
ejpam-1597	387	3	2n	2n	NUM
ejpam-1597	387	4	(	(	PUNCT
ejpam-1597	387	5	tr(σ̂2	tr(σ̂2	PROPN
ejpam-1597	387	6	)	)	PUNCT
ejpam-1597	387	7	+	+	NUM
ejpam-1597	387	8	tr(σ̂)2	tr(σ̂)2	NUM
ejpam-1597	387	9	+	+	SYM
ejpam-1597	387	10	2	2	NUM
ejpam-1597	387	11	p∑	p∑	NOUN
ejpam-1597	387	12	j=1	j=1	NOUN
ejpam-1597	387	13	(	(	PUNCT
ejpam-1597	387	14	σ2	σ2	PROPN
ejpam-1597	387	15	j	j	PROPN
ejpam-1597	387	16	j	j	PROPN
ejpam-1597	387	17	)	)	PUNCT
ejpam-1597	387	18	2	2	NUM
ejpam-1597	387	19	)	)	PUNCT
ejpam-1597	387	20			PROPN
ejpam-1597	387	21			NUM
ejpam-1597	387	22	)	)	PUNCT
ejpam-1597	387	23	−	−	PROPN
ejpam-1597	388	1	(	(	PUNCT
ejpam-1597	388	2	p+	p+	NOUN
ejpam-1597	388	3	q	q	X
ejpam-1597	388	4	)	)	PUNCT
ejpam-1597	388	5	log	log	VERB
ejpam-1597	388	6	|σ̂|+	|σ̂|+	PROPN
ejpam-1597	388	7	p	p	NOUN
ejpam-1597	388	8	log	log	NOUN
ejpam-1597	388	9	|x	|x	NOUN
ejpam-1597	388	10	′x	′x	PROPN
ejpam-1597	388	11	|+	|+	ADV
ejpam-1597	388	12	p(p+	p(p+	PROPN
ejpam-1597	388	13	1	1	NUM
ejpam-1597	388	14	)	)	PUNCT
ejpam-1597	388	15	2	2	NUM
ejpam-1597	388	16	log(n)−	log(n)−	PROPN
ejpam-1597	388	17	p	p	NOUN
ejpam-1597	388	18	log(2	log(2	NOUN
ejpam-1597	388	19	)	)	PUNCT
ejpam-1597	388	20	,	,	PUNCT
ejpam-1597	388	21	(	(	PUNCT
ejpam-1597	388	22	63	63	NUM
ejpam-1597	388	23	)	)	PUNCT
ejpam-1597	388	24	where	where	SCONJ
ejpam-1597	388	25	(	(	PUNCT
ejpam-1597	388	26	σ2	σ2	PROPN
ejpam-1597	388	27	j	j	PROPN
ejpam-1597	388	28	j	j	PROPN
ejpam-1597	388	29	)	)	PUNCT
ejpam-1597	388	30	2	2	NUM
ejpam-1597	388	31	indicates	indicate	VERB
ejpam-1597	388	32	the	the	DET
ejpam-1597	388	33	square	square	NOUN
ejpam-1597	388	34	of	of	ADP
ejpam-1597	388	35	the	the	DET
ejpam-1597	388	36	jth	jth	PROPN
ejpam-1597	388	37	diagonal	diagonal	ADJ
ejpam-1597	388	38	element	element	NOUN
ejpam-1597	388	39	of	of	ADP
ejpam-1597	388	40	σ̂.	σ̂.	NUM
ejpam-1597	388	41	to	to	PART
ejpam-1597	388	42	compute	compute	VERB
ejpam-1597	388	43	icom	icom	PROPN
ejpam-1597	388	44	p(f̂−1)peu	p(f̂−1)peu	PROPN
ejpam-1597	388	45	,	,	PUNCT
ejpam-1597	388	46	one	one	PRON
ejpam-1597	388	47	would	would	AUX
ejpam-1597	388	48	simply	simply	ADV
ejpam-1597	388	49	add	add	VERB
ejpam-1597	388	50	m	m	PRON
ejpam-1597	388	51	to	to	ADP
ejpam-1597	388	52	(	(	PUNCT
ejpam-1597	388	53	63	63	NUM
ejpam-1597	388	54	)	)	PUNCT
ejpam-1597	388	55	.	.	PUNCT
ejpam-1597	389	1	for	for	ADP
ejpam-1597	389	2	icom	icom	PROPN
ejpam-1597	389	3	p(f̂−1)peu_ln	p(f̂−1)peu_ln	PUNCT
ejpam-1597	389	4	,	,	PUNCT
ejpam-1597	389	5	multiply	multiply	VERB
ejpam-1597	389	6	the	the	DET
ejpam-1597	389	7	icom	icom	PROPN
ejpam-1597	389	8	p(f̂−1	p(f̂−1	PROPN
ejpam-1597	389	9	)	)	PUNCT
ejpam-1597	389	10	penalty	penalty	NOUN
ejpam-1597	389	11	by	by	ADP
ejpam-1597	389	12	log(n)/2	log(n)/2	PROPN
ejpam-1597	389	13	,	,	PUNCT
ejpam-1597	389	14	then	then	ADV
ejpam-1597	389	15	add	add	VERB
ejpam-1597	389	16	m.	m.	NOUN
ejpam-1597	389	17	4.2	4.2	NUM
ejpam-1597	389	18	.	.	PUNCT
ejpam-1597	390	1	icom	icom	PROPN
ejpam-1597	390	2	p	p	PROPN
ejpam-1597	390	3	for	for	ADP
ejpam-1597	390	4	misspecified	misspecifie	VERB
ejpam-1597	390	5	mvr	mvr	PROPN
ejpam-1597	390	6	models	model	NOUN
ejpam-1597	390	7	model	model	NOUN
ejpam-1597	390	8	misspecification	misspecification	NOUN
ejpam-1597	390	9	is	be	AUX
ejpam-1597	390	10	an	an	DET
ejpam-1597	390	11	important	important	ADJ
ejpam-1597	390	12	issue	issue	NOUN
ejpam-1597	390	13	with	with	ADP
ejpam-1597	390	14	regression	regression	NOUN
ejpam-1597	390	15	models	model	NOUN
ejpam-1597	390	16	.	.	PUNCT
ejpam-1597	391	1	to	to	PART
ejpam-1597	391	2	protect	protect	VERB
ejpam-1597	391	3	the	the	DET
ejpam-1597	391	4	researcher	researcher	NOUN
ejpam-1597	391	5	against	against	ADP
ejpam-1597	391	6	model	model	NOUN
ejpam-1597	391	7	misspecification	misspecification	NOUN
ejpam-1597	391	8	,	,	PUNCT
ejpam-1597	391	9	we	we	PRON
ejpam-1597	391	10	need	need	VERB
ejpam-1597	391	11	ôcov(θ̂	ôcov(θ̂	NUM
ejpam-1597	391	12	)	)	PUNCT
ejpam-1597	392	1	=	=	PUNCT
ejpam-1597	392	2	f̂−1r̂f̂−1	f̂−1r̂f̂−1	NOUN
ejpam-1597	392	3	.	.	PUNCT
ejpam-1597	393	1	f̂−1	f̂−1	PROPN
ejpam-1597	393	2	is	be	AUX
ejpam-1597	393	3	repeated	repeat	VERB
ejpam-1597	393	4	in	in	ADP
ejpam-1597	393	5	(	(	PUNCT
ejpam-1597	393	6	64	64	NUM
ejpam-1597	393	7	)	)	PUNCT
ejpam-1597	393	8	f̂−1	f̂−1	PROPN
ejpam-1597	393	9	=	=	SYM
ejpam-1597	393	10	�	�	PROPN
ejpam-1597	393	11	σ̂⊗	σ̂⊗	PROPN
ejpam-1597	393	12	(	(	PUNCT
ejpam-1597	393	13	x	x	NOUN
ejpam-1597	393	14	′x	′x	ADV
ejpam-1597	393	15	)	)	PUNCT
ejpam-1597	393	16	−1	−1	NOUN
ejpam-1597	393	17	0	0	NUM
ejpam-1597	393	18	0′	0′	NUM
ejpam-1597	393	19	2	2	NUM
ejpam-1597	393	20	n	n	PROPN
ejpam-1597	393	21	d+p	d+p	PROPN
ejpam-1597	393	22	(	(	PUNCT
ejpam-1597	393	23	σ̂⊗	σ̂⊗	PROPN
ejpam-1597	393	24	σ̂)d+p	σ̂)d+p	PROPN
ejpam-1597	393	25	′	′	NUM
ejpam-1597	393	26	�	�	PROPN
ejpam-1597	393	27	,	,	PUNCT
ejpam-1597	393	28	(	(	PUNCT
ejpam-1597	393	29	64	64	NUM
ejpam-1597	393	30	)	)	PUNCT
ejpam-1597	393	31	r̂	r̂	NOUN
ejpam-1597	393	32	is	be	AUX
ejpam-1597	393	33	derived	derive	VERB
ejpam-1597	393	34	in	in	ADP
ejpam-1597	393	35	the	the	DET
ejpam-1597	393	36	appendix	appendix	NOUN
ejpam-1597	393	37	,	,	PUNCT
ejpam-1597	393	38	and	and	CCONJ
ejpam-1597	393	39	we	we	PRON
ejpam-1597	393	40	show	show	VERB
ejpam-1597	393	41	the	the	DET
ejpam-1597	393	42	results	result	NOUN
ejpam-1597	393	43	here	here	ADV
ejpam-1597	393	44	.	.	PUNCT
ejpam-1597	394	1	r̂	r̂	NOUN
ejpam-1597	394	2	=	=	SYM
ejpam-1597	394	3			PROPN
ejpam-1597	394	4			NUM
ejpam-1597	394	5	σ̂−1	σ̂−1	NOUN
ejpam-1597	394	6	⊗	⊗	ADJ
ejpam-1597	394	7	x	x	SYM
ejpam-1597	394	8	′x	′x	ADV
ejpam-1597	394	9	1	1	NUM
ejpam-1597	394	10	2	2	NUM
ejpam-1597	394	11	(	(	PUNCT
ejpam-1597	394	12	σ̂−1/2	σ̂−1/2	NOUN
ejpam-1597	394	13	⊗	⊗	PROPN
ejpam-1597	394	14	x	x	NOUN
ejpam-1597	394	15	′)γ̂1d+p	′)γ̂1d+p	PROPN
ejpam-1597	394	16	′	′	NUM
ejpam-1597	394	17	∆	∆	PROPN
ejpam-1597	395	1	1/2∆d+p	1/2∆d+p	INTJ
ejpam-1597	395	2	γ̂	γ̂	ADP
ejpam-1597	395	3	′	′	NUM
ejpam-1597	395	4	1(σ̂	1(σ̂	NUM
ejpam-1597	395	5	−	−	NUM
ejpam-1597	395	6	1	1	NUM
ejpam-1597	395	7	2	2	NUM
ejpam-1597	395	8	⊗	⊗	NOUN
ejpam-1597	395	9	x	x	PUNCT
ejpam-1597	395	10	)	)	PUNCT
ejpam-1597	395	11	1	1	NUM
ejpam-1597	395	12	4	4	NUM
ejpam-1597	395	13	∆d+p	∆d+p	PROPN
ejpam-1597	395	14	γ̂	γ̂	ADP
ejpam-1597	395	15	∗	∗	NOUN
ejpam-1597	395	16	2d+p	2d+p	NUM
ejpam-1597	395	17	′	′	NUM
ejpam-1597	395	18	∆	∆	PROPN
ejpam-1597	395	19			PROPN
ejpam-1597	395	20			PROPN
ejpam-1597	395	21	(	(	PUNCT
ejpam-1597	395	22	65	65	NUM
ejpam-1597	395	23	)	)	PUNCT
ejpam-1597	395	24	this	this	DET
ejpam-1597	395	25	matrix	matrix	NOUN
ejpam-1597	395	26	takes	take	VERB
ejpam-1597	395	27	into	into	ADP
ejpam-1597	395	28	consideration	consideration	NOUN
ejpam-1597	395	29	the	the	DET
ejpam-1597	395	30	actual	actual	ADJ
ejpam-1597	395	31	sample	sample	NOUN
ejpam-1597	395	32	skewness	skewness	NOUN
ejpam-1597	395	33	γ̂1	γ̂1	NOUN
ejpam-1597	396	1	=	=	PUNCT
ejpam-1597	396	2	vec	vec	PROPN
ejpam-1597	396	3	z	z	PROPN
ejpam-1597	396	4	�	�	PROPN
ejpam-1597	396	5	vec	vec	PROPN
ejpam-1597	396	6	(	(	PUNCT
ejpam-1597	396	7	z	z	PROPN
ejpam-1597	396	8	′z	′z	PROPN
ejpam-1597	396	9	−	−	PROPN
ejpam-1597	396	10	nip	nip	NOUN
ejpam-1597	396	11	)	)	PUNCT
ejpam-1597	396	12	�	�	PROPN
ejpam-1597	396	13	′	′	NUM
ejpam-1597	396	14	,	,	PUNCT
ejpam-1597	396	15	(	(	PUNCT
ejpam-1597	396	16	66	66	NUM
ejpam-1597	396	17	)	)	PUNCT
ejpam-1597	396	18	and	and	CCONJ
ejpam-1597	396	19	kurtosis	kurtosis	VERB
ejpam-1597	396	20	γ̂∗2	γ̂∗2	PUNCT
ejpam-1597	396	21	=	=	SYM
ejpam-1597	396	22	(	(	PUNCT
ejpam-1597	396	23	vec	vec	PROPN
ejpam-1597	396	24	z	z	PROPN
ejpam-1597	396	25	′z)(vec	′z)(vec	X
ejpam-1597	396	26	z	z	PROPN
ejpam-1597	396	27	′z)′+	′z)′+	VERB
ejpam-1597	396	28	n2(vec	n2(vec	PROPN
ejpam-1597	396	29	ip)(vec	ip)(vec	NUM
ejpam-1597	396	30	ip	ip	NOUN
ejpam-1597	396	31	)	)	PUNCT
ejpam-1597	396	32	′.	′.	NOUN
ejpam-1597	396	33	(	(	PUNCT
ejpam-1597	396	34	67	67	NUM
ejpam-1597	396	35	)	)	PUNCT
ejpam-1597	396	36	we	we	PRON
ejpam-1597	396	37	define	define	VERB
ejpam-1597	396	38	∆=	∆=	ADJ
ejpam-1597	396	39	d′p(σ̂	d′p(σ̂	NOUN
ejpam-1597	396	40	−1/2	−1/2	VERB
ejpam-1597	396	41	⊗	⊗	PROPN
ejpam-1597	396	42	σ̂−1/2)dp	σ̂−1/2)dp	PROPN
ejpam-1597	396	43	,	,	PUNCT
ejpam-1597	396	44	and	and	CCONJ
ejpam-1597	396	45	we	we	PRON
ejpam-1597	396	46	standardize	standardize	VERB
ejpam-1597	396	47	the	the	DET
ejpam-1597	396	48	response	response	NOUN
ejpam-1597	396	49	matrix	matrix	NOUN
ejpam-1597	396	50	with	with	ADP
ejpam-1597	396	51	z	z	NOUN
ejpam-1597	396	52	=	=	SYM
ejpam-1597	396	53	(	(	PUNCT
ejpam-1597	396	54	y	y	PROPN
ejpam-1597	396	55	−	−	PROPN
ejpam-1597	396	56	x	x	PUNCT
ejpam-1597	396	57	β̂)σ̂−1/2	β̂)σ̂−1/2	PROPN
ejpam-1597	396	58	.	.	PUNCT
ejpam-1597	397	1	the	the	DET
ejpam-1597	397	2	vec	vec	PROPN
ejpam-1597	397	3	(	(	PUNCT
ejpam-1597	397	4	·	·	PUNCT
ejpam-1597	397	5	)	)	PUNCT
ejpam-1597	397	6	operator	operator	NOUN
ejpam-1597	397	7	stacks	stack	VERB
ejpam-1597	397	8	the	the	DET
ejpam-1597	397	9	columns	column	NOUN
ejpam-1597	397	10	of	of	ADP
ejpam-1597	397	11	a	a	DET
ejpam-1597	397	12	matrix	matrix	NOUN
ejpam-1597	397	13	on	on	ADP
ejpam-1597	397	14	top	top	NOUN
ejpam-1597	397	15	of	of	ADP
ejpam-1597	397	16	each	each	DET
ejpam-1597	397	17	other	other	ADJ
ejpam-1597	397	18	,	,	PUNCT
ejpam-1597	397	19	such	such	ADJ
ejpam-1597	397	20	that	that	SCONJ
ejpam-1597	397	21	z	z	PROPN
ejpam-1597	397	22	∈	∈	PROPN
ejpam-1597	397	23	rn×p	rn×p	PROPN
ejpam-1597	397	24	−→	−→	NOUN
ejpam-1597	397	25	vec	vec	PROPN
ejpam-1597	397	26	z	z	PROPN
ejpam-1597	397	27	∈	∈	PROPN
ejpam-1597	397	28	rnp×1	rnp×1	PROPN
ejpam-1597	397	29	,	,	PUNCT
ejpam-1597	397	30	and	and	CCONJ
ejpam-1597	397	31	σ̂−1/2	σ̂−1/2	PROPN
ejpam-1597	397	32	indicates	indicate	VERB
ejpam-1597	397	33	the	the	DET
ejpam-1597	397	34	inverse	inverse	NOUN
ejpam-1597	397	35	of	of	ADP
ejpam-1597	397	36	the	the	DET
ejpam-1597	397	37	matrix	matrix	NOUN
ejpam-1597	397	38	square	square	NOUN
ejpam-1597	397	39	root	root	NOUN
ejpam-1597	397	40	defined	define	VERB
ejpam-1597	397	41	by	by	ADP
ejpam-1597	397	42	σ̂1/2σ̂1/2	σ̂1/2σ̂1/2	ADJ
ejpam-1597	397	43	=	=	SYM
ejpam-1597	397	44	σ̂.	σ̂.	VERB
ejpam-1597	397	45	in	in	ADP
ejpam-1597	397	46	cases	case	NOUN
ejpam-1597	397	47	where	where	SCONJ
ejpam-1597	397	48	the	the	DET
ejpam-1597	397	49	model	model	NOUN
ejpam-1597	397	50	is	be	AUX
ejpam-1597	397	51	correctly	correctly	ADV
ejpam-1597	397	52	specified	specify	VERB
ejpam-1597	397	53	,	,	PUNCT
ejpam-1597	397	54	we	we	PRON
ejpam-1597	397	55	have	have	VERB
ejpam-1597	397	56	e	e	NOUN
ejpam-1597	397	57	∼	∼	NOUN
ejpam-1597	397	58	nnp(0,σ⊗	nnp(0,σ⊗	ADJ
ejpam-1597	397	59	in	in	ADP
ejpam-1597	397	60	)	)	PUNCT
ejpam-1597	397	61	,	,	PUNCT
ejpam-1597	397	62	(	(	PUNCT
ejpam-1597	397	63	68	68	NUM
ejpam-1597	397	64	)	)	PUNCT
ejpam-1597	397	65	h.	h.	NOUN
ejpam-1597	397	66	bozdogan	bozdogan	PROPN
ejpam-1597	397	67	,	,	PUNCT
ejpam-1597	397	68	j.	j.	PROPN
ejpam-1597	397	69	howe	howe	PROPN
ejpam-1597	397	70	/	/	SYM
ejpam-1597	397	71	eur	eur	PROPN
ejpam-1597	397	72	.	.	PUNCT
ejpam-1597	398	1	j.	j.	PROPN
ejpam-1597	398	2	pure	pure	PROPN
ejpam-1597	398	3	appl	appl	PROPN
ejpam-1597	398	4	.	.	PROPN
ejpam-1597	398	5	math	math	PROPN
ejpam-1597	398	6	,	,	PUNCT
ejpam-1597	398	7	5	5	NUM
ejpam-1597	398	8	(	(	PUNCT
ejpam-1597	398	9	2012	2012	NUM
ejpam-1597	398	10	)	)	PUNCT
ejpam-1597	398	11	,	,	PUNCT
ejpam-1597	398	12	211	211	NUM
ejpam-1597	398	13	-	-	SYM
ejpam-1597	398	14	249	249	NUM
ejpam-1597	398	15	228	228	NUM
ejpam-1597	398	16	γ1	γ1	NOUN
ejpam-1597	398	17	reduces	reduce	VERB
ejpam-1597	398	18	to	to	ADP
ejpam-1597	398	19	0	0	NUM
ejpam-1597	398	20	,	,	PUNCT
ejpam-1597	398	21	and	and	CCONJ
ejpam-1597	398	22	γ∗2	γ∗2	NOUN
ejpam-1597	398	23	−→	−→	NOUN
ejpam-1597	398	24	2ndpd+p	2ndpd+p	NUM
ejpam-1597	398	25	,	,	PUNCT
ejpam-1597	398	26	such	such	ADJ
ejpam-1597	398	27	that	that	DET
ejpam-1597	398	28	r̂	r̂	NOUN
ejpam-1597	398	29	=	=	SYM
ejpam-1597	398	30	f̂	f̂	PROPN
ejpam-1597	398	31	,	,	PUNCT
ejpam-1597	398	32	in	in	ADP
ejpam-1597	398	33	theory	theory	NOUN
ejpam-1597	398	34	.	.	PUNCT
ejpam-1597	399	1	thus	thus	ADV
ejpam-1597	399	2	,	,	PUNCT
ejpam-1597	399	3	the	the	DET
ejpam-1597	399	4	misspecification	misspecification	NOUN
ejpam-1597	399	5	-	-	PUNCT
ejpam-1597	399	6	resistant	resistant	ADJ
ejpam-1597	399	7	estimator	estimator	NOUN
ejpam-1597	399	8	of	of	ADP
ejpam-1597	399	9	the	the	DET
ejpam-1597	399	10	model	model	NOUN
ejpam-1597	399	11	covariance	covariance	NOUN
ejpam-1597	399	12	matrix	matrix	NOUN
ejpam-1597	399	13	is	be	AUX
ejpam-1597	399	14	given	give	VERB
ejpam-1597	399	15	in	in	ADP
ejpam-1597	399	16	(	(	PUNCT
ejpam-1597	399	17	69	69	NUM
ejpam-1597	399	18	)	)	PUNCT
ejpam-1597	399	19	ôcov(θ̂	ôcov(θ̂	ADV
ejpam-1597	399	20	)	)	PUNCT
ejpam-1597	399	21	=	=	SYM
ejpam-1597	399	22	f̂−1r̂f̂−1	f̂−1r̂f̂−1	NOUN
ejpam-1597	399	23	=	=	SYM
ejpam-1597	399	24	�	�	PROPN
ejpam-1597	399	25	σ̂⊗	σ̂⊗	PROPN
ejpam-1597	399	26	(	(	PUNCT
ejpam-1597	399	27	x	x	NOUN
ejpam-1597	399	28	′x	′x	ADV
ejpam-1597	399	29	)	)	PUNCT
ejpam-1597	399	30	−1	−1	NOUN
ejpam-1597	399	31	1	1	NUM
ejpam-1597	399	32	n	n	PROPN
ejpam-1597	399	33	(	(	PUNCT
ejpam-1597	399	34	σ̂1/2	σ̂1/2	NOUN
ejpam-1597	400	1	⊗	⊗	PROPN
ejpam-1597	400	2	(	(	PUNCT
ejpam-1597	400	3	x	x	NOUN
ejpam-1597	400	4	′x	′x	ADV
ejpam-1597	400	5	)	)	PUNCT
ejpam-1597	400	6	−1x	−1x	PROPN
ejpam-1597	400	7	′)γ̂1dp∆	′)γ̂1dp∆	PUNCT
ejpam-1597	400	8	−1	−1	NOUN
ejpam-1597	400	9	1	1	NUM
ejpam-1597	400	10	n	n	NOUN
ejpam-1597	400	11	∆−1d′pγ̂	∆−1d′pγ̂	VERB
ejpam-1597	400	12	′	′	NUM
ejpam-1597	400	13	1(σ̂	1(σ̂	NUM
ejpam-1597	400	14	1/2	1/2	NUM
ejpam-1597	400	15	⊗	⊗	NOUN
ejpam-1597	400	16	x	x	SYM
ejpam-1597	400	17	(	(	PUNCT
ejpam-1597	400	18	x	x	NOUN
ejpam-1597	400	19	′x	′x	NOUN
ejpam-1597	400	20	)	)	PUNCT
ejpam-1597	400	21	−1	−1	NOUN
ejpam-1597	400	22	)	)	PUNCT
ejpam-1597	400	23	1	1	NUM
ejpam-1597	400	24	n2∆	n2∆	NOUN
ejpam-1597	400	25	−1d′pγ̂	−1d′pγ̂	PROPN
ejpam-1597	400	26	∗	∗	PROPN
ejpam-1597	400	27	2dp∆	2dp∆	NUM
ejpam-1597	400	28	−1	−1	NOUN
ejpam-1597	400	29	�	�	PROPN
ejpam-1597	400	30	.	.	PUNCT
ejpam-1597	401	1	(	(	PUNCT
ejpam-1597	401	2	69	69	NUM
ejpam-1597	401	3	)	)	PUNCT
ejpam-1597	401	4	a	a	DET
ejpam-1597	401	5	procedure	procedure	NOUN
ejpam-1597	401	6	for	for	ADP
ejpam-1597	401	7	“	"	PUNCT
ejpam-1597	401	8	opening	open	VERB
ejpam-1597	401	9	up	up	ADP
ejpam-1597	401	10	”	"	PUNCT
ejpam-1597	401	11	ôcov(θ̂	ôcov(θ̂	NUM
ejpam-1597	401	12	)	)	PUNCT
ejpam-1597	401	13	is	be	AUX
ejpam-1597	401	14	shown	show	VERB
ejpam-1597	401	15	in	in	ADP
ejpam-1597	401	16	appendix	appendix	NOUN
ejpam-1597	401	17	2	2	NUM
ejpam-1597	401	18	.	.	PUNCT
ejpam-1597	402	1	as	as	ADP
ejpam-1597	402	2	with	with	ADP
ejpam-1597	402	3	the	the	DET
ejpam-1597	402	4	regular	regular	ADJ
ejpam-1597	402	5	icom	icom	PROPN
ejpam-1597	402	6	p	p	X
ejpam-1597	402	7	,	,	PUNCT
ejpam-1597	402	8	this	this	DET
ejpam-1597	402	9	procedure	procedure	NOUN
ejpam-1597	402	10	simplifies	simplify	VERB
ejpam-1597	402	11	the	the	DET
ejpam-1597	402	12	computation	computation	NOUN
ejpam-1597	402	13	,	,	PUNCT
ejpam-1597	402	14	since	since	SCONJ
ejpam-1597	402	15	the	the	DET
ejpam-1597	402	16	entire	entire	ADJ
ejpam-1597	402	17	covariance	covariance	NOUN
ejpam-1597	402	18	matrix	matrix	NOUN
ejpam-1597	402	19	does	do	AUX
ejpam-1597	402	20	not	not	PART
ejpam-1597	402	21	have	have	VERB
ejpam-1597	402	22	to	to	PART
ejpam-1597	402	23	be	be	AUX
ejpam-1597	402	24	built	build	VERB
ejpam-1597	402	25	and	and	CCONJ
ejpam-1597	402	26	stored	store	VERB
ejpam-1597	402	27	.	.	PUNCT
ejpam-1597	403	1	there	there	PRON
ejpam-1597	403	2	is	be	VERB
ejpam-1597	403	3	an	an	DET
ejpam-1597	403	4	issue	issue	NOUN
ejpam-1597	403	5	of	of	ADP
ejpam-1597	403	6	matrix	matrix	NOUN
ejpam-1597	403	7	stability	stability	NOUN
ejpam-1597	403	8	to	to	PART
ejpam-1597	403	9	be	be	AUX
ejpam-1597	403	10	addressed	address	VERB
ejpam-1597	403	11	with	with	ADP
ejpam-1597	403	12	the	the	DET
ejpam-1597	403	13	sandwich	sandwich	NOUN
ejpam-1597	403	14	covariance	covariance	NOUN
ejpam-1597	403	15	matrix	matrix	NOUN
ejpam-1597	403	16	,	,	PUNCT
ejpam-1597	403	17	however	however	ADV
ejpam-1597	403	18	.	.	PUNCT
ejpam-1597	404	1	in	in	ADP
ejpam-1597	404	2	both	both	CCONJ
ejpam-1597	404	3	simulated	simulated	ADJ
ejpam-1597	404	4	and	and	CCONJ
ejpam-1597	404	5	real	real	ADJ
ejpam-1597	404	6	datasets	dataset	NOUN
ejpam-1597	404	7	,	,	PUNCT
ejpam-1597	404	8	we	we	PRON
ejpam-1597	404	9	have	have	AUX
ejpam-1597	404	10	observed	observe	VERB
ejpam-1597	404	11	that	that	SCONJ
ejpam-1597	404	12	the	the	DET
ejpam-1597	404	13	matrix	matrix	NOUN
ejpam-1597	404	14	is	be	AUX
ejpam-1597	404	15	consistently	consistently	ADV
ejpam-1597	404	16	rank	rank	NOUN
ejpam-1597	404	17	-	-	PUNCT
ejpam-1597	404	18	deficient	deficient	ADJ
ejpam-1597	404	19	.	.	PUNCT
ejpam-1597	405	1	we	we	PRON
ejpam-1597	405	2	performed	perform	VERB
ejpam-1597	405	3	simulation	simulation	NOUN
ejpam-1597	405	4	studies	study	NOUN
ejpam-1597	405	5	similar	similar	ADJ
ejpam-1597	405	6	to	to	ADP
ejpam-1597	405	7	those	those	PRON
ejpam-1597	405	8	detailed	detail	VERB
ejpam-1597	405	9	in	in	ADP
ejpam-1597	405	10	section	section	NOUN
ejpam-1597	405	11	7.2	7.2	NUM
ejpam-1597	405	12	,	,	PUNCT
ejpam-1597	405	13	in	in	ADP
ejpam-1597	405	14	which	which	PRON
ejpam-1597	405	15	the	the	DET
ejpam-1597	405	16	model	model	NOUN
ejpam-1597	405	17	was	be	AUX
ejpam-1597	405	18	correctly	correctly	ADV
ejpam-1597	405	19	specified	specify	VERB
ejpam-1597	405	20	,	,	PUNCT
ejpam-1597	405	21	and	and	CCONJ
ejpam-1597	405	22	observed	observe	VERB
ejpam-1597	405	23	that	that	SCONJ
ejpam-1597	405	24	icom	icom	PROPN
ejpam-1597	405	25	pm	pm	VERB
ejpam-1597	405	26	isp(ôcov(θ̂	isp(ôcov(θ̂	ADJ
ejpam-1597	405	27	)	)	PUNCT
ejpam-1597	405	28	)	)	PUNCT
ejpam-1597	405	29	and	and	CCONJ
ejpam-1597	405	30	icom	icom	PROPN
ejpam-1597	405	31	p(f̂−1	p(f̂−1	PROPN
ejpam-1597	405	32	)	)	PUNCT
ejpam-1597	405	33	did	do	AUX
ejpam-1597	405	34	not	not	PART
ejpam-1597	405	35	,	,	PUNCT
ejpam-1597	405	36	in	in	ADP
ejpam-1597	405	37	fact	fact	NOUN
ejpam-1597	405	38	,	,	PUNCT
ejpam-1597	405	39	select	select	VERB
ejpam-1597	405	40	similar	similar	ADJ
ejpam-1597	405	41	models	model	NOUN
ejpam-1597	405	42	.	.	PUNCT
ejpam-1597	406	1	it	it	PRON
ejpam-1597	406	2	appears	appear	VERB
ejpam-1597	406	3	that	that	SCONJ
ejpam-1597	406	4	numerical	numerical	ADJ
ejpam-1597	406	5	issues	issue	NOUN
ejpam-1597	406	6	with	with	ADP
ejpam-1597	406	7	the	the	DET
ejpam-1597	406	8	sandwich	sandwich	NOUN
ejpam-1597	406	9	covariance	covariance	NOUN
ejpam-1597	406	10	matrix	matrix	NOUN
ejpam-1597	406	11	prevent	prevent	VERB
ejpam-1597	406	12	it	it	PRON
ejpam-1597	406	13	from	from	ADP
ejpam-1597	406	14	approximating	approximate	VERB
ejpam-1597	406	15	the	the	DET
ejpam-1597	406	16	ifim	ifim	NOUN
ejpam-1597	406	17	when	when	SCONJ
ejpam-1597	406	18	the	the	DET
ejpam-1597	406	19	model	model	NOUN
ejpam-1597	406	20	is	be	AUX
ejpam-1597	406	21	correctly	correctly	ADV
ejpam-1597	406	22	specified	specify	VERB
ejpam-1597	406	23	.	.	PUNCT
ejpam-1597	407	1	as	as	ADP
ejpam-1597	407	2	an	an	DET
ejpam-1597	407	3	example	example	NOUN
ejpam-1597	407	4	,	,	PUNCT
ejpam-1597	407	5	consider	consider	VERB
ejpam-1597	407	6	a	a	DET
ejpam-1597	407	7	dataset	dataset	NOUN
ejpam-1597	407	8	in	in	ADP
ejpam-1597	407	9	which	which	PRON
ejpam-1597	407	10	p	p	X
ejpam-1597	407	11	=	=	SYM
ejpam-1597	407	12	2	2	NUM
ejpam-1597	407	13	and	and	CCONJ
ejpam-1597	407	14	q∗	q∗	NOUN
ejpam-1597	407	15	=	=	SYM
ejpam-1597	407	16	8	8	NUM
ejpam-1597	407	17	.	.	PUNCT
ejpam-1597	408	1	the	the	DET
ejpam-1597	408	2	number	number	NOUN
ejpam-1597	408	3	of	of	ADP
ejpam-1597	408	4	parameters	parameter	NOUN
ejpam-1597	408	5	estimated	estimate	VERB
ejpam-1597	408	6	is	be	AUX
ejpam-1597	408	7	m	m	NOUN
ejpam-1597	408	8	=	=	NOUN
ejpam-1597	408	9	19	19	NUM
ejpam-1597	408	10	,	,	PUNCT
ejpam-1597	408	11	and	and	CCONJ
ejpam-1597	408	12	the	the	DET
ejpam-1597	408	13	model	model	NOUN
ejpam-1597	408	14	covariance	covariance	NOUN
ejpam-1597	408	15	matrix	matrix	NOUN
ejpam-1597	408	16	is	be	AUX
ejpam-1597	408	17	of	of	ADP
ejpam-1597	408	18	size	size	NOUN
ejpam-1597	408	19	19×	19×	NUM
ejpam-1597	408	20	19	19	NUM
ejpam-1597	408	21	.	.	PUNCT
ejpam-1597	409	1	however	however	ADV
ejpam-1597	409	2	,	,	PUNCT
ejpam-1597	409	3	the	the	DET
ejpam-1597	409	4	rank	rank	NOUN
ejpam-1597	409	5	is	be	AUX
ejpam-1597	409	6	only	only	ADV
ejpam-1597	409	7	16	16	NUM
ejpam-1597	409	8	.	.	PUNCT
ejpam-1597	410	1	of	of	ADP
ejpam-1597	410	2	course	course	NOUN
ejpam-1597	410	3	,	,	PUNCT
ejpam-1597	410	4	the	the	DET
ejpam-1597	410	5	determinant	determinant	ADJ
ejpam-1597	410	6	is	be	AUX
ejpam-1597	410	7	0	0	NUM
ejpam-1597	410	8	.	.	PUNCT
ejpam-1597	411	1	we	we	PRON
ejpam-1597	411	2	employ	employ	VERB
ejpam-1597	411	3	the	the	DET
ejpam-1597	411	4	robust	robust	ADJ
ejpam-1597	411	5	covariance	covariance	NOUN
ejpam-1597	411	6	estimators	estimator	NOUN
ejpam-1597	411	7	(	(	PUNCT
ejpam-1597	411	8	discussed	discuss	VERB
ejpam-1597	411	9	in	in	ADP
ejpam-1597	411	10	section	section	NOUN
ejpam-1597	411	11	6	6	NUM
ejpam-1597	411	12	)	)	PUNCT
ejpam-1597	411	13	to	to	PART
ejpam-1597	411	14	ensure	ensure	VERB
ejpam-1597	411	15	ôcov(θ̂	ôcov(θ̂	NOUN
ejpam-1597	411	16	)	)	PUNCT
ejpam-1597	411	17	is	be	AUX
ejpam-1597	411	18	of	of	ADP
ejpam-1597	411	19	full	full	ADJ
ejpam-1597	411	20	rank	rank	NOUN
ejpam-1597	411	21	.	.	PUNCT
ejpam-1597	412	1	4.3	4.3	NUM
ejpam-1597	412	2	.	.	PUNCT
ejpam-1597	412	3	kl	kl	PROPN
ejpam-1597	412	4	information	information	NOUN
ejpam-1597	412	5	between	between	ADP
ejpam-1597	412	6	true	true	ADJ
ejpam-1597	412	7	and	and	CCONJ
ejpam-1597	412	8	fitted	fit	VERB
ejpam-1597	412	9	model	model	NOUN
ejpam-1597	412	10	suppose	suppose	VERB
ejpam-1597	412	11	that	that	SCONJ
ejpam-1597	412	12	we	we	PRON
ejpam-1597	412	13	denote	denote	VERB
ejpam-1597	412	14	a	a	DET
ejpam-1597	412	15	true	true	ADJ
ejpam-1597	412	16	multivariate	multivariate	NOUN
ejpam-1597	412	17	regression	regression	NOUN
ejpam-1597	412	18	model	model	NOUN
ejpam-1597	412	19	by	by	ADP
ejpam-1597	412	20	mt	mt	PROPN
ejpam-1597	412	21	:	:	PUNCT
ejpam-1597	412	22	y	y	PROPN
ejpam-1597	412	23	=	=	PUNCT
ejpam-1597	412	24	x	x	PROPN
ejpam-1597	412	25	∗b∗	∗b∗	NUM
ejpam-1597	412	26	+	+	CCONJ
ejpam-1597	412	27	e∗	e∗	PROPN
ejpam-1597	412	28	,	,	PUNCT
ejpam-1597	412	29	cov(vecy	cov(vecy	NOUN
ejpam-1597	412	30	∗	∗	NOUN
ejpam-1597	412	31	)	)	PUNCT
ejpam-1597	412	32	=	=	SYM
ejpam-1597	412	33	σ∗	σ∗	PROPN
ejpam-1597	412	34	⊗	⊗	X
ejpam-1597	412	35	in	in	ADP
ejpam-1597	412	36	(	(	PUNCT
ejpam-1597	412	37	70	70	NUM
ejpam-1597	412	38	)	)	PUNCT
ejpam-1597	412	39	and	and	CCONJ
ejpam-1597	412	40	the	the	DET
ejpam-1597	412	41	fitted	fit	VERB
ejpam-1597	412	42	(	(	PUNCT
ejpam-1597	412	43	or	or	CCONJ
ejpam-1597	412	44	candidate	candidate	NOUN
ejpam-1597	412	45	)	)	PUNCT
ejpam-1597	412	46	multivariate	multivariate	NOUN
ejpam-1597	412	47	regression	regression	NOUN
ejpam-1597	412	48	model	model	NOUN
ejpam-1597	412	49	by	by	ADP
ejpam-1597	412	50	m	m	PROPN
ejpam-1597	412	51	f	f	NOUN
ejpam-1597	412	52	:	:	PUNCT
ejpam-1597	412	53	y	y	NOUN
ejpam-1597	412	54	=	=	PUNCT
ejpam-1597	412	55	x	x	X
ejpam-1597	412	56	b+	b+	X
ejpam-1597	412	57	e	e	NOUN
ejpam-1597	412	58	,	,	PUNCT
ejpam-1597	412	59	cov(vecy	cov(vecy	X
ejpam-1597	412	60	)	)	PUNCT
ejpam-1597	412	61	=	=	SYM
ejpam-1597	412	62	σ⊗	σ⊗	ADJ
ejpam-1597	412	63	in	in	ADP
ejpam-1597	412	64	.	.	PUNCT
ejpam-1597	413	1	(	(	PUNCT
ejpam-1597	413	2	71	71	NUM
ejpam-1597	413	3	)	)	PUNCT
ejpam-1597	413	4	under	under	ADP
ejpam-1597	413	5	the	the	DET
ejpam-1597	413	6	multivariate	multivariate	NOUN
ejpam-1597	413	7	normal	normal	ADJ
ejpam-1597	413	8	assumption	assumption	NOUN
ejpam-1597	413	9	,	,	PUNCT
ejpam-1597	413	10	the	the	DET
ejpam-1597	413	11	log	log	NOUN
ejpam-1597	413	12	likelihood	likelihood	NOUN
ejpam-1597	413	13	of	of	ADP
ejpam-1597	413	14	the	the	DET
ejpam-1597	413	15	true	true	ADJ
ejpam-1597	413	16	model	model	NOUN
ejpam-1597	413	17	mt	mt	PROPN
ejpam-1597	413	18	is	be	AUX
ejpam-1597	413	19	log	log	NOUN
ejpam-1597	413	20	l(mt	l(mt	NOUN
ejpam-1597	413	21	)	)	PUNCT
ejpam-1597	414	1	=	=	SYM
ejpam-1597	415	1	−	−	PROPN
ejpam-1597	415	2	np	np	INTJ
ejpam-1597	415	3	2	2	NUM
ejpam-1597	415	4	log(2π)−	log(2π)−	PART
ejpam-1597	415	5	n	n	PRON
ejpam-1597	415	6	2	2	NUM
ejpam-1597	415	7	log	log	NOUN
ejpam-1597	415	8	|σ∗|	|σ∗|	NUM
ejpam-1597	415	9	−	−	NOUN
ejpam-1597	415	10	1	1	NUM
ejpam-1597	415	11	2	2	NUM
ejpam-1597	415	12	tr[(y	tr[(y	NOUN
ejpam-1597	415	13	−	−	NOUN
ejpam-1597	415	14	x	x	PUNCT
ejpam-1597	415	15	∗b∗)σ∗−1(y	∗b∗)σ∗−1(y	VERB
ejpam-1597	416	1	−	−	NOUN
ejpam-1597	416	2	x	x	SYM
ejpam-1597	416	3	∗b∗)′	∗b∗)′	PROPN
ejpam-1597	416	4	]	]	PUNCT
ejpam-1597	416	5	.	.	PUNCT
ejpam-1597	417	1	(	(	PUNCT
ejpam-1597	417	2	72	72	NUM
ejpam-1597	417	3	)	)	PUNCT
ejpam-1597	417	4	the	the	DET
ejpam-1597	417	5	log	log	NOUN
ejpam-1597	417	6	likelihood	likelihood	NOUN
ejpam-1597	417	7	of	of	ADP
ejpam-1597	417	8	the	the	DET
ejpam-1597	417	9	fitted	fit	VERB
ejpam-1597	417	10	model	model	NOUN
ejpam-1597	417	11	m	m	PROPN
ejpam-1597	417	12	f	f	PROPN
ejpam-1597	417	13	is	be	AUX
ejpam-1597	417	14	log	log	NOUN
ejpam-1597	417	15	l(m	l(m	PROPN
ejpam-1597	417	16	f	f	PROPN
ejpam-1597	417	17	)	)	PUNCT
ejpam-1597	418	1	=	=	PUNCT
ejpam-1597	419	1	−	−	PROPN
ejpam-1597	419	2	np	np	INTJ
ejpam-1597	419	3	2	2	NUM
ejpam-1597	419	4	log(2π)−	log(2π)−	NUM
ejpam-1597	419	5	n	n	PRON
ejpam-1597	419	6	2	2	NUM
ejpam-1597	419	7	log	log	NOUN
ejpam-1597	419	8	|σ|	|σ|	PROPN
ejpam-1597	419	9	−	−	PROPN
ejpam-1597	419	10	1	1	NUM
ejpam-1597	419	11	2	2	NUM
ejpam-1597	419	12	tr[(y	tr[(y	NOUN
ejpam-1597	419	13	−	−	NOUN
ejpam-1597	419	14	x	x	X
ejpam-1597	420	1	b)σ−1(y	b)σ−1(y	NOUN
ejpam-1597	420	2	−	−	NOUN
ejpam-1597	421	1	x	x	SYM
ejpam-1597	421	2	b)′	b)′	NOUN
ejpam-1597	421	3	]	]	PUNCT
ejpam-1597	421	4	.	.	PUNCT
ejpam-1597	422	1	(	(	PUNCT
ejpam-1597	422	2	73	73	NUM
ejpam-1597	422	3	)	)	PUNCT
ejpam-1597	422	4	then	then	ADV
ejpam-1597	422	5	the	the	DET
ejpam-1597	422	6	log	log	NOUN
ejpam-1597	422	7	likelihood	likelihood	NOUN
ejpam-1597	422	8	of	of	ADP
ejpam-1597	422	9	the	the	DET
ejpam-1597	422	10	difference	difference	NOUN
ejpam-1597	422	11	between	between	ADP
ejpam-1597	422	12	the	the	DET
ejpam-1597	422	13	true	true	ADJ
ejpam-1597	422	14	model	model	NOUN
ejpam-1597	422	15	and	and	CCONJ
ejpam-1597	422	16	the	the	DET
ejpam-1597	422	17	fitted	fit	VERB
ejpam-1597	422	18	model	model	NOUN
ejpam-1597	422	19	becomes	become	VERB
ejpam-1597	422	20	∆	∆	PROPN
ejpam-1597	422	21	log	log	NOUN
ejpam-1597	422	22	l(mt	l(mt	PROPN
ejpam-1597	422	23	,	,	PUNCT
ejpam-1597	422	24	m	m	PROPN
ejpam-1597	422	25	f	f	NOUN
ejpam-1597	422	26	)	)	PUNCT
ejpam-1597	423	1	=	=	VERB
ejpam-1597	423	2	log	log	VERB
ejpam-1597	423	3	l(mt)−	l(mt)−	X
ejpam-1597	423	4	log	log	NOUN
ejpam-1597	424	1	l(m	l(m	PROPN
ejpam-1597	424	2	f	f	PROPN
ejpam-1597	424	3	)	)	PUNCT
ejpam-1597	424	4	h.	h.	PROPN
ejpam-1597	424	5	bozdogan	bozdogan	PROPN
ejpam-1597	424	6	,	,	PUNCT
ejpam-1597	424	7	j.	j.	PROPN
ejpam-1597	424	8	howe	howe	PROPN
ejpam-1597	424	9	/	/	SYM
ejpam-1597	424	10	eur	eur	PROPN
ejpam-1597	424	11	.	.	PUNCT
ejpam-1597	425	1	j.	j.	PROPN
ejpam-1597	425	2	pure	pure	PROPN
ejpam-1597	425	3	appl	appl	PROPN
ejpam-1597	425	4	.	.	PROPN
ejpam-1597	425	5	math	math	PROPN
ejpam-1597	425	6	,	,	PUNCT
ejpam-1597	425	7	5	5	NUM
ejpam-1597	425	8	(	(	PUNCT
ejpam-1597	425	9	2012	2012	NUM
ejpam-1597	425	10	)	)	PUNCT
ejpam-1597	425	11	,	,	PUNCT
ejpam-1597	425	12	211	211	NUM
ejpam-1597	425	13	-	-	SYM
ejpam-1597	425	14	249	249	NUM
ejpam-1597	425	15	229	229	NUM
ejpam-1597	425	16	=	=	NOUN
ejpam-1597	425	17	log	log	PROPN
ejpam-1597	425	18	�	�	PROPN
ejpam-1597	425	19	|σ|	|σ|	PROPN
ejpam-1597	425	20	|σ∗|	|σ∗|	SYM
ejpam-1597	425	21	�	�	PROPN
ejpam-1597	425	22	+	+	CCONJ
ejpam-1597	425	23	1	1	NUM
ejpam-1597	425	24	n	n	NUM
ejpam-1597	425	25	tr[(y	tr[(y	NOUN
ejpam-1597	425	26	−	−	NOUN
ejpam-1597	425	27	x	x	X
ejpam-1597	426	1	b)σ−1(y	b)σ−1(y	NOUN
ejpam-1597	427	1	−	−	NOUN
ejpam-1597	428	1	x	x	SYM
ejpam-1597	429	1	b)′]−	b)′]−	VERB
ejpam-1597	429	2	1	1	NUM
ejpam-1597	429	3	n	n	NUM
ejpam-1597	429	4	tr[(y	tr[(y	NOUN
ejpam-1597	429	5	−	−	NOUN
ejpam-1597	429	6	x	x	PUNCT
ejpam-1597	429	7	∗b∗)σ∗−1(y	∗b∗)σ∗−1(y	VERB
ejpam-1597	429	8	−	−	NOUN
ejpam-1597	429	9	x	x	SYM
ejpam-1597	429	10	∗b∗)′	∗b∗)′	PROPN
ejpam-1597	429	11	]	]	PUNCT
ejpam-1597	429	12	.	.	PUNCT
ejpam-1597	430	1	(	(	PUNCT
ejpam-1597	430	2	74	74	NUM
ejpam-1597	430	3	)	)	PUNCT
ejpam-1597	430	4	now	now	ADV
ejpam-1597	430	5	,	,	PUNCT
ejpam-1597	430	6	taking	take	VERB
ejpam-1597	430	7	the	the	DET
ejpam-1597	430	8	expectation	expectation	NOUN
ejpam-1597	430	9	with	with	ADP
ejpam-1597	430	10	respect	respect	NOUN
ejpam-1597	430	11	to	to	ADP
ejpam-1597	430	12	the	the	DET
ejpam-1597	430	13	true	true	ADJ
ejpam-1597	430	14	model	model	NOUN
ejpam-1597	430	15	,	,	PUNCT
ejpam-1597	430	16	we	we	PRON
ejpam-1597	430	17	obtain	obtain	VERB
ejpam-1597	430	18	the	the	DET
ejpam-1597	430	19	kullback	kullback	NOUN
ejpam-1597	430	20	-	-	PUNCT
ejpam-1597	430	21	leibler	leibler	NOUN
ejpam-1597	430	22	distance	distance	NOUN
ejpam-1597	430	23	as	as	ADP
ejpam-1597	430	24	[	[	X
ejpam-1597	430	25	5	5	NUM
ejpam-1597	430	26	]	]	PUNCT
ejpam-1597	430	27	:	:	PUNCT
ejpam-1597	430	28	k	k	X
ejpam-1597	430	29	l	l	PUNCT
ejpam-1597	430	30	=	=	PUNCT
ejpam-1597	430	31	e	e	X
ejpam-1597	430	32	�	�	PROPN
ejpam-1597	430	33	∆	∆	PROPN
ejpam-1597	430	34	log	log	VERB
ejpam-1597	430	35	l(mt	l(mt	PROPN
ejpam-1597	430	36	,	,	PUNCT
ejpam-1597	430	37	m	m	PROPN
ejpam-1597	430	38	f	f	NOUN
ejpam-1597	430	39	)	)	PUNCT
ejpam-1597	430	40	�	�	PROPN
ejpam-1597	430	41	=	=	PRON
ejpam-1597	430	42	log	log	PROPN
ejpam-1597	430	43	�	�	PROPN
ejpam-1597	430	44	|σ|	|σ|	PROPN
ejpam-1597	430	45	|σ∗|	|σ∗|	SYM
ejpam-1597	430	46	�	�	PROPN
ejpam-1597	430	47	+	+	CCONJ
ejpam-1597	430	48	tr(σ−1σ∗	tr(σ−1σ∗	NOUN
ejpam-1597	430	49	)	)	PUNCT
ejpam-1597	431	1	+	+	CCONJ
ejpam-1597	431	2	1	1	NUM
ejpam-1597	431	3	n	n	PRON
ejpam-1597	431	4	tr[(x	tr[(x	NOUN
ejpam-1597	431	5	∗b∗	∗b∗	NUM
ejpam-1597	431	6	−	−	NOUN
ejpam-1597	432	1	x	x	SYM
ejpam-1597	432	2	b)σ−1(x	b)σ−1(x	NOUN
ejpam-1597	432	3	∗b∗	∗b∗	NUM
ejpam-1597	432	4	−	−	NOUN
ejpam-1597	433	1	x	x	SYM
ejpam-1597	433	2	b)′]−	b)′]−	NOUN
ejpam-1597	434	1	p.	p.	NOUN
ejpam-1597	434	2	(	(	PUNCT
ejpam-1597	434	3	75	75	NUM
ejpam-1597	434	4	)	)	PUNCT
ejpam-1597	434	5	using	use	VERB
ejpam-1597	434	6	the	the	DET
ejpam-1597	434	7	maximum	maximum	ADJ
ejpam-1597	434	8	likelihood	likelihood	NOUN
ejpam-1597	434	9	estimators	estimator	NOUN
ejpam-1597	434	10	b̂	b̂	NOUN
ejpam-1597	434	11	=	=	SYM
ejpam-1597	434	12	(	(	PUNCT
ejpam-1597	434	13	x	x	NOUN
ejpam-1597	434	14	′x	′x	ADV
ejpam-1597	434	15	)	)	PUNCT
ejpam-1597	434	16	−1x	−1x	PROPN
ejpam-1597	434	17	′y	′y	NOUN
ejpam-1597	434	18	,	,	PUNCT
ejpam-1597	434	19	and	and	CCONJ
ejpam-1597	434	20	σ̂	σ̂	X
ejpam-1597	434	21	=	=	SYM
ejpam-1597	434	22	(	(	PUNCT
ejpam-1597	434	23	y	y	NOUN
ejpam-1597	434	24	−	−	PROPN
ejpam-1597	434	25	x	x	PUNCT
ejpam-1597	434	26	b̂)′(y	b̂)′(y	VERB
ejpam-1597	434	27	−	−	NOUN
ejpam-1597	434	28	x	x	SYM
ejpam-1597	434	29	b̂	b̂	NOUN
ejpam-1597	434	30	)	)	PUNCT
ejpam-1597	434	31	n	n	NOUN
ejpam-1597	434	32	=	=	SYM
ejpam-1597	434	33	y	y	PROPN
ejpam-1597	434	34	′my	′my	NOUN
ejpam-1597	434	35	n	n	PROPN
ejpam-1597	434	36	,	,	PUNCT
ejpam-1597	434	37	(	(	PUNCT
ejpam-1597	434	38	76	76	NUM
ejpam-1597	434	39	)	)	PUNCT
ejpam-1597	434	40	we	we	PRON
ejpam-1597	434	41	have	have	VERB
ejpam-1597	434	42	the	the	DET
ejpam-1597	434	43	estimated	estimate	VERB
ejpam-1597	434	44	kl	kl	PROPN
ejpam-1597	434	45	ók	ók	PROPN
ejpam-1597	434	46	l	l	NOUN
ejpam-1597	434	47	=	=	PUNCT
ejpam-1597	434	48	log	log	NOUN
ejpam-1597	434	49	�	�	PROPN
ejpam-1597	434	50	|σ̂|	|σ̂|	PROPN
ejpam-1597	434	51	|σ∗|	|σ∗|	SYM
ejpam-1597	434	52	�	�	PROPN
ejpam-1597	434	53	+	+	CCONJ
ejpam-1597	434	54	tr(σ̂−1σ∗	tr(σ̂−1σ∗	PROPN
ejpam-1597	434	55	)	)	PUNCT
ejpam-1597	434	56	+	+	NUM
ejpam-1597	434	57	tr[σ̂−1(x	tr[σ̂−1(x	NOUN
ejpam-1597	434	58	∗b∗	∗b∗	NUM
ejpam-1597	434	59	−	−	NOUN
ejpam-1597	435	1	x	x	SYM
ejpam-1597	435	2	b̂)(x	b̂)(x	PROPN
ejpam-1597	435	3	∗b∗	∗b∗	NUM
ejpam-1597	435	4	−	−	PROPN
ejpam-1597	436	1	x	x	SYM
ejpam-1597	436	2	b̂)′]−	b̂)′]−	PROPN
ejpam-1597	436	3	p.	p.	NOUN
ejpam-1597	436	4	(	(	PUNCT
ejpam-1597	436	5	77	77	NUM
ejpam-1597	436	6	)	)	PUNCT
ejpam-1597	436	7	this	this	PRON
ejpam-1597	436	8	gives	give	VERB
ejpam-1597	436	9	us	we	PRON
ejpam-1597	436	10	a	a	DET
ejpam-1597	436	11	yardstick	yardstick	NOUN
ejpam-1597	436	12	in	in	ADP
ejpam-1597	436	13	comparing	compare	VERB
ejpam-1597	436	14	the	the	DET
ejpam-1597	436	15	performance	performance	NOUN
ejpam-1597	436	16	of	of	ADP
ejpam-1597	436	17	model	model	NOUN
ejpam-1597	436	18	selection	selection	NOUN
ejpam-1597	436	19	criteria	criterion	NOUN
ejpam-1597	436	20	between	between	ADP
ejpam-1597	436	21	the	the	DET
ejpam-1597	436	22	true	true	ADJ
ejpam-1597	436	23	and	and	CCONJ
ejpam-1597	436	24	the	the	DET
ejpam-1597	436	25	fitted	fit	VERB
ejpam-1597	436	26	model	model	NOUN
ejpam-1597	436	27	in	in	ADP
ejpam-1597	436	28	how	how	SCONJ
ejpam-1597	436	29	close	close	ADJ
ejpam-1597	436	30	they	they	PRON
ejpam-1597	436	31	are	be	AUX
ejpam-1597	436	32	to	to	ADP
ejpam-1597	436	33	the	the	DET
ejpam-1597	436	34	kl	kl	PROPN
ejpam-1597	436	35	distance	distance	NOUN
ejpam-1597	436	36	,	,	PUNCT
ejpam-1597	436	37	especially	especially	ADV
ejpam-1597	436	38	in	in	ADP
ejpam-1597	436	39	simulation	simulation	NOUN
ejpam-1597	436	40	protocols	protocol	NOUN
ejpam-1597	436	41	,	,	PUNCT
ejpam-1597	436	42	since	since	SCONJ
ejpam-1597	436	43	the	the	DET
ejpam-1597	436	44	true	true	ADJ
ejpam-1597	436	45	model	model	NOUN
ejpam-1597	436	46	is	be	AUX
ejpam-1597	436	47	known	know	VERB
ejpam-1597	436	48	by	by	ADP
ejpam-1597	436	49	design	design	NOUN
ejpam-1597	436	50	.	.	PUNCT
ejpam-1597	437	1	by	by	ADP
ejpam-1597	437	2	means	mean	NOUN
ejpam-1597	437	3	of	of	ADP
ejpam-1597	437	4	simulation	simulation	NOUN
ejpam-1597	437	5	study	study	NOUN
ejpam-1597	437	6	,	,	PUNCT
ejpam-1597	437	7	we	we	PRON
ejpam-1597	437	8	can	can	AUX
ejpam-1597	437	9	investigate	investigate	VERB
ejpam-1597	437	10	the	the	DET
ejpam-1597	437	11	finite	finite	ADJ
ejpam-1597	437	12	sample	sample	NOUN
ejpam-1597	437	13	behavior	behavior	NOUN
ejpam-1597	437	14	of	of	ADP
ejpam-1597	437	15	icom	icom	PROPN
ejpam-1597	437	16	p	p	PROPN
ejpam-1597	437	17	criteria	criterion	NOUN
ejpam-1597	437	18	both	both	CCONJ
ejpam-1597	437	19	when	when	SCONJ
ejpam-1597	437	20	the	the	DET
ejpam-1597	437	21	model	model	NOUN
ejpam-1597	437	22	is	be	AUX
ejpam-1597	437	23	correctly	correctly	ADV
ejpam-1597	437	24	specified	specify	VERB
ejpam-1597	437	25	,	,	PUNCT
ejpam-1597	437	26	and	and	CCONJ
ejpam-1597	437	27	the	the	DET
ejpam-1597	437	28	model	model	NOUN
ejpam-1597	437	29	is	be	AUX
ejpam-1597	437	30	misspecified	misspecifie	VERB
ejpam-1597	437	31	.	.	PUNCT
ejpam-1597	438	1	5	5	X
ejpam-1597	438	2	.	.	X
ejpam-1597	438	3	genetic	genetic	ADJ
ejpam-1597	438	4	algorithm	algorithm	NOUN
ejpam-1597	438	5	(	(	PUNCT
ejpam-1597	438	6	ga	ga	PROPN
ejpam-1597	438	7	)	)	PUNCT
ejpam-1597	438	8	the	the	DET
ejpam-1597	438	9	ga	ga	PROPN
ejpam-1597	438	10	is	be	AUX
ejpam-1597	438	11	a	a	DET
ejpam-1597	438	12	search	search	NOUN
ejpam-1597	438	13	algorithm	algorithm	NOUN
ejpam-1597	438	14	that	that	PRON
ejpam-1597	438	15	borrows	borrow	VERB
ejpam-1597	438	16	concepts	concept	NOUN
ejpam-1597	438	17	from	from	ADP
ejpam-1597	438	18	biological	biological	ADJ
ejpam-1597	438	19	evolution	evolution	NOUN
ejpam-1597	438	20	.	.	PUNCT
ejpam-1597	439	1	biological	biological	ADJ
ejpam-1597	439	2	chromosomes	chromosome	NOUN
ejpam-1597	439	3	,	,	PUNCT
ejpam-1597	439	4	which	which	PRON
ejpam-1597	439	5	determine	determine	VERB
ejpam-1597	439	6	so	so	ADV
ejpam-1597	439	7	much	much	ADJ
ejpam-1597	439	8	about	about	ADP
ejpam-1597	439	9	organisms	organism	NOUN
ejpam-1597	439	10	,	,	PUNCT
ejpam-1597	439	11	are	be	AUX
ejpam-1597	439	12	represented	represent	VERB
ejpam-1597	439	13	as	as	ADP
ejpam-1597	439	14	binary	binary	ADJ
ejpam-1597	439	15	words	word	NOUN
ejpam-1597	439	16	–	–	PUNCT
ejpam-1597	439	17	these	these	PRON
ejpam-1597	439	18	determine	determine	VERB
ejpam-1597	439	19	the	the	DET
ejpam-1597	439	20	composition	composition	NOUN
ejpam-1597	439	21	of	of	ADP
ejpam-1597	439	22	possible	possible	ADJ
ejpam-1597	439	23	solutions	solution	NOUN
ejpam-1597	439	24	to	to	ADP
ejpam-1597	439	25	an	an	DET
ejpam-1597	439	26	optimization	optimization	NOUN
ejpam-1597	439	27	problem	problem	NOUN
ejpam-1597	439	28	.	.	PUNCT
ejpam-1597	440	1	unlike	unlike	ADP
ejpam-1597	440	2	most	most	ADJ
ejpam-1597	440	3	search	search	NOUN
ejpam-1597	440	4	algorithms	algorithm	NOUN
ejpam-1597	440	5	,	,	PUNCT
ejpam-1597	440	6	the	the	DET
ejpam-1597	440	7	ga	ga	PROPN
ejpam-1597	440	8	simulates	simulate	VERB
ejpam-1597	440	9	a	a	DET
ejpam-1597	440	10	large	large	ADJ
ejpam-1597	440	11	population	population	NOUN
ejpam-1597	440	12	of	of	ADP
ejpam-1597	440	13	potential	potential	ADJ
ejpam-1597	440	14	solutions	solution	NOUN
ejpam-1597	440	15	.	.	PUNCT
ejpam-1597	441	1	these	these	DET
ejpam-1597	441	2	solutions	solution	NOUN
ejpam-1597	441	3	are	be	AUX
ejpam-1597	441	4	allowed	allow	VERB
ejpam-1597	441	5	to	to	PART
ejpam-1597	441	6	interact	interact	VERB
ejpam-1597	441	7	over	over	ADP
ejpam-1597	441	8	time	time	NOUN
ejpam-1597	441	9	;	;	PUNCT
ejpam-1597	441	10	random	random	ADJ
ejpam-1597	441	11	mutations	mutation	NOUN
ejpam-1597	441	12	and	and	CCONJ
ejpam-1597	441	13	natural	natural	ADJ
ejpam-1597	441	14	selection	selection	NOUN
ejpam-1597	441	15	allow	allow	VERB
ejpam-1597	441	16	the	the	DET
ejpam-1597	441	17	population	population	NOUN
ejpam-1597	441	18	to	to	PART
ejpam-1597	441	19	improve	improve	VERB
ejpam-1597	441	20	,	,	PUNCT
ejpam-1597	441	21	eventually	eventually	ADV
ejpam-1597	441	22	iterating	iterate	VERB
ejpam-1597	441	23	to	to	ADP
ejpam-1597	441	24	an	an	DET
ejpam-1597	441	25	optimal	optimal	ADJ
ejpam-1597	441	26	solution	solution	NOUN
ejpam-1597	441	27	.	.	PUNCT
ejpam-1597	442	1	for	for	ADP
ejpam-1597	442	2	multivariate	multivariate	NOUN
ejpam-1597	442	3	regression	regression	NOUN
ejpam-1597	442	4	subsetting	subsette	VERB
ejpam-1597	442	5	,	,	PUNCT
ejpam-1597	442	6	each	each	DET
ejpam-1597	442	7	chromosome	chromosome	NOUN
ejpam-1597	442	8	is	be	AUX
ejpam-1597	442	9	a	a	DET
ejpam-1597	442	10	q	q	ADJ
ejpam-1597	442	11	-	-	PUNCT
ejpam-1597	442	12	length	length	NOUN
ejpam-1597	442	13	vector	vector	NOUN
ejpam-1597	442	14	such	such	ADJ
ejpam-1597	442	15	that	that	SCONJ
ejpam-1597	442	16	each	each	DET
ejpam-1597	442	17	locus	locus	NOUN
ejpam-1597	442	18	represents	represent	VERB
ejpam-1597	442	19	the	the	DET
ejpam-1597	442	20	presence	presence	NOUN
ejpam-1597	442	21	(	(	PUNCT
ejpam-1597	442	22	1	1	NUM
ejpam-1597	442	23	)	)	PUNCT
ejpam-1597	442	24	or	or	CCONJ
ejpam-1597	442	25	absence	absence	NOUN
ejpam-1597	442	26	(	(	PUNCT
ejpam-1597	442	27	0	0	NUM
ejpam-1597	442	28	)	)	PUNCT
ejpam-1597	442	29	of	of	ADP
ejpam-1597	442	30	a	a	DET
ejpam-1597	442	31	specific	specific	ADJ
ejpam-1597	442	32	predictor	predictor	NOUN
ejpam-1597	442	33	.	.	PUNCT
ejpam-1597	443	1	an	an	DET
ejpam-1597	443	2	example	example	NOUN
ejpam-1597	443	3	chromosome	chromosome	NOUN
ejpam-1597	443	4	may	may	AUX
ejpam-1597	443	5	be	be	AUX
ejpam-1597	443	6	[	[	X
ejpam-1597	443	7	10011001	10011001	NUM
ejpam-1597	443	8	]	]	PUNCT
ejpam-1597	443	9	;	;	PUNCT
ejpam-1597	443	10	in	in	ADP
ejpam-1597	443	11	this	this	DET
ejpam-1597	443	12	case	case	NOUN
ejpam-1597	443	13	,	,	PUNCT
ejpam-1597	443	14	predictors	predictor	NOUN
ejpam-1597	443	15	1,4,5,8	1,4,5,8	PRON
ejpam-1597	443	16	will	will	AUX
ejpam-1597	443	17	be	be	AUX
ejpam-1597	443	18	used	use	VERB
ejpam-1597	443	19	for	for	ADP
ejpam-1597	443	20	ols	ol	NOUN
ejpam-1597	443	21	while	while	SCONJ
ejpam-1597	443	22	2,3,6,7	2,3,6,7	NUM
ejpam-1597	443	23	will	will	AUX
ejpam-1597	443	24	not	not	PART
ejpam-1597	443	25	.	.	PUNCT
ejpam-1597	444	1	the	the	DET
ejpam-1597	444	2	general	general	ADJ
ejpam-1597	444	3	procedure	procedure	NOUN
ejpam-1597	444	4	in	in	ADP
ejpam-1597	444	5	the	the	DET
ejpam-1597	444	6	ga	ga	PROPN
ejpam-1597	444	7	is	be	AUX
ejpam-1597	444	8	simple	simple	ADJ
ejpam-1597	444	9	and	and	CCONJ
ejpam-1597	444	10	straightforward	straightforward	ADJ
ejpam-1597	444	11	:	:	PUNCT
ejpam-1597	444	12	1	1	X
ejpam-1597	444	13	.	.	X
ejpam-1597	444	14	generate	generate	VERB
ejpam-1597	444	15	initial	initial	ADJ
ejpam-1597	444	16	population	population	NOUN
ejpam-1597	444	17	of	of	ADP
ejpam-1597	444	18	chromosomes	chromosome	NOUN
ejpam-1597	444	19	2	2	NUM
ejpam-1597	444	20	.	.	PUNCT
ejpam-1597	444	21	score	score	VERB
ejpam-1597	444	22	all	all	DET
ejpam-1597	444	23	members	member	NOUN
ejpam-1597	444	24	of	of	ADP
ejpam-1597	444	25	current	current	ADJ
ejpam-1597	444	26	population	population	NOUN
ejpam-1597	444	27	3	3	X
ejpam-1597	444	28	.	.	PUNCT
ejpam-1597	444	29	determine	determine	VERB
ejpam-1597	444	30	how	how	SCONJ
ejpam-1597	444	31	current	current	ADJ
ejpam-1597	444	32	population	population	NOUN
ejpam-1597	444	33	is	be	AUX
ejpam-1597	444	34	mated	mate	VERB
ejpam-1597	444	35	and	and	CCONJ
ejpam-1597	444	36	represented	represent	VERB
ejpam-1597	444	37	in	in	ADP
ejpam-1597	444	38	next	next	ADJ
ejpam-1597	444	39	generation	generation	NOUN
ejpam-1597	444	40	4	4	NUM
ejpam-1597	444	41	.	.	PUNCT
ejpam-1597	444	42	perform	perform	VERB
ejpam-1597	444	43	chromosomal	chromosomal	ADJ
ejpam-1597	444	44	crossover	crossover	NOUN
ejpam-1597	444	45	and	and	CCONJ
ejpam-1597	444	46	genetic	genetic	ADJ
ejpam-1597	444	47	mutation	mutation	NOUN
ejpam-1597	444	48	5	5	NUM
ejpam-1597	444	49	.	.	PUNCT
ejpam-1597	444	50	pass	pass	VERB
ejpam-1597	444	51	on	on	ADP
ejpam-1597	444	52	offspring	offspring	NOUN
ejpam-1597	444	53	to	to	ADP
ejpam-1597	444	54	new	new	ADJ
ejpam-1597	444	55	generation	generation	NOUN
ejpam-1597	444	56	6	6	NUM
ejpam-1597	444	57	.	.	X
ejpam-1597	444	58	loop	loop	VERB
ejpam-1597	444	59	back	back	ADV
ejpam-1597	444	60	to	to	PART
ejpam-1597	444	61	step	step	VERB
ejpam-1597	444	62	2	2	NUM
ejpam-1597	444	63	until	until	SCONJ
ejpam-1597	444	64	termination	termination	NOUN
ejpam-1597	444	65	criteria	criterion	NOUN
ejpam-1597	444	66	met	meet	VERB
ejpam-1597	444	67	h.	h.	PROPN
ejpam-1597	444	68	bozdogan	bozdogan	PROPN
ejpam-1597	444	69	,	,	PUNCT
ejpam-1597	444	70	j.	j.	PROPN
ejpam-1597	444	71	howe	howe	PROPN
ejpam-1597	444	72	/	/	SYM
ejpam-1597	444	73	eur	eur	PROPN
ejpam-1597	444	74	.	.	PUNCT
ejpam-1597	445	1	j.	j.	PROPN
ejpam-1597	445	2	pure	pure	PROPN
ejpam-1597	445	3	appl	appl	PROPN
ejpam-1597	445	4	.	.	PROPN
ejpam-1597	445	5	math	math	PROPN
ejpam-1597	445	6	,	,	PUNCT
ejpam-1597	445	7	5	5	NUM
ejpam-1597	445	8	(	(	PUNCT
ejpam-1597	445	9	2012	2012	NUM
ejpam-1597	445	10	)	)	PUNCT
ejpam-1597	445	11	,	,	PUNCT
ejpam-1597	445	12	211	211	NUM
ejpam-1597	445	13	-	-	SYM
ejpam-1597	445	14	249	249	NUM
ejpam-1597	445	15	230	230	NUM
ejpam-1597	445	16	as	as	SCONJ
ejpam-1597	445	17	seen	see	VERB
ejpam-1597	445	18	in	in	ADP
ejpam-1597	445	19	table	table	NOUN
ejpam-1597	445	20	1	1	NUM
ejpam-1597	445	21	,	,	PUNCT
ejpam-1597	445	22	there	there	PRON
ejpam-1597	445	23	are	be	VERB
ejpam-1597	445	24	8	8	NUM
ejpam-1597	445	25	major	major	ADJ
ejpam-1597	445	26	parameters	parameter	NOUN
ejpam-1597	445	27	used	use	VERB
ejpam-1597	445	28	to	to	PART
ejpam-1597	445	29	define	define	VERB
ejpam-1597	445	30	the	the	DET
ejpam-1597	445	31	operation	operation	NOUN
ejpam-1597	445	32	of	of	ADP
ejpam-1597	445	33	the	the	DET
ejpam-1597	445	34	genetic	genetic	ADJ
ejpam-1597	445	35	algorithm	algorithm	NOUN
ejpam-1597	445	36	.	.	PUNCT
ejpam-1597	446	1	these	these	PRON
ejpam-1597	446	2	are	be	AUX
ejpam-1597	446	3	all	all	PRON
ejpam-1597	446	4	discussed	discuss	VERB
ejpam-1597	446	5	,	,	PUNCT
ejpam-1597	446	6	along	along	ADP
ejpam-1597	446	7	with	with	ADP
ejpam-1597	446	8	implementation	implementation	NOUN
ejpam-1597	446	9	methods	method	NOUN
ejpam-1597	446	10	,	,	PUNCT
ejpam-1597	446	11	below.table	below.table	ADJ
ejpam-1597	446	12	1	1	NUM
ejpam-1597	446	13	:	:	PUNCT
ejpam-1597	446	14	sample	sample	NOUN
ejpam-1597	446	15	geneti	geneti	ADJ
ejpam-1597	446	16	algorithm	algorithm	NOUN
ejpam-1597	446	17	parameters	parameter	NOUN
ejpam-1597	446	18	.	.	PUNCT
ejpam-1597	447	1	parameter	parameter	NOUN
ejpam-1597	447	2	setting	set	VERB
ejpam-1597	447	3	number	number	NOUN
ejpam-1597	447	4	generations	generation	NOUN
ejpam-1597	447	5	60	60	NUM
ejpam-1597	447	6	population	population	NOUN
ejpam-1597	447	7	size	size	NOUN
ejpam-1597	447	8	30	30	NUM
ejpam-1597	447	9	generation	generation	NOUN
ejpam-1597	447	10	seeding	seed	VERB
ejpam-1597	447	11	roulette	roulette	NOUN
ejpam-1597	447	12	crossover	crossover	NOUN
ejpam-1597	447	13	probability	probability	NOUN
ejpam-1597	447	14	0.75	0.75	NUM
ejpam-1597	447	15	mutation	mutation	NOUN
ejpam-1597	447	16	probability	probability	NOUN
ejpam-1597	447	17	0.10	0.10	NUM
ejpam-1597	447	18	objective	objective	ADJ
ejpam-1597	447	19	function	function	NOUN
ejpam-1597	447	20	information	information	NOUN
ejpam-1597	447	21	criterion	criterion	NOUN
ejpam-1597	447	22	5.1	5.1	NUM
ejpam-1597	447	23	.	.	PUNCT
ejpam-1597	448	1	number	number	NOUN
ejpam-1597	448	2	generations	generation	NOUN
ejpam-1597	448	3	each	each	DET
ejpam-1597	448	4	iteration	iteration	NOUN
ejpam-1597	448	5	in	in	ADP
ejpam-1597	448	6	the	the	DET
ejpam-1597	448	7	ga	ga	PROPN
ejpam-1597	448	8	is	be	AUX
ejpam-1597	448	9	called	call	VERB
ejpam-1597	448	10	a	a	DET
ejpam-1597	448	11	generation	generation	NOUN
ejpam-1597	448	12	,	,	PUNCT
ejpam-1597	448	13	for	for	ADP
ejpam-1597	448	14	obvious	obvious	ADJ
ejpam-1597	448	15	reasons	reason	NOUN
ejpam-1597	448	16	.	.	PUNCT
ejpam-1597	449	1	thus	thus	ADV
ejpam-1597	449	2	,	,	PUNCT
ejpam-1597	449	3	this	this	DET
ejpam-1597	449	4	parameter	parameter	NOUN
ejpam-1597	449	5	is	be	AUX
ejpam-1597	449	6	fairly	fairly	ADV
ejpam-1597	449	7	self	self	NOUN
ejpam-1597	449	8	explanatory	explanatory	ADJ
ejpam-1597	449	9	.	.	PUNCT
ejpam-1597	450	1	there	there	PRON
ejpam-1597	450	2	is	be	VERB
ejpam-1597	450	3	an	an	DET
ejpam-1597	450	4	important	important	ADJ
ejpam-1597	450	5	trade	trade	NOUN
ejpam-1597	450	6	-	-	PUNCT
ejpam-1597	450	7	off	off	NOUN
ejpam-1597	450	8	to	to	PART
ejpam-1597	450	9	note	note	VERB
ejpam-1597	450	10	,	,	PUNCT
ejpam-1597	450	11	when	when	SCONJ
ejpam-1597	450	12	selecting	select	VERB
ejpam-1597	450	13	the	the	DET
ejpam-1597	450	14	number	number	NOUN
ejpam-1597	450	15	of	of	ADP
ejpam-1597	450	16	generations	generation	NOUN
ejpam-1597	450	17	through	through	ADP
ejpam-1597	450	18	which	which	PRON
ejpam-1597	450	19	the	the	DET
ejpam-1597	450	20	ga	ga	PROPN
ejpam-1597	450	21	will	will	AUX
ejpam-1597	450	22	run	run	VERB
ejpam-1597	450	23	.	.	PUNCT
ejpam-1597	451	1	more	more	ADJ
ejpam-1597	451	2	generations	generation	NOUN
ejpam-1597	451	3	mean	mean	VERB
ejpam-1597	451	4	more	more	ADJ
ejpam-1597	451	5	computation	computation	NOUN
ejpam-1597	451	6	time	time	NOUN
ejpam-1597	451	7	;	;	PUNCT
ejpam-1597	451	8	however	however	ADV
ejpam-1597	451	9	,	,	PUNCT
ejpam-1597	451	10	not	not	PART
ejpam-1597	451	11	allowing	allow	VERB
ejpam-1597	451	12	the	the	DET
ejpam-1597	451	13	process	process	NOUN
ejpam-1597	451	14	to	to	PART
ejpam-1597	451	15	go	go	VERB
ejpam-1597	451	16	through	through	ADP
ejpam-1597	451	17	enough	enough	ADJ
ejpam-1597	451	18	iterations	iteration	NOUN
ejpam-1597	451	19	can	can	AUX
ejpam-1597	451	20	mean	mean	VERB
ejpam-1597	451	21	termination	termination	NOUN
ejpam-1597	451	22	with	with	ADP
ejpam-1597	451	23	a	a	DET
ejpam-1597	451	24	suboptimal	suboptimal	ADJ
ejpam-1597	451	25	result	result	NOUN
ejpam-1597	451	26	.	.	PUNCT
ejpam-1597	452	1	5.2	5.2	X
ejpam-1597	452	2	.	.	PUNCT
ejpam-1597	453	1	population	population	NOUN
ejpam-1597	453	2	size	size	NOUN
ejpam-1597	453	3	this	this	DET
ejpam-1597	453	4	parameter	parameter	NOUN
ejpam-1597	453	5	,	,	PUNCT
ejpam-1597	453	6	p	p	X
ejpam-1597	453	7	,	,	PUNCT
ejpam-1597	453	8	determines	determine	VERB
ejpam-1597	453	9	the	the	DET
ejpam-1597	453	10	number	number	NOUN
ejpam-1597	453	11	of	of	ADP
ejpam-1597	453	12	chromosomes	chromosome	NOUN
ejpam-1597	453	13	are	be	AUX
ejpam-1597	453	14	considered	consider	VERB
ejpam-1597	453	15	in	in	ADP
ejpam-1597	453	16	each	each	DET
ejpam-1597	453	17	generation	generation	NOUN
ejpam-1597	453	18	.	.	PUNCT
ejpam-1597	454	1	in	in	ADP
ejpam-1597	454	2	general	general	ADJ
ejpam-1597	454	3	,	,	PUNCT
ejpam-1597	454	4	one	one	PRON
ejpam-1597	454	5	would	would	AUX
ejpam-1597	454	6	expect	expect	VERB
ejpam-1597	454	7	convergence	convergence	NOUN
ejpam-1597	454	8	times	time	NOUN
ejpam-1597	454	9	to	to	PART
ejpam-1597	454	10	decrease	decrease	VERB
ejpam-1597	454	11	as	as	ADP
ejpam-1597	454	12	population	population	NOUN
ejpam-1597	454	13	size	size	NOUN
ejpam-1597	454	14	increases	increase	NOUN
ejpam-1597	454	15	,	,	PUNCT
ejpam-1597	454	16	up	up	ADP
ejpam-1597	454	17	to	to	ADP
ejpam-1597	454	18	a	a	DET
ejpam-1597	454	19	point	point	NOUN
ejpam-1597	454	20	.	.	PUNCT
ejpam-1597	455	1	after	after	ADP
ejpam-1597	455	2	that	that	DET
ejpam-1597	455	3	point	point	NOUN
ejpam-1597	455	4	,	,	PUNCT
ejpam-1597	455	5	the	the	DET
ejpam-1597	455	6	computational	computational	ADJ
ejpam-1597	455	7	time	time	NOUN
ejpam-1597	455	8	(	(	PUNCT
ejpam-1597	455	9	and	and	CCONJ
ejpam-1597	455	10	hence	hence	ADV
ejpam-1597	455	11	,	,	PUNCT
ejpam-1597	455	12	time	time	NOUN
ejpam-1597	455	13	to	to	PART
ejpam-1597	455	14	convergence	convergence	VERB
ejpam-1597	455	15	)	)	PUNCT
ejpam-1597	455	16	increases	increase	VERB
ejpam-1597	455	17	quickly	quickly	ADV
ejpam-1597	455	18	.	.	PUNCT
ejpam-1597	456	1	in	in	ADP
ejpam-1597	456	2	other	other	ADJ
ejpam-1597	456	3	unpublished	unpublished	ADJ
ejpam-1597	456	4	research	research	NOUN
ejpam-1597	456	5	,	,	PUNCT
ejpam-1597	456	6	performance	performance	NOUN
ejpam-1597	456	7	of	of	ADP
ejpam-1597	456	8	the	the	DET
ejpam-1597	456	9	ga	ga	PROPN
ejpam-1597	456	10	when	when	SCONJ
ejpam-1597	456	11	used	use	VERB
ejpam-1597	456	12	for	for	ADP
ejpam-1597	456	13	multivariate	multivariate	NOUN
ejpam-1597	456	14	subsetting	subsetting	NOUN
ejpam-1597	456	15	was	be	AUX
ejpam-1597	456	16	analyzed	analyze	VERB
ejpam-1597	456	17	as	as	SCONJ
ejpam-1597	456	18	operational	operational	ADJ
ejpam-1597	456	19	parameters	parameter	NOUN
ejpam-1597	456	20	were	be	AUX
ejpam-1597	456	21	purposely	purposely	ADV
ejpam-1597	456	22	varied	varied	ADJ
ejpam-1597	456	23	.	.	PUNCT
ejpam-1597	457	1	in	in	ADP
ejpam-1597	457	2	this	this	DET
ejpam-1597	457	3	case	case	NOUN
ejpam-1597	457	4	,	,	PUNCT
ejpam-1597	457	5	the	the	DET
ejpam-1597	457	6	goal	goal	NOUN
ejpam-1597	457	7	was	be	AUX
ejpam-1597	457	8	to	to	PART
ejpam-1597	457	9	maximize	maximize	VERB
ejpam-1597	457	10	the	the	DET
ejpam-1597	457	11	frequency	frequency	NOUN
ejpam-1597	457	12	,	,	PUNCT
ejpam-1597	457	13	across	across	ADP
ejpam-1597	457	14	all	all	DET
ejpam-1597	457	15	generations	generation	NOUN
ejpam-1597	457	16	,	,	PUNCT
ejpam-1597	457	17	with	with	ADP
ejpam-1597	457	18	which	which	PRON
ejpam-1597	457	19	the	the	DET
ejpam-1597	457	20	procedure	procedure	NOUN
ejpam-1597	457	21	selected	select	VERB
ejpam-1597	457	22	the	the	DET
ejpam-1597	457	23	optimal	optimal	ADJ
ejpam-1597	457	24	subset	subset	NOUN
ejpam-1597	457	25	.	.	PUNCT
ejpam-1597	458	1	tests	test	NOUN
ejpam-1597	458	2	were	be	AUX
ejpam-1597	458	3	performed	perform	VERB
ejpam-1597	458	4	on	on	ADP
ejpam-1597	458	5	a	a	DET
ejpam-1597	458	6	dataset	dataset	NOUN
ejpam-1597	458	7	for	for	ADP
ejpam-1597	458	8	which	which	PRON
ejpam-1597	458	9	the	the	DET
ejpam-1597	458	10	optimal	optimal	ADJ
ejpam-1597	458	11	subset	subset	NOUN
ejpam-1597	458	12	was	be	AUX
ejpam-1597	458	13	known	know	VERB
ejpam-1597	458	14	.	.	PUNCT
ejpam-1597	459	1	it	it	PRON
ejpam-1597	459	2	was	be	AUX
ejpam-1597	459	3	determined	determine	VERB
ejpam-1597	459	4	that	that	SCONJ
ejpam-1597	459	5	the	the	DET
ejpam-1597	459	6	ga	ga	PROPN
ejpam-1597	459	7	was	be	AUX
ejpam-1597	459	8	robust	robust	ADJ
ejpam-1597	459	9	to	to	SCONJ
ejpam-1597	459	10	all	all	DET
ejpam-1597	459	11	parameters	parameter	NOUN
ejpam-1597	459	12	tested	test	VERB
ejpam-1597	459	13	(	(	PUNCT
ejpam-1597	459	14	not	not	PART
ejpam-1597	459	15	all	all	DET
ejpam-1597	459	16	parameters	parameter	NOUN
ejpam-1597	459	17	used	use	VERB
ejpam-1597	459	18	here	here	ADV
ejpam-1597	459	19	were	be	AUX
ejpam-1597	459	20	varied	varied	ADJ
ejpam-1597	459	21	)	)	PUNCT
ejpam-1597	459	22	excepting	except	VERB
ejpam-1597	459	23	population	population	NOUN
ejpam-1597	459	24	size	size	NOUN
ejpam-1597	459	25	;	;	PUNCT
ejpam-1597	459	26	though	though	SCONJ
ejpam-1597	459	27	in	in	ADP
ejpam-1597	459	28	this	this	DET
ejpam-1597	459	29	case	case	NOUN
ejpam-1597	459	30	,	,	PUNCT
ejpam-1597	459	31	variation	variation	NOUN
ejpam-1597	459	32	in	in	ADP
ejpam-1597	459	33	population	population	NOUN
ejpam-1597	459	34	size	size	NOUN
ejpam-1597	459	35	only	only	ADV
ejpam-1597	459	36	explained	explain	VERB
ejpam-1597	459	37	half	half	DET
ejpam-1597	459	38	the	the	DET
ejpam-1597	459	39	variation	variation	NOUN
ejpam-1597	459	40	in	in	ADP
ejpam-1597	459	41	the	the	DET
ejpam-1597	459	42	response	response	NOUN
ejpam-1597	459	43	.	.	PUNCT
ejpam-1597	460	1	5.3	5.3	NUM
ejpam-1597	460	2	.	.	PUNCT
ejpam-1597	460	3	generation	generation	NOUN
ejpam-1597	460	4	seeding	seed	VERB
ejpam-1597	460	5	from	from	ADP
ejpam-1597	460	6	a	a	DET
ejpam-1597	460	7	given	give	VERB
ejpam-1597	460	8	population	population	NOUN
ejpam-1597	460	9	,	,	PUNCT
ejpam-1597	460	10	how	how	SCONJ
ejpam-1597	460	11	do	do	AUX
ejpam-1597	460	12	we	we	PRON
ejpam-1597	460	13	seed	seed	VERB
ejpam-1597	460	14	the	the	DET
ejpam-1597	460	15	members	member	NOUN
ejpam-1597	460	16	of	of	ADP
ejpam-1597	460	17	the	the	DET
ejpam-1597	460	18	next	next	ADJ
ejpam-1597	460	19	generation	generation	NOUN
ejpam-1597	460	20	in	in	ADP
ejpam-1597	460	21	preparation	preparation	NOUN
ejpam-1597	460	22	for	for	ADP
ejpam-1597	460	23	mating	mating	NOUN
ejpam-1597	460	24	?	?	PUNCT
ejpam-1597	461	1	there	there	PRON
ejpam-1597	461	2	are	be	VERB
ejpam-1597	461	3	two	two	NUM
ejpam-1597	461	4	primary	primary	ADJ
ejpam-1597	461	5	methods	method	NOUN
ejpam-1597	461	6	;	;	PUNCT
ejpam-1597	461	7	in	in	ADP
ejpam-1597	461	8	both	both	PRON
ejpam-1597	461	9	,	,	PUNCT
ejpam-1597	461	10	the	the	DET
ejpam-1597	461	11	first	first	ADJ
ejpam-1597	461	12	step	step	NOUN
ejpam-1597	461	13	is	be	AUX
ejpam-1597	461	14	to	to	PART
ejpam-1597	461	15	sort	sort	VERB
ejpam-1597	461	16	the	the	DET
ejpam-1597	461	17	current	current	ADJ
ejpam-1597	461	18	population	population	NOUN
ejpam-1597	461	19	by	by	ADP
ejpam-1597	461	20	the	the	DET
ejpam-1597	461	21	objective	objective	ADJ
ejpam-1597	461	22	function	function	NOUN
ejpam-1597	461	23	values	value	NOUN
ejpam-1597	461	24	,	,	PUNCT
ejpam-1597	461	25	such	such	ADJ
ejpam-1597	461	26	that	that	SCONJ
ejpam-1597	461	27	the	the	DET
ejpam-1597	461	28	“	"	PUNCT
ejpam-1597	461	29	most	most	ADV
ejpam-1597	461	30	fit	fit	ADJ
ejpam-1597	461	31	”	"	PUNCT
ejpam-1597	461	32	chromosomes	chromosome	NOUN
ejpam-1597	461	33	are	be	AUX
ejpam-1597	461	34	at	at	ADP
ejpam-1597	461	35	the	the	DET
ejpam-1597	461	36	beginning	beginning	NOUN
ejpam-1597	461	37	of	of	ADP
ejpam-1597	461	38	the	the	DET
ejpam-1597	461	39	list	list	NOUN
ejpam-1597	461	40	.	.	PUNCT
ejpam-1597	462	1	for	for	ADP
ejpam-1597	462	2	the	the	DET
ejpam-1597	462	3	simpler	simple	ADJ
ejpam-1597	462	4	“	"	PUNCT
ejpam-1597	462	5	sorted	sorted	ADJ
ejpam-1597	462	6	”	"	PUNCT
ejpam-1597	462	7	method	method	NOUN
ejpam-1597	462	8	,	,	PUNCT
ejpam-1597	462	9	no	no	PRON
ejpam-1597	462	10	more	more	ADJ
ejpam-1597	462	11	preparation	preparation	NOUN
ejpam-1597	462	12	is	be	AUX
ejpam-1597	462	13	necessary	necessary	ADJ
ejpam-1597	462	14	.	.	PUNCT
ejpam-1597	463	1	chromosomes	chromosome	NOUN
ejpam-1597	463	2	are	be	AUX
ejpam-1597	463	3	mated	mate	VERB
ejpam-1597	463	4	in	in	ADP
ejpam-1597	463	5	sequential	sequential	ADJ
ejpam-1597	463	6	pairs	pair	NOUN
ejpam-1597	463	7	(	(	PUNCT
ejpam-1597	463	8	mate(1,2	mate(1,2	NOUN
ejpam-1597	463	9	)	)	PUNCT
ejpam-1597	463	10	,	,	PUNCT
ejpam-1597	463	11	mate(3,4	mate(3,4	ADJ
ejpam-1597	463	12	)	)	PUNCT
ejpam-1597	463	13	,	,	PUNCT
ejpam-1597	463	14	etc	etc	X
ejpam-1597	463	15	.	.	X
ejpam-1597	463	16	.	.	PUNCT
ejpam-1597	463	17	.	.	PUNCT
ejpam-1597	463	18	)	)	PUNCT
ejpam-1597	463	19	.	.	PUNCT
ejpam-1597	464	1	the	the	DET
ejpam-1597	464	2	second	second	ADJ
ejpam-1597	464	3	method	method	NOUN
ejpam-1597	464	4	is	be	AUX
ejpam-1597	464	5	akin	akin	ADJ
ejpam-1597	464	6	to	to	ADP
ejpam-1597	464	7	a	a	DET
ejpam-1597	464	8	biased	biased	ADJ
ejpam-1597	464	9	roulette	roulette	NOUN
ejpam-1597	464	10	wheel	wheel	NOUN
ejpam-1597	464	11	,	,	PUNCT
ejpam-1597	464	12	in	in	ADP
ejpam-1597	464	13	which	which	PRON
ejpam-1597	464	14	the	the	DET
ejpam-1597	464	15	individual	individual	ADJ
ejpam-1597	464	16	bins	bin	NOUN
ejpam-1597	464	17	are	be	AUX
ejpam-1597	464	18	of	of	ADP
ejpam-1597	464	19	varied	varied	ADJ
ejpam-1597	464	20	size	size	NOUN
ejpam-1597	464	21	as	as	SCONJ
ejpam-1597	464	22	in	in	ADP
ejpam-1597	464	23	figure	figure	NOUN
ejpam-1597	464	24	4	4	NUM
ejpam-1597	464	25	.	.	PUNCT
ejpam-1597	464	26	bins	bin	NOUN
ejpam-1597	464	27	for	for	ADP
ejpam-1597	464	28	all	all	DET
ejpam-1597	464	29	chromosome	chromosome	NOUN
ejpam-1597	464	30	are	be	AUX
ejpam-1597	464	31	computed	compute	VERB
ejpam-1597	464	32	as	as	ADP
ejpam-1597	464	33	bi	bi	NOUN
ejpam-1597	464	34	=	=	NOUN
ejpam-1597	464	35	2i/(p(p	2i/(p(p	NUM
ejpam-1597	465	1	+	+	CCONJ
ejpam-1597	465	2	1	1	NUM
ejpam-1597	465	3	)	)	PUNCT
ejpam-1597	465	4	)	)	PUNCT
ejpam-1597	466	1	|	|	ADV
ejpam-1597	466	2	bi	bi	PROPN
ejpam-1597	466	3	∈	∈	PROPN
ejpam-1597	467	1	[	[	X
ejpam-1597	467	2	0,1	0,1	NUM
ejpam-1597	467	3	]	]	PUNCT
ejpam-1597	467	4	,	,	PUNCT
ejpam-1597	467	5	then	then	ADV
ejpam-1597	467	6	a	a	DET
ejpam-1597	467	7	cumulative	cumulative	ADJ
ejpam-1597	467	8	h.	h.	NOUN
ejpam-1597	467	9	bozdogan	bozdogan	PROPN
ejpam-1597	467	10	,	,	PUNCT
ejpam-1597	467	11	j.	j.	PROPN
ejpam-1597	467	12	howe	howe	PROPN
ejpam-1597	467	13	/	/	SYM
ejpam-1597	467	14	eur	eur	PROPN
ejpam-1597	467	15	.	.	PUNCT
ejpam-1597	468	1	j.	j.	PROPN
ejpam-1597	468	2	pure	pure	PROPN
ejpam-1597	468	3	appl	appl	PROPN
ejpam-1597	468	4	.	.	PROPN
ejpam-1597	468	5	math	math	PROPN
ejpam-1597	468	6	,	,	PUNCT
ejpam-1597	468	7	5	5	NUM
ejpam-1597	468	8	(	(	PUNCT
ejpam-1597	468	9	2012	2012	NUM
ejpam-1597	468	10	)	)	PUNCT
ejpam-1597	468	11	,	,	PUNCT
ejpam-1597	468	12	211	211	NUM
ejpam-1597	468	13	-	-	SYM
ejpam-1597	468	14	249	249	NUM
ejpam-1597	468	15	231figure	231figure	PROPN
ejpam-1597	468	16	4	4	NUM
ejpam-1597	468	17	:	:	PUNCT
ejpam-1597	468	18	con	con	PROPN
ejpam-1597	468	19	eptual	eptual	PROPN
ejpam-1597	468	20	roulette	roulette	NOUN
ejpam-1597	468	21	�	�	PROPN
ejpam-1597	468	22	wheel	wheel	PROPN
ejpam-1597	468	23	�	�	PROPN
ejpam-1597	468	24	.	.	PROPN
ejpam-1597	468	25	sum	sum	NOUN
ejpam-1597	468	26	of	of	ADP
ejpam-1597	468	27	these	these	DET
ejpam-1597	468	28	bins	bin	NOUN
ejpam-1597	468	29	is	be	AUX
ejpam-1597	468	30	computed	compute	VERB
ejpam-1597	468	31	.	.	PUNCT
ejpam-1597	469	1	as	as	ADP
ejpam-1597	469	2	an	an	DET
ejpam-1597	469	3	example	example	NOUN
ejpam-1597	469	4	,	,	PUNCT
ejpam-1597	469	5	consider	consider	VERB
ejpam-1597	469	6	the	the	DET
ejpam-1597	469	7	sorted	sorted	ADJ
ejpam-1597	469	8	list	list	NOUN
ejpam-1597	469	9	of	of	ADP
ejpam-1597	469	10	4	4	NUM
ejpam-1597	469	11	chromosomes	chromosome	NOUN
ejpam-1597	469	12	the	the	DET
ejpam-1597	469	13	bin	bin	NOUN
ejpam-1597	469	14	widths	width	NOUN
ejpam-1597	469	15	are	be	AUX
ejpam-1597	469	16	given	give	VERB
ejpam-1597	469	17	as	as	ADP
ejpam-1597	469	18	bi	bi	NOUN
ejpam-1597	469	19	=	=	PROPN
ejpam-1597	469	20	�	�	PROPN
ejpam-1597	469	21	0.40	0.40	NUM
ejpam-1597	469	22	0.30	0.30	NUM
ejpam-1597	469	23	0.20	0.20	NUM
ejpam-1597	469	24	0.10	0.10	NUM
ejpam-1597	469	25	�	�	NOUN
ejpam-1597	469	26	,	,	PUNCT
ejpam-1597	469	27	so	so	ADV
ejpam-1597	469	28	the	the	DET
ejpam-1597	469	29	bin	bin	NOUN
ejpam-1597	469	30	limits	limit	NOUN
ejpam-1597	469	31	are	be	AUX
ejpam-1597	469	32	bin	bin	NOUN
ejpam-1597	469	33	1	1	NUM
ejpam-1597	469	34	2	2	NUM
ejpam-1597	469	35	3	3	NUM
ejpam-1597	469	36	4	4	NUM
ejpam-1597	469	37	lower	low	ADJ
ejpam-1597	469	38	limit	limit	NOUN
ejpam-1597	469	39	0.00	0.00	NUM
ejpam-1597	469	40	0.40	0.40	NUM
ejpam-1597	469	41	0.70	0.70	NUM
ejpam-1597	469	42	0.90	0.90	NUM
ejpam-1597	469	43	upper	upper	ADJ
ejpam-1597	469	44	limit	limit	NOUN
ejpam-1597	469	45	0.40	0.40	NUM
ejpam-1597	469	46	0.70	0.70	NUM
ejpam-1597	469	47	0.90	0.90	NUM
ejpam-1597	469	48	1.00	1.00	NUM
ejpam-1597	469	49	.	.	PUNCT
ejpam-1597	470	1	clearly	clearly	ADV
ejpam-1597	470	2	,	,	PUNCT
ejpam-1597	470	3	the	the	DET
ejpam-1597	470	4	larger	large	ADJ
ejpam-1597	470	5	bins	bin	NOUN
ejpam-1597	470	6	are	be	AUX
ejpam-1597	470	7	at	at	ADP
ejpam-1597	470	8	the	the	DET
ejpam-1597	470	9	beginning	beginning	NOUN
ejpam-1597	470	10	,	,	PUNCT
ejpam-1597	470	11	corresponding	correspond	VERB
ejpam-1597	470	12	to	to	ADP
ejpam-1597	470	13	the	the	DET
ejpam-1597	470	14	most	most	ADV
ejpam-1597	470	15	fit	fit	ADJ
ejpam-1597	470	16	chromosomes	chromosome	NOUN
ejpam-1597	470	17	.	.	PUNCT
ejpam-1597	471	1	at	at	ADP
ejpam-1597	471	2	this	this	DET
ejpam-1597	471	3	point	point	NOUN
ejpam-1597	471	4	,	,	PUNCT
ejpam-1597	471	5	p	p	DET
ejpam-1597	471	6	random	random	ADJ
ejpam-1597	471	7	numbers	number	NOUN
ejpam-1597	471	8	are	be	AUX
ejpam-1597	471	9	generated	generate	VERB
ejpam-1597	471	10	uniformly	uniformly	ADV
ejpam-1597	471	11	from	from	ADP
ejpam-1597	471	12	[	[	X
ejpam-1597	471	13	0,1	0,1	NUM
ejpam-1597	471	14	]	]	PUNCT
ejpam-1597	471	15	and	and	CCONJ
ejpam-1597	471	16	placed	place	VERB
ejpam-1597	471	17	in	in	ADP
ejpam-1597	471	18	the	the	DET
ejpam-1597	471	19	appropriate	appropriate	ADJ
ejpam-1597	471	20	bin	bin	NOUN
ejpam-1597	471	21	.	.	PUNCT
ejpam-1597	472	1	for	for	ADP
ejpam-1597	472	2	each	each	DET
ejpam-1597	472	3	random	random	ADJ
ejpam-1597	472	4	variate	variate	NOUN
ejpam-1597	472	5	in	in	ADP
ejpam-1597	472	6	bin	bin	PROPN
ejpam-1597	472	7	i	i	PROPN
ejpam-1597	472	8	,	,	PUNCT
ejpam-1597	472	9	chromosome	chromosome	NOUN
ejpam-1597	472	10	i	i	PRON
ejpam-1597	472	11	gets	get	AUX
ejpam-1597	472	12	represented	represent	VERB
ejpam-1597	472	13	in	in	ADP
ejpam-1597	472	14	the	the	DET
ejpam-1597	472	15	next	next	ADJ
ejpam-1597	472	16	generation	generation	NOUN
ejpam-1597	472	17	.	.	PUNCT
ejpam-1597	473	1	in	in	ADP
ejpam-1597	473	2	this	this	DET
ejpam-1597	473	3	way	way	NOUN
ejpam-1597	473	4	,	,	PUNCT
ejpam-1597	473	5	chromosomes	chromosome	NOUN
ejpam-1597	473	6	with	with	ADP
ejpam-1597	473	7	a	a	DET
ejpam-1597	473	8	better	well	ADJ
ejpam-1597	473	9	objective	objective	ADJ
ejpam-1597	473	10	function	function	NOUN
ejpam-1597	473	11	value	value	NOUN
ejpam-1597	473	12	are	be	AUX
ejpam-1597	473	13	overrepresented	overrepresente	VERB
ejpam-1597	473	14	in	in	ADP
ejpam-1597	473	15	the	the	DET
ejpam-1597	473	16	mating	mating	NOUN
ejpam-1597	473	17	pool	pool	NOUN
ejpam-1597	473	18	.	.	PUNCT
ejpam-1597	474	1	the	the	DET
ejpam-1597	474	2	last	last	ADJ
ejpam-1597	474	3	step	step	NOUN
ejpam-1597	474	4	,	,	PUNCT
ejpam-1597	474	5	then	then	ADV
ejpam-1597	474	6	,	,	PUNCT
ejpam-1597	474	7	is	be	AUX
ejpam-1597	474	8	to	to	PART
ejpam-1597	474	9	randomly	randomly	VERB
ejpam-1597	474	10	permute	permute	VERB
ejpam-1597	474	11	the	the	DET
ejpam-1597	474	12	ordering	ordering	NOUN
ejpam-1597	474	13	of	of	ADP
ejpam-1597	474	14	the	the	DET
ejpam-1597	474	15	chromosomes	chromosome	NOUN
ejpam-1597	474	16	before	before	ADP
ejpam-1597	474	17	mating	mating	NOUN
ejpam-1597	474	18	;	;	PUNCT
ejpam-1597	474	19	after	after	ADP
ejpam-1597	474	20	permutation	permutation	NOUN
ejpam-1597	474	21	,	,	PUNCT
ejpam-1597	474	22	mating	mating	NOUN
ejpam-1597	474	23	occurs	occur	VERB
ejpam-1597	474	24	just	just	ADV
ejpam-1597	474	25	as	as	ADP
ejpam-1597	474	26	in	in	ADP
ejpam-1597	474	27	the	the	DET
ejpam-1597	474	28	sorted	sorted	ADJ
ejpam-1597	474	29	method	method	NOUN
ejpam-1597	474	30	.	.	PUNCT
ejpam-1597	475	1	5.4	5.4	NUM
ejpam-1597	475	2	.	.	PUNCT
ejpam-1597	476	1	crossover	crossover	ADP
ejpam-1597	476	2	probability	probability	NOUN
ejpam-1597	476	3	there	there	PRON
ejpam-1597	476	4	are	be	VERB
ejpam-1597	476	5	several	several	ADJ
ejpam-1597	476	6	ways	way	NOUN
ejpam-1597	476	7	in	in	ADP
ejpam-1597	476	8	which	which	PRON
ejpam-1597	476	9	crossover	crossover	NOUN
ejpam-1597	476	10	can	can	AUX
ejpam-1597	476	11	be	be	AUX
ejpam-1597	476	12	implemented	implement	VERB
ejpam-1597	476	13	,	,	PUNCT
ejpam-1597	476	14	including	include	VERB
ejpam-1597	476	15	:	:	PUNCT
ejpam-1597	476	16	•	•	NUM
ejpam-1597	476	17	single	single	ADJ
ejpam-1597	476	18	-	-	PUNCT
ejpam-1597	476	19	point	point	NOUN
ejpam-1597	476	20	(	(	PUNCT
ejpam-1597	476	21	fixed	fixed	ADJ
ejpam-1597	476	22	or	or	CCONJ
ejpam-1597	476	23	random	random	ADJ
ejpam-1597	476	24	)	)	PUNCT
ejpam-1597	476	25	•	•	NOUN
ejpam-1597	476	26	multiple	multiple	ADJ
ejpam-1597	476	27	-	-	PUNCT
ejpam-1597	476	28	point	point	NOUN
ejpam-1597	476	29	(	(	PUNCT
ejpam-1597	476	30	fixed	fixed	ADJ
ejpam-1597	476	31	or	or	CCONJ
ejpam-1597	476	32	random	random	ADJ
ejpam-1597	476	33	)	)	PUNCT
ejpam-1597	476	34	•	•	NUM
ejpam-1597	476	35	uniform	uniform	NOUN
ejpam-1597	476	36	(	(	PUNCT
ejpam-1597	476	37	fixed	fixed	ADJ
ejpam-1597	476	38	or	or	CCONJ
ejpam-1597	476	39	random	random	ADJ
ejpam-1597	476	40	)	)	PUNCT
ejpam-1597	476	41	we	we	PRON
ejpam-1597	476	42	’ve	’ve	AUX
ejpam-1597	476	43	chosen	choose	VERB
ejpam-1597	476	44	to	to	PART
ejpam-1597	476	45	use	use	VERB
ejpam-1597	476	46	the	the	DET
ejpam-1597	476	47	simplest	simple	ADJ
ejpam-1597	476	48	randomized	randomize	VERB
ejpam-1597	476	49	single	single	ADJ
ejpam-1597	476	50	-	-	PUNCT
ejpam-1597	476	51	point	point	NOUN
ejpam-1597	476	52	crossover	crossover	NOUN
ejpam-1597	476	53	.	.	PUNCT
ejpam-1597	477	1	for	for	ADP
ejpam-1597	477	2	each	each	DET
ejpam-1597	477	3	mating	mate	VERB
ejpam-1597	477	4	pair	pair	NOUN
ejpam-1597	477	5	,	,	PUNCT
ejpam-1597	477	6	a	a	DET
ejpam-1597	477	7	random	random	ADJ
ejpam-1597	477	8	uniform	uniform	NOUN
ejpam-1597	477	9	variate	variate	NOUN
ejpam-1597	477	10	is	be	AUX
ejpam-1597	477	11	selected	select	VERB
ejpam-1597	477	12	from	from	ADP
ejpam-1597	477	13	integers	integer	NOUN
ejpam-1597	477	14	in	in	ADP
ejpam-1597	477	15	the	the	DET
ejpam-1597	477	16	range	range	NOUN
ejpam-1597	477	17	�	�	PROPN
ejpam-1597	477	18	2,q−	2,q−	NUM
ejpam-1597	477	19	1	1	NUM
ejpam-1597	477	20	�	�	PROPN
ejpam-1597	477	21	,	,	PUNCT
ejpam-1597	477	22	this	this	DET
ejpam-1597	477	23	range	range	NOUN
ejpam-1597	477	24	is	be	AUX
ejpam-1597	477	25	used	use	VERB
ejpam-1597	477	26	,	,	PUNCT
ejpam-1597	477	27	rather	rather	ADV
ejpam-1597	477	28	than	than	ADP
ejpam-1597	477	29	�	�	PROPN
ejpam-1597	477	30	1,q	1,q	PROPN
ejpam-1597	477	31	�	�	PROPN
ejpam-1597	477	32	,	,	PUNCT
ejpam-1597	477	33	to	to	PART
ejpam-1597	477	34	protect	protect	VERB
ejpam-1597	477	35	against	against	ADP
ejpam-1597	477	36	endpoint	endpoint	NOUN
ejpam-1597	477	37	crossovers	crossover	NOUN
ejpam-1597	477	38	.	.	PUNCT
ejpam-1597	478	1	for	for	ADP
ejpam-1597	478	2	a	a	DET
ejpam-1597	478	3	given	give	VERB
ejpam-1597	478	4	pair	pair	NOUN
ejpam-1597	478	5	of	of	ADP
ejpam-1597	478	6	mating	mating	NOUN
ejpam-1597	478	7	chromosomes	chromosome	NOUN
ejpam-1597	478	8	,	,	PUNCT
ejpam-1597	478	9	their	their	PRON
ejpam-1597	478	10	right	right	ADV
ejpam-1597	478	11	-	-	PUNCT
ejpam-1597	478	12	most	most	ADJ
ejpam-1597	478	13	portions	portion	NOUN
ejpam-1597	478	14	are	be	AUX
ejpam-1597	478	15	traded	trade	VERB
ejpam-1597	478	16	starting	start	VERB
ejpam-1597	478	17	from	from	ADP
ejpam-1597	478	18	this	this	DET
ejpam-1597	478	19	point	point	NOUN
ejpam-1597	478	20	.	.	PUNCT
ejpam-1597	479	1	for	for	ADP
ejpam-1597	479	2	example	example	NOUN
ejpam-1597	479	3	,	,	PUNCT
ejpam-1597	479	4	if	if	SCONJ
ejpam-1597	479	5	the	the	DET
ejpam-1597	479	6	crossover	crossover	NOUN
ejpam-1597	479	7	point	point	NOUN
ejpam-1597	479	8	is	be	AUX
ejpam-1597	479	9	2	2	NUM
ejpam-1597	479	10	,	,	PUNCT
ejpam-1597	479	11	we	we	PRON
ejpam-1597	479	12	have	have	VERB
ejpam-1597	479	13	�	�	PROPN
ejpam-1597	479	14	�	�	PROPN
ejpam-1597	479	15	�	�	PROPN
ejpam-1597	479	16	�	�	PROPN
ejpam-1597	479	17	1	1	NUM
ejpam-1597	479	18	1	1	NUM
ejpam-1597	479	19	1	1	NUM
ejpam-1597	479	20	0	0	NUM
ejpam-1597	479	21	1	1	NUM
ejpam-1597	479	22	1	1	NUM
ejpam-1597	479	23	0	0	NUM
ejpam-1597	479	24	0	0	NUM
ejpam-1597	480	1	1	1	NUM
ejpam-1597	480	2	0	0	NUM
ejpam-1597	480	3	�	�	PROPN
ejpam-1597	480	4	�	�	PROPN
ejpam-1597	480	5	�	�	PROPN
ejpam-1597	480	6	�	�	PROPN
ejpam-1597	480	7	−→	−→	PROPN
ejpam-1597	480	8	�	�	PROPN
ejpam-1597	480	9	�	�	PROPN
ejpam-1597	480	10	�	�	PROPN
ejpam-1597	480	11	�	�	PROPN
ejpam-1597	480	12	1	1	NUM
ejpam-1597	480	13	1	1	NUM
ejpam-1597	480	14	0	0	NUM
ejpam-1597	480	15	1	1	NUM
ejpam-1597	480	16	0	0	NUM
ejpam-1597	480	17	1	1	NUM
ejpam-1597	480	18	0	0	NUM
ejpam-1597	480	19	1	1	NUM
ejpam-1597	480	20	0	0	NUM
ejpam-1597	480	21	1	1	NUM
ejpam-1597	480	22	�	�	PROPN
ejpam-1597	480	23	�	�	PROPN
ejpam-1597	480	24	�	�	PROPN
ejpam-1597	480	25	�	�	PROPN
ejpam-1597	480	26	.	.	PUNCT
ejpam-1597	481	1	for	for	ADP
ejpam-1597	481	2	each	each	DET
ejpam-1597	481	3	mating	mate	VERB
ejpam-1597	481	4	pair	pair	NOUN
ejpam-1597	481	5	,	,	PUNCT
ejpam-1597	481	6	a	a	DET
ejpam-1597	481	7	random	random	ADJ
ejpam-1597	481	8	variate	variate	NOUN
ejpam-1597	481	9	from	from	ADP
ejpam-1597	481	10	u(0,1	u(0,1	NOUN
ejpam-1597	481	11	)	)	PUNCT
ejpam-1597	481	12	is	be	AUX
ejpam-1597	481	13	generated	generate	VERB
ejpam-1597	481	14	;	;	PUNCT
ejpam-1597	481	15	if	if	SCONJ
ejpam-1597	481	16	it	it	PRON
ejpam-1597	481	17	is	be	AUX
ejpam-1597	481	18	less	less	ADJ
ejpam-1597	481	19	than	than	ADP
ejpam-1597	481	20	the	the	DET
ejpam-1597	481	21	crossover	crossover	NOUN
ejpam-1597	481	22	probability	probability	NOUN
ejpam-1597	481	23	,	,	PUNCT
ejpam-1597	481	24	the	the	DET
ejpam-1597	481	25	mating	mating	NOUN
ejpam-1597	481	26	pair	pair	NOUN
ejpam-1597	481	27	undergo	undergo	VERB
ejpam-1597	481	28	the	the	DET
ejpam-1597	481	29	crossover	crossover	NOUN
ejpam-1597	481	30	operation	operation	NOUN
ejpam-1597	481	31	.	.	PUNCT
ejpam-1597	482	1	otherwise	otherwise	ADV
ejpam-1597	482	2	,	,	PUNCT
ejpam-1597	482	3	the	the	DET
ejpam-1597	482	4	offspring	offspring	NOUN
ejpam-1597	482	5	are	be	AUX
ejpam-1597	482	6	pure	pure	ADJ
ejpam-1597	482	7	genetic	genetic	ADJ
ejpam-1597	482	8	replicants	replicant	NOUN
ejpam-1597	482	9	of	of	ADP
ejpam-1597	482	10	the	the	DET
ejpam-1597	482	11	parents	parent	NOUN
ejpam-1597	482	12	.	.	PUNCT
ejpam-1597	483	1	5.5	5.5	NUM
ejpam-1597	483	2	.	.	PUNCT
ejpam-1597	484	1	mutation	mutation	NOUN
ejpam-1597	484	2	probability	probability	NOUN
ejpam-1597	484	3	the	the	DET
ejpam-1597	484	4	mutation	mutation	NOUN
ejpam-1597	484	5	operation	operation	NOUN
ejpam-1597	484	6	is	be	AUX
ejpam-1597	484	7	simple	simple	ADJ
ejpam-1597	484	8	.	.	PUNCT
ejpam-1597	485	1	based	base	VERB
ejpam-1597	485	2	on	on	ADP
ejpam-1597	485	3	the	the	DET
ejpam-1597	485	4	mutation	mutation	NOUN
ejpam-1597	485	5	rate	rate	NOUN
ejpam-1597	485	6	,	,	PUNCT
ejpam-1597	485	7	chromosomes	chromosome	NOUN
ejpam-1597	485	8	are	be	AUX
ejpam-1597	485	9	randomly	randomly	ADV
ejpam-1597	485	10	selected	select	VERB
ejpam-1597	485	11	from	from	ADP
ejpam-1597	485	12	the	the	DET
ejpam-1597	485	13	current	current	ADJ
ejpam-1597	485	14	population	population	NOUN
ejpam-1597	485	15	to	to	PART
ejpam-1597	485	16	undergo	undergo	VERB
ejpam-1597	485	17	mutation	mutation	NOUN
ejpam-1597	485	18	.	.	PUNCT
ejpam-1597	486	1	for	for	ADP
ejpam-1597	486	2	each	each	DET
ejpam-1597	486	3	chromosome	chromosome	NOUN
ejpam-1597	486	4	,	,	PUNCT
ejpam-1597	486	5	loci	locus	NOUN
ejpam-1597	486	6	are	be	AUX
ejpam-1597	486	7	randomly	randomly	ADV
ejpam-1597	486	8	selected	select	VERB
ejpam-1597	486	9	(	(	PUNCT
ejpam-1597	486	10	uniformly	uniformly	ADV
ejpam-1597	486	11	)	)	PUNCT
ejpam-1597	486	12	,	,	PUNCT
ejpam-1597	486	13	at	at	ADP
ejpam-1597	486	14	the	the	DET
ejpam-1597	486	15	same	same	ADJ
ejpam-1597	486	16	mutation	mutation	NOUN
ejpam-1597	486	17	rate	rate	NOUN
ejpam-1597	486	18	,	,	PUNCT
ejpam-1597	486	19	and	and	CCONJ
ejpam-1597	486	20	their	their	PRON
ejpam-1597	486	21	bits	bit	NOUN
ejpam-1597	486	22	are	be	AUX
ejpam-1597	486	23	switched	switch	VERB
ejpam-1597	486	24	:	:	PUNCT
ejpam-1597	486	25	1−→	1−→	NUM
ejpam-1597	486	26	0	0	NUM
ejpam-1597	486	27	or	or	CCONJ
ejpam-1597	486	28	0−→	0−→	NUM
ejpam-1597	486	29	1	1	NUM
ejpam-1597	486	30	(	(	PUNCT
ejpam-1597	486	31	a	a	DET
ejpam-1597	486	32	not	not	PART
ejpam-1597	486	33	operation	operation	NOUN
ejpam-1597	486	34	)	)	PUNCT
ejpam-1597	486	35	.	.	PUNCT
ejpam-1597	487	1	h.	h.	PROPN
ejpam-1597	487	2	bozdogan	bozdogan	PROPN
ejpam-1597	487	3	,	,	PUNCT
ejpam-1597	487	4	j.	j.	PROPN
ejpam-1597	487	5	howe	howe	PROPN
ejpam-1597	487	6	/	/	SYM
ejpam-1597	487	7	eur	eur	PROPN
ejpam-1597	487	8	.	.	PUNCT
ejpam-1597	488	1	j.	j.	PROPN
ejpam-1597	488	2	pure	pure	PROPN
ejpam-1597	488	3	appl	appl	PROPN
ejpam-1597	488	4	.	.	PROPN
ejpam-1597	488	5	math	math	PROPN
ejpam-1597	488	6	,	,	PUNCT
ejpam-1597	488	7	5	5	NUM
ejpam-1597	488	8	(	(	PUNCT
ejpam-1597	488	9	2012	2012	NUM
ejpam-1597	488	10	)	)	PUNCT
ejpam-1597	488	11	,	,	PUNCT
ejpam-1597	488	12	211	211	NUM
ejpam-1597	488	13	-	-	SYM
ejpam-1597	488	14	249	249	NUM
ejpam-1597	488	15	232	232	NUM
ejpam-1597	488	16	5.6	5.6	NUM
ejpam-1597	488	17	.	.	PUNCT
ejpam-1597	489	1	objective	objective	ADJ
ejpam-1597	489	2	function	function	NOUN
ejpam-1597	489	3	more	more	ADV
ejpam-1597	489	4	or	or	CCONJ
ejpam-1597	489	5	less	less	ADJ
ejpam-1597	489	6	,	,	PUNCT
ejpam-1597	489	7	all	all	DET
ejpam-1597	489	8	optimization	optimization	NOUN
ejpam-1597	489	9	or	or	CCONJ
ejpam-1597	489	10	search	search	NOUN
ejpam-1597	489	11	procedures	procedure	NOUN
ejpam-1597	489	12	need	need	VERB
ejpam-1597	489	13	some	some	DET
ejpam-1597	489	14	objective	objective	ADJ
ejpam-1597	489	15	function	function	NOUN
ejpam-1597	489	16	to	to	PART
ejpam-1597	489	17	either	either	CCONJ
ejpam-1597	489	18	maximize	maximize	VERB
ejpam-1597	489	19	or	or	CCONJ
ejpam-1597	489	20	minimize	minimize	VERB
ejpam-1597	489	21	.	.	PUNCT
ejpam-1597	490	1	there	there	PRON
ejpam-1597	490	2	is	be	VERB
ejpam-1597	490	3	a	a	DET
ejpam-1597	490	4	large	large	ADJ
ejpam-1597	490	5	universe	universe	NOUN
ejpam-1597	490	6	of	of	ADP
ejpam-1597	490	7	appropriate	appropriate	ADJ
ejpam-1597	490	8	functions	function	NOUN
ejpam-1597	490	9	that	that	PRON
ejpam-1597	490	10	could	could	AUX
ejpam-1597	490	11	fill	fill	VERB
ejpam-1597	490	12	this	this	DET
ejpam-1597	490	13	role	role	NOUN
ejpam-1597	490	14	.	.	PUNCT
ejpam-1597	491	1	for	for	ADP
ejpam-1597	491	2	this	this	DET
ejpam-1597	491	3	problem	problem	NOUN
ejpam-1597	491	4	we	we	PRON
ejpam-1597	491	5	’ve	’ve	AUX
ejpam-1597	491	6	chosen	choose	VERB
ejpam-1597	491	7	to	to	PART
ejpam-1597	491	8	use	use	VERB
ejpam-1597	491	9	a	a	DET
ejpam-1597	491	10	class	class	NOUN
ejpam-1597	491	11	of	of	ADP
ejpam-1597	491	12	criteria	criterion	NOUN
ejpam-1597	491	13	called	call	VERB
ejpam-1597	491	14	information	information	NOUN
ejpam-1597	491	15	criteria	criterion	NOUN
ejpam-1597	491	16	.	.	PUNCT
ejpam-1597	492	1	specifically	specifically	ADV
ejpam-1597	492	2	,	,	PUNCT
ejpam-1597	492	3	we	we	PRON
ejpam-1597	492	4	present	present	VERB
ejpam-1597	492	5	the	the	DET
ejpam-1597	492	6	use	use	NOUN
ejpam-1597	492	7	of	of	ADP
ejpam-1597	492	8	bozdogan	bozdogan	PROPN
ejpam-1597	492	9	’s	’s	PART
ejpam-1597	492	10	icom	icom	PROPN
ejpam-1597	492	11	p	p	PROPN
ejpam-1597	492	12	which	which	PRON
ejpam-1597	492	13	drives	drive	VERB
ejpam-1597	492	14	effective	effective	ADJ
ejpam-1597	492	15	model	model	NOUN
ejpam-1597	492	16	selection	selection	NOUN
ejpam-1597	492	17	in	in	ADP
ejpam-1597	492	18	the	the	DET
ejpam-1597	492	19	face	face	NOUN
ejpam-1597	492	20	of	of	ADP
ejpam-1597	492	21	model	model	NOUN
ejpam-1597	492	22	misspecification	misspecification	NOUN
ejpam-1597	492	23	.	.	PUNCT
ejpam-1597	493	1	6	6	X
ejpam-1597	493	2	.	.	X
ejpam-1597	493	3	robust	robust	ADJ
ejpam-1597	493	4	covariance	covariance	NOUN
ejpam-1597	493	5	estimation	estimation	NOUN
ejpam-1597	493	6	in	in	ADP
ejpam-1597	493	7	many	many	ADJ
ejpam-1597	493	8	real	real	ADJ
ejpam-1597	493	9	-	-	PUNCT
ejpam-1597	493	10	life	life	NOUN
ejpam-1597	493	11	problems	problem	NOUN
ejpam-1597	493	12	,	,	PUNCT
ejpam-1597	493	13	covariance	covariance	NOUN
ejpam-1597	493	14	matrices	matrix	NOUN
ejpam-1597	493	15	can	can	AUX
ejpam-1597	493	16	become	become	VERB
ejpam-1597	493	17	ill	ill	ADV
ejpam-1597	493	18	-	-	PUNCT
ejpam-1597	493	19	conditioned	condition	VERB
ejpam-1597	493	20	,	,	PUNCT
ejpam-1597	493	21	non	non	ADJ
ejpam-1597	493	22	-	-	ADJ
ejpam-1597	493	23	positive	positive	ADJ
ejpam-1597	493	24	definite	definite	ADJ
ejpam-1597	493	25	,	,	PUNCT
ejpam-1597	493	26	or	or	CCONJ
ejpam-1597	493	27	even	even	ADV
ejpam-1597	493	28	singular	singular	ADJ
ejpam-1597	493	29	.	.	PUNCT
ejpam-1597	494	1	this	this	PRON
ejpam-1597	494	2	is	be	AUX
ejpam-1597	494	3	especially	especially	ADV
ejpam-1597	494	4	true	true	ADJ
ejpam-1597	494	5	in	in	ADP
ejpam-1597	494	6	cases	case	NOUN
ejpam-1597	494	7	of	of	ADP
ejpam-1597	494	8	regression	regression	NOUN
ejpam-1597	494	9	with	with	ADP
ejpam-1597	494	10	highly	highly	ADV
ejpam-1597	494	11	collinear	collinear	ADJ
ejpam-1597	494	12	predictors	predictor	NOUN
ejpam-1597	494	13	.	.	PUNCT
ejpam-1597	495	1	it	it	PRON
ejpam-1597	495	2	is	be	AUX
ejpam-1597	495	3	also	also	ADV
ejpam-1597	495	4	seen	see	VERB
ejpam-1597	495	5	in	in	ADP
ejpam-1597	495	6	situations	situation	NOUN
ejpam-1597	495	7	in	in	ADP
ejpam-1597	495	8	which	which	PRON
ejpam-1597	495	9	there	there	PRON
ejpam-1597	495	10	are	be	VERB
ejpam-1597	495	11	not	not	PART
ejpam-1597	495	12	many	many	ADJ
ejpam-1597	495	13	more	more	ADJ
ejpam-1597	495	14	observations	observation	NOUN
ejpam-1597	495	15	than	than	SCONJ
ejpam-1597	495	16	there	there	PRON
ejpam-1597	495	17	are	be	VERB
ejpam-1597	495	18	measurements	measurement	NOUN
ejpam-1597	495	19	,	,	PUNCT
ejpam-1597	495	20	or	or	CCONJ
ejpam-1597	495	21	variables	variable	NOUN
ejpam-1597	495	22	i.e.	i.e.	ADV
ejpam-1597	495	23	,	,	PUNCT
ejpam-1597	495	24	when	when	SCONJ
ejpam-1597	495	25	it	it	PRON
ejpam-1597	495	26	is	be	AUX
ejpam-1597	495	27	not	not	PART
ejpam-1597	495	28	the	the	DET
ejpam-1597	495	29	case	case	NOUN
ejpam-1597	495	30	that	that	SCONJ
ejpam-1597	495	31	n	n	X
ejpam-1597	495	32	≫	≫	PROPN
ejpam-1597	495	33	p.	p.	NOUN
ejpam-1597	495	34	the	the	DET
ejpam-1597	495	35	usual	usual	ADJ
ejpam-1597	495	36	response	response	NOUN
ejpam-1597	495	37	to	to	ADP
ejpam-1597	495	38	singular	singular	NOUN
ejpam-1597	495	39	or	or	CCONJ
ejpam-1597	495	40	ill	ill	ADV
ejpam-1597	495	41	-	-	PUNCT
ejpam-1597	495	42	conditioned	condition	VERB
ejpam-1597	495	43	covariance	covariance	NOUN
ejpam-1597	495	44	matrix	matrix	NOUN
ejpam-1597	495	45	estimates	estimate	NOUN
ejpam-1597	495	46	is	be	AUX
ejpam-1597	495	47	ridge	ridge	NOUN
ejpam-1597	495	48	regularization	regularization	NOUN
ejpam-1597	495	49	,	,	PUNCT
ejpam-1597	495	50	σ̂∗	σ̂∗	ADV
ejpam-1597	495	51	=	=	SYM
ejpam-1597	495	52	�	�	PROPN
ejpam-1597	495	53	σ̂	σ̂	X
ejpam-1597	495	54	+	+	PROPN
ejpam-1597	495	55	αip	αip	PROPN
ejpam-1597	495	56	�	�	PROPN
ejpam-1597	495	57	,	,	PUNCT
ejpam-1597	495	58	(	(	PUNCT
ejpam-1597	495	59	78	78	NUM
ejpam-1597	495	60	)	)	PUNCT
ejpam-1597	495	61	which	which	PRON
ejpam-1597	495	62	works	work	VERB
ejpam-1597	495	63	to	to	PART
ejpam-1597	495	64	counteract	counteract	VERB
ejpam-1597	495	65	the	the	DET
ejpam-1597	495	66	ill	ill	ADJ
ejpam-1597	495	67	-	-	PUNCT
ejpam-1597	495	68	conditionedness	conditionedness	NOUN
ejpam-1597	495	69	by	by	ADP
ejpam-1597	495	70	adjusting	adjust	VERB
ejpam-1597	495	71	the	the	DET
ejpam-1597	495	72	eigenvalues	eigenvalue	NOUN
ejpam-1597	495	73	of	of	ADP
ejpam-1597	495	74	σ̂.	σ̂.	NOUN
ejpam-1597	495	75	usually	usually	ADV
ejpam-1597	495	76	,	,	PUNCT
ejpam-1597	495	77	the	the	DET
ejpam-1597	495	78	ridge	ridge	NOUN
ejpam-1597	495	79	parameter	parameter	NOUN
ejpam-1597	495	80	,	,	PUNCT
ejpam-1597	495	81	α	α	PROPN
ejpam-1597	495	82	,	,	PUNCT
ejpam-1597	495	83	is	be	AUX
ejpam-1597	495	84	chosen	choose	VERB
ejpam-1597	495	85	to	to	PART
ejpam-1597	495	86	be	be	AUX
ejpam-1597	495	87	very	very	ADV
ejpam-1597	495	88	small	small	ADJ
ejpam-1597	495	89	.	.	PUNCT
ejpam-1597	496	1	this	this	PRON
ejpam-1597	496	2	,	,	PUNCT
ejpam-1597	496	3	of	of	ADP
ejpam-1597	496	4	course	course	NOUN
ejpam-1597	496	5	,	,	PUNCT
ejpam-1597	496	6	begs	beg	VERB
ejpam-1597	496	7	the	the	DET
ejpam-1597	496	8	questions	question	NOUN
ejpam-1597	496	9	•	•	ADP
ejpam-1597	496	10	"	"	PUNCT
ejpam-1597	496	11	how	how	SCONJ
ejpam-1597	496	12	large	large	ADJ
ejpam-1597	496	13	should	should	AUX
ejpam-1597	496	14	α	α	PRON
ejpam-1597	496	15	be	be	AUX
ejpam-1597	496	16	?	?	PUNCT
ejpam-1597	496	17	"	"	PUNCT
ejpam-1597	497	1	•	•	PRON
ejpam-1597	497	2	"	"	PUNCT
ejpam-1597	497	3	how	how	SCONJ
ejpam-1597	497	4	small	small	ADJ
ejpam-1597	497	5	can	can	AUX
ejpam-1597	497	6	α	α	PRON
ejpam-1597	497	7	be	be	AUX
ejpam-1597	497	8	?	?	PUNCT
ejpam-1597	497	9	"	"	PUNCT
ejpam-1597	497	10	.	.	PUNCT
ejpam-1597	498	1	the	the	DET
ejpam-1597	498	2	answer	answer	NOUN
ejpam-1597	498	3	to	to	ADP
ejpam-1597	498	4	these	these	DET
ejpam-1597	498	5	questions	question	NOUN
ejpam-1597	498	6	is	be	AUX
ejpam-1597	498	7	to	to	PART
ejpam-1597	498	8	use	use	VERB
ejpam-1597	498	9	robust	robust	ADJ
ejpam-1597	498	10	covariance	covariance	NOUN
ejpam-1597	498	11	estimators	estimator	NOUN
ejpam-1597	498	12	.	.	PUNCT
ejpam-1597	499	1	many	many	ADJ
ejpam-1597	499	2	different	different	ADJ
ejpam-1597	499	3	robust	robust	ADJ
ejpam-1597	499	4	,	,	PUNCT
ejpam-1597	499	5	or	or	CCONJ
ejpam-1597	499	6	smoothed	smooth	VERB
ejpam-1597	499	7	,	,	PUNCT
ejpam-1597	499	8	covariance	covariance	NOUN
ejpam-1597	499	9	estimators	estimator	NOUN
ejpam-1597	499	10	have	have	AUX
ejpam-1597	499	11	been	be	AUX
ejpam-1597	499	12	developed	develop	VERB
ejpam-1597	499	13	as	as	ADP
ejpam-1597	499	14	a	a	DET
ejpam-1597	499	15	way	way	NOUN
ejpam-1597	499	16	to	to	ADP
ejpam-1597	499	17	data	data	NOUN
ejpam-1597	499	18	-	-	PUNCT
ejpam-1597	499	19	adaptively	adaptively	ADV
ejpam-1597	499	20	improve	improve	VERB
ejpam-1597	499	21	ill	ill	ADV
ejpam-1597	499	22	-	-	PUNCT
ejpam-1597	499	23	conditioned	condition	VERB
ejpam-1597	499	24	and/or	and/or	CCONJ
ejpam-1597	499	25	singular	singular	ADJ
ejpam-1597	499	26	covariance	covariance	NOUN
ejpam-1597	499	27	matrix	matrix	NOUN
ejpam-1597	499	28	estimates	estimate	NOUN
ejpam-1597	499	29	.	.	PUNCT
ejpam-1597	500	1	several	several	ADJ
ejpam-1597	500	2	of	of	ADP
ejpam-1597	500	3	them	they	PRON
ejpam-1597	500	4	work	work	VERB
ejpam-1597	500	5	by	by	ADP
ejpam-1597	500	6	the	the	DET
ejpam-1597	500	7	same	same	ADJ
ejpam-1597	500	8	mechanism	mechanism	NOUN
ejpam-1597	500	9	as	as	SCONJ
ejpam-1597	500	10	ridge	ridge	NOUN
ejpam-1597	500	11	regularization	regularization	NOUN
ejpam-1597	500	12	perturb	perturb	VERB
ejpam-1597	500	13	the	the	DET
ejpam-1597	500	14	diagonals	diagonal	NOUN
ejpam-1597	500	15	,	,	PUNCT
ejpam-1597	500	16	and	and	CCONJ
ejpam-1597	500	17	hence	hence	ADV
ejpam-1597	500	18	,	,	PUNCT
ejpam-1597	500	19	the	the	DET
ejpam-1597	500	20	eigenvalues	eigenvalue	NOUN
ejpam-1597	500	21	.	.	PUNCT
ejpam-1597	501	1	although	although	SCONJ
ejpam-1597	501	2	we	we	PRON
ejpam-1597	501	3	use	use	VERB
ejpam-1597	501	4	only	only	ADV
ejpam-1597	501	5	the	the	DET
ejpam-1597	501	6	mle	mle	PROPN
ejpam-1597	501	7	/	/	SYM
ejpam-1597	501	8	eb	eb	PROPN
ejpam-1597	501	9	covariance	covariance	NOUN
ejpam-1597	501	10	estimator	estimator	NOUN
ejpam-1597	501	11	in	in	ADP
ejpam-1597	501	12	our	our	PRON
ejpam-1597	501	13	reported	report	VERB
ejpam-1597	501	14	results	result	NOUN
ejpam-1597	501	15	,	,	PUNCT
ejpam-1597	501	16	several	several	ADJ
ejpam-1597	501	17	methods	method	NOUN
ejpam-1597	501	18	implemented	implement	VERB
ejpam-1597	501	19	in	in	ADP
ejpam-1597	501	20	our	our	PRON
ejpam-1597	501	21	algorithm	algorithm	NOUN
ejpam-1597	501	22	include	include	VERB
ejpam-1597	501	23	:	:	PUNCT
ejpam-1597	501	24	•	•	NUM
ejpam-1597	501	25	maximum	maximum	ADJ
ejpam-1597	501	26	likelihood	likelihood	NOUN
ejpam-1597	501	27	/	/	SYM
ejpam-1597	501	28	empirical	empirical	ADJ
ejpam-1597	501	29	bayes	bayes	NOUN
ejpam-1597	501	30	σ̂m	σ̂m	PROPN
ejpam-1597	501	31	le	le	PROPN
ejpam-1597	501	32	/	/	SYM
ejpam-1597	501	33	eb	eb	PROPN
ejpam-1597	501	34	=	=	SYM
ejpam-1597	501	35	σ̂+	σ̂+	PROPN
ejpam-1597	502	1	p−	p−	NOUN
ejpam-1597	502	2	1	1	NUM
ejpam-1597	502	3	(	(	PUNCT
ejpam-1597	502	4	n	n	CCONJ
ejpam-1597	502	5	)	)	PUNCT
ejpam-1597	502	6	tr(σ̂	tr(σ̂	NOUN
ejpam-1597	502	7	)	)	PUNCT
ejpam-1597	502	8	ip	ip	NOUN
ejpam-1597	502	9	(	(	PUNCT
ejpam-1597	502	10	79	79	NUM
ejpam-1597	502	11	)	)	PUNCT
ejpam-1597	502	12	•	•	NUM
ejpam-1597	502	13	stipulated	stipulate	VERB
ejpam-1597	502	14	ridge	ridge	NOUN
ejpam-1597	502	15	,	,	PUNCT
ejpam-1597	502	16	[	[	X
ejpam-1597	502	17	39	39	NUM
ejpam-1597	502	18	]	]	PUNCT
ejpam-1597	502	19	σ̂sre	σ̂sre	NOUN
ejpam-1597	502	20	=	=	SYM
ejpam-1597	502	21	σ̂+	σ̂+	PROPN
ejpam-1597	502	22	p(p−	p(p−	ADJ
ejpam-1597	502	23	1	1	NUM
ejpam-1597	502	24	)	)	PUNCT
ejpam-1597	502	25	�	�	PROPN
ejpam-1597	502	26	(	(	PUNCT
ejpam-1597	502	27	2n	2n	NUM
ejpam-1597	502	28	)	)	PUNCT
ejpam-1597	502	29	tr(σ̂	tr(σ̂	NOUN
ejpam-1597	502	30	)	)	PUNCT
ejpam-1597	502	31	�	�	PROPN
ejpam-1597	502	32	−1	−1	NOUN
ejpam-1597	502	33	ip	ip	NOUN
ejpam-1597	502	34	(	(	PUNCT
ejpam-1597	502	35	80	80	NUM
ejpam-1597	502	36	)	)	PUNCT
ejpam-1597	502	37	•	•	NOUN
ejpam-1597	502	38	stipulated	stipulate	VERB
ejpam-1597	502	39	diagonal	diagonal	ADJ
ejpam-1597	502	40	,	,	PUNCT
ejpam-1597	502	41	[	[	X
ejpam-1597	502	42	39	39	NUM
ejpam-1597	502	43	]	]	PUNCT
ejpam-1597	502	44	σ̂sde	σ̂sde	NOUN
ejpam-1597	503	1	=	=	SYM
ejpam-1597	503	2	(	(	PUNCT
ejpam-1597	503	3	1−π)σ̂	1−π)σ̂	NOUN
ejpam-1597	503	4	+	+	NOUN
ejpam-1597	503	5	πdiag(σ̂	πdiag(σ̂	NOUN
ejpam-1597	503	6	)	)	PUNCT
ejpam-1597	503	7	,	,	PUNCT
ejpam-1597	503	8	π=	π=	X
ejpam-1597	503	9	p(p−	p(p−	VERB
ejpam-1597	503	10	1	1	NUM
ejpam-1597	503	11	)	)	PUNCT
ejpam-1597	503	12	�	�	PROPN
ejpam-1597	503	13	2n(tr(σ̂−1)−	2n(tr(σ̂−1)−	NUM
ejpam-1597	503	14	p	p	X
ejpam-1597	503	15	)	)	PUNCT
ejpam-1597	503	16	�	�	PROPN
ejpam-1597	503	17	−1	−1	NOUN
ejpam-1597	503	18	(	(	PUNCT
ejpam-1597	503	19	81	81	NUM
ejpam-1597	503	20	)	)	PUNCT
ejpam-1597	503	21	•	•	NOUN
ejpam-1597	503	22	convex	convex	NOUN
ejpam-1597	503	23	sum	sum	NOUN
ejpam-1597	503	24	,	,	PUNCT
ejpam-1597	503	25	[	[	X
ejpam-1597	503	26	31	31	NUM
ejpam-1597	503	27	,	,	PUNCT
ejpam-1597	503	28	11	11	NUM
ejpam-1597	503	29	]	]	PUNCT
ejpam-1597	503	30	σ̂cse	σ̂cse	NOUN
ejpam-1597	503	31	=	=	SYM
ejpam-1597	503	32	n	n	PROPN
ejpam-1597	503	33	n+m	n+m	NUM
ejpam-1597	503	34	σ̂	σ̂	X
ejpam-1597	503	35	+	+	CCONJ
ejpam-1597	503	36	(	(	PUNCT
ejpam-1597	503	37	1−	1−	NUM
ejpam-1597	503	38	n	n	NUM
ejpam-1597	503	39	n+m	n+m	NUM
ejpam-1597	503	40	)	)	PUNCT
ejpam-1597	503	41	�	�	PROPN
ejpam-1597	503	42	tr(σ̂	tr(σ̂	NOUN
ejpam-1597	503	43	)	)	PUNCT
ejpam-1597	503	44	p	p	PROPN
ejpam-1597	503	45	�	�	PROPN
ejpam-1597	503	46	ip	ip	NOUN
ejpam-1597	503	47	(	(	PUNCT
ejpam-1597	503	48	82	82	NUM
ejpam-1597	503	49	)	)	PUNCT
ejpam-1597	503	50	0	0	NUM
ejpam-1597	503	51	<	<	X
ejpam-1597	503	52	m	m	X
ejpam-1597	503	53	<	<	X
ejpam-1597	503	54	2	2	NUM
ejpam-1597	503	55	�	�	PROPN
ejpam-1597	503	56	p(1	p(1	PROPN
ejpam-1597	503	57	+	+	PROPN
ejpam-1597	503	58	β)−	β)−	ADJ
ejpam-1597	503	59	2	2	NUM
ejpam-1597	503	60	�	�	PROPN
ejpam-1597	503	61	p−	p−	PROPN
ejpam-1597	503	62	β	β	X
ejpam-1597	503	63	,	,	PUNCT
ejpam-1597	503	64	β	β	X
ejpam-1597	503	65	=	=	SYM
ejpam-1597	503	66	tr(σ̂)2	tr(σ̂)2	NUM
ejpam-1597	503	67	tr(σ̂2	tr(σ̂2	PROPN
ejpam-1597	503	68	)	)	PUNCT
ejpam-1597	503	69	h.	h.	NOUN
ejpam-1597	503	70	bozdogan	bozdogan	PROPN
ejpam-1597	503	71	,	,	PUNCT
ejpam-1597	503	72	j.	j.	PROPN
ejpam-1597	503	73	howe	howe	PROPN
ejpam-1597	503	74	/	/	SYM
ejpam-1597	503	75	eur	eur	PROPN
ejpam-1597	503	76	.	.	PUNCT
ejpam-1597	504	1	j.	j.	PROPN
ejpam-1597	504	2	pure	pure	PROPN
ejpam-1597	504	3	appl	appl	PROPN
ejpam-1597	504	4	.	.	PROPN
ejpam-1597	504	5	math	math	PROPN
ejpam-1597	504	6	,	,	PUNCT
ejpam-1597	504	7	5	5	NUM
ejpam-1597	504	8	(	(	PUNCT
ejpam-1597	504	9	2012	2012	NUM
ejpam-1597	504	10	)	)	PUNCT
ejpam-1597	504	11	,	,	PUNCT
ejpam-1597	504	12	211	211	NUM
ejpam-1597	504	13	-	-	SYM
ejpam-1597	504	14	249	249	NUM
ejpam-1597	504	15	233	233	NUM
ejpam-1597	504	16	•	•	NUM
ejpam-1597	504	17	thomaz	thomaz	ADJ
ejpam-1597	504	18	stabilization	stabilization	NOUN
ejpam-1597	505	1	[	[	X
ejpam-1597	505	2	41	41	NUM
ejpam-1597	505	3	]	]	PUNCT
ejpam-1597	505	4	σ̂thomaz	σ̂thomaz	NOUN
ejpam-1597	505	5	=	=	SYM
ejpam-1597	505	6	vλ∗v	vλ∗v	PROPN
ejpam-1597	505	7	(	(	PUNCT
ejpam-1597	505	8	83	83	NUM
ejpam-1597	505	9	)	)	PUNCT
ejpam-1597	505	10	λ∗	λ∗	NOUN
ejpam-1597	505	11	=	=	NOUN
ejpam-1597	505	12			PROPN
ejpam-1597	505	13			PROPN
ejpam-1597	505	14	max(λ1,λ	max(λ1,λ	PROPN
ejpam-1597	505	15	)	)	PUNCT
ejpam-1597	505	16	0	0	NUM
ejpam-1597	505	17	max(λ2,λ	max(λ2,λ	PROPN
ejpam-1597	505	18	)	)	PUNCT
ejpam-1597	505	19	.	.	PUNCT
ejpam-1597	505	20	.	.	PUNCT
ejpam-1597	505	21	.	.	PUNCT
ejpam-1597	506	1	...	...	PUNCT
ejpam-1597	507	1	0	0	NUM
ejpam-1597	507	2	max(λp	max(λp	NOUN
ejpam-1597	507	3	,	,	PUNCT
ejpam-1597	507	4	λ	λ	NOUN
ejpam-1597	507	5	)	)	PUNCT
ejpam-1597	507	6			PROPN
ejpam-1597	507	7			NOUN
ejpam-1597	507	8	(	(	PUNCT
ejpam-1597	507	9	84	84	NUM
ejpam-1597	507	10	)	)	PUNCT
ejpam-1597	507	11	λi	λi	NOUN
ejpam-1597	507	12	=	=	PROPN
ejpam-1597	507	13	ith	ith	PROPN
ejpam-1597	507	14	eigenvalue	eigenvalue	PROPN
ejpam-1597	507	15	,	,	PUNCT
ejpam-1597	507	16	λ	λ	X
ejpam-1597	507	17	=	=	NOUN
ejpam-1597	507	18	mean	mean	NOUN
ejpam-1597	507	19	eigenvalue	eigenvalue	NOUN
ejpam-1597	507	20	,	,	PUNCT
ejpam-1597	507	21	v	v	NOUN
ejpam-1597	507	22	=	=	NOUN
ejpam-1597	507	23	matrix	matrix	NOUN
ejpam-1597	507	24	of	of	ADP
ejpam-1597	507	25	eigenvectors	eigenvector	NOUN
ejpam-1597	507	26	when	when	SCONJ
ejpam-1597	507	27	a	a	DET
ejpam-1597	507	28	small	small	ADJ
ejpam-1597	507	29	amount	amount	NOUN
ejpam-1597	507	30	of	of	ADP
ejpam-1597	507	31	perturbation	perturbation	NOUN
ejpam-1597	507	32	is	be	AUX
ejpam-1597	507	33	all	all	PRON
ejpam-1597	507	34	that	that	PRON
ejpam-1597	507	35	is	be	AUX
ejpam-1597	507	36	required	require	VERB
ejpam-1597	507	37	,	,	PUNCT
ejpam-1597	507	38	σ̂m	σ̂m	PROPN
ejpam-1597	507	39	le	le	PROPN
ejpam-1597	507	40	/	/	SYM
ejpam-1597	507	41	eb	eb	PROPN
ejpam-1597	507	42	has	have	VERB
ejpam-1597	507	43	a	a	DET
ejpam-1597	507	44	certain	certain	ADJ
ejpam-1597	507	45	appeal	appeal	NOUN
ejpam-1597	507	46	.	.	PUNCT
ejpam-1597	508	1	as	as	SCONJ
ejpam-1597	508	2	is	be	AUX
ejpam-1597	508	3	clear	clear	ADJ
ejpam-1597	508	4	in	in	ADP
ejpam-1597	508	5	(	(	PUNCT
ejpam-1597	508	6	79	79	NUM
ejpam-1597	508	7	)	)	PUNCT
ejpam-1597	508	8	,	,	PUNCT
ejpam-1597	508	9	this	this	PRON
ejpam-1597	508	10	is	be	AUX
ejpam-1597	508	11	the	the	DET
ejpam-1597	508	12	same	same	ADJ
ejpam-1597	508	13	form	form	NOUN
ejpam-1597	508	14	of	of	ADP
ejpam-1597	508	15	the	the	DET
ejpam-1597	508	16	naive	naive	ADJ
ejpam-1597	508	17	ridge	ridge	NOUN
ejpam-1597	508	18	regularization	regularization	NOUN
ejpam-1597	508	19	,	,	PUNCT
ejpam-1597	508	20	where	where	SCONJ
ejpam-1597	508	21	α	α	PROPN
ejpam-1597	508	22	is	be	AUX
ejpam-1597	508	23	determined	determine	VERB
ejpam-1597	508	24	by	by	ADP
ejpam-1597	508	25	the	the	DET
ejpam-1597	508	26	data	datum	NOUN
ejpam-1597	508	27	.	.	PUNCT
ejpam-1597	509	1	for	for	ADP
ejpam-1597	509	2	the	the	DET
ejpam-1597	509	3	results	result	NOUN
ejpam-1597	509	4	reported	report	VERB
ejpam-1597	509	5	here	here	ADV
ejpam-1597	509	6	,	,	PUNCT
ejpam-1597	509	7	we	we	PRON
ejpam-1597	509	8	used	use	VERB
ejpam-1597	509	9	the	the	DET
ejpam-1597	509	10	empirical	empirical	ADJ
ejpam-1597	509	11	bayes	bayes	PROPN
ejpam-1597	509	12	estimator	estimator	NOUN
ejpam-1597	509	13	,	,	PUNCT
ejpam-1597	509	14	so	so	SCONJ
ejpam-1597	509	15	as	as	SCONJ
ejpam-1597	509	16	to	to	PART
ejpam-1597	509	17	perturb	perturb	VERB
ejpam-1597	509	18	the	the	DET
ejpam-1597	509	19	estimates	estimate	NOUN
ejpam-1597	509	20	as	as	ADV
ejpam-1597	509	21	little	little	ADJ
ejpam-1597	509	22	as	as	ADP
ejpam-1597	509	23	possible	possible	ADJ
ejpam-1597	509	24	.	.	PUNCT
ejpam-1597	510	1	even	even	ADV
ejpam-1597	510	2	then	then	ADV
ejpam-1597	510	3	,	,	PUNCT
ejpam-1597	510	4	we	we	PRON
ejpam-1597	510	5	prefer	prefer	VERB
ejpam-1597	510	6	to	to	PART
ejpam-1597	510	7	not	not	PART
ejpam-1597	510	8	change	change	VERB
ejpam-1597	510	9	the	the	DET
ejpam-1597	510	10	problem	problem	NOUN
ejpam-1597	510	11	more	more	ADV
ejpam-1597	510	12	than	than	ADP
ejpam-1597	510	13	necessary	necessary	ADJ
ejpam-1597	510	14	,	,	PUNCT
ejpam-1597	510	15	so	so	ADV
ejpam-1597	510	16	we	we	PRON
ejpam-1597	510	17	perform	perform	VERB
ejpam-1597	510	18	two	two	NUM
ejpam-1597	510	19	tests	test	NOUN
ejpam-1597	510	20	for	for	ADP
ejpam-1597	510	21	matrix	matrix	NOUN
ejpam-1597	510	22	condition	condition	NOUN
ejpam-1597	510	23	:	:	PUNCT
ejpam-1597	510	24	1	1	X
ejpam-1597	510	25	.	.	X
ejpam-1597	510	26	is	be	AUX
ejpam-1597	510	27	the	the	DET
ejpam-1597	510	28	reciprocal	reciprocal	NOUN
ejpam-1597	510	29	of	of	ADP
ejpam-1597	510	30	the	the	DET
ejpam-1597	510	31	condition	condition	NOUN
ejpam-1597	510	32	number	number	NOUN
ejpam-1597	510	33	small	small	ADJ
ejpam-1597	510	34	:	:	PUNCT
ejpam-1597	510	35	κ−1(σ̂)≤	κ−1(σ̂)≤	NOUN
ejpam-1597	510	36	1e−10	1e−10	NUM
ejpam-1597	510	37	?	?	PUNCT
ejpam-1597	511	1	2	2	NUM
ejpam-1597	511	2	.	.	X
ejpam-1597	511	3	is	be	AUX
ejpam-1597	511	4	the	the	DET
ejpam-1597	511	5	mle	mle	PROPN
ejpam-1597	511	6	nonpositive	nonpositive	ADJ
ejpam-1597	511	7	definite	definite	ADJ
ejpam-1597	511	8	?	?	PUNCT
ejpam-1597	512	1	if	if	SCONJ
ejpam-1597	512	2	the	the	DET
ejpam-1597	512	3	answer	answer	NOUN
ejpam-1597	512	4	to	to	ADP
ejpam-1597	512	5	either	either	DET
ejpam-1597	512	6	question	question	NOUN
ejpam-1597	512	7	is	be	AUX
ejpam-1597	512	8	in	in	ADP
ejpam-1597	512	9	the	the	DET
ejpam-1597	512	10	affirmative	affirmative	NOUN
ejpam-1597	512	11	,	,	PUNCT
ejpam-1597	512	12	we	we	PRON
ejpam-1597	512	13	apply	apply	VERB
ejpam-1597	512	14	the	the	DET
ejpam-1597	512	15	robust	robust	ADJ
ejpam-1597	512	16	covariance	covariance	NOUN
ejpam-1597	512	17	estimator	estimator	NOUN
ejpam-1597	512	18	to	to	PART
ejpam-1597	512	19	give	give	VERB
ejpam-1597	512	20	us	we	PRON
ejpam-1597	512	21	a	a	DET
ejpam-1597	512	22	well	well	ADV
ejpam-1597	512	23	-	-	PUNCT
ejpam-1597	512	24	conditioned	condition	VERB
ejpam-1597	512	25	estimate	estimate	NOUN
ejpam-1597	512	26	,	,	PUNCT
ejpam-1597	512	27	σ̂∗.	σ̂∗.	PROPN
ejpam-1597	512	28	7	7	NUM
ejpam-1597	512	29	.	.	PUNCT
ejpam-1597	512	30	numerical	numerical	ADJ
ejpam-1597	512	31	results	result	NOUN
ejpam-1597	512	32	7.1	7.1	NUM
ejpam-1597	512	33	.	.	PUNCT
ejpam-1597	513	1	simulation	simulation	NOUN
ejpam-1597	513	2	with	with	ADP
ejpam-1597	513	3	correlated	correlate	VERB
ejpam-1597	513	4	redundant	redundant	ADJ
ejpam-1597	513	5	variables	variable	NOUN
ejpam-1597	513	6	we	we	PRON
ejpam-1597	513	7	first	first	ADV
ejpam-1597	513	8	demonstrate	demonstrate	VERB
ejpam-1597	513	9	the	the	DET
ejpam-1597	513	10	performance	performance	NOUN
ejpam-1597	513	11	of	of	ADP
ejpam-1597	513	12	misspecification	misspecification	NOUN
ejpam-1597	513	13	-	-	PUNCT
ejpam-1597	513	14	robust	robust	ADJ
ejpam-1597	513	15	information	information	NOUN
ejpam-1597	513	16	criteria	criterion	NOUN
ejpam-1597	513	17	on	on	ADP
ejpam-1597	513	18	a	a	DET
ejpam-1597	513	19	simulated	simulate	VERB
ejpam-1597	513	20	dataset	dataset	NOUN
ejpam-1597	513	21	using	use	VERB
ejpam-1597	513	22	a	a	DET
ejpam-1597	513	23	complex	complex	ADJ
ejpam-1597	513	24	simulation	simulation	NOUN
ejpam-1597	513	25	protocol	protocol	NOUN
ejpam-1597	513	26	.	.	PUNCT
ejpam-1597	514	1	we	we	PRON
ejpam-1597	514	2	begin	begin	VERB
ejpam-1597	514	3	by	by	ADP
ejpam-1597	514	4	generating	generate	VERB
ejpam-1597	514	5	five	five	NUM
ejpam-1597	514	6	correlated	correlate	VERB
ejpam-1597	514	7	regressors	regressor	NOUN
ejpam-1597	514	8	,	,	PUNCT
ejpam-1597	514	9	with	with	ADP
ejpam-1597	514	10	x4	x4	PROPN
ejpam-1597	514	11	and	and	CCONJ
ejpam-1597	514	12	x5	x5	NOUN
ejpam-1597	514	13	redundant	redundant	ADJ
ejpam-1597	514	14	.	.	PUNCT
ejpam-1597	515	1	x0	x0	PROPN
ejpam-1597	515	2	=	=	PUNCT
ejpam-1597	516	1	1	1	NUM
ejpam-1597	516	2	(	(	PUNCT
ejpam-1597	516	3	constant	constant	ADJ
ejpam-1597	516	4	)	)	PUNCT
ejpam-1597	516	5	x1	x1	NOUN
ejpam-1597	517	1	=	=	SYM
ejpam-1597	517	2	10	10	NUM
ejpam-1597	517	3	+	+	NUM
ejpam-1597	517	4	ǫ1	ǫ1	NUM
ejpam-1597	517	5	x2	x2	NOUN
ejpam-1597	517	6	=	=	PUNCT
ejpam-1597	517	7	10+ρǫ1	10+ρǫ1	NUM
ejpam-1597	517	8	+	+	ADJ
ejpam-1597	517	9	αǫ2	αǫ2	NOUN
ejpam-1597	517	10	x3	x3	NOUN
ejpam-1597	517	11	=	=	SYM
ejpam-1597	518	1	10+ρǫ1	10+ρǫ1	NUM
ejpam-1597	518	2	+	+	PUNCT
ejpam-1597	518	3	0.5604αǫ2	0.5604αǫ2	NOUN
ejpam-1597	518	4	+	+	CCONJ
ejpam-1597	518	5	0.8282αǫ3	0.8282αǫ3	NOUN
ejpam-1597	518	6	x4	x4	PROPN
ejpam-1597	518	7	=	=	PUNCT
ejpam-1597	519	1	−8	−8	NOUN
ejpam-1597	520	1	+	+	NUM
ejpam-1597	520	2	x1	x1	PROPN
ejpam-1597	520	3	+	+	NOUN
ejpam-1597	520	4	0.5x2+ρx3	0.5x2+ρx3	NUM
ejpam-1597	520	5	+	+	SYM
ejpam-1597	520	6	0.5ǫ4	0.5ǫ4	NUM
ejpam-1597	520	7	x5	x5	NOUN
ejpam-1597	520	8	=	=	SYM
ejpam-1597	521	1	−5	−5	PROPN
ejpam-1597	521	2	+	+	NOUN
ejpam-1597	521	3	0.5x1	0.5x1	NUM
ejpam-1597	521	4	+	+	SYM
ejpam-1597	521	5	x2	x2	NOUN
ejpam-1597	522	1	+	+	CCONJ
ejpam-1597	522	2	0.5ǫ5	0.5ǫ5	NUM
ejpam-1597	522	3	the	the	DET
ejpam-1597	522	4	ǫi	ǫi	PROPN
ejpam-1597	522	5	are	be	AUX
ejpam-1597	522	6	drawn	draw	VERB
ejpam-1597	522	7	from	from	ADP
ejpam-1597	522	8	a	a	DET
ejpam-1597	522	9	standardized	standardized	ADJ
ejpam-1597	522	10	gaussian	gaussian	ADJ
ejpam-1597	522	11	distribution	distribution	NOUN
ejpam-1597	522	12	,	,	PUNCT
ejpam-1597	522	13	ρ	ρ	PROPN
ejpam-1597	522	14	=	=	SYM
ejpam-1597	522	15	0.3	0.3	NUM
ejpam-1597	522	16	controls	control	VERB
ejpam-1597	522	17	the	the	DET
ejpam-1597	522	18	correlation	correlation	NOUN
ejpam-1597	522	19	,	,	PUNCT
ejpam-1597	522	20	as	as	SCONJ
ejpam-1597	522	21	does	do	VERB
ejpam-1597	522	22	α	α	NOUN
ejpam-1597	522	23	=	=	PUNCT
ejpam-1597	522	24	p	p	PROPN
ejpam-1597	522	25	1−ρ2	1−ρ2	NUM
ejpam-1597	522	26	.	.	PUNCT
ejpam-1597	523	1	thus	thus	ADV
ejpam-1597	523	2	far	far	ADV
ejpam-1597	523	3	,	,	PUNCT
ejpam-1597	523	4	we	we	PRON
ejpam-1597	523	5	have	have	VERB
ejpam-1597	523	6	x	x	NOUN
ejpam-1597	523	7	=	=	SYM
ejpam-1597	523	8	�	�	PROPN
ejpam-1597	523	9	x0	x0	PROPN
ejpam-1597	523	10	,	,	PUNCT
ejpam-1597	523	11	x1	x1	PROPN
ejpam-1597	523	12	,	,	PUNCT
ejpam-1597	523	13	x2	x2	PROPN
ejpam-1597	523	14	,	,	PUNCT
ejpam-1597	523	15	x3	x3	PROPN
ejpam-1597	523	16	,	,	PUNCT
ejpam-1597	523	17	x4	x4	PROPN
ejpam-1597	523	18	,	,	PUNCT
ejpam-1597	523	19	x5	x5	PROPN
ejpam-1597	523	20	�	�	PROPN
ejpam-1597	523	21	.	.	PUNCT
ejpam-1597	524	1	we	we	PRON
ejpam-1597	524	2	now	now	ADV
ejpam-1597	524	3	turn	turn	VERB
ejpam-1597	524	4	our	our	PRON
ejpam-1597	524	5	focus	focus	NOUN
ejpam-1597	524	6	to	to	ADP
ejpam-1597	524	7	the	the	DET
ejpam-1597	524	8	response	response	NOUN
ejpam-1597	524	9	matrix	matrix	NOUN
ejpam-1597	524	10	,	,	PUNCT
ejpam-1597	524	11	which	which	PRON
ejpam-1597	524	12	we	we	PRON
ejpam-1597	524	13	create	create	VERB
ejpam-1597	524	14	as	as	ADP
ejpam-1597	524	15	:	:	PUNCT
ejpam-1597	524	16	yn×2	yn×2	PROPN
ejpam-1597	524	17	=	=	PUNCT
ejpam-1597	524	18	x	x	PUNCT
ejpam-1597	524	19	∗n×4b4×2	∗n×4b4×2	NOUN
ejpam-1597	525	1	+	+	CCONJ
ejpam-1597	525	2	εn×2	εn×2	NUM
ejpam-1597	525	3	where	where	SCONJ
ejpam-1597	525	4	x	x	PUNCT
ejpam-1597	525	5	∗	∗	NOUN
ejpam-1597	525	6	=	=	PUNCT
ejpam-1597	525	7	�	�	PROPN
ejpam-1597	525	8	x0	x0	PROPN
ejpam-1597	525	9	,	,	PUNCT
ejpam-1597	525	10	x1	x1	PROPN
ejpam-1597	525	11	,	,	PUNCT
ejpam-1597	525	12	x2	x2	PROPN
ejpam-1597	525	13	,	,	PUNCT
ejpam-1597	525	14	x3	x3	PROPN
ejpam-1597	525	15	�	�	PROPN
ejpam-1597	525	16	and	and	CCONJ
ejpam-1597	525	17	h.	h.	PROPN
ejpam-1597	525	18	bozdogan	bozdogan	PROPN
ejpam-1597	525	19	,	,	PUNCT
ejpam-1597	525	20	j.	j.	PROPN
ejpam-1597	525	21	howe	howe	PROPN
ejpam-1597	525	22	/	/	SYM
ejpam-1597	525	23	eur	eur	PROPN
ejpam-1597	525	24	.	.	PUNCT
ejpam-1597	526	1	j.	j.	PROPN
ejpam-1597	526	2	pure	pure	PROPN
ejpam-1597	526	3	appl	appl	PROPN
ejpam-1597	526	4	.	.	PROPN
ejpam-1597	526	5	math	math	PROPN
ejpam-1597	526	6	,	,	PUNCT
ejpam-1597	526	7	5	5	NUM
ejpam-1597	526	8	(	(	PUNCT
ejpam-1597	526	9	2012	2012	NUM
ejpam-1597	526	10	)	)	PUNCT
ejpam-1597	526	11	,	,	PUNCT
ejpam-1597	526	12	211	211	NUM
ejpam-1597	526	13	-	-	SYM
ejpam-1597	526	14	249	249	NUM
ejpam-1597	526	15	234	234	NUM
ejpam-1597	526	16	b	b	NOUN
ejpam-1597	526	17	=	=	PUNCT
ejpam-1597	526	18			VERB
ejpam-1597	526	19			PRON
ejpam-1597	526	20	−8	−8	PUNCT
ejpam-1597	526	21	−5	−5	ADP
ejpam-1597	526	22	1.0	1.0	NUM
ejpam-1597	526	23	0.5	0.5	NUM
ejpam-1597	526	24	0.5	0.5	NUM
ejpam-1597	526	25	0.0	0.0	NUM
ejpam-1597	526	26	0.3	0.3	NUM
ejpam-1597	526	27	0.3	0.3	NUM
ejpam-1597	526	28			PROPN
ejpam-1597	526	29			NOUN
ejpam-1597	526	30	.	.	PUNCT
ejpam-1597	527	1	to	to	PART
ejpam-1597	527	2	make	make	VERB
ejpam-1597	527	3	this	this	PRON
ejpam-1597	527	4	a	a	DET
ejpam-1597	527	5	truly	truly	ADV
ejpam-1597	527	6	misspecified	misspecifie	VERB
ejpam-1597	527	7	model	model	NOUN
ejpam-1597	527	8	,	,	PUNCT
ejpam-1597	527	9	we	we	PRON
ejpam-1597	527	10	generate	generate	VERB
ejpam-1597	527	11	the	the	DET
ejpam-1597	527	12	error	error	NOUN
ejpam-1597	527	13	terms	term	NOUN
ejpam-1597	527	14	from	from	ADP
ejpam-1597	527	15	the	the	DET
ejpam-1597	527	16	multivariate	multivariate	NOUN
ejpam-1597	527	17	power	power	NOUN
ejpam-1597	527	18	exponential	exponential	ADJ
ejpam-1597	527	19	distribution	distribution	NOUN
ejpam-1597	527	20	(	(	PUNCT
ejpam-1597	527	21	mpe	mpe	NOUN
ejpam-1597	527	22	)	)	PUNCT
ejpam-1597	527	23	.	.	PUNCT
ejpam-1597	528	1	from	from	ADP
ejpam-1597	528	2	[	[	X
ejpam-1597	528	3	16	16	NUM
ejpam-1597	528	4	]	]	PUNCT
ejpam-1597	528	5	,	,	PUNCT
ejpam-1597	528	6	the	the	DET
ejpam-1597	528	7	density	density	NOUN
ejpam-1597	528	8	function	function	VERB
ejpam-1597	528	9	for	for	ADP
ejpam-1597	528	10	the	the	DET
ejpam-1597	528	11	mpe	mpe	NOUN
ejpam-1597	528	12	is	be	AUX
ejpam-1597	528	13	shown	show	VERB
ejpam-1597	528	14	in	in	ADP
ejpam-1597	528	15	(	(	PUNCT
ejpam-1597	528	16	85	85	NUM
ejpam-1597	528	17	)	)	PUNCT
ejpam-1597	528	18	.	.	PUNCT
ejpam-1597	529	1	f	f	X
ejpam-1597	530	1	(	(	PUNCT
ejpam-1597	530	2	x	x	X
ejpam-1597	530	3	i	i	PRON
ejpam-1597	530	4	|	|	ADV
ejpam-1597	530	5	µ,σ	µ,σ	VERB
ejpam-1597	530	6	,	,	PUNCT
ejpam-1597	530	7	β	β	X
ejpam-1597	530	8	)	)	PUNCT
ejpam-1597	530	9	=	=	SYM
ejpam-1597	530	10	pγ	pγ	PROPN
ejpam-1597	530	11	(	(	PUNCT
ejpam-1597	530	12	p	p	NOUN
ejpam-1597	530	13	2	2	NUM
ejpam-1597	530	14	)	)	PUNCT
ejpam-1597	530	15	|σ|−	|σ|−	NOUN
ejpam-1597	530	16	1	1	NUM
ejpam-1597	530	17	2	2	NUM
ejpam-1597	530	18	2π	2π	NOUN
ejpam-1597	530	19	p	p	ADJ
ejpam-1597	530	20	2γ(1	2γ(1	NOUN
ejpam-1597	530	21	+	+	NOUN
ejpam-1597	530	22	p	p	NOUN
ejpam-1597	530	23	2β	2β	NOUN
ejpam-1597	530	24	)	)	PUNCT
ejpam-1597	530	25	2	2	NUM
ejpam-1597	530	26	1	1	NUM
ejpam-1597	530	27	+	+	NUM
ejpam-1597	530	28	p	p	PRON
ejpam-1597	530	29	2β	2β	NOUN
ejpam-1597	530	30	exp(−1	exp(−1	NUM
ejpam-1597	530	31	2	2	NUM
ejpam-1597	530	32	�	�	PROPN
ejpam-1597	530	33	(	(	PUNCT
ejpam-1597	530	34	x	x	X
ejpam-1597	530	35	i	i	PRON
ejpam-1597	530	36	−µ)σ−1(x	−µ)σ−1(x	VERB
ejpam-1597	530	37	i	i	PRON
ejpam-1597	530	38	−µ)′	−µ)′	NOUN
ejpam-1597	530	39	�	�	X
ejpam-1597	530	40	β	β	X
ejpam-1597	530	41	)	)	PUNCT
ejpam-1597	530	42	(	(	PUNCT
ejpam-1597	530	43	85	85	NUM
ejpam-1597	530	44	)	)	PUNCT
ejpam-1597	530	45	this	this	DET
ejpam-1597	530	46	distribution	distribution	NOUN
ejpam-1597	530	47	includes	include	VERB
ejpam-1597	530	48	others	other	NOUN
ejpam-1597	530	49	as	as	ADP
ejpam-1597	530	50	special	special	ADJ
ejpam-1597	530	51	cases	case	NOUN
ejpam-1597	530	52	:	:	PUNCT
ejpam-1597	530	53	•	•	ADP
ejpam-1597	530	54	when	when	SCONJ
ejpam-1597	530	55	β	β	X
ejpam-1597	530	56	=	=	SYM
ejpam-1597	530	57	1	1	NUM
ejpam-1597	530	58	,	,	PUNCT
ejpam-1597	530	59	we	we	PRON
ejpam-1597	530	60	have	have	VERB
ejpam-1597	530	61	the	the	DET
ejpam-1597	530	62	multivariate	multivariate	NOUN
ejpam-1597	530	63	gaussian	gaussian	NOUN
ejpam-1597	530	64	•	•	ADP
ejpam-1597	530	65	when	when	SCONJ
ejpam-1597	530	66	β	β	X
ejpam-1597	530	67	=	=	SYM
ejpam-1597	530	68	1/2	1/2	NUM
ejpam-1597	530	69	,	,	PUNCT
ejpam-1597	530	70	we	we	PRON
ejpam-1597	530	71	have	have	VERB
ejpam-1597	530	72	the	the	DET
ejpam-1597	530	73	multivariate	multivariate	NOUN
ejpam-1597	530	74	laplace	laplace	NOUN
ejpam-1597	530	75	•	•	ADP
ejpam-1597	530	76	when	when	SCONJ
ejpam-1597	530	77	β	β	X
ejpam-1597	530	78	→∞	→∞	PROPN
ejpam-1597	530	79	,	,	PUNCT
ejpam-1597	530	80	we	we	PRON
ejpam-1597	530	81	have	have	VERB
ejpam-1597	530	82	the	the	DET
ejpam-1597	530	83	multivariate	multivariate	NOUN
ejpam-1597	530	84	uniform	uniform	NOUN
ejpam-1597	530	85	we	we	PRON
ejpam-1597	530	86	generate	generate	VERB
ejpam-1597	530	87	the	the	DET
ejpam-1597	530	88	error	error	NOUN
ejpam-1597	530	89	terms	term	NOUN
ejpam-1597	530	90	two	two	NUM
ejpam-1597	530	91	different	different	ADJ
ejpam-1597	530	92	ways	way	NOUN
ejpam-1597	530	93	:	:	PUNCT
ejpam-1597	530	94	s1	s1	NOUN
ejpam-1597	530	95	:	:	PUNCT
ejpam-1597	530	96	µ	µ	X
ejpam-1597	530	97	=	=	PUNCT
ejpam-1597	531	1	[	[	X
ejpam-1597	531	2	0,0	0,0	NOUN
ejpam-1597	531	3	]	]	PUNCT
ejpam-1597	531	4	,	,	PUNCT
ejpam-1597	531	5	σ	σ	PROPN
ejpam-1597	531	6	=	=	SYM
ejpam-1597	531	7	�	�	PROPN
ejpam-1597	531	8	1	1	NUM
ejpam-1597	531	9	0.5	0.5	NUM
ejpam-1597	531	10	0.5	0.5	NUM
ejpam-1597	531	11	1	1	NUM
ejpam-1597	531	12	�	�	PROPN
ejpam-1597	531	13	,	,	PUNCT
ejpam-1597	531	14	β	β	NOUN
ejpam-1597	531	15	=	=	SYM
ejpam-1597	531	16	0.75	0.75	NUM
ejpam-1597	531	17	s2	s2	NOUN
ejpam-1597	531	18	:	:	PUNCT
ejpam-1597	531	19	µ	µ	X
ejpam-1597	531	20	=	=	PUNCT
ejpam-1597	531	21	[	[	X
ejpam-1597	531	22	0,0	0,0	NOUN
ejpam-1597	531	23	]	]	PUNCT
ejpam-1597	531	24	,	,	PUNCT
ejpam-1597	531	25	σ	σ	PROPN
ejpam-1597	531	26	=	=	SYM
ejpam-1597	531	27	�	�	PROPN
ejpam-1597	531	28	1	1	NUM
ejpam-1597	531	29	0	0	NUM
ejpam-1597	531	30	0	0	NUM
ejpam-1597	531	31	1	1	NUM
ejpam-1597	531	32	�	�	PROPN
ejpam-1597	531	33	,	,	PUNCT
ejpam-1597	531	34	λ	λ	X
ejpam-1597	531	35	=	=	PUNCT
ejpam-1597	532	1	[	[	X
ejpam-1597	532	2	2,−2	2,−2	X
ejpam-1597	532	3	]	]	X
ejpam-1597	532	4	in	in	ADP
ejpam-1597	532	5	simulation	simulation	PROPN
ejpam-1597	532	6	s2	s2	PROPN
ejpam-1597	532	7	,	,	PUNCT
ejpam-1597	532	8	the	the	DET
ejpam-1597	532	9	error	error	NOUN
ejpam-1597	532	10	terms	term	NOUN
ejpam-1597	532	11	matrix	matrix	NOUN
ejpam-1597	532	12	is	be	AUX
ejpam-1597	532	13	created	create	VERB
ejpam-1597	532	14	as	as	ADP
ejpam-1597	532	15	two	two	NUM
ejpam-1597	532	16	independent	independent	ADJ
ejpam-1597	532	17	columns	column	NOUN
ejpam-1597	532	18	of	of	ADP
ejpam-1597	532	19	skewed	skewed	ADJ
ejpam-1597	532	20	univariate	univariate	ADJ
ejpam-1597	532	21	power	power	NOUN
ejpam-1597	532	22	exponential	exponential	NOUN
ejpam-1597	532	23	distributions	distribution	NOUN
ejpam-1597	532	24	,	,	PUNCT
ejpam-1597	532	25	with	with	ADP
ejpam-1597	532	26	one	one	NUM
ejpam-1597	532	27	skewed	skewed	ADJ
ejpam-1597	532	28	right	right	NOUN
ejpam-1597	532	29	and	and	CCONJ
ejpam-1597	532	30	the	the	DET
ejpam-1597	532	31	other	other	ADJ
ejpam-1597	532	32	being	be	AUX
ejpam-1597	532	33	leftskewed	leftskewe	VERB
ejpam-1597	532	34	.	.	PUNCT
ejpam-1597	533	1	the	the	DET
ejpam-1597	533	2	skewness	skewness	NOUN
ejpam-1597	533	3	is	be	AUX
ejpam-1597	533	4	imparted	impart	VERB
ejpam-1597	533	5	utilizing	utilize	VERB
ejpam-1597	533	6	azzalini	azzalini	ADJ
ejpam-1597	533	7	-	-	PUNCT
ejpam-1597	533	8	type	type	NOUN
ejpam-1597	533	9	skew	skew	NOUN
ejpam-1597	533	10	,	,	PUNCT
ejpam-1597	533	11	with	with	SCONJ
ejpam-1597	533	12	the	the	DET
ejpam-1597	533	13	functional	functional	ADJ
ejpam-1597	533	14	form	form	NOUN
ejpam-1597	533	15	shown	show	VERB
ejpam-1597	533	16	in	in	ADP
ejpam-1597	533	17	(	(	PUNCT
ejpam-1597	533	18	86	86	NUM
ejpam-1597	533	19	)	)	PUNCT
ejpam-1597	533	20	see	see	VERB
ejpam-1597	534	1	[	[	X
ejpam-1597	534	2	2	2	NUM
ejpam-1597	534	3	]	]	PUNCT
ejpam-1597	534	4	.	.	PUNCT
ejpam-1597	535	1	figure	figure	NOUN
ejpam-1597	535	2	5	5	NUM
ejpam-1597	535	3	shows	show	VERB
ejpam-1597	535	4	two	two	NUM
ejpam-1597	535	5	examples	example	NOUN
ejpam-1597	535	6	.	.	PUNCT
ejpam-1597	536	1	g(x	g(x	NOUN
ejpam-1597	536	2	)	)	PUNCT
ejpam-1597	536	3	=	=	SYM
ejpam-1597	536	4	2	2	NUM
ejpam-1597	536	5	f	f	NOUN
ejpam-1597	536	6	(	(	PUNCT
ejpam-1597	536	7	x)f(λx)∼	x)f(λx)∼	PROPN
ejpam-1597	536	8	skew	skew	PROPN
ejpam-1597	536	9	(	(	PUNCT
ejpam-1597	536	10	f	f	PROPN
ejpam-1597	536	11	,	,	PUNCT
ejpam-1597	536	12	λ	λ	PROPN
ejpam-1597	536	13	)	)	PUNCT
ejpam-1597	536	14	(	(	PUNCT
ejpam-1597	536	15	86	86	NUM
ejpam-1597	536	16	)	)	PUNCT
ejpam-1597	536	17	−20	−20	NOUN
ejpam-1597	536	18	−10	−10	X
ejpam-1597	536	19	0	0	NUM
ejpam-1597	537	1	10	10	NUM
ejpam-1597	537	2	0	0	NUM
ejpam-1597	537	3	0.05	0.05	NUM
ejpam-1597	537	4	0.1	0.1	NUM
ejpam-1597	537	5	0.15	0.15	NUM
ejpam-1597	537	6	0.2	0.2	NUM
ejpam-1597	537	7	0.25	0.25	NUM
ejpam-1597	537	8	0.3	0.3	NUM
ejpam-1597	537	9	ε	ε	PROPN
ejpam-1597	537	10	1	1	NUM
ejpam-1597	537	11	,	,	PUNCT
ejpam-1597	537	12	λ	λ	NOUN
ejpam-1597	537	13	=	=	NOUN
ejpam-1597	537	14	2	2	NUM
ejpam-1597	537	15	−5	−5	NOUN
ejpam-1597	537	16	0	0	NUM
ejpam-1597	537	17	5	5	NUM
ejpam-1597	537	18	10	10	NUM
ejpam-1597	537	19	15	15	NUM
ejpam-1597	537	20	0	0	NUM
ejpam-1597	537	21	0.05	0.05	NUM
ejpam-1597	537	22	0.1	0.1	NUM
ejpam-1597	537	23	0.15	0.15	NUM
ejpam-1597	537	24	0.2	0.2	NUM
ejpam-1597	537	25	0.25	0.25	NUM
ejpam-1597	537	26	0.3	0.3	NUM
ejpam-1597	537	27	ε	ε	PROPN
ejpam-1597	537	28	2	2	NUM
ejpam-1597	537	29	,	,	PUNCT
ejpam-1597	537	30	λ	λ	X
ejpam-1597	537	31	=	=	SYM
ejpam-1597	537	32	−2	−2	NOUN
ejpam-1597	537	33	figure	figure	NOUN
ejpam-1597	537	34	5	5	NUM
ejpam-1597	537	35	:	:	PUNCT
ejpam-1597	537	36	demonstrating	demonstrate	VERB
ejpam-1597	537	37	the	the	DET
ejpam-1597	537	38	univariate	univariate	ADJ
ejpam-1597	537	39	azzalini	azzalini	ADJ
ejpam-1597	537	40	-	-	PUNCT
ejpam-1597	537	41	type	type	NOUN
ejpam-1597	537	42	skewed	skewed	ADJ
ejpam-1597	537	43	pe	pe	NOUN
ejpam-1597	537	44	.	.	PUNCT
ejpam-1597	538	1	for	for	ADP
ejpam-1597	538	2	our	our	PRON
ejpam-1597	538	3	first	first	ADJ
ejpam-1597	538	4	monte	monte	PROPN
ejpam-1597	538	5	carlo	carlo	PROPN
ejpam-1597	538	6	study	study	PROPN
ejpam-1597	538	7	,	,	PUNCT
ejpam-1597	538	8	we	we	PRON
ejpam-1597	538	9	let	let	VERB
ejpam-1597	538	10	β	β	X
ejpam-1597	538	11	=	=	PUNCT
ejpam-1597	538	12	0.75	0.75	NUM
ejpam-1597	538	13	and	and	CCONJ
ejpam-1597	538	14	ran	run	VERB
ejpam-1597	538	15	m	m	PROPN
ejpam-1597	538	16	=	=	SYM
ejpam-1597	538	17	500	500	NUM
ejpam-1597	538	18	trials	trial	NOUN
ejpam-1597	538	19	with	with	ADP
ejpam-1597	538	20	both	both	CCONJ
ejpam-1597	538	21	n=	n=	ADJ
ejpam-1597	538	22	500	500	NUM
ejpam-1597	538	23	and	and	CCONJ
ejpam-1597	538	24	n	n	CCONJ
ejpam-1597	538	25	=	=	SYM
ejpam-1597	538	26	1000	1000	NUM
ejpam-1597	538	27	.	.	PUNCT
ejpam-1597	539	1	the	the	DET
ejpam-1597	539	2	results	result	NOUN
ejpam-1597	539	3	are	be	AUX
ejpam-1597	539	4	summarized	summarize	VERB
ejpam-1597	539	5	in	in	ADP
ejpam-1597	539	6	tables	table	NOUN
ejpam-1597	539	7	2	2	NUM
ejpam-1597	539	8	and	and	CCONJ
ejpam-1597	539	9	3	3	NUM
ejpam-1597	539	10	.	.	NOUN
ejpam-1597	539	11	table	table	NOUN
ejpam-1597	539	12	2	2	NUM
ejpam-1597	539	13	summarizes	summarize	NOUN
ejpam-1597	539	14	reh	reh	NOUN
ejpam-1597	539	15	.	.	PUNCT
ejpam-1597	540	1	bozdogan	bozdogan	PROPN
ejpam-1597	540	2	,	,	PUNCT
ejpam-1597	540	3	j.	j.	PROPN
ejpam-1597	540	4	howe	howe	PROPN
ejpam-1597	540	5	/	/	SYM
ejpam-1597	540	6	eur	eur	PROPN
ejpam-1597	540	7	.	.	PUNCT
ejpam-1597	541	1	j.	j.	PROPN
ejpam-1597	541	2	pure	pure	PROPN
ejpam-1597	541	3	appl	appl	PROPN
ejpam-1597	541	4	.	.	PROPN
ejpam-1597	541	5	math	math	PROPN
ejpam-1597	541	6	,	,	PUNCT
ejpam-1597	541	7	5	5	NUM
ejpam-1597	541	8	(	(	PUNCT
ejpam-1597	541	9	2012	2012	NUM
ejpam-1597	541	10	)	)	PUNCT
ejpam-1597	541	11	,	,	PUNCT
ejpam-1597	541	12	211	211	NUM
ejpam-1597	541	13	-	-	SYM
ejpam-1597	541	14	249	249	NUM
ejpam-1597	541	15	235table	235table	PROPN
ejpam-1597	541	16	2	2	NUM
ejpam-1597	541	17	:	:	PUNCT
ejpam-1597	541	18	abbreviated	abbreviate	VERB
ejpam-1597	541	19	%	%	NOUN
ejpam-1597	541	20	model	model	NOUN
ejpam-1597	541	21	hits	hit	VERB
ejpam-1597	541	22	out	out	ADP
ejpam-1597	541	23	of	of	ADP
ejpam-1597	541	24	m	m	PROPN
ejpam-1597	541	25	=	=	NOUN
ejpam-1597	541	26	500	500	NUM
ejpam-1597	541	27	simulations	simulation	NOUN
ejpam-1597	541	28	of	of	ADP
ejpam-1597	541	29	s1	s1	NOUN
ejpam-1597	541	30	with	with	ADP
ejpam-1597	541	31	n=	n=	ADJ
ejpam-1597	541	32	500	500	NUM
ejpam-1597	541	33	.	.	PUNCT
ejpam-1597	542	1	criteria	criterion	NOUN
ejpam-1597	542	2	true	true	ADJ
ejpam-1597	542	3	model	model	NOUN
ejpam-1597	542	4	kl	kl	PROPN
ejpam-1597	542	5	distance	distance	NOUN
ejpam-1597	542	6	100.0	100.0	NUM
ejpam-1597	542	7	aic	aic	PROPN
ejpam-1597	542	8	/	/	SYM
ejpam-1597	542	9	gaic	gaic	PROPN
ejpam-1597	542	10	74.8	74.8	NUM
ejpam-1597	542	11	sbc	sbc	NOUN
ejpam-1597	542	12	72.8	72.8	NUM
ejpam-1597	542	13	icom	icom	PROPN
ejpam-1597	542	14	p(f̂−1	p(f̂−1	NOUN
ejpam-1597	542	15	)	)	PUNCT
ejpam-1597	542	16	72.4	72.4	NUM
ejpam-1597	542	17	icom	icom	PROPN
ejpam-1597	542	18	ppeu(f̂−1	ppeu(f̂−1	NOUN
ejpam-1597	542	19	)	)	PUNCT
ejpam-1597	542	20	73.4	73.4	NUM
ejpam-1597	542	21	icom	icom	NOUN
ejpam-1597	542	22	pm	pm	VERB
ejpam-1597	542	23	isp	isp	ADV
ejpam-1597	542	24	(	(	PUNCT
ejpam-1597	542	25	ôcov(θ̂	ôcov(θ̂	NUM
ejpam-1597	542	26	)	)	PUNCT
ejpam-1597	542	27	)	)	PUNCT
ejpam-1597	543	1	85.8	85.8	NUM
ejpam-1597	543	2	icom	icom	PROPN
ejpam-1597	543	3	pm	pm	PROPN
ejpam-1597	543	4	isp_peu(ôcov(θ̂	isp_peu(ôcov(θ̂	NOUN
ejpam-1597	543	5	)	)	PUNCT
ejpam-1597	543	6	)	)	PUNCT
ejpam-1597	544	1	82.6table	82.6table	NUM
ejpam-1597	544	2	3	3	NUM
ejpam-1597	544	3	:	:	PUNCT
ejpam-1597	544	4	%	%	NOUN
ejpam-1597	544	5	model	model	NOUN
ejpam-1597	544	6	hits	hit	VERB
ejpam-1597	544	7	out	out	ADP
ejpam-1597	544	8	of	of	ADP
ejpam-1597	544	9	m	m	PROPN
ejpam-1597	544	10	=	=	NOUN
ejpam-1597	544	11	500	500	NUM
ejpam-1597	544	12	simulations	simulation	NOUN
ejpam-1597	544	13	of	of	ADP
ejpam-1597	544	14	s1	s1	NOUN
ejpam-1597	544	15	with	with	ADP
ejpam-1597	544	16	n	n	NOUN
ejpam-1597	544	17	=	=	SYM
ejpam-1597	544	18	1000	1000	NUM
ejpam-1597	544	19	.	.	PUNCT
ejpam-1597	545	1	subset	subset	VERB
ejpam-1597	545	2	aic	aic	PROPN
ejpam-1597	545	3	/	/	SYM
ejpam-1597	545	4	gaic	gaic	PROPN
ejpam-1597	545	5	sbc	sbc	PROPN
ejpam-1597	545	6	icom	icom	PROPN
ejpam-1597	545	7	p(f̂−1)/peu	p(f̂−1)/peu	PROPN
ejpam-1597	545	8	icom	icom	PROPN
ejpam-1597	545	9	pm	pm	VERB
ejpam-1597	545	10	isp(ôcov(θ̂))/peu	isp(ôcov(θ̂))/peu	X
ejpam-1597	545	11	{	{	PUNCT
ejpam-1597	545	12	0,1,2,3,4,5	0,1,2,3,4,5	NUM
ejpam-1597	545	13	}	}	NUM
ejpam-1597	545	14	1.6	1.6	NUM
ejpam-1597	545	15	0.0	0.0	NUM
ejpam-1597	546	1	0.0/0.0	0.0/0.0	NOUN
ejpam-1597	546	2	0.0/0.0	0.0/0.0	NOUN
ejpam-1597	546	3	{	{	PUNCT
ejpam-1597	546	4	1,2,3,4,5	1,2,3,4,5	NUM
ejpam-1597	546	5	}	}	PUNCT
ejpam-1597	546	6	0.0	0.0	NUM
ejpam-1597	546	7	0.0	0.0	NUM
ejpam-1597	546	8	0.4/0.2	0.4/0.2	NUM
ejpam-1597	546	9	0.0/0.0	0.0/0.0	NUM
ejpam-1597	546	10	{	{	PUNCT
ejpam-1597	546	11	0,1,3,4,5	0,1,3,4,5	NOUN
ejpam-1597	546	12	}	}	PUNCT
ejpam-1597	546	13	0.2	0.2	NUM
ejpam-1597	546	14	0.0	0.0	NUM
ejpam-1597	546	15	0.0/0.0	0.0/0.0	NUM
ejpam-1597	546	16	0.0/0.0	0.0/0.0	NOUN
ejpam-1597	546	17	{	{	PUNCT
ejpam-1597	546	18	0,1,2,3,5	0,1,2,3,5	NOUN
ejpam-1597	546	19	}	}	PUNCT
ejpam-1597	546	20	11.0	11.0	NUM
ejpam-1597	546	21	0.2	0.2	NUM
ejpam-1597	546	22	1.2/0.4	1.2/0.4	NUM
ejpam-1597	546	23	2.0/0.8	2.0/0.8	NUM
ejpam-1597	546	24	{	{	PUNCT
ejpam-1597	546	25	0,1,2,3,4	0,1,2,3,4	NUM
ejpam-1597	546	26	}	}	PUNCT
ejpam-1597	546	27	12.2	12.2	NUM
ejpam-1597	546	28	0.0	0.0	NUM
ejpam-1597	546	29	0.0/0.0	0.0/0.0	NUM
ejpam-1597	546	30	1.2/0.8	1.2/0.8	NUM
ejpam-1597	546	31	{	{	PUNCT
ejpam-1597	546	32	0,1,3,5	0,1,3,5	X
ejpam-1597	546	33	}	}	PUNCT
ejpam-1597	546	34	0.0	0.0	NUM
ejpam-1597	546	35	0.4	0.4	NUM
ejpam-1597	546	36	0.2/0.2	0.2/0.2	NUM
ejpam-1597	546	37	0.4/0.4	0.4/0.4	PUNCT
ejpam-1597	546	38	{	{	PUNCT
ejpam-1597	546	39	0,1,2,3	0,1,2,3	NUM
ejpam-1597	546	40	}	}	SYM
ejpam-1597	546	41	75.0	75.0	NUM
ejpam-1597	546	42	98.2	98.2	NUM
ejpam-1597	546	43	98.2/99.2	98.2/99.2	NOUN
ejpam-1597	546	44	96.2/97.6	96.2/97.6	NOUN
ejpam-1597	546	45	{	{	PUNCT
ejpam-1597	546	46	0,1,2	0,1,2	NUM
ejpam-1597	546	47	}	}	PUNCT
ejpam-1597	546	48	0.0	0.0	NUM
ejpam-1597	546	49	1.2	1.2	NUM
ejpam-1597	546	50	0.0/0.0	0.0/0.0	NUM
ejpam-1597	546	51	0.2/0.4	0.2/0.4	NUM
ejpam-1597	546	52	sults	sult	NOUN
ejpam-1597	546	53	from	from	ADP
ejpam-1597	546	54	the	the	DET
ejpam-1597	546	55	experiment	experiment	NOUN
ejpam-1597	546	56	with	with	ADP
ejpam-1597	546	57	n=	n=	ADJ
ejpam-1597	546	58	500	500	NUM
ejpam-1597	546	59	observations	observation	NOUN
ejpam-1597	546	60	generated	generate	VERB
ejpam-1597	546	61	from	from	ADP
ejpam-1597	546	62	the	the	DET
ejpam-1597	546	63	simulation	simulation	NOUN
ejpam-1597	546	64	protocol	protocol	NOUN
ejpam-1597	546	65	.	.	PUNCT
ejpam-1597	547	1	there	there	PRON
ejpam-1597	547	2	are	be	VERB
ejpam-1597	547	3	,	,	PUNCT
ejpam-1597	547	4	of	of	ADP
ejpam-1597	547	5	course	course	NOUN
ejpam-1597	547	6	,	,	PUNCT
ejpam-1597	547	7	26−1=	26−1=	NUM
ejpam-1597	547	8	63	63	NUM
ejpam-1597	547	9	possible	possible	ADJ
ejpam-1597	547	10	subsets	subset	NOUN
ejpam-1597	547	11	of	of	ADP
ejpam-1597	547	12	the	the	DET
ejpam-1597	547	13	covariates	covariate	NOUN
ejpam-1597	547	14	;	;	PUNCT
ejpam-1597	547	15	not	not	PART
ejpam-1597	547	16	counting	count	VERB
ejpam-1597	547	17	subsets	subset	NOUN
ejpam-1597	547	18	never	never	ADV
ejpam-1597	547	19	selected	select	VERB
ejpam-1597	547	20	,	,	PUNCT
ejpam-1597	547	21	there	there	PRON
ejpam-1597	547	22	were	be	VERB
ejpam-1597	547	23	too	too	ADV
ejpam-1597	547	24	many	many	ADJ
ejpam-1597	547	25	to	to	PART
ejpam-1597	547	26	show	show	VERB
ejpam-1597	547	27	in	in	ADP
ejpam-1597	547	28	detail	detail	NOUN
ejpam-1597	547	29	here	here	ADV
ejpam-1597	547	30	.	.	PUNCT
ejpam-1597	548	1	as	as	ADP
ejpam-1597	548	2	such	such	ADJ
ejpam-1597	548	3	,	,	PUNCT
ejpam-1597	548	4	we	we	PRON
ejpam-1597	548	5	’re	’re	AUX
ejpam-1597	548	6	reporting	report	VERB
ejpam-1597	548	7	the	the	DET
ejpam-1597	548	8	percent	percent	NOUN
ejpam-1597	548	9	of	of	ADP
ejpam-1597	548	10	simulations	simulation	NOUN
ejpam-1597	548	11	in	in	ADP
ejpam-1597	548	12	which	which	PRON
ejpam-1597	548	13	the	the	DET
ejpam-1597	548	14	criteria	criterion	NOUN
ejpam-1597	548	15	selected	select	VERB
ejpam-1597	548	16	exactly	exactly	ADV
ejpam-1597	548	17	the	the	DET
ejpam-1597	548	18	true	true	ADJ
ejpam-1597	548	19	model	model	NOUN
ejpam-1597	548	20	x	x	NOUN
ejpam-1597	548	21	∗	∗	NOUN
ejpam-1597	548	22	=	=	PUNCT
ejpam-1597	548	23	�	�	PROPN
ejpam-1597	548	24	x0	x0	PROPN
ejpam-1597	548	25	,	,	PUNCT
ejpam-1597	548	26	x1	x1	PROPN
ejpam-1597	548	27	,	,	PUNCT
ejpam-1597	548	28	x2	x2	PROPN
ejpam-1597	548	29	,	,	PUNCT
ejpam-1597	548	30	x3	x3	PROPN
ejpam-1597	548	31	�	�	PROPN
ejpam-1597	548	32	.	.	PUNCT
ejpam-1597	549	1	it	it	PRON
ejpam-1597	549	2	is	be	AUX
ejpam-1597	549	3	interesting	interesting	ADJ
ejpam-1597	549	4	to	to	PART
ejpam-1597	549	5	note	note	VERB
ejpam-1597	549	6	that	that	SCONJ
ejpam-1597	549	7	aic	aic	PROPN
ejpam-1597	549	8	and	and	CCONJ
ejpam-1597	549	9	gaic	gaic	PROPN
ejpam-1597	549	10	performed	perform	VERB
ejpam-1597	549	11	identically	identically	ADV
ejpam-1597	549	12	.	.	PUNCT
ejpam-1597	550	1	we	we	PRON
ejpam-1597	550	2	also	also	ADV
ejpam-1597	550	3	see	see	VERB
ejpam-1597	550	4	that	that	SCONJ
ejpam-1597	550	5	aic	aic	PROPN
ejpam-1597	550	6	seems	seem	VERB
ejpam-1597	550	7	more	more	ADV
ejpam-1597	550	8	appropriate	appropriate	ADJ
ejpam-1597	550	9	for	for	ADP
ejpam-1597	550	10	smaller	small	ADJ
ejpam-1597	550	11	samples	sample	NOUN
ejpam-1597	550	12	.	.	PUNCT
ejpam-1597	551	1	icom	icom	PROPN
ejpam-1597	551	2	pm	pm	VERB
ejpam-1597	551	3	isp	isp	ADV
ejpam-1597	551	4	(	(	PUNCT
ejpam-1597	551	5	ôcov(θ̂	ôcov(θ̂	NUM
ejpam-1597	551	6	)	)	PUNCT
ejpam-1597	551	7	)	)	PUNCT
ejpam-1597	551	8	performed	perform	VERB
ejpam-1597	551	9	well	well	ADV
ejpam-1597	551	10	,	,	PUNCT
ejpam-1597	551	11	only	only	ADV
ejpam-1597	551	12	selecting	select	VERB
ejpam-1597	551	13	a	a	DET
ejpam-1597	551	14	model	model	NOUN
ejpam-1597	551	15	that	that	PRON
ejpam-1597	551	16	did	do	AUX
ejpam-1597	551	17	not	not	PART
ejpam-1597	551	18	include	include	VERB
ejpam-1597	551	19	the	the	DET
ejpam-1597	551	20	true	true	ADJ
ejpam-1597	551	21	model	model	NOUN
ejpam-1597	551	22	in	in	ADP
ejpam-1597	551	23	11	11	NUM
ejpam-1597	551	24	%	%	NOUN
ejpam-1597	551	25	trials	trial	NOUN
ejpam-1597	551	26	.	.	PUNCT
ejpam-1597	552	1	the	the	DET
ejpam-1597	552	2	misspecified	misspecifie	VERB
ejpam-1597	552	3	icom	icom	PROPN
ejpam-1597	552	4	ps	ps	PROPN
ejpam-1597	552	5	hit	hit	VERB
ejpam-1597	552	6	the	the	DET
ejpam-1597	552	7	true	true	ADJ
ejpam-1597	552	8	model	model	NOUN
ejpam-1597	552	9	with	with	ADP
ejpam-1597	552	10	the	the	DET
ejpam-1597	552	11	highest	high	ADJ
ejpam-1597	552	12	frequency	frequency	NOUN
ejpam-1597	552	13	of	of	ADP
ejpam-1597	552	14	all	all	DET
ejpam-1597	552	15	the	the	DET
ejpam-1597	552	16	criteria	criterion	NOUN
ejpam-1597	552	17	.	.	PUNCT
ejpam-1597	553	1	next	next	ADV
ejpam-1597	553	2	we	we	PRON
ejpam-1597	553	3	have	have	VERB
ejpam-1597	553	4	the	the	DET
ejpam-1597	553	5	results	result	NOUN
ejpam-1597	553	6	from	from	ADP
ejpam-1597	553	7	the	the	DET
ejpam-1597	553	8	experiment	experiment	NOUN
ejpam-1597	553	9	with	with	ADP
ejpam-1597	553	10	n	n	NOUN
ejpam-1597	553	11	=	=	SYM
ejpam-1597	553	12	1000	1000	NUM
ejpam-1597	553	13	observations	observation	NOUN
ejpam-1597	553	14	in	in	ADP
ejpam-1597	553	15	table	table	NOUN
ejpam-1597	553	16	3	3	NUM
ejpam-1597	553	17	.	.	PUNCT
ejpam-1597	554	1	as	as	SCONJ
ejpam-1597	554	2	can	can	AUX
ejpam-1597	554	3	be	be	AUX
ejpam-1597	554	4	seen	see	VERB
ejpam-1597	554	5	,	,	PUNCT
ejpam-1597	554	6	the	the	DET
ejpam-1597	554	7	rates	rate	NOUN
ejpam-1597	554	8	at	at	ADP
ejpam-1597	554	9	which	which	PRON
ejpam-1597	554	10	all	all	DET
ejpam-1597	554	11	forms	form	NOUN
ejpam-1597	554	12	of	of	ADP
ejpam-1597	554	13	icom	icom	PROPN
ejpam-1597	554	14	p	p	PROPN
ejpam-1597	554	15	selected	select	VERB
ejpam-1597	554	16	exactly	exactly	ADV
ejpam-1597	554	17	the	the	DET
ejpam-1597	554	18	true	true	ADJ
ejpam-1597	554	19	model	model	NOUN
ejpam-1597	554	20	improved	improve	VERB
ejpam-1597	554	21	dramatically	dramatically	ADV
ejpam-1597	554	22	,	,	PUNCT
ejpam-1597	554	23	as	as	ADV
ejpam-1597	554	24	good	good	ADJ
ejpam-1597	554	25	as	as	ADP
ejpam-1597	554	26	99.2	99.2	NUM
ejpam-1597	554	27	%	%	NOUN
ejpam-1597	554	28	for	for	ADP
ejpam-1597	554	29	icom	icom	PROPN
ejpam-1597	554	30	ppeu(f̂−1	ppeu(f̂−1	PROPN
ejpam-1597	554	31	)	)	PUNCT
ejpam-1597	554	32	.	.	PUNCT
ejpam-1597	555	1	in	in	ADP
ejpam-1597	555	2	this	this	DET
ejpam-1597	555	3	table	table	NOUN
ejpam-1597	555	4	,	,	PUNCT
ejpam-1597	555	5	only	only	ADV
ejpam-1597	555	6	subsets	subset	NOUN
ejpam-1597	555	7	that	that	PRON
ejpam-1597	555	8	had	have	VERB
ejpam-1597	555	9	any	any	DET
ejpam-1597	555	10	hits	hit	NOUN
ejpam-1597	555	11	at	at	ADP
ejpam-1597	555	12	all	all	ADV
ejpam-1597	555	13	are	be	AUX
ejpam-1597	555	14	included	include	VERB
ejpam-1597	555	15	,	,	PUNCT
ejpam-1597	555	16	in	in	ADP
ejpam-1597	555	17	the	the	DET
ejpam-1597	555	18	interest	interest	NOUN
ejpam-1597	555	19	of	of	ADP
ejpam-1597	555	20	space	space	NOUN
ejpam-1597	555	21	.	.	PUNCT
ejpam-1597	556	1	it	it	PRON
ejpam-1597	556	2	seems	seem	VERB
ejpam-1597	556	3	that	that	SCONJ
ejpam-1597	556	4	,	,	PUNCT
ejpam-1597	556	5	with	with	ADP
ejpam-1597	556	6	a	a	DET
ejpam-1597	556	7	large	large	ADJ
ejpam-1597	556	8	enough	enough	ADJ
ejpam-1597	556	9	sample	sample	NOUN
ejpam-1597	556	10	,	,	PUNCT
ejpam-1597	556	11	icom	icom	PROPN
ejpam-1597	556	12	p(f̂−1	p(f̂−1	PROPN
ejpam-1597	556	13	)	)	PUNCT
ejpam-1597	556	14	is	be	AUX
ejpam-1597	556	15	robust	robust	ADJ
ejpam-1597	556	16	to	to	ADP
ejpam-1597	556	17	a	a	DET
ejpam-1597	556	18	degree	degree	NOUN
ejpam-1597	556	19	of	of	ADP
ejpam-1597	556	20	misspecification	misspecification	NOUN
ejpam-1597	556	21	.	.	PUNCT
ejpam-1597	557	1	sbc	sbc	NOUN
ejpam-1597	557	2	also	also	ADV
ejpam-1597	557	3	demonstrated	demonstrate	VERB
ejpam-1597	557	4	a	a	DET
ejpam-1597	557	5	dramatic	dramatic	ADJ
ejpam-1597	557	6	improvement	improvement	NOUN
ejpam-1597	557	7	;	;	PUNCT
ejpam-1597	557	8	though	though	SCONJ
ejpam-1597	557	9	it	it	PRON
ejpam-1597	557	10	is	be	AUX
ejpam-1597	557	11	considered	consider	VERB
ejpam-1597	557	12	to	to	PART
ejpam-1597	557	13	be	be	AUX
ejpam-1597	557	14	a	a	DET
ejpam-1597	557	15	“	"	PUNCT
ejpam-1597	557	16	consistent	consistent	ADJ
ejpam-1597	557	17	”	"	PUNCT
ejpam-1597	557	18	criteria	criterion	NOUN
ejpam-1597	557	19	,	,	PUNCT
ejpam-1597	557	20	this	this	DET
ejpam-1597	557	21	quality	quality	NOUN
ejpam-1597	557	22	seems	seem	VERB
ejpam-1597	557	23	to	to	PART
ejpam-1597	557	24	be	be	AUX
ejpam-1597	557	25	somewhat	somewhat	ADV
ejpam-1597	557	26	lacking	lacking	ADJ
ejpam-1597	557	27	when	when	SCONJ
ejpam-1597	557	28	the	the	DET
ejpam-1597	557	29	functional	functional	ADJ
ejpam-1597	557	30	form	form	NOUN
ejpam-1597	557	31	of	of	ADP
ejpam-1597	557	32	the	the	DET
ejpam-1597	557	33	regression	regression	NOUN
ejpam-1597	557	34	model	model	NOUN
ejpam-1597	557	35	is	be	AUX
ejpam-1597	557	36	not	not	PART
ejpam-1597	557	37	correctly	correctly	ADV
ejpam-1597	557	38	specified	specify	VERB
ejpam-1597	557	39	.	.	PUNCT
ejpam-1597	558	1	it	it	PRON
ejpam-1597	558	2	is	be	AUX
ejpam-1597	558	3	interesting	interesting	ADJ
ejpam-1597	558	4	to	to	PART
ejpam-1597	558	5	note	note	VERB
ejpam-1597	558	6	that	that	SCONJ
ejpam-1597	558	7	the	the	DET
ejpam-1597	558	8	hit	hit	NOUN
ejpam-1597	558	9	percentages	percentage	NOUN
ejpam-1597	558	10	for	for	ADP
ejpam-1597	558	11	aic	aic	PROPN
ejpam-1597	558	12	and	and	CCONJ
ejpam-1597	558	13	gaic	gaic	PROPN
ejpam-1597	558	14	did	do	AUX
ejpam-1597	558	15	not	not	PART
ejpam-1597	558	16	improve	improve	VERB
ejpam-1597	558	17	much	much	ADV
ejpam-1597	558	18	at	at	ADV
ejpam-1597	558	19	all	all	ADV
ejpam-1597	558	20	,	,	PUNCT
ejpam-1597	558	21	rising	rise	VERB
ejpam-1597	558	22	slightly	slightly	ADV
ejpam-1597	558	23	to	to	ADP
ejpam-1597	558	24	75.0	75.0	NUM
ejpam-1597	558	25	%	%	NOUN
ejpam-1597	558	26	.	.	PUNCT
ejpam-1597	559	1	as	as	ADP
ejpam-1597	559	2	with	with	ADP
ejpam-1597	559	3	the	the	DET
ejpam-1597	559	4	smaller	small	ADJ
ejpam-1597	559	5	sample	sample	NOUN
ejpam-1597	559	6	size	size	NOUN
ejpam-1597	559	7	,	,	PUNCT
ejpam-1597	559	8	the	the	DET
ejpam-1597	559	9	kl	kl	PROPN
ejpam-1597	559	10	distance	distance	NOUN
ejpam-1597	559	11	selected	select	VERB
ejpam-1597	559	12	the	the	DET
ejpam-1597	559	13	true	true	ADJ
ejpam-1597	559	14	model	model	NOUN
ejpam-1597	559	15	100.0	100.0	NUM
ejpam-1597	559	16	%	%	NOUN
ejpam-1597	559	17	of	of	ADP
ejpam-1597	559	18	the	the	DET
ejpam-1597	559	19	time	time	NOUN
ejpam-1597	559	20	.	.	PUNCT
ejpam-1597	560	1	h.	h.	PROPN
ejpam-1597	560	2	bozdogan	bozdogan	PROPN
ejpam-1597	560	3	,	,	PUNCT
ejpam-1597	560	4	j.	j.	PROPN
ejpam-1597	560	5	howe	howe	PROPN
ejpam-1597	560	6	/	/	SYM
ejpam-1597	560	7	eur	eur	PROPN
ejpam-1597	560	8	.	.	PUNCT
ejpam-1597	561	1	j.	j.	PROPN
ejpam-1597	561	2	pure	pure	PROPN
ejpam-1597	561	3	appl	appl	PROPN
ejpam-1597	561	4	.	.	PROPN
ejpam-1597	561	5	math	math	PROPN
ejpam-1597	561	6	,	,	PUNCT
ejpam-1597	561	7	5	5	NUM
ejpam-1597	561	8	(	(	PUNCT
ejpam-1597	561	9	2012	2012	NUM
ejpam-1597	561	10	)	)	PUNCT
ejpam-1597	561	11	,	,	PUNCT
ejpam-1597	561	12	211	211	NUM
ejpam-1597	561	13	-	-	SYM
ejpam-1597	561	14	249	249	NUM
ejpam-1597	561	15	236table	236table	ADJ
ejpam-1597	561	16	4	4	NUM
ejpam-1597	561	17	:	:	PUNCT
ejpam-1597	561	18	abbreviated	abbreviate	VERB
ejpam-1597	561	19	%	%	NOUN
ejpam-1597	561	20	model	model	NOUN
ejpam-1597	561	21	hits	hit	VERB
ejpam-1597	561	22	out	out	ADP
ejpam-1597	561	23	of	of	ADP
ejpam-1597	561	24	m	m	PROPN
ejpam-1597	561	25	=	=	NOUN
ejpam-1597	561	26	500	500	NUM
ejpam-1597	561	27	simulations	simulation	NOUN
ejpam-1597	561	28	of	of	ADP
ejpam-1597	561	29	s2	s2	PROPN
ejpam-1597	561	30	.	.	PUNCT
ejpam-1597	562	1	criteria	criteria	PROPN
ejpam-1597	562	2	true	true	ADJ
ejpam-1597	562	3	model	model	PROPN
ejpam-1597	562	4	n=	n=	ADJ
ejpam-1597	562	5	500	500	NUM
ejpam-1597	562	6	n=	n=	ADJ
ejpam-1597	562	7	1000	1000	NUM
ejpam-1597	562	8	kl	kl	NOUN
ejpam-1597	562	9	distance	distance	NOUN
ejpam-1597	562	10	57.2	57.2	NUM
ejpam-1597	562	11	67.6	67.6	NUM
ejpam-1597	562	12	aic	aic	PROPN
ejpam-1597	562	13	/	/	SYM
ejpam-1597	562	14	gaic	gaic	PROPN
ejpam-1597	562	15	64.6	64.6	NUM
ejpam-1597	562	16	73.0	73.0	NUM
ejpam-1597	562	17	sbc	sbc	NOUN
ejpam-1597	562	18	29.6	29.6	NUM
ejpam-1597	562	19	86.8	86.8	NUM
ejpam-1597	562	20	icom	icom	PROPN
ejpam-1597	562	21	p(f̂−1	p(f̂−1	PROPN
ejpam-1597	562	22	)	)	PUNCT
ejpam-1597	562	23	58.0	58.0	NUM
ejpam-1597	562	24	93.0	93.0	NUM
ejpam-1597	562	25	icom	icom	PROPN
ejpam-1597	562	26	ppeu(f̂−1	ppeu(f̂−1	NOUN
ejpam-1597	562	27	)	)	PUNCT
ejpam-1597	562	28	53.2	53.2	NUM
ejpam-1597	562	29	93.6	93.6	NUM
ejpam-1597	562	30	icom	icom	NOUN
ejpam-1597	562	31	pm	pm	VERB
ejpam-1597	562	32	isp	isp	ADV
ejpam-1597	562	33	(	(	PUNCT
ejpam-1597	562	34	ôcov(θ̂	ôcov(θ̂	NUM
ejpam-1597	562	35	)	)	PUNCT
ejpam-1597	562	36	)	)	PUNCT
ejpam-1597	562	37	59.0	59.0	NUM
ejpam-1597	562	38	91.8	91.8	NUM
ejpam-1597	562	39	icom	icom	PROPN
ejpam-1597	562	40	pm	pm	PROPN
ejpam-1597	562	41	isp_peu(ôcov(θ̂	isp_peu(ôcov(θ̂	NOUN
ejpam-1597	562	42	)	)	PUNCT
ejpam-1597	562	43	)	)	PUNCT
ejpam-1597	563	1	46.0	46.0	NUM
ejpam-1597	563	2	90.2	90.2	NUM
ejpam-1597	563	3	next	next	ADV
ejpam-1597	563	4	,	,	PUNCT
ejpam-1597	563	5	we	we	PRON
ejpam-1597	563	6	performed	perform	VERB
ejpam-1597	563	7	to	to	ADP
ejpam-1597	563	8	sets	set	NOUN
ejpam-1597	563	9	of	of	ADP
ejpam-1597	563	10	simulation	simulation	NOUN
ejpam-1597	563	11	experiments	experiment	NOUN
ejpam-1597	563	12	with	with	ADP
ejpam-1597	563	13	the	the	DET
ejpam-1597	563	14	s2	s2	NOUN
ejpam-1597	563	15	model	model	NOUN
ejpam-1597	563	16	for	for	ADP
ejpam-1597	563	17	n=	n=	ADJ
ejpam-1597	563	18	500	500	NUM
ejpam-1597	563	19	and	and	CCONJ
ejpam-1597	563	20	n	n	NOUN
ejpam-1597	563	21	=	=	SYM
ejpam-1597	563	22	1000	1000	NUM
ejpam-1597	563	23	.	.	PUNCT
ejpam-1597	564	1	in	in	ADP
ejpam-1597	564	2	the	the	DET
ejpam-1597	564	3	presence	presence	NOUN
ejpam-1597	564	4	of	of	ADP
ejpam-1597	564	5	asymmetry	asymmetry	NOUN
ejpam-1597	564	6	there	there	PRON
ejpam-1597	564	7	was	be	VERB
ejpam-1597	564	8	a	a	DET
ejpam-1597	564	9	lot	lot	NOUN
ejpam-1597	564	10	more	more	ADJ
ejpam-1597	564	11	confusion	confusion	NOUN
ejpam-1597	564	12	,	,	PUNCT
ejpam-1597	564	13	with	with	ADP
ejpam-1597	564	14	38	38	NUM
ejpam-1597	564	15	different	different	ADJ
ejpam-1597	564	16	models	model	NOUN
ejpam-1597	564	17	being	be	AUX
ejpam-1597	564	18	selected	select	VERB
ejpam-1597	564	19	by	by	ADP
ejpam-1597	564	20	different	different	ADJ
ejpam-1597	564	21	criteria	criterion	NOUN
ejpam-1597	564	22	.	.	PUNCT
ejpam-1597	565	1	table	table	NOUN
ejpam-1597	565	2	4	4	NUM
ejpam-1597	565	3	summarizes	summarize	NOUN
ejpam-1597	565	4	the	the	DET
ejpam-1597	565	5	results	result	NOUN
ejpam-1597	565	6	.	.	PUNCT
ejpam-1597	566	1	in	in	ADP
ejpam-1597	566	2	the	the	DET
ejpam-1597	566	3	presence	presence	NOUN
ejpam-1597	566	4	of	of	ADP
ejpam-1597	566	5	skewness	skewness	NOUN
ejpam-1597	566	6	,	,	PUNCT
ejpam-1597	566	7	aic	aic	PROPN
ejpam-1597	566	8	and	and	CCONJ
ejpam-1597	566	9	gaic	gaic	PROPN
ejpam-1597	566	10	performed	perform	VERB
ejpam-1597	566	11	admirably	admirably	ADV
ejpam-1597	566	12	in	in	ADP
ejpam-1597	566	13	the	the	DET
ejpam-1597	566	14	tests	test	NOUN
ejpam-1597	566	15	with	with	ADP
ejpam-1597	566	16	the	the	DET
ejpam-1597	566	17	smaller	small	ADJ
ejpam-1597	566	18	sample	sample	NOUN
ejpam-1597	566	19	size	size	NOUN
ejpam-1597	566	20	,	,	PUNCT
ejpam-1597	566	21	while	while	SCONJ
ejpam-1597	566	22	sbc	sbc	PROPN
ejpam-1597	566	23	did	do	VERB
ejpam-1597	566	24	not	not	PART
ejpam-1597	566	25	.	.	PUNCT
ejpam-1597	567	1	the	the	DET
ejpam-1597	567	2	icom	icom	PROPN
ejpam-1597	567	3	p	p	PROPN
ejpam-1597	567	4	criteria	criterion	NOUN
ejpam-1597	567	5	performed	perform	VERB
ejpam-1597	567	6	very	very	ADV
ejpam-1597	567	7	well	well	ADV
ejpam-1597	567	8	,	,	PUNCT
ejpam-1597	567	9	especially	especially	ADV
ejpam-1597	567	10	with	with	ADP
ejpam-1597	567	11	the	the	DET
ejpam-1597	567	12	larger	large	ADJ
ejpam-1597	567	13	sample	sample	NOUN
ejpam-1597	567	14	sizes	size	NOUN
ejpam-1597	567	15	.	.	PUNCT
ejpam-1597	568	1	icom	icom	PROPN
ejpam-1597	568	2	pm	pm	VERB
ejpam-1597	568	3	isp	isp	ADV
ejpam-1597	568	4	(	(	PUNCT
ejpam-1597	568	5	ôcov(θ̂	ôcov(θ̂	NUM
ejpam-1597	568	6	)	)	PUNCT
ejpam-1597	568	7	)	)	PUNCT
ejpam-1597	568	8	proved	prove	VERB
ejpam-1597	568	9	better	well	ADV
ejpam-1597	568	10	than	than	ADP
ejpam-1597	568	11	even	even	ADV
ejpam-1597	568	12	the	the	DET
ejpam-1597	568	13	kl	kl	PROPN
ejpam-1597	568	14	distance	distance	NOUN
ejpam-1597	568	15	at	at	ADP
ejpam-1597	568	16	both	both	PRON
ejpam-1597	568	17	selecting	select	VERB
ejpam-1597	568	18	the	the	DET
ejpam-1597	568	19	true	true	ADJ
ejpam-1597	568	20	model	model	NOUN
ejpam-1597	568	21	,	,	PUNCT
ejpam-1597	568	22	and	and	CCONJ
ejpam-1597	568	23	a	a	DET
ejpam-1597	568	24	model	model	NOUN
ejpam-1597	568	25	that	that	PRON
ejpam-1597	568	26	included	include	VERB
ejpam-1597	568	27	the	the	DET
ejpam-1597	568	28	truth	truth	NOUN
ejpam-1597	568	29	.	.	PUNCT
ejpam-1597	569	1	the	the	DET
ejpam-1597	569	2	kl	kl	PROPN
ejpam-1597	569	3	distance	distance	NOUN
ejpam-1597	569	4	performed	perform	VERB
ejpam-1597	569	5	much	much	ADV
ejpam-1597	569	6	worse	bad	ADJ
ejpam-1597	569	7	than	than	SCONJ
ejpam-1597	569	8	it	it	PRON
ejpam-1597	569	9	did	do	VERB
ejpam-1597	569	10	when	when	SCONJ
ejpam-1597	569	11	the	the	DET
ejpam-1597	569	12	errors	error	NOUN
ejpam-1597	569	13	were	be	AUX
ejpam-1597	569	14	generated	generate	VERB
ejpam-1597	569	15	symmetrically	symmetrically	ADV
ejpam-1597	569	16	.	.	PUNCT
ejpam-1597	570	1	we	we	PRON
ejpam-1597	570	2	also	also	ADV
ejpam-1597	570	3	note	note	VERB
ejpam-1597	570	4	that	that	SCONJ
ejpam-1597	570	5	,	,	PUNCT
ejpam-1597	570	6	like	like	ADP
ejpam-1597	570	7	the	the	DET
ejpam-1597	570	8	s1	s1	PROPN
ejpam-1597	570	9	simulation	simulation	PROPN
ejpam-1597	570	10	,	,	PUNCT
ejpam-1597	570	11	icom	icom	PROPN
ejpam-1597	570	12	p(f̂−1	p(f̂−1	PROPN
ejpam-1597	570	13	)	)	PUNCT
ejpam-1597	570	14	is	be	AUX
ejpam-1597	570	15	robust	robust	ADJ
ejpam-1597	570	16	against	against	ADP
ejpam-1597	570	17	a	a	DET
ejpam-1597	570	18	high	high	ADJ
ejpam-1597	570	19	degree	degree	NOUN
ejpam-1597	570	20	of	of	ADP
ejpam-1597	570	21	skewness	skewness	NOUN
ejpam-1597	570	22	,	,	PUNCT
ejpam-1597	570	23	with	with	ADP
ejpam-1597	570	24	performance	performance	NOUN
ejpam-1597	570	25	similar	similar	ADJ
ejpam-1597	570	26	to	to	ADP
ejpam-1597	570	27	the	the	DET
ejpam-1597	570	28	misspecified	misspecifie	VERB
ejpam-1597	570	29	form	form	NOUN
ejpam-1597	570	30	of	of	ADP
ejpam-1597	570	31	icom	icom	PROPN
ejpam-1597	570	32	p.	p.	PROPN
ejpam-1597	570	33	in	in	ADP
ejpam-1597	570	34	summary	summary	NOUN
ejpam-1597	570	35	,	,	PUNCT
ejpam-1597	570	36	we	we	PRON
ejpam-1597	570	37	observe	observe	VERB
ejpam-1597	570	38	that	that	SCONJ
ejpam-1597	570	39	in	in	ADP
ejpam-1597	570	40	all	all	DET
ejpam-1597	570	41	experiments	experiment	NOUN
ejpam-1597	570	42	,	,	PUNCT
ejpam-1597	570	43	aic	aic	PROPN
ejpam-1597	570	44	and	and	CCONJ
ejpam-1597	570	45	gaic	gaic	PROPN
ejpam-1597	570	46	performed	perform	VERB
ejpam-1597	570	47	identically	identically	ADV
ejpam-1597	570	48	.	.	PUNCT
ejpam-1597	571	1	this	this	PRON
ejpam-1597	571	2	suggests	suggest	VERB
ejpam-1597	571	3	that	that	SCONJ
ejpam-1597	571	4	considering	consider	VERB
ejpam-1597	571	5	just	just	ADV
ejpam-1597	571	6	estimated	estimate	VERB
ejpam-1597	571	7	bias	bias	NOUN
ejpam-1597	571	8	does	do	AUX
ejpam-1597	571	9	not	not	PART
ejpam-1597	571	10	provide	provide	VERB
ejpam-1597	571	11	much	much	ADJ
ejpam-1597	571	12	benefit	benefit	NOUN
ejpam-1597	571	13	.	.	PUNCT
ejpam-1597	572	1	effectively	effectively	ADV
ejpam-1597	572	2	adjusting	adjust	VERB
ejpam-1597	572	3	for	for	ADP
ejpam-1597	572	4	model	model	NOUN
ejpam-1597	572	5	misspecification	misspecification	NOUN
ejpam-1597	572	6	seems	seem	VERB
ejpam-1597	572	7	to	to	PART
ejpam-1597	572	8	require	require	VERB
ejpam-1597	572	9	the	the	DET
ejpam-1597	572	10	entire	entire	ADJ
ejpam-1597	572	11	sandwich	sandwich	NOUN
ejpam-1597	572	12	covariance	covariance	NOUN
ejpam-1597	572	13	matrix	matrix	NOUN
ejpam-1597	572	14	.	.	PUNCT
ejpam-1597	573	1	7.2	7.2	NUM
ejpam-1597	573	2	.	.	PUNCT
ejpam-1597	573	3	simulation	simulation	NOUN
ejpam-1597	573	4	with	with	ADP
ejpam-1597	573	5	redundant	redundant	ADJ
ejpam-1597	573	6	and	and	CCONJ
ejpam-1597	573	7	unnecessary	unnecessary	ADJ
ejpam-1597	573	8	variables	variable	NOUN
ejpam-1597	573	9	this	this	DET
ejpam-1597	573	10	simulation	simulation	NOUN
ejpam-1597	573	11	protocol	protocol	NOUN
ejpam-1597	573	12	,	,	PUNCT
ejpam-1597	573	13	with	with	ADP
ejpam-1597	573	14	the	the	DET
ejpam-1597	573	15	multicollinearity	multicollinearity	NOUN
ejpam-1597	573	16	and	and	CCONJ
ejpam-1597	573	17	non	non	ADJ
ejpam-1597	573	18	-	-	ADJ
ejpam-1597	573	19	gaussian	gaussian	ADJ
ejpam-1597	573	20	errors	error	NOUN
ejpam-1597	573	21	,	,	PUNCT
ejpam-1597	573	22	is	be	AUX
ejpam-1597	573	23	a	a	DET
ejpam-1597	573	24	decent	decent	ADJ
ejpam-1597	573	25	test	test	NOUN
ejpam-1597	573	26	of	of	ADP
ejpam-1597	573	27	the	the	DET
ejpam-1597	573	28	performance	performance	NOUN
ejpam-1597	573	29	of	of	ADP
ejpam-1597	573	30	information	information	NOUN
ejpam-1597	573	31	criteria	criterion	NOUN
ejpam-1597	573	32	in	in	ADP
ejpam-1597	573	33	the	the	DET
ejpam-1597	573	34	presence	presence	NOUN
ejpam-1597	573	35	of	of	ADP
ejpam-1597	573	36	misspecification	misspecification	NOUN
ejpam-1597	573	37	,	,	PUNCT
ejpam-1597	573	38	but	but	CCONJ
ejpam-1597	573	39	we	we	PRON
ejpam-1597	573	40	can	can	AUX
ejpam-1597	573	41	do	do	VERB
ejpam-1597	573	42	better	well	ADV
ejpam-1597	573	43	.	.	PUNCT
ejpam-1597	574	1	thus	thus	ADV
ejpam-1597	574	2	,	,	PUNCT
ejpam-1597	574	3	we	we	PRON
ejpam-1597	574	4	add	add	VERB
ejpam-1597	574	5	15	15	NUM
ejpam-1597	574	6	unrelated	unrelated	ADJ
ejpam-1597	574	7	variables	variable	NOUN
ejpam-1597	574	8	to	to	ADP
ejpam-1597	574	9	our	our	PRON
ejpam-1597	574	10	matrix	matrix	NOUN
ejpam-1597	574	11	of	of	ADP
ejpam-1597	574	12	regressors	regressor	NOUN
ejpam-1597	574	13	,	,	PUNCT
ejpam-1597	574	14	such	such	ADJ
ejpam-1597	574	15	that	that	SCONJ
ejpam-1597	574	16	x	x	SYM
ejpam-1597	574	17	∈	∈	NOUN
ejpam-1597	574	18	rn×21	rn×21	NOUN
ejpam-1597	574	19	=	=	PROPN
ejpam-1597	574	20	�	�	PROPN
ejpam-1597	574	21	x0	x0	PROPN
ejpam-1597	574	22	,	,	PUNCT
ejpam-1597	574	23	x1	x1	PROPN
ejpam-1597	574	24	,	,	PUNCT
ejpam-1597	574	25	x2	x2	PROPN
ejpam-1597	574	26	,	,	PUNCT
ejpam-1597	574	27	x3	x3	PROPN
ejpam-1597	574	28	,	,	PUNCT
ejpam-1597	574	29	x4	x4	PROPN
ejpam-1597	574	30	,	,	PUNCT
ejpam-1597	574	31	x5	x5	PROPN
ejpam-1597	574	32	,	,	PUNCT
ejpam-1597	574	33	�	�	PROPN
ejpam-1597	574	34	x	x	PUNCT
ejpam-1597	574	35	i	i	PRON
ejpam-1597	574	36	∼	∼	VERB
ejpam-1597	574	37	u(0	u(0	PROPN
ejpam-1597	574	38	,	,	PUNCT
ejpam-1597	574	39	i	i	PROPN
ejpam-1597	574	40	)	)	PUNCT
ejpam-1597	575	1	|	|	ADV
ejpam-1597	575	2	i	i	PRON
ejpam-1597	575	3	=	=	NOUN
ejpam-1597	575	4	6	6	NUM
ejpam-1597	575	5	.	.	PUNCT
ejpam-1597	575	6	.	.	PUNCT
ejpam-1597	575	7	.	.	PUNCT
ejpam-1597	576	1	20	20	NUM
ejpam-1597	576	2	�	�	PROPN
ejpam-1597	576	3	.	.	PUNCT
ejpam-1597	577	1	under	under	ADP
ejpam-1597	577	2	this	this	DET
ejpam-1597	577	3	extended	extend	VERB
ejpam-1597	577	4	simulation	simulation	NOUN
ejpam-1597	577	5	protocol	protocol	NOUN
ejpam-1597	577	6	,	,	PUNCT
ejpam-1597	577	7	we	we	PRON
ejpam-1597	577	8	have	have	VERB
ejpam-1597	577	9	221	221	NUM
ejpam-1597	577	10	−	−	NOUN
ejpam-1597	577	11	1	1	NUM
ejpam-1597	577	12	=	=	SYM
ejpam-1597	577	13	2,097,151	2,097,151	NUM
ejpam-1597	577	14	different	different	ADJ
ejpam-1597	577	15	possible	possible	ADJ
ejpam-1597	577	16	models	model	NOUN
ejpam-1597	577	17	to	to	PART
ejpam-1597	577	18	evaluate	evaluate	VERB
ejpam-1597	577	19	,	,	PUNCT
ejpam-1597	577	20	and	and	CCONJ
ejpam-1597	577	21	the	the	DET
ejpam-1597	577	22	true	true	ADJ
ejpam-1597	577	23	model	model	NOUN
ejpam-1597	577	24	is	be	AUX
ejpam-1597	577	25	still	still	ADV
ejpam-1597	577	26	x	x	X
ejpam-1597	577	27	∗	∗	NOUN
ejpam-1597	577	28	=	=	PUNCT
ejpam-1597	577	29	�	�	PROPN
ejpam-1597	577	30	x0	x0	PROPN
ejpam-1597	577	31	,	,	PUNCT
ejpam-1597	577	32	x1	x1	PROPN
ejpam-1597	577	33	,	,	PUNCT
ejpam-1597	577	34	x2	x2	PROPN
ejpam-1597	577	35	,	,	PUNCT
ejpam-1597	577	36	x3	x3	PROPN
ejpam-1597	577	37	�	�	PROPN
ejpam-1597	577	38	.	.	PUNCT
ejpam-1597	578	1	this	this	PRON
ejpam-1597	578	2	is	be	AUX
ejpam-1597	578	3	a	a	DET
ejpam-1597	578	4	very	very	ADV
ejpam-1597	578	5	difficult	difficult	ADJ
ejpam-1597	578	6	problem	problem	NOUN
ejpam-1597	578	7	for	for	SCONJ
ejpam-1597	578	8	any	any	DET
ejpam-1597	578	9	criteria	criterion	NOUN
ejpam-1597	578	10	to	to	PART
ejpam-1597	578	11	perform	perform	VERB
ejpam-1597	578	12	well	well	ADV
ejpam-1597	578	13	under	under	ADV
ejpam-1597	578	14	.	.	PUNCT
ejpam-1597	579	1	we	we	PRON
ejpam-1597	579	2	use	use	VERB
ejpam-1597	579	3	the	the	DET
ejpam-1597	579	4	genetic	genetic	ADJ
ejpam-1597	579	5	algorithm	algorithm	NOUN
ejpam-1597	579	6	to	to	PART
ejpam-1597	579	7	search	search	VERB
ejpam-1597	579	8	the	the	DET
ejpam-1597	579	9	subset	subset	NOUN
ejpam-1597	579	10	space	space	NOUN
ejpam-1597	579	11	with	with	ADP
ejpam-1597	579	12	the	the	DET
ejpam-1597	579	13	settings	setting	NOUN
ejpam-1597	579	14	:	:	PUNCT
ejpam-1597	579	15	population	population	NOUN
ejpam-1597	579	16	size	size	NOUN
ejpam-1597	579	17	=	=	SYM
ejpam-1597	579	18	30	30	NUM
ejpam-1597	579	19	,	,	PUNCT
ejpam-1597	579	20	number	number	NOUN
ejpam-1597	579	21	generations	generation	NOUN
ejpam-1597	579	22	=	=	SYM
ejpam-1597	579	23	60	60	NUM
ejpam-1597	579	24	,	,	PUNCT
ejpam-1597	579	25	crossover	crossover	VERB
ejpam-1597	579	26	rate	rate	NOUN
ejpam-1597	579	27	=	=	SYM
ejpam-1597	579	28	0.75	0.75	NUM
ejpam-1597	579	29	,	,	PUNCT
ejpam-1597	579	30	mutation	mutation	NOUN
ejpam-1597	579	31	rate	rate	NOUN
ejpam-1597	579	32	=	=	NOUN
ejpam-1597	579	33	0.10	0.10	NUM
ejpam-1597	579	34	.	.	PUNCT
ejpam-1597	580	1	the	the	DET
ejpam-1597	580	2	four	four	NUM
ejpam-1597	580	3	monte	monte	PROPN
ejpam-1597	580	4	carlo	carlo	PROPN
ejpam-1597	580	5	simulation	simulation	NOUN
ejpam-1597	580	6	experiments	experiment	NOUN
ejpam-1597	580	7	from	from	ADP
ejpam-1597	580	8	the	the	DET
ejpam-1597	580	9	previous	previous	ADJ
ejpam-1597	580	10	section	section	NOUN
ejpam-1597	580	11	,	,	PUNCT
ejpam-1597	580	12	all	all	PRON
ejpam-1597	580	13	with	with	ADP
ejpam-1597	580	14	m	m	PROPN
ejpam-1597	580	15	=	=	SYM
ejpam-1597	580	16	100	100	NUM
ejpam-1597	580	17	,	,	PUNCT
ejpam-1597	580	18	were	be	AUX
ejpam-1597	580	19	performed	perform	VERB
ejpam-1597	580	20	.	.	PUNCT
ejpam-1597	581	1	for	for	ADP
ejpam-1597	581	2	β	β	X
ejpam-1597	581	3	=	=	SYM
ejpam-1597	581	4	0.75	0.75	NUM
ejpam-1597	581	5	,	,	PUNCT
ejpam-1597	581	6	as	as	SCONJ
ejpam-1597	581	7	can	can	AUX
ejpam-1597	581	8	be	be	AUX
ejpam-1597	581	9	seen	see	VERB
ejpam-1597	581	10	in	in	ADP
ejpam-1597	581	11	table	table	NOUN
ejpam-1597	581	12	5	5	NUM
ejpam-1597	581	13	the	the	DET
ejpam-1597	581	14	kl	kl	PROPN
ejpam-1597	581	15	distance	distance	NOUN
ejpam-1597	581	16	,	,	PUNCT
ejpam-1597	581	17	assuming	assume	VERB
ejpam-1597	581	18	normality	normality	NOUN
ejpam-1597	581	19	,	,	PUNCT
ejpam-1597	581	20	gave	give	VERB
ejpam-1597	581	21	up	up	ADP
ejpam-1597	581	22	its	its	PRON
ejpam-1597	581	23	h.	h.	NOUN
ejpam-1597	581	24	bozdogan	bozdogan	PROPN
ejpam-1597	581	25	,	,	PUNCT
ejpam-1597	581	26	j.	j.	PROPN
ejpam-1597	581	27	howe	howe	PROPN
ejpam-1597	581	28	/	/	SYM
ejpam-1597	581	29	eur	eur	PROPN
ejpam-1597	581	30	.	.	PUNCT
ejpam-1597	582	1	j.	j.	PROPN
ejpam-1597	582	2	pure	pure	PROPN
ejpam-1597	582	3	appl	appl	PROPN
ejpam-1597	582	4	.	.	PROPN
ejpam-1597	582	5	math	math	PROPN
ejpam-1597	582	6	,	,	PUNCT
ejpam-1597	582	7	5	5	NUM
ejpam-1597	582	8	(	(	PUNCT
ejpam-1597	582	9	2012	2012	NUM
ejpam-1597	582	10	)	)	PUNCT
ejpam-1597	582	11	,	,	PUNCT
ejpam-1597	582	12	211	211	NUM
ejpam-1597	582	13	-	-	SYM
ejpam-1597	582	14	249	249	NUM
ejpam-1597	582	15	237table	237table	NUM
ejpam-1597	582	16	5	5	NUM
ejpam-1597	582	17	:	:	PUNCT
ejpam-1597	582	18	model	model	NOUN
ejpam-1597	582	19	sele	sele	PROPN
ejpam-1597	582	20	tion	tion	PROPN
ejpam-1597	582	21	statisti	statisti	PROPN
ejpam-1597	582	22	s	s	PART
ejpam-1597	582	23	from	from	ADP
ejpam-1597	582	24	extended	extend	VERB
ejpam-1597	582	25	s1	s1	NOUN
ejpam-1597	582	26	simulations	simulation	NOUN
ejpam-1597	582	27	.	.	PUNCT
ejpam-1597	583	1	criteria	criterion	NOUN
ejpam-1597	583	2	n	n	PRON
ejpam-1597	583	3	model	model	NOUN
ejpam-1597	583	4	selected	select	VERB
ejpam-1597	583	5	true	true	ADJ
ejpam-1597	583	6	model	model	NOUN
ejpam-1597	583	7	avg	avg	PROPN
ejpam-1597	583	8	length	length	PROPN
ejpam-1597	583	9	kl	kl	PROPN
ejpam-1597	583	10	distance	distance	NOUN
ejpam-1597	583	11	500	500	NUM
ejpam-1597	583	12	{	{	PUNCT
ejpam-1597	583	13	0,1,2,3	0,1,2,3	NOUN
ejpam-1597	583	14	}	}	PUNCT
ejpam-1597	583	15	86.0	86.0	NUM
ejpam-1597	583	16	4	4	NUM
ejpam-1597	583	17	1000	1000	NUM
ejpam-1597	583	18	{	{	PUNCT
ejpam-1597	583	19	0,1,2,3	0,1,2,3	NOUN
ejpam-1597	583	20	}	}	PUNCT
ejpam-1597	583	21	92.0	92.0	NUM
ejpam-1597	583	22	4	4	NUM
ejpam-1597	583	23	aic	aic	PROPN
ejpam-1597	583	24	500	500	NUM
ejpam-1597	583	25	{	{	PUNCT
ejpam-1597	583	26	0,1,2,3,6,10,12,19	0,1,2,3,6,10,12,19	NOUN
ejpam-1597	583	27	}	}	NUM
ejpam-1597	583	28	6.0	6.0	NUM
ejpam-1597	583	29	7	7	NUM
ejpam-1597	583	30	1000	1000	NUM
ejpam-1597	583	31	{	{	PUNCT
ejpam-1597	583	32	0,1,2,3,6,12,14,15	0,1,2,3,6,12,14,15	PROPN
ejpam-1597	583	33	}	}	PUNCT
ejpam-1597	583	34	4.0	4.0	NUM
ejpam-1597	583	35	6	6	NUM
ejpam-1597	583	36	sbc	sbc	NOUN
ejpam-1597	583	37	500	500	NUM
ejpam-1597	583	38	{	{	PUNCT
ejpam-1597	583	39	0,1,2	0,1,2	NOUN
ejpam-1597	583	40	}	}	PUNCT
ejpam-1597	583	41	54.0	54.0	NUM
ejpam-1597	583	42	4	4	NUM
ejpam-1597	583	43	1000	1000	NUM
ejpam-1597	583	44	{	{	PUNCT
ejpam-1597	583	45	0,1,2,3	0,1,2,3	NOUN
ejpam-1597	583	46	}	}	SYM
ejpam-1597	583	47	94.0	94.0	NUM
ejpam-1597	583	48	4	4	NUM
ejpam-1597	583	49	gaic	gaic	ADJ
ejpam-1597	583	50	500	500	NUM
ejpam-1597	583	51	{	{	PUNCT
ejpam-1597	583	52	0,1,2,3,5,16,17	0,1,2,3,5,16,17	NOUN
ejpam-1597	583	53	}	}	PUNCT
ejpam-1597	583	54	7.0	7.0	NUM
ejpam-1597	583	55	7	7	NUM
ejpam-1597	583	56	1000	1000	NUM
ejpam-1597	583	57	{	{	PUNCT
ejpam-1597	583	58	0,1,2,3,15	0,1,2,3,15	NOUN
ejpam-1597	583	59	}	}	PUNCT
ejpam-1597	583	60	4.0	4.0	NUM
ejpam-1597	583	61	6	6	NUM
ejpam-1597	583	62	icom	icom	PROPN
ejpam-1597	583	63	p	p	PROPN
ejpam-1597	583	64	500	500	NUM
ejpam-1597	583	65	{	{	PUNCT
ejpam-1597	583	66	1,2,3,4	1,2,3,4	NUM
ejpam-1597	583	67	}	}	NUM
ejpam-1597	583	68	11.0	11.0	NUM
ejpam-1597	583	69	7	7	NUM
ejpam-1597	583	70	1000	1000	NUM
ejpam-1597	583	71	{	{	PUNCT
ejpam-1597	583	72	1−	1−	NUM
ejpam-1597	583	73	8,10,14,17,18	8,10,14,17,18	NUM
ejpam-1597	583	74	}	}	PUNCT
ejpam-1597	583	75	63.0	63.0	NUM
ejpam-1597	583	76	5	5	NUM
ejpam-1597	583	77	icom	icom	X
ejpam-1597	583	78	ppeu	ppeu	VERB
ejpam-1597	583	79	500	500	NUM
ejpam-1597	583	80	{	{	PUNCT
ejpam-1597	583	81	1,4,5	1,4,5	NUM
ejpam-1597	583	82	}	}	SYM
ejpam-1597	583	83	20.0	20.0	NUM
ejpam-1597	583	84	5	5	NUM
ejpam-1597	583	85	1000	1000	NUM
ejpam-1597	583	86	{	{	PUNCT
ejpam-1597	583	87	0,1,2,3	0,1,2,3	NOUN
ejpam-1597	583	88	}	}	SYM
ejpam-1597	583	89	70.0	70.0	NUM
ejpam-1597	583	90	5	5	NUM
ejpam-1597	583	91	icom	icom	NOUN
ejpam-1597	583	92	pm	pm	VERB
ejpam-1597	583	93	isp	isp	ADV
ejpam-1597	583	94	500	500	NUM
ejpam-1597	583	95	{	{	PUNCT
ejpam-1597	583	96	0,1,2,3	0,1,2,3	NOUN
ejpam-1597	583	97	}	}	PUNCT
ejpam-1597	583	98	77.0	77.0	NUM
ejpam-1597	583	99	4	4	NUM
ejpam-1597	583	100	1000	1000	NUM
ejpam-1597	583	101	{	{	PUNCT
ejpam-1597	583	102	0,1,2,3	0,1,2,3	NOUN
ejpam-1597	583	103	}	}	NUM
ejpam-1597	583	104	89.0	89.0	NUM
ejpam-1597	583	105	4	4	NUM
ejpam-1597	583	106	icom	icom	PROPN
ejpam-1597	583	107	pm	pm	NOUN
ejpam-1597	583	108	isp_peu	isp_peu	PROPN
ejpam-1597	583	109	500	500	NUM
ejpam-1597	583	110	{	{	PUNCT
ejpam-1597	583	111	0,1,2,3	0,1,2,3	NOUN
ejpam-1597	583	112	}	}	NUM
ejpam-1597	583	113	75.0	75.0	NUM
ejpam-1597	583	114	4	4	NUM
ejpam-1597	583	115	1000	1000	NUM
ejpam-1597	583	116	{	{	PUNCT
ejpam-1597	583	117	0,1,2,3	0,1,2,3	NOUN
ejpam-1597	583	118	}	}	SYM
ejpam-1597	583	119	93.0	93.0	NUM
ejpam-1597	583	120	4	4	NUM
ejpam-1597	583	121	perfect	perfect	ADJ
ejpam-1597	583	122	track	track	NOUN
ejpam-1597	583	123	record	record	NOUN
ejpam-1597	583	124	at	at	ADP
ejpam-1597	583	125	best	good	ADJ
ejpam-1597	583	126	selecting	select	VERB
ejpam-1597	583	127	the	the	DET
ejpam-1597	583	128	true	true	ADJ
ejpam-1597	583	129	model	model	NOUN
ejpam-1597	583	130	in	in	ADP
ejpam-1597	583	131	92	92	NUM
ejpam-1597	583	132	%	%	NOUN
ejpam-1597	583	133	of	of	ADP
ejpam-1597	583	134	the	the	DET
ejpam-1597	583	135	trials	trial	NOUN
ejpam-1597	583	136	.	.	PUNCT
ejpam-1597	584	1	with	with	ADP
ejpam-1597	584	2	more	more	ADJ
ejpam-1597	584	3	information	information	NOUN
ejpam-1597	584	4	in	in	ADP
ejpam-1597	584	5	the	the	DET
ejpam-1597	584	6	tails	tail	NOUN
ejpam-1597	584	7	,	,	PUNCT
ejpam-1597	584	8	the	the	DET
ejpam-1597	584	9	misspecified	misspecifie	VERB
ejpam-1597	584	10	icom	icom	PROPN
ejpam-1597	584	11	p	p	PROPN
ejpam-1597	584	12	criteria	criterion	NOUN
ejpam-1597	584	13	performed	perform	VERB
ejpam-1597	584	14	well	well	ADV
ejpam-1597	584	15	regardless	regardless	ADV
ejpam-1597	584	16	of	of	ADP
ejpam-1597	584	17	the	the	DET
ejpam-1597	584	18	sample	sample	NOUN
ejpam-1597	584	19	size	size	NOUN
ejpam-1597	584	20	.	.	PUNCT
ejpam-1597	585	1	in	in	ADP
ejpam-1597	585	2	fact	fact	NOUN
ejpam-1597	585	3	,	,	PUNCT
ejpam-1597	585	4	minimization	minimization	NOUN
ejpam-1597	585	5	of	of	ADP
ejpam-1597	585	6	both	both	DET
ejpam-1597	585	7	criteria	criterion	NOUN
ejpam-1597	585	8	across	across	ADP
ejpam-1597	585	9	all	all	DET
ejpam-1597	585	10	simulations	simulation	NOUN
ejpam-1597	585	11	selected	select	VERB
ejpam-1597	585	12	x	x	X
ejpam-1597	585	13	∗	∗	NOUN
ejpam-1597	585	14	=	=	PUNCT
ejpam-1597	585	15	�	�	PROPN
ejpam-1597	585	16	x0	x0	PROPN
ejpam-1597	585	17	,	,	PUNCT
ejpam-1597	585	18	x1	x1	PROPN
ejpam-1597	585	19	,	,	PUNCT
ejpam-1597	585	20	x2	x2	PROPN
ejpam-1597	585	21	,	,	PUNCT
ejpam-1597	585	22	x3	x3	PROPN
ejpam-1597	585	23	�	�	PROPN
ejpam-1597	585	24	as	as	ADP
ejpam-1597	585	25	the	the	DET
ejpam-1597	585	26	best	good	ADJ
ejpam-1597	585	27	model	model	NOUN
ejpam-1597	585	28	the	the	DET
ejpam-1597	585	29	peu	peu	PROPN
ejpam-1597	585	30	version	version	NOUN
ejpam-1597	585	31	did	do	VERB
ejpam-1597	585	32	very	very	ADV
ejpam-1597	585	33	well	well	ADV
ejpam-1597	585	34	,	,	PUNCT
ejpam-1597	585	35	hitting	hit	VERB
ejpam-1597	585	36	the	the	DET
ejpam-1597	585	37	true	true	ADJ
ejpam-1597	585	38	model	model	NOUN
ejpam-1597	585	39	in	in	ADP
ejpam-1597	585	40	93	93	NUM
ejpam-1597	585	41	of	of	ADP
ejpam-1597	585	42	the	the	DET
ejpam-1597	585	43	100	100	NUM
ejpam-1597	585	44	simulations	simulation	NOUN
ejpam-1597	585	45	for	for	ADP
ejpam-1597	585	46	the	the	DET
ejpam-1597	585	47	larger	large	ADJ
ejpam-1597	585	48	sample	sample	NOUN
ejpam-1597	585	49	size	size	NOUN
ejpam-1597	585	50	.	.	PUNCT
ejpam-1597	586	1	over	over	ADP
ejpam-1597	586	2	all	all	DET
ejpam-1597	586	3	simulations	simulation	NOUN
ejpam-1597	586	4	,	,	PUNCT
ejpam-1597	586	5	these	these	DET
ejpam-1597	586	6	two	two	NUM
ejpam-1597	586	7	criteria	criterion	NOUN
ejpam-1597	586	8	and	and	CCONJ
ejpam-1597	586	9	sbc	sbc	NOUN
ejpam-1597	586	10	selected	select	VERB
ejpam-1597	586	11	models	model	NOUN
ejpam-1597	586	12	,	,	PUNCT
ejpam-1597	586	13	on	on	ADP
ejpam-1597	586	14	average	average	ADJ
ejpam-1597	586	15	,	,	PUNCT
ejpam-1597	586	16	with	with	ADP
ejpam-1597	586	17	4	4	NUM
ejpam-1597	586	18	regressors	regressor	NOUN
ejpam-1597	586	19	there	there	PRON
ejpam-1597	586	20	was	be	VERB
ejpam-1597	586	21	no	no	DET
ejpam-1597	586	22	substantial	substantial	ADJ
ejpam-1597	586	23	tendency	tendency	NOUN
ejpam-1597	586	24	to	to	PART
ejpam-1597	586	25	overfit	overfit	VERB
ejpam-1597	586	26	.	.	PUNCT
ejpam-1597	587	1	once	once	ADV
ejpam-1597	587	2	again	again	ADV
ejpam-1597	587	3	,	,	PUNCT
ejpam-1597	587	4	though	though	ADV
ejpam-1597	587	5	,	,	PUNCT
ejpam-1597	587	6	we	we	PRON
ejpam-1597	587	7	see	see	VERB
ejpam-1597	587	8	the	the	DET
ejpam-1597	587	9	inconsistent	inconsistent	ADJ
ejpam-1597	587	10	behavior	behavior	NOUN
ejpam-1597	587	11	of	of	ADP
ejpam-1597	587	12	sbc	sbc	NOUN
ejpam-1597	587	13	,	,	PUNCT
ejpam-1597	587	14	only	only	ADV
ejpam-1597	587	15	doing	do	VERB
ejpam-1597	587	16	really	really	ADV
ejpam-1597	587	17	well	well	ADV
ejpam-1597	587	18	with	with	ADP
ejpam-1597	587	19	the	the	DET
ejpam-1597	587	20	large	large	ADJ
ejpam-1597	587	21	sample	sample	NOUN
ejpam-1597	587	22	.	.	PUNCT
ejpam-1597	588	1	both	both	CCONJ
ejpam-1597	588	2	aic	aic	PROPN
ejpam-1597	588	3	and	and	CCONJ
ejpam-1597	588	4	gaic	gaic	PROPN
ejpam-1597	588	5	performed	perform	VERB
ejpam-1597	588	6	extremely	extremely	ADV
ejpam-1597	588	7	poorly	poorly	ADV
ejpam-1597	588	8	,	,	PUNCT
ejpam-1597	588	9	both	both	PRON
ejpam-1597	588	10	tending	tend	VERB
ejpam-1597	588	11	to	to	PART
ejpam-1597	588	12	pick	pick	VERB
ejpam-1597	588	13	models	model	NOUN
ejpam-1597	588	14	with	with	ADP
ejpam-1597	588	15	2	2	NUM
ejpam-1597	588	16	or	or	CCONJ
ejpam-1597	588	17	3	3	NUM
ejpam-1597	588	18	extra	extra	ADJ
ejpam-1597	588	19	predictor	predictor	NOUN
ejpam-1597	588	20	variables	variable	NOUN
ejpam-1597	588	21	.	.	PUNCT
ejpam-1597	589	1	to	to	ADP
ejpam-1597	589	2	their	their	PRON
ejpam-1597	589	3	credit	credit	NOUN
ejpam-1597	589	4	,	,	PUNCT
ejpam-1597	589	5	they	they	PRON
ejpam-1597	589	6	also	also	ADV
ejpam-1597	589	7	displayed	display	VERB
ejpam-1597	589	8	a	a	DET
ejpam-1597	589	9	strong	strong	ADJ
ejpam-1597	589	10	tendency	tendency	NOUN
ejpam-1597	589	11	to	to	PART
ejpam-1597	589	12	pick	pick	VERB
ejpam-1597	589	13	models	model	NOUN
ejpam-1597	589	14	that	that	PRON
ejpam-1597	589	15	included	include	VERB
ejpam-1597	589	16	the	the	DET
ejpam-1597	589	17	true	true	ADJ
ejpam-1597	589	18	model	model	NOUN
ejpam-1597	589	19	(	(	PUNCT
ejpam-1597	589	20	eg	eg	NOUN
ejpam-1597	589	21	.	.	PUNCT
ejpam-1597	590	1	x∗	x∗	PROPN
ejpam-1597	590	2	=	=	SYM
ejpam-1597	590	3	�	�	PROPN
ejpam-1597	590	4	x0	x0	PROPN
ejpam-1597	590	5	,	,	PUNCT
ejpam-1597	590	6	x1	x1	PROPN
ejpam-1597	590	7	,	,	PUNCT
ejpam-1597	590	8	x2	x2	PROPN
ejpam-1597	590	9	,	,	PUNCT
ejpam-1597	590	10	x3	x3	PROPN
ejpam-1597	590	11	,	,	PUNCT
ejpam-1597	590	12	x4	x4	PROPN
ejpam-1597	590	13	,	,	PUNCT
ejpam-1597	590	14	x5	x5	PROPN
ejpam-1597	590	15	�	�	PROPN
ejpam-1597	590	16	)	)	PUNCT
ejpam-1597	590	17	.	.	PUNCT
ejpam-1597	591	1	the	the	DET
ejpam-1597	591	2	final	final	ADJ
ejpam-1597	591	3	model	model	NOUN
ejpam-1597	591	4	selected	select	VERB
ejpam-1597	591	5	by	by	ADP
ejpam-1597	591	6	icom	icom	PROPN
ejpam-1597	591	7	p(f̂−1	p(f̂−1	PROPN
ejpam-1597	591	8	)	)	PUNCT
ejpam-1597	591	9	for	for	ADP
ejpam-1597	591	10	the	the	DET
ejpam-1597	591	11	large	large	ADJ
ejpam-1597	591	12	sample	sample	NOUN
ejpam-1597	591	13	simulation	simulation	NOUN
ejpam-1597	591	14	is	be	AUX
ejpam-1597	591	15	truly	truly	ADV
ejpam-1597	591	16	bizarre	bizarre	ADJ
ejpam-1597	591	17	12	12	NUM
ejpam-1597	591	18	regressors	regressor	NOUN
ejpam-1597	591	19	,	,	PUNCT
ejpam-1597	591	20	while	while	SCONJ
ejpam-1597	591	21	the	the	DET
ejpam-1597	591	22	average	average	ADJ
ejpam-1597	591	23	model	model	NOUN
ejpam-1597	591	24	length	length	NOUN
ejpam-1597	591	25	was	be	AUX
ejpam-1597	591	26	a	a	DET
ejpam-1597	591	27	respectable	respectable	ADJ
ejpam-1597	591	28	5	5	NUM
ejpam-1597	591	29	.	.	PUNCT
ejpam-1597	592	1	this	this	PRON
ejpam-1597	592	2	seems	seem	VERB
ejpam-1597	592	3	like	like	SCONJ
ejpam-1597	592	4	it	it	PRON
ejpam-1597	592	5	may	may	AUX
ejpam-1597	592	6	have	have	AUX
ejpam-1597	592	7	been	be	AUX
ejpam-1597	592	8	a	a	DET
ejpam-1597	592	9	vagary	vagary	NOUN
ejpam-1597	592	10	of	of	ADP
ejpam-1597	592	11	simulation	simulation	NOUN
ejpam-1597	592	12	.	.	PUNCT
ejpam-1597	593	1	in	in	ADP
ejpam-1597	593	2	table	table	NOUN
ejpam-1597	593	3	6	6	NUM
ejpam-1597	593	4	,	,	PUNCT
ejpam-1597	593	5	we	we	PRON
ejpam-1597	593	6	see	see	VERB
ejpam-1597	593	7	the	the	DET
ejpam-1597	593	8	results	result	NOUN
ejpam-1597	593	9	from	from	ADP
ejpam-1597	593	10	one	one	NUM
ejpam-1597	593	11	of	of	ADP
ejpam-1597	593	12	the	the	DET
ejpam-1597	593	13	many	many	ADJ
ejpam-1597	593	14	simulations	simulation	NOUN
ejpam-1597	593	15	in	in	ADP
ejpam-1597	593	16	which	which	PRON
ejpam-1597	593	17	thetable	thetable	ADJ
ejpam-1597	593	18	6	6	NUM
ejpam-1597	593	19	:	:	PUNCT
ejpam-1597	593	20	summary	summary	NOUN
ejpam-1597	593	21	from	from	ADP
ejpam-1597	593	22	one	one	NUM
ejpam-1597	593	23	simulation	simulation	NOUN
ejpam-1597	593	24	of	of	ADP
ejpam-1597	593	25	the	the	DET
ejpam-1597	593	26	extended	extend	VERB
ejpam-1597	593	27	s1	s1	NOUN
ejpam-1597	593	28	proto	proto	NOUN
ejpam-1597	593	29	ol	ol	PROPN
ejpam-1597	593	30	.	.	PROPN
ejpam-1597	593	31	subset	subset	PROPN
ejpam-1597	593	32	icom	icom	PROPN
ejpam-1597	593	33	pm	pm	PROPN
ejpam-1597	593	34	isp(ôcov(θ̂	isp(ôcov(θ̂	ADJ
ejpam-1597	593	35	)	)	PUNCT
ejpam-1597	593	36	)	)	PUNCT
ejpam-1597	594	1	weights	weight	VERB
ejpam-1597	594	2	#	#	NOUN
ejpam-1597	594	3	generations	generation	NOUN
ejpam-1597	594	4	{	{	PUNCT
ejpam-1597	594	5	0,1,2,3	0,1,2,3	NOUN
ejpam-1597	594	6	}	}	PUNCT
ejpam-1597	594	7	6789.73	6789.73	NUM
ejpam-1597	594	8	0.948	0.948	NUM
ejpam-1597	594	9	30	30	NUM
ejpam-1597	594	10	{	{	PUNCT
ejpam-1597	594	11	0,1,2,3,5	0,1,2,3,5	NOUN
ejpam-1597	594	12	}	}	PUNCT
ejpam-1597	594	13	6796.30	6796.30	NUM
ejpam-1597	594	14	0.035	0.035	NUM
ejpam-1597	594	15	25	25	NUM
ejpam-1597	594	16	{	{	PUNCT
ejpam-1597	594	17	0,1,2,3,5,14	0,1,2,3,5,14	NUM
ejpam-1597	594	18	}	}	SYM
ejpam-1597	594	19	6797.80	6797.80	NUM
ejpam-1597	594	20	0.017	0.017	NUM
ejpam-1597	594	21	1	1	NUM
ejpam-1597	594	22	{	{	PUNCT
ejpam-1597	594	23	0,1,2,3,5,9,14	0,1,2,3,5,9,14	ADV
ejpam-1597	594	24	}	}	PUNCT
ejpam-1597	594	25	6808.76	6808.76	NUM
ejpam-1597	594	26	0.000	0.000	NUM
ejpam-1597	594	27	1	1	NUM
ejpam-1597	594	28	{	{	PUNCT
ejpam-1597	594	29	0,1,2,3,4,9,14	0,1,2,3,4,9,14	NUM
ejpam-1597	594	30	}	}	PUNCT
ejpam-1597	594	31	6819.01	6819.01	NUM
ejpam-1597	594	32	0.000	0.000	NUM
ejpam-1597	594	33	1	1	NUM
ejpam-1597	594	34	{	{	PUNCT
ejpam-1597	594	35	0,1,2,3,5,9,14,18,19	0,1,2,3,5,9,14,18,19	NOUN
ejpam-1597	594	36	}	}	PUNCT
ejpam-1597	594	37	6828.54	6828.54	NUM
ejpam-1597	594	38	0.000	0.000	NUM
ejpam-1597	594	39	2	2	NUM
ejpam-1597	594	40	h.	h.	NOUN
ejpam-1597	594	41	bozdogan	bozdogan	PROPN
ejpam-1597	594	42	,	,	PUNCT
ejpam-1597	594	43	j.	j.	PROPN
ejpam-1597	594	44	howe	howe	PROPN
ejpam-1597	594	45	/	/	SYM
ejpam-1597	594	46	eur	eur	PROPN
ejpam-1597	594	47	.	.	PUNCT
ejpam-1597	595	1	j.	j.	PROPN
ejpam-1597	595	2	pure	pure	PROPN
ejpam-1597	595	3	appl	appl	PROPN
ejpam-1597	595	4	.	.	PROPN
ejpam-1597	595	5	math	math	PROPN
ejpam-1597	595	6	,	,	PUNCT
ejpam-1597	595	7	5	5	NUM
ejpam-1597	595	8	(	(	PUNCT
ejpam-1597	595	9	2012	2012	NUM
ejpam-1597	595	10	)	)	PUNCT
ejpam-1597	595	11	,	,	PUNCT
ejpam-1597	595	12	211	211	NUM
ejpam-1597	595	13	-	-	SYM
ejpam-1597	595	14	249	249	NUM
ejpam-1597	595	15	238	238	NUM
ejpam-1597	595	16	0	0	NUM
ejpam-1597	595	17	10	10	NUM
ejpam-1597	595	18	20	20	NUM
ejpam-1597	595	19	30	30	NUM
ejpam-1597	595	20	0	0	NUM
ejpam-1597	595	21	20	20	NUM
ejpam-1597	595	22	40	40	NUM
ejpam-1597	595	23	60	60	NUM
ejpam-1597	595	24	6500	6500	NUM
ejpam-1597	595	25	7000	7000	NUM
ejpam-1597	595	26	7500	7500	NUM
ejpam-1597	595	27	8000	8000	NUM
ejpam-1597	595	28	8500	8500	NUM
ejpam-1597	595	29	9000	9000	NUM
ejpam-1597	595	30	generations	generation	NOUN
ejpam-1597	595	31	3−dimensional	3−dimensional	NUM
ejpam-1597	595	32	surface	surface	NOUN
ejpam-1597	595	33	plot	plot	NOUN
ejpam-1597	595	34	of	of	ADP
ejpam-1597	595	35	icomp_ifim_misp	icomp_ifim_misp	DET
ejpam-1597	595	36	scores	score	NOUN
ejpam-1597	595	37	.	.	PUNCT
ejpam-1597	596	1	populationfigure	populationfigure	VERB
ejpam-1597	596	2	6	6	NUM
ejpam-1597	596	3	:	:	SYM
ejpam-1597	596	4	3	3	NUM
ejpam-1597	596	5	-	-	SYM
ejpam-1597	596	6	d	d	X
ejpam-1597	596	7	surfa	surfa	NOUN
ejpam-1597	596	8	e	e	NOUN
ejpam-1597	596	9	plot	plot	NOUN
ejpam-1597	596	10	of	of	ADP
ejpam-1597	596	11	icom	icom	PROPN
ejpam-1597	596	12	pm	pm	VERB
ejpam-1597	596	13	isp	isp	ADV
ejpam-1597	596	14	(	(	PUNCT
ejpam-1597	596	15	ôcov(θ̂	ôcov(θ̂	NUM
ejpam-1597	596	16	)	)	PUNCT
ejpam-1597	596	17	.	.	PUNCT
ejpam-1597	597	1	misspecified	misspecifie	VERB
ejpam-1597	597	2	version	version	NOUN
ejpam-1597	597	3	of	of	ADP
ejpam-1597	597	4	icom	icom	PROPN
ejpam-1597	597	5	p	p	PROPN
ejpam-1597	597	6	selected	select	VERB
ejpam-1597	597	7	x	x	PUNCT
ejpam-1597	597	8	∗	∗	NOUN
ejpam-1597	597	9	as	as	ADP
ejpam-1597	597	10	the	the	DET
ejpam-1597	597	11	best	good	ADJ
ejpam-1597	597	12	model	model	NOUN
ejpam-1597	597	13	.	.	PUNCT
ejpam-1597	598	1	here	here	ADV
ejpam-1597	598	2	we	we	PRON
ejpam-1597	598	3	see	see	VERB
ejpam-1597	598	4	that	that	SCONJ
ejpam-1597	598	5	the	the	DET
ejpam-1597	598	6	criteria	criterion	NOUN
ejpam-1597	598	7	was	be	AUX
ejpam-1597	598	8	almost	almost	ADV
ejpam-1597	598	9	95	95	NUM
ejpam-1597	598	10	%	%	NOUN
ejpam-1597	598	11	certain	certain	ADJ
ejpam-1597	598	12	that	that	SCONJ
ejpam-1597	598	13	its	its	PRON
ejpam-1597	598	14	solution	solution	NOUN
ejpam-1597	598	15	was	be	AUX
ejpam-1597	598	16	the	the	DET
ejpam-1597	598	17	true	true	ADJ
ejpam-1597	598	18	model	model	NOUN
ejpam-1597	598	19	.	.	PUNCT
ejpam-1597	599	1	finally	finally	ADV
ejpam-1597	599	2	,	,	PUNCT
ejpam-1597	599	3	we	we	PRON
ejpam-1597	599	4	see	see	VERB
ejpam-1597	599	5	,	,	PUNCT
ejpam-1597	599	6	in	in	ADP
ejpam-1597	599	7	figure	figure	NOUN
ejpam-1597	599	8	6	6	NUM
ejpam-1597	599	9	,	,	PUNCT
ejpam-1597	599	10	how	how	SCONJ
ejpam-1597	599	11	much	much	ADJ
ejpam-1597	599	12	the	the	DET
ejpam-1597	599	13	ga	ga	PROPN
ejpam-1597	599	14	smoothed	smooth	VERB
ejpam-1597	599	15	the	the	DET
ejpam-1597	599	16	search	search	NOUN
ejpam-1597	599	17	surface	surface	NOUN
ejpam-1597	599	18	,	,	PUNCT
ejpam-1597	599	19	with	with	ADP
ejpam-1597	599	20	relatively	relatively	ADV
ejpam-1597	599	21	rare	rare	ADJ
ejpam-1597	599	22	spikes	spike	NOUN
ejpam-1597	599	23	in	in	ADP
ejpam-1597	599	24	the	the	DET
ejpam-1597	599	25	icom	icom	PROPN
ejpam-1597	599	26	p	p	PROPN
ejpam-1597	599	27	scores	score	NOUN
ejpam-1597	599	28	.	.	PUNCT
ejpam-1597	600	1	though	though	SCONJ
ejpam-1597	600	2	this	this	DET
ejpam-1597	600	3	plot	plot	NOUN
ejpam-1597	600	4	does	do	AUX
ejpam-1597	600	5	n’t	not	PART
ejpam-1597	600	6	show	show	VERB
ejpam-1597	600	7	it	it	PRON
ejpam-1597	600	8	,	,	PUNCT
ejpam-1597	600	9	the	the	DET
ejpam-1597	600	10	simulation	simulation	NOUN
ejpam-1597	600	11	found	find	VERB
ejpam-1597	600	12	it	it	PRON
ejpam-1597	600	13	’s	’	VERB
ejpam-1597	600	14	final	final	ADJ
ejpam-1597	600	15	solution	solution	NOUN
ejpam-1597	600	16	in	in	ADP
ejpam-1597	600	17	the	the	DET
ejpam-1597	600	18	30th	30th	ADJ
ejpam-1597	600	19	generation	generation	NOUN
ejpam-1597	600	20	.	.	PUNCT
ejpam-1597	601	1	secondly	secondly	ADV
ejpam-1597	601	2	,	,	PUNCT
ejpam-1597	601	3	we	we	PRON
ejpam-1597	601	4	performed	perform	VERB
ejpam-1597	601	5	100	100	NUM
ejpam-1597	601	6	simulations	simulation	NOUN
ejpam-1597	601	7	with	with	ADP
ejpam-1597	601	8	n=	n=	ADJ
ejpam-1597	601	9	500	500	NUM
ejpam-1597	601	10	and	and	CCONJ
ejpam-1597	601	11	100	100	NUM
ejpam-1597	601	12	simulations	simulation	NOUN
ejpam-1597	601	13	with	with	ADP
ejpam-1597	601	14	n=	n=	ADJ
ejpam-1597	601	15	1000	1000	NUM
ejpam-1597	601	16	from	from	ADP
ejpam-1597	601	17	the	the	DET
ejpam-1597	601	18	extended	extended	ADJ
ejpam-1597	601	19	protocol	protocol	NOUN
ejpam-1597	601	20	with	with	ADP
ejpam-1597	601	21	the	the	DET
ejpam-1597	601	22	skewed	skewed	ADJ
ejpam-1597	601	23	error	error	NOUN
ejpam-1597	601	24	terms	term	NOUN
ejpam-1597	601	25	.	.	PUNCT
ejpam-1597	602	1	results	result	NOUN
ejpam-1597	602	2	from	from	ADP
ejpam-1597	602	3	these	these	DET
ejpam-1597	602	4	simulations	simulation	NOUN
ejpam-1597	602	5	can	can	AUX
ejpam-1597	602	6	be	be	AUX
ejpam-1597	602	7	seen	see	VERB
ejpam-1597	602	8	in	in	ADP
ejpam-1597	602	9	table	table	NOUN
ejpam-1597	602	10	7	7	NUM
ejpam-1597	602	11	.	.	PUNCT
ejpam-1597	603	1	it	it	PRON
ejpam-1597	603	2	seems	seem	VERB
ejpam-1597	603	3	noteworthy	noteworthy	ADJ
ejpam-1597	603	4	that	that	SCONJ
ejpam-1597	603	5	the	the	DET
ejpam-1597	603	6	kl	kl	PROPN
ejpam-1597	603	7	distance	distance	NOUN
ejpam-1597	603	8	,	,	PUNCT
ejpam-1597	603	9	assuming	assume	VERB
ejpam-1597	603	10	normality	normality	NOUN
ejpam-1597	603	11	,	,	PUNCT
ejpam-1597	603	12	did	do	AUX
ejpam-1597	603	13	not	not	PART
ejpam-1597	603	14	perform	perform	VERB
ejpam-1597	603	15	substantially	substantially	ADV
ejpam-1597	603	16	better	well	ADJ
ejpam-1597	603	17	with	with	ADP
ejpam-1597	603	18	the	the	DET
ejpam-1597	603	19	increase	increase	NOUN
ejpam-1597	603	20	in	in	ADP
ejpam-1597	603	21	sample	sample	NOUN
ejpam-1597	603	22	size	size	NOUN
ejpam-1597	603	23	.	.	PUNCT
ejpam-1597	604	1	with	with	ADP
ejpam-1597	604	2	the	the	DET
ejpam-1597	604	3	smaller	small	ADJ
ejpam-1597	604	4	sample	sample	NOUN
ejpam-1597	604	5	size	size	NOUN
ejpam-1597	604	6	,	,	PUNCT
ejpam-1597	604	7	icom	icom	PROPN
ejpam-1597	604	8	pm	pm	PROPN
ejpam-1597	604	9	isp(ôcov(θ̂	isp(ôcov(θ̂	ADJ
ejpam-1597	604	10	)	)	PUNCT
ejpam-1597	604	11	)	)	PUNCT
ejpam-1597	605	1	did	do	VERB
ejpam-1597	605	2	the	the	DET
ejpam-1597	605	3	best	good	ADJ
ejpam-1597	605	4	job	job	NOUN
ejpam-1597	605	5	of	of	ADP
ejpam-1597	605	6	hitting	hit	VERB
ejpam-1597	605	7	the	the	DET
ejpam-1597	605	8	true	true	ADJ
ejpam-1597	605	9	model	model	NOUN
ejpam-1597	605	10	,	,	PUNCT
ejpam-1597	605	11	at	at	ADP
ejpam-1597	605	12	42	42	NUM
ejpam-1597	605	13	%	%	NOUN
ejpam-1597	605	14	;	;	PUNCT
ejpam-1597	605	15	minimizing	minimize	VERB
ejpam-1597	605	16	both	both	CCONJ
ejpam-1597	605	17	sbc	sbc	PROPN
ejpam-1597	605	18	and	and	CCONJ
ejpam-1597	605	19	icom	icom	PROPN
ejpam-1597	605	20	pm	pm	PROPN
ejpam-1597	605	21	isp_peu(ôcov(θ̂	isp_peu(ôcov(θ̂	NOUN
ejpam-1597	605	22	)	)	PUNCT
ejpam-1597	605	23	)	)	PUNCT
ejpam-1597	606	1	selected	select	VERB
ejpam-1597	606	2	the	the	DET
ejpam-1597	606	3	true	true	ADJ
ejpam-1597	606	4	model	model	NOUN
ejpam-1597	606	5	.	.	PUNCT
ejpam-1597	607	1	however	however	ADV
ejpam-1597	607	2	,	,	PUNCT
ejpam-1597	607	3	when	when	SCONJ
ejpam-1597	607	4	the	the	DET
ejpam-1597	607	5	sample	sample	NOUN
ejpam-1597	607	6	size	size	NOUN
ejpam-1597	607	7	was	be	AUX
ejpam-1597	607	8	increased	increase	VERB
ejpam-1597	607	9	to	to	ADP
ejpam-1597	607	10	n	n	NOUN
ejpam-1597	607	11	=	=	SYM
ejpam-1597	607	12	1000	1000	NUM
ejpam-1597	607	13	,	,	PUNCT
ejpam-1597	607	14	both	both	DET
ejpam-1597	607	15	misspecified	misspecifie	VERB
ejpam-1597	607	16	forms	form	NOUN
ejpam-1597	607	17	of	of	ADP
ejpam-1597	607	18	icom	icom	PROPN
ejpam-1597	607	19	p	p	PROPN
ejpam-1597	607	20	had	have	VERB
ejpam-1597	607	21	the	the	DET
ejpam-1597	607	22	highest	high	ADJ
ejpam-1597	607	23	hit	hit	VERB
ejpam-1597	607	24	rates	rate	NOUN
ejpam-1597	607	25	of	of	ADP
ejpam-1597	607	26	80	80	NUM
ejpam-1597	607	27	%	%	NOUN
ejpam-1597	607	28	and	and	CCONJ
ejpam-1597	607	29	73	73	NUM
ejpam-1597	607	30	%	%	NOUN
ejpam-1597	607	31	,	,	PUNCT
ejpam-1597	607	32	besting	best	VERB
ejpam-1597	607	33	the	the	DET
ejpam-1597	607	34	58	58	NUM
ejpam-1597	607	35	%	%	NOUN
ejpam-1597	607	36	obtained	obtain	VERB
ejpam-1597	607	37	by	by	ADP
ejpam-1597	607	38	the	the	DET
ejpam-1597	607	39	kl	kl	PROPN
ejpam-1597	607	40	distance	distance	NOUN
ejpam-1597	607	41	.	.	PUNCT
ejpam-1597	608	1	the	the	DET
ejpam-1597	608	2	only	only	ADJ
ejpam-1597	608	3	criteria	criterion	NOUN
ejpam-1597	608	4	which	which	PRON
ejpam-1597	608	5	selected	select	VERB
ejpam-1597	608	6	,	,	PUNCT
ejpam-1597	608	7	via	via	ADP
ejpam-1597	608	8	minimization	minimization	NOUN
ejpam-1597	608	9	,	,	PUNCT
ejpam-1597	608	10	the	the	DET
ejpam-1597	608	11	true	true	ADJ
ejpam-1597	608	12	model	model	NOUN
ejpam-1597	608	13	were	be	AUX
ejpam-1597	608	14	three	three	NUM
ejpam-1597	608	15	of	of	ADP
ejpam-1597	608	16	the	the	DET
ejpam-1597	608	17	four	four	NUM
ejpam-1597	608	18	icom	icom	PROPN
ejpam-1597	608	19	ps	ps	PROPN
ejpam-1597	608	20	.	.	PROPN
ejpam-1597	608	21	with	with	ADP
ejpam-1597	608	22	these	these	DET
ejpam-1597	608	23	monte	monte	PROPN
ejpam-1597	608	24	carlo	carlo	PROPN
ejpam-1597	608	25	simulation	simulation	PROPN
ejpam-1597	608	26	studies	study	NOUN
ejpam-1597	608	27	,	,	PUNCT
ejpam-1597	608	28	we	we	PRON
ejpam-1597	608	29	’ve	’ve	AUX
ejpam-1597	608	30	shown	show	VERB
ejpam-1597	608	31	that	that	SCONJ
ejpam-1597	608	32	,	,	PUNCT
ejpam-1597	608	33	in	in	ADP
ejpam-1597	608	34	multivariate	multivariate	NOUN
ejpam-1597	608	35	regression	regression	NOUN
ejpam-1597	608	36	,	,	PUNCT
ejpam-1597	608	37	when	when	SCONJ
ejpam-1597	608	38	the	the	DET
ejpam-1597	608	39	error	error	NOUN
ejpam-1597	608	40	terms	term	NOUN
ejpam-1597	608	41	exhibit	exhibit	VERB
ejpam-1597	608	42	nonnormal	nonnormal	ADJ
ejpam-1597	608	43	skewness	skewness	NOUN
ejpam-1597	608	44	or	or	CCONJ
ejpam-1597	608	45	peakedness	peakedness	NOUN
ejpam-1597	608	46	,	,	PUNCT
ejpam-1597	608	47	the	the	DET
ejpam-1597	608	48	forms	form	NOUN
ejpam-1597	608	49	of	of	ADP
ejpam-1597	608	50	icom	icom	PROPN
ejpam-1597	608	51	p	p	PROPN
ejpam-1597	608	52	which	which	PRON
ejpam-1597	608	53	account	account	VERB
ejpam-1597	608	54	for	for	ADP
ejpam-1597	608	55	the	the	DET
ejpam-1597	608	56	sample	sample	NOUN
ejpam-1597	608	57	characteristics	characteristic	NOUN
ejpam-1597	608	58	can	can	AUX
ejpam-1597	608	59	consistently	consistently	ADV
ejpam-1597	608	60	pick	pick	VERB
ejpam-1597	608	61	the	the	DET
ejpam-1597	608	62	correct	correct	ADJ
ejpam-1597	608	63	,	,	PUNCT
ejpam-1597	608	64	or	or	CCONJ
ejpam-1597	608	65	truly	truly	ADV
ejpam-1597	608	66	best	good	ADJ
ejpam-1597	608	67	fitting	fitting	ADJ
ejpam-1597	608	68	model	model	NOUN
ejpam-1597	608	69	.	.	PUNCT
ejpam-1597	609	1	h.	h.	PROPN
ejpam-1597	609	2	bozdogan	bozdogan	PROPN
ejpam-1597	609	3	,	,	PUNCT
ejpam-1597	609	4	j.	j.	PROPN
ejpam-1597	609	5	howe	howe	PROPN
ejpam-1597	609	6	/	/	SYM
ejpam-1597	609	7	eur	eur	PROPN
ejpam-1597	609	8	.	.	PUNCT
ejpam-1597	610	1	j.	j.	PROPN
ejpam-1597	610	2	pure	pure	PROPN
ejpam-1597	610	3	appl	appl	PROPN
ejpam-1597	610	4	.	.	PROPN
ejpam-1597	610	5	math	math	PROPN
ejpam-1597	610	6	,	,	PUNCT
ejpam-1597	610	7	5	5	NUM
ejpam-1597	610	8	(	(	PUNCT
ejpam-1597	610	9	2012	2012	NUM
ejpam-1597	610	10	)	)	PUNCT
ejpam-1597	610	11	,	,	PUNCT
ejpam-1597	610	12	211	211	NUM
ejpam-1597	610	13	-	-	SYM
ejpam-1597	610	14	249	249	NUM
ejpam-1597	610	15	239table	239table	PROPN
ejpam-1597	610	16	7	7	NUM
ejpam-1597	610	17	:	:	PUNCT
ejpam-1597	610	18	model	model	NOUN
ejpam-1597	610	19	sele	sele	PROPN
ejpam-1597	610	20	tion	tion	PROPN
ejpam-1597	610	21	statisti	statisti	PROPN
ejpam-1597	610	22	s	s	PART
ejpam-1597	610	23	from	from	ADP
ejpam-1597	610	24	simulations	simulation	NOUN
ejpam-1597	610	25	of	of	ADP
ejpam-1597	610	26	extended	extended	ADJ
ejpam-1597	610	27	s2	s2	PROPN
ejpam-1597	610	28	.	.	PUNCT
ejpam-1597	611	1	criteria	criterion	NOUN
ejpam-1597	611	2	n	n	PRON
ejpam-1597	611	3	model	model	NOUN
ejpam-1597	611	4	selected	select	VERB
ejpam-1597	611	5	true	true	ADJ
ejpam-1597	611	6	model	model	NOUN
ejpam-1597	611	7	avg	avg	PROPN
ejpam-1597	611	8	length	length	PROPN
ejpam-1597	611	9	kl	kl	PROPN
ejpam-1597	611	10	distance	distance	NOUN
ejpam-1597	611	11	500	500	NUM
ejpam-1597	611	12	{	{	PUNCT
ejpam-1597	611	13	0,1,2,3	0,1,2,3	NUM
ejpam-1597	611	14	}	}	PUNCT
ejpam-1597	611	15	48.0	48.0	NUM
ejpam-1597	611	16	4	4	NUM
ejpam-1597	611	17	1000	1000	NUM
ejpam-1597	611	18	{	{	PUNCT
ejpam-1597	611	19	0,1,2,3	0,1,2,3	NOUN
ejpam-1597	611	20	}	}	PUNCT
ejpam-1597	611	21	58.0	58.0	NUM
ejpam-1597	611	22	4	4	NUM
ejpam-1597	611	23	aic	aic	PROPN
ejpam-1597	611	24	500	500	NUM
ejpam-1597	611	25	{	{	PUNCT
ejpam-1597	611	26	0,1,2,3,6,8	0,1,2,3,6,8	NOUN
ejpam-1597	611	27	}	}	PUNCT
ejpam-1597	611	28	6.0	6.0	NUM
ejpam-1597	611	29	6	6	NUM
ejpam-1597	611	30	1000	1000	NUM
ejpam-1597	611	31	{	{	PUNCT
ejpam-1597	611	32	0,1,2,3,14,16	0,1,2,3,14,16	NUM
ejpam-1597	611	33	}	}	PUNCT
ejpam-1597	611	34	8.0	8.0	NUM
ejpam-1597	611	35	6	6	NUM
ejpam-1597	611	36	sbc	sbc	NOUN
ejpam-1597	611	37	500	500	NUM
ejpam-1597	611	38	{	{	PUNCT
ejpam-1597	611	39	0,1,2,3	0,1,2,3	NUM
ejpam-1597	611	40	}	}	PUNCT
ejpam-1597	611	41	17.0	17.0	NUM
ejpam-1597	611	42	2	2	NUM
ejpam-1597	611	43	1000	1000	NUM
ejpam-1597	611	44	{	{	PUNCT
ejpam-1597	611	45	0,1,3,5	0,1,3,5	NUM
ejpam-1597	611	46	}	}	SYM
ejpam-1597	611	47	63.0	63.0	NUM
ejpam-1597	611	48	4	4	NUM
ejpam-1597	611	49	gaic	gaic	ADJ
ejpam-1597	611	50	500	500	NUM
ejpam-1597	611	51	{	{	PUNCT
ejpam-1597	611	52	0,1,2,3,4,12,19	0,1,2,3,4,12,19	NOUN
ejpam-1597	611	53	}	}	PUNCT
ejpam-1597	611	54	5.0	5.0	NUM
ejpam-1597	611	55	6	6	NUM
ejpam-1597	611	56	1000	1000	NUM
ejpam-1597	611	57	{	{	PUNCT
ejpam-1597	611	58	0,1,2,3,5,14,15	0,1,2,3,5,14,15	NUM
ejpam-1597	611	59	}	}	PUNCT
ejpam-1597	611	60	3.0	3.0	NUM
ejpam-1597	611	61	6	6	NUM
ejpam-1597	611	62	icom	icom	PROPN
ejpam-1597	611	63	p	p	PROPN
ejpam-1597	611	64	500	500	NUM
ejpam-1597	611	65	{	{	PUNCT
ejpam-1597	611	66	1,3,4,5,6,9	1,3,4,5,6,9	NUM
ejpam-1597	611	67	}	}	PUNCT
ejpam-1597	611	68	6.0	6.0	NUM
ejpam-1597	611	69	6	6	NUM
ejpam-1597	611	70	1000	1000	NUM
ejpam-1597	611	71	{	{	PUNCT
ejpam-1597	611	72	0,1,2,3,5	0,1,2,3,5	NOUN
ejpam-1597	611	73	}	}	PUNCT
ejpam-1597	611	74	47.0	47.0	NUM
ejpam-1597	611	75	5	5	NUM
ejpam-1597	611	76	icom	icom	X
ejpam-1597	611	77	ppeu	ppeu	VERB
ejpam-1597	611	78	500	500	NUM
ejpam-1597	611	79	{	{	PUNCT
ejpam-1597	611	80	1,3,4,5,9,13,14	1,3,4,5,9,13,14	NUM
ejpam-1597	611	81	}	}	SYM
ejpam-1597	611	82	9.0	9.0	NUM
ejpam-1597	611	83	4	4	NUM
ejpam-1597	611	84	1000	1000	NUM
ejpam-1597	611	85	{	{	PUNCT
ejpam-1597	611	86	0,1,2,3	0,1,2,3	NUM
ejpam-1597	611	87	}	}	PUNCT
ejpam-1597	611	88	49.0	49.0	NUM
ejpam-1597	611	89	5	5	NUM
ejpam-1597	611	90	icom	icom	NOUN
ejpam-1597	611	91	pm	pm	VERB
ejpam-1597	611	92	isp	isp	ADV
ejpam-1597	611	93	500	500	NUM
ejpam-1597	611	94	{	{	PUNCT
ejpam-1597	611	95	0,1,3	0,1,3	NOUN
ejpam-1597	611	96	}	}	PUNCT
ejpam-1597	611	97	42.0	42.0	NUM
ejpam-1597	611	98	4	4	NUM
ejpam-1597	611	99	1000	1000	NUM
ejpam-1597	611	100	{	{	PUNCT
ejpam-1597	611	101	0,1,2,3	0,1,2,3	NOUN
ejpam-1597	611	102	}	}	PUNCT
ejpam-1597	611	103	80.0	80.0	NUM
ejpam-1597	611	104	5	5	NUM
ejpam-1597	611	105	icom	icom	NOUN
ejpam-1597	611	106	pm	pm	NOUN
ejpam-1597	611	107	isp_peu	isp_peu	PROPN
ejpam-1597	611	108	500	500	NUM
ejpam-1597	611	109	{	{	PUNCT
ejpam-1597	611	110	0,1,2,3	0,1,2,3	NOUN
ejpam-1597	611	111	}	}	PUNCT
ejpam-1597	611	112	38.0	38.0	NUM
ejpam-1597	611	113	3	3	NUM
ejpam-1597	611	114	1000	1000	NUM
ejpam-1597	611	115	{	{	PUNCT
ejpam-1597	611	116	0,1,2,3	0,1,2,3	NOUN
ejpam-1597	611	117	}	}	PUNCT
ejpam-1597	611	118	73.0	73.0	NUM
ejpam-1597	611	119	4	4	NUM
ejpam-1597	611	120	7.3	7.3	NUM
ejpam-1597	611	121	.	.	PUNCT
ejpam-1597	612	1	ga	ga	NOUN
ejpam-1597	612	2	performance	performance	NOUN
ejpam-1597	612	3	under	under	ADP
ejpam-1597	612	4	simulations	simulation	NOUN
ejpam-1597	612	5	regarding	regard	VERB
ejpam-1597	612	6	the	the	DET
ejpam-1597	612	7	performance	performance	NOUN
ejpam-1597	612	8	of	of	ADP
ejpam-1597	612	9	the	the	DET
ejpam-1597	612	10	ga	ga	PROPN
ejpam-1597	612	11	,	,	PUNCT
ejpam-1597	612	12	recall	recall	VERB
ejpam-1597	612	13	that	that	SCONJ
ejpam-1597	612	14	,	,	PUNCT
ejpam-1597	612	15	for	for	ADP
ejpam-1597	612	16	the	the	DET
ejpam-1597	612	17	extended	extended	ADJ
ejpam-1597	612	18	simulation	simulation	NOUN
ejpam-1597	612	19	protocol	protocol	NOUN
ejpam-1597	612	20	,	,	PUNCT
ejpam-1597	612	21	there	there	PRON
ejpam-1597	612	22	were	be	VERB
ejpam-1597	612	23	over	over	ADV
ejpam-1597	612	24	two	two	NUM
ejpam-1597	612	25	million	million	NUM
ejpam-1597	612	26	possible	possible	ADJ
ejpam-1597	612	27	models	model	NOUN
ejpam-1597	612	28	to	to	PART
ejpam-1597	612	29	evaluate	evaluate	VERB
ejpam-1597	612	30	.	.	PUNCT
ejpam-1597	613	1	each	each	DET
ejpam-1597	613	2	simulation	simulation	NOUN
ejpam-1597	613	3	evaluated	evaluate	VERB
ejpam-1597	613	4	30	30	NUM
ejpam-1597	613	5	(	(	PUNCT
ejpam-1597	613	6	not	not	PART
ejpam-1597	613	7	necessarily	necessarily	ADV
ejpam-1597	613	8	unique	unique	ADJ
ejpam-1597	613	9	)	)	PUNCT
ejpam-1597	613	10	solutions	solution	NOUN
ejpam-1597	613	11	per	per	ADP
ejpam-1597	613	12	generation	generation	NOUN
ejpam-1597	613	13	;	;	PUNCT
ejpam-1597	613	14	and	and	CCONJ
ejpam-1597	613	15	was	be	AUX
ejpam-1597	613	16	allowed	allow	VERB
ejpam-1597	613	17	to	to	PART
ejpam-1597	613	18	progress	progress	VERB
ejpam-1597	613	19	through	through	ADP
ejpam-1597	613	20	60	60	NUM
ejpam-1597	613	21	generations	generation	NOUN
ejpam-1597	613	22	.	.	PUNCT
ejpam-1597	614	1	therefore	therefore	ADV
ejpam-1597	614	2	,	,	PUNCT
ejpam-1597	614	3	each	each	DET
ejpam-1597	614	4	simulation	simulation	NOUN
ejpam-1597	614	5	evaluated	evaluate	VERB
ejpam-1597	614	6	at	at	ADP
ejpam-1597	614	7	most	most	ADJ
ejpam-1597	614	8	30×	30×	NUM
ejpam-1597	614	9	60	60	NUM
ejpam-1597	614	10	=	=	SYM
ejpam-1597	614	11	1,800	1,800	NUM
ejpam-1597	614	12	subset	subset	NOUN
ejpam-1597	614	13	regression	regression	NOUN
ejpam-1597	614	14	models	model	NOUN
ejpam-1597	614	15	.	.	PUNCT
ejpam-1597	615	1	with	with	ADP
ejpam-1597	615	2	the	the	DET
ejpam-1597	615	3	exception	exception	NOUN
ejpam-1597	615	4	of	of	ADP
ejpam-1597	615	5	the	the	DET
ejpam-1597	615	6	icom	icom	PROPN
ejpam-1597	615	7	pm	pm	VERB
ejpam-1597	615	8	isp	isp	ADJ
ejpam-1597	615	9	criteria	criterion	NOUN
ejpam-1597	615	10	,	,	PUNCT
ejpam-1597	615	11	computation	computation	NOUN
ejpam-1597	615	12	time	time	NOUN
ejpam-1597	615	13	for	for	ADP
ejpam-1597	615	14	each	each	DET
ejpam-1597	615	15	simulation	simulation	NOUN
ejpam-1597	615	16	hovered	hover	VERB
ejpam-1597	615	17	in	in	ADP
ejpam-1597	615	18	the	the	DET
ejpam-1597	615	19	(	(	PUNCT
ejpam-1597	615	20	1.5s	1.5s	NUM
ejpam-1597	615	21	,	,	PUNCT
ejpam-1597	615	22	3.5s	3.5s	NUM
ejpam-1597	615	23	)	)	PUNCT
ejpam-1597	615	24	range	range	NOUN
ejpam-1597	615	25	(	(	PUNCT
ejpam-1597	615	26	8.5s	8.5s	NOUN
ejpam-1597	615	27	,	,	PUNCT
ejpam-1597	615	28	25s	25s	NUM
ejpam-1597	615	29	)	)	PUNCT
ejpam-1597	615	30	for	for	ADP
ejpam-1597	615	31	the	the	DET
ejpam-1597	615	32	misspecified	misspecifie	VERB
ejpam-1597	615	33	criteria	criterion	NOUN
ejpam-1597	615	34	.	.	PUNCT
ejpam-1597	616	1	that	that	SCONJ
ejpam-1597	616	2	some	some	PRON
ejpam-1597	616	3	of	of	ADP
ejpam-1597	616	4	these	these	DET
ejpam-1597	616	5	model	model	NOUN
ejpam-1597	616	6	statistics	statistic	NOUN
ejpam-1597	616	7	could	could	AUX
ejpam-1597	616	8	consistently	consistently	ADV
ejpam-1597	616	9	pick	pick	VERB
ejpam-1597	616	10	out	out	ADP
ejpam-1597	616	11	the	the	DET
ejpam-1597	616	12	correct	correct	ADJ
ejpam-1597	616	13	model	model	NOUN
ejpam-1597	616	14	while	while	SCONJ
ejpam-1597	616	15	only	only	ADV
ejpam-1597	616	16	evaluating	evaluate	VERB
ejpam-1597	616	17	at	at	ADP
ejpam-1597	616	18	most	most	ADJ
ejpam-1597	616	19	100×	100×	PROPN
ejpam-1597	616	20	(	(	PUNCT
ejpam-1597	616	21	1800/2,097,151	1800/2,097,151	NUM
ejpam-1597	616	22	)	)	PUNCT
ejpam-1597	616	23	=	=	PUNCT
ejpam-1597	616	24	0.086	0.086	NUM
ejpam-1597	616	25	%	%	NOUN
ejpam-1597	616	26	of	of	ADP
ejpam-1597	616	27	the	the	DET
ejpam-1597	616	28	subset	subset	NOUN
ejpam-1597	616	29	space	space	NOUN
ejpam-1597	616	30	,	,	PUNCT
ejpam-1597	616	31	in	in	ADP
ejpam-1597	616	32	such	such	DET
ejpam-1597	616	33	a	a	DET
ejpam-1597	616	34	short	short	ADJ
ejpam-1597	616	35	time	time	NOUN
ejpam-1597	616	36	,	,	PUNCT
ejpam-1597	616	37	is	be	AUX
ejpam-1597	616	38	phenomenal	phenomenal	ADJ
ejpam-1597	616	39	.	.	PUNCT
ejpam-1597	617	1	in	in	ADP
ejpam-1597	617	2	fact	fact	NOUN
ejpam-1597	617	3	,	,	PUNCT
ejpam-1597	617	4	to	to	PART
ejpam-1597	617	5	demonstrate	demonstrate	VERB
ejpam-1597	617	6	this	this	DET
ejpam-1597	617	7	performance	performance	NOUN
ejpam-1597	617	8	and	and	CCONJ
ejpam-1597	617	9	scalability	scalability	NOUN
ejpam-1597	617	10	,	,	PUNCT
ejpam-1597	617	11	we	we	PRON
ejpam-1597	617	12	performed	perform	VERB
ejpam-1597	617	13	a	a	DET
ejpam-1597	617	14	series	series	NOUN
ejpam-1597	617	15	of	of	ADP
ejpam-1597	617	16	timing	timing	NOUN
ejpam-1597	617	17	experiments	experiment	NOUN
ejpam-1597	617	18	.	.	PUNCT
ejpam-1597	618	1	we	we	PRON
ejpam-1597	618	2	set	set	VERB
ejpam-1597	618	3	generation	generation	NOUN
ejpam-1597	618	4	count	count	NOUN
ejpam-1597	618	5	=	=	SYM
ejpam-1597	618	6	60	60	NUM
ejpam-1597	618	7	and	and	CCONJ
ejpam-1597	618	8	used	use	VERB
ejpam-1597	618	9	the	the	DET
ejpam-1597	618	10	ga	ga	PROPN
ejpam-1597	618	11	to	to	PART
ejpam-1597	618	12	perform	perform	VERB
ejpam-1597	618	13	subset	subset	NOUN
ejpam-1597	618	14	regression	regression	NOUN
ejpam-1597	618	15	while	while	SCONJ
ejpam-1597	618	16	varying	vary	VERB
ejpam-1597	618	17	q	q	X
ejpam-1597	618	18	,	,	PUNCT
ejpam-1597	618	19	with	with	ADP
ejpam-1597	618	20	p	p	NOUN
ejpam-1597	618	21	=	=	PUNCT
ejpam-1597	618	22	q+	q+	ADP
ejpam-1597	618	23	10	10	NUM
ejpam-1597	618	24	(	(	PUNCT
ejpam-1597	618	25	p	p	NOUN
ejpam-1597	618	26	=	=	NOUN
ejpam-1597	618	27	population	population	NOUN
ejpam-1597	618	28	size	size	NOUN
ejpam-1597	618	29	)	)	PUNCT
ejpam-1597	618	30	.	.	PUNCT
ejpam-1597	619	1	so	so	ADV
ejpam-1597	619	2	as	as	SCONJ
ejpam-1597	619	3	to	to	PART
ejpam-1597	619	4	remove	remove	VERB
ejpam-1597	619	5	any	any	DET
ejpam-1597	619	6	timing	timing	NOUN
ejpam-1597	619	7	effect	effect	NOUN
ejpam-1597	619	8	of	of	ADP
ejpam-1597	619	9	sampling	sample	VERB
ejpam-1597	619	10	of	of	ADP
ejpam-1597	619	11	misspecification	misspecification	NOUN
ejpam-1597	619	12	,	,	PUNCT
ejpam-1597	619	13	simulations	simulation	NOUN
ejpam-1597	619	14	were	be	AUX
ejpam-1597	619	15	performed	perform	VERB
ejpam-1597	619	16	with	with	ADP
ejpam-1597	619	17	β	β	X
ejpam-1597	619	18	=	=	SYM
ejpam-1597	619	19	1.0	1.0	NUM
ejpam-1597	619	20	and	and	CCONJ
ejpam-1597	619	21	n=	n=	ADJ
ejpam-1597	619	22	500	500	NUM
ejpam-1597	619	23	;	;	PUNCT
ejpam-1597	619	24	for	for	ADP
ejpam-1597	619	25	this	this	DET
ejpam-1597	619	26	test	test	NOUN
ejpam-1597	619	27	,	,	PUNCT
ejpam-1597	619	28	we	we	PRON
ejpam-1597	619	29	used	use	VERB
ejpam-1597	619	30	sbc	sbc	NOUN
ejpam-1597	619	31	to	to	PART
ejpam-1597	619	32	drive	drive	VERB
ejpam-1597	619	33	model	model	NOUN
ejpam-1597	619	34	selection	selection	NOUN
ejpam-1597	619	35	.	.	PUNCT
ejpam-1597	620	1	ten	ten	NUM
ejpam-1597	620	2	simulations	simulation	NOUN
ejpam-1597	620	3	at	at	ADP
ejpam-1597	620	4	each	each	DET
ejpam-1597	620	5	level	level	NOUN
ejpam-1597	620	6	of	of	ADP
ejpam-1597	620	7	q	q	NOUN
ejpam-1597	620	8	were	be	AUX
ejpam-1597	620	9	performed	perform	VERB
ejpam-1597	620	10	,	,	PUNCT
ejpam-1597	620	11	and	and	CCONJ
ejpam-1597	620	12	the	the	DET
ejpam-1597	620	13	average	average	ADJ
ejpam-1597	620	14	process	process	NOUN
ejpam-1597	620	15	time	time	NOUN
ejpam-1597	620	16	was	be	AUX
ejpam-1597	620	17	computed	compute	VERB
ejpam-1597	620	18	;	;	PUNCT
ejpam-1597	620	19	results	result	NOUN
ejpam-1597	620	20	are	be	AUX
ejpam-1597	620	21	summarized	summarize	VERB
ejpam-1597	620	22	in	in	ADP
ejpam-1597	620	23	table	table	NOUN
ejpam-1597	620	24	8	8	NUM
ejpam-1597	620	25	.	.	PUNCT
ejpam-1597	621	1	while	while	SCONJ
ejpam-1597	621	2	the	the	DET
ejpam-1597	621	3	number	number	NOUN
ejpam-1597	621	4	of	of	ADP
ejpam-1597	621	5	possible	possible	ADJ
ejpam-1597	621	6	models	model	NOUN
ejpam-1597	621	7	grows	grow	VERB
ejpam-1597	621	8	exponentially	exponentially	ADV
ejpam-1597	621	9	,	,	PUNCT
ejpam-1597	621	10	the	the	DET
ejpam-1597	621	11	number	number	NOUN
ejpam-1597	621	12	of	of	ADP
ejpam-1597	621	13	models	model	NOUN
ejpam-1597	621	14	evaluated	evaluate	VERB
ejpam-1597	621	15	only	only	ADV
ejpam-1597	621	16	grows	grow	VERB
ejpam-1597	621	17	linearly	linearly	ADV
ejpam-1597	621	18	.	.	PUNCT
ejpam-1597	622	1	note	note	VERB
ejpam-1597	622	2	also	also	ADV
ejpam-1597	622	3	how	how	SCONJ
ejpam-1597	622	4	well	well	ADV
ejpam-1597	622	5	the	the	DET
ejpam-1597	622	6	ga	ga	PROPN
ejpam-1597	622	7	seems	seem	VERB
ejpam-1597	622	8	to	to	PART
ejpam-1597	622	9	scale	scale	VERB
ejpam-1597	622	10	in	in	ADP
ejpam-1597	622	11	regard	regard	NOUN
ejpam-1597	622	12	to	to	ADP
ejpam-1597	622	13	computation	computation	NOUN
ejpam-1597	622	14	time	time	NOUN
ejpam-1597	622	15	.	.	PUNCT
ejpam-1597	623	1	a	a	DET
ejpam-1597	623	2	5	5	NUM
ejpam-1597	623	3	-	-	ADJ
ejpam-1597	623	4	fold	fold	ADJ
ejpam-1597	623	5	increase	increase	NOUN
ejpam-1597	623	6	in	in	ADP
ejpam-1597	623	7	q	q	NOUN
ejpam-1597	623	8	only	only	ADV
ejpam-1597	623	9	leads	lead	VERB
ejpam-1597	623	10	to	to	ADP
ejpam-1597	623	11	something	something	PRON
ejpam-1597	623	12	like	like	ADP
ejpam-1597	623	13	a	a	DET
ejpam-1597	623	14	4	4	NUM
ejpam-1597	623	15	-	-	ADJ
ejpam-1597	623	16	fold	fold	ADJ
ejpam-1597	623	17	increase	increase	NOUN
ejpam-1597	623	18	in	in	ADP
ejpam-1597	623	19	time	time	NOUN
ejpam-1597	623	20	.	.	PUNCT
ejpam-1597	624	1	keep	keep	VERB
ejpam-1597	624	2	in	in	ADP
ejpam-1597	624	3	mind	mind	NOUN
ejpam-1597	624	4	,	,	PUNCT
ejpam-1597	624	5	of	of	ADP
ejpam-1597	624	6	course	course	NOUN
ejpam-1597	624	7	,	,	PUNCT
ejpam-1597	624	8	that	that	SCONJ
ejpam-1597	624	9	the	the	DET
ejpam-1597	624	10	number	number	NOUN
ejpam-1597	624	11	of	of	ADP
ejpam-1597	624	12	unique	unique	ADJ
ejpam-1597	624	13	models	model	NOUN
ejpam-1597	624	14	evaluated	evaluate	VERB
ejpam-1597	624	15	was	be	AUX
ejpam-1597	624	16	actually	actually	ADV
ejpam-1597	624	17	much	much	ADV
ejpam-1597	624	18	less	less	ADJ
ejpam-1597	624	19	than	than	SCONJ
ejpam-1597	624	20	shown	show	VERB
ejpam-1597	624	21	.	.	PUNCT
ejpam-1597	625	1	additionally	additionally	ADV
ejpam-1597	625	2	,	,	PUNCT
ejpam-1597	625	3	the	the	DET
ejpam-1597	625	4	ga	ga	PROPN
ejpam-1597	625	5	was	be	AUX
ejpam-1597	625	6	artificially	artificially	ADV
ejpam-1597	625	7	constrained	constrain	VERB
ejpam-1597	625	8	to	to	PART
ejpam-1597	625	9	not	not	PART
ejpam-1597	625	10	allow	allow	VERB
ejpam-1597	625	11	early	early	ADJ
ejpam-1597	625	12	termination	termination	NOUN
ejpam-1597	625	13	.	.	PUNCT
ejpam-1597	626	1	thus	thus	ADV
ejpam-1597	626	2	,	,	PUNCT
ejpam-1597	626	3	the	the	DET
ejpam-1597	626	4	times	time	NOUN
ejpam-1597	626	5	are	be	AUX
ejpam-1597	626	6	most	most	ADV
ejpam-1597	626	7	likely	likely	ADV
ejpam-1597	626	8	inflated	inflate	VERB
ejpam-1597	626	9	from	from	ADP
ejpam-1597	626	10	what	what	PRON
ejpam-1597	626	11	they	they	PRON
ejpam-1597	626	12	would	would	AUX
ejpam-1597	626	13	be	be	AUX
ejpam-1597	626	14	in	in	ADP
ejpam-1597	626	15	practical	practical	ADJ
ejpam-1597	626	16	use	use	NOUN
ejpam-1597	626	17	.	.	PUNCT
ejpam-1597	627	1	these	these	DET
ejpam-1597	627	2	results	result	NOUN
ejpam-1597	627	3	were	be	AUX
ejpam-1597	627	4	obtained	obtain	VERB
ejpam-1597	627	5	using	use	VERB
ejpam-1597	627	6	our	our	PRON
ejpam-1597	627	7	own	own	ADJ
ejpam-1597	627	8	software	software	NOUN
ejpam-1597	627	9	written	write	VERB
ejpam-1597	627	10	for	for	ADP
ejpam-1597	627	11	mathworks	mathworks	PROPN
ejpam-1597	627	12	matlab	matlab	PROPN
ejpam-1597	627	13	®	®	PROPN
ejpam-1597	627	14	,	,	PUNCT
ejpam-1597	627	15	on	on	ADP
ejpam-1597	627	16	a	a	DET
ejpam-1597	627	17	non	non	ADJ
ejpam-1597	627	18	-	-	ADJ
ejpam-1597	627	19	dedicated	dedicated	ADJ
ejpam-1597	627	20	windows	window	NOUN
ejpam-1597	627	21	xp	xp	INTJ
ejpam-1597	627	22	pc	pc	VERB
ejpam-1597	627	23	with	with	ADP
ejpam-1597	627	24	a	a	DET
ejpam-1597	627	25	3.4	3.4	NUM
ejpam-1597	627	26	h.	h.	NOUN
ejpam-1597	627	27	bozdogan	bozdogan	PROPN
ejpam-1597	627	28	,	,	PUNCT
ejpam-1597	627	29	j.	j.	PROPN
ejpam-1597	627	30	howe	howe	PROPN
ejpam-1597	627	31	/	/	SYM
ejpam-1597	627	32	eur	eur	PROPN
ejpam-1597	627	33	.	.	PUNCT
ejpam-1597	628	1	j.	j.	PROPN
ejpam-1597	628	2	pure	pure	PROPN
ejpam-1597	628	3	appl	appl	PROPN
ejpam-1597	628	4	.	.	PROPN
ejpam-1597	628	5	math	math	PROPN
ejpam-1597	628	6	,	,	PUNCT
ejpam-1597	628	7	5	5	NUM
ejpam-1597	628	8	(	(	PUNCT
ejpam-1597	628	9	2012	2012	NUM
ejpam-1597	628	10	)	)	PUNCT
ejpam-1597	628	11	,	,	PUNCT
ejpam-1597	628	12	211	211	NUM
ejpam-1597	628	13	-	-	SYM
ejpam-1597	628	14	249	249	NUM
ejpam-1597	628	15	240table	240table	NUM
ejpam-1597	628	16	8	8	NUM
ejpam-1597	628	17	:	:	PUNCT
ejpam-1597	628	18	timing	time	VERB
ejpam-1597	628	19	test	test	NOUN
ejpam-1597	628	20	results	result	NOUN
ejpam-1597	628	21	.	.	PUNCT
ejpam-1597	629	1	q	q	X
ejpam-1597	630	1	p	p	ADJ
ejpam-1597	630	2	possible	possible	ADJ
ejpam-1597	630	3	models	model	NOUN
ejpam-1597	630	4	models	model	NOUN
ejpam-1597	630	5	evaluated	evaluate	VERB
ejpam-1597	630	6	per	per	ADP
ejpam-1597	630	7	simulation	simulation	NOUN
ejpam-1597	630	8	average	average	ADJ
ejpam-1597	630	9	time	time	NOUN
ejpam-1597	630	10	20	20	NUM
ejpam-1597	630	11	30	30	NUM
ejpam-1597	630	12	1,048,575	1,048,575	NUM
ejpam-1597	630	13	≤	≤	NUM
ejpam-1597	630	14	1,800	1,800	NUM
ejpam-1597	630	15	1.89s	1.89s	NUM
ejpam-1597	630	16	25	25	NUM
ejpam-1597	630	17	35	35	NUM
ejpam-1597	630	18	33,554,431	33,554,431	NUM
ejpam-1597	630	19	≤	≤	NUM
ejpam-1597	630	20	2,100	2,100	NUM
ejpam-1597	630	21	1.82s	1.82s	NUM
ejpam-1597	630	22	35	35	NUM
ejpam-1597	630	23	45	45	NUM
ejpam-1597	630	24	34,359,738,367	34,359,738,367	NUM
ejpam-1597	630	25	≤	≤	NUM
ejpam-1597	630	26	2,700	2,700	NUM
ejpam-1597	630	27	2.34s	2.34s	NUM
ejpam-1597	630	28	50	50	NUM
ejpam-1597	630	29	60	60	NUM
ejpam-1597	630	30	1,125,899,906,842,623	1,125,899,906,842,623	NUM
ejpam-1597	630	31	≤	≤	NUM
ejpam-1597	630	32	3,600	3,600	NUM
ejpam-1597	630	33	2.89s	2.89s	NUM
ejpam-1597	630	34	75	75	NUM
ejpam-1597	630	35	85	85	NUM
ejpam-1597	630	36	3.7779e22	3.7779e22	NUM
ejpam-1597	630	37	≤	≤	NUM
ejpam-1597	630	38	5,100	5,100	NUM
ejpam-1597	630	39	4.84s	4.84s	NUM
ejpam-1597	630	40	100	100	NUM
ejpam-1597	630	41	110	110	NUM
ejpam-1597	630	42	1.2677e30	1.2677e30	NUM
ejpam-1597	630	43	≤	≤	NOUN
ejpam-1597	630	44	6,600	6,600	NUM
ejpam-1597	630	45	7.99s	7.99s	NUM
ejpam-1597	630	46	ghz	ghz	NOUN
ejpam-1597	630	47	processor	processor	NOUN
ejpam-1597	630	48	and	and	CCONJ
ejpam-1597	630	49	2	2	NUM
ejpam-1597	630	50	gb	gb	NOUN
ejpam-1597	630	51	of	of	ADP
ejpam-1597	630	52	ram	ram	NOUN
ejpam-1597	630	53	while	while	SCONJ
ejpam-1597	630	54	many	many	ADJ
ejpam-1597	630	55	other	other	ADJ
ejpam-1597	630	56	processes	process	NOUN
ejpam-1597	630	57	were	be	AUX
ejpam-1597	630	58	running	run	VERB
ejpam-1597	630	59	.	.	PUNCT
ejpam-1597	631	1	7.4	7.4	NUM
ejpam-1597	631	2	.	.	PUNCT
ejpam-1597	632	1	real	real	ADJ
ejpam-1597	632	2	data	datum	NOUN
ejpam-1597	632	3	body	body	NOUN
ejpam-1597	632	4	fat	fat	NOUN
ejpam-1597	632	5	measurement	measurement	NOUN
ejpam-1597	632	6	the	the	DET
ejpam-1597	632	7	first	first	ADJ
ejpam-1597	632	8	real	real	ADJ
ejpam-1597	632	9	dataset	dataset	NOUN
ejpam-1597	632	10	to	to	PART
ejpam-1597	632	11	be	be	AUX
ejpam-1597	632	12	analyzed	analyze	VERB
ejpam-1597	632	13	was	be	AUX
ejpam-1597	632	14	the	the	DET
ejpam-1597	632	15	familiar	familiar	ADJ
ejpam-1597	632	16	body	body	NOUN
ejpam-1597	632	17	fat	fat	NOUN
ejpam-1597	632	18	dataset	dataset	VERB
ejpam-1597	632	19	this	this	DET
ejpam-1597	632	20	data	data	NOUN
ejpam-1597	632	21	is	be	AUX
ejpam-1597	632	22	composed	compose	VERB
ejpam-1597	632	23	of	of	ADP
ejpam-1597	632	24	body	body	NOUN
ejpam-1597	632	25	measurement	measurement	NOUN
ejpam-1597	632	26	observations	observation	NOUN
ejpam-1597	632	27	from	from	ADP
ejpam-1597	632	28	n	n	NOUN
ejpam-1597	632	29	=	=	NUM
ejpam-1597	632	30	252	252	NUM
ejpam-1597	632	31	men	man	NOUN
ejpam-1597	632	32	.	.	PUNCT
ejpam-1597	633	1	there	there	PRON
ejpam-1597	633	2	are	be	VERB
ejpam-1597	633	3	p	p	NOUN
ejpam-1597	633	4	=	=	SYM
ejpam-1597	633	5	2	2	NUM
ejpam-1597	633	6	responses	response	NOUN
ejpam-1597	633	7	and	and	CCONJ
ejpam-1597	633	8	q	q	NOUN
ejpam-1597	633	9	=	=	SYM
ejpam-1597	633	10	13	13	NUM
ejpam-1597	633	11	regressors	regressor	NOUN
ejpam-1597	633	12	,	,	PUNCT
ejpam-1597	633	13	listed	list	VERB
ejpam-1597	633	14	in	in	ADP
ejpam-1597	633	15	table	table	NOUN
ejpam-1597	633	16	9	9	NUM
ejpam-1597	633	17	.	.	PUNCT
ejpam-1597	633	18	where	where	SCONJ
ejpam-1597	633	19	not	not	PART
ejpam-1597	633	20	specified	specify	VERB
ejpam-1597	633	21	,	,	PUNCT
ejpam-1597	633	22	measurements	measurement	NOUN
ejpam-1597	633	23	are	be	AUX
ejpam-1597	633	24	in	in	ADP
ejpam-1597	633	25	centimeters	centimeter	NOUN
ejpam-1597	633	26	.	.	PUNCT
ejpam-1597	634	1	accurately	accurately	ADV
ejpam-1597	634	2	measuring	measure	VERB
ejpam-1597	634	3	body	body	NOUN
ejpam-1597	634	4	composition	composition	NOUN
ejpam-1597	634	5	,	,	PUNCT
ejpam-1597	634	6	and	and	CCONJ
ejpam-1597	634	7	specifically	specifically	ADV
ejpam-1597	634	8	the	the	DET
ejpam-1597	634	9	percentage	percentage	NOUN
ejpam-1597	634	10	that	that	PRON
ejpam-1597	634	11	is	be	AUX
ejpam-1597	634	12	fat	fat	ADJ
ejpam-1597	634	13	,	,	PUNCT
ejpam-1597	634	14	is	be	AUX
ejpam-1597	634	15	an	an	DET
ejpam-1597	634	16	inconvenient	inconvenient	ADJ
ejpam-1597	634	17	and	and	CCONJ
ejpam-1597	634	18	costly	costly	ADJ
ejpam-1597	634	19	procedure	procedure	NOUN
ejpam-1597	634	20	.	.	PUNCT
ejpam-1597	635	1	a	a	DET
ejpam-1597	635	2	method	method	NOUN
ejpam-1597	635	3	for	for	ADP
ejpam-1597	635	4	accurately	accurately	ADV
ejpam-1597	635	5	computing	compute	VERB
ejpam-1597	635	6	these	these	DET
ejpam-1597	635	7	amounts	amount	NOUN
ejpam-1597	635	8	from	from	ADP
ejpam-1597	635	9	simple	simple	ADJ
ejpam-1597	635	10	body	body	NOUN
ejpam-1597	635	11	measurements	measurement	NOUN
ejpam-1597	635	12	without	without	ADP
ejpam-1597	635	13	requiring	require	VERB
ejpam-1597	635	14	underwater	underwater	ADJ
ejpam-1597	635	15	weighing	weighing	NOUN
ejpam-1597	635	16	is	be	AUX
ejpam-1597	635	17	highly	highly	ADV
ejpam-1597	635	18	desirable.table	desirable.table	ADJ
ejpam-1597	635	19	9	9	NUM
ejpam-1597	635	20	:	:	PUNCT
ejpam-1597	635	21	body	body	NOUN
ejpam-1597	635	22	fat	fat	ADJ
ejpam-1597	635	23	dataset	dataset	NOUN
ejpam-1597	635	24	variables	variable	NOUN
ejpam-1597	635	25	.	.	PUNCT
ejpam-1597	636	1	y1	y1	NOUN
ejpam-1597	636	2	=	=	NOUN
ejpam-1597	636	3	body	body	NOUN
ejpam-1597	636	4	density	density	NOUN
ejpam-1597	636	5	(	(	PUNCT
ejpam-1597	636	6	gm	gm	PROPN
ejpam-1597	636	7	/	/	SYM
ejpam-1597	636	8	cm3	cm3	NOUN
ejpam-1597	636	9	)	)	PUNCT
ejpam-1597	636	10	y2	y2	NOUN
ejpam-1597	637	1	=	=	NUM
ejpam-1597	637	2	percent	percent	NOUN
ejpam-1597	637	3	body	body	NOUN
ejpam-1597	637	4	fat	fat	ADJ
ejpam-1597	637	5	from	from	ADP
ejpam-1597	637	6	siri	siri	NOUN
ejpam-1597	637	7	’s	’s	PART
ejpam-1597	637	8	equation	equation	NOUN
ejpam-1597	637	9	x0	x0	NOUN
ejpam-1597	638	1	=	=	PUNCT
ejpam-1597	638	2	constant	constant	ADJ
ejpam-1597	638	3	x7	x7	NOUN
ejpam-1597	639	1	=	=	NOUN
ejpam-1597	639	2	hip	hip	NOUN
ejpam-1597	639	3	circumference	circumference	NOUN
ejpam-1597	639	4	x1	x1	PROPN
ejpam-1597	640	1	=	=	NOUN
ejpam-1597	640	2	age	age	NOUN
ejpam-1597	640	3	(	(	PUNCT
ejpam-1597	640	4	yrs	yr	NOUN
ejpam-1597	640	5	)	)	PUNCT
ejpam-1597	640	6	x8	x8	PROPN
ejpam-1597	641	1	=	=	NOUN
ejpam-1597	641	2	thigh	thigh	NOUN
ejpam-1597	641	3	circumference	circumference	NOUN
ejpam-1597	641	4	x2	x2	PUNCT
ejpam-1597	642	1	=	=	NOUN
ejpam-1597	642	2	weight	weight	NOUN
ejpam-1597	642	3	(	(	PUNCT
ejpam-1597	642	4	lbs	lbs	NOUN
ejpam-1597	642	5	)	)	PUNCT
ejpam-1597	642	6	x9	x9	NOUN
ejpam-1597	643	1	=	=	NOUN
ejpam-1597	643	2	knee	knee	NOUN
ejpam-1597	643	3	circumference	circumference	NOUN
ejpam-1597	643	4	x3	x3	NOUN
ejpam-1597	644	1	=	=	NOUN
ejpam-1597	644	2	height	height	NOUN
ejpam-1597	644	3	(	(	PUNCT
ejpam-1597	644	4	in	in	ADP
ejpam-1597	644	5	)	)	PUNCT
ejpam-1597	644	6	x10	x10	NOUN
ejpam-1597	645	1	=	=	NOUN
ejpam-1597	645	2	ankle	ankle	NOUN
ejpam-1597	645	3	circumference	circumference	NOUN
ejpam-1597	645	4	x4	x4	PROPN
ejpam-1597	646	1	=	=	NOUN
ejpam-1597	646	2	neck	neck	NOUN
ejpam-1597	646	3	circumference	circumference	NOUN
ejpam-1597	646	4	x11	x11	NOUN
ejpam-1597	647	1	=	=	NOUN
ejpam-1597	647	2	extended	extend	VERB
ejpam-1597	647	3	biceps	bicep	NOUN
ejpam-1597	647	4	circumference	circumference	NOUN
ejpam-1597	647	5	x5	x5	PROPN
ejpam-1597	647	6	=	=	NOUN
ejpam-1597	647	7	chest	chest	NOUN
ejpam-1597	647	8	circumference	circumference	NOUN
ejpam-1597	647	9	x12	x12	NUM
ejpam-1597	648	1	=	=	NOUN
ejpam-1597	648	2	forearm	forearm	NOUN
ejpam-1597	648	3	circumference	circumference	NOUN
ejpam-1597	648	4	x6	x6	PROPN
ejpam-1597	648	5	=	=	NOUN
ejpam-1597	648	6	abdomen	abdomen	ADJ
ejpam-1597	648	7	2	2	NUM
ejpam-1597	648	8	circumference	circumference	NOUN
ejpam-1597	648	9	x13	x13	NOUN
ejpam-1597	648	10	=	=	NOUN
ejpam-1597	648	11	wrist	wrist	NOUN
ejpam-1597	648	12	circumference	circumference	NOUN
ejpam-1597	648	13	we	we	PRON
ejpam-1597	648	14	first	first	ADV
ejpam-1597	648	15	ran	run	VERB
ejpam-1597	648	16	the	the	DET
ejpam-1597	648	17	genetic	genetic	ADJ
ejpam-1597	648	18	algorithm	algorithm	NOUN
ejpam-1597	648	19	with	with	ADP
ejpam-1597	648	20	population	population	NOUN
ejpam-1597	648	21	size	size	NOUN
ejpam-1597	648	22	=	=	SYM
ejpam-1597	648	23	20	20	NUM
ejpam-1597	648	24	,	,	PUNCT
ejpam-1597	648	25	using	use	VERB
ejpam-1597	648	26	the	the	DET
ejpam-1597	648	27	icom	icom	PROPN
ejpam-1597	648	28	p(f̂−1	p(f̂−1	PROPN
ejpam-1597	648	29	)	)	PUNCT
ejpam-1597	648	30	as	as	ADP
ejpam-1597	648	31	the	the	DET
ejpam-1597	648	32	objective	objective	ADJ
ejpam-1597	648	33	function	function	NOUN
ejpam-1597	648	34	.	.	PUNCT
ejpam-1597	649	1	in	in	ADP
ejpam-1597	649	2	both	both	DET
ejpam-1597	649	3	real	real	ADJ
ejpam-1597	649	4	datasets	dataset	NOUN
ejpam-1597	649	5	analyzed	analyze	VERB
ejpam-1597	649	6	in	in	ADP
ejpam-1597	649	7	this	this	DET
ejpam-1597	649	8	paper	paper	NOUN
ejpam-1597	649	9	,	,	PUNCT
ejpam-1597	649	10	we	we	PRON
ejpam-1597	649	11	opted	opt	VERB
ejpam-1597	649	12	not	not	PART
ejpam-1597	649	13	to	to	PART
ejpam-1597	649	14	use	use	VERB
ejpam-1597	649	15	sbc	sbc	NOUN
ejpam-1597	649	16	,	,	PUNCT
ejpam-1597	649	17	due	due	ADP
ejpam-1597	649	18	to	to	ADP
ejpam-1597	649	19	the	the	DET
ejpam-1597	649	20	fact	fact	NOUN
ejpam-1597	649	21	that	that	SCONJ
ejpam-1597	649	22	the	the	DET
ejpam-1597	649	23	sample	sample	NOUN
ejpam-1597	649	24	sizes	size	NOUN
ejpam-1597	649	25	are	be	AUX
ejpam-1597	649	26	small	small	ADJ
ejpam-1597	649	27	,	,	PUNCT
ejpam-1597	649	28	when	when	SCONJ
ejpam-1597	649	29	compared	compare	VERB
ejpam-1597	649	30	to	to	ADP
ejpam-1597	649	31	the	the	DET
ejpam-1597	649	32	n	n	NOUN
ejpam-1597	649	33	=	=	SYM
ejpam-1597	649	34	500	500	NUM
ejpam-1597	649	35	in	in	ADP
ejpam-1597	649	36	the	the	DET
ejpam-1597	649	37	simulations	simulation	NOUN
ejpam-1597	649	38	.	.	PUNCT
ejpam-1597	650	1	given	give	VERB
ejpam-1597	650	2	that	that	SCONJ
ejpam-1597	650	3	its	its	PRON
ejpam-1597	650	4	consistency	consistency	NOUN
ejpam-1597	650	5	appears	appear	VERB
ejpam-1597	650	6	to	to	PART
ejpam-1597	650	7	depend	depend	VERB
ejpam-1597	650	8	on	on	ADP
ejpam-1597	650	9	the	the	DET
ejpam-1597	650	10	type	type	NOUN
ejpam-1597	650	11	of	of	ADP
ejpam-1597	650	12	departure	departure	NOUN
ejpam-1597	650	13	from	from	ADP
ejpam-1597	650	14	normality	normality	NOUN
ejpam-1597	650	15	,	,	PUNCT
ejpam-1597	650	16	it	it	PRON
ejpam-1597	650	17	seems	seem	VERB
ejpam-1597	650	18	dangerous	dangerous	ADJ
ejpam-1597	650	19	to	to	PART
ejpam-1597	650	20	use	use	VERB
ejpam-1597	650	21	unless	unless	SCONJ
ejpam-1597	650	22	with	with	ADP
ejpam-1597	650	23	very	very	ADV
ejpam-1597	650	24	large	large	ADJ
ejpam-1597	650	25	datasets	dataset	NOUN
ejpam-1597	650	26	.	.	PUNCT
ejpam-1597	651	1	minimizing	minimize	VERB
ejpam-1597	651	2	icom	icom	PROPN
ejpam-1597	651	3	p	p	PROPN
ejpam-1597	651	4	led	lead	VERB
ejpam-1597	651	5	to	to	ADP
ejpam-1597	651	6	the	the	DET
ejpam-1597	651	7	best	good	ADJ
ejpam-1597	651	8	model	model	NOUN
ejpam-1597	651	9	being	be	AUX
ejpam-1597	651	10	:	:	PUNCT
ejpam-1597	651	11	a	a	DET
ejpam-1597	651	12	constant	constant	ADJ
ejpam-1597	651	13	,	,	PUNCT
ejpam-1597	651	14	weight	weight	NOUN
ejpam-1597	651	15	,	,	PUNCT
ejpam-1597	651	16	and	and	CCONJ
ejpam-1597	651	17	abdomen	abdomen	VERB
ejpam-1597	651	18	2	2	NUM
ejpam-1597	651	19	circumference	circumference	NOUN
ejpam-1597	651	20	,	,	PUNCT
ejpam-1597	651	21	with	with	ADP
ejpam-1597	651	22	the	the	DET
ejpam-1597	651	23	estimated	estimate	VERB
ejpam-1597	651	24	coefficients	coefficient	NOUN
ejpam-1597	651	25	shown	show	VERB
ejpam-1597	651	26	in	in	ADP
ejpam-1597	651	27	table	table	NOUN
ejpam-1597	651	28	10	10	NUM
ejpam-1597	651	29	.	.	PUNCT
ejpam-1597	652	1	the	the	DET
ejpam-1597	652	2	icom	icom	PROPN
ejpam-1597	652	3	p	p	PROPN
ejpam-1597	652	4	score	score	NOUN
ejpam-1597	652	5	for	for	ADP
ejpam-1597	652	6	this	this	DET
ejpam-1597	652	7	model	model	NOUN
ejpam-1597	652	8	was	be	AUX
ejpam-1597	652	9	−644.36	−644.36	VERB
ejpam-1597	652	10	.	.	PUNCT
ejpam-1597	653	1	from	from	ADP
ejpam-1597	653	2	the	the	DET
ejpam-1597	653	3	univariate	univariate	ADJ
ejpam-1597	653	4	plots	plot	NOUN
ejpam-1597	653	5	of	of	ADP
ejpam-1597	653	6	the	the	DET
ejpam-1597	653	7	residuals	residual	NOUN
ejpam-1597	653	8	in	in	ADP
ejpam-1597	653	9	figures	figure	NOUN
ejpam-1597	653	10	7	7	NUM
ejpam-1597	653	11	and	and	CCONJ
ejpam-1597	653	12	8	8	NUM
ejpam-1597	653	13	,	,	PUNCT
ejpam-1597	653	14	it	it	PRON
ejpam-1597	653	15	appears	appear	VERB
ejpam-1597	653	16	that	that	SCONJ
ejpam-1597	653	17	the	the	DET
ejpam-1597	653	18	normality	normality	NOUN
ejpam-1597	653	19	assumption	assumption	NOUN
ejpam-1597	653	20	is	be	AUX
ejpam-1597	653	21	mostly	mostly	ADV
ejpam-1597	653	22	justified	justify	VERB
ejpam-1597	653	23	,	,	PUNCT
ejpam-1597	653	24	with	with	ADP
ejpam-1597	653	25	only	only	ADV
ejpam-1597	653	26	slightly	slightly	ADV
ejpam-1597	653	27	nonnormal	nonnormal	ADJ
ejpam-1597	653	28	tail	tail	NOUN
ejpam-1597	653	29	behavior	behavior	NOUN
ejpam-1597	653	30	.	.	PUNCT
ejpam-1597	654	1	however	however	ADV
ejpam-1597	654	2	,	,	PUNCT
ejpam-1597	654	3	looking	look	VERB
ejpam-1597	654	4	at	at	ADP
ejpam-1597	654	5	the	the	DET
ejpam-1597	654	6	plots	plot	NOUN
ejpam-1597	654	7	of	of	ADP
ejpam-1597	654	8	each	each	DET
ejpam-1597	654	9	dimension	dimension	NOUN
ejpam-1597	654	10	separately	separately	ADV
ejpam-1597	654	11	disguises	disguise	VERB
ejpam-1597	654	12	the	the	DET
ejpam-1597	654	13	truth	truth	NOUN
ejpam-1597	654	14	that	that	PRON
ejpam-1597	654	15	we	we	PRON
ejpam-1597	654	16	can	can	AUX
ejpam-1597	654	17	discover	discover	VERB
ejpam-1597	654	18	empirically	empirically	ADV
ejpam-1597	654	19	.	.	PUNCT
ejpam-1597	655	1	using	use	VERB
ejpam-1597	655	2	the	the	DET
ejpam-1597	655	3	tests	test	NOUN
ejpam-1597	655	4	for	for	ADP
ejpam-1597	655	5	multivariate	multivariate	NOUN
ejpam-1597	655	6	gaussian	gaussian	ADJ
ejpam-1597	655	7	skewness	skewness	NOUN
ejpam-1597	655	8	and	and	CCONJ
ejpam-1597	655	9	kurtosis	kurtosis	NOUN
ejpam-1597	655	10	of	of	ADP
ejpam-1597	655	11	[	[	X
ejpam-1597	655	12	29	29	NUM
ejpam-1597	655	13	]	]	PUNCT
ejpam-1597	655	14	,	,	PUNCT
ejpam-1597	655	15	this	this	DET
ejpam-1597	655	16	assumption	assumption	NOUN
ejpam-1597	655	17	does	do	AUX
ejpam-1597	655	18	not	not	PART
ejpam-1597	655	19	appear	appear	VERB
ejpam-1597	655	20	to	to	ADP
ejpam-1597	655	21	h.	h.	PROPN
ejpam-1597	655	22	bozdogan	bozdogan	PROPN
ejpam-1597	655	23	,	,	PUNCT
ejpam-1597	655	24	j.	j.	PROPN
ejpam-1597	655	25	howe	howe	PROPN
ejpam-1597	655	26	/	/	SYM
ejpam-1597	655	27	eur	eur	PROPN
ejpam-1597	655	28	.	.	PUNCT
ejpam-1597	656	1	j.	j.	PROPN
ejpam-1597	656	2	pure	pure	PROPN
ejpam-1597	656	3	appl	appl	PROPN
ejpam-1597	656	4	.	.	PROPN
ejpam-1597	656	5	math	math	PROPN
ejpam-1597	656	6	,	,	PUNCT
ejpam-1597	656	7	5	5	NUM
ejpam-1597	656	8	(	(	PUNCT
ejpam-1597	656	9	2012	2012	NUM
ejpam-1597	656	10	)	)	PUNCT
ejpam-1597	656	11	,	,	PUNCT
ejpam-1597	656	12	211	211	NUM
ejpam-1597	656	13	-	-	SYM
ejpam-1597	656	14	249	249	NUM
ejpam-1597	656	15	241	241	NUM
ejpam-1597	656	16	−0.05	−0.05	ADV
ejpam-1597	656	17	0	0	NUM
ejpam-1597	656	18	0.05	0.05	NUM
ejpam-1597	656	19	0	0	NUM
ejpam-1597	656	20	10	10	NUM
ejpam-1597	656	21	20	20	NUM
ejpam-1597	656	22	30	30	NUM
ejpam-1597	656	23	40	40	NUM
ejpam-1597	656	24	d	d	NUM
ejpam-1597	656	25	en	en	ADP
ejpam-1597	656	26	si	si	X
ejpam-1597	657	1	ty	ty	INTJ
ejpam-1597	657	2	r	r	NOUN
ejpam-1597	657	3	es	es	X
ejpam-1597	657	4	i	i	PROPN
ejpam-1597	657	5	d	d	PROPN
ejpam-1597	657	6	ua	ua	PROPN
ejpam-1597	657	7	ls	ls	X
ejpam-1597	657	8	−4	−4	X
ejpam-1597	658	1	−2	−2	NOUN
ejpam-1597	658	2	0	0	NUM
ejpam-1597	658	3	2	2	NUM
ejpam-1597	658	4	4	4	NUM
ejpam-1597	658	5	−0.04	−0.04	NOUN
ejpam-1597	658	6	−0.02	−0.02	NOUN
ejpam-1597	658	7	0	0	NUM
ejpam-1597	658	8	0.02	0.02	NUM
ejpam-1597	658	9	0.04	0.04	NUM
ejpam-1597	658	10	0.06	0.06	NUM
ejpam-1597	658	11	n(µ=0,σ=1	n(µ=0,σ=1	NOUN
ejpam-1597	658	12	)	)	PUNCT
ejpam-1597	658	13	quantilesfigure	quantilesfigure	NOUN
ejpam-1597	658	14	7	7	NUM
ejpam-1597	658	15	:	:	PUNCT
ejpam-1597	658	16	residuals	residual	NOUN
ejpam-1597	658	17	from	from	ADP
ejpam-1597	658	18	the	the	DET
ejpam-1597	658	19	best	good	ADJ
ejpam-1597	658	20	model	model	NOUN
ejpam-1597	658	21	�	�	PROPN
ejpam-1597	658	22	t	t	PROPN
ejpam-1597	658	23	to	to	ADP
ejpam-1597	658	24	the	the	DET
ejpam-1597	658	25	body	body	NOUN
ejpam-1597	658	26	fat	fat	NOUN
ejpam-1597	658	27	data	datum	NOUN
ejpam-1597	658	28	y1	y1	PROPN
ejpam-1597	658	29	.	.	PUNCT
ejpam-1597	659	1	−20	−20	PROPN
ejpam-1597	659	2	−10	−10	X
ejpam-1597	659	3	0	0	NUM
ejpam-1597	659	4	10	10	NUM
ejpam-1597	660	1	20	20	NUM
ejpam-1597	660	2	0	0	NUM
ejpam-1597	660	3	0.02	0.02	NUM
ejpam-1597	660	4	0.04	0.04	NUM
ejpam-1597	660	5	0.06	0.06	NUM
ejpam-1597	660	6	0.08	0.08	NUM
ejpam-1597	660	7	0.1	0.1	NUM
ejpam-1597	660	8	%	%	NOUN
ejpam-1597	660	9	b	b	PROPN
ejpam-1597	660	10	od	od	NOUN
ejpam-1597	660	11	y	y	PROPN
ejpam-1597	660	12	f	f	PROPN
ejpam-1597	660	13	at	at	ADP
ejpam-1597	660	14	r	r	NOUN
ejpam-1597	660	15	es	es	X
ejpam-1597	660	16	i	i	PROPN
ejpam-1597	660	17	d	d	PROPN
ejpam-1597	660	18	ua	ua	PROPN
ejpam-1597	660	19	ls	ls	X
ejpam-1597	660	20	−4	−4	X
ejpam-1597	660	21	−2	−2	NOUN
ejpam-1597	660	22	0	0	NUM
ejpam-1597	660	23	2	2	NUM
ejpam-1597	660	24	4	4	NUM
ejpam-1597	660	25	−15	−15	NOUN
ejpam-1597	660	26	−10	−10	X
ejpam-1597	660	27	−5	−5	ADV
ejpam-1597	660	28	0	0	NUM
ejpam-1597	660	29	5	5	NUM
ejpam-1597	660	30	10	10	NUM
ejpam-1597	660	31	15	15	NUM
ejpam-1597	660	32	n(µ=0,σ=1	n(µ=0,σ=1	NOUN
ejpam-1597	660	33	)	)	PUNCT
ejpam-1597	660	34	quantilesfigure	quantilesfigure	NOUN
ejpam-1597	660	35	8	8	NUM
ejpam-1597	660	36	:	:	PUNCT
ejpam-1597	660	37	residuals	residual	NOUN
ejpam-1597	660	38	from	from	ADP
ejpam-1597	660	39	the	the	DET
ejpam-1597	660	40	best	good	ADJ
ejpam-1597	660	41	model	model	NOUN
ejpam-1597	660	42	�	�	PROPN
ejpam-1597	660	43	t	t	PROPN
ejpam-1597	660	44	to	to	ADP
ejpam-1597	660	45	the	the	DET
ejpam-1597	660	46	body	body	NOUN
ejpam-1597	660	47	fat	fat	NOUN
ejpam-1597	660	48	data	datum	NOUN
ejpam-1597	661	1	y2	y2	PROPN
ejpam-1597	661	2	.	.	PUNCT
ejpam-1597	662	1	be	be	AUX
ejpam-1597	662	2	justified	justify	VERB
ejpam-1597	662	3	.	.	PUNCT
ejpam-1597	663	1	in	in	ADP
ejpam-1597	663	2	the	the	DET
ejpam-1597	663	3	case	case	NOUN
ejpam-1597	663	4	of	of	ADP
ejpam-1597	663	5	multivariate	multivariate	NOUN
ejpam-1597	663	6	normality	normality	NOUN
ejpam-1597	663	7	,	,	PUNCT
ejpam-1597	663	8	the	the	DET
ejpam-1597	663	9	theoretical	theoretical	ADJ
ejpam-1597	663	10	population	population	NOUN
ejpam-1597	663	11	skewness	skewness	NOUN
ejpam-1597	663	12	and	and	CCONJ
ejpam-1597	663	13	kurtosis	kurtosis	VERB
ejpam-1597	663	14	parameters	parameter	NOUN
ejpam-1597	663	15	are	be	AUX
ejpam-1597	663	16	respectively	respectively	ADV
ejpam-1597	663	17	β1	β1	VERB
ejpam-1597	663	18	=	=	SYM
ejpam-1597	663	19	0	0	NUM
ejpam-1597	663	20	and	and	CCONJ
ejpam-1597	663	21	β2	β2	NOUN
ejpam-1597	663	22	=	=	SYM
ejpam-1597	663	23	p(p+	p(p+	PROPN
ejpam-1597	663	24	2	2	NUM
ejpam-1597	663	25	)	)	PUNCT
ejpam-1597	663	26	,	,	PUNCT
ejpam-1597	663	27	or	or	CCONJ
ejpam-1597	663	28	β2	β2	NOUN
ejpam-1597	663	29	=	=	NOUN
ejpam-1597	663	30	8	8	NUM
ejpam-1597	663	31	for	for	ADP
ejpam-1597	663	32	p	p	NOUN
ejpam-1597	663	33	=	=	SYM
ejpam-1597	663	34	2	2	NUM
ejpam-1597	663	35	.	.	PUNCT
ejpam-1597	663	36	mardia	mardia	PROPN
ejpam-1597	663	37	’s	’s	PART
ejpam-1597	663	38	sample	sample	NOUN
ejpam-1597	663	39	values	value	NOUN
ejpam-1597	663	40	can	can	AUX
ejpam-1597	663	41	be	be	AUX
ejpam-1597	663	42	computed	compute	VERB
ejpam-1597	663	43	as	as	ADP
ejpam-1597	663	44	in	in	ADP
ejpam-1597	663	45	(	(	PUNCT
ejpam-1597	663	46	87	87	NUM
ejpam-1597	663	47	)	)	PUNCT
ejpam-1597	663	48	and	and	CCONJ
ejpam-1597	663	49	(	(	PUNCT
ejpam-1597	663	50	88	88	NUM
ejpam-1597	663	51	)	)	PUNCT
ejpam-1597	663	52	.	.	PUNCT
ejpam-1597	664	1	β̂1	β̂1	PUNCT
ejpam-1597	665	1	=	=	SYM
ejpam-1597	665	2	1	1	NUM
ejpam-1597	665	3	n2	n2	PROPN
ejpam-1597	665	4	n∑	n∑	PROPN
ejpam-1597	665	5	i=1	i=1	PROPN
ejpam-1597	666	1	n∑	n∑	PROPN
ejpam-1597	666	2	j=1	j=1	PROPN
ejpam-1597	666	3	�	�	PROPN
ejpam-1597	666	4	(	(	PUNCT
ejpam-1597	666	5	yi	yi	NOUN
ejpam-1597	666	6	−	−	PROPN
ejpam-1597	667	1	y)σ̂−1(y	y)σ̂−1(y	PROPN
ejpam-1597	667	2	j	j	PROPN
ejpam-1597	667	3	−	−	PROPN
ejpam-1597	667	4	y)′	y)′	PROPN
ejpam-1597	667	5	�	�	PROPN
ejpam-1597	667	6	3	3	NUM
ejpam-1597	667	7	(	(	PUNCT
ejpam-1597	667	8	87	87	NUM
ejpam-1597	667	9	)	)	PUNCT
ejpam-1597	667	10	β̂2	β̂2	PUNCT
ejpam-1597	668	1	=	=	PUNCT
ejpam-1597	668	2	1	1	NUM
ejpam-1597	669	1	n	n	NUM
ejpam-1597	669	2	n∑	n∑	PROPN
ejpam-1597	669	3	i=1	i=1	PROPN
ejpam-1597	669	4	�	�	PROPN
ejpam-1597	669	5	(	(	PUNCT
ejpam-1597	669	6	yi	yi	NOUN
ejpam-1597	669	7	−	−	PROPN
ejpam-1597	669	8	y)σ̂−1(yi	y)σ̂−1(yi	NOUN
ejpam-1597	669	9	−	−	PROPN
ejpam-1597	669	10	y)′	y)′	PROPN
ejpam-1597	669	11	�	�	PROPN
ejpam-1597	669	12	2	2	NUM
ejpam-1597	669	13	(	(	PUNCT
ejpam-1597	669	14	88	88	NUM
ejpam-1597	669	15	)	)	PUNCT
ejpam-1597	669	16	to	to	PART
ejpam-1597	669	17	test	test	VERB
ejpam-1597	669	18	the	the	DET
ejpam-1597	669	19	null	null	ADJ
ejpam-1597	669	20	hypothesis	hypothesis	NOUN
ejpam-1597	669	21	h0	h0	NOUN
ejpam-1597	669	22	:	:	PUNCT
ejpam-1597	669	23	ε∼	ε∼	NOUN
ejpam-1597	669	24	np(µ,σ	np(µ,σ	NOUN
ejpam-1597	669	25	)	)	PUNCT
ejpam-1597	669	26	versus	versus	ADP
ejpam-1597	669	27	the	the	DET
ejpam-1597	669	28	alternative	alternative	NOUN
ejpam-1597	669	29	ha	ha	INTJ
ejpam-1597	669	30	:	:	PUNCT
ejpam-1597	669	31	ε≁	ε≁	NOUN
ejpam-1597	669	32	np(µ,σ	np(µ,σ	PROPN
ejpam-1597	669	33	)	)	PUNCT
ejpam-1597	669	34	,	,	PUNCT
ejpam-1597	669	35	we	we	PRON
ejpam-1597	669	36	form	form	VERB
ejpam-1597	669	37	the	the	DET
ejpam-1597	669	38	test	test	NOUN
ejpam-1597	669	39	statistics	statistic	NOUN
ejpam-1597	669	40	shown	show	VERB
ejpam-1597	669	41	here	here	ADV
ejpam-1597	669	42	;	;	PUNCT
ejpam-1597	669	43	the	the	DET
ejpam-1597	669	44	test	test	NOUN
ejpam-1597	669	45	is	be	AUX
ejpam-1597	669	46	one	one	NUM
ejpam-1597	669	47	-	-	PUNCT
ejpam-1597	669	48	sided	sided	ADJ
ejpam-1597	669	49	for	for	ADP
ejpam-1597	669	50	skewness	skewness	NOUN
ejpam-1597	669	51	,	,	PUNCT
ejpam-1597	669	52	while	while	SCONJ
ejpam-1597	669	53	the	the	DET
ejpam-1597	669	54	kurtosis	kurtosis	NOUN
ejpam-1597	669	55	test	test	NOUN
ejpam-1597	669	56	is	be	AUX
ejpam-1597	669	57	twotable	twotable	ADJ
ejpam-1597	669	58	10	10	NUM
ejpam-1597	669	59	:	:	PUNCT
ejpam-1597	669	60	estimated	estimate	VERB
ejpam-1597	669	61	regression	regression	NOUN
ejpam-1597	669	62	oe	oe	PROPN
ejpam-1597	669	63	�	�	PROPN
ejpam-1597	669	64	ients	ient	VERB
ejpam-1597	669	65	for	for	ADP
ejpam-1597	669	66	body	body	NOUN
ejpam-1597	669	67	fat	fat	ADJ
ejpam-1597	669	68	data	datum	NOUN
ejpam-1597	669	69	.	.	PUNCT
ejpam-1597	670	1	y1	y1	NOUN
ejpam-1597	670	2	y2	y2	PROPN
ejpam-1597	670	3	b0	b0	NOUN
ejpam-1597	670	4	1.202	1.202	NUM
ejpam-1597	670	5	−45.952	−45.952	NOUN
ejpam-1597	670	6	b2	b2	NOUN
ejpam-1597	670	7	0.0004	0.0004	NUM
ejpam-1597	670	8	−0.148	−0.148	NOUN
ejpam-1597	670	9	b6	b6	NOUN
ejpam-1597	670	10	−0.002	−0.002	NOUN
ejpam-1597	670	11	0.990	0.990	NUM
ejpam-1597	670	12	h.	h.	PROPN
ejpam-1597	670	13	bozdogan	bozdogan	PROPN
ejpam-1597	670	14	,	,	PUNCT
ejpam-1597	670	15	j.	j.	PROPN
ejpam-1597	670	16	howe	howe	PROPN
ejpam-1597	670	17	/	/	SYM
ejpam-1597	670	18	eur	eur	PROPN
ejpam-1597	670	19	.	.	PUNCT
ejpam-1597	671	1	j.	j.	PROPN
ejpam-1597	671	2	pure	pure	PROPN
ejpam-1597	671	3	appl	appl	PROPN
ejpam-1597	671	4	.	.	PROPN
ejpam-1597	671	5	math	math	PROPN
ejpam-1597	671	6	,	,	PUNCT
ejpam-1597	671	7	5	5	NUM
ejpam-1597	671	8	(	(	PUNCT
ejpam-1597	671	9	2012	2012	NUM
ejpam-1597	671	10	)	)	PUNCT
ejpam-1597	671	11	,	,	PUNCT
ejpam-1597	671	12	211	211	NUM
ejpam-1597	671	13	-	-	SYM
ejpam-1597	671	14	249	249	NUM
ejpam-1597	671	15	242	242	NUM
ejpam-1597	671	16	sided	sided	ADJ
ejpam-1597	671	17	.	.	PUNCT
ejpam-1597	672	1	thus	thus	ADV
ejpam-1597	672	2	,	,	PUNCT
ejpam-1597	672	3	the	the	DET
ejpam-1597	672	4	latter	latter	ADJ
ejpam-1597	672	5	test	test	NOUN
ejpam-1597	672	6	can	can	AUX
ejpam-1597	672	7	determine	determine	VERB
ejpam-1597	672	8	if	if	SCONJ
ejpam-1597	672	9	the	the	DET
ejpam-1597	672	10	data	datum	NOUN
ejpam-1597	672	11	exhibit	exhibit	VERB
ejpam-1597	672	12	higher	high	ADJ
ejpam-1597	672	13	or	or	CCONJ
ejpam-1597	672	14	lower	low	ADJ
ejpam-1597	672	15	peakedness	peakedness	NOUN
ejpam-1597	672	16	than	than	SCONJ
ejpam-1597	672	17	expected	expect	VERB
ejpam-1597	672	18	.	.	PUNCT
ejpam-1597	673	1	χ2∗	χ2∗	NUM
ejpam-1597	674	1	=	=	SYM
ejpam-1597	674	2	n	n	PRON
ejpam-1597	674	3	6	6	NUM
ejpam-1597	674	4	β̂1	β̂1	NOUN
ejpam-1597	674	5	∼	∼	NOUN
ejpam-1597	674	6	χ2	χ2	NOUN
ejpam-1597	674	7	(	(	PUNCT
ejpam-1597	674	8	p(p+	p(p+	PROPN
ejpam-1597	674	9	1)(p+	1)(p+	PROPN
ejpam-1597	674	10	2	2	NUM
ejpam-1597	674	11	)	)	PUNCT
ejpam-1597	674	12	6	6	NUM
ejpam-1597	674	13	)	)	PUNCT
ejpam-1597	674	14	(	(	PUNCT
ejpam-1597	674	15	89	89	NUM
ejpam-1597	674	16	)	)	PUNCT
ejpam-1597	674	17	z∗	z∗	NOUN
ejpam-1597	674	18	=	=	SYM
ejpam-1597	674	19	(	(	PUNCT
ejpam-1597	674	20	β̂2−	β̂2−	PROPN
ejpam-1597	674	21	β2)q	β2)q	PROPN
ejpam-1597	674	22	8p(p+2	8p(p+2	NUM
ejpam-1597	674	23	)	)	PUNCT
ejpam-1597	674	24	n	n	CCONJ
ejpam-1597	674	25	∼	∼	NOUN
ejpam-1597	674	26	n(0,1	n(0,1	NOUN
ejpam-1597	674	27	)	)	PUNCT
ejpam-1597	674	28	(	(	PUNCT
ejpam-1597	674	29	90	90	NUM
ejpam-1597	674	30	)	)	PUNCT
ejpam-1597	674	31	using	use	VERB
ejpam-1597	674	32	the	the	DET
ejpam-1597	674	33	residuals	residual	NOUN
ejpam-1597	674	34	from	from	ADP
ejpam-1597	674	35	this	this	DET
ejpam-1597	674	36	model	model	NOUN
ejpam-1597	674	37	,	,	PUNCT
ejpam-1597	674	38	β̂2	β̂2	PROPN
ejpam-1597	674	39	=	=	PUNCT
ejpam-1597	675	1	132.13	132.13	NUM
ejpam-1597	675	2	≫	≫	PROPN
ejpam-1597	675	3	8	8	NUM
ejpam-1597	675	4	,	,	PUNCT
ejpam-1597	675	5	indicating	indicate	VERB
ejpam-1597	675	6	substantial	substantial	ADJ
ejpam-1597	675	7	peakedness	peakedness	NOUN
ejpam-1597	675	8	;	;	PUNCT
ejpam-1597	675	9	the	the	DET
ejpam-1597	675	10	test	test	NOUN
ejpam-1597	675	11	statistic	statistic	NOUN
ejpam-1597	675	12	is	be	AUX
ejpam-1597	675	13	z∗	z∗	NOUN
ejpam-1597	675	14	=	=	PUNCT
ejpam-1597	675	15	246.32	246.32	NUM
ejpam-1597	675	16	,	,	PUNCT
ejpam-1597	675	17	and	and	CCONJ
ejpam-1597	675	18	the	the	DET
ejpam-1597	675	19	p	p	NOUN
ejpam-1597	675	20	-	-	PUNCT
ejpam-1597	675	21	value	value	NOUN
ejpam-1597	675	22	is	be	AUX
ejpam-1597	675	23	0.00000	0.00000	NUM
ejpam-1597	675	24	.	.	PUNCT
ejpam-1597	676	1	additionally	additionally	ADV
ejpam-1597	676	2	,	,	PUNCT
ejpam-1597	676	3	the	the	DET
ejpam-1597	676	4	sample	sample	NOUN
ejpam-1597	676	5	skewness	skewness	NOUN
ejpam-1597	676	6	value	value	NOUN
ejpam-1597	676	7	is	be	AUX
ejpam-1597	676	8	β̂1	β̂1	PUNCT
ejpam-1597	676	9	=	=	SYM
ejpam-1597	676	10	69.39	69.39	NUM
ejpam-1597	676	11	;	;	PUNCT
ejpam-1597	676	12	this	this	PRON
ejpam-1597	676	13	is	be	AUX
ejpam-1597	676	14	significantly	significantly	ADV
ejpam-1597	676	15	different	different	ADJ
ejpam-1597	676	16	(	(	PUNCT
ejpam-1597	676	17	p	p	NOUN
ejpam-1597	676	18	-	-	PUNCT
ejpam-1597	676	19	value=	value=	NUM
ejpam-1597	676	20	0.00000	0.00000	NUM
ejpam-1597	676	21	)	)	PUNCT
ejpam-1597	676	22	from	from	ADP
ejpam-1597	676	23	what	what	PRON
ejpam-1597	676	24	is	be	AUX
ejpam-1597	676	25	expected	expect	VERB
ejpam-1597	676	26	.	.	PUNCT
ejpam-1597	677	1	thus	thus	ADV
ejpam-1597	677	2	,	,	PUNCT
ejpam-1597	677	3	we	we	PRON
ejpam-1597	677	4	see	see	VERB
ejpam-1597	677	5	that	that	SCONJ
ejpam-1597	677	6	the	the	DET
ejpam-1597	677	7	residuals	residual	NOUN
ejpam-1597	677	8	from	from	ADP
ejpam-1597	677	9	this	this	DET
ejpam-1597	677	10	model	model	NOUN
ejpam-1597	677	11	are	be	AUX
ejpam-1597	677	12	not	not	PART
ejpam-1597	677	13	gaussian	gaussian	ADJ
ejpam-1597	677	14	white	white	ADJ
ejpam-1597	677	15	noise	noise	NOUN
ejpam-1597	677	16	.	.	PUNCT
ejpam-1597	678	1	in	in	ADP
ejpam-1597	678	2	light	light	NOUN
ejpam-1597	678	3	of	of	ADP
ejpam-1597	678	4	this	this	DET
ejpam-1597	678	5	information	information	NOUN
ejpam-1597	678	6	,	,	PUNCT
ejpam-1597	678	7	we	we	PRON
ejpam-1597	678	8	used	use	VERB
ejpam-1597	678	9	the	the	DET
ejpam-1597	678	10	ga	ga	PROPN
ejpam-1597	678	11	to	to	PART
ejpam-1597	678	12	perform	perform	VERB
ejpam-1597	678	13	the	the	DET
ejpam-1597	678	14	multivariate	multivariate	NOUN
ejpam-1597	678	15	subset	subset	NOUN
ejpam-1597	678	16	regression	regression	NOUN
ejpam-1597	678	17	with	with	ADP
ejpam-1597	678	18	the	the	DET
ejpam-1597	678	19	misspecification	misspecification	NOUN
ejpam-1597	678	20	-	-	PUNCT
ejpam-1597	678	21	robust	robust	ADJ
ejpam-1597	678	22	form	form	NOUN
ejpam-1597	678	23	of	of	ADP
ejpam-1597	678	24	icom	icom	PROPN
ejpam-1597	679	1	p.	p.	PROPN
ejpam-1597	680	1	the	the	DET
ejpam-1597	680	2	score	score	NOUN
ejpam-1597	680	3	for	for	ADP
ejpam-1597	680	4	icom	icom	PROPN
ejpam-1597	680	5	pm	pm	PROPN
ejpam-1597	680	6	isp(ôcov(θ̂	isp(ôcov(θ̂	ADJ
ejpam-1597	680	7	)	)	PUNCT
ejpam-1597	680	8	)	)	PUNCT
ejpam-1597	681	1	=	=	PUNCT
ejpam-1597	681	2	−658.39	−658.39	NOUN
ejpam-1597	681	3	is	be	AUX
ejpam-1597	681	4	substantially	substantially	ADV
ejpam-1597	681	5	different	different	ADJ
ejpam-1597	681	6	than	than	ADP
ejpam-1597	681	7	that	that	PRON
ejpam-1597	681	8	of	of	ADP
ejpam-1597	681	9	icom	icom	PROPN
ejpam-1597	681	10	p(f̂−1	p(f̂−1	PROPN
ejpam-1597	681	11	)	)	PUNCT
ejpam-1597	681	12	(	(	PUNCT
ejpam-1597	681	13	−644.36	−644.36	NOUN
ejpam-1597	681	14	)	)	PUNCT
ejpam-1597	681	15	,	,	PUNCT
ejpam-1597	681	16	also	also	ADV
ejpam-1597	681	17	indicative	indicative	ADJ
ejpam-1597	681	18	of	of	ADP
ejpam-1597	681	19	misspecification	misspecification	NOUN
ejpam-1597	681	20	.	.	PUNCT
ejpam-1597	682	1	interestingly	interestingly	ADV
ejpam-1597	682	2	,	,	PUNCT
ejpam-1597	682	3	even	even	ADV
ejpam-1597	682	4	though	though	SCONJ
ejpam-1597	682	5	icom	icom	PROPN
ejpam-1597	682	6	p(f̂−1	p(f̂−1	PROPN
ejpam-1597	682	7	)	)	PUNCT
ejpam-1597	682	8	6=	6=	NUM
ejpam-1597	682	9	icom	icom	PROPN
ejpam-1597	682	10	pm	pm	VERB
ejpam-1597	682	11	isp(ôcov(θ̂	isp(ôcov(θ̂	ADV
ejpam-1597	682	12	)	)	PUNCT
ejpam-1597	682	13	)	)	PUNCT
ejpam-1597	682	14	,	,	PUNCT
ejpam-1597	682	15	the	the	DET
ejpam-1597	682	16	same	same	ADJ
ejpam-1597	682	17	model	model	NOUN
ejpam-1597	682	18	was	be	AUX
ejpam-1597	682	19	selected	select	VERB
ejpam-1597	682	20	x	x	X
ejpam-1597	682	21	∗	∗	NOUN
ejpam-1597	682	22	=	=	PUNCT
ejpam-1597	682	23	�	�	PROPN
ejpam-1597	682	24	x0	x0	PROPN
ejpam-1597	682	25	,	,	PUNCT
ejpam-1597	682	26	x2	x2	PROPN
ejpam-1597	682	27	,	,	PUNCT
ejpam-1597	682	28	x6	x6	PROPN
ejpam-1597	682	29	�	�	PROPN
ejpam-1597	682	30	.	.	PUNCT
ejpam-1597	683	1	8	8	X
ejpam-1597	683	2	.	.	X
ejpam-1597	683	3	concluding	conclude	VERB
ejpam-1597	683	4	remarks	remark	NOUN
ejpam-1597	683	5	model	model	NOUN
ejpam-1597	683	6	misspecification	misspecification	NOUN
ejpam-1597	683	7	is	be	AUX
ejpam-1597	683	8	a	a	DET
ejpam-1597	683	9	major	major	ADJ
ejpam-1597	683	10	challenge	challenge	NOUN
ejpam-1597	683	11	faced	face	VERB
ejpam-1597	683	12	by	by	ADP
ejpam-1597	683	13	all	all	DET
ejpam-1597	683	14	statistical	statistical	ADJ
ejpam-1597	683	15	modeling	modeling	NOUN
ejpam-1597	683	16	techniques	technique	NOUN
ejpam-1597	683	17	.	.	PUNCT
ejpam-1597	684	1	as	as	SCONJ
ejpam-1597	684	2	compared	compare	VERB
ejpam-1597	684	3	to	to	ADP
ejpam-1597	684	4	the	the	DET
ejpam-1597	684	5	bell	bell	PROPN
ejpam-1597	684	6	curve	curve	NOUN
ejpam-1597	684	7	,	,	PUNCT
ejpam-1597	684	8	real	real	ADJ
ejpam-1597	684	9	world	world	NOUN
ejpam-1597	684	10	multivariate	multivariate	NOUN
ejpam-1597	684	11	data	datum	NOUN
ejpam-1597	684	12	frequently	frequently	ADV
ejpam-1597	684	13	exhibit	exhibit	VERB
ejpam-1597	684	14	higher	high	ADJ
ejpam-1597	684	15	kurtosis	kurtosis	NOUN
ejpam-1597	684	16	and	and	CCONJ
ejpam-1597	684	17	heavier	heavy	ADJ
ejpam-1597	684	18	tails	tail	NOUN
ejpam-1597	684	19	,	,	PUNCT
ejpam-1597	684	20	asymmetry	asymmetry	NOUN
ejpam-1597	684	21	,	,	PUNCT
ejpam-1597	684	22	or	or	CCONJ
ejpam-1597	684	23	both	both	PRON
ejpam-1597	684	24	.	.	PUNCT
ejpam-1597	685	1	we	we	PRON
ejpam-1597	685	2	have	have	AUX
ejpam-1597	685	3	extended	extend	VERB
ejpam-1597	685	4	icom	icom	PROPN
ejpam-1597	685	5	p	p	NOUN
ejpam-1597	685	6	for	for	ADP
ejpam-1597	685	7	multivariate	multivariate	NOUN
ejpam-1597	685	8	regression	regression	NOUN
ejpam-1597	685	9	so	so	SCONJ
ejpam-1597	685	10	as	as	SCONJ
ejpam-1597	685	11	to	to	PART
ejpam-1597	685	12	protect	protect	VERB
ejpam-1597	685	13	the	the	DET
ejpam-1597	685	14	statistical	statistical	ADJ
ejpam-1597	685	15	researcher	researcher	NOUN
ejpam-1597	685	16	against	against	ADP
ejpam-1597	685	17	model	model	NOUN
ejpam-1597	685	18	misspecification	misspecification	NOUN
ejpam-1597	685	19	,	,	PUNCT
ejpam-1597	685	20	using	use	VERB
ejpam-1597	685	21	the	the	DET
ejpam-1597	685	22	newly	newly	ADV
ejpam-1597	685	23	derived	derive	VERB
ejpam-1597	685	24	model	model	NOUN
ejpam-1597	685	25	covariance	covariance	NOUN
ejpam-1597	685	26	matrix	matrix	NOUN
ejpam-1597	685	27	that	that	PRON
ejpam-1597	685	28	is	be	AUX
ejpam-1597	685	29	appropriate	appropriate	ADJ
ejpam-1597	685	30	whether	whether	SCONJ
ejpam-1597	685	31	or	or	CCONJ
ejpam-1597	685	32	not	not	PART
ejpam-1597	685	33	the	the	DET
ejpam-1597	685	34	specified	specify	VERB
ejpam-1597	685	35	model	model	NOUN
ejpam-1597	685	36	is	be	AUX
ejpam-1597	685	37	.	.	PUNCT
ejpam-1597	686	1	once	once	ADV
ejpam-1597	686	2	this	this	DET
ejpam-1597	686	3	matrix	matrix	NOUN
ejpam-1597	686	4	is	be	AUX
ejpam-1597	686	5	regularized	regularize	VERB
ejpam-1597	686	6	to	to	PART
ejpam-1597	686	7	adjust	adjust	VERB
ejpam-1597	686	8	for	for	ADP
ejpam-1597	686	9	numerical	numerical	ADJ
ejpam-1597	686	10	instabilities	instability	NOUN
ejpam-1597	686	11	,	,	PUNCT
ejpam-1597	686	12	our	our	PRON
ejpam-1597	686	13	modified	modify	VERB
ejpam-1597	686	14	criterion	criterion	NOUN
ejpam-1597	686	15	can	can	AUX
ejpam-1597	686	16	take	take	VERB
ejpam-1597	686	17	into	into	ADP
ejpam-1597	686	18	consideration	consideration	NOUN
ejpam-1597	686	19	the	the	DET
ejpam-1597	686	20	actual	actual	ADJ
ejpam-1597	686	21	sample	sample	NOUN
ejpam-1597	686	22	kurtosis	kurtosis	NOUN
ejpam-1597	686	23	and	and	CCONJ
ejpam-1597	686	24	skewness	skewness	NOUN
ejpam-1597	686	25	.	.	PUNCT
ejpam-1597	687	1	using	use	VERB
ejpam-1597	687	2	this	this	DET
ejpam-1597	687	3	extended	extended	ADJ
ejpam-1597	687	4	icom	icom	PROPN
ejpam-1597	687	5	p	p	PROPN
ejpam-1597	687	6	as	as	ADP
ejpam-1597	687	7	the	the	DET
ejpam-1597	687	8	fitness	fitness	NOUN
ejpam-1597	687	9	function	function	NOUN
ejpam-1597	687	10	,	,	PUNCT
ejpam-1597	687	11	we	we	PRON
ejpam-1597	687	12	have	have	AUX
ejpam-1597	687	13	employed	employ	VERB
ejpam-1597	687	14	the	the	DET
ejpam-1597	687	15	genetic	genetic	ADJ
ejpam-1597	687	16	algorithm	algorithm	NOUN
ejpam-1597	687	17	to	to	PART
ejpam-1597	687	18	consistently	consistently	ADV
ejpam-1597	687	19	identify	identify	VERB
ejpam-1597	687	20	the	the	DET
ejpam-1597	687	21	known	know	VERB
ejpam-1597	687	22	true	true	ADJ
ejpam-1597	687	23	subset	subset	NOUN
ejpam-1597	687	24	regression	regression	NOUN
ejpam-1597	687	25	model	model	NOUN
ejpam-1597	687	26	in	in	ADP
ejpam-1597	687	27	the	the	DET
ejpam-1597	687	28	presence	presence	NOUN
ejpam-1597	687	29	of	of	ADP
ejpam-1597	687	30	multicolinearity	multicolinearity	NOUN
ejpam-1597	687	31	,	,	PUNCT
ejpam-1597	687	32	unnecessary	unnecessary	ADJ
ejpam-1597	687	33	variables	variable	NOUN
ejpam-1597	687	34	,	,	PUNCT
ejpam-1597	687	35	redundant	redundant	ADJ
ejpam-1597	687	36	variables	variable	NOUN
ejpam-1597	687	37	,	,	PUNCT
ejpam-1597	687	38	and	and	CCONJ
ejpam-1597	687	39	asymmetrical	asymmetrical	ADJ
ejpam-1597	687	40	or	or	CCONJ
ejpam-1597	687	41	leptokurtic	leptokurtic	ADJ
ejpam-1597	687	42	behavior	behavior	NOUN
ejpam-1597	687	43	.	.	PUNCT
ejpam-1597	688	1	the	the	DET
ejpam-1597	688	2	results	result	NOUN
ejpam-1597	688	3	from	from	ADP
ejpam-1597	688	4	our	our	PRON
ejpam-1597	688	5	challenging	challenging	ADJ
ejpam-1597	688	6	simulation	simulation	NOUN
ejpam-1597	688	7	studies	study	NOUN
ejpam-1597	688	8	bolster	bolster	VERB
ejpam-1597	688	9	the	the	DET
ejpam-1597	688	10	application	application	NOUN
ejpam-1597	688	11	of	of	ADP
ejpam-1597	688	12	our	our	PRON
ejpam-1597	688	13	new	new	ADJ
ejpam-1597	688	14	criteria	criterion	NOUN
ejpam-1597	688	15	to	to	ADP
ejpam-1597	688	16	a	a	DET
ejpam-1597	688	17	real	real	ADJ
ejpam-1597	688	18	dataset	dataset	NOUN
ejpam-1597	688	19	.	.	PUNCT
ejpam-1597	689	1	our	our	PRON
ejpam-1597	689	2	findings	finding	NOUN
ejpam-1597	689	3	suggest	suggest	VERB
ejpam-1597	689	4	that	that	SCONJ
ejpam-1597	689	5	when	when	SCONJ
ejpam-1597	689	6	data	datum	NOUN
ejpam-1597	689	7	are	be	AUX
ejpam-1597	689	8	overly	overly	ADV
ejpam-1597	689	9	peaked	peaked	ADJ
ejpam-1597	689	10	or	or	CCONJ
ejpam-1597	689	11	skewed	skewed	ADJ
ejpam-1597	689	12	,	,	PUNCT
ejpam-1597	689	13	criteria	criterion	NOUN
ejpam-1597	689	14	which	which	PRON
ejpam-1597	689	15	adjust	adjust	VERB
ejpam-1597	689	16	for	for	ADP
ejpam-1597	689	17	sample	sample	NOUN
ejpam-1597	689	18	deviance	deviance	NOUN
ejpam-1597	689	19	from	from	ADP
ejpam-1597	689	20	normality	normality	NOUN
ejpam-1597	689	21	,	,	PUNCT
ejpam-1597	689	22	such	such	ADJ
ejpam-1597	689	23	as	as	ADP
ejpam-1597	689	24	the	the	DET
ejpam-1597	689	25	new	new	ADJ
ejpam-1597	689	26	icom	icom	PROPN
ejpam-1597	689	27	p	p	X
ejpam-1597	689	28	,	,	PUNCT
ejpam-1597	689	29	should	should	AUX
ejpam-1597	689	30	be	be	AUX
ejpam-1597	689	31	used	use	VERB
ejpam-1597	689	32	to	to	PART
ejpam-1597	689	33	drive	drive	VERB
ejpam-1597	689	34	model	model	NOUN
ejpam-1597	689	35	selection	selection	NOUN
ejpam-1597	689	36	.	.	PUNCT
ejpam-1597	690	1	the	the	DET
ejpam-1597	690	2	world	world	NOUN
ejpam-1597	690	3	of	of	ADP
ejpam-1597	690	4	statistics	statistic	NOUN
ejpam-1597	690	5	has	have	AUX
ejpam-1597	690	6	too	too	ADV
ejpam-1597	690	7	long	long	ADV
ejpam-1597	690	8	relied	rely	VERB
ejpam-1597	690	9	upon	upon	SCONJ
ejpam-1597	690	10	the	the	DET
ejpam-1597	690	11	gaussian	gaussian	ADJ
ejpam-1597	690	12	distribution	distribution	NOUN
ejpam-1597	690	13	for	for	ADP
ejpam-1597	690	14	analysis	analysis	NOUN
ejpam-1597	690	15	and	and	CCONJ
ejpam-1597	690	16	model	model	NOUN
ejpam-1597	690	17	selection	selection	NOUN
ejpam-1597	690	18	,	,	PUNCT
ejpam-1597	690	19	and	and	CCONJ
ejpam-1597	690	20	this	this	PRON
ejpam-1597	690	21	can	can	AUX
ejpam-1597	690	22	lead	lead	VERB
ejpam-1597	690	23	to	to	ADP
ejpam-1597	690	24	suboptimal	suboptimal	ADJ
ejpam-1597	690	25	solutions	solution	NOUN
ejpam-1597	690	26	in	in	ADP
ejpam-1597	690	27	medical	medical	ADJ
ejpam-1597	690	28	diagnostics	diagnostic	NOUN
ejpam-1597	690	29	,	,	PUNCT
ejpam-1597	690	30	business	business	NOUN
ejpam-1597	690	31	analytics	analytic	NOUN
ejpam-1597	690	32	and	and	CCONJ
ejpam-1597	690	33	intelligence	intelligence	NOUN
ejpam-1597	690	34	,	,	PUNCT
ejpam-1597	690	35	bioinformatics	bioinformatics	NOUN
ejpam-1597	690	36	,	,	PUNCT
ejpam-1597	690	37	econometric	econometric	ADJ
ejpam-1597	690	38	modeling	modeling	NOUN
ejpam-1597	690	39	,	,	PUNCT
ejpam-1597	690	40	and	and	CCONJ
ejpam-1597	690	41	engineering	engineering	NOUN
ejpam-1597	690	42	applications	application	NOUN
ejpam-1597	690	43	.	.	PUNCT
ejpam-1597	691	1	with	with	ADP
ejpam-1597	691	2	the	the	DET
ejpam-1597	691	3	new	new	ADJ
ejpam-1597	691	4	methods	method	NOUN
ejpam-1597	691	5	proposed	propose	VERB
ejpam-1597	691	6	in	in	ADP
ejpam-1597	691	7	this	this	DET
ejpam-1597	691	8	paper	paper	NOUN
ejpam-1597	691	9	,	,	PUNCT
ejpam-1597	691	10	we	we	PRON
ejpam-1597	691	11	expect	expect	VERB
ejpam-1597	691	12	advances	advance	NOUN
ejpam-1597	691	13	in	in	ADP
ejpam-1597	691	14	the	the	DET
ejpam-1597	691	15	usefulness	usefulness	NOUN
ejpam-1597	691	16	and	and	CCONJ
ejpam-1597	691	17	accuracy	accuracy	NOUN
ejpam-1597	691	18	of	of	ADP
ejpam-1597	691	19	statistical	statistical	ADJ
ejpam-1597	691	20	models	model	NOUN
ejpam-1597	691	21	.	.	PUNCT
ejpam-1597	692	1	acknowledgements	acknowledgement	NOUN
ejpam-1597	692	2	professor	professor	NOUN
ejpam-1597	692	3	bozdogan	bozdogan	NOUN
ejpam-1597	692	4	would	would	AUX
ejpam-1597	692	5	like	like	VERB
ejpam-1597	692	6	to	to	PART
ejpam-1597	692	7	thank	thank	VERB
ejpam-1597	692	8	the	the	DET
ejpam-1597	692	9	hospitality	hospitality	NOUN
ejpam-1597	692	10	shown	show	VERB
ejpam-1597	692	11	by	by	ADP
ejpam-1597	692	12	professor	professor	PROPN
ejpam-1597	692	13	jan	jan	PROPN
ejpam-1597	692	14	magnus	magnus	PROPN
ejpam-1597	692	15	during	during	ADP
ejpam-1597	692	16	may	may	PROPN
ejpam-1597	692	17	of	of	ADP
ejpam-1597	692	18	1999	1999	NUM
ejpam-1597	692	19	when	when	SCONJ
ejpam-1597	692	20	he	he	PRON
ejpam-1597	692	21	was	be	AUX
ejpam-1597	692	22	a	a	DET
ejpam-1597	692	23	visiting	visit	VERB
ejpam-1597	692	24	senior	senior	ADJ
ejpam-1597	692	25	scientist	scientist	NOUN
ejpam-1597	692	26	at	at	ADP
ejpam-1597	692	27	references	reference	NOUN
ejpam-1597	692	28	243	243	NUM
ejpam-1597	692	29	tilburg	tilburg	PROPN
ejpam-1597	692	30	university	university	NOUN
ejpam-1597	692	31	,	,	PUNCT
ejpam-1597	692	32	in	in	ADP
ejpam-1597	692	33	tilburg	tilburg	NOUN
ejpam-1597	692	34	,	,	PUNCT
ejpam-1597	692	35	the	the	DET
ejpam-1597	692	36	netherlands	netherlands	PROPN
ejpam-1597	692	37	.	.	PUNCT
ejpam-1597	693	1	during	during	ADP
ejpam-1597	693	2	his	his	PRON
ejpam-1597	693	3	visit	visit	NOUN
ejpam-1597	693	4	the	the	DET
ejpam-1597	693	5	original	original	ADJ
ejpam-1597	693	6	problem	problem	NOUN
ejpam-1597	693	7	of	of	ADP
ejpam-1597	693	8	the	the	DET
ejpam-1597	693	9	misspecification	misspecification	NOUN
ejpam-1597	693	10	in	in	ADP
ejpam-1597	693	11	model	model	NOUN
ejpam-1597	693	12	selection	selection	NOUN
ejpam-1597	693	13	was	be	AUX
ejpam-1597	693	14	raised	raise	VERB
ejpam-1597	693	15	for	for	ADP
ejpam-1597	693	16	the	the	DET
ejpam-1597	693	17	mvr	mvr	PROPN
ejpam-1597	693	18	model	model	NOUN
ejpam-1597	693	19	by	by	ADP
ejpam-1597	693	20	professor	professor	NOUN
ejpam-1597	693	21	bozdogan	bozdogan	NOUN
ejpam-1597	693	22	.	.	PUNCT
ejpam-1597	694	1	most	most	ADJ
ejpam-1597	694	2	of	of	ADP
ejpam-1597	694	3	the	the	DET
ejpam-1597	694	4	collaboration	collaboration	NOUN
ejpam-1597	694	5	between	between	ADP
ejpam-1597	694	6	professors	professor	NOUN
ejpam-1597	694	7	bozdogan	bozdogan	NOUN
ejpam-1597	694	8	and	and	CCONJ
ejpam-1597	694	9	magnus	magnus	PROPN
ejpam-1597	694	10	took	take	VERB
ejpam-1597	694	11	place	place	NOUN
ejpam-1597	694	12	to	to	PART
ejpam-1597	694	13	derive	derive	VERB
ejpam-1597	694	14	the	the	DET
ejpam-1597	694	15	misspecification	misspecification	NOUN
ejpam-1597	694	16	-	-	PUNCT
ejpam-1597	694	17	resistant	resistant	ADJ
ejpam-1597	694	18	model	model	NOUN
ejpam-1597	694	19	covariance	covariance	NOUN
ejpam-1597	694	20	matrix	matrix	NOUN
ejpam-1597	694	21	which	which	PRON
ejpam-1597	694	22	culminated	culminate	VERB
ejpam-1597	694	23	both	both	PRON
ejpam-1597	694	24	in	in	ADP
ejpam-1597	694	25	this	this	DET
ejpam-1597	694	26	paper	paper	NOUN
ejpam-1597	694	27	and	and	CCONJ
ejpam-1597	694	28	that	that	PRON
ejpam-1597	694	29	of	of	ADP
ejpam-1597	694	30	[	[	X
ejpam-1597	694	31	27	27	NUM
ejpam-1597	694	32	]	]	PUNCT
ejpam-1597	694	33	in	in	ADP
ejpam-1597	694	34	two	two	NUM
ejpam-1597	694	35	separate	separate	ADJ
ejpam-1597	694	36	papers	paper	NOUN
ejpam-1597	694	37	.	.	PUNCT
ejpam-1597	695	1	the	the	DET
ejpam-1597	695	2	first	first	ADJ
ejpam-1597	695	3	author	author	NOUN
ejpam-1597	695	4	gratefully	gratefully	ADV
ejpam-1597	695	5	acknowledges	acknowledge	VERB
ejpam-1597	695	6	funding	funding	NOUN
ejpam-1597	695	7	from	from	ADP
ejpam-1597	695	8	the	the	DET
ejpam-1597	695	9	scholarly	scholarly	ADJ
ejpam-1597	695	10	research	research	NOUN
ejpam-1597	695	11	grant	grant	NOUN
ejpam-1597	695	12	program	program	NOUN
ejpam-1597	695	13	(	(	PUNCT
ejpam-1597	695	14	srgp	srgp	ADJ
ejpam-1597	695	15	)	)	PUNCT
ejpam-1597	695	16	awards	award	NOUN
ejpam-1597	695	17	of	of	ADP
ejpam-1597	695	18	the	the	DET
ejpam-1597	695	19	college	college	PROPN
ejpam-1597	695	20	of	of	ADP
ejpam-1597	695	21	business	business	PROPN
ejpam-1597	695	22	administration	administration	NOUN
ejpam-1597	695	23	at	at	ADP
ejpam-1597	695	24	the	the	DET
ejpam-1597	695	25	university	university	PROPN
ejpam-1597	695	26	of	of	ADP
ejpam-1597	695	27	tennessee	tennessee	PROPN
ejpam-1597	695	28	in	in	ADP
ejpam-1597	695	29	knoxville	knoxville	PROPN
ejpam-1597	695	30	,	,	PUNCT
ejpam-1597	695	31	2001–02	2001–02	NUM
ejpam-1597	695	32	.	.	PUNCT
ejpam-1597	696	1	several	several	ADJ
ejpam-1597	696	2	versions	version	NOUN
ejpam-1597	696	3	of	of	ADP
ejpam-1597	696	4	this	this	DET
ejpam-1597	696	5	paper	paper	NOUN
ejpam-1597	696	6	were	be	AUX
ejpam-1597	696	7	presented	present	VERB
ejpam-1597	696	8	as	as	ADP
ejpam-1597	696	9	an	an	DET
ejpam-1597	696	10	invited	invite	VERB
ejpam-1597	696	11	paper	paper	NOUN
ejpam-1597	696	12	at	at	ADP
ejpam-1597	696	13	the	the	DET
ejpam-1597	696	14	imps-2001	imps-2001	ADJ
ejpam-1597	696	15	conference	conference	NOUN
ejpam-1597	696	16	,	,	PUNCT
ejpam-1597	696	17	july	july	PROPN
ejpam-1597	696	18	15–19	15–19	NUM
ejpam-1597	696	19	,	,	PUNCT
ejpam-1597	696	20	2001	2001	NUM
ejpam-1597	696	21	in	in	ADP
ejpam-1597	696	22	osaka	osaka	PROPN
ejpam-1597	696	23	,	,	PUNCT
ejpam-1597	696	24	japan	japan	PROPN
ejpam-1597	696	25	,	,	PUNCT
ejpam-1597	696	26	and	and	CCONJ
ejpam-1597	696	27	at	at	ADP
ejpam-1597	696	28	the	the	DET
ejpam-1597	696	29	workshop	workshop	NOUN
ejpam-1597	696	30	on	on	ADP
ejpam-1597	696	31	reduction	reduction	NOUN
ejpam-1597	696	32	of	of	ADP
ejpam-1597	696	33	complexity	complexity	NOUN
ejpam-1597	696	34	,	,	PUNCT
ejpam-1597	696	35	trade	trade	NOUN
ejpam-1597	696	36	-	-	PUNCT
ejpam-1597	696	37	offs	off	NOUN
ejpam-1597	696	38	,	,	PUNCT
ejpam-1597	696	39	methods	method	NOUN
ejpam-1597	696	40	at	at	ADP
ejpam-1597	696	41	the	the	DET
ejpam-1597	696	42	university	university	PROPN
ejpam-1597	696	43	of	of	ADP
ejpam-1597	696	44	dortmund	dortmund	PROPN
ejpam-1597	696	45	,	,	PUNCT
ejpam-1597	696	46	germany	germany	PROPN
ejpam-1597	696	47	,	,	PUNCT
ejpam-1597	696	48	november	november	PROPN
ejpam-1597	696	49	14–15	14–15	NUM
ejpam-1597	696	50	,	,	PUNCT
ejpam-1597	696	51	2002	2002	NUM
ejpam-1597	696	52	.	.	PUNCT
ejpam-1597	697	1	references	reference	NOUN
ejpam-1597	697	2	[	[	X
ejpam-1597	697	3	1	1	NUM
ejpam-1597	697	4	]	]	X
ejpam-1597	697	5	h.	h.	NOUN
ejpam-1597	697	6	akaike	akaike	PROPN
ejpam-1597	697	7	.	.	PUNCT
ejpam-1597	698	1	information	information	NOUN
ejpam-1597	698	2	theory	theory	NOUN
ejpam-1597	698	3	and	and	CCONJ
ejpam-1597	698	4	an	an	DET
ejpam-1597	698	5	extension	extension	NOUN
ejpam-1597	698	6	of	of	ADP
ejpam-1597	698	7	the	the	DET
ejpam-1597	698	8	maximum	maximum	ADJ
ejpam-1597	698	9	likelihood	likelihood	NOUN
ejpam-1597	698	10	principle	principle	NOUN
ejpam-1597	698	11	.	.	PUNCT
ejpam-1597	699	1	in	in	ADP
ejpam-1597	699	2	b.n	b.n	PROPN
ejpam-1597	699	3	.	.	PROPN
ejpam-1597	699	4	petrox	petrox	PROPN
ejpam-1597	699	5	and	and	CCONJ
ejpam-1597	699	6	f.	f.	PROPN
ejpam-1597	699	7	csaki	csaki	PROPN
ejpam-1597	699	8	,	,	PUNCT
ejpam-1597	699	9	editors	editor	NOUN
ejpam-1597	699	10	,	,	PUNCT
ejpam-1597	699	11	second	second	ADJ
ejpam-1597	699	12	international	international	ADJ
ejpam-1597	699	13	symposium	symposium	NOUN
ejpam-1597	699	14	on	on	ADP
ejpam-1597	699	15	information	information	NOUN
ejpam-1597	699	16	theory	theory	NOUN
ejpam-1597	699	17	,	,	PUNCT
ejpam-1597	699	18	pages	page	NOUN
ejpam-1597	699	19	267–281	267–281	NUM
ejpam-1597	699	20	,	,	PUNCT
ejpam-1597	699	21	budapest	budapest	NOUN
ejpam-1597	699	22	,	,	PUNCT
ejpam-1597	699	23	1973	1973	NUM
ejpam-1597	699	24	.	.	PUNCT
ejpam-1597	700	1	academiai	academiai	PROPN
ejpam-1597	700	2	kiado	kiado	PROPN
ejpam-1597	700	3	.	.	PUNCT
ejpam-1597	701	1	[	[	X
ejpam-1597	701	2	2	2	NUM
ejpam-1597	701	3	]	]	PUNCT
ejpam-1597	701	4	a.	a.	NOUN
ejpam-1597	701	5	azzalini	azzalini	PROPN
ejpam-1597	701	6	.	.	PUNCT
ejpam-1597	702	1	a	a	DET
ejpam-1597	702	2	class	class	NOUN
ejpam-1597	702	3	of	of	ADP
ejpam-1597	702	4	distributions	distribution	NOUN
ejpam-1597	702	5	which	which	PRON
ejpam-1597	702	6	includes	include	VERB
ejpam-1597	702	7	the	the	DET
ejpam-1597	702	8	normal	normal	ADJ
ejpam-1597	702	9	ones	one	NOUN
ejpam-1597	702	10	.	.	PUNCT
ejpam-1597	703	1	scandinavian	scandinavian	ADJ
ejpam-1597	703	2	journal	journal	PROPN
ejpam-1597	703	3	of	of	ADP
ejpam-1597	703	4	statistics	statistic	NOUN
ejpam-1597	703	5	,	,	PUNCT
ejpam-1597	703	6	12:171–178	12:171–178	NUM
ejpam-1597	703	7	,	,	PUNCT
ejpam-1597	703	8	1985	1985	NUM
ejpam-1597	703	9	.	.	PUNCT
ejpam-1597	704	1	[	[	X
ejpam-1597	704	2	3	3	X
ejpam-1597	704	3	]	]	X
ejpam-1597	704	4	g.	g.	PROPN
ejpam-1597	704	5	box	box	PROPN
ejpam-1597	704	6	and	and	CCONJ
ejpam-1597	704	7	d.	d.	PROPN
ejpam-1597	704	8	cox	cox	PROPN
ejpam-1597	704	9	.	.	PUNCT
ejpam-1597	705	1	an	an	DET
ejpam-1597	705	2	analysis	analysis	NOUN
ejpam-1597	705	3	of	of	ADP
ejpam-1597	705	4	transformations	transformation	NOUN
ejpam-1597	705	5	.	.	PUNCT
ejpam-1597	706	1	journal	journal	NOUN
ejpam-1597	706	2	of	of	ADP
ejpam-1597	706	3	the	the	DET
ejpam-1597	706	4	royal	royal	ADJ
ejpam-1597	706	5	statistical	statistical	ADJ
ejpam-1597	706	6	society	society	NOUN
ejpam-1597	706	7	,	,	PUNCT
ejpam-1597	706	8	series	series	NOUN
ejpam-1597	706	9	b	b	PROPN
ejpam-1597	706	10	(	(	PUNCT
ejpam-1597	706	11	methodological	methodological	ADJ
ejpam-1597	706	12	)	)	PUNCT
ejpam-1597	706	13	,	,	PUNCT
ejpam-1597	706	14	26:211–246	26:211–246	PROPN
ejpam-1597	706	15	,	,	PUNCT
ejpam-1597	706	16	1964	1964	NUM
ejpam-1597	706	17	.	.	PUNCT
ejpam-1597	707	1	[	[	X
ejpam-1597	707	2	4	4	X
ejpam-1597	707	3	]	]	X
ejpam-1597	707	4	h.	h.	NOUN
ejpam-1597	707	5	bozdogan	bozdogan	PROPN
ejpam-1597	707	6	.	.	PUNCT
ejpam-1597	708	1	icomp	icomp	PROPN
ejpam-1597	708	2	:	:	PUNCT
ejpam-1597	708	3	a	a	DET
ejpam-1597	708	4	new	new	ADJ
ejpam-1597	708	5	model	model	ADJ
ejpam-1597	708	6	-	-	PUNCT
ejpam-1597	708	7	selection	selection	NOUN
ejpam-1597	708	8	criteria	criterion	NOUN
ejpam-1597	708	9	.	.	PUNCT
ejpam-1597	709	1	in	in	ADP
ejpam-1597	709	2	classification	classification	NOUN
ejpam-1597	709	3	and	and	CCONJ
ejpam-1597	709	4	related	related	ADJ
ejpam-1597	709	5	methods	method	NOUN
ejpam-1597	709	6	of	of	ADP
ejpam-1597	709	7	data	datum	NOUN
ejpam-1597	709	8	analysis	analysis	NOUN
ejpam-1597	709	9	.	.	PUNCT
ejpam-1597	710	1	[	[	X
ejpam-1597	710	2	5	5	X
ejpam-1597	710	3	]	]	PUNCT
ejpam-1597	710	4	h.	h.	NOUN
ejpam-1597	710	5	bozdogan	bozdogan	PROPN
ejpam-1597	710	6	.	.	PUNCT
ejpam-1597	711	1	model	model	NOUN
ejpam-1597	711	2	selection	selection	NOUN
ejpam-1597	711	3	and	and	CCONJ
ejpam-1597	711	4	akaike	akaike	NOUN
ejpam-1597	711	5	’s	’s	PART
ejpam-1597	711	6	information	information	NOUN
ejpam-1597	711	7	criteria	criterion	NOUN
ejpam-1597	711	8	(	(	PUNCT
ejpam-1597	711	9	aic	aic	PROPN
ejpam-1597	711	10	):	):	PUNCT
ejpam-1597	711	11	the	the	DET
ejpam-1597	711	12	general	general	ADJ
ejpam-1597	711	13	theory	theory	NOUN
ejpam-1597	711	14	and	and	CCONJ
ejpam-1597	711	15	its	its	PRON
ejpam-1597	711	16	analytical	analytical	ADJ
ejpam-1597	711	17	extensions	extension	NOUN
ejpam-1597	711	18	.	.	PUNCT
ejpam-1597	712	1	psychometrica	psychometrica	PROPN
ejpam-1597	712	2	,	,	PUNCT
ejpam-1597	712	3	52:317–332	52:317–332	PROPN
ejpam-1597	712	4	,	,	PUNCT
ejpam-1597	712	5	1987	1987	NUM
ejpam-1597	712	6	.	.	PUNCT
ejpam-1597	713	1	[	[	X
ejpam-1597	713	2	6	6	NUM
ejpam-1597	713	3	]	]	PUNCT
ejpam-1597	713	4	h.	h.	NOUN
ejpam-1597	713	5	bozdogan	bozdogan	PROPN
ejpam-1597	713	6	.	.	PUNCT
ejpam-1597	714	1	on	on	ADP
ejpam-1597	714	2	the	the	DET
ejpam-1597	714	3	information	information	NOUN
ejpam-1597	714	4	-	-	PUNCT
ejpam-1597	714	5	based	base	VERB
ejpam-1597	714	6	measure	measure	NOUN
ejpam-1597	714	7	of	of	ADP
ejpam-1597	714	8	covariance	covariance	NOUN
ejpam-1597	714	9	complexity	complexity	NOUN
ejpam-1597	714	10	and	and	CCONJ
ejpam-1597	714	11	its	its	PRON
ejpam-1597	714	12	application	application	NOUN
ejpam-1597	714	13	to	to	ADP
ejpam-1597	714	14	the	the	DET
ejpam-1597	714	15	evaluation	evaluation	NOUN
ejpam-1597	714	16	of	of	ADP
ejpam-1597	714	17	multivariate	multivariate	NOUN
ejpam-1597	714	18	linear	linear	NOUN
ejpam-1597	714	19	models	model	NOUN
ejpam-1597	714	20	.	.	PUNCT
ejpam-1597	715	1	communication	communication	NOUN
ejpam-1597	715	2	in	in	ADP
ejpam-1597	715	3	statistics	statistic	NOUN
ejpam-1597	715	4	,	,	PUNCT
ejpam-1597	715	5	theory	theory	NOUN
ejpam-1597	715	6	and	and	CCONJ
ejpam-1597	715	7	methods	method	NOUN
ejpam-1597	715	8	,	,	PUNCT
ejpam-1597	715	9	19:221–278	19:221–278	NUM
ejpam-1597	715	10	,	,	PUNCT
ejpam-1597	715	11	1990	1990	NUM
ejpam-1597	715	12	.	.	PUNCT
ejpam-1597	716	1	[	[	X
ejpam-1597	716	2	7	7	X
ejpam-1597	716	3	]	]	X
ejpam-1597	716	4	h.	h.	NOUN
ejpam-1597	716	5	bozdogan	bozdogan	PROPN
ejpam-1597	716	6	.	.	PUNCT
ejpam-1597	717	1	akaike	akaike	ADP
ejpam-1597	717	2	’s	’s	PART
ejpam-1597	717	3	information	information	NOUN
ejpam-1597	717	4	criterion	criterion	NOUN
ejpam-1597	717	5	and	and	CCONJ
ejpam-1597	717	6	recent	recent	ADJ
ejpam-1597	717	7	developments	development	NOUN
ejpam-1597	717	8	in	in	ADP
ejpam-1597	717	9	information	information	NOUN
ejpam-1597	717	10	complexity	complexity	NOUN
ejpam-1597	717	11	.	.	PUNCT
ejpam-1597	718	1	journal	journal	PROPN
ejpam-1597	718	2	of	of	ADP
ejpam-1597	718	3	mathematical	mathematical	ADJ
ejpam-1597	718	4	psychology	psychology	NOUN
ejpam-1597	718	5	,	,	PUNCT
ejpam-1597	718	6	44:62–91	44:62–91	NUM
ejpam-1597	718	7	,	,	PUNCT
ejpam-1597	718	8	2000	2000	NUM
ejpam-1597	718	9	.	.	PUNCT
ejpam-1597	719	1	[	[	X
ejpam-1597	719	2	8	8	NUM
ejpam-1597	719	3	]	]	X
ejpam-1597	719	4	h.	h.	NOUN
ejpam-1597	719	5	bozdogan	bozdogan	PROPN
ejpam-1597	719	6	.	.	PUNCT
ejpam-1597	720	1	a	a	DET
ejpam-1597	720	2	new	new	ADJ
ejpam-1597	720	3	class	class	NOUN
ejpam-1597	720	4	of	of	ADP
ejpam-1597	720	5	information	information	NOUN
ejpam-1597	720	6	complexity	complexity	NOUN
ejpam-1597	720	7	(	(	PUNCT
ejpam-1597	720	8	icomp	icomp	ADJ
ejpam-1597	720	9	)	)	PUNCT
ejpam-1597	720	10	criteria	criterion	NOUN
ejpam-1597	720	11	with	with	ADP
ejpam-1597	720	12	an	an	DET
ejpam-1597	720	13	application	application	NOUN
ejpam-1597	720	14	to	to	ADP
ejpam-1597	720	15	customer	customer	NOUN
ejpam-1597	720	16	profiling	profiling	NOUN
ejpam-1597	720	17	and	and	CCONJ
ejpam-1597	720	18	segmentation	segmentation	NOUN
ejpam-1597	720	19	;	;	PUNCT
ejpam-1597	720	20	an	an	DET
ejpam-1597	720	21	invited	invite	VERB
ejpam-1597	720	22	paper	paper	NOUN
ejpam-1597	720	23	.	.	PUNCT
ejpam-1597	721	1	istanbul	istanbul	PROPN
ejpam-1597	721	2	university	university	PROPN
ejpam-1597	721	3	journal	journal	NOUN
ejpam-1597	721	4	of	of	ADP
ejpam-1597	721	5	the	the	DET
ejpam-1597	721	6	school	school	NOUN
ejpam-1597	721	7	of	of	ADP
ejpam-1597	721	8	business	business	PROPN
ejpam-1597	721	9	administration	administration	NOUN
ejpam-1597	721	10	,	,	PUNCT
ejpam-1597	721	11	39(2):370–398	39(2):370–398	NUM
ejpam-1597	721	12	,	,	PUNCT
ejpam-1597	721	13	2010	2010	NUM
ejpam-1597	721	14	.	.	PUNCT
ejpam-1597	722	1	[	[	X
ejpam-1597	722	2	9	9	NUM
ejpam-1597	722	3	]	]	X
ejpam-1597	722	4	h.	h.	NOUN
ejpam-1597	722	5	bozdogan	bozdogan	PROPN
ejpam-1597	722	6	and	and	CCONJ
ejpam-1597	722	7	d.	d.	PROPN
ejpam-1597	722	8	haughton	haughton	PROPN
ejpam-1597	722	9	.	.	PUNCT
ejpam-1597	723	1	informational	informational	ADJ
ejpam-1597	723	2	complexity	complexity	NOUN
ejpam-1597	723	3	criteria	criterion	NOUN
ejpam-1597	723	4	for	for	ADP
ejpam-1597	723	5	regression	regression	NOUN
ejpam-1597	723	6	models	model	NOUN
ejpam-1597	723	7	.	.	PUNCT
ejpam-1597	724	1	computational	computational	ADJ
ejpam-1597	724	2	statistics	statistic	NOUN
ejpam-1597	724	3	and	and	CCONJ
ejpam-1597	724	4	data	datum	NOUN
ejpam-1597	724	5	analysis	analysis	NOUN
ejpam-1597	724	6	,	,	PUNCT
ejpam-1597	724	7	28:51–76	28:51–76	NUM
ejpam-1597	724	8	,	,	PUNCT
ejpam-1597	724	9	1998	1998	NUM
ejpam-1597	724	10	.	.	PUNCT
ejpam-1597	725	1	[	[	X
ejpam-1597	725	2	10	10	NUM
ejpam-1597	725	3	]	]	PUNCT
ejpam-1597	725	4	k.	k.	PROPN
ejpam-1597	725	5	chaloner	chaloner	PROPN
ejpam-1597	725	6	and	and	CCONJ
ejpam-1597	725	7	i.	i.	PROPN
ejpam-1597	725	8	verdinelli	verdinelli	PROPN
ejpam-1597	725	9	.	.	PUNCT
ejpam-1597	726	1	bayesian	bayesian	NOUN
ejpam-1597	726	2	experimental	experimental	ADJ
ejpam-1597	726	3	design	design	NOUN
ejpam-1597	726	4	:	:	PUNCT
ejpam-1597	726	5	a	a	DET
ejpam-1597	726	6	review	review	NOUN
ejpam-1597	726	7	.	.	PUNCT
ejpam-1597	727	1	statistical	statistical	ADJ
ejpam-1597	727	2	science	science	NOUN
ejpam-1597	727	3	,	,	PUNCT
ejpam-1597	727	4	10(3):273–304	10(3):273–304	NUM
ejpam-1597	727	5	,	,	PUNCT
ejpam-1597	727	6	august	august	PROPN
ejpam-1597	727	7	1995	1995	NUM
ejpam-1597	727	8	.	.	PUNCT
ejpam-1597	728	1	references	reference	NOUN
ejpam-1597	728	2	244	244	NUM
ejpam-1597	729	1	[	[	X
ejpam-1597	729	2	11	11	NUM
ejpam-1597	729	3	]	]	PUNCT
ejpam-1597	729	4	m.	m.	NOUN
ejpam-1597	729	5	chen	chen	PROPN
ejpam-1597	729	6	.	.	PUNCT
ejpam-1597	730	1	estimation	estimation	NOUN
ejpam-1597	730	2	of	of	ADP
ejpam-1597	730	3	covariance	covariance	NOUN
ejpam-1597	730	4	matrices	matrix	NOUN
ejpam-1597	730	5	under	under	ADP
ejpam-1597	730	6	a	a	DET
ejpam-1597	730	7	quadratic	quadratic	ADJ
ejpam-1597	730	8	loss	loss	NOUN
ejpam-1597	730	9	function	function	NOUN
ejpam-1597	730	10	.	.	PUNCT
ejpam-1597	731	1	research	research	NOUN
ejpam-1597	731	2	report	report	PROPN
ejpam-1597	731	3	s-46	s-46	PROPN
ejpam-1597	731	4	,	,	PUNCT
ejpam-1597	731	5	department	department	NOUN
ejpam-1597	731	6	of	of	ADP
ejpam-1597	731	7	mathematics	mathematics	PROPN
ejpam-1597	731	8	,	,	PUNCT
ejpam-1597	731	9	suny	suny	PROPN
ejpam-1597	731	10	at	at	ADP
ejpam-1597	731	11	albany	albany	PROPN
ejpam-1597	731	12	,	,	PUNCT
ejpam-1597	731	13	1976	1976	NUM
ejpam-1597	731	14	.	.	PUNCT
ejpam-1597	732	1	[	[	X
ejpam-1597	732	2	12	12	NUM
ejpam-1597	732	3	]	]	X
ejpam-1597	732	4	h.	h.	PROPN
ejpam-1597	732	5	cramér	cramér	PROPN
ejpam-1597	732	6	.	.	PUNCT
ejpam-1597	733	1	mathematical	mathematical	ADJ
ejpam-1597	733	2	methods	method	NOUN
ejpam-1597	733	3	of	of	ADP
ejpam-1597	733	4	statistics	statistic	NOUN
ejpam-1597	733	5	.	.	PUNCT
ejpam-1597	734	1	princeton	princeton	PROPN
ejpam-1597	734	2	university	university	PROPN
ejpam-1597	734	3	press	press	PROPN
ejpam-1597	734	4	,	,	PUNCT
ejpam-1597	734	5	princeton	princeton	PROPN
ejpam-1597	734	6	,	,	PUNCT
ejpam-1597	734	7	new	new	PROPN
ejpam-1597	734	8	jersey	jersey	PROPN
ejpam-1597	734	9	,	,	PUNCT
ejpam-1597	734	10	1946	1946	NUM
ejpam-1597	734	11	.	.	PUNCT
ejpam-1597	735	1	[	[	X
ejpam-1597	735	2	13	13	NUM
ejpam-1597	735	3	]	]	PUNCT
ejpam-1597	735	4	a.	a.	NOUN
ejpam-1597	735	5	davison	davison	PROPN
ejpam-1597	735	6	.	.	PUNCT
ejpam-1597	736	1	statistical	statistical	ADJ
ejpam-1597	736	2	models	model	NOUN
ejpam-1597	736	3	.	.	PUNCT
ejpam-1597	737	1	cambridge	cambridge	PROPN
ejpam-1597	737	2	university	university	PROPN
ejpam-1597	737	3	press	press	PROPN
ejpam-1597	737	4	,	,	PUNCT
ejpam-1597	737	5	cambridge	cambridge	PROPN
ejpam-1597	737	6	,	,	PUNCT
ejpam-1597	737	7	2003	2003	NUM
ejpam-1597	737	8	.	.	PUNCT
ejpam-1597	738	1	[	[	X
ejpam-1597	738	2	14	14	NUM
ejpam-1597	738	3	]	]	PUNCT
ejpam-1597	738	4	b.	b.	PROPN
ejpam-1597	738	5	frieden	frieden	PROPN
ejpam-1597	738	6	.	.	PUNCT
ejpam-1597	739	1	physics	physics	PROPN
ejpam-1597	739	2	from	from	ADP
ejpam-1597	739	3	fisher	fisher	PROPN
ejpam-1597	739	4	information	information	NOUN
ejpam-1597	739	5	.	.	PUNCT
ejpam-1597	740	1	cambridge	cambridge	PROPN
ejpam-1597	740	2	university	university	PROPN
ejpam-1597	740	3	press	press	PROPN
ejpam-1597	740	4	,	,	PUNCT
ejpam-1597	740	5	cambridge	cambridge	PROPN
ejpam-1597	740	6	,	,	PUNCT
ejpam-1597	740	7	uk	uk	PROPN
ejpam-1597	740	8	,	,	PUNCT
ejpam-1597	740	9	1998	1998	NUM
ejpam-1597	740	10	.	.	PUNCT
ejpam-1597	741	1	[	[	X
ejpam-1597	741	2	15	15	NUM
ejpam-1597	741	3	]	]	X
ejpam-1597	741	4	l.	l.	PROPN
ejpam-1597	741	5	godfrey	godfrey	PROPN
ejpam-1597	741	6	.	.	PUNCT
ejpam-1597	741	7	misspecification	misspecification	NOUN
ejpam-1597	741	8	tests	test	NOUN
ejpam-1597	741	9	in	in	ADP
ejpam-1597	741	10	econometrics	econometric	NOUN
ejpam-1597	741	11	.	.	PUNCT
ejpam-1597	742	1	cambridge	cambridge	PROPN
ejpam-1597	742	2	university	university	PROPN
ejpam-1597	742	3	press	press	PROPN
ejpam-1597	742	4	,	,	PUNCT
ejpam-1597	742	5	cambridge	cambridge	PROPN
ejpam-1597	742	6	,	,	PUNCT
ejpam-1597	742	7	1988	1988	NUM
ejpam-1597	742	8	.	.	PUNCT
ejpam-1597	743	1	[	[	X
ejpam-1597	743	2	16	16	NUM
ejpam-1597	743	3	]	]	X
ejpam-1597	743	4	e.	e.	PROPN
ejpam-1597	743	5	gomez	gomez	PROPN
ejpam-1597	743	6	,	,	PUNCT
ejpam-1597	743	7	m.	m.	PROPN
ejpam-1597	743	8	gomez	gomez	PROPN
ejpam-1597	743	9	-	-	PUNCT
ejpam-1597	743	10	villegas	villegas	PROPN
ejpam-1597	743	11	,	,	PUNCT
ejpam-1597	743	12	and	and	CCONJ
ejpam-1597	743	13	j.	j.	PROPN
ejpam-1597	743	14	marin	marin	PROPN
ejpam-1597	743	15	.	.	PUNCT
ejpam-1597	744	1	a	a	DET
ejpam-1597	744	2	multivariate	multivariate	NOUN
ejpam-1597	744	3	generalization	generalization	NOUN
ejpam-1597	744	4	of	of	ADP
ejpam-1597	744	5	the	the	DET
ejpam-1597	744	6	power	power	NOUN
ejpam-1597	744	7	exponential	exponential	NOUN
ejpam-1597	744	8	family	family	NOUN
ejpam-1597	744	9	of	of	ADP
ejpam-1597	744	10	distributions	distribution	NOUN
ejpam-1597	744	11	.	.	PUNCT
ejpam-1597	745	1	communications	communication	NOUN
ejpam-1597	745	2	in	in	ADP
ejpam-1597	745	3	statistics	statistic	NOUN
ejpam-1597	745	4	theory	theory	NOUN
ejpam-1597	745	5	and	and	CCONJ
ejpam-1597	745	6	methods	method	NOUN
ejpam-1597	745	7	,	,	PUNCT
ejpam-1597	745	8	27(3):589–600	27(3):589–600	PROPN
ejpam-1597	745	9	,	,	PUNCT
ejpam-1597	745	10	1998	1998	NUM
ejpam-1597	745	11	.	.	PUNCT
ejpam-1597	746	1	[	[	X
ejpam-1597	746	2	17	17	NUM
ejpam-1597	746	3	]	]	X
ejpam-1597	746	4	c.	c.	PROPN
ejpam-1597	746	5	gouriéroux	gouriéroux	PROPN
ejpam-1597	746	6	and	and	CCONJ
ejpam-1597	746	7	a.	a.	NOUN
ejpam-1597	746	8	monfort	monfort	NOUN
ejpam-1597	746	9	.	.	PUNCT
ejpam-1597	747	1	statistics	statistic	NOUN
ejpam-1597	747	2	and	and	CCONJ
ejpam-1597	747	3	econometric	econometric	ADJ
ejpam-1597	747	4	models	model	NOUN
ejpam-1597	747	5	,	,	PUNCT
ejpam-1597	747	6	volume	volume	NOUN
ejpam-1597	747	7	1	1	NUM
ejpam-1597	747	8	.	.	PUNCT
ejpam-1597	748	1	camridge	camridge	PROPN
ejpam-1597	748	2	university	university	NOUN
ejpam-1597	748	3	press	press	NOUN
ejpam-1597	748	4	,	,	PUNCT
ejpam-1597	748	5	cambridge	cambridge	PROPN
ejpam-1597	748	6	,	,	PUNCT
ejpam-1597	748	7	1995	1995	NUM
ejpam-1597	748	8	.	.	PUNCT
ejpam-1597	749	1	[	[	X
ejpam-1597	749	2	18	18	NUM
ejpam-1597	749	3	]	]	X
ejpam-1597	749	4	c.	c.	PROPN
ejpam-1597	749	5	gouriéroux	gouriéroux	PROPN
ejpam-1597	749	6	and	and	CCONJ
ejpam-1597	749	7	a.	a.	NOUN
ejpam-1597	749	8	monfort	monfort	NOUN
ejpam-1597	749	9	.	.	PUNCT
ejpam-1597	750	1	statistics	statistic	NOUN
ejpam-1597	750	2	and	and	CCONJ
ejpam-1597	750	3	econometric	econometric	ADJ
ejpam-1597	750	4	models	model	NOUN
ejpam-1597	750	5	,	,	PUNCT
ejpam-1597	750	6	volume	volume	NOUN
ejpam-1597	750	7	2	2	NUM
ejpam-1597	750	8	.	.	PUNCT
ejpam-1597	750	9	camridge	camridge	PROPN
ejpam-1597	750	10	university	university	NOUN
ejpam-1597	750	11	press	press	NOUN
ejpam-1597	750	12	,	,	PUNCT
ejpam-1597	750	13	cambridge	cambridge	PROPN
ejpam-1597	750	14	,	,	PUNCT
ejpam-1597	750	15	1995	1995	NUM
ejpam-1597	750	16	.	.	PUNCT
ejpam-1597	751	1	[	[	X
ejpam-1597	751	2	19	19	NUM
ejpam-1597	751	3	]	]	X
ejpam-1597	751	4	d.	d.	PROPN
ejpam-1597	751	5	hendry	hendry	PROPN
ejpam-1597	751	6	.	.	PUNCT
ejpam-1597	752	1	dynamic	dynamic	ADJ
ejpam-1597	752	2	econometrics	econometric	NOUN
ejpam-1597	752	3	.	.	PUNCT
ejpam-1597	753	1	oxford	oxford	PROPN
ejpam-1597	753	2	university	university	PROPN
ejpam-1597	753	3	press	press	NOUN
ejpam-1597	753	4	,	,	PUNCT
ejpam-1597	753	5	oxford	oxford	NOUN
ejpam-1597	753	6	,	,	PUNCT
ejpam-1597	753	7	1995	1995	NUM
ejpam-1597	753	8	.	.	PUNCT
ejpam-1597	754	1	[	[	X
ejpam-1597	754	2	20	20	NUM
ejpam-1597	754	3	]	]	X
ejpam-1597	754	4	j.	j.	PROPN
ejpam-1597	754	5	hosking	hosking	PROPN
ejpam-1597	754	6	.	.	PUNCT
ejpam-1597	754	7	lagrange	lagrange	NOUN
ejpam-1597	754	8	-	-	PUNCT
ejpam-1597	754	9	multiplier	multipli	ADJ
ejpam-1597	754	10	tests	test	NOUN
ejpam-1597	754	11	of	of	ADP
ejpam-1597	754	12	time	time	NOUN
ejpam-1597	754	13	-	-	PUNCT
ejpam-1597	754	14	series	series	NOUN
ejpam-1597	754	15	models	model	NOUN
ejpam-1597	754	16	.	.	PUNCT
ejpam-1597	755	1	journal	journal	NOUN
ejpam-1597	755	2	of	of	ADP
ejpam-1597	755	3	the	the	DET
ejpam-1597	755	4	royal	royal	ADJ
ejpam-1597	755	5	statistical	statistical	ADJ
ejpam-1597	755	6	society	society	NOUN
ejpam-1597	755	7	,	,	PUNCT
ejpam-1597	755	8	series	series	NOUN
ejpam-1597	755	9	b	b	PROPN
ejpam-1597	755	10	(	(	PUNCT
ejpam-1597	755	11	methodological	methodological	ADJ
ejpam-1597	755	12	)	)	PUNCT
ejpam-1597	755	13	,	,	PUNCT
ejpam-1597	755	14	42:170–181	42:170–181	PROPN
ejpam-1597	755	15	,	,	PUNCT
ejpam-1597	755	16	1980	1980	NUM
ejpam-1597	755	17	.	.	PUNCT
ejpam-1597	756	1	[	[	X
ejpam-1597	756	2	21	21	NUM
ejpam-1597	756	3	]	]	X
ejpam-1597	756	4	r.	r.	PROPN
ejpam-1597	756	5	kass	kass	PROPN
ejpam-1597	756	6	,	,	PUNCT
ejpam-1597	756	7	l.	l.	PROPN
ejpam-1597	756	8	tierney	tierney	PROPN
ejpam-1597	756	9	,	,	PUNCT
ejpam-1597	756	10	and	and	CCONJ
ejpam-1597	756	11	j.	j.	PROPN
ejpam-1597	756	12	kadane	kadane	PROPN
ejpam-1597	756	13	.	.	PUNCT
ejpam-1597	757	1	bayesian	bayesian	NOUN
ejpam-1597	757	2	and	and	CCONJ
ejpam-1597	757	3	likelihood	likelihood	NOUN
ejpam-1597	757	4	methods	method	NOUN
ejpam-1597	757	5	in	in	ADP
ejpam-1597	757	6	statistics	statistic	NOUN
ejpam-1597	757	7	and	and	CCONJ
ejpam-1597	757	8	econometrics	econometric	NOUN
ejpam-1597	757	9	,	,	PUNCT
ejpam-1597	757	10	chapter	chapter	NOUN
ejpam-1597	757	11	the	the	DET
ejpam-1597	757	12	validity	validity	NOUN
ejpam-1597	757	13	of	of	ADP
ejpam-1597	757	14	posterior	posterior	ADJ
ejpam-1597	757	15	expansions	expansion	NOUN
ejpam-1597	757	16	based	base	VERB
ejpam-1597	757	17	on	on	ADP
ejpam-1597	757	18	laplace	laplace	NOUN
ejpam-1597	757	19	’s	’s	PART
ejpam-1597	757	20	method	method	NOUN
ejpam-1597	757	21	,	,	PUNCT
ejpam-1597	757	22	pages	page	NOUN
ejpam-1597	757	23	473–488	473–488	NUM
ejpam-1597	757	24	.	.	PUNCT
ejpam-1597	757	25	1990	1990	NUM
ejpam-1597	757	26	.	.	PUNCT
ejpam-1597	758	1	[	[	X
ejpam-1597	758	2	22	22	NUM
ejpam-1597	758	3	]	]	X
ejpam-1597	758	4	g.	g.	PROPN
ejpam-1597	758	5	kitagawa	kitagawa	PROPN
ejpam-1597	758	6	and	and	CCONJ
ejpam-1597	758	7	s.	s.	PROPN
ejpam-1597	758	8	konishi	konishi	PROPN
ejpam-1597	758	9	.	.	PUNCT
ejpam-1597	758	10	bias	bias	NOUN
ejpam-1597	758	11	and	and	CCONJ
ejpam-1597	758	12	variance	variance	NOUN
ejpam-1597	758	13	reduction	reduction	NOUN
ejpam-1597	758	14	techniques	technique	NOUN
ejpam-1597	758	15	for	for	ADP
ejpam-1597	758	16	bootstrap	bootstrap	NOUN
ejpam-1597	758	17	information	information	NOUN
ejpam-1597	758	18	criteria	criterion	NOUN
ejpam-1597	758	19	.	.	PUNCT
ejpam-1597	759	1	annals	annal	NOUN
ejpam-1597	759	2	of	of	ADP
ejpam-1597	759	3	the	the	DET
ejpam-1597	759	4	institute	institute	NOUN
ejpam-1597	759	5	of	of	ADP
ejpam-1597	759	6	statistical	statistical	ADJ
ejpam-1597	759	7	mathematics	mathematic	NOUN
ejpam-1597	759	8	,	,	PUNCT
ejpam-1597	759	9	62:209–234	62:209–234	PROPN
ejpam-1597	759	10	,	,	PUNCT
ejpam-1597	759	11	2010	2010	NUM
ejpam-1597	759	12	.	.	PUNCT
ejpam-1597	760	1	[	[	X
ejpam-1597	760	2	23	23	NUM
ejpam-1597	760	3	]	]	PUNCT
ejpam-1597	760	4	s.	s.	PROPN
ejpam-1597	760	5	konishi	konishi	PROPN
ejpam-1597	760	6	and	and	CCONJ
ejpam-1597	760	7	g.	g.	PROPN
ejpam-1597	760	8	kitagawa	kitagawa	PROPN
ejpam-1597	760	9	.	.	PUNCT
ejpam-1597	761	1	information	information	NOUN
ejpam-1597	761	2	criteria	criterion	NOUN
ejpam-1597	761	3	and	and	CCONJ
ejpam-1597	761	4	statistical	statistical	ADJ
ejpam-1597	761	5	modeling	modeling	NOUN
ejpam-1597	761	6	.	.	PUNCT
ejpam-1597	762	1	springer	springer	NOUN
ejpam-1597	762	2	,	,	PUNCT
ejpam-1597	762	3	new	new	PROPN
ejpam-1597	762	4	york	york	PROPN
ejpam-1597	762	5	,	,	PUNCT
ejpam-1597	762	6	2008	2008	NUM
ejpam-1597	762	7	.	.	PUNCT
ejpam-1597	763	1	[	[	X
ejpam-1597	763	2	24	24	NUM
ejpam-1597	763	3	]	]	PUNCT
ejpam-1597	763	4	a.	a.	NOUN
ejpam-1597	763	5	kullback	kullback	PROPN
ejpam-1597	763	6	and	and	CCONJ
ejpam-1597	763	7	r.	r.	PROPN
ejpam-1597	763	8	leibler	leibler	PROPN
ejpam-1597	763	9	.	.	PUNCT
ejpam-1597	764	1	on	on	ADP
ejpam-1597	764	2	information	information	NOUN
ejpam-1597	764	3	and	and	CCONJ
ejpam-1597	764	4	sufficiency	sufficiency	NOUN
ejpam-1597	764	5	.	.	PUNCT
ejpam-1597	765	1	annals	annal	NOUN
ejpam-1597	765	2	of	of	ADP
ejpam-1597	765	3	mathematical	mathematical	ADJ
ejpam-1597	765	4	statistics	statistic	NOUN
ejpam-1597	765	5	,	,	PUNCT
ejpam-1597	765	6	22:79–86	22:79–86	NUM
ejpam-1597	765	7	,	,	PUNCT
ejpam-1597	765	8	1951	1951	NUM
ejpam-1597	765	9	.	.	PUNCT
ejpam-1597	766	1	[	[	X
ejpam-1597	766	2	25	25	NUM
ejpam-1597	766	3	]	]	X
ejpam-1597	766	4	d.	d.	PROPN
ejpam-1597	766	5	lindley	lindley	PROPN
ejpam-1597	766	6	.	.	PUNCT
ejpam-1597	767	1	on	on	ADP
ejpam-1597	767	2	a	a	DET
ejpam-1597	767	3	measure	measure	NOUN
ejpam-1597	767	4	of	of	ADP
ejpam-1597	767	5	the	the	DET
ejpam-1597	767	6	information	information	NOUN
ejpam-1597	767	7	provided	provide	VERB
ejpam-1597	767	8	by	by	ADP
ejpam-1597	767	9	an	an	DET
ejpam-1597	767	10	experiment	experiment	NOUN
ejpam-1597	767	11	.	.	PUNCT
ejpam-1597	768	1	the	the	DET
ejpam-1597	768	2	annals	annal	NOUN
ejpam-1597	768	3	of	of	ADP
ejpam-1597	768	4	mathematical	mathematical	ADJ
ejpam-1597	768	5	statistics	statistic	NOUN
ejpam-1597	768	6	,	,	PUNCT
ejpam-1597	768	7	27(4):986–1005	27(4):986–1005	NUM
ejpam-1597	768	8	,	,	PUNCT
ejpam-1597	768	9	december	december	PROPN
ejpam-1597	768	10	1956	1956	NUM
ejpam-1597	768	11	.	.	PUNCT
ejpam-1597	769	1	[	[	X
ejpam-1597	769	2	26	26	NUM
ejpam-1597	769	3	]	]	PUNCT
ejpam-1597	769	4	j.	j.	PROPN
ejpam-1597	769	5	magnus	magnus	PROPN
ejpam-1597	769	6	.	.	PUNCT
ejpam-1597	770	1	linear	linear	PROPN
ejpam-1597	770	2	structures	structure	NOUN
ejpam-1597	770	3	.	.	PUNCT
ejpam-1597	771	1	charles	charles	PROPN
ejpam-1597	771	2	griffin	griffin	PROPN
ejpam-1597	771	3	&	&	CCONJ
ejpam-1597	771	4	company	company	PROPN
ejpam-1597	771	5	and	and	CCONJ
ejpam-1597	771	6	oxford	oxford	PROPN
ejpam-1597	771	7	university	university	PROPN
ejpam-1597	771	8	press	press	PROPN
ejpam-1597	771	9	,	,	PUNCT
ejpam-1597	771	10	london	london	PROPN
ejpam-1597	771	11	,	,	PUNCT
ejpam-1597	771	12	1988	1988	NUM
ejpam-1597	771	13	.	.	PUNCT
ejpam-1597	772	1	references	reference	NOUN
ejpam-1597	772	2	245	245	NUM
ejpam-1597	772	3	[	[	X
ejpam-1597	772	4	27	27	NUM
ejpam-1597	772	5	]	]	PUNCT
ejpam-1597	772	6	j.	j.	PROPN
ejpam-1597	772	7	magnus	magnus	PROPN
ejpam-1597	772	8	.	.	PUNCT
ejpam-1597	773	1	the	the	DET
ejpam-1597	773	2	asymptotic	asymptotic	ADJ
ejpam-1597	773	3	variance	variance	NOUN
ejpam-1597	773	4	of	of	ADP
ejpam-1597	773	5	the	the	DET
ejpam-1597	773	6	pseudo	pseudo	NOUN
ejpam-1597	773	7	maximum	maximum	ADJ
ejpam-1597	773	8	likelihood	likelihood	NOUN
ejpam-1597	773	9	estimator	estimator	NOUN
ejpam-1597	773	10	.	.	PUNCT
ejpam-1597	773	11	econometric	econometric	PROPN
ejpam-1597	773	12	theory	theory	NOUN
ejpam-1597	773	13	,	,	PUNCT
ejpam-1597	773	14	23:1022–1032	23:1022–1032	NUM
ejpam-1597	773	15	,	,	PUNCT
ejpam-1597	773	16	2007	2007	NUM
ejpam-1597	773	17	.	.	PUNCT
ejpam-1597	774	1	[	[	X
ejpam-1597	774	2	28	28	NUM
ejpam-1597	774	3	]	]	X
ejpam-1597	774	4	j.	j.	PROPN
ejpam-1597	774	5	magnus	magnus	PROPN
ejpam-1597	774	6	and	and	CCONJ
ejpam-1597	774	7	h.	h.	PROPN
ejpam-1597	774	8	neudecker	neudecker	PROPN
ejpam-1597	774	9	.	.	PUNCT
ejpam-1597	775	1	matrix	matrix	NOUN
ejpam-1597	775	2	differential	differential	NOUN
ejpam-1597	775	3	calculus	calculus	NOUN
ejpam-1597	775	4	with	with	ADP
ejpam-1597	775	5	applications	application	NOUN
ejpam-1597	775	6	in	in	ADP
ejpam-1597	775	7	statistis	statistis	NOUN
ejpam-1597	775	8	and	and	CCONJ
ejpam-1597	775	9	econometrics	econometric	NOUN
ejpam-1597	775	10	.	.	PUNCT
ejpam-1597	776	1	wiley	wiley	PROPN
ejpam-1597	776	2	,	,	PUNCT
ejpam-1597	776	3	1988	1988	NUM
ejpam-1597	776	4	.	.	PUNCT
ejpam-1597	777	1	[	[	X
ejpam-1597	777	2	29	29	NUM
ejpam-1597	777	3	]	]	PUNCT
ejpam-1597	777	4	k.	k.	PROPN
ejpam-1597	777	5	mardia	mardia	PROPN
ejpam-1597	777	6	.	.	PUNCT
ejpam-1597	778	1	applications	application	NOUN
ejpam-1597	778	2	of	of	ADP
ejpam-1597	778	3	some	some	DET
ejpam-1597	778	4	measures	measure	NOUN
ejpam-1597	778	5	of	of	ADP
ejpam-1597	778	6	multivariate	multivariate	NOUN
ejpam-1597	778	7	skewness	skewness	NOUN
ejpam-1597	778	8	and	and	CCONJ
ejpam-1597	778	9	kurtosis	kurtosis	NOUN
ejpam-1597	778	10	in	in	ADP
ejpam-1597	778	11	testing	testing	NOUN
ejpam-1597	778	12	normality	normality	NOUN
ejpam-1597	778	13	and	and	CCONJ
ejpam-1597	778	14	robustness	robustness	NOUN
ejpam-1597	778	15	studies	study	NOUN
ejpam-1597	778	16	.	.	PUNCT
ejpam-1597	779	1	sankhya	sankhya	PROPN
ejpam-1597	779	2	,	,	PUNCT
ejpam-1597	779	3	b36:115–128	b36:115–128	NOUN
ejpam-1597	779	4	,	,	PUNCT
ejpam-1597	779	5	1974	1974	NUM
ejpam-1597	779	6	.	.	PUNCT
ejpam-1597	780	1	[	[	X
ejpam-1597	780	2	30	30	NUM
ejpam-1597	780	3	]	]	X
ejpam-1597	780	4	d.	d.	PROPN
ejpam-1597	780	5	poskitt	poskitt	VERB
ejpam-1597	780	6	.	.	PUNCT
ejpam-1597	781	1	precision	precision	NOUN
ejpam-1597	781	2	,	,	PUNCT
ejpam-1597	781	3	complexity	complexity	NOUN
ejpam-1597	781	4	and	and	CCONJ
ejpam-1597	781	5	bayesian	bayesian	NOUN
ejpam-1597	781	6	model	model	NOUN
ejpam-1597	781	7	determination	determination	NOUN
ejpam-1597	781	8	.	.	PUNCT
ejpam-1597	782	1	journal	journal	NOUN
ejpam-1597	782	2	of	of	ADP
ejpam-1597	782	3	the	the	DET
ejpam-1597	782	4	royal	royal	ADJ
ejpam-1597	782	5	statistical	statistical	ADJ
ejpam-1597	782	6	society	society	NOUN
ejpam-1597	782	7	,	,	PUNCT
ejpam-1597	782	8	series	series	NOUN
ejpam-1597	782	9	b	b	PROPN
ejpam-1597	782	10	(	(	PUNCT
ejpam-1597	782	11	methodological	methodological	ADJ
ejpam-1597	782	12	)	)	PUNCT
ejpam-1597	782	13	,	,	PUNCT
ejpam-1597	782	14	49(2):199–208	49(2):199–208	NOUN
ejpam-1597	782	15	,	,	PUNCT
ejpam-1597	782	16	1987	1987	NUM
ejpam-1597	782	17	.	.	PUNCT
ejpam-1597	783	1	[	[	X
ejpam-1597	783	2	31	31	NUM
ejpam-1597	783	3	]	]	PUNCT
ejpam-1597	783	4	s.	s.	PROPN
ejpam-1597	783	5	press	press	PROPN
ejpam-1597	783	6	.	.	PUNCT
ejpam-1597	784	1	estimation	estimation	NOUN
ejpam-1597	784	2	of	of	ADP
ejpam-1597	784	3	a	a	DET
ejpam-1597	784	4	normal	normal	ADJ
ejpam-1597	784	5	covariance	covariance	NOUN
ejpam-1597	784	6	matrix	matrix	NOUN
ejpam-1597	784	7	.	.	PUNCT
ejpam-1597	785	1	technical	technical	ADJ
ejpam-1597	785	2	report	report	PROPN
ejpam-1597	785	3	,	,	PUNCT
ejpam-1597	785	4	university	university	NOUN
ejpam-1597	785	5	of	of	ADP
ejpam-1597	785	6	british	british	PROPN
ejpam-1597	785	7	columbia	columbia	PROPN
ejpam-1597	785	8	,	,	PUNCT
ejpam-1597	785	9	1975	1975	NUM
ejpam-1597	785	10	.	.	PUNCT
ejpam-1597	786	1	[	[	X
ejpam-1597	786	2	32	32	NUM
ejpam-1597	786	3	]	]	PUNCT
ejpam-1597	786	4	c.	c.	PROPN
ejpam-1597	786	5	rao	rao	PROPN
ejpam-1597	786	6	.	.	PUNCT
ejpam-1597	787	1	information	information	NOUN
ejpam-1597	787	2	and	and	CCONJ
ejpam-1597	787	3	accuracy	accuracy	NOUN
ejpam-1597	787	4	attainable	attainable	ADJ
ejpam-1597	787	5	in	in	ADP
ejpam-1597	787	6	the	the	DET
ejpam-1597	787	7	estimation	estimation	NOUN
ejpam-1597	787	8	of	of	ADP
ejpam-1597	787	9	statistical	statistical	ADJ
ejpam-1597	787	10	parameters	parameter	NOUN
ejpam-1597	787	11	.	.	PUNCT
ejpam-1597	788	1	in	in	ADP
ejpam-1597	788	2	bulletin	bulletin	NOUN
ejpam-1597	788	3	of	of	ADP
ejpam-1597	788	4	the	the	DET
ejpam-1597	788	5	calcutta	calcutta	NOUN
ejpam-1597	788	6	math	math	NOUN
ejpam-1597	788	7	society	society	NOUN
ejpam-1597	788	8	,	,	PUNCT
ejpam-1597	788	9	volume	volume	NOUN
ejpam-1597	788	10	37	37	NUM
ejpam-1597	788	11	,	,	PUNCT
ejpam-1597	788	12	page	page	NOUN
ejpam-1597	788	13	81	81	NUM
ejpam-1597	788	14	,	,	PUNCT
ejpam-1597	788	15	1945	1945	NUM
ejpam-1597	788	16	.	.	PUNCT
ejpam-1597	789	1	[	[	X
ejpam-1597	789	2	33	33	NUM
ejpam-1597	789	3	]	]	X
ejpam-1597	789	4	c	c	PROPN
ejpam-1597	789	5	rao	rao	PROPN
ejpam-1597	789	6	.	.	PUNCT
ejpam-1597	790	1	minimum	minimum	ADJ
ejpam-1597	790	2	variance	variance	NOUN
ejpam-1597	790	3	and	and	CCONJ
ejpam-1597	790	4	the	the	DET
ejpam-1597	790	5	estimation	estimation	NOUN
ejpam-1597	790	6	of	of	ADP
ejpam-1597	790	7	several	several	ADJ
ejpam-1597	790	8	parameters	parameter	NOUN
ejpam-1597	790	9	.	.	PUNCT
ejpam-1597	791	1	in	in	ADP
ejpam-1597	791	2	proceedings	proceeding	NOUN
ejpam-1597	791	3	of	of	ADP
ejpam-1597	791	4	the	the	DET
ejpam-1597	791	5	cambridge	cambridge	PROPN
ejpam-1597	791	6	philosophical	philosophical	ADJ
ejpam-1597	791	7	society	society	NOUN
ejpam-1597	791	8	,	,	PUNCT
ejpam-1597	791	9	volume	volume	NOUN
ejpam-1597	791	10	43	43	NUM
ejpam-1597	791	11	,	,	PUNCT
ejpam-1597	791	12	page	page	NOUN
ejpam-1597	791	13	280	280	NUM
ejpam-1597	791	14	,	,	PUNCT
ejpam-1597	791	15	1947	1947	NUM
ejpam-1597	791	16	.	.	PUNCT
ejpam-1597	792	1	[	[	X
ejpam-1597	792	2	34	34	NUM
ejpam-1597	792	3	]	]	X
ejpam-1597	792	4	c.	c.	PROPN
ejpam-1597	792	5	rao	rao	PROPN
ejpam-1597	792	6	.	.	PUNCT
ejpam-1597	793	1	sufficient	sufficient	ADJ
ejpam-1597	793	2	statistics	statistic	NOUN
ejpam-1597	793	3	and	and	CCONJ
ejpam-1597	793	4	minimum	minimum	ADJ
ejpam-1597	793	5	variance	variance	NOUN
ejpam-1597	793	6	estimates	estimate	NOUN
ejpam-1597	793	7	.	.	PUNCT
ejpam-1597	794	1	in	in	ADP
ejpam-1597	794	2	proceedings	proceeding	NOUN
ejpam-1597	794	3	of	of	ADP
ejpam-1597	794	4	the	the	DET
ejpam-1597	794	5	cambridge	cambridge	PROPN
ejpam-1597	794	6	philosophical	philosophical	ADJ
ejpam-1597	794	7	society	society	NOUN
ejpam-1597	794	8	,	,	PUNCT
ejpam-1597	794	9	volume	volume	NOUN
ejpam-1597	794	10	45	45	NUM
ejpam-1597	794	11	,	,	PUNCT
ejpam-1597	794	12	page	page	NOUN
ejpam-1597	794	13	213	213	NUM
ejpam-1597	794	14	,	,	PUNCT
ejpam-1597	794	15	1948	1948	NUM
ejpam-1597	794	16	.	.	PUNCT
ejpam-1597	795	1	[	[	X
ejpam-1597	795	2	35	35	NUM
ejpam-1597	795	3	]	]	X
ejpam-1597	795	4	j.	j.	PROPN
ejpam-1597	795	5	rissanen	rissanen	PROPN
ejpam-1597	795	6	.	.	PUNCT
ejpam-1597	796	1	modeling	modeling	NOUN
ejpam-1597	796	2	by	by	ADP
ejpam-1597	796	3	shortest	short	ADJ
ejpam-1597	796	4	data	datum	NOUN
ejpam-1597	796	5	description	description	NOUN
ejpam-1597	796	6	.	.	PUNCT
ejpam-1597	797	1	automatica	automatica	PROPN
ejpam-1597	797	2	,	,	PUNCT
ejpam-1597	797	3	14:465–471	14:465–471	NUM
ejpam-1597	797	4	,	,	PUNCT
ejpam-1597	797	5	1978	1978	NUM
ejpam-1597	797	6	.	.	PUNCT
ejpam-1597	798	1	[	[	X
ejpam-1597	798	2	36	36	NUM
ejpam-1597	798	3	]	]	PUNCT
ejpam-1597	798	4	t.	t.	PROPN
ejpam-1597	798	5	sawa	sawa	PROPN
ejpam-1597	798	6	.	.	PUNCT
ejpam-1597	799	1	information	information	NOUN
ejpam-1597	799	2	criteria	criterion	NOUN
ejpam-1597	799	3	for	for	ADP
ejpam-1597	799	4	discriminating	discriminate	VERB
ejpam-1597	799	5	among	among	ADP
ejpam-1597	799	6	alternative	alternative	ADJ
ejpam-1597	799	7	regression	regression	NOUN
ejpam-1597	799	8	models	model	NOUN
ejpam-1597	799	9	.	.	PUNCT
ejpam-1597	800	1	econometrica	econometrica	PROPN
ejpam-1597	800	2	,	,	PUNCT
ejpam-1597	800	3	46:1273–1291	46:1273–1291	PROPN
ejpam-1597	800	4	,	,	PUNCT
ejpam-1597	800	5	1978	1978	NUM
ejpam-1597	800	6	.	.	PUNCT
ejpam-1597	801	1	[	[	X
ejpam-1597	801	2	37	37	NUM
ejpam-1597	801	3	]	]	X
ejpam-1597	801	4	g.	g.	PROPN
ejpam-1597	801	5	schwarz	schwarz	PROPN
ejpam-1597	801	6	.	.	PUNCT
ejpam-1597	802	1	estimating	estimate	VERB
ejpam-1597	802	2	the	the	DET
ejpam-1597	802	3	dimension	dimension	NOUN
ejpam-1597	802	4	of	of	ADP
ejpam-1597	802	5	a	a	DET
ejpam-1597	802	6	model	model	NOUN
ejpam-1597	802	7	.	.	PUNCT
ejpam-1597	803	1	annals	annal	NOUN
ejpam-1597	803	2	of	of	ADP
ejpam-1597	803	3	statistics	statistic	NOUN
ejpam-1597	803	4	,	,	PUNCT
ejpam-1597	803	5	6:461–464	6:461–464	PROPN
ejpam-1597	803	6	,	,	PUNCT
ejpam-1597	803	7	1978	1978	NUM
ejpam-1597	803	8	.	.	PUNCT
ejpam-1597	804	1	[	[	X
ejpam-1597	804	2	38	38	NUM
ejpam-1597	804	3	]	]	PUNCT
ejpam-1597	804	4	r.	r.	PROPN
ejpam-1597	804	5	shibata	shibata	PROPN
ejpam-1597	804	6	.	.	PUNCT
ejpam-1597	805	1	statistical	statistical	ADJ
ejpam-1597	805	2	aspects	aspect	NOUN
ejpam-1597	805	3	of	of	ADP
ejpam-1597	805	4	model	model	NOUN
ejpam-1597	805	5	selection	selection	NOUN
ejpam-1597	805	6	.	.	PUNCT
ejpam-1597	806	1	in	in	ADP
ejpam-1597	806	2	j.c	j.c	PROPN
ejpam-1597	806	3	.	.	PROPN
ejpam-1597	806	4	williams	williams	PROPN
ejpam-1597	806	5	,	,	PUNCT
ejpam-1597	806	6	editor	editor	NOUN
ejpam-1597	806	7	,	,	PUNCT
ejpam-1597	806	8	from	from	ADP
ejpam-1597	806	9	data	datum	NOUN
ejpam-1597	806	10	to	to	ADP
ejpam-1597	806	11	modeling	modeling	NOUN
ejpam-1597	806	12	,	,	PUNCT
ejpam-1597	806	13	pages	page	NOUN
ejpam-1597	806	14	216–240	216–240	NUM
ejpam-1597	806	15	.	.	PUNCT
ejpam-1597	806	16	springer	springer	NOUN
ejpam-1597	806	17	,	,	PUNCT
ejpam-1597	806	18	berlin	berlin	PROPN
ejpam-1597	806	19	,	,	PUNCT
ejpam-1597	806	20	1989	1989	NUM
ejpam-1597	806	21	.	.	PUNCT
ejpam-1597	807	1	[	[	X
ejpam-1597	807	2	39	39	NUM
ejpam-1597	807	3	]	]	PUNCT
ejpam-1597	807	4	a.	a.	NOUN
ejpam-1597	807	5	shurygin	shurygin	NOUN
ejpam-1597	807	6	.	.	PUNCT
ejpam-1597	808	1	the	the	DET
ejpam-1597	808	2	linear	linear	ADJ
ejpam-1597	808	3	combination	combination	NOUN
ejpam-1597	808	4	of	of	ADP
ejpam-1597	808	5	the	the	DET
ejpam-1597	808	6	simplest	simple	ADJ
ejpam-1597	808	7	discriminator	discriminator	NOUN
ejpam-1597	808	8	and	and	CCONJ
ejpam-1597	808	9	fisher	fisher	PROPN
ejpam-1597	808	10	’s	’s	PART
ejpam-1597	808	11	one	one	NUM
ejpam-1597	808	12	.	.	PUNCT
ejpam-1597	809	1	in	in	ADP
ejpam-1597	809	2	nauka	nauka	PROPN
ejpam-1597	809	3	,	,	PUNCT
ejpam-1597	809	4	editor	editor	NOUN
ejpam-1597	809	5	,	,	PUNCT
ejpam-1597	809	6	applied	apply	VERB
ejpam-1597	809	7	statistics	statistic	NOUN
ejpam-1597	809	8	.	.	PUNCT
ejpam-1597	810	1	moscow	moscow	PROPN
ejpam-1597	810	2	,	,	PUNCT
ejpam-1597	810	3	russia	russia	PROPN
ejpam-1597	810	4	,	,	PUNCT
ejpam-1597	810	5	1983	1983	NUM
ejpam-1597	810	6	.	.	PUNCT
ejpam-1597	811	1	[	[	X
ejpam-1597	811	2	40	40	NUM
ejpam-1597	811	3	]	]	PUNCT
ejpam-1597	811	4	k.	k.	PROPN
ejpam-1597	811	5	takeuchi	takeuchi	PROPN
ejpam-1597	811	6	.	.	PUNCT
ejpam-1597	812	1	distribution	distribution	NOUN
ejpam-1597	812	2	of	of	ADP
ejpam-1597	812	3	information	information	NOUN
ejpam-1597	812	4	statistics	statistic	NOUN
ejpam-1597	812	5	and	and	CCONJ
ejpam-1597	812	6	criterion	criterion	NOUN
ejpam-1597	812	7	of	of	ADP
ejpam-1597	812	8	model	model	NOUN
ejpam-1597	812	9	fitting	fitting	ADJ
ejpam-1597	812	10	.	.	PUNCT
ejpam-1597	813	1	surikagaku	surikagaku	PROPN
ejpam-1597	813	2	(	(	PUNCT
ejpam-1597	813	3	mathematical	mathematical	ADJ
ejpam-1597	813	4	sciences	science	NOUN
ejpam-1597	813	5	)	)	PUNCT
ejpam-1597	813	6	,	,	PUNCT
ejpam-1597	813	7	153:12–18	153:12–18	NUM
ejpam-1597	813	8	,	,	PUNCT
ejpam-1597	813	9	1976	1976	NUM
ejpam-1597	813	10	.	.	PUNCT
ejpam-1597	814	1	in	in	ADP
ejpam-1597	814	2	japanese	japanese	PROPN
ejpam-1597	814	3	.	.	PUNCT
ejpam-1597	815	1	[	[	X
ejpam-1597	815	2	41	41	NUM
ejpam-1597	815	3	]	]	X
ejpam-1597	815	4	c.	c.	PROPN
ejpam-1597	815	5	thomaz	thomaz	PROPN
ejpam-1597	815	6	.	.	PUNCT
ejpam-1597	816	1	maximum	maximum	PROPN
ejpam-1597	816	2	entropy	entropy	PROPN
ejpam-1597	816	3	covariance	covariance	NOUN
ejpam-1597	816	4	estimate	estimate	NOUN
ejpam-1597	816	5	for	for	ADP
ejpam-1597	816	6	statistical	statistical	ADJ
ejpam-1597	816	7	pattern	pattern	NOUN
ejpam-1597	816	8	recognition	recognition	NOUN
ejpam-1597	816	9	.	.	PUNCT
ejpam-1597	817	1	phd	phd	NOUN
ejpam-1597	817	2	thesis	thesis	PROPN
ejpam-1597	817	3	,	,	PUNCT
ejpam-1597	817	4	university	university	NOUN
ejpam-1597	817	5	of	of	ADP
ejpam-1597	817	6	london	london	PROPN
ejpam-1597	817	7	and	and	CCONJ
ejpam-1597	817	8	for	for	ADP
ejpam-1597	817	9	the	the	DET
ejpam-1597	817	10	diploma	diploma	NOUN
ejpam-1597	817	11	of	of	ADP
ejpam-1597	817	12	the	the	DET
ejpam-1597	817	13	imperial	imperial	ADJ
ejpam-1597	817	14	college	college	PROPN
ejpam-1597	817	15	(	(	PUNCT
ejpam-1597	817	16	d.i.c	d.i.c	PROPN
ejpam-1597	817	17	.	.	PUNCT
ejpam-1597	817	18	)	)	PUNCT
ejpam-1597	817	19	,	,	PUNCT
ejpam-1597	817	20	2004	2004	NUM
ejpam-1597	817	21	.	.	PUNCT
ejpam-1597	818	1	[	[	X
ejpam-1597	818	2	42	42	NUM
ejpam-1597	818	3	]	]	PUNCT
ejpam-1597	818	4	m.	m.	NOUN
ejpam-1597	818	5	van	van	PROPN
ejpam-1597	818	6	emden	emden	PROPN
ejpam-1597	818	7	.	.	PUNCT
ejpam-1597	819	1	an	an	DET
ejpam-1597	819	2	analysis	analysis	NOUN
ejpam-1597	819	3	of	of	ADP
ejpam-1597	819	4	complexity	complexity	NOUN
ejpam-1597	819	5	.	.	PUNCT
ejpam-1597	820	1	in	in	ADP
ejpam-1597	820	2	mathematical	mathematical	ADJ
ejpam-1597	820	3	centre	centre	NOUN
ejpam-1597	820	4	tracts	tract	NOUN
ejpam-1597	820	5	,	,	PUNCT
ejpam-1597	820	6	volume	volume	NOUN
ejpam-1597	820	7	35	35	NUM
ejpam-1597	820	8	.	.	PUNCT
ejpam-1597	820	9	mathematisch	mathematisch	PROPN
ejpam-1597	820	10	centrum	centrum	PROPN
ejpam-1597	820	11	,	,	PUNCT
ejpam-1597	820	12	1971	1971	NUM
ejpam-1597	820	13	.	.	PUNCT
ejpam-1597	821	1	[	[	X
ejpam-1597	821	2	43	43	NUM
ejpam-1597	821	3	]	]	X
ejpam-1597	821	4	c.	c.	PROPN
ejpam-1597	821	5	wei	wei	PROPN
ejpam-1597	821	6	.	.	PUNCT
ejpam-1597	822	1	on	on	ADP
ejpam-1597	822	2	predictive	predictive	ADJ
ejpam-1597	822	3	least	least	ADJ
ejpam-1597	822	4	squares	square	NOUN
ejpam-1597	822	5	principles	principle	NOUN
ejpam-1597	822	6	.	.	PUNCT
ejpam-1597	823	1	annals	annal	NOUN
ejpam-1597	823	2	of	of	ADP
ejpam-1597	823	3	statistics	statistic	NOUN
ejpam-1597	823	4	,	,	PUNCT
ejpam-1597	823	5	20:1–42	20:1–42	NUM
ejpam-1597	823	6	,	,	PUNCT
ejpam-1597	823	7	1992	1992	NUM
ejpam-1597	823	8	.	.	PUNCT
ejpam-1597	824	1	references	reference	NOUN
ejpam-1597	824	2	246	246	NUM
ejpam-1597	825	1	[	[	X
ejpam-1597	825	2	44	44	NUM
ejpam-1597	825	3	]	]	X
ejpam-1597	825	4	h.	h.	PROPN
ejpam-1597	825	5	white	white	PROPN
ejpam-1597	825	6	.	.	PUNCT
ejpam-1597	826	1	maximum	maximum	ADJ
ejpam-1597	826	2	likelihood	likelihood	NOUN
ejpam-1597	826	3	estimation	estimation	NOUN
ejpam-1597	826	4	of	of	ADP
ejpam-1597	826	5	misspecified	misspecifie	VERB
ejpam-1597	826	6	models	model	NOUN
ejpam-1597	826	7	.	.	PUNCT
ejpam-1597	827	1	econometrica	econometrica	PROPN
ejpam-1597	827	2	,	,	PUNCT
ejpam-1597	827	3	50:1	50:1	NUM
ejpam-1597	827	4	–	–	PUNCT
ejpam-1597	827	5	25	25	NUM
ejpam-1597	827	6	,	,	PUNCT
ejpam-1597	827	7	1982	1982	NUM
ejpam-1597	827	8	.	.	PUNCT
ejpam-1597	828	1	[	[	X
ejpam-1597	828	2	45	45	NUM
ejpam-1597	828	3	]	]	X
ejpam-1597	828	4	h.	h.	PROPN
ejpam-1597	828	5	white	white	PROPN
ejpam-1597	828	6	.	.	PUNCT
ejpam-1597	829	1	estimation	estimation	NOUN
ejpam-1597	829	2	,	,	PUNCT
ejpam-1597	829	3	inference	inference	NOUN
ejpam-1597	829	4	,	,	PUNCT
ejpam-1597	829	5	and	and	CCONJ
ejpam-1597	829	6	specification	specification	NOUN
ejpam-1597	829	7	analysis	analysis	NOUN
ejpam-1597	829	8	.	.	PUNCT
ejpam-1597	830	1	cambridge	cambridge	PROPN
ejpam-1597	830	2	university	university	PROPN
ejpam-1597	830	3	press	press	PROPN
ejpam-1597	830	4	,	,	PUNCT
ejpam-1597	830	5	cambridge	cambridge	PROPN
ejpam-1597	830	6	,	,	PUNCT
ejpam-1597	830	7	1994	1994	NUM
ejpam-1597	830	8	.	.	PUNCT
ejpam-1597	831	1	appendices	appendix	NOUN
ejpam-1597	831	2	in	in	ADP
ejpam-1597	831	3	what	what	PRON
ejpam-1597	831	4	follows	follow	VERB
ejpam-1597	831	5	,	,	PUNCT
ejpam-1597	831	6	for	for	ADP
ejpam-1597	831	7	the	the	DET
ejpam-1597	831	8	completeness	completeness	NOUN
ejpam-1597	831	9	of	of	ADP
ejpam-1597	831	10	the	the	DET
ejpam-1597	831	11	paper	paper	NOUN
ejpam-1597	831	12	and	and	CCONJ
ejpam-1597	831	13	the	the	DET
ejpam-1597	831	14	benefit	benefit	NOUN
ejpam-1597	831	15	of	of	ADP
ejpam-1597	831	16	the	the	DET
ejpam-1597	831	17	readers	reader	NOUN
ejpam-1597	831	18	,	,	PUNCT
ejpam-1597	831	19	we	we	PRON
ejpam-1597	831	20	repeat	repeat	VERB
ejpam-1597	831	21	necessary	necessary	ADJ
ejpam-1597	831	22	matrix	matrix	NOUN
ejpam-1597	831	23	calculus	calculus	NOUN
ejpam-1597	831	24	derivations	derivation	NOUN
ejpam-1597	831	25	of	of	ADP
ejpam-1597	831	26	the	the	DET
ejpam-1597	831	27	outer	outer	ADJ
ejpam-1597	831	28	-	-	PUNCT
ejpam-1597	831	29	product	product	NOUN
ejpam-1597	831	30	form	form	NOUN
ejpam-1597	831	31	of	of	ADP
ejpam-1597	831	32	the	the	DET
ejpam-1597	831	33	fisher	fisher	PROPN
ejpam-1597	831	34	information	information	NOUN
ejpam-1597	831	35	matrix	matrix	NOUN
ejpam-1597	831	36	and	and	CCONJ
ejpam-1597	831	37	the	the	DET
ejpam-1597	831	38	misspecification	misspecification	NOUN
ejpam-1597	831	39	resistent	resistent	ADJ
ejpam-1597	831	40	sandwich	sandwich	NOUN
ejpam-1597	831	41	covariance	covariance	NOUN
ejpam-1597	831	42	matrix	matrix	NOUN
ejpam-1597	831	43	for	for	ADP
ejpam-1597	831	44	the	the	DET
ejpam-1597	831	45	mvr	mvr	PROPN
ejpam-1597	831	46	model	model	NOUN
ejpam-1597	831	47	given	give	VERB
ejpam-1597	831	48	in	in	ADP
ejpam-1597	831	49	[	[	NOUN
ejpam-1597	831	50	27	27	NUM
ejpam-1597	831	51	]	]	PUNCT
ejpam-1597	831	52	to	to	PART
ejpam-1597	831	53	derive	derive	VERB
ejpam-1597	831	54	the	the	DET
ejpam-1597	831	55	icom	icom	PROPN
ejpam-1597	831	56	p	p	PROPN
ejpam-1597	831	57	criterion	criterion	NOUN
ejpam-1597	831	58	and	and	CCONJ
ejpam-1597	831	59	its	its	PRON
ejpam-1597	831	60	different	different	ADJ
ejpam-1597	831	61	forms	form	NOUN
ejpam-1597	831	62	.	.	PUNCT
ejpam-1597	832	1	appendix	appendix	NOUN
ejpam-1597	832	2	1	1	NUM
ejpam-1597	832	3	:	:	PUNCT
ejpam-1597	832	4	outer	outer	ADJ
ejpam-1597	832	5	-	-	PUNCT
ejpam-1597	832	6	product	product	NOUN
ejpam-1597	832	7	form	form	NOUN
ejpam-1597	832	8	of	of	ADP
ejpam-1597	832	9	the	the	DET
ejpam-1597	832	10	fisher	fisher	PROPN
ejpam-1597	832	11	information	information	NOUN
ejpam-1597	832	12	matrix	matrix	NOUN
ejpam-1597	832	13	for	for	ADP
ejpam-1597	832	14	the	the	DET
ejpam-1597	832	15	mvr	mvr	PROPN
ejpam-1597	832	16	model	model	NOUN
ejpam-1597	832	17	when	when	SCONJ
ejpam-1597	832	18	the	the	DET
ejpam-1597	832	19	mvr	mvr	PROPN
ejpam-1597	832	20	model	model	NOUN
ejpam-1597	832	21	is	be	AUX
ejpam-1597	832	22	misspecified	misspecifie	VERB
ejpam-1597	832	23	,	,	PUNCT
ejpam-1597	832	24	in	in	ADP
ejpam-1597	832	25	order	order	NOUN
ejpam-1597	832	26	to	to	PART
ejpam-1597	832	27	obtain	obtain	VERB
ejpam-1597	832	28	the	the	DET
ejpam-1597	832	29	outer	outer	ADJ
ejpam-1597	832	30	-	-	PUNCT
ejpam-1597	832	31	product	product	NOUN
ejpam-1597	832	32	form	form	NOUN
ejpam-1597	832	33	of	of	ADP
ejpam-1597	832	34	the	the	DET
ejpam-1597	832	35	information	information	NOUN
ejpam-1597	832	36	matrix	matrix	NOUN
ejpam-1597	832	37	we	we	PRON
ejpam-1597	832	38	standardize	standardize	VERB
ejpam-1597	832	39	y	y	PROPN
ejpam-1597	832	40	by	by	ADP
ejpam-1597	832	41	defining	define	VERB
ejpam-1597	832	42	z	z	NOUN
ejpam-1597	832	43	=	=	SYM
ejpam-1597	832	44	(	(	PUNCT
ejpam-1597	832	45	y	y	PROPN
ejpam-1597	832	46	−	−	PROPN
ejpam-1597	832	47	x	x	PUNCT
ejpam-1597	832	48	b)σ−1/2	b)σ−1/2	PROPN
ejpam-1597	832	49	,	,	PUNCT
ejpam-1597	832	50	so	so	SCONJ
ejpam-1597	832	51	that	that	SCONJ
ejpam-1597	832	52	e	e	X
ejpam-1597	832	53	(	(	PUNCT
ejpam-1597	832	54	z	z	NOUN
ejpam-1597	832	55	)	)	PUNCT
ejpam-1597	832	56	=	=	SYM
ejpam-1597	832	57	0	0	NUM
ejpam-1597	832	58	,	,	PUNCT
ejpam-1597	832	59	var(vec	var(vec	NOUN
ejpam-1597	832	60	z	z	X
ejpam-1597	832	61	)	)	PUNCT
ejpam-1597	832	62	=	=	SYM
ejpam-1597	832	63	ipn	ipn	PROPN
ejpam-1597	832	64	,	,	PUNCT
ejpam-1597	832	65	and	and	CCONJ
ejpam-1597	832	66	introduce	introduce	VERB
ejpam-1597	832	67	matrix	matrix	NOUN
ejpam-1597	832	68	generalizations	generalization	NOUN
ejpam-1597	832	69	of	of	ADP
ejpam-1597	832	70	the	the	DET
ejpam-1597	832	71	usual	usual	ADJ
ejpam-1597	832	72	skewness	skewness	NOUN
ejpam-1597	832	73	and	and	CCONJ
ejpam-1597	832	74	kurtosis	kurtosis	VERB
ejpam-1597	832	75	measures	measure	NOUN
ejpam-1597	832	76	by	by	ADP
ejpam-1597	832	77	defining	define	VERB
ejpam-1597	832	78	γ1	γ1	NOUN
ejpam-1597	832	79	=	=	SYM
ejpam-1597	832	80	e	e	X
ejpam-1597	832	81	�	�	PROPN
ejpam-1597	832	82	(	(	PUNCT
ejpam-1597	832	83	vec	vec	PROPN
ejpam-1597	832	84	z)(vec	z)(vec	PROPN
ejpam-1597	832	85	(	(	PUNCT
ejpam-1597	832	86	z	z	NOUN
ejpam-1597	832	87	′z	′z	VERB
ejpam-1597	832	88	−	−	PROPN
ejpam-1597	832	89	nip	nip	NOUN
ejpam-1597	832	90	)	)	PUNCT
ejpam-1597	832	91	�	�	PROPN
ejpam-1597	832	92	′	′	NUM
ejpam-1597	832	93	,	,	PUNCT
ejpam-1597	832	94	γ2	γ2	NOUN
ejpam-1597	832	95	=	=	SYM
ejpam-1597	832	96	e	e	X
ejpam-1597	832	97	�	�	PROPN
ejpam-1597	832	98	(	(	PUNCT
ejpam-1597	832	99	vec	vec	PROPN
ejpam-1597	832	100	z	z	PROPN
ejpam-1597	832	101	′z)(vec	′z)(vec	PROPN
ejpam-1597	832	102	z	z	PROPN
ejpam-1597	832	103	′z	′z	PROPN
ejpam-1597	832	104	)	)	PUNCT
ejpam-1597	832	105	�	�	PROPN
ejpam-1597	832	106	′	′	NUM
ejpam-1597	832	107	.	.	PUNCT
ejpam-1597	833	1	in	in	ADP
ejpam-1597	833	2	the	the	DET
ejpam-1597	833	3	special	special	ADJ
ejpam-1597	833	4	case	case	NOUN
ejpam-1597	833	5	of	of	ADP
ejpam-1597	833	6	correct	correct	ADJ
ejpam-1597	833	7	specification	specification	NOUN
ejpam-1597	833	8	,	,	PUNCT
ejpam-1597	833	9	these	these	PRON
ejpam-1597	833	10	specialize	specialize	NOUN
ejpam-1597	833	11	to	to	ADP
ejpam-1597	833	12	γ1	γ1	NOUN
ejpam-1597	833	13	=	=	SYM
ejpam-1597	833	14	0	0	NUM
ejpam-1597	833	15	,	,	PUNCT
ejpam-1597	833	16	γ2	γ2	NOUN
ejpam-1597	833	17	=	=	SYM
ejpam-1597	834	1	2nnp	2nnp	NUM
ejpam-1597	834	2	+	+	NUM
ejpam-1597	834	3	n2(vec	n2(vec	NUM
ejpam-1597	834	4	ip)(vec	ip)(vec	NUM
ejpam-1597	834	5	ip	ip	NOUN
ejpam-1597	834	6	)	)	PUNCT
ejpam-1597	834	7	′	′	NOUN
ejpam-1597	834	8	,	,	PUNCT
ejpam-1597	834	9	(	(	PUNCT
ejpam-1597	834	10	91	91	NUM
ejpam-1597	834	11	)	)	PUNCT
ejpam-1597	834	12	where	where	SCONJ
ejpam-1597	834	13	np	np	PROPN
ejpam-1597	834	14	denotes	denote	VERB
ejpam-1597	834	15	the	the	DET
ejpam-1597	834	16	p2	p2	PROPN
ejpam-1597	834	17	×	×	NOUN
ejpam-1597	834	18	p2	p2	NOUN
ejpam-1597	834	19	symmetrizer	symmetrizer	NOUN
ejpam-1597	834	20	matrix	matrix	NOUN
ejpam-1597	834	21	.	.	PUNCT
ejpam-1597	835	1	the	the	DET
ejpam-1597	835	2	symmetrizer	symmetrizer	NOUN
ejpam-1597	835	3	matrix	matrix	NOUN
ejpam-1597	835	4	has	have	VERB
ejpam-1597	835	5	the	the	DET
ejpam-1597	835	6	property	property	NOUN
ejpam-1597	835	7	(	(	PUNCT
ejpam-1597	835	8	for	for	ADP
ejpam-1597	835	9	a	a	DET
ejpam-1597	835	10	square	square	ADJ
ejpam-1597	835	11	matrix	matrix	NOUN
ejpam-1597	835	12	a	a	PRON
ejpam-1597	835	13	of	of	ADP
ejpam-1597	835	14	dimensions	dimension	NOUN
ejpam-1597	835	15	p	p	X
ejpam-1597	835	16	)	)	PUNCT
ejpam-1597	835	17	np	np	INTJ
ejpam-1597	835	18	veca	veca	NOUN
ejpam-1597	835	19	=	=	NOUN
ejpam-1597	835	20	1	1	NUM
ejpam-1597	835	21	2	2	NUM
ejpam-1597	835	22	vec	vec	NOUN
ejpam-1597	835	23	(	(	PUNCT
ejpam-1597	835	24	a+	a+	PUNCT
ejpam-1597	835	25	a′	a′	PROPN
ejpam-1597	835	26	)	)	PUNCT
ejpam-1597	835	27	.	.	PUNCT
ejpam-1597	836	1	if	if	SCONJ
ejpam-1597	836	2	n	n	NOUN
ejpam-1597	836	3	=	=	SYM
ejpam-1597	836	4	p	p	NOUN
ejpam-1597	836	5	=	=	SYM
ejpam-1597	836	6	1	1	NUM
ejpam-1597	836	7	,	,	PUNCT
ejpam-1597	836	8	the	the	DET
ejpam-1597	836	9	kurtosis	kurtosis	NOUN
ejpam-1597	836	10	further	far	ADV
ejpam-1597	836	11	specializes	specialize	VERB
ejpam-1597	836	12	to	to	ADP
ejpam-1597	836	13	γ2	γ2	NOUN
ejpam-1597	836	14	=	=	SYM
ejpam-1597	836	15	3	3	NUM
ejpam-1597	836	16	,	,	PUNCT
ejpam-1597	836	17	as	as	SCONJ
ejpam-1597	836	18	expected	expect	VERB
ejpam-1597	836	19	.	.	PUNCT
ejpam-1597	837	1	we	we	PRON
ejpam-1597	837	2	now	now	ADV
ejpam-1597	837	3	evaluate	evaluate	VERB
ejpam-1597	837	4	e	e	X
ejpam-1597	837	5	�	�	PROPN
ejpam-1597	837	6	(	(	PUNCT
ejpam-1597	837	7	d	d	NOUN
ejpam-1597	837	8	log	log	VERB
ejpam-1597	837	9	l(θ	l(θ	PRON
ejpam-1597	837	10	|	|	ADV
ejpam-1597	837	11	y))2	y))2	PROPN
ejpam-1597	837	12	�	�	PROPN
ejpam-1597	837	13	.	.	PUNCT
ejpam-1597	838	1	squaring	square	VERB
ejpam-1597	838	2	(	(	PUNCT
ejpam-1597	838	3	7	7	X
ejpam-1597	838	4	)	)	PUNCT
ejpam-1597	838	5	yields	yield	NOUN
ejpam-1597	838	6	(	(	PUNCT
ejpam-1597	838	7	d	d	NOUN
ejpam-1597	838	8	log	log	VERB
ejpam-1597	838	9	l(θ	l(θ	PRON
ejpam-1597	838	10	|	|	ADV
ejpam-1597	838	11	y))2	y))2	NOUN
ejpam-1597	838	12	=	=	PUNCT
ejpam-1597	838	13	(	(	PUNCT
ejpam-1597	838	14	1	1	NUM
ejpam-1597	838	15	2	2	NUM
ejpam-1597	838	16	tr(σ−1/2z	tr(σ−1/2z	NOUN
ejpam-1597	838	17	′zς−1/2	′zς−1/2	NOUN
ejpam-1597	838	18	−	−	PROPN
ejpam-1597	838	19	nς−1)dς+	nς−1)dς+	NOUN
ejpam-1597	838	20	trς−1/2z	trς−1/2z	NOUN
ejpam-1597	838	21	′x	′x	PROPN
ejpam-1597	838	22	d	d	X
ejpam-1597	838	23	b)2	b)2	PROPN
ejpam-1597	838	24	.	.	PUNCT
ejpam-1597	839	1	letting	let	VERB
ejpam-1597	839	2	∆=	∆=	VERB
ejpam-1597	839	3	d′p(σ	d′p(σ	PROPN
ejpam-1597	839	4	−1/2	−1/2	VERB
ejpam-1597	839	5	⊗σ−1/2)dp	⊗σ−1/2)dp	NOUN
ejpam-1597	839	6	,	,	PUNCT
ejpam-1597	839	7	we	we	PRON
ejpam-1597	839	8	thus	thus	ADV
ejpam-1597	839	9	obtain	obtain	VERB
ejpam-1597	839	10	e	e	X
ejpam-1597	839	11	�	�	X
ejpam-1597	839	12	(	(	PUNCT
ejpam-1597	839	13	d	d	NOUN
ejpam-1597	839	14	log	log	VERB
ejpam-1597	839	15	l(θ	l(θ	PRON
ejpam-1597	839	16	|	|	ADV
ejpam-1597	839	17	y))2	y))2	PROPN
ejpam-1597	839	18	�	�	PROPN
ejpam-1597	840	1	=	=	NOUN
ejpam-1597	840	2	1	1	NUM
ejpam-1597	840	3	4	4	NUM
ejpam-1597	840	4	e	e	X
ejpam-1597	840	5	�	�	PROPN
ejpam-1597	840	6	tr(σ−1/2z	tr(σ−1/2z	PROPN
ejpam-1597	840	7	′zς−1/2	′zς−1/2	PROPN
ejpam-1597	840	8	−	−	PROPN
ejpam-1597	840	9	nς−1)dς	nς−1)dς	ADJ
ejpam-1597	840	10	�	�	ADP
ejpam-1597	840	11	2	2	NUM
ejpam-1597	840	12	+	+	CCONJ
ejpam-1597	840	13	e	e	X
ejpam-1597	840	14	�	�	NOUN
ejpam-1597	840	15	trς−1/2z	trς−1/2z	NOUN
ejpam-1597	840	16	′x	′x	PROPN
ejpam-1597	840	17	d	d	PROPN
ejpam-1597	840	18	b	b	X
ejpam-1597	840	19	�	�	PROPN
ejpam-1597	840	20	2	2	NUM
ejpam-1597	840	21	+	+	PROPN
ejpam-1597	840	22	e	e	PROPN
ejpam-1597	840	23	�	�	PROPN
ejpam-1597	840	24	tr(σ−1/2z	tr(σ−1/2z	PROPN
ejpam-1597	840	25	′zς−1/2	′zς−1/2	PROPN
ejpam-1597	840	26	−	−	PROPN
ejpam-1597	840	27	nς−1)dς	nς−1)dς	PROPN
ejpam-1597	840	28	�	�	PROPN
ejpam-1597	840	29	(	(	PUNCT
ejpam-1597	840	30	trς−1/2z	trς−1/2z	NOUN
ejpam-1597	840	31	′x	′x	PROPN
ejpam-1597	840	32	d	d	PROPN
ejpam-1597	840	33	b	b	NOUN
ejpam-1597	840	34	)	)	PUNCT
ejpam-1597	840	35	references	reference	NOUN
ejpam-1597	840	36	247	247	NUM
ejpam-1597	840	37	=	=	SYM
ejpam-1597	840	38	1	1	NUM
ejpam-1597	840	39	4	4	NUM
ejpam-1597	840	40	(	(	PUNCT
ejpam-1597	840	41	dvecς)′(σ−1/2	dvecς)′(σ−1/2	VERB
ejpam-1597	840	42	⊗σ−1/2)var(vec	⊗σ−1/2)var(vec	PROPN
ejpam-1597	840	43	z	z	PROPN
ejpam-1597	840	44	′z)(σ−1/2	′z)(σ−1/2	PROPN
ejpam-1597	840	45	⊗σ−1/2)dvecς	⊗σ−1/2)dvecς	PROPN
ejpam-1597	840	46	+	+	PROPN
ejpam-1597	840	47	(	(	PUNCT
ejpam-1597	840	48	dvec	dvec	NOUN
ejpam-1597	840	49	b)′(σ−1/2	b)′(σ−1/2	PROPN
ejpam-1597	840	50	⊗	⊗	PROPN
ejpam-1597	840	51	x	x	SYM
ejpam-1597	840	52	′)var(vec	′)var(vec	PROPN
ejpam-1597	840	53	z)(σ−1/2	z)(σ−1/2	PROPN
ejpam-1597	840	54	⊗	⊗	PROPN
ejpam-1597	840	55	x	x	PUNCT
ejpam-1597	840	56	)	)	PUNCT
ejpam-1597	840	57	dvec	dvec	NOUN
ejpam-1597	840	58	b	b	X
ejpam-1597	841	1	+	+	NOUN
ejpam-1597	841	2	(	(	PUNCT
ejpam-1597	841	3	dvecς)′(σ−1/2	dvecς)′(σ−1/2	VERB
ejpam-1597	841	4	⊗σ−1/2)γ′1(σ	⊗σ−1/2)γ′1(σ	PROPN
ejpam-1597	841	5	−1/2	−1/2	ADJ
ejpam-1597	841	6	⊗	⊗	PROPN
ejpam-1597	841	7	x	x	SYM
ejpam-1597	841	8	)	)	PUNCT
ejpam-1597	841	9	dvec	dvec	NOUN
ejpam-1597	841	10	b	b	NOUN
ejpam-1597	841	11	=	=	SYM
ejpam-1597	841	12	1	1	NUM
ejpam-1597	841	13	4	4	NUM
ejpam-1597	841	14	(	(	PUNCT
ejpam-1597	841	15	dvech(σ))′∆d+p	dvech(σ))′∆d+p	PROPN
ejpam-1597	841	16	(	(	PUNCT
ejpam-1597	841	17	γ2	γ2	PROPN
ejpam-1597	841	18	−	−	PROPN
ejpam-1597	841	19	n2(vec	n2(vec	PROPN
ejpam-1597	841	20	ip)(vec	ip)(vec	X
ejpam-1597	841	21	ip	ip	NOUN
ejpam-1597	841	22	)	)	PUNCT
ejpam-1597	841	23	′)d+′p	′)d+′p	NOUN
ejpam-1597	841	24	∆dvech(σ	∆dvech(σ	NOUN
ejpam-1597	841	25	)	)	PUNCT
ejpam-1597	842	1	+	+	ADJ
ejpam-1597	842	2	(	(	PUNCT
ejpam-1597	842	3	dvec	dvec	NOUN
ejpam-1597	842	4	b)′(σ−1	b)′(σ−1	PUNCT
ejpam-1597	842	5	⊗	⊗	PROPN
ejpam-1597	842	6	x	x	SYM
ejpam-1597	842	7	′x	′x	NOUN
ejpam-1597	842	8	)	)	PUNCT
ejpam-1597	842	9	dvec	dvec	NOUN
ejpam-1597	842	10	b	b	X
ejpam-1597	843	1	+	+	NOUN
ejpam-1597	843	2	(	(	PUNCT
ejpam-1597	843	3	dvech(σ))′∆d+p	dvech(σ))′∆d+p	PROPN
ejpam-1597	843	4	γ	γ	PROPN
ejpam-1597	843	5	′	′	NUM
ejpam-1597	843	6	1(σ	1(σ	NUM
ejpam-1597	843	7	−1/2	−1/2	ADJ
ejpam-1597	843	8	⊗	⊗	PROPN
ejpam-1597	843	9	x	x	PUNCT
ejpam-1597	843	10	)	)	PUNCT
ejpam-1597	843	11	d	d	PROPN
ejpam-1597	843	12	vec	vec	PROPN
ejpam-1597	843	13	b.	b.	PROPN
ejpam-1597	843	14	hence	hence	ADV
ejpam-1597	843	15	,	,	PUNCT
ejpam-1597	843	16	e	e	X
ejpam-1597	843	17	�	�	PROPN
ejpam-1597	843	18	d	d	AUX
ejpam-1597	843	19	log	log	VERB
ejpam-1597	843	20	l(θ	l(θ	PRON
ejpam-1597	843	21	|	|	ADV
ejpam-1597	843	22	y)	y)	PROPN
ejpam-1597	843	23	�	�	PROPN
ejpam-1597	843	24	2	2	NUM
ejpam-1597	843	25	=	=	SYM
ejpam-1597	843	26	(	(	PUNCT
ejpam-1597	843	27	dθ)′r	dθ)′r	PROPN
ejpam-1597	843	28	dθ	dθ	PROPN
ejpam-1597	843	29	,	,	PUNCT
ejpam-1597	843	30	where	where	SCONJ
ejpam-1597	843	31	r	r	NOUN
ejpam-1597	843	32	is	be	AUX
ejpam-1597	843	33	the	the	DET
ejpam-1597	843	34	outer	outer	ADJ
ejpam-1597	843	35	-	-	PUNCT
ejpam-1597	843	36	product	product	NOUN
ejpam-1597	843	37	form	form	NOUN
ejpam-1597	843	38	,	,	PUNCT
ejpam-1597	843	39	r	r	NOUN
ejpam-1597	843	40	=	=	SYM
ejpam-1597	843	41	�	�	PROPN
ejpam-1597	844	1	σ−1	σ−1	NOUN
ejpam-1597	844	2	⊗	⊗	PROPN
ejpam-1597	844	3	x	x	PUNCT
ejpam-1597	844	4	′x	′x	ADV
ejpam-1597	844	5	1	1	NUM
ejpam-1597	844	6	2	2	NUM
ejpam-1597	844	7	(	(	PUNCT
ejpam-1597	844	8	σ−1/2	σ−1/2	PROPN
ejpam-1597	844	9	⊗	⊗	NUM
ejpam-1597	844	10	x	x	X
ejpam-1597	845	1	′)γ1d+′p	′)γ1d+′p	ADJ
ejpam-1597	845	2	∆	∆	ADJ
ejpam-1597	845	3	1	1	NUM
ejpam-1597	845	4	2	2	NUM
ejpam-1597	845	5	∆d+p	∆d+p	PROPN
ejpam-1597	845	6	γ	γ	NOUN
ejpam-1597	845	7	′	′	NUM
ejpam-1597	845	8	1(σ	1(σ	NUM
ejpam-1597	845	9	−1/2	−1/2	ADJ
ejpam-1597	845	10	⊗	⊗	PROPN
ejpam-1597	845	11	x	x	PUNCT
ejpam-1597	845	12	)	)	PUNCT
ejpam-1597	845	13	1	1	NUM
ejpam-1597	845	14	4	4	NUM
ejpam-1597	845	15	∆d+p	∆d+p	PROPN
ejpam-1597	845	16	γ	γ	PROPN
ejpam-1597	845	17	∗	∗	X
ejpam-1597	845	18	2d+′p	2d+′p	NUM
ejpam-1597	845	19	∆	∆	PROPN
ejpam-1597	845	20	�	�	PROPN
ejpam-1597	845	21	,	,	PUNCT
ejpam-1597	845	22	(	(	PUNCT
ejpam-1597	845	23	92	92	NUM
ejpam-1597	845	24	)	)	PUNCT
ejpam-1597	845	25	and	and	CCONJ
ejpam-1597	845	26	γ∗2	γ∗2	NOUN
ejpam-1597	845	27	=	=	SYM
ejpam-1597	845	28	γ2−n2(vec	γ2−n2(vec	ADP
ejpam-1597	845	29	ip)(vec	ip)(vec	X
ejpam-1597	845	30	ip	ip	NOUN
ejpam-1597	845	31	)	)	PUNCT
ejpam-1597	845	32	′.	′.	NOUN
ejpam-1597	845	33	in	in	ADP
ejpam-1597	845	34	the	the	DET
ejpam-1597	845	35	correctly	correctly	ADV
ejpam-1597	845	36	specified	specify	VERB
ejpam-1597	845	37	case	case	NOUN
ejpam-1597	845	38	where	where	SCONJ
ejpam-1597	845	39	γ1	γ1	PROPN
ejpam-1597	845	40	=	=	NOUN
ejpam-1597	845	41	0	0	NUM
ejpam-1597	845	42	and	and	CCONJ
ejpam-1597	845	43	γ∗2	γ∗2	NOUN
ejpam-1597	845	44	=	=	NOUN
ejpam-1597	845	45	2nnp	2nnp	NUM
ejpam-1597	845	46	,	,	PUNCT
ejpam-1597	845	47	one	one	NUM
ejpam-1597	845	48	verifies	verifie	NOUN
ejpam-1597	845	49	that	that	PRON
ejpam-1597	845	50	r	r	NOUN
ejpam-1597	845	51	=	=	NOUN
ejpam-1597	845	52	f	f	PROPN
ejpam-1597	845	53	.	.	PUNCT
ejpam-1597	846	1	appendix	appendix	VERB
ejpam-1597	846	2	2	2	NUM
ejpam-1597	846	3	:	:	PUNCT
ejpam-1597	846	4	misspecification	misspecification	NOUN
ejpam-1597	846	5	-	-	PUNCT
ejpam-1597	846	6	resistent	resistent	ADJ
ejpam-1597	846	7	sandwich	sandwich	NOUN
ejpam-1597	846	8	covariance	covariance	NOUN
ejpam-1597	846	9	matrix	matrix	NOUN
ejpam-1597	846	10	for	for	ADP
ejpam-1597	846	11	the	the	DET
ejpam-1597	846	12	mvr	mvr	PROPN
ejpam-1597	846	13	model	model	NOUN
ejpam-1597	846	14	and	and	CCONJ
ejpam-1597	846	15	icom	icom	PROPN
ejpam-1597	846	16	p	p	NOUN
ejpam-1597	846	17	in	in	ADP
ejpam-1597	846	18	the	the	DET
ejpam-1597	846	19	presence	presence	NOUN
ejpam-1597	846	20	of	of	ADP
ejpam-1597	846	21	misspecification	misspecification	NOUN
ejpam-1597	846	22	,	,	PUNCT
ejpam-1597	846	23	the	the	DET
ejpam-1597	846	24	variance	variance	NOUN
ejpam-1597	846	25	of	of	ADP
ejpam-1597	846	26	the	the	DET
ejpam-1597	846	27	quasi	quasi	ADJ
ejpam-1597	846	28	maximum	maximum	ADJ
ejpam-1597	846	29	-	-	PUNCT
ejpam-1597	846	30	likelihood	likelihood	NOUN
ejpam-1597	846	31	estimator	estimator	NOUN
ejpam-1597	846	32	bθ	bθ	PROPN
ejpam-1597	846	33	is	be	AUX
ejpam-1597	846	34	cov(θ	cov(θ	VERB
ejpam-1597	846	35	)	)	PUNCT
ejpam-1597	846	36	=	=	SYM
ejpam-1597	846	37	f−1rf−1	f−1rf−1	NOUN
ejpam-1597	846	38	=	=	SYM
ejpam-1597	846	39			PROPN
ejpam-1597	846	40			X
ejpam-1597	846	41	σ⊗	σ⊗	NOUN
ejpam-1597	846	42	(	(	PUNCT
ejpam-1597	846	43	x	x	NOUN
ejpam-1597	846	44	′x	′x	ADV
ejpam-1597	846	45	)	)	PUNCT
ejpam-1597	846	46	−1	−1	NOUN
ejpam-1597	846	47	1	1	NUM
ejpam-1597	846	48	n	n	PROPN
ejpam-1597	846	49	(	(	PUNCT
ejpam-1597	846	50	σ	σ	PROPN
ejpam-1597	846	51	1	1	NUM
ejpam-1597	846	52	2	2	NUM
ejpam-1597	846	53	⊗	⊗	NOUN
ejpam-1597	846	54	(	(	PUNCT
ejpam-1597	846	55	x	x	NOUN
ejpam-1597	846	56	′x	′x	ADV
ejpam-1597	846	57	)	)	PUNCT
ejpam-1597	847	1	−1x	−1x	PROPN
ejpam-1597	847	2	′)γ1dp∆	′)γ1dp∆	ADP
ejpam-1597	847	3	−1	−1	NOUN
ejpam-1597	847	4	1	1	NUM
ejpam-1597	847	5	n	n	NOUN
ejpam-1597	847	6	∆−1d′pγ	∆−1d′pγ	PROPN
ejpam-1597	847	7	′	′	NUM
ejpam-1597	848	1	1(σ	1(σ	NUM
ejpam-1597	848	2	1/2	1/2	NUM
ejpam-1597	848	3	⊗	⊗	NOUN
ejpam-1597	848	4	x	x	SYM
ejpam-1597	848	5	(	(	PUNCT
ejpam-1597	848	6	x	x	NOUN
ejpam-1597	848	7	′x	′x	NOUN
ejpam-1597	848	8	)	)	PUNCT
ejpam-1597	848	9	−1	−1	NOUN
ejpam-1597	848	10	)	)	PUNCT
ejpam-1597	848	11	1	1	NUM
ejpam-1597	848	12	n2∆	n2∆	NOUN
ejpam-1597	848	13	−1d′pγ	−1d′pγ	ADV
ejpam-1597	848	14	∗	∗	VERB
ejpam-1597	848	15	2dp∆	2dp∆	NUM
ejpam-1597	848	16	−1	−1	NOUN
ejpam-1597	848	17			PROPN
ejpam-1597	848	18			PROPN
ejpam-1597	848	19	.	.	PUNCT
ejpam-1597	849	1	(	(	PUNCT
ejpam-1597	849	2	93	93	NUM
ejpam-1597	849	3	)	)	PUNCT
ejpam-1597	849	4	furthermore	furthermore	ADV
ejpam-1597	849	5	,	,	PUNCT
ejpam-1597	849	6	a	a	DET
ejpam-1597	849	7	little	little	ADJ
ejpam-1597	849	8	algebra	algebra	NOUN
ejpam-1597	849	9	gives	give	VERB
ejpam-1597	849	10	tr	tr	VERB
ejpam-1597	849	11	cov(θ	cov(θ	NUM
ejpam-1597	849	12	)	)	PUNCT
ejpam-1597	849	13	=	=	SYM
ejpam-1597	850	1	trς⊗	trς⊗	INTJ
ejpam-1597	850	2	(	(	PUNCT
ejpam-1597	850	3	x	x	NOUN
ejpam-1597	850	4	′x	′x	ADV
ejpam-1597	850	5	)	)	PUNCT
ejpam-1597	850	6	−1	−1	NOUN
ejpam-1597	850	7	+	+	SYM
ejpam-1597	850	8	1	1	NUM
ejpam-1597	850	9	n2	n2	ADJ
ejpam-1597	850	10	tr∆−1d′pγ	tr∆−1d′pγ	PROPN
ejpam-1597	850	11	∗	∗	VERB
ejpam-1597	850	12	2dp∆	2dp∆	NUM
ejpam-1597	850	13	−1	−1	NOUN
ejpam-1597	850	14	=	=	PUNCT
ejpam-1597	850	15	(	(	PUNCT
ejpam-1597	850	16	trς)(tr(x	trς)(tr(x	X
ejpam-1597	850	17	′x	′x	NOUN
ejpam-1597	850	18	)	)	PUNCT
ejpam-1597	850	19	−1	−1	NOUN
ejpam-1597	850	20	)	)	PUNCT
ejpam-1597	851	1	+	+	CCONJ
ejpam-1597	851	2	1	1	NUM
ejpam-1597	851	3	n2	n2	NOUN
ejpam-1597	851	4	tr	tr	VERB
ejpam-1597	851	5	d+p	d+p	PROPN
ejpam-1597	851	6	(	(	PUNCT
ejpam-1597	851	7	σ	σ	PROPN
ejpam-1597	851	8	1/2	1/2	NUM
ejpam-1597	851	9	⊗σ1/2)γ∗2(σ	⊗σ1/2)γ∗2(σ	NOUN
ejpam-1597	851	10	1/2	1/2	NUM
ejpam-1597	851	11	⊗σ1/2)d+p	⊗σ1/2)d+p	NUM
ejpam-1597	851	12	′	′	NUM
ejpam-1597	851	13	,	,	PUNCT
ejpam-1597	851	14	(	(	PUNCT
ejpam-1597	851	15	94	94	NUM
ejpam-1597	851	16	)	)	PUNCT
ejpam-1597	851	17	and	and	CCONJ
ejpam-1597	851	18	|cov(θ)|	|cov(θ)|	NUM
ejpam-1597	851	19	=	=	PUNCT
ejpam-1597	851	20	|σ⊗	|σ⊗	X
ejpam-1597	851	21	(	(	PUNCT
ejpam-1597	851	22	x	x	NOUN
ejpam-1597	851	23	′x	′x	ADV
ejpam-1597	851	24	)	)	PUNCT
ejpam-1597	851	25	−1|	−1|	X
ejpam-1597	851	26	·	·	PUNCT
ejpam-1597	852	1	|	|	ADV
ejpam-1597	852	2	1	1	NUM
ejpam-1597	852	3	n2	n2	ADJ
ejpam-1597	852	4	∆−1d′p(γ	∆−1d′p(γ	NOUN
ejpam-1597	852	5	∗	∗	NOUN
ejpam-1597	852	6	2	2	NUM
ejpam-1597	852	7	−	−	NOUN
ejpam-1597	852	8	γ′1(ip	γ′1(ip	PUNCT
ejpam-1597	852	9	⊗	⊗	NUM
ejpam-1597	852	10	x	x	SYM
ejpam-1597	852	11	(	(	PUNCT
ejpam-1597	852	12	x	x	SYM
ejpam-1597	852	13	′x	′x	ADV
ejpam-1597	852	14	)	)	PUNCT
ejpam-1597	852	15	−1x	−1x	X
ejpam-1597	852	16	′)γ1)dp∆	′)γ1)dp∆	NOUN
ejpam-1597	852	17	−1|	−1|	NOUN
ejpam-1597	852	18	=	=	SYM
ejpam-1597	852	19	2−p(p−1)n−p(p+1)|σ|p+k+1|x	2−p(p−1)n−p(p+1)|σ|p+k+1|x	NUM
ejpam-1597	852	20	′−p	′−p	NOUN
ejpam-1597	852	21	×|d′p(γ∗2	×|d′p(γ∗2	NOUN
ejpam-1597	852	22	−	−	PROPN
ejpam-1597	852	23	γ′1(ip	γ′1(ip	PUNCT
ejpam-1597	852	24	⊗	⊗	NUM
ejpam-1597	852	25	x	x	SYM
ejpam-1597	852	26	(	(	PUNCT
ejpam-1597	852	27	x	x	SYM
ejpam-1597	852	28	′x	′x	NOUN
ejpam-1597	852	29	)	)	PUNCT
ejpam-1597	852	30	−1x	−1x	PROPN
ejpam-1597	852	31	′)γ1)dp|	′)γ1)dp|	NOUN
ejpam-1597	852	32	.	.	PUNCT
ejpam-1597	853	1	(	(	PUNCT
ejpam-1597	853	2	95	95	NUM
ejpam-1597	853	3	)	)	PUNCT
ejpam-1597	853	4	references	reference	NOUN
ejpam-1597	853	5	248	248	NUM
ejpam-1597	853	6	in	in	ADP
ejpam-1597	853	7	the	the	DET
ejpam-1597	853	8	special	special	ADJ
ejpam-1597	853	9	case	case	NOUN
ejpam-1597	853	10	of	of	ADP
ejpam-1597	853	11	correct	correct	ADJ
ejpam-1597	853	12	specification	specification	NOUN
ejpam-1597	853	13	,	,	PUNCT
ejpam-1597	853	14	one	one	NUM
ejpam-1597	853	15	verifies	verifie	NOUN
ejpam-1597	853	16	that	that	PRON
ejpam-1597	853	17	tr	tr	VERB
ejpam-1597	853	18	cov(θ	cov(θ	X
ejpam-1597	853	19	)	)	PUNCT
ejpam-1597	853	20	=	=	PUNCT
ejpam-1597	854	1	trf−1	trf−1	X
ejpam-1597	854	2	=	=	SYM
ejpam-1597	854	3	(	(	PUNCT
ejpam-1597	854	4	trς)(tr(x	trς)(tr(x	X
ejpam-1597	854	5	′x	′x	NOUN
ejpam-1597	854	6	)	)	PUNCT
ejpam-1597	854	7	−1	−1	NOUN
ejpam-1597	854	8	)	)	PUNCT
ejpam-1597	855	1	+	+	CCONJ
ejpam-1597	855	2	1	1	NUM
ejpam-1597	855	3	2n	2n	NUM
ejpam-1597	855	4	(	(	PUNCT
ejpam-1597	855	5	trς2	trς2	PROPN
ejpam-1597	855	6	+	+	CCONJ
ejpam-1597	855	7	(	(	PUNCT
ejpam-1597	855	8	trς)2	trς)2	NOUN
ejpam-1597	855	9	+	+	SYM
ejpam-1597	855	10	2	2	NUM
ejpam-1597	855	11	p∑	p∑	NOUN
ejpam-1597	855	12	j=1	j=1	PROPN
ejpam-1597	855	13	σ2	σ2	PROPN
ejpam-1597	855	14	j	j	PROPN
ejpam-1597	855	15	j	j	PROPN
ejpam-1597	855	16	)	)	PUNCT
ejpam-1597	855	17	,	,	PUNCT
ejpam-1597	855	18	and	and	CCONJ
ejpam-1597	855	19	|cov(θ)|=	|cov(θ)|=	NUM
ejpam-1597	855	20	|f−1|	|f−1|	NOUN
ejpam-1597	855	21	=	=	NOUN
ejpam-1597	855	22	2pn−	2pn−	NUM
ejpam-1597	855	23	1	1	NUM
ejpam-1597	855	24	2	2	NUM
ejpam-1597	855	25	p(p+1)|σ|p+k+1|x	p(p+1)|σ|p+k+1|x	PROPN
ejpam-1597	855	26	′x	′x	NOUN
ejpam-1597	855	27	|−p	|−p	PROPN
ejpam-1597	855	28	.	.	PUNCT
ejpam-1597	856	1	to	to	PART
ejpam-1597	856	2	derive	derive	VERB
ejpam-1597	856	3	icom	icom	PROPN
ejpam-1597	856	4	p	p	PROPN
ejpam-1597	856	5	for	for	ADP
ejpam-1597	856	6	the	the	DET
ejpam-1597	856	7	misspecified	misspecifie	VERB
ejpam-1597	856	8	multivariate	multivariate	NOUN
ejpam-1597	856	9	regression	regression	NOUN
ejpam-1597	856	10	model	model	NOUN
ejpam-1597	856	11	,	,	PUNCT
ejpam-1597	856	12	we	we	PRON
ejpam-1597	856	13	need	need	VERB
ejpam-1597	856	14	the	the	DET
ejpam-1597	856	15	determinant	determinant	ADJ
ejpam-1597	856	16	and	and	CCONJ
ejpam-1597	856	17	trace	trace	NOUN
ejpam-1597	856	18	of	of	ADP
ejpam-1597	856	19	ôcov(θ̂	ôcov(θ̂	NOUN
ejpam-1597	856	20	)	)	PUNCT
ejpam-1597	856	21	,	,	PUNCT
ejpam-1597	856	22	the	the	DET
ejpam-1597	856	23	estimator	estimator	NOUN
ejpam-1597	856	24	of	of	ADP
ejpam-1597	856	25	cov(θ	cov(θ	PROPN
ejpam-1597	856	26	)	)	PUNCT
ejpam-1597	856	27	.	.	PUNCT
ejpam-1597	857	1	the	the	DET
ejpam-1597	857	2	matrix	matrix	NOUN
ejpam-1597	857	3	cov(θ	cov(θ	NUM
ejpam-1597	857	4	)	)	PUNCT
ejpam-1597	857	5	itself	itself	PRON
ejpam-1597	857	6	is	be	AUX
ejpam-1597	857	7	given	give	VERB
ejpam-1597	857	8	in	in	ADP
ejpam-1597	857	9	(	(	PUNCT
ejpam-1597	857	10	93	93	NUM
ejpam-1597	857	11	)	)	PUNCT
ejpam-1597	857	12	,	,	PUNCT
ejpam-1597	857	13	and	and	CCONJ
ejpam-1597	857	14	its	its	PRON
ejpam-1597	857	15	trace	trace	NOUN
ejpam-1597	857	16	and	and	CCONJ
ejpam-1597	857	17	determinant	determinant	ADJ
ejpam-1597	857	18	in	in	ADP
ejpam-1597	857	19	(	(	PUNCT
ejpam-1597	857	20	94	94	NUM
ejpam-1597	857	21	)	)	PUNCT
ejpam-1597	857	22	and	and	CCONJ
ejpam-1597	857	23	(	(	PUNCT
ejpam-1597	857	24	95	95	NUM
ejpam-1597	857	25	)	)	PUNCT
ejpam-1597	857	26	.	.	PUNCT
ejpam-1597	858	1	thus	thus	ADV
ejpam-1597	858	2	,	,	PUNCT
ejpam-1597	858	3	trôcov(θ̂	trôcov(θ̂	ADV
ejpam-1597	858	4	)	)	PUNCT
ejpam-1597	859	1	=	=	SYM
ejpam-1597	859	2	(	(	PUNCT
ejpam-1597	859	3	tr	tr	NOUN
ejpam-1597	859	4	bς)(tr(x	bς)(tr(x	NOUN
ejpam-1597	859	5	′x	′x	ADV
ejpam-1597	859	6	)	)	PUNCT
ejpam-1597	859	7	−1	−1	NOUN
ejpam-1597	859	8	)	)	PUNCT
ejpam-1597	860	1	+	+	CCONJ
ejpam-1597	860	2	1	1	NUM
ejpam-1597	860	3	n2	n2	NOUN
ejpam-1597	860	4	tr	tr	VERB
ejpam-1597	860	5	d+p	d+p	PROPN
ejpam-1597	860	6	(	(	PUNCT
ejpam-1597	860	7	bς1/2	bς1/2	PROPN
ejpam-1597	860	8	⊗	⊗	PROPN
ejpam-1597	860	9	bς1/2)cγ2	bς1/2)cγ2	PROPN
ejpam-1597	860	10	∗	∗	NOUN
ejpam-1597	860	11	(	(	PUNCT
ejpam-1597	860	12	bς1/2	bς1/2	PROPN
ejpam-1597	860	13	⊗	⊗	PROPN
ejpam-1597	860	14	bς1/2)d+′p	bς1/2)d+′p	CCONJ
ejpam-1597	860	15	,	,	PUNCT
ejpam-1597	860	16	and	and	CCONJ
ejpam-1597	860	17	|ôcov(θ̂)|	|ôcov(θ̂)|	VERB
ejpam-1597	860	18	=	=	SYM
ejpam-1597	860	19	2−p(p−1)n−p(p+1)|bς|p+k+1|x	2−p(p−1)n−p(p+1)|bς|p+k+1|x	NUM
ejpam-1597	860	20	′x	′x	NOUN
ejpam-1597	860	21	|−p	|−p	ADJ
ejpam-1597	860	22	×|d′p(bγ∗2	×|d′p(bγ∗2	NOUN
ejpam-1597	860	23	−cγ1	−cγ1	NOUN
ejpam-1597	860	24	′	′	NUM
ejpam-1597	860	25	(	(	PUNCT
ejpam-1597	860	26	ip	ip	NOUN
ejpam-1597	860	27	⊗	⊗	NOUN
ejpam-1597	860	28	x	x	SYM
ejpam-1597	860	29	(	(	PUNCT
ejpam-1597	860	30	x	x	SYM
ejpam-1597	860	31	′x	′x	ADJ
ejpam-1597	860	32	)	)	PUNCT
ejpam-1597	860	33	−1x	−1x	NOUN
ejpam-1597	860	34	′)cγ1)dp|	′)cγ1)dp|	NOUN
ejpam-1597	860	35	.	.	PUNCT
ejpam-1597	861	1	as	as	ADP
ejpam-1597	861	2	a	a	DET
ejpam-1597	861	3	result	result	NOUN
ejpam-1597	861	4	we	we	PRON
ejpam-1597	861	5	obtain	obtain	VERB
ejpam-1597	861	6	icom	icom	PROPN
ejpam-1597	861	7	p(ôcov(θ̂))m	p(ôcov(θ̂))m	X
ejpam-1597	861	8	isp	isp	ADV
ejpam-1597	861	9	=	=	SYM
ejpam-1597	861	10	np	np	INTJ
ejpam-1597	861	11	log	log	VERB
ejpam-1597	861	12	2π+	2π+	NUM
ejpam-1597	861	13	n	n	CCONJ
ejpam-1597	861	14	log	log	VERB
ejpam-1597	861	15	|σ̂|+	|σ̂|+	PROPN
ejpam-1597	861	16	np+	np+	NOUN
ejpam-1597	861	17	2c1(ôcov(θ̂	2c1(ôcov(θ̂	NUM
ejpam-1597	861	18	)	)	PUNCT
ejpam-1597	861	19	)	)	PUNCT
ejpam-1597	861	20	,	,	PUNCT
ejpam-1597	861	21	(	(	PUNCT
ejpam-1597	861	22	96	96	NUM
ejpam-1597	861	23	)	)	PUNCT
ejpam-1597	861	24	where	where	SCONJ
ejpam-1597	861	25	c1	c1	PROPN
ejpam-1597	861	26	,	,	PUNCT
ejpam-1597	861	27	repeated	repeat	VERB
ejpam-1597	861	28	from	from	ADP
ejpam-1597	861	29	(	(	PUNCT
ejpam-1597	861	30	16	16	NUM
ejpam-1597	861	31	)	)	PUNCT
ejpam-1597	861	32	,	,	PUNCT
ejpam-1597	861	33	is	be	AUX
ejpam-1597	861	34	c1(ôcov(θ̂	c1(ôcov(θ̂	ADJ
ejpam-1597	861	35	)	)	PUNCT
ejpam-1597	861	36	)	)	PUNCT
ejpam-1597	862	1	=	=	SYM
ejpam-1597	862	2	s	s	PART
ejpam-1597	862	3	2	2	NUM
ejpam-1597	862	4	log	log	NOUN
ejpam-1597	862	5	tr(ôcov(θ̂	tr(ôcov(θ̂	NOUN
ejpam-1597	862	6	)	)	PUNCT
ejpam-1597	862	7	)	)	PUNCT
ejpam-1597	862	8	s	s	VERB
ejpam-1597	862	9	−	−	PROPN
ejpam-1597	862	10	1	1	NUM
ejpam-1597	862	11	2	2	NUM
ejpam-1597	862	12	log	log	NOUN
ejpam-1597	862	13	|ôcov(θ̂)|	|ôcov(θ̂)|	NOUN
ejpam-1597	862	14	.	.	PUNCT
ejpam-1597	863	1	(	(	PUNCT
ejpam-1597	863	2	97	97	NUM
ejpam-1597	863	3	)	)	PUNCT
ejpam-1597	863	4	in	in	ADP
ejpam-1597	863	5	the	the	DET
ejpam-1597	863	6	special	special	ADJ
ejpam-1597	863	7	case	case	NOUN
ejpam-1597	863	8	of	of	ADP
ejpam-1597	863	9	correct	correct	ADJ
ejpam-1597	863	10	specification	specification	NOUN
ejpam-1597	863	11	these	these	DET
ejpam-1597	863	12	results	result	NOUN
ejpam-1597	863	13	simplify	simplify	VERB
ejpam-1597	863	14	to	to	ADP
ejpam-1597	863	15	trôcov(θ̂	trôcov(θ̂	NUM
ejpam-1597	863	16	)	)	PUNCT
ejpam-1597	864	1	=	=	PUNCT
ejpam-1597	864	2	tr	tr	VERB
ejpam-1597	864	3	f̂−1	f̂−1	PROPN
ejpam-1597	864	4	and	and	CCONJ
ejpam-1597	864	5	|ôcov(θ̂)|	|ôcov(θ̂)|	NOUN
ejpam-1597	864	6	=	=	SYM
ejpam-1597	864	7	|f̂−1|	|f̂−1|	NOUN
ejpam-1597	864	8	,	,	PUNCT
ejpam-1597	864	9	and	and	CCONJ
ejpam-1597	864	10	icom	icom	X
ejpam-1597	864	11	p(ôcov(θ̂))m	p(ôcov(θ̂))m	X
ejpam-1597	864	12	isp	isp	NOUN
ejpam-1597	864	13	reduces	reduce	VERB
ejpam-1597	864	14	to	to	ADP
ejpam-1597	864	15	icom	icom	PROPN
ejpam-1597	864	16	p(f̂−1	p(f̂−1	PROPN
ejpam-1597	864	17	)	)	PUNCT
ejpam-1597	864	18	.	.	PUNCT
ejpam-1597	865	1	appendix	appendix	VERB
ejpam-1597	865	2	3	3	NUM
ejpam-1597	865	3	:	:	PUNCT
ejpam-1597	865	4	derivation	derivation	NOUN
ejpam-1597	865	5	of	of	ADP
ejpam-1597	865	6	the	the	DET
ejpam-1597	865	7	penalty	penalty	NOUN
ejpam-1597	865	8	bias	bias	NOUN
ejpam-1597	865	9	when	when	SCONJ
ejpam-1597	865	10	the	the	DET
ejpam-1597	865	11	model	model	NOUN
ejpam-1597	865	12	is	be	AUX
ejpam-1597	865	13	correctly	correctly	ADV
ejpam-1597	865	14	specified	specify	VERB
ejpam-1597	865	15	,	,	PUNCT
ejpam-1597	865	16	the	the	DET
ejpam-1597	865	17	skewness	skewness	NOUN
ejpam-1597	865	18	and	and	CCONJ
ejpam-1597	865	19	kurtosis	kurtosis	NOUN
ejpam-1597	865	20	are	be	AUX
ejpam-1597	865	21	given	give	VERB
ejpam-1597	865	22	by	by	ADP
ejpam-1597	865	23	(	(	PUNCT
ejpam-1597	865	24	91	91	NUM
ejpam-1597	865	25	)	)	PUNCT
ejpam-1597	865	26	,	,	PUNCT
ejpam-1597	865	27	so	so	SCONJ
ejpam-1597	865	28	that	that	SCONJ
ejpam-1597	865	29	r	r	NOUN
ejpam-1597	865	30	=	=	NOUN
ejpam-1597	865	31	f	f	PROPN
ejpam-1597	865	32	.	.	PUNCT
ejpam-1597	866	1	in	in	ADP
ejpam-1597	866	2	general	general	ADJ
ejpam-1597	866	3	(	(	PUNCT
ejpam-1597	866	4	under	under	ADP
ejpam-1597	866	5	misspecification	misspecification	NOUN
ejpam-1597	866	6	)	)	PUNCT
ejpam-1597	866	7	,	,	PUNCT
ejpam-1597	866	8	we	we	PRON
ejpam-1597	866	9	obtain	obtain	VERB
ejpam-1597	866	10	tr(f−1r	tr(f−1r	NOUN
ejpam-1597	866	11	)	)	PUNCT
ejpam-1597	866	12	=	=	PUNCT
ejpam-1597	867	1	tr(σ⊗	tr(σ⊗	PROPN
ejpam-1597	867	2	(	(	PUNCT
ejpam-1597	867	3	x	x	SYM
ejpam-1597	867	4	′x	′x	ADV
ejpam-1597	867	5	)	)	PUNCT
ejpam-1597	867	6	−1)(σ−1	−1)(σ−1	NOUN
ejpam-1597	868	1	⊗	⊗	ADJ
ejpam-1597	868	2	x	x	SYM
ejpam-1597	868	3	′x	′x	ADV
ejpam-1597	868	4	)	)	PUNCT
ejpam-1597	868	5	+	+	CCONJ
ejpam-1597	868	6	1	1	NUM
ejpam-1597	868	7	2n	2n	NUM
ejpam-1597	868	8	tr(d+p	tr(d+p	X
ejpam-1597	868	9	(	(	PUNCT
ejpam-1597	868	10	σ⊗σ)d+′p	σ⊗σ)d+′p	NOUN
ejpam-1597	868	11	∆d+p	∆d+p	PROPN
ejpam-1597	868	12	γ	γ	PROPN
ejpam-1597	868	13	∗	∗	X
ejpam-1597	868	14	2d+′p	2d+′p	NUM
ejpam-1597	868	15	∆	∆	X
ejpam-1597	868	16	)	)	PUNCT
ejpam-1597	869	1	=	=	SYM
ejpam-1597	869	2	pk+	pk+	NOUN
ejpam-1597	869	3	1	1	NUM
ejpam-1597	869	4	2n	2n	NUM
ejpam-1597	869	5	tr	tr	NOUN
ejpam-1597	869	6	npγ	npγ	NOUN
ejpam-1597	869	7	∗	∗	NOUN
ejpam-1597	869	8	2	2	NUM
ejpam-1597	869	9	=	=	SYM
ejpam-1597	869	10	pk+	pk+	NOUN
ejpam-1597	869	11	1	1	NUM
ejpam-1597	869	12	2n	2n	NUM
ejpam-1597	869	13	trγ∗2	trγ∗2	PROPN
ejpam-1597	869	14	.	.	PUNCT
ejpam-1597	869	15	(	(	PUNCT
ejpam-1597	869	16	98	98	NUM
ejpam-1597	869	17	)	)	PUNCT
ejpam-1597	869	18	as	as	SCONJ
ejpam-1597	869	19	derived	derive	VERB
ejpam-1597	869	20	in	in	ADP
ejpam-1597	869	21	(	(	PUNCT
ejpam-1597	869	22	57	57	NUM
ejpam-1597	869	23	)	)	PUNCT
ejpam-1597	869	24	,	,	PUNCT
ejpam-1597	869	25	the	the	DET
ejpam-1597	869	26	bias	bias	NOUN
ejpam-1597	869	27	is	be	AUX
ejpam-1597	869	28	then	then	ADV
ejpam-1597	869	29	given	give	VERB
ejpam-1597	869	30	by	by	ADP
ejpam-1597	869	31	b	b	NOUN
ejpam-1597	869	32	=	=	SYM
ejpam-1597	869	33	1	1	NUM
ejpam-1597	869	34	n	n	PRON
ejpam-1597	869	35	tr(f−1r	tr(f−1r	NOUN
ejpam-1597	869	36	)	)	PUNCT
ejpam-1597	870	1	+	+	NOUN
ejpam-1597	870	2	o(n−2	o(n−2	X
ejpam-1597	870	3	)	)	PUNCT
ejpam-1597	870	4	=	=	SYM
ejpam-1597	870	5	1	1	NUM
ejpam-1597	870	6	n	n	PRON
ejpam-1597	870	7	�	�	NOUN
ejpam-1597	870	8	pk+	pk+	NOUN
ejpam-1597	870	9	1	1	NUM
ejpam-1597	870	10	2n	2n	NUM
ejpam-1597	870	11	tr(γ∗2	tr(γ∗2	NOUN
ejpam-1597	870	12	)	)	PUNCT
ejpam-1597	870	13	�	�	PROPN
ejpam-1597	870	14	+	+	NOUN
ejpam-1597	870	15	o(n−2	o(n−2	PROPN
ejpam-1597	870	16	)	)	PUNCT
ejpam-1597	870	17	,	,	PUNCT
ejpam-1597	870	18	references	reference	NOUN
ejpam-1597	870	19	249	249	NUM
ejpam-1597	870	20	and	and	CCONJ
ejpam-1597	870	21	hence	hence	ADV
ejpam-1597	870	22	the	the	DET
ejpam-1597	870	23	estimated	estimate	VERB
ejpam-1597	870	24	bias	bias	NOUN
ejpam-1597	870	25	b̂	b̂	NOUN
ejpam-1597	870	26	is	be	AUX
ejpam-1597	870	27	b̂	b̂	NOUN
ejpam-1597	870	28	=	=	SYM
ejpam-1597	870	29	1	1	NUM
ejpam-1597	870	30	n	n	PRON
ejpam-1597	870	31	tr(f̂−1r̂	tr(f̂−1r̂	NUM
ejpam-1597	870	32	)	)	PUNCT
ejpam-1597	870	33	=	=	SYM
ejpam-1597	870	34	1	1	NUM
ejpam-1597	870	35	n	n	PRON
ejpam-1597	870	36	�	�	NOUN
ejpam-1597	870	37	pk+	pk+	NOUN
ejpam-1597	870	38	1	1	NUM
ejpam-1597	870	39	2n	2n	NUM
ejpam-1597	870	40	tr(γ̂2	tr(γ̂2	PROPN
ejpam-1597	870	41	∗	∗	NOUN
ejpam-1597	870	42	)	)	PUNCT
ejpam-1597	870	43	�	�	PROPN
ejpam-1597	870	44	,	,	PUNCT
ejpam-1597	870	45	(	(	PUNCT
ejpam-1597	870	46	99	99	NUM
ejpam-1597	870	47	)	)	PUNCT
ejpam-1597	870	48	which	which	PRON
ejpam-1597	870	49	we	we	PRON
ejpam-1597	870	50	compare	compare	VERB
ejpam-1597	870	51	with	with	ADP
ejpam-1597	870	52	b	b	PROPN
ejpam-1597	870	53	=	=	SYM
ejpam-1597	870	54	k	k	NOUN
ejpam-1597	870	55	/	/	SYM
ejpam-1597	870	56	n	n	CCONJ
ejpam-1597	870	57	,	,	PUNCT
ejpam-1597	870	58	typically	typically	ADV
ejpam-1597	870	59	used	use	VERB
ejpam-1597	870	60	in	in	ADP
ejpam-1597	870	61	subset	subset	ADJ
ejpam-1597	870	62	selection	selection	NOUN
ejpam-1597	870	63	of	of	ADP
ejpam-1597	870	64	variables	variable	NOUN
ejpam-1597	870	65	and	and	CCONJ
ejpam-1597	870	66	deletion	deletion	NOUN
ejpam-1597	870	67	diagnostics	diagnostic	NOUN
ejpam-1597	870	68	in	in	ADP
ejpam-1597	870	69	multivariate	multivariate	NOUN
ejpam-1597	870	70	regression	regression	NOUN
ejpam-1597	870	71	models	model	NOUN
ejpam-1597	870	72	.	.	PUNCT
ejpam-1597	871	1	in	in	ADP
ejpam-1597	871	2	the	the	DET
ejpam-1597	871	3	special	special	ADJ
ejpam-1597	871	4	case	case	NOUN
ejpam-1597	871	5	when	when	SCONJ
ejpam-1597	871	6	there	there	PRON
ejpam-1597	871	7	is	be	VERB
ejpam-1597	871	8	no	no	DET
ejpam-1597	871	9	misspecification	misspecification	NOUN
ejpam-1597	871	10	,	,	PUNCT
ejpam-1597	871	11	we	we	PRON
ejpam-1597	871	12	have	have	VERB
ejpam-1597	871	13	γ∗2	γ∗2	NOUN
ejpam-1597	871	14	=	=	SYM
ejpam-1597	871	15	2nnp	2nnp	NUM
ejpam-1597	871	16	and	and	CCONJ
ejpam-1597	871	17	tr(γ∗2	tr(γ∗2	NOUN
ejpam-1597	871	18	)	)	PUNCT
ejpam-1597	872	1	=	=	SYM
ejpam-1597	872	2	np(p+	np(p+	PROPN
ejpam-1597	872	3	1	1	NUM
ejpam-1597	872	4	)	)	PUNCT
ejpam-1597	872	5	.	.	PUNCT
ejpam-1597	873	1	in	in	ADP
ejpam-1597	873	2	that	that	DET
ejpam-1597	873	3	case	case	NOUN
ejpam-1597	873	4	,	,	PUNCT
ejpam-1597	873	5	tr(f−1r	tr(f−1r	NOUN
ejpam-1597	873	6	)	)	PUNCT
ejpam-1597	873	7	=	=	SYM
ejpam-1597	873	8	pk+	pk+	NOUN
ejpam-1597	873	9	p(p+	p(p+	PROPN
ejpam-1597	873	10	1)/2	1)/2	PROPN
ejpam-1597	873	11	,	,	PUNCT
ejpam-1597	873	12	which	which	PRON
ejpam-1597	873	13	is	be	AUX
ejpam-1597	873	14	the	the	DET
ejpam-1597	873	15	number	number	NOUN
ejpam-1597	873	16	of	of	ADP
ejpam-1597	873	17	estimated	estimate	VERB
ejpam-1597	873	18	parameters	parameter	NOUN
ejpam-1597	873	19	in	in	ADP
ejpam-1597	873	20	the	the	DET
ejpam-1597	873	21	multivariate	multivariate	NOUN
ejpam-1597	873	22	regression	regression	NOUN
ejpam-1597	873	23	model	model	NOUN
ejpam-1597	873	24	and	and	CCONJ
ejpam-1597	873	25	also	also	ADV
ejpam-1597	873	26	the	the	DET
ejpam-1597	873	27	penalty	penalty	NOUN
ejpam-1597	873	28	term	term	NOUN
ejpam-1597	873	29	in	in	ADP
ejpam-1597	873	30	aic	aic	PROPN
ejpam-1597	873	31	.	.	PUNCT
ejpam-1597	874	1	this	this	PRON
ejpam-1597	874	2	shows	show	VERB
ejpam-1597	874	3	why	why	SCONJ
ejpam-1597	874	4	aic	aic	PROPN
ejpam-1597	874	5	-	-	PUNCT
ejpam-1597	874	6	type	type	NOUN
ejpam-1597	874	7	criteria	criterion	NOUN
ejpam-1597	874	8	and	and	CCONJ
ejpam-1597	874	9	cross	cross	ADJ
ejpam-1597	874	10	-	-	ADJ
ejpam-1597	874	11	validation	validation	ADJ
ejpam-1597	874	12	techniques	technique	NOUN
ejpam-1597	874	13	do	do	AUX
ejpam-1597	874	14	not	not	PART
ejpam-1597	874	15	guard	guard	VERB
ejpam-1597	874	16	the	the	DET
ejpam-1597	874	17	researcher	researcher	NOUN
ejpam-1597	874	18	against	against	ADP
ejpam-1597	874	19	misspecification	misspecification	NOUN
ejpam-1597	874	20	of	of	ADP
ejpam-1597	874	21	the	the	DET
ejpam-1597	874	22	model	model	NOUN
ejpam-1597	874	23	the	the	DET
ejpam-1597	874	24	bias	bias	NOUN
ejpam-1597	874	25	is	be	AUX
ejpam-1597	874	26	computed	compute	VERB
ejpam-1597	874	27	under	under	ADP
ejpam-1597	874	28	the	the	DET
ejpam-1597	874	29	assumption	assumption	NOUN
ejpam-1597	874	30	that	that	SCONJ
ejpam-1597	874	31	the	the	DET
ejpam-1597	874	32	model	model	NOUN
ejpam-1597	874	33	is	be	AUX
ejpam-1597	874	34	correctly	correctly	ADV
ejpam-1597	874	35	specified	specify	VERB
ejpam-1597	874	36	.	.	PUNCT