id	sid	tid	token	lemma	pos
ejpam-1847	1	1	european	european	PROPN
ejpam-1847	1	2	journal	journal	PROPN
ejpam-1847	1	3	of	of	ADP
ejpam-1847	1	4	pure	pure	ADJ
ejpam-1847	1	5	and	and	CCONJ
ejpam-1847	1	6	applied	apply	VERB
ejpam-1847	1	7	mathematics	mathematic	NOUN
ejpam-1847	1	8	vol	vol	NOUN
ejpam-1847	1	9	.	.	PUNCT
ejpam-1847	2	1	7	7	NUM
ejpam-1847	2	2	,	,	PUNCT
ejpam-1847	2	3	no	no	INTJ
ejpam-1847	2	4	.	.	NOUN
ejpam-1847	2	5	1	1	NUM
ejpam-1847	2	6	,	,	PUNCT
ejpam-1847	2	7	2014	2014	NUM
ejpam-1847	2	8	,	,	PUNCT
ejpam-1847	2	9	1	1	NUM
ejpam-1847	2	10	-	-	SYM
ejpam-1847	2	11	21	21	NUM
ejpam-1847	2	12	issn	issn	PROPN
ejpam-1847	2	13	1307	1307	NUM
ejpam-1847	2	14	-	-	SYM
ejpam-1847	2	15	5543	5543	NUM
ejpam-1847	2	16	–	–	PUNCT
ejpam-1847	2	17	www.ejpam.com	www.ejpam.com	X
ejpam-1847	2	18	on	on	ADP
ejpam-1847	2	19	multivariate	multivariate	NOUN
ejpam-1847	2	20	time	time	NOUN
ejpam-1847	2	21	series	series	PROPN
ejpam-1847	2	22	model	model	PROPN
ejpam-1847	2	23	selection	selection	NOUN
ejpam-1847	2	24	involving	involve	VERB
ejpam-1847	2	25	many	many	ADJ
ejpam-1847	2	26	candidate	candidate	NOUN
ejpam-1847	2	27	var	var	NOUN
ejpam-1847	2	28	models	model	NOUN
ejpam-1847	2	29	xindong	xindong	PROPN
ejpam-1847	2	30	zhao1	zhao1	PROPN
ejpam-1847	2	31	,	,	PUNCT
ejpam-1847	2	32	guoqi	guoqi	PROPN
ejpam-1847	2	33	qian2,∗	qian2,∗	PROPN
ejpam-1847	2	34	1	1	NUM
ejpam-1847	2	35	institute	institute	PROPN
ejpam-1847	2	36	of	of	ADP
ejpam-1847	2	37	econometrics	econometrics	PROPN
ejpam-1847	2	38	,	,	PUNCT
ejpam-1847	2	39	huaqiao	huaqiao	PROPN
ejpam-1847	2	40	university	university	NOUN
ejpam-1847	2	41	,	,	PUNCT
ejpam-1847	2	42	xiamen	xiamen	PROPN
ejpam-1847	2	43	,	,	PUNCT
ejpam-1847	2	44	china	china	PROPN
ejpam-1847	2	45	2	2	NUM
ejpam-1847	2	46	department	department	NOUN
ejpam-1847	2	47	of	of	ADP
ejpam-1847	2	48	mathematics	mathematic	NOUN
ejpam-1847	2	49	and	and	CCONJ
ejpam-1847	2	50	statistics	statistic	NOUN
ejpam-1847	2	51	,	,	PUNCT
ejpam-1847	2	52	university	university	NOUN
ejpam-1847	2	53	of	of	ADP
ejpam-1847	2	54	melbourne	melbourne	PROPN
ejpam-1847	2	55	,	,	PUNCT
ejpam-1847	2	56	melbourne	melbourne	PROPN
ejpam-1847	2	57	,	,	PUNCT
ejpam-1847	2	58	australia	australia	PROPN
ejpam-1847	2	59	abstract	abstract	NOUN
ejpam-1847	2	60	.	.	PUNCT
ejpam-1847	3	1	vector	vector	NOUN
ejpam-1847	3	2	autoregressive	autoregressive	ADJ
ejpam-1847	3	3	(	(	PUNCT
ejpam-1847	3	4	var	var	NOUN
ejpam-1847	3	5	)	)	PUNCT
ejpam-1847	3	6	models	model	NOUN
ejpam-1847	3	7	are	be	AUX
ejpam-1847	3	8	important	important	ADJ
ejpam-1847	3	9	and	and	CCONJ
ejpam-1847	3	10	useful	useful	ADJ
ejpam-1847	3	11	for	for	ADP
ejpam-1847	3	12	modelling	model	VERB
ejpam-1847	3	13	multivariate	multivariate	NOUN
ejpam-1847	3	14	time	time	NOUN
ejpam-1847	3	15	series	series	PROPN
ejpam-1847	3	16	.	.	PUNCT
ejpam-1847	4	1	an	an	DET
ejpam-1847	4	2	appropriate	appropriate	ADJ
ejpam-1847	4	3	var	var	NOUN
ejpam-1847	4	4	model	model	NOUN
ejpam-1847	4	5	is	be	AUX
ejpam-1847	4	6	often	often	ADV
ejpam-1847	4	7	required	require	VERB
ejpam-1847	4	8	for	for	ADP
ejpam-1847	4	9	such	such	ADJ
ejpam-1847	4	10	modelling	modelling	NOUN
ejpam-1847	4	11	for	for	ADP
ejpam-1847	4	12	given	give	VERB
ejpam-1847	4	13	data	datum	NOUN
ejpam-1847	4	14	,	,	PUNCT
ejpam-1847	4	15	for	for	ADP
ejpam-1847	4	16	which	which	PRON
ejpam-1847	4	17	several	several	ADJ
ejpam-1847	4	18	model	model	NOUN
ejpam-1847	4	19	selection	selection	NOUN
ejpam-1847	4	20	criteria	criterion	NOUN
ejpam-1847	4	21	such	such	ADJ
ejpam-1847	4	22	as	as	ADP
ejpam-1847	4	23	aic	aic	PROPN
ejpam-1847	4	24	,	,	PUNCT
ejpam-1847	4	25	aicc	aicc	PROPN
ejpam-1847	4	26	,	,	PUNCT
ejpam-1847	4	27	bic	bic	PROPN
ejpam-1847	4	28	and	and	CCONJ
ejpam-1847	4	29	hq	hq	NOUN
ejpam-1847	4	30	are	be	AUX
ejpam-1847	4	31	available	available	ADJ
ejpam-1847	4	32	.	.	PUNCT
ejpam-1847	5	1	however	however	ADV
ejpam-1847	5	2	,	,	PUNCT
ejpam-1847	5	3	when	when	SCONJ
ejpam-1847	5	4	the	the	DET
ejpam-1847	5	5	number	number	NOUN
ejpam-1847	5	6	of	of	ADP
ejpam-1847	5	7	candidate	candidate	NOUN
ejpam-1847	5	8	models	model	NOUN
ejpam-1847	5	9	available	available	ADJ
ejpam-1847	5	10	for	for	ADP
ejpam-1847	5	11	selection	selection	NOUN
ejpam-1847	5	12	is	be	AUX
ejpam-1847	5	13	extremely	extremely	ADV
ejpam-1847	5	14	large	large	ADJ
ejpam-1847	5	15	,	,	PUNCT
ejpam-1847	5	16	which	which	PRON
ejpam-1847	5	17	is	be	AUX
ejpam-1847	5	18	not	not	PART
ejpam-1847	5	19	uncommon	uncommon	ADJ
ejpam-1847	5	20	in	in	ADP
ejpam-1847	5	21	practice	practice	NOUN
ejpam-1847	5	22	,	,	PUNCT
ejpam-1847	5	23	performing	perform	VERB
ejpam-1847	5	24	an	an	DET
ejpam-1847	5	25	exhaustive	exhaustive	ADJ
ejpam-1847	5	26	var	var	NOUN
ejpam-1847	5	27	model	model	NOUN
ejpam-1847	5	28	selection	selection	NOUN
ejpam-1847	5	29	using	use	VERB
ejpam-1847	5	30	any	any	PRON
ejpam-1847	5	31	of	of	ADP
ejpam-1847	5	32	the	the	DET
ejpam-1847	5	33	above	above	ADJ
ejpam-1847	5	34	criteria	criterion	NOUN
ejpam-1847	5	35	would	would	AUX
ejpam-1847	5	36	become	become	VERB
ejpam-1847	5	37	computationally	computationally	ADV
ejpam-1847	5	38	infeasible	infeasible	ADJ
ejpam-1847	5	39	.	.	PUNCT
ejpam-1847	6	1	to	to	PART
ejpam-1847	6	2	overcome	overcome	VERB
ejpam-1847	6	3	this	this	DET
ejpam-1847	6	4	difficulty	difficulty	NOUN
ejpam-1847	6	5	,	,	PUNCT
ejpam-1847	6	6	we	we	PRON
ejpam-1847	6	7	have	have	AUX
ejpam-1847	6	8	developed	develop	VERB
ejpam-1847	6	9	a	a	DET
ejpam-1847	6	10	markov	markov	NOUN
ejpam-1847	6	11	chain	chain	NOUN
ejpam-1847	6	12	monte	monte	PROPN
ejpam-1847	6	13	carlo	carlo	PROPN
ejpam-1847	6	14	method	method	NOUN
ejpam-1847	6	15	based	base	VERB
ejpam-1847	6	16	on	on	ADP
ejpam-1847	6	17	gibbs	gibbs	PROPN
ejpam-1847	6	18	sampler	sampler	NOUN
ejpam-1847	6	19	.	.	PUNCT
ejpam-1847	7	1	it	it	PRON
ejpam-1847	7	2	is	be	AUX
ejpam-1847	7	3	shown	show	VERB
ejpam-1847	7	4	that	that	SCONJ
ejpam-1847	7	5	the	the	DET
ejpam-1847	7	6	developed	develop	VERB
ejpam-1847	7	7	method	method	NOUN
ejpam-1847	7	8	identifies	identify	VERB
ejpam-1847	7	9	the	the	DET
ejpam-1847	7	10	optimal	optimal	ADJ
ejpam-1847	7	11	var	var	NOUN
ejpam-1847	7	12	model	model	NOUN
ejpam-1847	7	13	with	with	ADP
ejpam-1847	7	14	high	high	ADJ
ejpam-1847	7	15	probability	probability	NOUN
ejpam-1847	7	16	and	and	CCONJ
ejpam-1847	7	17	efficiency	efficiency	NOUN
ejpam-1847	7	18	.	.	PUNCT
ejpam-1847	8	1	to	to	PART
ejpam-1847	8	2	illustrate	illustrate	VERB
ejpam-1847	8	3	and	and	CCONJ
ejpam-1847	8	4	verify	verify	VERB
ejpam-1847	8	5	the	the	DET
ejpam-1847	8	6	method	method	NOUN
ejpam-1847	8	7	,	,	PUNCT
ejpam-1847	8	8	we	we	PRON
ejpam-1847	8	9	also	also	ADV
ejpam-1847	8	10	present	present	VERB
ejpam-1847	8	11	a	a	DET
ejpam-1847	8	12	simulation	simulation	NOUN
ejpam-1847	8	13	study	study	NOUN
ejpam-1847	8	14	and	and	CCONJ
ejpam-1847	8	15	an	an	DET
ejpam-1847	8	16	example	example	NOUN
ejpam-1847	8	17	on	on	ADP
ejpam-1847	8	18	modelling	model	VERB
ejpam-1847	8	19	the	the	DET
ejpam-1847	8	20	data	datum	NOUN
ejpam-1847	8	21	of	of	ADP
ejpam-1847	8	22	china	china	PROPN
ejpam-1847	8	23	’s	’s	PART
ejpam-1847	8	24	money	money	NOUN
ejpam-1847	8	25	supply	supply	NOUN
ejpam-1847	8	26	and	and	CCONJ
ejpam-1847	8	27	consumer	consumer	NOUN
ejpam-1847	8	28	price	price	NOUN
ejpam-1847	8	29	index	index	NOUN
ejpam-1847	8	30	(	(	PUNCT
ejpam-1847	8	31	cpi	cpi	PROPN
ejpam-1847	8	32	)	)	PUNCT
ejpam-1847	8	33	.	.	PUNCT
ejpam-1847	9	1	2010	2010	NUM
ejpam-1847	9	2	mathematics	mathematic	NOUN
ejpam-1847	9	3	subject	subject	NOUN
ejpam-1847	9	4	classifications	classification	NOUN
ejpam-1847	9	5	:	:	PUNCT
ejpam-1847	9	6	62m10	62m10	NUM
ejpam-1847	9	7	,	,	PUNCT
ejpam-1847	9	8	65c40	65c40	NUM
ejpam-1847	9	9	,	,	PUNCT
ejpam-1847	9	10	65c60	65c60	NUM
ejpam-1847	9	11	key	key	ADJ
ejpam-1847	9	12	words	word	NOUN
ejpam-1847	9	13	and	and	CCONJ
ejpam-1847	9	14	phrases	phrase	NOUN
ejpam-1847	9	15	:	:	PUNCT
ejpam-1847	9	16	vector	vector	NOUN
ejpam-1847	9	17	autoregressive	autoregressive	ADJ
ejpam-1847	9	18	(	(	PUNCT
ejpam-1847	9	19	var	var	NOUN
ejpam-1847	9	20	)	)	PUNCT
ejpam-1847	9	21	models	model	NOUN
ejpam-1847	9	22	,	,	PUNCT
ejpam-1847	9	23	gibbs	gibbs	PROPN
ejpam-1847	9	24	sampler	sampler	NOUN
ejpam-1847	9	25	,	,	PUNCT
ejpam-1847	9	26	multivariate	multivariate	NOUN
ejpam-1847	9	27	time	time	NOUN
ejpam-1847	9	28	series	series	PROPN
ejpam-1847	9	29	model	model	PROPN
ejpam-1847	9	30	selection	selection	PROPN
ejpam-1847	9	31	1	1	NUM
ejpam-1847	9	32	.	.	PUNCT
ejpam-1847	10	1	introduction	introduction	NOUN
ejpam-1847	10	2	var	var	NOUN
ejpam-1847	10	3	modelling	modelling	NOUN
ejpam-1847	10	4	is	be	AUX
ejpam-1847	10	5	a	a	DET
ejpam-1847	10	6	major	major	ADJ
ejpam-1847	10	7	area	area	NOUN
ejpam-1847	10	8	of	of	ADP
ejpam-1847	10	9	interest	interest	NOUN
ejpam-1847	10	10	in	in	ADP
ejpam-1847	10	11	multivariate	multivariate	NOUN
ejpam-1847	10	12	time	time	NOUN
ejpam-1847	10	13	series	series	PROPN
ejpam-1847	10	14	analysis	analysis	NOUN
ejpam-1847	10	15	.	.	PUNCT
ejpam-1847	11	1	once	once	SCONJ
ejpam-1847	11	2	the	the	DET
ejpam-1847	11	3	approach	approach	NOUN
ejpam-1847	11	4	of	of	ADP
ejpam-1847	11	5	var	var	NOUN
ejpam-1847	11	6	modelling	modelling	NOUN
ejpam-1847	11	7	is	be	AUX
ejpam-1847	11	8	adopted	adopt	VERB
ejpam-1847	11	9	for	for	ADP
ejpam-1847	11	10	a	a	DET
ejpam-1847	11	11	data	data	NOUN
ejpam-1847	11	12	set	set	VERB
ejpam-1847	11	13	given	give	VERB
ejpam-1847	11	14	,	,	PUNCT
ejpam-1847	11	15	choosing	choose	VERB
ejpam-1847	11	16	an	an	DET
ejpam-1847	11	17	appropriate	appropriate	ADJ
ejpam-1847	11	18	var	var	NOUN
ejpam-1847	11	19	model	model	NOUN
ejpam-1847	11	20	for	for	ADP
ejpam-1847	11	21	best	good	ADJ
ejpam-1847	11	22	modelling	modelling	NOUN
ejpam-1847	11	23	would	would	AUX
ejpam-1847	11	24	become	become	VERB
ejpam-1847	11	25	the	the	DET
ejpam-1847	11	26	next	next	ADJ
ejpam-1847	11	27	important	important	ADJ
ejpam-1847	11	28	task	task	NOUN
ejpam-1847	11	29	.	.	PUNCT
ejpam-1847	12	1	information	information	NOUN
ejpam-1847	12	2	-	-	PUNCT
ejpam-1847	12	3	theoretic	theoretic	NOUN
ejpam-1847	12	4	criteria	criterion	NOUN
ejpam-1847	12	5	such	such	ADJ
ejpam-1847	12	6	as	as	ADP
ejpam-1847	12	7	aic	aic	PROPN
ejpam-1847	12	8	and	and	CCONJ
ejpam-1847	12	9	bic	bic	PROPN
ejpam-1847	12	10	are	be	AUX
ejpam-1847	12	11	general	general	ADJ
ejpam-1847	12	12	and	and	CCONJ
ejpam-1847	12	13	effective	effective	ADJ
ejpam-1847	12	14	model	model	NOUN
ejpam-1847	12	15	selection	selection	NOUN
ejpam-1847	12	16	methods	method	NOUN
ejpam-1847	12	17	for	for	ADP
ejpam-1847	12	18	measuring	measure	VERB
ejpam-1847	12	19	the	the	DET
ejpam-1847	12	20	“	"	PUNCT
ejpam-1847	12	21	goodness	goodness	NOUN
ejpam-1847	12	22	”	"	PUNCT
ejpam-1847	12	23	of	of	ADP
ejpam-1847	12	24	the	the	DET
ejpam-1847	12	25	candidate	candidate	NOUN
ejpam-1847	12	26	models	model	NOUN
ejpam-1847	12	27	.	.	PUNCT
ejpam-1847	13	1	as	as	SCONJ
ejpam-1847	13	2	shown	show	VERB
ejpam-1847	13	3	in	in	ADP
ejpam-1847	13	4	[	[	X
ejpam-1847	13	5	8	8	NUM
ejpam-1847	13	6	]	]	PUNCT
ejpam-1847	13	7	,	,	PUNCT
ejpam-1847	13	8	the	the	DET
ejpam-1847	13	9	information	information	NOUN
ejpam-1847	13	10	-	-	PUNCT
ejpam-1847	13	11	theoretic	theoretic	NOUN
ejpam-1847	13	12	criteria	criterion	NOUN
ejpam-1847	13	13	provide	provide	VERB
ejpam-1847	13	14	better	well	ADJ
ejpam-1847	13	15	model	model	NOUN
ejpam-1847	13	16	selection	selection	NOUN
ejpam-1847	13	17	performance	performance	NOUN
ejpam-1847	13	18	than	than	ADP
ejpam-1847	13	19	many	many	ADJ
ejpam-1847	13	20	other	other	ADJ
ejpam-1847	13	21	model	model	NOUN
ejpam-1847	13	22	selection	selection	NOUN
ejpam-1847	13	23	methods	method	NOUN
ejpam-1847	13	24	.	.	PUNCT
ejpam-1847	14	1	moreover	moreover	ADV
ejpam-1847	14	2	,	,	PUNCT
ejpam-1847	14	3	granger	granger	PROPN
ejpam-1847	14	4	,	,	PUNCT
ejpam-1847	14	5	king	king	NOUN
ejpam-1847	14	6	and	and	CCONJ
ejpam-1847	14	7	white	white	ADJ
ejpam-1847	14	8	[	[	X
ejpam-1847	14	9	15	15	NUM
ejpam-1847	14	10	]	]	PUNCT
ejpam-1847	14	11	noted	note	VERB
ejpam-1847	14	12	that	that	SCONJ
ejpam-1847	14	13	the	the	DET
ejpam-1847	14	14	information	information	NOUN
ejpam-1847	14	15	-	-	PUNCT
ejpam-1847	14	16	theoretic	theoretic	NOUN
ejpam-1847	14	17	criteria	criterion	NOUN
ejpam-1847	14	18	involve	involve	VERB
ejpam-1847	14	19	fewer	few	ADJ
ejpam-1847	14	20	limitations	limitation	NOUN
ejpam-1847	14	21	than	than	ADP
ejpam-1847	14	22	hypothesis	hypothesis	NOUN
ejpam-1847	14	23	test	test	NOUN
ejpam-1847	14	24	-	-	PUNCT
ejpam-1847	14	25	based	base	VERB
ejpam-1847	14	26	methods	method	NOUN
ejpam-1847	14	27	,	,	PUNCT
ejpam-1847	14	28	and	and	CCONJ
ejpam-1847	14	29	hence	hence	ADV
ejpam-1847	14	30	have	have	AUX
ejpam-1847	14	31	become	become	VERB
ejpam-1847	14	32	popular	popular	ADJ
ejpam-1847	14	33	with	with	ADP
ejpam-1847	14	34	model	model	NOUN
ejpam-1847	14	35	selection	selection	NOUN
ejpam-1847	14	36	practitioners	practitioner	NOUN
ejpam-1847	14	37	.	.	PUNCT
ejpam-1847	15	1	by	by	ADP
ejpam-1847	15	2	comparing	compare	VERB
ejpam-1847	15	3	every	every	DET
ejpam-1847	15	4	possible	possible	ADJ
ejpam-1847	15	5	candidate	candidate	NOUN
ejpam-1847	15	6	model	model	NOUN
ejpam-1847	15	7	with	with	ADP
ejpam-1847	15	8	each	each	DET
ejpam-1847	15	9	other	other	ADJ
ejpam-1847	15	10	in	in	ADP
ejpam-1847	15	11	terms	term	NOUN
ejpam-1847	15	12	of	of	ADP
ejpam-1847	15	13	their	their	PRON
ejpam-1847	15	14	respective	respective	ADJ
ejpam-1847	15	15	criterion	criterion	NOUN
ejpam-1847	15	16	values	value	NOUN
ejpam-1847	15	17	,	,	PUNCT
ejpam-1847	15	18	the	the	DET
ejpam-1847	15	19	model	model	NOUN
ejpam-1847	15	20	with	with	ADP
ejpam-1847	15	21	the	the	DET
ejpam-1847	15	22	lowest	low	ADJ
ejpam-1847	15	23	criterion	criterion	NOUN
ejpam-1847	15	24	value	value	NOUN
ejpam-1847	15	25	can	can	AUX
ejpam-1847	15	26	be	be	AUX
ejpam-1847	15	27	∗corresponding	∗corresponde	VERB
ejpam-1847	15	28	author	author	NOUN
ejpam-1847	15	29	.	.	PUNCT
ejpam-1847	16	1	email	email	NOUN
ejpam-1847	16	2	addresses	address	NOUN
ejpam-1847	16	3	:	:	PUNCT
ejpam-1847	16	4	xzhao@hqu.edu.cn	xzhao@hqu.edu.cn	PROPN
ejpam-1847	16	5	(	(	PUNCT
ejpam-1847	16	6	x.	x.	NOUN
ejpam-1847	16	7	zhao	zhao	PROPN
ejpam-1847	16	8	)	)	PUNCT
ejpam-1847	16	9	,	,	PUNCT
ejpam-1847	16	10	g.qian@ms.unimelb.edu.au	g.qian@ms.unimelb.edu.au	X
ejpam-1847	16	11	(	(	PUNCT
ejpam-1847	16	12	g.	g.	PROPN
ejpam-1847	16	13	qian	qian	PROPN
ejpam-1847	16	14	)	)	PUNCT
ejpam-1847	16	15	http://www.ejpam.com	http://www.ejpam.com	X
ejpam-1847	17	1	1	1	NUM
ejpam-1847	18	1	c	c	X
ejpam-1847	18	2	©	©	PROPN
ejpam-1847	18	3	2014	2014	NUM
ejpam-1847	18	4	ejpam	ejpam	NOUN
ejpam-1847	18	5	all	all	DET
ejpam-1847	18	6	rights	right	NOUN
ejpam-1847	18	7	reserved	reserve	VERB
ejpam-1847	18	8	.	.	PUNCT
ejpam-1847	19	1	x.zhao	x.zhao	PROPN
ejpam-1847	19	2	,	,	PUNCT
ejpam-1847	19	3	g.	g.	PROPN
ejpam-1847	19	4	qian	qian	PROPN
ejpam-1847	19	5	/	/	SYM
ejpam-1847	19	6	eur	eur	PROPN
ejpam-1847	19	7	.	.	PUNCT
ejpam-1847	20	1	j.	j.	PROPN
ejpam-1847	20	2	pure	pure	PROPN
ejpam-1847	20	3	appl	appl	PROPN
ejpam-1847	20	4	.	.	PROPN
ejpam-1847	20	5	math	math	PROPN
ejpam-1847	20	6	,	,	PUNCT
ejpam-1847	20	7	7	7	NUM
ejpam-1847	20	8	(	(	PUNCT
ejpam-1847	20	9	2014	2014	NUM
ejpam-1847	20	10	)	)	PUNCT
ejpam-1847	20	11	,	,	PUNCT
ejpam-1847	20	12	1	1	NUM
ejpam-1847	20	13	-	-	SYM
ejpam-1847	20	14	21	21	NUM
ejpam-1847	20	15	2	2	NUM
ejpam-1847	20	16	considered	consider	VERB
ejpam-1847	20	17	as	as	ADP
ejpam-1847	20	18	the	the	DET
ejpam-1847	20	19	best	good	ADJ
ejpam-1847	20	20	estimate	estimate	NOUN
ejpam-1847	20	21	of	of	ADP
ejpam-1847	20	22	the	the	DET
ejpam-1847	20	23	unknown	unknown	ADJ
ejpam-1847	20	24	true	true	ADJ
ejpam-1847	20	25	model	model	NOUN
ejpam-1847	20	26	.	.	PUNCT
ejpam-1847	21	1	however	however	ADV
ejpam-1847	21	2	,	,	PUNCT
ejpam-1847	21	3	difficulty	difficulty	NOUN
ejpam-1847	21	4	may	may	AUX
ejpam-1847	21	5	arise	arise	VERB
ejpam-1847	21	6	in	in	ADP
ejpam-1847	21	7	var	var	PROPN
ejpam-1847	21	8	model	model	NOUN
ejpam-1847	21	9	selection	selection	NOUN
ejpam-1847	21	10	when	when	SCONJ
ejpam-1847	21	11	the	the	DET
ejpam-1847	21	12	number	number	NOUN
ejpam-1847	21	13	of	of	ADP
ejpam-1847	21	14	the	the	DET
ejpam-1847	21	15	candidate	candidate	NOUN
ejpam-1847	21	16	models	model	NOUN
ejpam-1847	21	17	is	be	AUX
ejpam-1847	21	18	extremely	extremely	ADV
ejpam-1847	21	19	large	large	ADJ
ejpam-1847	21	20	.	.	PUNCT
ejpam-1847	22	1	specifically	specifically	ADV
ejpam-1847	22	2	,	,	PUNCT
ejpam-1847	22	3	assuming	assume	VERB
ejpam-1847	22	4	that	that	SCONJ
ejpam-1847	22	5	some	some	PRON
ejpam-1847	22	6	of	of	ADP
ejpam-1847	22	7	the	the	DET
ejpam-1847	22	8	coefficients	coefficient	NOUN
ejpam-1847	22	9	in	in	ADP
ejpam-1847	22	10	the	the	DET
ejpam-1847	22	11	var	var	NOUN
ejpam-1847	22	12	system	system	NOUN
ejpam-1847	22	13	are	be	AUX
ejpam-1847	22	14	actually	actually	ADV
ejpam-1847	22	15	equal	equal	ADJ
ejpam-1847	22	16	zero	zero	NUM
ejpam-1847	22	17	(	(	PUNCT
ejpam-1847	22	18	i.e.	i.e.	X
ejpam-1847	22	19	zero	zero	NUM
ejpam-1847	22	20	restricted	restrict	VERB
ejpam-1847	22	21	)	)	PUNCT
ejpam-1847	22	22	in	in	ADP
ejpam-1847	22	23	the	the	DET
ejpam-1847	22	24	true	true	ADJ
ejpam-1847	22	25	model	model	NOUN
ejpam-1847	22	26	,	,	PUNCT
ejpam-1847	22	27	then	then	ADV
ejpam-1847	22	28	there	there	PRON
ejpam-1847	22	29	would	would	AUX
ejpam-1847	22	30	be	be	AUX
ejpam-1847	22	31	2pq2+q	2pq2+q	NUM
ejpam-1847	22	32	candidate	candidate	NOUN
ejpam-1847	22	33	var	var	NOUN
ejpam-1847	22	34	models	model	NOUN
ejpam-1847	22	35	for	for	SCONJ
ejpam-1847	22	36	us	we	PRON
ejpam-1847	22	37	to	to	PART
ejpam-1847	22	38	decide	decide	VERB
ejpam-1847	22	39	which	which	PRON
ejpam-1847	22	40	of	of	ADP
ejpam-1847	22	41	them	they	PRON
ejpam-1847	22	42	is	be	AUX
ejpam-1847	22	43	the	the	DET
ejpam-1847	22	44	true	true	ADJ
ejpam-1847	22	45	one	one	NUM
ejpam-1847	22	46	.	.	PUNCT
ejpam-1847	23	1	here	here	ADV
ejpam-1847	23	2	p	p	X
ejpam-1847	23	3	is	be	AUX
ejpam-1847	23	4	the	the	DET
ejpam-1847	23	5	order	order	NOUN
ejpam-1847	23	6	of	of	ADP
ejpam-1847	23	7	autoregression	autoregression	NOUN
ejpam-1847	23	8	and	and	CCONJ
ejpam-1847	23	9	q	q	NOUN
ejpam-1847	23	10	is	be	AUX
ejpam-1847	23	11	the	the	DET
ejpam-1847	23	12	dimension	dimension	NOUN
ejpam-1847	23	13	of	of	ADP
ejpam-1847	23	14	data	datum	NOUN
ejpam-1847	23	15	at	at	ADP
ejpam-1847	23	16	each	each	DET
ejpam-1847	23	17	time	time	NOUN
ejpam-1847	23	18	point	point	NOUN
ejpam-1847	23	19	.	.	PUNCT
ejpam-1847	24	1	even	even	ADV
ejpam-1847	24	2	when	when	SCONJ
ejpam-1847	24	3	p	p	NOUN
ejpam-1847	24	4	or	or	CCONJ
ejpam-1847	24	5	q	q	NOUN
ejpam-1847	24	6	is	be	AUX
ejpam-1847	24	7	small	small	ADJ
ejpam-1847	24	8	,	,	PUNCT
ejpam-1847	24	9	say	say	VERB
ejpam-1847	24	10	p	p	NOUN
ejpam-1847	24	11	=	=	PROPN
ejpam-1847	24	12	3	3	NUM
ejpam-1847	24	13	and	and	CCONJ
ejpam-1847	24	14	q	q	NOUN
ejpam-1847	25	1	=	=	SYM
ejpam-1847	25	2	3	3	NUM
ejpam-1847	25	3	,	,	PUNCT
ejpam-1847	25	4	which	which	PRON
ejpam-1847	25	5	is	be	AUX
ejpam-1847	25	6	very	very	ADV
ejpam-1847	25	7	possible	possible	ADJ
ejpam-1847	25	8	for	for	ADP
ejpam-1847	25	9	multivariate	multivariate	NOUN
ejpam-1847	25	10	time	time	NOUN
ejpam-1847	25	11	series	series	NOUN
ejpam-1847	25	12	,	,	PUNCT
ejpam-1847	25	13	there	there	PRON
ejpam-1847	25	14	would	would	AUX
ejpam-1847	25	15	be	be	AUX
ejpam-1847	25	16	as	as	ADV
ejpam-1847	25	17	many	many	ADJ
ejpam-1847	25	18	as	as	ADP
ejpam-1847	25	19	230	230	NUM
ejpam-1847	25	20	candidate	candidate	NOUN
ejpam-1847	25	21	models	model	NOUN
ejpam-1847	25	22	.	.	PUNCT
ejpam-1847	26	1	clearly	clearly	ADV
ejpam-1847	26	2	,	,	PUNCT
ejpam-1847	26	3	it	it	PRON
ejpam-1847	26	4	is	be	AUX
ejpam-1847	26	5	computationally	computationally	ADV
ejpam-1847	26	6	infeasible	infeasible	ADJ
ejpam-1847	26	7	to	to	PART
ejpam-1847	26	8	conduct	conduct	VERB
ejpam-1847	26	9	model	model	NOUN
ejpam-1847	26	10	selection	selection	NOUN
ejpam-1847	26	11	by	by	ADP
ejpam-1847	26	12	comparing	compare	VERB
ejpam-1847	26	13	every	every	DET
ejpam-1847	26	14	possible	possible	ADJ
ejpam-1847	26	15	candidate	candidate	NOUN
ejpam-1847	26	16	model	model	NOUN
ejpam-1847	26	17	with	with	ADP
ejpam-1847	26	18	each	each	DET
ejpam-1847	26	19	other	other	ADJ
ejpam-1847	26	20	in	in	ADP
ejpam-1847	26	21	terms	term	NOUN
ejpam-1847	26	22	of	of	ADP
ejpam-1847	26	23	their	their	PRON
ejpam-1847	26	24	respective	respective	ADJ
ejpam-1847	26	25	model	model	NOUN
ejpam-1847	26	26	selection	selection	NOUN
ejpam-1847	26	27	criterion	criterion	NOUN
ejpam-1847	26	28	values	value	NOUN
ejpam-1847	26	29	.	.	PUNCT
ejpam-1847	27	1	fortunately	fortunately	ADV
ejpam-1847	27	2	,	,	PUNCT
ejpam-1847	27	3	with	with	ADP
ejpam-1847	27	4	the	the	DET
ejpam-1847	27	5	availability	availability	NOUN
ejpam-1847	27	6	of	of	ADP
ejpam-1847	27	7	powerful	powerful	ADJ
ejpam-1847	27	8	computers	computer	NOUN
ejpam-1847	27	9	and	and	CCONJ
ejpam-1847	27	10	recently	recently	ADV
ejpam-1847	27	11	developed	develop	VERB
ejpam-1847	27	12	intensive	intensive	ADJ
ejpam-1847	27	13	statistical	statistical	ADJ
ejpam-1847	27	14	computing	computing	NOUN
ejpam-1847	27	15	technology	technology	NOUN
ejpam-1847	27	16	we	we	PRON
ejpam-1847	27	17	are	be	AUX
ejpam-1847	27	18	able	able	ADJ
ejpam-1847	27	19	to	to	PART
ejpam-1847	27	20	develop	develop	VERB
ejpam-1847	27	21	an	an	DET
ejpam-1847	27	22	efficient	efficient	ADJ
ejpam-1847	27	23	model	model	NOUN
ejpam-1847	27	24	selection	selection	NOUN
ejpam-1847	27	25	procedure	procedure	NOUN
ejpam-1847	27	26	in	in	ADP
ejpam-1847	27	27	this	this	DET
ejpam-1847	27	28	paper	paper	NOUN
ejpam-1847	27	29	,	,	PUNCT
ejpam-1847	27	30	by	by	ADP
ejpam-1847	27	31	which	which	PRON
ejpam-1847	27	32	we	we	PRON
ejpam-1847	27	33	can	can	AUX
ejpam-1847	27	34	find	find	VERB
ejpam-1847	27	35	the	the	DET
ejpam-1847	27	36	best	good	ADJ
ejpam-1847	27	37	model	model	NOUN
ejpam-1847	27	38	estimate	estimate	NOUN
ejpam-1847	27	39	with	with	ADP
ejpam-1847	27	40	high	high	ADJ
ejpam-1847	27	41	probability	probability	NOUN
ejpam-1847	27	42	and	and	CCONJ
ejpam-1847	27	43	efficiency	efficiency	NOUN
ejpam-1847	27	44	,	,	PUNCT
ejpam-1847	27	45	and	and	CCONJ
ejpam-1847	27	46	without	without	ADP
ejpam-1847	27	47	a	a	DET
ejpam-1847	27	48	need	need	NOUN
ejpam-1847	27	49	to	to	PART
ejpam-1847	27	50	compare	compare	VERB
ejpam-1847	27	51	all	all	DET
ejpam-1847	27	52	candidate	candidate	NOUN
ejpam-1847	27	53	models	model	NOUN
ejpam-1847	27	54	one	one	NUM
ejpam-1847	27	55	by	by	ADP
ejpam-1847	27	56	one	one	NUM
ejpam-1847	27	57	.	.	PUNCT
ejpam-1847	28	1	the	the	DET
ejpam-1847	28	2	key	key	ADJ
ejpam-1847	28	3	idea	idea	NOUN
ejpam-1847	28	4	in	in	ADP
ejpam-1847	28	5	our	our	PRON
ejpam-1847	28	6	procedure	procedure	NOUN
ejpam-1847	28	7	is	be	AUX
ejpam-1847	28	8	to	to	PART
ejpam-1847	28	9	first	first	ADV
ejpam-1847	28	10	establish	establish	VERB
ejpam-1847	28	11	a	a	DET
ejpam-1847	28	12	probability	probability	NOUN
ejpam-1847	28	13	distribution	distribution	NOUN
ejpam-1847	28	14	induced	induce	VERB
ejpam-1847	28	15	from	from	ADP
ejpam-1847	28	16	the	the	DET
ejpam-1847	28	17	criterion	criterion	NOUN
ejpam-1847	28	18	values	value	NOUN
ejpam-1847	28	19	of	of	ADP
ejpam-1847	28	20	all	all	DET
ejpam-1847	28	21	candidate	candidate	NOUN
ejpam-1847	28	22	models	model	NOUN
ejpam-1847	28	23	,	,	PUNCT
ejpam-1847	28	24	and	and	CCONJ
ejpam-1847	28	25	then	then	ADV
ejpam-1847	28	26	generate	generate	VERB
ejpam-1847	28	27	samples	sample	NOUN
ejpam-1847	28	28	of	of	ADP
ejpam-1847	28	29	candidate	candidate	NOUN
ejpam-1847	28	30	models	model	NOUN
ejpam-1847	28	31	from	from	ADP
ejpam-1847	28	32	this	this	DET
ejpam-1847	28	33	distribution	distribution	NOUN
ejpam-1847	28	34	using	use	VERB
ejpam-1847	28	35	gibbs	gibbs	PROPN
ejpam-1847	28	36	sampler	sampler	NOUN
ejpam-1847	28	37	,	,	PUNCT
ejpam-1847	28	38	a	a	DET
ejpam-1847	28	39	special	special	ADJ
ejpam-1847	28	40	algorithm	algorithm	NOUN
ejpam-1847	28	41	of	of	ADP
ejpam-1847	28	42	the	the	DET
ejpam-1847	28	43	markov	markov	NOUN
ejpam-1847	28	44	chain	chain	NOUN
ejpam-1847	28	45	monte	monte	PROPN
ejpam-1847	28	46	carlo	carlo	PROPN
ejpam-1847	28	47	method	method	PROPN
ejpam-1847	28	48	(	(	PUNCT
ejpam-1847	28	49	mcmc	mcmc	PROPN
ejpam-1847	28	50	)	)	PUNCT
ejpam-1847	28	51	.	.	PUNCT
ejpam-1847	29	1	by	by	ADP
ejpam-1847	29	2	our	our	PRON
ejpam-1847	29	3	procedure	procedure	NOUN
ejpam-1847	29	4	,	,	PUNCT
ejpam-1847	29	5	the	the	DET
ejpam-1847	29	6	model	model	NOUN
ejpam-1847	29	7	that	that	PRON
ejpam-1847	29	8	has	have	VERB
ejpam-1847	29	9	the	the	DET
ejpam-1847	29	10	lowest	low	ADJ
ejpam-1847	29	11	criterion	criterion	NOUN
ejpam-1847	29	12	value	value	NOUN
ejpam-1847	29	13	will	will	AUX
ejpam-1847	29	14	tend	tend	VERB
ejpam-1847	29	15	to	to	PART
ejpam-1847	29	16	appear	appear	VERB
ejpam-1847	29	17	among	among	ADP
ejpam-1847	29	18	the	the	DET
ejpam-1847	29	19	earliest	early	ADJ
ejpam-1847	29	20	and	and	CCONJ
ejpam-1847	29	21	the	the	DET
ejpam-1847	29	22	most	most	ADV
ejpam-1847	29	23	frequent	frequent	ADJ
ejpam-1847	29	24	in	in	ADP
ejpam-1847	29	25	the	the	DET
ejpam-1847	29	26	sample	sample	NOUN
ejpam-1847	29	27	if	if	SCONJ
ejpam-1847	29	28	the	the	DET
ejpam-1847	29	29	number	number	NOUN
ejpam-1847	29	30	of	of	ADP
ejpam-1847	29	31	the	the	DET
ejpam-1847	29	32	models	model	NOUN
ejpam-1847	29	33	being	be	AUX
ejpam-1847	29	34	generated	generate	VERB
ejpam-1847	29	35	is	be	AUX
ejpam-1847	29	36	large	large	ADJ
ejpam-1847	29	37	enough	enough	ADV
ejpam-1847	29	38	.	.	PUNCT
ejpam-1847	30	1	since	since	SCONJ
ejpam-1847	30	2	the	the	DET
ejpam-1847	30	3	generated	generate	VERB
ejpam-1847	30	4	sample	sample	NOUN
ejpam-1847	30	5	usually	usually	ADV
ejpam-1847	30	6	has	have	VERB
ejpam-1847	30	7	a	a	DET
ejpam-1847	30	8	size	size	NOUN
ejpam-1847	30	9	of	of	ADP
ejpam-1847	30	10	only	only	ADV
ejpam-1847	30	11	a	a	DET
ejpam-1847	30	12	small	small	ADJ
ejpam-1847	30	13	fraction	fraction	NOUN
ejpam-1847	30	14	of	of	ADP
ejpam-1847	30	15	that	that	PRON
ejpam-1847	30	16	of	of	ADP
ejpam-1847	30	17	all	all	DET
ejpam-1847	30	18	candidate	candidate	NOUN
ejpam-1847	30	19	models	model	NOUN
ejpam-1847	30	20	,	,	PUNCT
ejpam-1847	30	21	the	the	DET
ejpam-1847	30	22	proposed	propose	VERB
ejpam-1847	30	23	algorithm	algorithm	NOUN
ejpam-1847	30	24	is	be	AUX
ejpam-1847	30	25	computationally	computationally	ADV
ejpam-1847	30	26	feasible	feasible	ADJ
ejpam-1847	30	27	and	and	CCONJ
ejpam-1847	30	28	efficient	efficient	ADJ
ejpam-1847	30	29	.	.	PUNCT
ejpam-1847	31	1	the	the	DET
ejpam-1847	31	2	aim	aim	NOUN
ejpam-1847	31	3	of	of	ADP
ejpam-1847	31	4	this	this	DET
ejpam-1847	31	5	paper	paper	NOUN
ejpam-1847	31	6	is	be	AUX
ejpam-1847	31	7	not	not	PART
ejpam-1847	31	8	to	to	PART
ejpam-1847	31	9	propose	propose	VERB
ejpam-1847	31	10	another	another	DET
ejpam-1847	31	11	var	var	NOUN
ejpam-1847	31	12	model	model	NOUN
ejpam-1847	31	13	selection	selection	NOUN
ejpam-1847	31	14	criterion	criterion	NOUN
ejpam-1847	31	15	.	.	PUNCT
ejpam-1847	32	1	rather	rather	ADV
ejpam-1847	32	2	we	we	PRON
ejpam-1847	32	3	focus	focus	VERB
ejpam-1847	32	4	on	on	ADP
ejpam-1847	32	5	the	the	DET
ejpam-1847	32	6	aforementioned	aforementioned	ADJ
ejpam-1847	32	7	computing	compute	VERB
ejpam-1847	32	8	issue	issue	NOUN
ejpam-1847	32	9	of	of	ADP
ejpam-1847	32	10	var	var	NOUN
ejpam-1847	32	11	model	model	NOUN
ejpam-1847	32	12	selection	selection	NOUN
ejpam-1847	32	13	that	that	PRON
ejpam-1847	32	14	is	be	AUX
ejpam-1847	32	15	largely	largely	ADV
ejpam-1847	32	16	ignored	ignore	VERB
ejpam-1847	32	17	in	in	ADP
ejpam-1847	32	18	literature	literature	NOUN
ejpam-1847	32	19	but	but	CCONJ
ejpam-1847	32	20	needs	need	VERB
ejpam-1847	32	21	to	to	PART
ejpam-1847	32	22	be	be	AUX
ejpam-1847	32	23	addressed	address	VERB
ejpam-1847	32	24	when	when	SCONJ
ejpam-1847	32	25	there	there	PRON
ejpam-1847	32	26	are	be	VERB
ejpam-1847	32	27	very	very	ADV
ejpam-1847	32	28	many	many	ADJ
ejpam-1847	32	29	candidate	candidate	NOUN
ejpam-1847	32	30	models	model	NOUN
ejpam-1847	32	31	available	available	ADJ
ejpam-1847	32	32	for	for	ADP
ejpam-1847	32	33	selection	selection	NOUN
ejpam-1847	32	34	.	.	PUNCT
ejpam-1847	33	1	we	we	PRON
ejpam-1847	33	2	still	still	ADV
ejpam-1847	33	3	need	need	VERB
ejpam-1847	33	4	to	to	PART
ejpam-1847	33	5	employ	employ	VERB
ejpam-1847	33	6	an	an	DET
ejpam-1847	33	7	existent	existent	ADJ
ejpam-1847	33	8	criterion	criterion	NOUN
ejpam-1847	33	9	such	such	ADJ
ejpam-1847	33	10	as	as	ADP
ejpam-1847	33	11	aic	aic	PROPN
ejpam-1847	33	12	and	and	CCONJ
ejpam-1847	33	13	bic	bic	PROPN
ejpam-1847	33	14	in	in	ADP
ejpam-1847	33	15	our	our	PRON
ejpam-1847	33	16	model	model	NOUN
ejpam-1847	33	17	selection	selection	NOUN
ejpam-1847	33	18	procedure	procedure	NOUN
ejpam-1847	33	19	.	.	PUNCT
ejpam-1847	34	1	the	the	DET
ejpam-1847	34	2	paper	paper	NOUN
ejpam-1847	34	3	is	be	AUX
ejpam-1847	34	4	organized	organize	VERB
ejpam-1847	34	5	as	as	SCONJ
ejpam-1847	34	6	follows	follow	VERB
ejpam-1847	34	7	.	.	PUNCT
ejpam-1847	35	1	section	section	NOUN
ejpam-1847	35	2	2	2	NUM
ejpam-1847	35	3	introduces	introduce	NOUN
ejpam-1847	35	4	the	the	DET
ejpam-1847	35	5	basics	basic	NOUN
ejpam-1847	35	6	of	of	ADP
ejpam-1847	35	7	var	var	NOUN
ejpam-1847	35	8	modelling	modelling	NOUN
ejpam-1847	35	9	.	.	PUNCT
ejpam-1847	36	1	section	section	NOUN
ejpam-1847	36	2	3	3	NUM
ejpam-1847	36	3	describes	describe	VERB
ejpam-1847	36	4	several	several	ADJ
ejpam-1847	36	5	commonly	commonly	ADV
ejpam-1847	36	6	used	use	VERB
ejpam-1847	36	7	model	model	NOUN
ejpam-1847	36	8	selection	selection	NOUN
ejpam-1847	36	9	criteria	criterion	NOUN
ejpam-1847	36	10	and	and	CCONJ
ejpam-1847	36	11	the	the	DET
ejpam-1847	36	12	computing	compute	VERB
ejpam-1847	36	13	difficulty	difficulty	NOUN
ejpam-1847	36	14	in	in	ADP
ejpam-1847	36	15	var	var	NOUN
ejpam-1847	36	16	model	model	NOUN
ejpam-1847	36	17	selection	selection	NOUN
ejpam-1847	36	18	.	.	PUNCT
ejpam-1847	37	1	section	section	NOUN
ejpam-1847	37	2	4	4	NUM
ejpam-1847	37	3	provides	provide	VERB
ejpam-1847	37	4	details	detail	NOUN
ejpam-1847	37	5	of	of	ADP
ejpam-1847	37	6	the	the	DET
ejpam-1847	37	7	proposed	propose	VERB
ejpam-1847	37	8	model	model	NOUN
ejpam-1847	37	9	selection	selection	NOUN
ejpam-1847	37	10	procedure	procedure	NOUN
ejpam-1847	37	11	and	and	CCONJ
ejpam-1847	37	12	empirical	empirical	ADJ
ejpam-1847	37	13	rules	rule	NOUN
ejpam-1847	37	14	on	on	ADP
ejpam-1847	37	15	how	how	SCONJ
ejpam-1847	37	16	to	to	PART
ejpam-1847	37	17	perform	perform	VERB
ejpam-1847	37	18	model	model	NOUN
ejpam-1847	37	19	selection	selection	NOUN
ejpam-1847	37	20	in	in	ADP
ejpam-1847	37	21	practice	practice	NOUN
ejpam-1847	37	22	.	.	PUNCT
ejpam-1847	38	1	then	then	ADV
ejpam-1847	38	2	in	in	ADP
ejpam-1847	38	3	section	section	NOUN
ejpam-1847	38	4	5	5	NUM
ejpam-1847	38	5	we	we	PRON
ejpam-1847	38	6	provide	provide	VERB
ejpam-1847	38	7	a	a	DET
ejpam-1847	38	8	simulation	simulation	NOUN
ejpam-1847	38	9	study	study	NOUN
ejpam-1847	38	10	and	and	CCONJ
ejpam-1847	38	11	complete	complete	VERB
ejpam-1847	38	12	the	the	DET
ejpam-1847	38	13	analysis	analysis	NOUN
ejpam-1847	38	14	of	of	ADP
ejpam-1847	38	15	model	model	NOUN
ejpam-1847	38	16	selection	selection	NOUN
ejpam-1847	38	17	for	for	ADP
ejpam-1847	38	18	china	china	PROPN
ejpam-1847	38	19	’s	’s	PART
ejpam-1847	38	20	money	money	NOUN
ejpam-1847	38	21	supply	supply	NOUN
ejpam-1847	38	22	and	and	CCONJ
ejpam-1847	38	23	cpi	cpi	PROPN
ejpam-1847	38	24	data	data	PROPN
ejpam-1847	38	25	.	.	PUNCT
ejpam-1847	39	1	the	the	DET
ejpam-1847	39	2	paper	paper	NOUN
ejpam-1847	39	3	ends	end	VERB
ejpam-1847	39	4	with	with	ADP
ejpam-1847	39	5	a	a	DET
ejpam-1847	39	6	conclusion	conclusion	NOUN
ejpam-1847	39	7	given	give	VERB
ejpam-1847	39	8	in	in	ADP
ejpam-1847	39	9	section	section	NOUN
ejpam-1847	39	10	6	6	NUM
ejpam-1847	39	11	.	.	NOUN
ejpam-1847	39	12	2	2	NUM
ejpam-1847	39	13	.	.	X
ejpam-1847	39	14	basics	basic	NOUN
ejpam-1847	39	15	of	of	ADP
ejpam-1847	39	16	var	var	NOUN
ejpam-1847	39	17	modelling	modelling	NOUN
ejpam-1847	39	18	let	let	VERB
ejpam-1847	39	19	yt	yt	PRON
ejpam-1847	39	20	denote	denote	VERB
ejpam-1847	39	21	a	a	DET
ejpam-1847	39	22	q×	q×	NUM
ejpam-1847	39	23	1	1	NUM
ejpam-1847	39	24	vector	vector	NOUN
ejpam-1847	39	25	containing	contain	VERB
ejpam-1847	39	26	the	the	DET
ejpam-1847	39	27	measurements	measurement	NOUN
ejpam-1847	39	28	of	of	ADP
ejpam-1847	39	29	q	q	NOUN
ejpam-1847	39	30	time	time	NOUN
ejpam-1847	39	31	series	series	NOUN
ejpam-1847	39	32	at	at	ADP
ejpam-1847	39	33	time	time	NOUN
ejpam-1847	39	34	t.	t.	NOUN
ejpam-1847	39	35	the	the	DET
ejpam-1847	39	36	dynamics	dynamic	NOUN
ejpam-1847	39	37	of	of	ADP
ejpam-1847	39	38	yt	yt	NOUN
ejpam-1847	39	39	are	be	AUX
ejpam-1847	39	40	presumed	presume	VERB
ejpam-1847	39	41	to	to	PART
ejpam-1847	39	42	be	be	AUX
ejpam-1847	39	43	governed	govern	VERB
ejpam-1847	39	44	by	by	ADP
ejpam-1847	39	45	a	a	DET
ejpam-1847	39	46	pth	pth	NOUN
ejpam-1847	39	47	-	-	PUNCT
ejpam-1847	39	48	order	order	NOUN
ejpam-1847	39	49	gaussian	gaussian	ADJ
ejpam-1847	39	50	vector	vector	NOUN
ejpam-1847	39	51	autoregressive	autoregressive	ADJ
ejpam-1847	39	52	process	process	NOUN
ejpam-1847	39	53	,	,	PUNCT
ejpam-1847	39	54	yt	yt	PROPN
ejpam-1847	39	55	=	=	SYM
ejpam-1847	39	56	φ0+φ1yt−1+φ2yt−2	φ0+φ1yt−1+φ2yt−2	PROPN
ejpam-1847	39	57	+	+	NOUN
ejpam-1847	39	58	.	.	PUNCT
ejpam-1847	39	59	.	.	PUNCT
ejpam-1847	40	1	.+φpyt−p	.+φpyt−p	PUNCT
ejpam-1847	41	1	+	+	CCONJ
ejpam-1847	41	2	et	et	NOUN
ejpam-1847	41	3	,	,	PUNCT
ejpam-1847	41	4	(	(	PUNCT
ejpam-1847	41	5	1	1	X
ejpam-1847	41	6	)	)	PUNCT
ejpam-1847	41	7	which	which	PRON
ejpam-1847	41	8	comprises	comprise	VERB
ejpam-1847	41	9	q	q	PROPN
ejpam-1847	41	10	equations	equation	NOUN
ejpam-1847	41	11	and	and	CCONJ
ejpam-1847	41	12	is	be	AUX
ejpam-1847	41	13	called	call	VERB
ejpam-1847	41	14	a	a	DET
ejpam-1847	41	15	var	var	NOUN
ejpam-1847	41	16	system	system	NOUN
ejpam-1847	41	17	.	.	PUNCT
ejpam-1847	42	1	here	here	ADV
ejpam-1847	42	2	φ0	φ0	PROPN
ejpam-1847	42	3	denotes	denote	VERB
ejpam-1847	42	4	a	a	DET
ejpam-1847	42	5	q	q	NOUN
ejpam-1847	42	6	×	×	NOUN
ejpam-1847	42	7	1	1	NUM
ejpam-1847	42	8	vector	vector	NOUN
ejpam-1847	42	9	of	of	ADP
ejpam-1847	42	10	intercept	intercept	NOUN
ejpam-1847	42	11	constants	constant	NOUN
ejpam-1847	42	12	and	and	CCONJ
ejpam-1847	42	13	φ	φ	PROPN
ejpam-1847	42	14	j	j	PROPN
ejpam-1847	42	15	a	a	DET
ejpam-1847	42	16	q×	q×	PUNCT
ejpam-1847	42	17	q	q	NOUN
ejpam-1847	42	18	matrix	matrix	NOUN
ejpam-1847	42	19	of	of	ADP
ejpam-1847	42	20	autoregressive	autoregressive	ADJ
ejpam-1847	42	21	coefficients	coefficient	NOUN
ejpam-1847	42	22	for	for	ADP
ejpam-1847	42	23	j	j	PROPN
ejpam-1847	42	24	=	=	SYM
ejpam-1847	42	25	1	1	NUM
ejpam-1847	42	26	,	,	PUNCT
ejpam-1847	42	27	2	2	NUM
ejpam-1847	42	28	,	,	PUNCT
ejpam-1847	42	29	.	.	PUNCT
ejpam-1847	42	30	.	.	PUNCT
ejpam-1847	43	1	.	.	PUNCT
ejpam-1847	44	1	,	,	PUNCT
ejpam-1847	44	2	p.	p.	NOUN
ejpam-1847	44	3	all	all	PRON
ejpam-1847	44	4	of	of	ADP
ejpam-1847	44	5	φ0	φ0	PROPN
ejpam-1847	44	6	and	and	CCONJ
ejpam-1847	44	7	φ	φ	PROPN
ejpam-1847	44	8	j	j	PROPN
ejpam-1847	44	9	are	be	AUX
ejpam-1847	44	10	unknown	unknown	ADJ
ejpam-1847	44	11	and	and	CCONJ
ejpam-1847	44	12	to	to	PART
ejpam-1847	44	13	be	be	AUX
ejpam-1847	44	14	estimated	estimate	VERB
ejpam-1847	44	15	from	from	ADP
ejpam-1847	44	16	the	the	DET
ejpam-1847	44	17	observed	observe	VERB
ejpam-1847	44	18	data	datum	NOUN
ejpam-1847	44	19	.	.	PUNCT
ejpam-1847	45	1	the	the	DET
ejpam-1847	45	2	q	q	X
ejpam-1847	45	3	×	×	NOUN
ejpam-1847	45	4	1	1	NUM
ejpam-1847	45	5	vector	vector	NOUN
ejpam-1847	45	6	x.zhao	x.zhao	PROPN
ejpam-1847	45	7	,	,	PUNCT
ejpam-1847	45	8	g.	g.	PROPN
ejpam-1847	45	9	qian	qian	PROPN
ejpam-1847	45	10	/	/	SYM
ejpam-1847	45	11	eur	eur	PROPN
ejpam-1847	45	12	.	.	PUNCT
ejpam-1847	46	1	j.	j.	PROPN
ejpam-1847	46	2	pure	pure	PROPN
ejpam-1847	46	3	appl	appl	PROPN
ejpam-1847	46	4	.	.	PROPN
ejpam-1847	46	5	math	math	PROPN
ejpam-1847	46	6	,	,	PUNCT
ejpam-1847	46	7	7	7	NUM
ejpam-1847	46	8	(	(	PUNCT
ejpam-1847	46	9	2014	2014	NUM
ejpam-1847	46	10	)	)	PUNCT
ejpam-1847	46	11	,	,	PUNCT
ejpam-1847	46	12	1	1	NUM
ejpam-1847	46	13	-	-	SYM
ejpam-1847	46	14	21	21	NUM
ejpam-1847	46	15	3	3	NUM
ejpam-1847	46	16	et	et	NOUN
ejpam-1847	46	17	=	=	PUNCT
ejpam-1847	46	18	(	(	PUNCT
ejpam-1847	46	19	ε1	ε1	PROPN
ejpam-1847	46	20	t	t	PROPN
ejpam-1847	46	21	,	,	PUNCT
ejpam-1847	46	22	ε2	ε2	PROPN
ejpam-1847	46	23	t	t	PROPN
ejpam-1847	46	24	,	,	PUNCT
ejpam-1847	46	25	.	.	PUNCT
ejpam-1847	46	26	.	.	PUNCT
ejpam-1847	47	1	.	.	PUNCT
ejpam-1847	48	1	,	,	PUNCT
ejpam-1847	48	2	εqt)′	εqt)′	PROPN
ejpam-1847	48	3	is	be	AUX
ejpam-1847	48	4	a	a	DET
ejpam-1847	48	5	vector	vector	NOUN
ejpam-1847	48	6	of	of	ADP
ejpam-1847	48	7	innovations	innovation	NOUN
ejpam-1847	48	8	that	that	PRON
ejpam-1847	48	9	satisfies	satisfy	VERB
ejpam-1847	48	10	:	:	PUNCT
ejpam-1847	48	11	e(et	e(et	X
ejpam-1847	48	12	)	)	PUNCT
ejpam-1847	49	1	=	=	SYM
ejpam-1847	49	2	0	0	NUM
ejpam-1847	49	3	and	and	CCONJ
ejpam-1847	49	4	e(et	e(et	NOUN
ejpam-1847	49	5	e	e	NOUN
ejpam-1847	49	6	′	′	NUM
ejpam-1847	49	7	s	s	NOUN
ejpam-1847	49	8	)	)	PUNCT
ejpam-1847	49	9	=	=	SYM
ejpam-1847	49	10	(	(	PUNCT
ejpam-1847	49	11	σ	σ	NOUN
ejpam-1847	49	12	for	for	ADP
ejpam-1847	49	13	t	t	NOUN
ejpam-1847	49	14	=	=	SYM
ejpam-1847	49	15	s	s	PART
ejpam-1847	49	16	0	0	NUM
ejpam-1847	49	17	otherwise	otherwise	ADV
ejpam-1847	49	18	with	with	ADP
ejpam-1847	49	19	σ	σ	NOUN
ejpam-1847	49	20	being	be	AUX
ejpam-1847	49	21	an	an	DET
ejpam-1847	49	22	unknown	unknown	ADJ
ejpam-1847	49	23	q	q	NOUN
ejpam-1847	49	24	×	×	NOUN
ejpam-1847	49	25	q	q	X
ejpam-1847	49	26	symmetric	symmetric	ADJ
ejpam-1847	49	27	positive	positive	ADJ
ejpam-1847	49	28	definite	definite	ADJ
ejpam-1847	49	29	matrix	matrix	NOUN
ejpam-1847	49	30	to	to	PART
ejpam-1847	49	31	be	be	AUX
ejpam-1847	49	32	estimated	estimate	VERB
ejpam-1847	49	33	.	.	PUNCT
ejpam-1847	50	1	here	here	ADV
ejpam-1847	50	2	the	the	DET
ejpam-1847	50	3	components	component	NOUN
ejpam-1847	50	4	of	of	ADP
ejpam-1847	50	5	et	et	NOUN
ejpam-1847	50	6	may	may	AUX
ejpam-1847	50	7	be	be	AUX
ejpam-1847	50	8	contemporaneously	contemporaneously	ADV
ejpam-1847	50	9	correlated	correlate	VERB
ejpam-1847	50	10	with	with	ADP
ejpam-1847	50	11	each	each	DET
ejpam-1847	50	12	other	other	ADJ
ejpam-1847	50	13	but	but	CCONJ
ejpam-1847	50	14	are	be	AUX
ejpam-1847	50	15	uncorrelated	uncorrelate	VERB
ejpam-1847	50	16	with	with	ADP
ejpam-1847	50	17	their	their	PRON
ejpam-1847	50	18	own	own	ADJ
ejpam-1847	50	19	lagged	lag	VERB
ejpam-1847	50	20	values	value	NOUN
ejpam-1847	50	21	and	and	CCONJ
ejpam-1847	50	22	uncorrelated	uncorrelate	VERB
ejpam-1847	50	23	with	with	ADP
ejpam-1847	50	24	all	all	DET
ejpam-1847	50	25	other	other	ADJ
ejpam-1847	50	26	variables	variable	NOUN
ejpam-1847	50	27	involved	involve	VERB
ejpam-1847	50	28	in	in	ADP
ejpam-1847	50	29	the	the	DET
ejpam-1847	50	30	righthand	righthand	NOUN
ejpam-1847	50	31	side	side	NOUN
ejpam-1847	50	32	of	of	ADP
ejpam-1847	50	33	(	(	PUNCT
ejpam-1847	50	34	1	1	NUM
ejpam-1847	50	35	)	)	PUNCT
ejpam-1847	50	36	.	.	PUNCT
ejpam-1847	51	1	thus	thus	ADV
ejpam-1847	51	2	,	,	PUNCT
ejpam-1847	51	3	a	a	DET
ejpam-1847	51	4	var	var	NOUN
ejpam-1847	51	5	model	model	NOUN
ejpam-1847	51	6	of	of	ADP
ejpam-1847	51	7	order	order	NOUN
ejpam-1847	51	8	p	p	X
ejpam-1847	51	9	,	,	PUNCT
ejpam-1847	51	10	denoted	denote	VERB
ejpam-1847	51	11	as	as	ADP
ejpam-1847	51	12	var(p	var(p	PROPN
ejpam-1847	51	13	)	)	PUNCT
ejpam-1847	51	14	,	,	PUNCT
ejpam-1847	51	15	is	be	AUX
ejpam-1847	51	16	a	a	DET
ejpam-1847	51	17	system	system	NOUN
ejpam-1847	51	18	in	in	ADP
ejpam-1847	51	19	which	which	PRON
ejpam-1847	51	20	each	each	DET
ejpam-1847	51	21	outcome	outcome	NOUN
ejpam-1847	51	22	variable	variable	NOUN
ejpam-1847	51	23	is	be	AUX
ejpam-1847	51	24	regressed	regress	VERB
ejpam-1847	51	25	on	on	ADP
ejpam-1847	51	26	a	a	DET
ejpam-1847	51	27	constant	constant	ADJ
ejpam-1847	51	28	and	and	CCONJ
ejpam-1847	51	29	p	p	NOUN
ejpam-1847	51	30	of	of	ADP
ejpam-1847	51	31	its	its	PRON
ejpam-1847	51	32	own	own	ADJ
ejpam-1847	51	33	lagged	lag	VERB
ejpam-1847	51	34	values	value	NOUN
ejpam-1847	51	35	as	as	ADV
ejpam-1847	51	36	well	well	ADV
ejpam-1847	51	37	as	as	ADP
ejpam-1847	51	38	on	on	ADP
ejpam-1847	51	39	p	p	X
ejpam-1847	51	40	lagged	lag	VERB
ejpam-1847	51	41	values	value	NOUN
ejpam-1847	51	42	of	of	ADP
ejpam-1847	51	43	each	each	PRON
ejpam-1847	51	44	of	of	ADP
ejpam-1847	51	45	the	the	DET
ejpam-1847	51	46	other	other	ADJ
ejpam-1847	51	47	q−	q−	PROPN
ejpam-1847	51	48	1	1	NUM
ejpam-1847	51	49	outcome	outcome	NOUN
ejpam-1847	51	50	variables	variable	NOUN
ejpam-1847	51	51	.	.	PUNCT
ejpam-1847	52	1	a	a	DET
ejpam-1847	52	2	var(p	var(p	NOUN
ejpam-1847	52	3	)	)	PUNCT
ejpam-1847	52	4	is	be	AUX
ejpam-1847	52	5	covariance	covariance	NOUN
ejpam-1847	52	6	-	-	PUNCT
ejpam-1847	52	7	stationary	stationary	ADJ
ejpam-1847	52	8	as	as	ADV
ejpam-1847	52	9	long	long	ADV
ejpam-1847	52	10	as	as	ADP
ejpam-1847	52	11	all	all	DET
ejpam-1847	52	12	solutions	solution	NOUN
ejpam-1847	52	13	of	of	ADP
ejpam-1847	52	14	the	the	DET
ejpam-1847	52	15	characteristic	characteristic	ADJ
ejpam-1847	52	16	equation	equation	NOUN
ejpam-1847	52	17	|iq	|iq	ADP
ejpam-1847	52	18	−φ1z−φ2z2−	−φ1z−φ2z2−	NOUN
ejpam-1847	52	19	.	.	PUNCT
ejpam-1847	52	20	.	.	PUNCT
ejpam-1847	53	1	.−φpzp|=	.−φpzp|=	PRON
ejpam-1847	53	2	0	0	NUM
ejpam-1847	54	1	lie	lie	NOUN
ejpam-1847	54	2	outside	outside	ADP
ejpam-1847	54	3	the	the	DET
ejpam-1847	54	4	unit	unit	NOUN
ejpam-1847	54	5	circle	circle	NOUN
ejpam-1847	54	6	,	,	PUNCT
ejpam-1847	54	7	i.e.	i.e.	X
ejpam-1847	54	8	,	,	PUNCT
ejpam-1847	54	9	|z|	|z|	NOUN
ejpam-1847	54	10	>	>	X
ejpam-1847	54	11	1	1	NUM
ejpam-1847	54	12	.	.	PUNCT
ejpam-1847	55	1	apart	apart	ADV
ejpam-1847	55	2	from	from	ADP
ejpam-1847	55	3	stationary	stationary	ADJ
ejpam-1847	55	4	var	var	NOUN
ejpam-1847	55	5	processes	process	NOUN
ejpam-1847	55	6	there	there	PRON
ejpam-1847	55	7	are	be	VERB
ejpam-1847	55	8	also	also	ADV
ejpam-1847	55	9	non	non	ADJ
ejpam-1847	55	10	-	-	ADJ
ejpam-1847	55	11	stationary	stationary	ADJ
ejpam-1847	55	12	var	var	NOUN
ejpam-1847	55	13	processes	process	NOUN
ejpam-1847	55	14	.	.	PUNCT
ejpam-1847	56	1	if	if	SCONJ
ejpam-1847	56	2	each	each	DET
ejpam-1847	56	3	variable	variable	NOUN
ejpam-1847	56	4	in	in	ADP
ejpam-1847	56	5	a	a	DET
ejpam-1847	56	6	multi	multi	ADJ
ejpam-1847	56	7	-	-	ADJ
ejpam-1847	56	8	dimensional	dimensional	ADJ
ejpam-1847	56	9	process	process	NOUN
ejpam-1847	56	10	is	be	AUX
ejpam-1847	56	11	integrated	integrate	VERB
ejpam-1847	56	12	of	of	ADP
ejpam-1847	56	13	order	order	NOUN
ejpam-1847	56	14	d	d	NOUN
ejpam-1847	56	15	(	(	PUNCT
ejpam-1847	56	16	i(d	i(d	NOUN
ejpam-1847	56	17	)	)	PUNCT
ejpam-1847	56	18	)	)	PUNCT
ejpam-1847	56	19	,	,	PUNCT
ejpam-1847	56	20	and	and	CCONJ
ejpam-1847	56	21	the	the	DET
ejpam-1847	56	22	variables	variable	NOUN
ejpam-1847	56	23	are	be	AUX
ejpam-1847	56	24	cointegrated	cointegrate	VERB
ejpam-1847	56	25	,	,	PUNCT
ejpam-1847	56	26	we	we	PRON
ejpam-1847	56	27	can	can	AUX
ejpam-1847	56	28	still	still	ADV
ejpam-1847	56	29	establish	establish	VERB
ejpam-1847	56	30	a	a	DET
ejpam-1847	56	31	var	var	NOUN
ejpam-1847	56	32	model	model	NOUN
ejpam-1847	56	33	for	for	ADP
ejpam-1847	56	34	this	this	DET
ejpam-1847	56	35	multi	multi	ADJ
ejpam-1847	56	36	-	-	ADJ
ejpam-1847	56	37	dimensional	dimensional	ADJ
ejpam-1847	56	38	process	process	NOUN
ejpam-1847	56	39	.	.	PUNCT
ejpam-1847	57	1	the	the	DET
ejpam-1847	57	2	var	var	NOUN
ejpam-1847	57	3	processes	process	NOUN
ejpam-1847	57	4	consisting	consist	VERB
ejpam-1847	57	5	of	of	ADP
ejpam-1847	57	6	cointegrated	cointegrated	ADJ
ejpam-1847	57	7	variables	variable	NOUN
ejpam-1847	57	8	were	be	AUX
ejpam-1847	57	9	introduced	introduce	VERB
ejpam-1847	57	10	by	by	ADP
ejpam-1847	57	11	granger	granger	PROPN
ejpam-1847	58	1	[	[	X
ejpam-1847	58	2	14	14	NUM
ejpam-1847	58	3	]	]	PUNCT
ejpam-1847	58	4	and	and	CCONJ
ejpam-1847	58	5	engle	engle	PROPN
ejpam-1847	58	6	and	and	CCONJ
ejpam-1847	58	7	grange	grange	PROPN
ejpam-1847	58	8	[	[	X
ejpam-1847	58	9	12	12	NUM
ejpam-1847	58	10	]	]	PUNCT
ejpam-1847	58	11	.	.	PUNCT
ejpam-1847	59	1	estimation	estimation	NOUN
ejpam-1847	59	2	of	of	ADP
ejpam-1847	59	3	the	the	DET
ejpam-1847	59	4	cointegrated	cointegrate	VERB
ejpam-1847	59	5	var	var	NOUN
ejpam-1847	59	6	differs	differ	VERB
ejpam-1847	59	7	from	from	ADP
ejpam-1847	59	8	that	that	PRON
ejpam-1847	59	9	of	of	ADP
ejpam-1847	59	10	the	the	DET
ejpam-1847	59	11	stationary	stationary	ADJ
ejpam-1847	59	12	var	var	NOUN
ejpam-1847	59	13	.	.	PUNCT
ejpam-1847	60	1	in	in	ADP
ejpam-1847	60	2	this	this	DET
ejpam-1847	60	3	paper	paper	NOUN
ejpam-1847	60	4	,	,	PUNCT
ejpam-1847	60	5	we	we	PRON
ejpam-1847	60	6	will	will	AUX
ejpam-1847	60	7	focus	focus	VERB
ejpam-1847	60	8	on	on	ADP
ejpam-1847	60	9	the	the	DET
ejpam-1847	60	10	stationary	stationary	ADJ
ejpam-1847	60	11	var	var	NOUN
ejpam-1847	60	12	processes	process	NOUN
ejpam-1847	60	13	only	only	ADV
ejpam-1847	60	14	.	.	PUNCT
ejpam-1847	61	1	if	if	SCONJ
ejpam-1847	61	2	in	in	ADP
ejpam-1847	61	3	a	a	DET
ejpam-1847	61	4	var	var	NOUN
ejpam-1847	61	5	system	system	NOUN
ejpam-1847	61	6	each	each	DET
ejpam-1847	61	7	equation	equation	NOUN
ejpam-1847	61	8	has	have	VERB
ejpam-1847	61	9	the	the	DET
ejpam-1847	61	10	same	same	ADJ
ejpam-1847	61	11	explanatory	explanatory	ADJ
ejpam-1847	61	12	variables	variable	NOUN
ejpam-1847	61	13	,	,	PUNCT
ejpam-1847	61	14	namely	namely	ADV
ejpam-1847	61	15	,	,	PUNCT
ejpam-1847	61	16	a	a	DET
ejpam-1847	61	17	constant	constant	ADJ
ejpam-1847	61	18	term	term	NOUN
ejpam-1847	61	19	and	and	CCONJ
ejpam-1847	61	20	the	the	DET
ejpam-1847	61	21	same	same	ADJ
ejpam-1847	61	22	lags	lag	NOUN
ejpam-1847	61	23	of	of	ADP
ejpam-1847	61	24	all	all	DET
ejpam-1847	61	25	the	the	DET
ejpam-1847	61	26	variables	variable	NOUN
ejpam-1847	61	27	,	,	PUNCT
ejpam-1847	61	28	then	then	ADV
ejpam-1847	61	29	the	the	DET
ejpam-1847	61	30	system	system	NOUN
ejpam-1847	61	31	is	be	AUX
ejpam-1847	61	32	called	call	VERB
ejpam-1847	61	33	the	the	DET
ejpam-1847	61	34	unrestricted	unrestricted	ADJ
ejpam-1847	61	35	var	var	NOUN
ejpam-1847	61	36	.	.	PUNCT
ejpam-1847	62	1	the	the	DET
ejpam-1847	62	2	maximum	maximum	ADJ
ejpam-1847	62	3	likelihood	likelihood	NOUN
ejpam-1847	62	4	estimation	estimation	NOUN
ejpam-1847	62	5	(	(	PUNCT
ejpam-1847	62	6	mle	mle	PROPN
ejpam-1847	62	7	)	)	PUNCT
ejpam-1847	62	8	of	of	ADP
ejpam-1847	62	9	the	the	DET
ejpam-1847	62	10	unrestricted	unrestricted	ADJ
ejpam-1847	62	11	var	var	NOUN
ejpam-1847	62	12	can	can	AUX
ejpam-1847	62	13	be	be	AUX
ejpam-1847	62	14	found	find	VERB
ejpam-1847	62	15	by	by	ADP
ejpam-1847	62	16	q	q	PROPN
ejpam-1847	62	17	ordinary	ordinary	ADJ
ejpam-1847	62	18	least	least	ADJ
ejpam-1847	62	19	squares	square	NOUN
ejpam-1847	62	20	(	(	PUNCT
ejpam-1847	62	21	ols	ol	NOUN
ejpam-1847	62	22	)	)	PUNCT
ejpam-1847	62	23	estimation	estimation	NOUN
ejpam-1847	62	24	for	for	ADP
ejpam-1847	62	25	each	each	DET
ejpam-1847	62	26	equation	equation	NOUN
ejpam-1847	62	27	in	in	ADP
ejpam-1847	62	28	the	the	DET
ejpam-1847	62	29	system	system	NOUN
ejpam-1847	62	30	.	.	PUNCT
ejpam-1847	63	1	namely	namely	ADV
ejpam-1847	63	2	,	,	PUNCT
ejpam-1847	63	3	for	for	ADP
ejpam-1847	63	4	the	the	DET
ejpam-1847	63	5	unrestricted	unrestricted	ADJ
ejpam-1847	63	6	var	var	NOUN
ejpam-1847	63	7	model	model	NOUN
ejpam-1847	63	8	the	the	DET
ejpam-1847	63	9	mle	mle	PROPN
ejpam-1847	63	10	and	and	CCONJ
ejpam-1847	63	11	the	the	DET
ejpam-1847	63	12	ols	ol	NOUN
ejpam-1847	63	13	estimation	estimation	NOUN
ejpam-1847	63	14	have	have	VERB
ejpam-1847	63	15	the	the	DET
ejpam-1847	63	16	same	same	ADJ
ejpam-1847	63	17	result	result	NOUN
ejpam-1847	63	18	[	[	X
ejpam-1847	63	19	11	11	NUM
ejpam-1847	63	20	,	,	PUNCT
ejpam-1847	63	21	p270	p270	PROPN
ejpam-1847	63	22	]	]	PUNCT
ejpam-1847	63	23	.	.	PUNCT
ejpam-1847	64	1	as	as	SCONJ
ejpam-1847	64	2	there	there	PRON
ejpam-1847	64	3	are	be	VERB
ejpam-1847	64	4	pq2+q	pq2+q	ADJ
ejpam-1847	64	5	coefficients	coefficient	NOUN
ejpam-1847	64	6	plus	plus	CCONJ
ejpam-1847	64	7	σ	σ	NOUN
ejpam-1847	64	8	needing	need	VERB
ejpam-1847	64	9	to	to	PART
ejpam-1847	64	10	be	be	AUX
ejpam-1847	64	11	estimated	estimate	VERB
ejpam-1847	64	12	in	in	ADP
ejpam-1847	64	13	the	the	DET
ejpam-1847	64	14	unrestricted	unrestricted	ADJ
ejpam-1847	64	15	system	system	NOUN
ejpam-1847	64	16	,	,	PUNCT
ejpam-1847	64	17	it	it	PRON
ejpam-1847	64	18	follows	follow	VERB
ejpam-1847	64	19	that	that	SCONJ
ejpam-1847	64	20	unrestricted	unrestricted	ADJ
ejpam-1847	64	21	var	var	NOUN
ejpam-1847	64	22	models	model	NOUN
ejpam-1847	64	23	tend	tend	VERB
ejpam-1847	64	24	to	to	PART
ejpam-1847	64	25	suffer	suffer	VERB
ejpam-1847	64	26	from	from	ADP
ejpam-1847	64	27	“	"	PUNCT
ejpam-1847	64	28	overfitting	overfitting	NOUN
ejpam-1847	64	29	”	"	PUNCT
ejpam-1847	64	30	in	in	ADP
ejpam-1847	64	31	that	that	PRON
ejpam-1847	64	32	too	too	ADV
ejpam-1847	64	33	many	many	ADJ
ejpam-1847	64	34	free	free	ADJ
ejpam-1847	64	35	insignificant	insignificant	ADJ
ejpam-1847	64	36	parameters	parameter	NOUN
ejpam-1847	64	37	are	be	AUX
ejpam-1847	64	38	involved	involve	VERB
ejpam-1847	64	39	.	.	PUNCT
ejpam-1847	65	1	consequently	consequently	ADV
ejpam-1847	65	2	,	,	PUNCT
ejpam-1847	65	3	these	these	DET
ejpam-1847	65	4	models	model	NOUN
ejpam-1847	65	5	may	may	AUX
ejpam-1847	65	6	provide	provide	VERB
ejpam-1847	65	7	poor	poor	ADJ
ejpam-1847	65	8	outof	outof	NOUN
ejpam-1847	65	9	-	-	PUNCT
ejpam-1847	65	10	sample	sample	NOUN
ejpam-1847	65	11	forecasts	forecast	NOUN
ejpam-1847	65	12	,	,	PUNCT
ejpam-1847	65	13	even	even	ADV
ejpam-1847	65	14	though	though	SCONJ
ejpam-1847	65	15	the	the	DET
ejpam-1847	65	16	within	within	NOUN
ejpam-1847	65	17	-	-	PUNCT
ejpam-1847	65	18	sample	sample	NOUN
ejpam-1847	65	19	fitting	fitting	NOUN
ejpam-1847	65	20	is	be	AUX
ejpam-1847	65	21	good	good	ADJ
ejpam-1847	66	1	[	[	X
ejpam-1847	66	2	22	22	NUM
ejpam-1847	66	3	]	]	PUNCT
ejpam-1847	66	4	.	.	PUNCT
ejpam-1847	67	1	thus	thus	ADV
ejpam-1847	67	2	,	,	PUNCT
ejpam-1847	67	3	one	one	PRON
ejpam-1847	67	4	should	should	AUX
ejpam-1847	67	5	think	think	VERB
ejpam-1847	67	6	about	about	ADP
ejpam-1847	67	7	better	well	ADJ
ejpam-1847	67	8	ways	way	NOUN
ejpam-1847	67	9	to	to	PART
ejpam-1847	67	10	fit	fit	VERB
ejpam-1847	67	11	the	the	DET
ejpam-1847	67	12	system	system	NOUN
ejpam-1847	67	13	and	and	CCONJ
ejpam-1847	67	14	make	make	VERB
ejpam-1847	67	15	forecasting	forecasting	NOUN
ejpam-1847	67	16	.	.	PUNCT
ejpam-1847	68	1	it	it	PRON
ejpam-1847	68	2	is	be	AUX
ejpam-1847	68	3	reasonable	reasonable	ADJ
ejpam-1847	68	4	to	to	PART
ejpam-1847	68	5	assume	assume	VERB
ejpam-1847	68	6	that	that	SCONJ
ejpam-1847	68	7	some	some	PRON
ejpam-1847	68	8	of	of	ADP
ejpam-1847	68	9	the	the	DET
ejpam-1847	68	10	coefficients	coefficient	NOUN
ejpam-1847	68	11	in	in	ADP
ejpam-1847	68	12	the	the	DET
ejpam-1847	68	13	var	var	NOUN
ejpam-1847	68	14	system	system	NOUN
ejpam-1847	68	15	actually	actually	ADV
ejpam-1847	68	16	equal	equal	ADJ
ejpam-1847	68	17	zero	zero	NUM
ejpam-1847	68	18	or	or	CCONJ
ejpam-1847	68	19	be	be	AUX
ejpam-1847	68	20	zero	zero	NUM
ejpam-1847	68	21	restricted	restrict	VERB
ejpam-1847	68	22	as	as	ADP
ejpam-1847	68	23	estimates	estimate	NOUN
ejpam-1847	68	24	of	of	ADP
ejpam-1847	68	25	many	many	ADJ
ejpam-1847	68	26	of	of	ADP
ejpam-1847	68	27	them	they	PRON
ejpam-1847	68	28	are	be	AUX
ejpam-1847	68	29	insignificant	insignificant	ADJ
ejpam-1847	68	30	.	.	PUNCT
ejpam-1847	69	1	the	the	DET
ejpam-1847	69	2	zero	zero	NUM
ejpam-1847	69	3	restriction	restriction	NOUN
ejpam-1847	69	4	of	of	ADP
ejpam-1847	69	5	some	some	PRON
ejpam-1847	69	6	of	of	ADP
ejpam-1847	69	7	the	the	DET
ejpam-1847	69	8	coefficients	coefficient	NOUN
ejpam-1847	69	9	reduces	reduce	VERB
ejpam-1847	69	10	the	the	DET
ejpam-1847	69	11	number	number	NOUN
ejpam-1847	69	12	of	of	ADP
ejpam-1847	69	13	coefficients	coefficient	NOUN
ejpam-1847	69	14	to	to	PART
ejpam-1847	69	15	be	be	AUX
ejpam-1847	69	16	estimated	estimate	VERB
ejpam-1847	69	17	and	and	CCONJ
ejpam-1847	69	18	improves	improve	VERB
ejpam-1847	69	19	the	the	DET
ejpam-1847	69	20	estimation	estimation	NOUN
ejpam-1847	69	21	precision	precision	NOUN
ejpam-1847	69	22	.	.	PUNCT
ejpam-1847	70	1	a	a	DET
ejpam-1847	70	2	zero	zero	NUM
ejpam-1847	70	3	restricted	restrict	VERB
ejpam-1847	70	4	var	var	NOUN
ejpam-1847	70	5	model	model	NOUN
ejpam-1847	70	6	is	be	AUX
ejpam-1847	70	7	also	also	ADV
ejpam-1847	70	8	called	call	VERB
ejpam-1847	70	9	a	a	DET
ejpam-1847	70	10	subset	subset	ADJ
ejpam-1847	70	11	var	var	NOUN
ejpam-1847	70	12	model	model	NOUN
ejpam-1847	70	13	.	.	PUNCT
ejpam-1847	71	1	for	for	ADP
ejpam-1847	71	2	subset	subset	ADJ
ejpam-1847	71	3	var	var	NOUN
ejpam-1847	71	4	models	model	NOUN
ejpam-1847	71	5	,	,	PUNCT
ejpam-1847	71	6	the	the	DET
ejpam-1847	71	7	ols	ol	NOUN
ejpam-1847	71	8	estimates	estimate	NOUN
ejpam-1847	71	9	are	be	AUX
ejpam-1847	71	10	no	no	ADV
ejpam-1847	71	11	longer	long	ADV
ejpam-1847	71	12	consistent	consistent	ADJ
ejpam-1847	71	13	and	and	CCONJ
ejpam-1847	71	14	efficient	efficient	ADJ
ejpam-1847	71	15	as	as	ADP
ejpam-1847	71	16	the	the	DET
ejpam-1847	71	17	dependence	dependence	NOUN
ejpam-1847	71	18	structure	structure	NOUN
ejpam-1847	71	19	in	in	ADP
ejpam-1847	71	20	each	each	PRON
ejpam-1847	71	21	of	of	ADP
ejpam-1847	71	22	the	the	DET
ejpam-1847	71	23	q	q	PROPN
ejpam-1847	71	24	equations	equation	NOUN
ejpam-1847	71	25	is	be	AUX
ejpam-1847	71	26	not	not	PART
ejpam-1847	71	27	the	the	DET
ejpam-1847	71	28	same	same	ADJ
ejpam-1847	71	29	any	any	PRON
ejpam-1847	71	30	more	more	ADV
ejpam-1847	71	31	[	[	X
ejpam-1847	71	32	10	10	NUM
ejpam-1847	71	33	,	,	PUNCT
ejpam-1847	71	34	p301	p301	PROPN
ejpam-1847	71	35	]	]	PUNCT
ejpam-1847	71	36	.	.	PUNCT
ejpam-1847	72	1	parameter	parameter	PROPN
ejpam-1847	72	2	estimation	estimation	NOUN
ejpam-1847	72	3	was	be	AUX
ejpam-1847	72	4	considered	consider	VERB
ejpam-1847	72	5	for	for	ADP
ejpam-1847	72	6	a	a	DET
ejpam-1847	72	7	model	model	NOUN
ejpam-1847	72	8	similar	similar	ADJ
ejpam-1847	72	9	to	to	ADP
ejpam-1847	72	10	subset	subset	VERB
ejpam-1847	72	11	var	var	NOUN
ejpam-1847	72	12	model	model	NOUN
ejpam-1847	72	13	by	by	ADP
ejpam-1847	72	14	zellner	zellner	NOUN
ejpam-1847	73	1	[	[	X
ejpam-1847	73	2	33	33	NUM
ejpam-1847	73	3	]	]	PUNCT
ejpam-1847	73	4	,	,	PUNCT
ejpam-1847	73	5	who	who	PRON
ejpam-1847	73	6	referred	refer	VERB
ejpam-1847	73	7	to	to	ADP
ejpam-1847	73	8	it	it	PRON
ejpam-1847	73	9	as	as	ADP
ejpam-1847	73	10	the	the	DET
ejpam-1847	73	11	model	model	NOUN
ejpam-1847	73	12	of	of	ADP
ejpam-1847	73	13	seemingly	seemingly	ADV
ejpam-1847	73	14	unrelated	unrelated	ADJ
ejpam-1847	73	15	regression	regression	NOUN
ejpam-1847	73	16	(	(	PUNCT
ejpam-1847	73	17	sur	sur	NOUN
ejpam-1847	73	18	)	)	PUNCT
ejpam-1847	73	19	equations	equation	NOUN
ejpam-1847	73	20	.	.	PUNCT
ejpam-1847	74	1	the	the	DET
ejpam-1847	74	2	mle	mle	PROPN
ejpam-1847	74	3	of	of	ADP
ejpam-1847	74	4	sur	sur	PROPN
ejpam-1847	74	5	are	be	AUX
ejpam-1847	74	6	efficient	efficient	ADJ
ejpam-1847	74	7	and	and	CCONJ
ejpam-1847	74	8	can	can	AUX
ejpam-1847	74	9	be	be	AUX
ejpam-1847	74	10	adapted	adapt	VERB
ejpam-1847	74	11	for	for	ADP
ejpam-1847	74	12	estimating	estimate	VERB
ejpam-1847	74	13	the	the	DET
ejpam-1847	74	14	restricted	restricted	ADJ
ejpam-1847	74	15	var	var	NOUN
ejpam-1847	74	16	[	[	X
ejpam-1847	74	17	11	11	NUM
ejpam-1847	74	18	,	,	PUNCT
ejpam-1847	74	19	section	section	NOUN
ejpam-1847	74	20	5.6	5.6	NUM
ejpam-1847	74	21	]	]	PUNCT
ejpam-1847	74	22	.	.	PUNCT
ejpam-1847	75	1	x.zhao	x.zhao	PROPN
ejpam-1847	75	2	,	,	PUNCT
ejpam-1847	75	3	g.	g.	PROPN
ejpam-1847	75	4	qian	qian	PROPN
ejpam-1847	75	5	/	/	SYM
ejpam-1847	75	6	eur	eur	PROPN
ejpam-1847	75	7	.	.	PUNCT
ejpam-1847	76	1	j.	j.	PROPN
ejpam-1847	76	2	pure	pure	PROPN
ejpam-1847	76	3	appl	appl	PROPN
ejpam-1847	76	4	.	.	PROPN
ejpam-1847	76	5	math	math	PROPN
ejpam-1847	76	6	,	,	PUNCT
ejpam-1847	76	7	7	7	NUM
ejpam-1847	76	8	(	(	PUNCT
ejpam-1847	76	9	2014	2014	NUM
ejpam-1847	76	10	)	)	PUNCT
ejpam-1847	76	11	,	,	PUNCT
ejpam-1847	76	12	1	1	NUM
ejpam-1847	76	13	-	-	SYM
ejpam-1847	76	14	21	21	NUM
ejpam-1847	76	15	4	4	NUM
ejpam-1847	76	16	3	3	NUM
ejpam-1847	76	17	.	.	PUNCT
ejpam-1847	76	18	var	var	PROPN
ejpam-1847	76	19	model	model	PROPN
ejpam-1847	76	20	selection	selection	NOUN
ejpam-1847	76	21	since	since	SCONJ
ejpam-1847	76	22	the	the	DET
ejpam-1847	76	23	original	original	ADJ
ejpam-1847	76	24	proposal	proposal	NOUN
ejpam-1847	76	25	of	of	ADP
ejpam-1847	76	26	sims	sim	NOUN
ejpam-1847	76	27	[	[	X
ejpam-1847	76	28	32	32	NUM
ejpam-1847	76	29	]	]	PUNCT
ejpam-1847	76	30	,	,	PUNCT
ejpam-1847	76	31	var	var	NOUN
ejpam-1847	76	32	models	model	NOUN
ejpam-1847	76	33	have	have	AUX
ejpam-1847	76	34	achieved	achieve	VERB
ejpam-1847	76	35	widespread	widespread	ADJ
ejpam-1847	76	36	successes	success	NOUN
ejpam-1847	76	37	and	and	CCONJ
ejpam-1847	76	38	have	have	AUX
ejpam-1847	76	39	proved	prove	VERB
ejpam-1847	76	40	to	to	PART
ejpam-1847	76	41	be	be	AUX
ejpam-1847	76	42	very	very	ADV
ejpam-1847	76	43	useful	useful	ADJ
ejpam-1847	76	44	and	and	CCONJ
ejpam-1847	76	45	flexible	flexible	ADJ
ejpam-1847	76	46	for	for	ADP
ejpam-1847	76	47	statistical	statistical	ADJ
ejpam-1847	76	48	analysis	analysis	NOUN
ejpam-1847	76	49	.	.	PUNCT
ejpam-1847	77	1	in	in	ADP
ejpam-1847	77	2	the	the	DET
ejpam-1847	77	3	process	process	NOUN
ejpam-1847	77	4	of	of	ADP
ejpam-1847	77	5	applying	apply	VERB
ejpam-1847	77	6	var	var	NOUN
ejpam-1847	77	7	models	model	NOUN
ejpam-1847	77	8	,	,	PUNCT
ejpam-1847	77	9	one	one	PRON
ejpam-1847	77	10	is	be	AUX
ejpam-1847	77	11	faced	face	VERB
ejpam-1847	77	12	with	with	ADP
ejpam-1847	77	13	the	the	DET
ejpam-1847	77	14	task	task	NOUN
ejpam-1847	77	15	of	of	ADP
ejpam-1847	77	16	model	model	NOUN
ejpam-1847	77	17	identification	identification	NOUN
ejpam-1847	77	18	—	—	PUNCT
ejpam-1847	77	19	searching	search	VERB
ejpam-1847	77	20	for	for	ADP
ejpam-1847	77	21	good	good	ADJ
ejpam-1847	77	22	and	and	CCONJ
ejpam-1847	77	23	ultimately	ultimately	ADV
ejpam-1847	77	24	the	the	DET
ejpam-1847	77	25	best	good	ADJ
ejpam-1847	77	26	var	var	NOUN
ejpam-1847	77	27	model	model	NOUN
ejpam-1847	77	28	for	for	ADP
ejpam-1847	77	29	characterizing	characterize	VERB
ejpam-1847	77	30	the	the	DET
ejpam-1847	77	31	multivariate	multivariate	NOUN
ejpam-1847	77	32	time	time	NOUN
ejpam-1847	77	33	series	series	PROPN
ejpam-1847	77	34	under	under	ADP
ejpam-1847	77	35	investigation	investigation	NOUN
ejpam-1847	77	36	.	.	PUNCT
ejpam-1847	78	1	this	this	DET
ejpam-1847	78	2	task	task	NOUN
ejpam-1847	78	3	is	be	AUX
ejpam-1847	78	4	the	the	DET
ejpam-1847	78	5	so	so	ADV
ejpam-1847	78	6	-	-	PUNCT
ejpam-1847	78	7	called	call	VERB
ejpam-1847	78	8	model	model	NOUN
ejpam-1847	78	9	selection	selection	NOUN
ejpam-1847	78	10	.	.	PUNCT
ejpam-1847	79	1	two	two	NUM
ejpam-1847	79	2	approaches	approach	NOUN
ejpam-1847	79	3	are	be	AUX
ejpam-1847	79	4	available	available	ADJ
ejpam-1847	79	5	for	for	ADP
ejpam-1847	79	6	var	var	NOUN
ejpam-1847	79	7	model	model	NOUN
ejpam-1847	79	8	selection	selection	NOUN
ejpam-1847	79	9	:	:	PUNCT
ejpam-1847	79	10	one	one	NUM
ejpam-1847	79	11	is	be	AUX
ejpam-1847	79	12	based	base	VERB
ejpam-1847	79	13	on	on	ADP
ejpam-1847	79	14	the	the	DET
ejpam-1847	79	15	likelihood	likelihood	NOUN
ejpam-1847	79	16	ratio	ratio	NOUN
ejpam-1847	79	17	(	(	PUNCT
ejpam-1847	79	18	lr	lr	NOUN
ejpam-1847	79	19	)	)	PUNCT
ejpam-1847	79	20	tests	test	NOUN
ejpam-1847	79	21	,	,	PUNCT
ejpam-1847	79	22	and	and	CCONJ
ejpam-1847	79	23	the	the	DET
ejpam-1847	79	24	other	other	ADJ
ejpam-1847	79	25	is	be	AUX
ejpam-1847	79	26	based	base	VERB
ejpam-1847	79	27	on	on	ADP
ejpam-1847	79	28	information	information	NOUN
ejpam-1847	79	29	-	-	PUNCT
ejpam-1847	79	30	theoretic	theoretic	NOUN
ejpam-1847	79	31	criteria	criterion	NOUN
ejpam-1847	79	32	.	.	PUNCT
ejpam-1847	80	1	3.1	3.1	NUM
ejpam-1847	80	2	.	.	PUNCT
ejpam-1847	80	3	lr	lr	NOUN
ejpam-1847	80	4	test	test	NOUN
ejpam-1847	80	5	for	for	ADP
ejpam-1847	80	6	order	order	NOUN
ejpam-1847	80	7	determination	determination	NOUN
ejpam-1847	80	8	of	of	ADP
ejpam-1847	80	9	var	var	NOUN
ejpam-1847	80	10	suppose	suppose	VERB
ejpam-1847	80	11	we	we	PRON
ejpam-1847	80	12	want	want	VERB
ejpam-1847	80	13	to	to	PART
ejpam-1847	80	14	test	test	VERB
ejpam-1847	80	15	the	the	DET
ejpam-1847	80	16	null	null	ADJ
ejpam-1847	80	17	hypothesis	hypothesis	NOUN
ejpam-1847	80	18	that	that	PRON
ejpam-1847	80	19	the	the	DET
ejpam-1847	80	20	observed	observed	ADJ
ejpam-1847	80	21	data	datum	NOUN
ejpam-1847	80	22	are	be	AUX
ejpam-1847	80	23	generated	generate	VERB
ejpam-1847	80	24	from	from	ADP
ejpam-1847	80	25	a	a	DET
ejpam-1847	80	26	var	var	NOUN
ejpam-1847	80	27	model	model	NOUN
ejpam-1847	80	28	with	with	ADP
ejpam-1847	80	29	order	order	NOUN
ejpam-1847	80	30	p0	p0	NOUN
ejpam-1847	80	31	against	against	ADP
ejpam-1847	80	32	the	the	DET
ejpam-1847	80	33	alternative	alternative	ADJ
ejpam-1847	80	34	hypothesis	hypothesis	NOUN
ejpam-1847	80	35	that	that	PRON
ejpam-1847	80	36	the	the	DET
ejpam-1847	80	37	order	order	NOUN
ejpam-1847	80	38	is	be	AUX
ejpam-1847	80	39	p1	p1	PROPN
ejpam-1847	80	40	>	>	PUNCT
ejpam-1847	80	41	p0	p0	PROPN
ejpam-1847	80	42	.	.	PUNCT
ejpam-1847	81	1	let	let	VERB
ejpam-1847	81	2	σ̂0	σ̂0	PRON
ejpam-1847	81	3	and	and	CCONJ
ejpam-1847	81	4	σ̂1	σ̂1	NOUN
ejpam-1847	81	5	be	be	AUX
ejpam-1847	81	6	the	the	DET
ejpam-1847	81	7	variance	variance	NOUN
ejpam-1847	81	8	-	-	PUNCT
ejpam-1847	81	9	covariance	covariance	NOUN
ejpam-1847	81	10	matrix	matrix	NOUN
ejpam-1847	81	11	under	under	ADP
ejpam-1847	81	12	the	the	DET
ejpam-1847	81	13	null	null	ADJ
ejpam-1847	81	14	and	and	CCONJ
ejpam-1847	81	15	alternative	alternative	ADJ
ejpam-1847	81	16	hypotheses	hypothesis	NOUN
ejpam-1847	81	17	respectively	respectively	ADV
ejpam-1847	81	18	.	.	PUNCT
ejpam-1847	82	1	the	the	DET
ejpam-1847	82	2	following	follow	VERB
ejpam-1847	82	3	test	test	NOUN
ejpam-1847	82	4	statistic	statistic	NOUN
ejpam-1847	82	5	can	can	AUX
ejpam-1847	82	6	be	be	AUX
ejpam-1847	82	7	formed	form	VERB
ejpam-1847	82	8	from	from	ADP
ejpam-1847	82	9	the	the	DET
ejpam-1847	82	10	likelihood	likelihood	NOUN
ejpam-1847	82	11	ratio	ratio	NOUN
ejpam-1847	82	12	:	:	PUNCT
ejpam-1847	82	13	2(log	2(log	NUM
ejpam-1847	82	14	l∗1−	l∗1−	NOUN
ejpam-1847	82	15	log	log	NOUN
ejpam-1847	82	16	l∗0	l∗0	NOUN
ejpam-1847	82	17	)	)	PUNCT
ejpam-1847	83	1	=	=	SYM
ejpam-1847	83	2	n{log	n{log	NOUN
ejpam-1847	83	3	|σ̂−1	|σ̂−1	VERB
ejpam-1847	83	4	1	1	NUM
ejpam-1847	83	5	|	|	ADV
ejpam-1847	83	6	−	−	PROPN
ejpam-1847	83	7	log	log	NOUN
ejpam-1847	83	8	|σ̂−1	|σ̂−1	NOUN
ejpam-1847	83	9	0	0	PUNCT
ejpam-1847	83	10	|	|	ADV
ejpam-1847	83	11	}	}	PUNCT
ejpam-1847	83	12	.	.	PUNCT
ejpam-1847	84	1	under	under	ADP
ejpam-1847	84	2	the	the	DET
ejpam-1847	84	3	null	null	ADJ
ejpam-1847	84	4	hypothesis	hypothesis	NOUN
ejpam-1847	84	5	,	,	PUNCT
ejpam-1847	84	6	this	this	DET
ejpam-1847	84	7	statistic	statistic	NOUN
ejpam-1847	84	8	has	have	VERB
ejpam-1847	84	9	asymptotically	asymptotically	ADV
ejpam-1847	84	10	a	a	DET
ejpam-1847	84	11	χ2	χ2	ADJ
ejpam-1847	84	12	distribution	distribution	NOUN
ejpam-1847	84	13	with	with	ADP
ejpam-1847	84	14	degrees	degree	NOUN
ejpam-1847	84	15	of	of	ADP
ejpam-1847	84	16	freedom	freedom	NOUN
ejpam-1847	84	17	equal	equal	ADJ
ejpam-1847	84	18	to	to	ADP
ejpam-1847	84	19	the	the	DET
ejpam-1847	84	20	number	number	NOUN
ejpam-1847	84	21	of	of	ADP
ejpam-1847	84	22	restrictions	restriction	NOUN
ejpam-1847	84	23	imposed	impose	VERB
ejpam-1847	84	24	under	under	ADP
ejpam-1847	84	25	h0	h0	PROPN
ejpam-1847	84	26	[	[	X
ejpam-1847	84	27	16	16	NUM
ejpam-1847	84	28	,	,	PUNCT
ejpam-1847	84	29	p297	p297	PROPN
ejpam-1847	84	30	]	]	PUNCT
ejpam-1847	84	31	.	.	PUNCT
ejpam-1847	85	1	lütkepohl	lütkepohl	X
ejpam-1847	86	1	[	[	X
ejpam-1847	86	2	23	23	NUM
ejpam-1847	86	3	,	,	PUNCT
ejpam-1847	86	4	pp143	pp143	NOUN
ejpam-1847	86	5	-	-	SYM
ejpam-1847	86	6	144	144	NUM
ejpam-1847	86	7	]	]	PUNCT
ejpam-1847	86	8	proposed	propose	VERB
ejpam-1847	86	9	a	a	DET
ejpam-1847	86	10	scheme	scheme	NOUN
ejpam-1847	86	11	for	for	ADP
ejpam-1847	86	12	determining	determine	VERB
ejpam-1847	86	13	the	the	DET
ejpam-1847	86	14	order	order	NOUN
ejpam-1847	86	15	of	of	ADP
ejpam-1847	86	16	var	var	NOUN
ejpam-1847	86	17	model	model	NOUN
ejpam-1847	86	18	based	base	VERB
ejpam-1847	86	19	on	on	ADP
ejpam-1847	86	20	the	the	DET
ejpam-1847	86	21	above	above	ADJ
ejpam-1847	86	22	lr	lr	NOUN
ejpam-1847	86	23	test	test	NOUN
ejpam-1847	86	24	statistic	statistic	NOUN
ejpam-1847	86	25	.	.	PUNCT
ejpam-1847	87	1	assume	assume	VERB
ejpam-1847	87	2	that	that	SCONJ
ejpam-1847	87	3	m	m	NOUN
ejpam-1847	87	4	is	be	AUX
ejpam-1847	87	5	known	know	VERB
ejpam-1847	87	6	to	to	PART
ejpam-1847	87	7	be	be	AUX
ejpam-1847	87	8	an	an	DET
ejpam-1847	87	9	upper	upper	ADJ
ejpam-1847	87	10	bound	bind	VERB
ejpam-1847	87	11	for	for	ADP
ejpam-1847	87	12	the	the	DET
ejpam-1847	87	13	var	var	NOUN
ejpam-1847	87	14	order	order	NOUN
ejpam-1847	87	15	,	,	PUNCT
ejpam-1847	87	16	the	the	DET
ejpam-1847	87	17	following	follow	VERB
ejpam-1847	87	18	sequence	sequence	NOUN
ejpam-1847	87	19	of	of	ADP
ejpam-1847	87	20	null	null	ADJ
ejpam-1847	87	21	and	and	CCONJ
ejpam-1847	87	22	alternative	alternative	ADJ
ejpam-1847	87	23	hypotheses	hypothesis	NOUN
ejpam-1847	87	24	may	may	AUX
ejpam-1847	87	25	be	be	AUX
ejpam-1847	87	26	tested	test	VERB
ejpam-1847	87	27	sequentially	sequentially	ADV
ejpam-1847	87	28	using	use	VERB
ejpam-1847	87	29	the	the	DET
ejpam-1847	87	30	lr	lr	NOUN
ejpam-1847	87	31	test	test	NOUN
ejpam-1847	87	32	:	:	PUNCT
ejpam-1847	87	33	h(1)0	h(1)0	PROPN
ejpam-1847	87	34	:	:	PUNCT
ejpam-1847	87	35	φm	φm	ADP
ejpam-1847	87	36	=	=	SYM
ejpam-1847	87	37	0	0	NUM
ejpam-1847	87	38	against	against	ADP
ejpam-1847	87	39	h(1)1	h(1)1	PROPN
ejpam-1847	87	40	:	:	PUNCT
ejpam-1847	87	41	φm	φm	PROPN
ejpam-1847	87	42	6=	6=	ADP
ejpam-1847	87	43	0	0	NUM
ejpam-1847	88	1	h(2)0	h(2)0	NOUN
ejpam-1847	88	2	:	:	PUNCT
ejpam-1847	88	3	φm−1	φm−1	PROPN
ejpam-1847	88	4	=	=	PUNCT
ejpam-1847	88	5	0	0	PROPN
ejpam-1847	88	6	against	against	ADP
ejpam-1847	88	7	h(2)1	h(2)1	PROPN
ejpam-1847	88	8	:	:	PUNCT
ejpam-1847	88	9	φm−1	φm−1	PROPN
ejpam-1847	88	10	6=	6=	PRON
ejpam-1847	88	11	0|φm	0|φm	NUM
ejpam-1847	88	12	=	=	SYM
ejpam-1847	88	13	0	0	NUM
ejpam-1847	88	14	...	...	PUNCT
ejpam-1847	88	15	h(i)0	h(i)0	PROPN
ejpam-1847	88	16	:	:	PUNCT
ejpam-1847	88	17	φm−i+1	φm−i+1	NOUN
ejpam-1847	88	18	=	=	SYM
ejpam-1847	88	19	0	0	NUM
ejpam-1847	88	20	against	against	ADP
ejpam-1847	88	21	h(i)1	h(i)1	PROPN
ejpam-1847	88	22	:	:	PUNCT
ejpam-1847	88	23	φm−i+1	φm−i+1	NOUN
ejpam-1847	88	24	6=	6=	PRON
ejpam-1847	88	25	0|φm	0|φm	NUM
ejpam-1847	88	26	=	=	PUNCT
ejpam-1847	88	27	.	.	PUNCT
ejpam-1847	88	28	.	.	PUNCT
ejpam-1847	89	1	.=	.=	VERB
ejpam-1847	90	1	φm−i+2	φm−i+2	ADJ
ejpam-1847	91	1	=	=	PUNCT
ejpam-1847	91	2	0	0	X
ejpam-1847	91	3	...	...	PUNCT
ejpam-1847	92	1	h(m)0	h(m)0	NOUN
ejpam-1847	92	2	:	:	PUNCT
ejpam-1847	92	3	φ1	φ1	PROPN
ejpam-1847	92	4	=	=	SYM
ejpam-1847	92	5	0	0	NUM
ejpam-1847	92	6	against	against	ADP
ejpam-1847	92	7	h(m)1	h(m)1	PRON
ejpam-1847	92	8	:	:	PUNCT
ejpam-1847	92	9	φ1	φ1	PROPN
ejpam-1847	92	10	6=	6=	PRON
ejpam-1847	92	11	0|φm	0|φm	NUM
ejpam-1847	92	12	=	=	PUNCT
ejpam-1847	92	13	.	.	PUNCT
ejpam-1847	92	14	.	.	PUNCT
ejpam-1847	93	1	.=	.=	VERB
ejpam-1847	94	1	φ2	φ2	NOUN
ejpam-1847	95	1	=	=	PUNCT
ejpam-1847	95	2	0	0	NUM
ejpam-1847	95	3	in	in	ADP
ejpam-1847	95	4	this	this	DET
ejpam-1847	95	5	scheme	scheme	NOUN
ejpam-1847	95	6	each	each	DET
ejpam-1847	95	7	null	null	ADJ
ejpam-1847	95	8	hypothesis	hypothesis	NOUN
ejpam-1847	95	9	is	be	AUX
ejpam-1847	95	10	tested	test	VERB
ejpam-1847	95	11	conditional	conditional	ADJ
ejpam-1847	95	12	on	on	ADP
ejpam-1847	95	13	the	the	DET
ejpam-1847	95	14	previous	previous	ADJ
ejpam-1847	95	15	ones	one	NOUN
ejpam-1847	95	16	being	be	AUX
ejpam-1847	95	17	accepted	accept	VERB
ejpam-1847	95	18	to	to	PART
ejpam-1847	95	19	be	be	AUX
ejpam-1847	95	20	true	true	ADJ
ejpam-1847	95	21	.	.	PUNCT
ejpam-1847	96	1	the	the	DET
ejpam-1847	96	2	procedure	procedure	NOUN
ejpam-1847	96	3	terminates	terminate	VERB
ejpam-1847	96	4	and	and	CCONJ
ejpam-1847	96	5	the	the	DET
ejpam-1847	96	6	var	var	NOUN
ejpam-1847	96	7	order	order	NOUN
ejpam-1847	96	8	is	be	AUX
ejpam-1847	96	9	chosen	choose	VERB
ejpam-1847	96	10	accordingly	accordingly	ADV
ejpam-1847	96	11	once	once	ADV
ejpam-1847	96	12	a	a	DET
ejpam-1847	96	13	null	null	ADJ
ejpam-1847	96	14	hypothesis	hypothesis	NOUN
ejpam-1847	96	15	is	be	AUX
ejpam-1847	96	16	firstly	firstly	ADV
ejpam-1847	96	17	rejected	reject	VERB
ejpam-1847	96	18	.	.	PUNCT
ejpam-1847	97	1	that	that	PRON
ejpam-1847	97	2	is	be	AUX
ejpam-1847	97	3	,	,	PUNCT
ejpam-1847	97	4	if	if	SCONJ
ejpam-1847	97	5	h(i)0	h(i)0	PROPN
ejpam-1847	97	6	is	be	AUX
ejpam-1847	97	7	rejected	reject	VERB
ejpam-1847	97	8	for	for	ADP
ejpam-1847	97	9	the	the	DET
ejpam-1847	97	10	first	first	ADJ
ejpam-1847	97	11	time	time	NOUN
ejpam-1847	97	12	,	,	PUNCT
ejpam-1847	97	13	p̂	p̂	X
ejpam-1847	98	1	=	=	SYM
ejpam-1847	98	2	m	m	VERB
ejpam-1847	98	3	−	−	NOUN
ejpam-1847	99	1	i	i	PRON
ejpam-1847	99	2	+	+	NOUN
ejpam-1847	99	3	1	1	NUM
ejpam-1847	99	4	will	will	AUX
ejpam-1847	99	5	be	be	AUX
ejpam-1847	99	6	chosen	choose	VERB
ejpam-1847	99	7	as	as	ADP
ejpam-1847	99	8	the	the	DET
ejpam-1847	99	9	estimate	estimate	NOUN
ejpam-1847	99	10	of	of	ADP
ejpam-1847	99	11	the	the	DET
ejpam-1847	99	12	autoregressive	autoregressive	ADJ
ejpam-1847	99	13	order	order	NOUN
ejpam-1847	99	14	.	.	PUNCT
ejpam-1847	100	1	3.2	3.2	NUM
ejpam-1847	100	2	.	.	PUNCT
ejpam-1847	100	3	var	var	PROPN
ejpam-1847	100	4	model	model	PROPN
ejpam-1847	100	5	selection	selection	NOUN
ejpam-1847	100	6	criteria	criterion	NOUN
ejpam-1847	100	7	the	the	DET
ejpam-1847	100	8	scheme	scheme	NOUN
ejpam-1847	100	9	proposed	propose	VERB
ejpam-1847	100	10	by	by	ADP
ejpam-1847	100	11	lütkepohl	lütkepohl	NOUN
ejpam-1847	100	12	can	can	AUX
ejpam-1847	100	13	only	only	ADV
ejpam-1847	100	14	be	be	AUX
ejpam-1847	100	15	used	use	VERB
ejpam-1847	100	16	to	to	PART
ejpam-1847	100	17	determine	determine	VERB
ejpam-1847	100	18	an	an	DET
ejpam-1847	100	19	upper	upper	ADJ
ejpam-1847	100	20	bound	bind	VERB
ejpam-1847	100	21	of	of	ADP
ejpam-1847	100	22	the	the	DET
ejpam-1847	100	23	order	order	NOUN
ejpam-1847	100	24	for	for	SCONJ
ejpam-1847	100	25	the	the	DET
ejpam-1847	100	26	var	var	PROPN
ejpam-1847	100	27	model	model	NOUN
ejpam-1847	100	28	selected	select	VERB
ejpam-1847	100	29	,	,	PUNCT
ejpam-1847	100	30	but	but	CCONJ
ejpam-1847	100	31	is	be	AUX
ejpam-1847	100	32	not	not	PART
ejpam-1847	100	33	able	able	ADJ
ejpam-1847	100	34	to	to	PART
ejpam-1847	100	35	identify	identify	VERB
ejpam-1847	100	36	all	all	DET
ejpam-1847	100	37	the	the	DET
ejpam-1847	100	38	zero	zero	NUM
ejpam-1847	100	39	restricted	restrict	VERB
ejpam-1847	100	40	coefficients	coefficient	NOUN
ejpam-1847	100	41	x.zhao	x.zhao	NUM
ejpam-1847	100	42	,	,	PUNCT
ejpam-1847	100	43	g.	g.	PROPN
ejpam-1847	100	44	qian	qian	PROPN
ejpam-1847	100	45	/	/	SYM
ejpam-1847	100	46	eur	eur	PROPN
ejpam-1847	100	47	.	.	PUNCT
ejpam-1847	101	1	j.	j.	PROPN
ejpam-1847	101	2	pure	pure	PROPN
ejpam-1847	101	3	appl	appl	PROPN
ejpam-1847	101	4	.	.	PROPN
ejpam-1847	101	5	math	math	PROPN
ejpam-1847	101	6	,	,	PUNCT
ejpam-1847	101	7	7	7	NUM
ejpam-1847	101	8	(	(	PUNCT
ejpam-1847	101	9	2014	2014	NUM
ejpam-1847	101	10	)	)	PUNCT
ejpam-1847	101	11	,	,	PUNCT
ejpam-1847	101	12	1	1	NUM
ejpam-1847	101	13	-	-	SYM
ejpam-1847	101	14	21	21	NUM
ejpam-1847	101	15	5	5	NUM
ejpam-1847	101	16	involved	involve	VERB
ejpam-1847	101	17	.	.	PUNCT
ejpam-1847	102	1	further	far	ADV
ejpam-1847	102	2	,	,	PUNCT
ejpam-1847	102	3	conducting	conduct	VERB
ejpam-1847	102	4	a	a	DET
ejpam-1847	102	5	sequence	sequence	NOUN
ejpam-1847	102	6	of	of	ADP
ejpam-1847	102	7	hypothesis	hypothesis	NOUN
ejpam-1847	102	8	tests	test	NOUN
ejpam-1847	102	9	runs	run	VERB
ejpam-1847	102	10	the	the	DET
ejpam-1847	102	11	risk	risk	NOUN
ejpam-1847	102	12	of	of	ADP
ejpam-1847	102	13	high	high	ADJ
ejpam-1847	102	14	type	type	NOUN
ejpam-1847	102	15	i	i	PRON
ejpam-1847	102	16	error	error	NOUN
ejpam-1847	102	17	[	[	X
ejpam-1847	102	18	23	23	NUM
ejpam-1847	102	19	,	,	PUNCT
ejpam-1847	102	20	p144	p144	PROPN
ejpam-1847	102	21	]	]	PUNCT
ejpam-1847	102	22	.	.	PUNCT
ejpam-1847	103	1	therefore	therefore	ADV
ejpam-1847	103	2	,	,	PUNCT
ejpam-1847	103	3	in	in	ADP
ejpam-1847	103	4	subset	subset	ADJ
ejpam-1847	103	5	var	var	NOUN
ejpam-1847	103	6	modelling	model	VERB
ejpam-1847	103	7	it	it	PRON
ejpam-1847	103	8	is	be	AUX
ejpam-1847	103	9	common	common	ADJ
ejpam-1847	103	10	to	to	PART
ejpam-1847	103	11	employ	employ	VERB
ejpam-1847	103	12	a	a	DET
ejpam-1847	103	13	model	model	NOUN
ejpam-1847	103	14	selection	selection	NOUN
ejpam-1847	103	15	criterion	criterion	NOUN
ejpam-1847	103	16	to	to	PART
ejpam-1847	103	17	conduct	conduct	VERB
ejpam-1847	103	18	model	model	NOUN
ejpam-1847	103	19	identification	identification	NOUN
ejpam-1847	103	20	.	.	PUNCT
ejpam-1847	104	1	some	some	DET
ejpam-1847	104	2	general	general	ADJ
ejpam-1847	104	3	criteria	criterion	NOUN
ejpam-1847	104	4	for	for	ADP
ejpam-1847	104	5	subset	subset	ADJ
ejpam-1847	104	6	var	var	PROPN
ejpam-1847	104	7	model	model	PROPN
ejpam-1847	104	8	selection	selection	NOUN
ejpam-1847	104	9	,	,	PUNCT
ejpam-1847	104	10	which	which	PRON
ejpam-1847	104	11	can	can	AUX
ejpam-1847	104	12	be	be	AUX
ejpam-1847	104	13	used	use	VERB
ejpam-1847	104	14	for	for	ADP
ejpam-1847	104	15	coefficients	coefficient	NOUN
ejpam-1847	104	16	selection	selection	NOUN
ejpam-1847	104	17	,	,	PUNCT
ejpam-1847	104	18	are	be	AUX
ejpam-1847	104	19	the	the	DET
ejpam-1847	104	20	information	information	NOUN
ejpam-1847	104	21	criterion	criterion	NOUN
ejpam-1847	104	22	of	of	ADP
ejpam-1847	104	23	akaike	akaike	ADJ
ejpam-1847	104	24	[	[	X
ejpam-1847	104	25	1	1	NUM
ejpam-1847	104	26	]	]	PUNCT
ejpam-1847	104	27	,	,	PUNCT
ejpam-1847	104	28	known	know	VERB
ejpam-1847	104	29	as	as	ADP
ejpam-1847	104	30	aic	aic	PROPN
ejpam-1847	104	31	;	;	PUNCT
ejpam-1847	104	32	hurvich	hurvich	PROPN
ejpam-1847	104	33	and	and	CCONJ
ejpam-1847	104	34	tsai	tsai	PROPN
ejpam-1847	104	35	’s	’s	PART
ejpam-1847	104	36	aicc	aicc	NOUN
ejpam-1847	105	1	[	[	X
ejpam-1847	105	2	20	20	NUM
ejpam-1847	105	3	]	]	PUNCT
ejpam-1847	105	4	;	;	PUNCT
ejpam-1847	105	5	bayesian	bayesian	NOUN
ejpam-1847	105	6	information	information	NOUN
ejpam-1847	105	7	criterion	criterion	NOUN
ejpam-1847	105	8	by	by	ADP
ejpam-1847	105	9	akaike	akaike	ADJ
ejpam-1847	105	10	[	[	X
ejpam-1847	105	11	2	2	NUM
ejpam-1847	105	12	]	]	PUNCT
ejpam-1847	105	13	and	and	CCONJ
ejpam-1847	105	14	schwarz	schwarz	NOUN
ejpam-1847	105	15	[	[	X
ejpam-1847	105	16	31	31	NUM
ejpam-1847	105	17	]	]	PUNCT
ejpam-1847	105	18	,	,	PUNCT
ejpam-1847	105	19	known	know	VERB
ejpam-1847	105	20	as	as	ADP
ejpam-1847	105	21	bic	bic	PROPN
ejpam-1847	105	22	;	;	PUNCT
ejpam-1847	105	23	hannan	hannan	PROPN
ejpam-1847	105	24	and	and	CCONJ
ejpam-1847	105	25	quinn	quinn	PROPN
ejpam-1847	105	26	’s	’s	PART
ejpam-1847	105	27	hq	hq	NOUN
ejpam-1847	106	1	[	[	X
ejpam-1847	106	2	18	18	NUM
ejpam-1847	106	3	]	]	X
ejpam-1847	106	4	;	;	PUNCT
ejpam-1847	106	5	and	and	CCONJ
ejpam-1847	106	6	bearse	bearse	ADJ
ejpam-1847	106	7	and	and	CCONJ
ejpam-1847	106	8	bozdogan	bozdogan	PROPN
ejpam-1847	106	9	’s	’s	PART
ejpam-1847	106	10	icomp	icomp	NOUN
ejpam-1847	106	11	[	[	X
ejpam-1847	106	12	4	4	NUM
ejpam-1847	106	13	]	]	PUNCT
ejpam-1847	106	14	.	.	PUNCT
ejpam-1847	107	1	generally	generally	ADV
ejpam-1847	107	2	speaking	speak	VERB
ejpam-1847	107	3	,	,	PUNCT
ejpam-1847	107	4	in	in	ADP
ejpam-1847	107	5	any	any	DET
ejpam-1847	107	6	such	such	ADJ
ejpam-1847	107	7	approach	approach	NOUN
ejpam-1847	107	8	the	the	DET
ejpam-1847	107	9	optimum	optimum	ADJ
ejpam-1847	107	10	subset	subset	NOUN
ejpam-1847	107	11	var	var	NOUN
ejpam-1847	107	12	model	model	NOUN
ejpam-1847	107	13	is	be	AUX
ejpam-1847	107	14	chosen	choose	VERB
ejpam-1847	107	15	as	as	ADP
ejpam-1847	107	16	the	the	DET
ejpam-1847	107	17	one	one	NOUN
ejpam-1847	107	18	minimizing	minimize	VERB
ejpam-1847	107	19	the	the	DET
ejpam-1847	107	20	corresponding	corresponding	ADJ
ejpam-1847	107	21	criterion	criterion	NOUN
ejpam-1847	107	22	.	.	PUNCT
ejpam-1847	108	1	these	these	DET
ejpam-1847	108	2	criteria	criterion	NOUN
ejpam-1847	108	3	for	for	ADP
ejpam-1847	108	4	subset	subset	ADJ
ejpam-1847	108	5	var	var	PROPN
ejpam-1847	108	6	model	model	PROPN
ejpam-1847	108	7	selection	selection	NOUN
ejpam-1847	108	8	are	be	AUX
ejpam-1847	108	9	shown	show	VERB
ejpam-1847	108	10	to	to	PART
ejpam-1847	108	11	be	be	AUX
ejpam-1847	108	12	aic=	aic=	PROPN
ejpam-1847	108	13	log	log	VERB
ejpam-1847	108	14	|σ̂|+	|σ̂|+	PROPN
ejpam-1847	108	15	2n	2n	NUM
ejpam-1847	108	16	/	/	SYM
ejpam-1847	108	17	n	n	CCONJ
ejpam-1847	108	18	,	,	PUNCT
ejpam-1847	108	19	aicc=	aicc=	NUM
ejpam-1847	108	20	log	log	NOUN
ejpam-1847	108	21	|σ̂|+	|σ̂|+	PROPN
ejpam-1847	108	22	2n/(n−	2n/(n−	NUM
ejpam-1847	108	23	q−	q−	PROPN
ejpam-1847	108	24	nq−	nq−	NUM
ejpam-1847	108	25	1	1	NUM
ejpam-1847	108	26	)	)	PUNCT
ejpam-1847	108	27	,	,	PUNCT
ejpam-1847	108	28	bic=	bic=	PROPN
ejpam-1847	108	29	log	log	VERB
ejpam-1847	108	30	|σ̂|+	|σ̂|+	PROPN
ejpam-1847	108	31	n	n	NUM
ejpam-1847	108	32	log	log	VERB
ejpam-1847	108	33	n	n	CCONJ
ejpam-1847	108	34	/	/	SYM
ejpam-1847	108	35	n	n	CCONJ
ejpam-1847	108	36	hq=	hq=	NOUN
ejpam-1847	108	37	log	log	VERB
ejpam-1847	108	38	|σ̂|+	|σ̂|+	PROPN
ejpam-1847	108	39	n	n	CCONJ
ejpam-1847	108	40	log	log	VERB
ejpam-1847	108	41	log	log	NOUN
ejpam-1847	108	42	n	n	CCONJ
ejpam-1847	108	43	/	/	SYM
ejpam-1847	108	44	n	n	CCONJ
ejpam-1847	108	45	,	,	PUNCT
ejpam-1847	108	46	where	where	SCONJ
ejpam-1847	108	47	|σ̂|	|σ̂|	PROPN
ejpam-1847	108	48	=	=	SYM
ejpam-1847	108	49	det((1	det((1	PROPN
ejpam-1847	108	50	/	/	SYM
ejpam-1847	108	51	n	n	CCONJ
ejpam-1847	108	52	)	)	PUNCT
ejpam-1847	108	53	∑n	∑n	PROPN
ejpam-1847	108	54	t=1	t=1	SYM
ejpam-1847	108	55	êt	êt	NOUN
ejpam-1847	108	56	ê	ê	PROPN
ejpam-1847	108	57	′	′	NUM
ejpam-1847	108	58	t	t	PROPN
ejpam-1847	108	59	)	)	PUNCT
ejpam-1847	108	60	is	be	AUX
ejpam-1847	108	61	the	the	DET
ejpam-1847	108	62	determinant	determinant	NOUN
ejpam-1847	108	63	of	of	ADP
ejpam-1847	108	64	the	the	DET
ejpam-1847	108	65	residual	residual	ADJ
ejpam-1847	108	66	covariance	covariance	NOUN
ejpam-1847	108	67	,	,	PUNCT
ejpam-1847	108	68	n	n	PRON
ejpam-1847	108	69	is	be	AUX
ejpam-1847	108	70	the	the	DET
ejpam-1847	108	71	total	total	ADJ
ejpam-1847	108	72	number	number	NOUN
ejpam-1847	108	73	of	of	ADP
ejpam-1847	108	74	coefficients	coefficient	NOUN
ejpam-1847	108	75	estimated	estimate	VERB
ejpam-1847	108	76	in	in	ADP
ejpam-1847	108	77	all	all	DET
ejpam-1847	108	78	equations	equation	NOUN
ejpam-1847	108	79	,	,	PUNCT
ejpam-1847	108	80	and	and	CCONJ
ejpam-1847	108	81	n	n	PRON
ejpam-1847	108	82	is	be	AUX
ejpam-1847	108	83	the	the	DET
ejpam-1847	108	84	length	length	NOUN
ejpam-1847	108	85	of	of	ADP
ejpam-1847	108	86	the	the	DET
ejpam-1847	108	87	time	time	NOUN
ejpam-1847	108	88	series	series	NOUN
ejpam-1847	108	89	involved	involve	VERB
ejpam-1847	108	90	in	in	ADP
ejpam-1847	108	91	the	the	DET
ejpam-1847	108	92	estimation	estimation	NOUN
ejpam-1847	108	93	.	.	PUNCT
ejpam-1847	109	1	detailed	detailed	ADJ
ejpam-1847	109	2	formulas	formula	NOUN
ejpam-1847	109	3	of	of	ADP
ejpam-1847	109	4	icomp	icomp	NOUN
ejpam-1847	109	5	for	for	ADP
ejpam-1847	109	6	var	var	NOUN
ejpam-1847	109	7	model	model	NOUN
ejpam-1847	109	8	selection	selection	NOUN
ejpam-1847	109	9	can	can	AUX
ejpam-1847	109	10	be	be	AUX
ejpam-1847	109	11	found	find	VERB
ejpam-1847	109	12	in	in	ADP
ejpam-1847	109	13	howe	howe	NOUN
ejpam-1847	109	14	and	and	CCONJ
ejpam-1847	109	15	bozdogan	bozdogan	NOUN
ejpam-1847	109	16	[	[	X
ejpam-1847	109	17	19	19	NUM
ejpam-1847	109	18	,	,	PUNCT
ejpam-1847	109	19	section	section	NOUN
ejpam-1847	109	20	4	4	NUM
ejpam-1847	109	21	]	]	PUNCT
ejpam-1847	109	22	.	.	PUNCT
ejpam-1847	110	1	the	the	DET
ejpam-1847	110	2	different	different	ADJ
ejpam-1847	110	3	criteria	criterion	NOUN
ejpam-1847	110	4	mentioned	mention	VERB
ejpam-1847	110	5	above	above	ADV
ejpam-1847	110	6	may	may	AUX
ejpam-1847	110	7	have	have	VERB
ejpam-1847	110	8	their	their	PRON
ejpam-1847	110	9	own	own	ADJ
ejpam-1847	110	10	specific	specific	ADJ
ejpam-1847	110	11	characteristics	characteristic	NOUN
ejpam-1847	110	12	.	.	PUNCT
ejpam-1847	111	1	the	the	DET
ejpam-1847	111	2	differences	difference	NOUN
ejpam-1847	111	3	among	among	ADP
ejpam-1847	111	4	these	these	DET
ejpam-1847	111	5	criteria	criterion	NOUN
ejpam-1847	111	6	are	be	AUX
ejpam-1847	111	7	not	not	PART
ejpam-1847	111	8	the	the	DET
ejpam-1847	111	9	focus	focus	NOUN
ejpam-1847	111	10	and	and	CCONJ
ejpam-1847	111	11	will	will	AUX
ejpam-1847	111	12	not	not	PART
ejpam-1847	111	13	be	be	AUX
ejpam-1847	111	14	investigated	investigate	VERB
ejpam-1847	111	15	in	in	ADP
ejpam-1847	111	16	this	this	DET
ejpam-1847	111	17	paper	paper	NOUN
ejpam-1847	111	18	.	.	PUNCT
ejpam-1847	112	1	what	what	PRON
ejpam-1847	112	2	we	we	PRON
ejpam-1847	112	3	will	will	AUX
ejpam-1847	112	4	do	do	AUX
ejpam-1847	112	5	is	be	AUX
ejpam-1847	112	6	to	to	PART
ejpam-1847	112	7	utilize	utilize	VERB
ejpam-1847	112	8	one	one	NUM
ejpam-1847	112	9	such	such	ADJ
ejpam-1847	112	10	criterion	criterion	NOUN
ejpam-1847	112	11	to	to	PART
ejpam-1847	112	12	form	form	VERB
ejpam-1847	112	13	a	a	DET
ejpam-1847	112	14	var	var	NOUN
ejpam-1847	112	15	model	model	NOUN
ejpam-1847	112	16	selection	selection	NOUN
ejpam-1847	112	17	procedure	procedure	NOUN
ejpam-1847	112	18	so	so	SCONJ
ejpam-1847	112	19	as	as	SCONJ
ejpam-1847	112	20	to	to	PART
ejpam-1847	112	21	find	find	VERB
ejpam-1847	112	22	the	the	DET
ejpam-1847	112	23	model	model	NOUN
ejpam-1847	112	24	having	have	VERB
ejpam-1847	112	25	the	the	DET
ejpam-1847	112	26	lowest	low	ADJ
ejpam-1847	112	27	criterion	criterion	NOUN
ejpam-1847	112	28	value	value	NOUN
ejpam-1847	112	29	among	among	ADP
ejpam-1847	112	30	potentially	potentially	ADV
ejpam-1847	112	31	very	very	ADV
ejpam-1847	112	32	many	many	ADJ
ejpam-1847	112	33	candidate	candidate	NOUN
ejpam-1847	112	34	models	model	NOUN
ejpam-1847	112	35	.	.	PUNCT
ejpam-1847	113	1	3.3	3.3	NUM
ejpam-1847	113	2	.	.	PUNCT
ejpam-1847	114	1	a	a	DET
ejpam-1847	114	2	difficulty	difficulty	NOUN
ejpam-1847	114	3	in	in	ADP
ejpam-1847	114	4	var	var	NOUN
ejpam-1847	114	5	model	model	NOUN
ejpam-1847	114	6	selection	selection	NOUN
ejpam-1847	114	7	as	as	SCONJ
ejpam-1847	114	8	the	the	DET
ejpam-1847	114	9	subset	subset	NOUN
ejpam-1847	114	10	var	var	NOUN
ejpam-1847	114	11	models	model	NOUN
ejpam-1847	114	12	can	can	AUX
ejpam-1847	114	13	reduce	reduce	VERB
ejpam-1847	114	14	the	the	DET
ejpam-1847	114	15	number	number	NOUN
ejpam-1847	114	16	of	of	ADP
ejpam-1847	114	17	coefficients	coefficient	NOUN
ejpam-1847	114	18	to	to	PART
ejpam-1847	114	19	be	be	AUX
ejpam-1847	114	20	estimated	estimate	VERB
ejpam-1847	114	21	and	and	CCONJ
ejpam-1847	114	22	improve	improve	VERB
ejpam-1847	114	23	the	the	DET
ejpam-1847	114	24	estimation	estimation	NOUN
ejpam-1847	114	25	precision	precision	NOUN
ejpam-1847	114	26	,	,	PUNCT
ejpam-1847	114	27	in	in	ADP
ejpam-1847	114	28	this	this	DET
ejpam-1847	114	29	paper	paper	NOUN
ejpam-1847	114	30	,	,	PUNCT
ejpam-1847	114	31	we	we	PRON
ejpam-1847	114	32	will	will	AUX
ejpam-1847	114	33	focus	focus	VERB
ejpam-1847	114	34	on	on	ADP
ejpam-1847	114	35	the	the	DET
ejpam-1847	114	36	model	model	NOUN
ejpam-1847	114	37	selection	selection	NOUN
ejpam-1847	114	38	of	of	ADP
ejpam-1847	114	39	the	the	DET
ejpam-1847	114	40	subset	subset	ADJ
ejpam-1847	114	41	var	var	NOUN
ejpam-1847	114	42	models	model	NOUN
ejpam-1847	114	43	.	.	PUNCT
ejpam-1847	115	1	suppose	suppose	VERB
ejpam-1847	115	2	it	it	PRON
ejpam-1847	115	3	is	be	AUX
ejpam-1847	115	4	known	know	VERB
ejpam-1847	115	5	a	a	DET
ejpam-1847	115	6	priori	priori	ADV
ejpam-1847	115	7	that	that	SCONJ
ejpam-1847	115	8	the	the	DET
ejpam-1847	115	9	order	order	NOUN
ejpam-1847	115	10	of	of	ADP
ejpam-1847	115	11	the	the	DET
ejpam-1847	115	12	process	process	NOUN
ejpam-1847	115	13	is	be	AUX
ejpam-1847	115	14	not	not	PART
ejpam-1847	115	15	greater	great	ADJ
ejpam-1847	115	16	than	than	ADP
ejpam-1847	115	17	some	some	DET
ejpam-1847	115	18	number	number	NOUN
ejpam-1847	115	19	p	p	NOUN
ejpam-1847	115	20	,	,	PUNCT
ejpam-1847	115	21	and	and	CCONJ
ejpam-1847	115	22	we	we	PRON
ejpam-1847	115	23	want	want	VERB
ejpam-1847	115	24	to	to	PART
ejpam-1847	115	25	know	know	VERB
ejpam-1847	115	26	what	what	PRON
ejpam-1847	115	27	coefficients	coefficient	NOUN
ejpam-1847	115	28	involved	involve	VERB
ejpam-1847	115	29	in	in	ADP
ejpam-1847	115	30	var(p	var(p	PROPN
ejpam-1847	115	31	)	)	PUNCT
ejpam-1847	115	32	are	be	AUX
ejpam-1847	115	33	actually	actually	ADV
ejpam-1847	115	34	equal	equal	ADJ
ejpam-1847	115	35	to	to	ADP
ejpam-1847	115	36	zero	zero	NUM
ejpam-1847	115	37	.	.	PUNCT
ejpam-1847	116	1	ideally	ideally	ADV
ejpam-1847	116	2	we	we	PRON
ejpam-1847	116	3	should	should	AUX
ejpam-1847	116	4	fit	fit	VERB
ejpam-1847	116	5	all	all	DET
ejpam-1847	116	6	possible	possible	ADJ
ejpam-1847	116	7	subset	subset	VERB
ejpam-1847	116	8	var	var	NOUN
ejpam-1847	116	9	models	model	NOUN
ejpam-1847	116	10	and	and	CCONJ
ejpam-1847	116	11	select	select	VERB
ejpam-1847	116	12	the	the	DET
ejpam-1847	116	13	one	one	NOUN
ejpam-1847	116	14	that	that	PRON
ejpam-1847	116	15	optimizes	optimize	VERB
ejpam-1847	116	16	the	the	DET
ejpam-1847	116	17	criterion	criterion	NOUN
ejpam-1847	116	18	chosen	choose	VERB
ejpam-1847	116	19	.	.	PUNCT
ejpam-1847	117	1	with	with	ADP
ejpam-1847	117	2	regard	regard	NOUN
ejpam-1847	117	3	to	to	ADP
ejpam-1847	117	4	this	this	DET
ejpam-1847	117	5	approach	approach	NOUN
ejpam-1847	117	6	,	,	PUNCT
ejpam-1847	117	7	model	model	NOUN
ejpam-1847	117	8	selection	selection	NOUN
ejpam-1847	117	9	of	of	ADP
ejpam-1847	117	10	subset	subset	ADJ
ejpam-1847	117	11	var	var	NOUN
ejpam-1847	117	12	models	model	NOUN
ejpam-1847	117	13	is	be	AUX
ejpam-1847	117	14	much	much	ADV
ejpam-1847	117	15	more	more	ADV
ejpam-1847	117	16	complicated	complicated	ADJ
ejpam-1847	117	17	than	than	ADP
ejpam-1847	117	18	order	order	NOUN
ejpam-1847	117	19	selection	selection	NOUN
ejpam-1847	117	20	of	of	ADP
ejpam-1847	117	21	unrestricted	unrestricted	ADJ
ejpam-1847	117	22	var	var	NOUN
ejpam-1847	117	23	models	model	NOUN
ejpam-1847	117	24	,	,	PUNCT
ejpam-1847	117	25	because	because	SCONJ
ejpam-1847	117	26	for	for	ADP
ejpam-1847	117	27	subset	subset	ADJ
ejpam-1847	117	28	selection	selection	NOUN
ejpam-1847	117	29	one	one	NUM
ejpam-1847	117	30	selects	select	NOUN
ejpam-1847	117	31	not	not	PART
ejpam-1847	117	32	only	only	ADV
ejpam-1847	117	33	an	an	DET
ejpam-1847	117	34	appropriate	appropriate	ADJ
ejpam-1847	117	35	value	value	NOUN
ejpam-1847	117	36	for	for	ADP
ejpam-1847	117	37	the	the	DET
ejpam-1847	117	38	autoregressive	autoregressive	ADJ
ejpam-1847	117	39	order	order	NOUN
ejpam-1847	117	40	but	but	CCONJ
ejpam-1847	117	41	also	also	ADV
ejpam-1847	117	42	a	a	DET
ejpam-1847	117	43	subset	subset	NOUN
ejpam-1847	117	44	of	of	ADP
ejpam-1847	117	45	the	the	DET
ejpam-1847	117	46	coefficients	coefficient	NOUN
ejpam-1847	117	47	deemed	deem	VERB
ejpam-1847	117	48	not	not	PART
ejpam-1847	117	49	equal	equal	ADJ
ejpam-1847	117	50	zero	zero	NUM
ejpam-1847	117	51	.	.	PUNCT
ejpam-1847	118	1	for	for	ADP
ejpam-1847	118	2	a	a	DET
ejpam-1847	118	3	var	var	NOUN
ejpam-1847	118	4	model	model	NOUN
ejpam-1847	118	5	with	with	ADP
ejpam-1847	118	6	q	q	PROPN
ejpam-1847	118	7	outcome	outcome	NOUN
ejpam-1847	118	8	variables	variable	NOUN
ejpam-1847	118	9	,	,	PUNCT
ejpam-1847	118	10	if	if	SCONJ
ejpam-1847	118	11	the	the	DET
ejpam-1847	118	12	maximum	maximum	ADJ
ejpam-1847	118	13	possible	possible	ADJ
ejpam-1847	118	14	order	order	NOUN
ejpam-1847	118	15	is	be	AUX
ejpam-1847	118	16	p	p	NOUN
ejpam-1847	118	17	,	,	PUNCT
ejpam-1847	118	18	then	then	ADV
ejpam-1847	118	19	in	in	ADP
ejpam-1847	118	20	total	total	ADJ
ejpam-1847	118	21	pq2	pq2	NOUN
ejpam-1847	118	22	+	+	CCONJ
ejpam-1847	118	23	q	q	ADJ
ejpam-1847	118	24	coefficients	coefficient	NOUN
ejpam-1847	118	25	including	include	VERB
ejpam-1847	118	26	the	the	DET
ejpam-1847	118	27	intercept	intercept	NOUN
ejpam-1847	118	28	constant	constant	ADJ
ejpam-1847	118	29	terms	term	NOUN
ejpam-1847	118	30	need	need	VERB
ejpam-1847	118	31	to	to	PART
ejpam-1847	118	32	be	be	AUX
ejpam-1847	118	33	decided	decide	VERB
ejpam-1847	118	34	on	on	ADP
ejpam-1847	118	35	whether	whether	SCONJ
ejpam-1847	118	36	they	they	PRON
ejpam-1847	118	37	equal	equal	VERB
ejpam-1847	118	38	zero	zero	NUM
ejpam-1847	118	39	or	or	CCONJ
ejpam-1847	118	40	not	not	PART
ejpam-1847	118	41	;	;	PUNCT
ejpam-1847	118	42	in	in	ADP
ejpam-1847	118	43	other	other	ADJ
ejpam-1847	118	44	words	word	NOUN
ejpam-1847	118	45	,	,	PUNCT
ejpam-1847	118	46	there	there	PRON
ejpam-1847	118	47	are	be	VERB
ejpam-1847	118	48	2pq2+q	2pq2+q	NUM
ejpam-1847	118	49	candidate	candidate	NOUN
ejpam-1847	118	50	subset	subset	NOUN
ejpam-1847	118	51	var	var	NOUN
ejpam-1847	118	52	models	model	NOUN
ejpam-1847	118	53	available	available	ADJ
ejpam-1847	118	54	for	for	ADP
ejpam-1847	118	55	selection	selection	NOUN
ejpam-1847	118	56	.	.	PUNCT
ejpam-1847	119	1	by	by	ADP
ejpam-1847	119	2	comparison	comparison	NOUN
ejpam-1847	119	3	,	,	PUNCT
ejpam-1847	119	4	there	there	PRON
ejpam-1847	119	5	are	be	VERB
ejpam-1847	119	6	only	only	ADV
ejpam-1847	119	7	p	p	VERB
ejpam-1847	119	8	unrestricted	unrestricted	ADJ
ejpam-1847	119	9	candidate	candidate	NOUN
ejpam-1847	119	10	models	model	NOUN
ejpam-1847	119	11	for	for	ADP
ejpam-1847	119	12	selection	selection	NOUN
ejpam-1847	119	13	.	.	PUNCT
ejpam-1847	120	1	furthermore	furthermore	ADV
ejpam-1847	120	2	,	,	PUNCT
ejpam-1847	120	3	the	the	DET
ejpam-1847	120	4	number	number	NOUN
ejpam-1847	120	5	of	of	ADP
ejpam-1847	120	6	coefficients	coefficient	NOUN
ejpam-1847	120	7	involved	involve	VERB
ejpam-1847	120	8	in	in	ADP
ejpam-1847	120	9	the	the	DET
ejpam-1847	120	10	subset	subset	NOUN
ejpam-1847	120	11	var	var	NOUN
ejpam-1847	120	12	models	model	NOUN
ejpam-1847	120	13	increases	increase	VERB
ejpam-1847	120	14	very	very	ADV
ejpam-1847	120	15	rapidly	rapidly	ADV
ejpam-1847	120	16	with	with	ADP
ejpam-1847	120	17	the	the	DET
ejpam-1847	120	18	autoregressive	autoregressive	ADJ
ejpam-1847	120	19	order	order	NOUN
ejpam-1847	120	20	.	.	PUNCT
ejpam-1847	121	1	that	that	PRON
ejpam-1847	121	2	is	be	AUX
ejpam-1847	121	3	,	,	PUNCT
ejpam-1847	121	4	if	if	SCONJ
ejpam-1847	121	5	the	the	DET
ejpam-1847	121	6	order	order	NOUN
ejpam-1847	121	7	increases	increase	VERB
ejpam-1847	121	8	by	by	ADP
ejpam-1847	121	9	one	one	NUM
ejpam-1847	121	10	,	,	PUNCT
ejpam-1847	121	11	the	the	DET
ejpam-1847	121	12	number	number	NOUN
ejpam-1847	121	13	of	of	ADP
ejpam-1847	121	14	coefficients	coefficient	NOUN
ejpam-1847	121	15	in	in	ADP
ejpam-1847	121	16	the	the	DET
ejpam-1847	121	17	model	model	NOUN
ejpam-1847	121	18	will	will	AUX
ejpam-1847	121	19	increase	increase	VERB
ejpam-1847	121	20	by	by	ADP
ejpam-1847	121	21	q2	q2	NOUN
ejpam-1847	121	22	,	,	PUNCT
ejpam-1847	121	23	which	which	PRON
ejpam-1847	121	24	means	mean	VERB
ejpam-1847	121	25	the	the	DET
ejpam-1847	121	26	number	number	NOUN
ejpam-1847	121	27	of	of	ADP
ejpam-1847	121	28	candidate	candidate	NOUN
ejpam-1847	121	29	models	model	NOUN
ejpam-1847	121	30	will	will	AUX
ejpam-1847	121	31	be	be	AUX
ejpam-1847	121	32	2q2	2q2	NUM
ejpam-1847	121	33	times	time	NOUN
ejpam-1847	121	34	as	as	ADP
ejpam-1847	121	35	before	before	ADV
ejpam-1847	121	36	.	.	PUNCT
ejpam-1847	122	1	as	as	ADP
ejpam-1847	122	2	x.zhao	x.zhao	PROPN
ejpam-1847	122	3	,	,	PUNCT
ejpam-1847	122	4	g.	g.	PROPN
ejpam-1847	122	5	qian	qian	PROPN
ejpam-1847	122	6	/	/	SYM
ejpam-1847	122	7	eur	eur	PROPN
ejpam-1847	122	8	.	.	PUNCT
ejpam-1847	123	1	j.	j.	PROPN
ejpam-1847	123	2	pure	pure	PROPN
ejpam-1847	123	3	appl	appl	PROPN
ejpam-1847	123	4	.	.	PROPN
ejpam-1847	123	5	math	math	PROPN
ejpam-1847	123	6	,	,	PUNCT
ejpam-1847	123	7	7	7	NUM
ejpam-1847	123	8	(	(	PUNCT
ejpam-1847	123	9	2014	2014	NUM
ejpam-1847	123	10	)	)	PUNCT
ejpam-1847	123	11	,	,	PUNCT
ejpam-1847	123	12	1	1	NUM
ejpam-1847	123	13	-	-	SYM
ejpam-1847	123	14	21	21	NUM
ejpam-1847	123	15	6	6	NUM
ejpam-1847	123	16	an	an	DET
ejpam-1847	123	17	example	example	NOUN
ejpam-1847	123	18	,	,	PUNCT
ejpam-1847	123	19	when	when	SCONJ
ejpam-1847	123	20	q	q	PROPN
ejpam-1847	123	21	=	=	SYM
ejpam-1847	123	22	3	3	NUM
ejpam-1847	123	23	and	and	CCONJ
ejpam-1847	123	24	p	p	NOUN
ejpam-1847	123	25	=	=	NOUN
ejpam-1847	123	26	3	3	NUM
ejpam-1847	123	27	,	,	PUNCT
ejpam-1847	123	28	there	there	PRON
ejpam-1847	123	29	would	would	AUX
ejpam-1847	123	30	be	be	AUX
ejpam-1847	123	31	3×	3×	NUM
ejpam-1847	123	32	32	32	NUM
ejpam-1847	123	33	+	+	CCONJ
ejpam-1847	123	34	3	3	NUM
ejpam-1847	123	35	=	=	SYM
ejpam-1847	123	36	30	30	NUM
ejpam-1847	123	37	coefficients	coefficient	NOUN
ejpam-1847	123	38	which	which	PRON
ejpam-1847	123	39	need	need	VERB
ejpam-1847	123	40	to	to	PART
ejpam-1847	123	41	be	be	AUX
ejpam-1847	123	42	determined	determine	VERB
ejpam-1847	123	43	as	as	ADP
ejpam-1847	123	44	equal	equal	ADJ
ejpam-1847	123	45	zero	zero	NUM
ejpam-1847	123	46	or	or	CCONJ
ejpam-1847	123	47	not	not	PART
ejpam-1847	123	48	,	,	PUNCT
ejpam-1847	123	49	and	and	CCONJ
ejpam-1847	123	50	the	the	DET
ejpam-1847	123	51	number	number	NOUN
ejpam-1847	123	52	of	of	ADP
ejpam-1847	123	53	candidate	candidate	NOUN
ejpam-1847	123	54	models	model	NOUN
ejpam-1847	123	55	would	would	AUX
ejpam-1847	123	56	be	be	AUX
ejpam-1847	123	57	230	230	NUM
ejpam-1847	123	58	.	.	PUNCT
ejpam-1847	124	1	in	in	ADP
ejpam-1847	124	2	such	such	DET
ejpam-1847	124	3	a	a	DET
ejpam-1847	124	4	situation	situation	NOUN
ejpam-1847	124	5	,	,	PUNCT
ejpam-1847	124	6	computing	compute	VERB
ejpam-1847	124	7	and	and	CCONJ
ejpam-1847	124	8	comparing	compare	VERB
ejpam-1847	124	9	all	all	DET
ejpam-1847	124	10	the	the	DET
ejpam-1847	124	11	candidate	candidate	NOUN
ejpam-1847	124	12	models	model	NOUN
ejpam-1847	124	13	by	by	ADP
ejpam-1847	124	14	their	their	PRON
ejpam-1847	124	15	criterion	criterion	NOUN
ejpam-1847	124	16	values	value	NOUN
ejpam-1847	124	17	are	be	AUX
ejpam-1847	124	18	computationally	computationally	ADV
ejpam-1847	124	19	not	not	PART
ejpam-1847	124	20	feasible	feasible	ADJ
ejpam-1847	124	21	.	.	PUNCT
ejpam-1847	125	1	people	people	NOUN
ejpam-1847	125	2	have	have	AUX
ejpam-1847	125	3	tried	try	VERB
ejpam-1847	125	4	several	several	ADJ
ejpam-1847	125	5	ways	way	NOUN
ejpam-1847	125	6	to	to	PART
ejpam-1847	125	7	overcome	overcome	VERB
ejpam-1847	125	8	this	this	DET
ejpam-1847	125	9	difficulty	difficulty	NOUN
ejpam-1847	125	10	.	.	PUNCT
ejpam-1847	126	1	penm	penm	VERB
ejpam-1847	126	2	and	and	CCONJ
ejpam-1847	126	3	terrell	terrell	PROPN
ejpam-1847	127	1	[	[	X
ejpam-1847	127	2	25	25	NUM
ejpam-1847	127	3	]	]	PUNCT
ejpam-1847	127	4	considered	consider	VERB
ejpam-1847	127	5	subset	subset	NOUN
ejpam-1847	127	6	models	model	NOUN
ejpam-1847	127	7	where	where	SCONJ
ejpam-1847	127	8	some	some	DET
ejpam-1847	127	9	coefficient	coefficient	NOUN
ejpam-1847	127	10	matrices	matrix	NOUN
ejpam-1847	127	11	φi	φi	ADV
ejpam-1847	127	12	rather	rather	ADV
ejpam-1847	127	13	than	than	ADP
ejpam-1847	127	14	individual	individual	ADJ
ejpam-1847	127	15	coefficients	coefficient	NOUN
ejpam-1847	127	16	are	be	AUX
ejpam-1847	127	17	entirely	entirely	ADV
ejpam-1847	127	18	set	set	VERB
ejpam-1847	127	19	to	to	ADP
ejpam-1847	127	20	zero	zero	NUM
ejpam-1847	127	21	.	.	PUNCT
ejpam-1847	128	1	such	such	DET
ejpam-1847	128	2	a	a	DET
ejpam-1847	128	3	strategy	strategy	NOUN
ejpam-1847	128	4	reduces	reduce	VERB
ejpam-1847	128	5	the	the	DET
ejpam-1847	128	6	number	number	NOUN
ejpam-1847	128	7	of	of	ADP
ejpam-1847	128	8	subset	subset	ADJ
ejpam-1847	128	9	var	var	NOUN
ejpam-1847	128	10	models	model	NOUN
ejpam-1847	128	11	to	to	PART
ejpam-1847	128	12	be	be	AUX
ejpam-1847	128	13	compared	compare	VERB
ejpam-1847	128	14	with	with	ADP
ejpam-1847	128	15	each	each	DET
ejpam-1847	128	16	other	other	ADJ
ejpam-1847	128	17	to	to	ADP
ejpam-1847	128	18	2p	2p	NUM
ejpam-1847	128	19	.	.	PUNCT
ejpam-1847	129	1	deleting	delete	VERB
ejpam-1847	129	2	some	some	DET
ejpam-1847	129	3	coefficient	coefficient	NOUN
ejpam-1847	129	4	matrices	matrix	NOUN
ejpam-1847	129	5	completely	completely	ADV
ejpam-1847	129	6	may	may	AUX
ejpam-1847	129	7	be	be	AUX
ejpam-1847	129	8	reasonable	reasonable	ADJ
ejpam-1847	129	9	if	if	SCONJ
ejpam-1847	129	10	,	,	PUNCT
ejpam-1847	129	11	for	for	ADP
ejpam-1847	129	12	example	example	NOUN
ejpam-1847	129	13	,	,	PUNCT
ejpam-1847	129	14	seasonal	seasonal	ADJ
ejpam-1847	129	15	data	datum	NOUN
ejpam-1847	129	16	with	with	ADP
ejpam-1847	129	17	strong	strong	ADJ
ejpam-1847	129	18	seasonal	seasonal	ADJ
ejpam-1847	129	19	components	component	NOUN
ejpam-1847	129	20	are	be	AUX
ejpam-1847	129	21	considered	consider	VERB
ejpam-1847	129	22	where	where	SCONJ
ejpam-1847	129	23	only	only	ADJ
ejpam-1847	129	24	coefficients	coefficient	NOUN
ejpam-1847	129	25	at	at	ADP
ejpam-1847	129	26	seasonal	seasonal	ADJ
ejpam-1847	129	27	lags	lag	NOUN
ejpam-1847	129	28	are	be	AUX
ejpam-1847	129	29	different	different	ADJ
ejpam-1847	129	30	from	from	ADP
ejpam-1847	129	31	zero	zero	NUM
ejpam-1847	129	32	.	.	PUNCT
ejpam-1847	130	1	in	in	ADP
ejpam-1847	130	2	this	this	DET
ejpam-1847	130	3	situation	situation	NOUN
ejpam-1847	130	4	,	,	PUNCT
ejpam-1847	130	5	there	there	PRON
ejpam-1847	130	6	may	may	AUX
ejpam-1847	130	7	still	still	ADV
ejpam-1847	130	8	be	be	AUX
ejpam-1847	130	9	potential	potential	ADJ
ejpam-1847	130	10	for	for	ADP
ejpam-1847	130	11	further	further	ADJ
ejpam-1847	130	12	coefficient	coefficient	NOUN
ejpam-1847	130	13	restriction	restriction	NOUN
ejpam-1847	130	14	.	.	PUNCT
ejpam-1847	131	1	on	on	ADP
ejpam-1847	131	2	the	the	DET
ejpam-1847	131	3	other	other	ADJ
ejpam-1847	131	4	hand	hand	NOUN
ejpam-1847	131	5	,	,	PUNCT
ejpam-1847	131	6	some	some	PRON
ejpam-1847	131	7	of	of	ADP
ejpam-1847	131	8	the	the	DET
ejpam-1847	131	9	deleted	delete	VERB
ejpam-1847	131	10	coefficient	coefficient	NOUN
ejpam-1847	131	11	matrices	matrix	NOUN
ejpam-1847	131	12	may	may	AUX
ejpam-1847	131	13	contain	contain	VERB
ejpam-1847	131	14	elements	element	NOUN
ejpam-1847	131	15	that	that	PRON
ejpam-1847	131	16	should	should	AUX
ejpam-1847	131	17	not	not	PART
ejpam-1847	131	18	have	have	AUX
ejpam-1847	131	19	been	be	AUX
ejpam-1847	131	20	deleted	delete	VERB
ejpam-1847	131	21	.	.	PUNCT
ejpam-1847	132	1	lütkepohl	lütkepohl	X
ejpam-1847	133	1	[	[	X
ejpam-1847	133	2	23	23	NUM
ejpam-1847	133	3	,	,	PUNCT
ejpam-1847	133	4	pp208	pp208	NOUN
ejpam-1847	133	5	-	-	SYM
ejpam-1847	133	6	211	211	NUM
ejpam-1847	133	7	]	]	PUNCT
ejpam-1847	133	8	proposed	propose	VERB
ejpam-1847	133	9	the	the	DET
ejpam-1847	133	10	top	top	VERB
ejpam-1847	133	11	-	-	PUNCT
ejpam-1847	133	12	down	down	ADP
ejpam-1847	133	13	strategy	strategy	NOUN
ejpam-1847	133	14	,	,	PUNCT
ejpam-1847	133	15	the	the	DET
ejpam-1847	133	16	bottom	bottom	NOUN
ejpam-1847	133	17	-	-	PUNCT
ejpam-1847	133	18	up	up	ADP
ejpam-1847	133	19	strategy	strategy	NOUN
ejpam-1847	133	20	and	and	CCONJ
ejpam-1847	133	21	the	the	DET
ejpam-1847	133	22	sequential	sequential	ADJ
ejpam-1847	133	23	elimination	elimination	NOUN
ejpam-1847	133	24	of	of	ADP
ejpam-1847	133	25	regressors	regressor	NOUN
ejpam-1847	133	26	.	.	PUNCT
ejpam-1847	134	1	however	however	ADV
ejpam-1847	134	2	,	,	PUNCT
ejpam-1847	134	3	all	all	DET
ejpam-1847	134	4	the	the	DET
ejpam-1847	134	5	three	three	NUM
ejpam-1847	134	6	methods	method	NOUN
ejpam-1847	134	7	are	be	AUX
ejpam-1847	134	8	based	base	VERB
ejpam-1847	134	9	on	on	ADP
ejpam-1847	134	10	the	the	DET
ejpam-1847	134	11	deterministic	deterministic	ADJ
ejpam-1847	134	12	step	step	NOUN
ejpam-1847	134	13	-	-	PUNCT
ejpam-1847	134	14	wise	wise	ADJ
ejpam-1847	134	15	regression	regression	NOUN
ejpam-1847	134	16	method	method	NOUN
ejpam-1847	134	17	which	which	PRON
ejpam-1847	134	18	can	can	AUX
ejpam-1847	134	19	not	not	PART
ejpam-1847	134	20	ensure	ensure	VERB
ejpam-1847	134	21	finding	find	VERB
ejpam-1847	134	22	the	the	DET
ejpam-1847	134	23	best	good	ADJ
ejpam-1847	134	24	subset	subset	VERB
ejpam-1847	134	25	var	var	NOUN
ejpam-1847	134	26	model	model	NOUN
ejpam-1847	134	27	even	even	ADV
ejpam-1847	134	28	asymptotically	asymptotically	ADV
ejpam-1847	134	29	.	.	PUNCT
ejpam-1847	135	1	more	more	ADV
ejpam-1847	135	2	recently	recently	ADV
ejpam-1847	135	3	,	,	PUNCT
ejpam-1847	135	4	howe	howe	NOUN
ejpam-1847	135	5	and	and	CCONJ
ejpam-1847	135	6	bozdogan	bozdogan	NOUN
ejpam-1847	136	1	[	[	X
ejpam-1847	136	2	19	19	NUM
ejpam-1847	136	3	]	]	PUNCT
ejpam-1847	136	4	developed	develop	VERB
ejpam-1847	136	5	a	a	DET
ejpam-1847	136	6	genetic	genetic	ADJ
ejpam-1847	136	7	algorithm	algorithm	NOUN
ejpam-1847	136	8	for	for	ADP
ejpam-1847	136	9	var	var	NOUN
ejpam-1847	136	10	model	model	NOUN
ejpam-1847	136	11	selection	selection	NOUN
ejpam-1847	136	12	based	base	VERB
ejpam-1847	136	13	on	on	ADP
ejpam-1847	136	14	icomp	icomp	PROPN
ejpam-1847	136	15	.	.	PUNCT
ejpam-1847	137	1	they	they	PRON
ejpam-1847	137	2	used	use	VERB
ejpam-1847	137	3	simulation	simulation	NOUN
ejpam-1847	137	4	and	and	CCONJ
ejpam-1847	137	5	application	application	NOUN
ejpam-1847	137	6	studies	study	NOUN
ejpam-1847	137	7	to	to	PART
ejpam-1847	137	8	illustrate	illustrate	VERB
ejpam-1847	137	9	how	how	SCONJ
ejpam-1847	137	10	predictive	predictive	ADJ
ejpam-1847	137	11	subset	subset	NOUN
ejpam-1847	137	12	var	var	NOUN
ejpam-1847	137	13	modeling	modeling	NOUN
ejpam-1847	137	14	can	can	AUX
ejpam-1847	137	15	be	be	AUX
ejpam-1847	137	16	done	do	VERB
ejpam-1847	137	17	in	in	ADP
ejpam-1847	137	18	a	a	DET
ejpam-1847	137	19	computationally	computationally	ADV
ejpam-1847	137	20	feasible	feasible	ADJ
ejpam-1847	137	21	way	way	NOUN
ejpam-1847	137	22	.	.	PUNCT
ejpam-1847	138	1	in	in	ADP
ejpam-1847	138	2	this	this	DET
ejpam-1847	138	3	paper	paper	NOUN
ejpam-1847	138	4	we	we	PRON
ejpam-1847	138	5	propose	propose	VERB
ejpam-1847	138	6	a	a	DET
ejpam-1847	138	7	random	random	ADJ
ejpam-1847	138	8	model	model	NOUN
ejpam-1847	138	9	generating	generating	NOUN
ejpam-1847	138	10	procedure	procedure	NOUN
ejpam-1847	138	11	using	use	VERB
ejpam-1847	138	12	the	the	DET
ejpam-1847	138	13	gibbs	gibbs	PROPN
ejpam-1847	138	14	sampler	sampler	NOUN
ejpam-1847	138	15	to	to	PART
ejpam-1847	138	16	overcome	overcome	VERB
ejpam-1847	138	17	the	the	DET
ejpam-1847	138	18	aforementioned	aforementioned	ADJ
ejpam-1847	138	19	difficulty	difficulty	NOUN
ejpam-1847	138	20	.	.	PUNCT
ejpam-1847	139	1	we	we	PRON
ejpam-1847	139	2	first	first	ADV
ejpam-1847	139	3	define	define	VERB
ejpam-1847	139	4	a	a	DET
ejpam-1847	139	5	particular	particular	ADJ
ejpam-1847	139	6	probability	probability	NOUN
ejpam-1847	139	7	mass	mass	NOUN
ejpam-1847	139	8	function	function	NOUN
ejpam-1847	139	9	on	on	ADP
ejpam-1847	139	10	the	the	DET
ejpam-1847	139	11	set	set	NOUN
ejpam-1847	139	12	of	of	ADP
ejpam-1847	139	13	the	the	DET
ejpam-1847	139	14	criterion	criterion	NOUN
ejpam-1847	139	15	values	value	NOUN
ejpam-1847	139	16	of	of	ADP
ejpam-1847	139	17	all	all	DET
ejpam-1847	139	18	the	the	DET
ejpam-1847	139	19	candidate	candidate	NOUN
ejpam-1847	139	20	subset	subset	VERB
ejpam-1847	139	21	var	var	NOUN
ejpam-1847	139	22	models	model	NOUN
ejpam-1847	139	23	;	;	PUNCT
ejpam-1847	139	24	and	and	CCONJ
ejpam-1847	139	25	by	by	ADP
ejpam-1847	139	26	this	this	DET
ejpam-1847	139	27	definition	definition	NOUN
ejpam-1847	139	28	the	the	DET
ejpam-1847	139	29	best	good	ADJ
ejpam-1847	139	30	model	model	NOUN
ejpam-1847	139	31	that	that	PRON
ejpam-1847	139	32	has	have	VERB
ejpam-1847	139	33	the	the	DET
ejpam-1847	139	34	lowest	low	ADJ
ejpam-1847	139	35	criterion	criterion	NOUN
ejpam-1847	139	36	value	value	NOUN
ejpam-1847	139	37	will	will	AUX
ejpam-1847	139	38	have	have	VERB
ejpam-1847	139	39	the	the	DET
ejpam-1847	139	40	highest	high	ADJ
ejpam-1847	139	41	probability	probability	NOUN
ejpam-1847	139	42	.	.	PUNCT
ejpam-1847	140	1	thus	thus	ADV
ejpam-1847	140	2	if	if	SCONJ
ejpam-1847	140	3	we	we	PRON
ejpam-1847	140	4	can	can	AUX
ejpam-1847	140	5	generate	generate	VERB
ejpam-1847	140	6	from	from	ADP
ejpam-1847	140	7	the	the	DET
ejpam-1847	140	8	defined	define	VERB
ejpam-1847	140	9	probability	probability	NOUN
ejpam-1847	140	10	mass	mass	NOUN
ejpam-1847	140	11	function	function	VERB
ejpam-1847	140	12	a	a	DET
ejpam-1847	140	13	random	random	ADJ
ejpam-1847	140	14	sample	sample	NOUN
ejpam-1847	140	15	of	of	ADP
ejpam-1847	140	16	models	model	NOUN
ejpam-1847	140	17	together	together	ADV
ejpam-1847	140	18	with	with	ADP
ejpam-1847	140	19	their	their	PRON
ejpam-1847	140	20	criterion	criterion	NOUN
ejpam-1847	140	21	values	value	NOUN
ejpam-1847	140	22	,	,	PUNCT
ejpam-1847	140	23	the	the	DET
ejpam-1847	140	24	best	good	ADJ
ejpam-1847	140	25	model	model	NOUN
ejpam-1847	140	26	will	will	AUX
ejpam-1847	140	27	tend	tend	VERB
ejpam-1847	140	28	to	to	PART
ejpam-1847	140	29	appear	appear	VERB
ejpam-1847	140	30	among	among	ADP
ejpam-1847	140	31	the	the	DET
ejpam-1847	140	32	most	most	ADV
ejpam-1847	140	33	frequent	frequent	ADJ
ejpam-1847	140	34	and	and	CCONJ
ejpam-1847	140	35	earliest	early	ADJ
ejpam-1847	140	36	if	if	SCONJ
ejpam-1847	140	37	the	the	DET
ejpam-1847	140	38	number	number	NOUN
ejpam-1847	140	39	of	of	ADP
ejpam-1847	140	40	the	the	DET
ejpam-1847	140	41	models	model	NOUN
ejpam-1847	140	42	to	to	PART
ejpam-1847	140	43	be	be	AUX
ejpam-1847	140	44	generated	generate	VERB
ejpam-1847	140	45	is	be	AUX
ejpam-1847	140	46	large	large	ADJ
ejpam-1847	140	47	enough	enough	ADV
ejpam-1847	140	48	.	.	PUNCT
ejpam-1847	141	1	therefore	therefore	ADV
ejpam-1847	141	2	we	we	PRON
ejpam-1847	141	3	can	can	AUX
ejpam-1847	141	4	quickly	quickly	ADV
ejpam-1847	141	5	identify	identify	VERB
ejpam-1847	141	6	the	the	DET
ejpam-1847	141	7	best	good	ADJ
ejpam-1847	141	8	model	model	NOUN
ejpam-1847	141	9	from	from	ADP
ejpam-1847	141	10	the	the	DET
ejpam-1847	141	11	large	large	ADJ
ejpam-1847	141	12	number	number	NOUN
ejpam-1847	141	13	of	of	ADP
ejpam-1847	141	14	candidate	candidate	NOUN
ejpam-1847	141	15	models	model	NOUN
ejpam-1847	141	16	generated	generate	VERB
ejpam-1847	141	17	.	.	PUNCT
ejpam-1847	142	1	we	we	PRON
ejpam-1847	142	2	will	will	AUX
ejpam-1847	142	3	show	show	VERB
ejpam-1847	142	4	how	how	SCONJ
ejpam-1847	142	5	the	the	DET
ejpam-1847	142	6	gibbs	gibbs	PROPN
ejpam-1847	142	7	sampler	sampler	NOUN
ejpam-1847	142	8	can	can	AUX
ejpam-1847	142	9	be	be	AUX
ejpam-1847	142	10	used	use	VERB
ejpam-1847	142	11	to	to	PART
ejpam-1847	142	12	generate	generate	VERB
ejpam-1847	142	13	a	a	DET
ejpam-1847	142	14	random	random	ADJ
ejpam-1847	142	15	sample	sample	NOUN
ejpam-1847	142	16	of	of	ADP
ejpam-1847	142	17	subset	subset	ADJ
ejpam-1847	142	18	var	var	NOUN
ejpam-1847	142	19	models	model	NOUN
ejpam-1847	142	20	.	.	PUNCT
ejpam-1847	143	1	in	in	ADP
ejpam-1847	143	2	the	the	DET
ejpam-1847	143	3	sequel	sequel	NOUN
ejpam-1847	143	4	of	of	ADP
ejpam-1847	143	5	this	this	DET
ejpam-1847	143	6	paper	paper	NOUN
ejpam-1847	143	7	,	,	PUNCT
ejpam-1847	143	8	for	for	ADP
ejpam-1847	143	9	simplicity	simplicity	NOUN
ejpam-1847	143	10	of	of	ADP
ejpam-1847	143	11	presentation	presentation	NOUN
ejpam-1847	143	12	,	,	PUNCT
ejpam-1847	143	13	we	we	PRON
ejpam-1847	143	14	will	will	AUX
ejpam-1847	143	15	call	call	VERB
ejpam-1847	143	16	a	a	DET
ejpam-1847	143	17	subset	subset	VERB
ejpam-1847	143	18	var	var	NOUN
ejpam-1847	143	19	model	model	NOUN
ejpam-1847	143	20	simply	simply	ADV
ejpam-1847	143	21	as	as	ADP
ejpam-1847	143	22	a	a	DET
ejpam-1847	143	23	var	var	NOUN
ejpam-1847	143	24	model	model	NOUN
ejpam-1847	143	25	.	.	PUNCT
ejpam-1847	144	1	4	4	NUM
ejpam-1847	144	2	.	.	NOUN
ejpam-1847	144	3	var	var	NOUN
ejpam-1847	144	4	model	model	NOUN
ejpam-1847	144	5	selection	selection	NOUN
ejpam-1847	144	6	using	use	VERB
ejpam-1847	144	7	gibbs	gibbs	PROPN
ejpam-1847	144	8	sampler	sampler	PROPN
ejpam-1847	144	9	4.1	4.1	NUM
ejpam-1847	144	10	.	.	PUNCT
ejpam-1847	145	1	a	a	DET
ejpam-1847	145	2	representation	representation	NOUN
ejpam-1847	145	3	of	of	ADP
ejpam-1847	145	4	var	var	NOUN
ejpam-1847	145	5	model	model	NOUN
ejpam-1847	145	6	by	by	ADP
ejpam-1847	145	7	an	an	DET
ejpam-1847	145	8	index	index	NOUN
ejpam-1847	145	9	matrix	matrix	NOUN
ejpam-1847	145	10	for	for	ADP
ejpam-1847	145	11	simplicity	simplicity	NOUN
ejpam-1847	145	12	of	of	ADP
ejpam-1847	145	13	presentation	presentation	NOUN
ejpam-1847	145	14	,	,	PUNCT
ejpam-1847	145	15	in	in	ADP
ejpam-1847	145	16	this	this	DET
ejpam-1847	145	17	section	section	NOUN
ejpam-1847	145	18	we	we	PRON
ejpam-1847	145	19	introduce	introduce	VERB
ejpam-1847	145	20	our	our	PRON
ejpam-1847	145	21	model	model	NOUN
ejpam-1847	145	22	selection	selection	NOUN
ejpam-1847	145	23	procedure	procedure	NOUN
ejpam-1847	145	24	through	through	ADP
ejpam-1847	145	25	the	the	DET
ejpam-1847	145	26	var	var	NOUN
ejpam-1847	145	27	models	model	NOUN
ejpam-1847	145	28	that	that	PRON
ejpam-1847	145	29	have	have	VERB
ejpam-1847	145	30	no	no	DET
ejpam-1847	145	31	intercepts	intercept	NOUN
ejpam-1847	145	32	.	.	PUNCT
ejpam-1847	146	1	the	the	DET
ejpam-1847	146	2	technique	technique	NOUN
ejpam-1847	146	3	to	to	PART
ejpam-1847	146	4	be	be	AUX
ejpam-1847	146	5	developed	develop	VERB
ejpam-1847	146	6	applies	apply	VERB
ejpam-1847	146	7	as	as	ADV
ejpam-1847	146	8	well	well	ADV
ejpam-1847	146	9	to	to	ADP
ejpam-1847	146	10	the	the	DET
ejpam-1847	146	11	situations	situation	NOUN
ejpam-1847	146	12	where	where	SCONJ
ejpam-1847	146	13	the	the	DET
ejpam-1847	146	14	var	var	NOUN
ejpam-1847	146	15	models	model	NOUN
ejpam-1847	146	16	have	have	VERB
ejpam-1847	146	17	intercepts	intercept	NOUN
ejpam-1847	146	18	.	.	PUNCT
ejpam-1847	147	1	from	from	ADP
ejpam-1847	147	2	the	the	DET
ejpam-1847	147	3	q	q	ADJ
ejpam-1847	147	4	time	time	NOUN
ejpam-1847	147	5	series	series	PROPN
ejpam-1847	147	6	observed	observe	VERB
ejpam-1847	147	7	suppose	suppose	VERB
ejpam-1847	147	8	the	the	DET
ejpam-1847	147	9	maximum	maximum	ADJ
ejpam-1847	147	10	possible	possible	ADJ
ejpam-1847	147	11	value	value	NOUN
ejpam-1847	147	12	of	of	ADP
ejpam-1847	147	13	the	the	DET
ejpam-1847	147	14	order	order	NOUN
ejpam-1847	147	15	p	p	NOUN
ejpam-1847	147	16	of	of	ADP
ejpam-1847	147	17	the	the	DET
ejpam-1847	147	18	var	var	NOUN
ejpam-1847	147	19	models	model	NOUN
ejpam-1847	147	20	to	to	PART
ejpam-1847	147	21	be	be	AUX
ejpam-1847	147	22	considered	consider	VERB
ejpam-1847	147	23	may	may	AUX
ejpam-1847	147	24	be	be	AUX
ejpam-1847	147	25	determined	determine	VERB
ejpam-1847	147	26	by	by	ADP
ejpam-1847	147	27	some	some	DET
ejpam-1847	147	28	method	method	NOUN
ejpam-1847	147	29	such	such	ADJ
ejpam-1847	147	30	as	as	ADP
ejpam-1847	147	31	the	the	DET
ejpam-1847	147	32	lütkepohl	lütkepohl	NOUN
ejpam-1847	147	33	’s	’s	PART
ejpam-1847	147	34	lr	lr	NOUN
ejpam-1847	147	35	testing	testing	NOUN
ejpam-1847	147	36	scheme	scheme	NOUN
ejpam-1847	147	37	described	describe	VERB
ejpam-1847	147	38	in	in	ADP
ejpam-1847	147	39	section	section	NOUN
ejpam-1847	147	40	3.1	3.1	NUM
ejpam-1847	147	41	.	.	PUNCT
ejpam-1847	148	1	it	it	PRON
ejpam-1847	148	2	is	be	AUX
ejpam-1847	148	3	clear	clear	ADJ
ejpam-1847	148	4	that	that	SCONJ
ejpam-1847	148	5	the	the	DET
ejpam-1847	148	6	key	key	ADJ
ejpam-1847	148	7	point	point	NOUN
ejpam-1847	148	8	of	of	ADP
ejpam-1847	148	9	the	the	DET
ejpam-1847	148	10	var	var	PROPN
ejpam-1847	148	11	model	model	NOUN
ejpam-1847	148	12	selection	selection	NOUN
ejpam-1847	148	13	is	be	AUX
ejpam-1847	148	14	to	to	PART
ejpam-1847	148	15	determine	determine	VERB
ejpam-1847	148	16	which	which	DET
ejpam-1847	148	17	subset	subset	NOUN
ejpam-1847	148	18	of	of	ADP
ejpam-1847	148	19	the	the	DET
ejpam-1847	148	20	pq2	pq2	NOUN
ejpam-1847	148	21	coefficients	coefficient	NOUN
ejpam-1847	148	22	in	in	ADP
ejpam-1847	148	23	(	(	PUNCT
ejpam-1847	148	24	φ1	φ1	NOUN
ejpam-1847	148	25	.	.	PUNCT
ejpam-1847	148	26	.	.	PUNCT
ejpam-1847	149	1	.φp	.φp	NUM
ejpam-1847	149	2	)	)	PUNCT
ejpam-1847	150	1	should	should	AUX
ejpam-1847	150	2	be	be	AUX
ejpam-1847	150	3	taken	take	VERB
ejpam-1847	150	4	as	as	ADP
ejpam-1847	150	5	zero	zero	NUM
ejpam-1847	150	6	.	.	PUNCT
ejpam-1847	151	1	knowing	know	VERB
ejpam-1847	151	2	this	this	PRON
ejpam-1847	151	3	a	a	DET
ejpam-1847	151	4	model	model	NOUN
ejpam-1847	151	5	selection	selection	NOUN
ejpam-1847	151	6	framework	framework	NOUN
ejpam-1847	151	7	is	be	AUX
ejpam-1847	151	8	set	set	VERB
ejpam-1847	151	9	up	up	ADP
ejpam-1847	151	10	as	as	SCONJ
ejpam-1847	151	11	follows	follow	VERB
ejpam-1847	151	12	.	.	PUNCT
ejpam-1847	152	1	first	first	ADV
ejpam-1847	152	2	we	we	PRON
ejpam-1847	152	3	call	call	VERB
ejpam-1847	152	4	var(p	var(p	NOUN
ejpam-1847	152	5	)	)	PUNCT
ejpam-1847	152	6	the	the	DET
ejpam-1847	152	7	full	full	ADJ
ejpam-1847	152	8	model	model	NOUN
ejpam-1847	152	9	for	for	ADP
ejpam-1847	152	10	the	the	DET
ejpam-1847	152	11	observed	observed	ADJ
ejpam-1847	152	12	series	series	NOUN
ejpam-1847	152	13	yt	yt	NOUN
ejpam-1847	152	14	=	=	SYM
ejpam-1847	152	15	(	(	PUNCT
ejpam-1847	152	16	y1	y1	INTJ
ejpam-1847	152	17	t	t	PROPN
ejpam-1847	152	18	,	,	PUNCT
ejpam-1847	152	19	y2	y2	PROPN
ejpam-1847	152	20	t	t	PROPN
ejpam-1847	152	21	.	.	PUNCT
ejpam-1847	152	22	.	.	PUNCT
ejpam-1847	152	23	.	.	PUNCT
ejpam-1847	153	1	yqt)′.	yqt)′.	NOUN
ejpam-1847	153	2	we	we	PRON
ejpam-1847	153	3	may	may	AUX
ejpam-1847	153	4	x.zhao	x.zhao	PROPN
ejpam-1847	153	5	,	,	PUNCT
ejpam-1847	153	6	g.	g.	PROPN
ejpam-1847	153	7	qian	qian	PROPN
ejpam-1847	153	8	/	/	SYM
ejpam-1847	153	9	eur	eur	PROPN
ejpam-1847	153	10	.	.	PUNCT
ejpam-1847	154	1	j.	j.	PROPN
ejpam-1847	154	2	pure	pure	PROPN
ejpam-1847	154	3	appl	appl	PROPN
ejpam-1847	154	4	.	.	PROPN
ejpam-1847	154	5	math	math	PROPN
ejpam-1847	154	6	,	,	PUNCT
ejpam-1847	154	7	7	7	NUM
ejpam-1847	154	8	(	(	PUNCT
ejpam-1847	154	9	2014	2014	NUM
ejpam-1847	154	10	)	)	PUNCT
ejpam-1847	154	11	,	,	PUNCT
ejpam-1847	154	12	1	1	NUM
ejpam-1847	154	13	-	-	SYM
ejpam-1847	154	14	21	21	NUM
ejpam-1847	154	15	7	7	NUM
ejpam-1847	154	16	represent	represent	VERB
ejpam-1847	154	17	the	the	DET
ejpam-1847	154	18	full	full	ADJ
ejpam-1847	154	19	model	model	NOUN
ejpam-1847	154	20	by	by	ADP
ejpam-1847	154	21	var	var	NOUN
ejpam-1847	154	22	(	(	PUNCT
ejpam-1847	154	23	vf	vf	NOUN
ejpam-1847	154	24	)	)	PUNCT
ejpam-1847	154	25	or	or	CCONJ
ejpam-1847	154	26	simply	simply	ADV
ejpam-1847	154	27	by	by	ADP
ejpam-1847	154	28	an	an	DET
ejpam-1847	154	29	index	index	NOUN
ejpam-1847	154	30	matrix	matrix	NOUN
ejpam-1847	154	31	vf	vf	NOUN
ejpam-1847	154	32	knowing	know	VERB
ejpam-1847	154	33	that	that	SCONJ
ejpam-1847	154	34	only	only	ADV
ejpam-1847	154	35	var	var	NOUN
ejpam-1847	154	36	models	model	NOUN
ejpam-1847	154	37	are	be	AUX
ejpam-1847	154	38	considered	consider	VERB
ejpam-1847	154	39	.	.	PUNCT
ejpam-1847	155	1	here	here	ADV
ejpam-1847	155	2	vf	vf	X
ejpam-1847	156	1	=	=	SYM
ejpam-1847	156	2	(	(	PUNCT
ejpam-1847	156	3	vf1	vf1	PROPN
ejpam-1847	156	4	.	.	PUNCT
ejpam-1847	156	5	.	.	PUNCT
ejpam-1847	156	6	.	.	PUNCT
ejpam-1847	157	1	vf	vf	PROPN
ejpam-1847	157	2	p	p	NOUN
ejpam-1847	157	3	)	)	PUNCT
ejpam-1847	157	4	,	,	PUNCT
ejpam-1847	157	5	with	with	ADP
ejpam-1847	157	6	vf	vf	X
ejpam-1847	157	7	i	i	NOUN
ejpam-1847	157	8	=	=	PUNCT
ejpam-1847	157	9	{	{	PUNCT
ejpam-1847	157	10	1}q×q	1}q×q	NUM
ejpam-1847	157	11	being	be	AUX
ejpam-1847	157	12	a	a	DET
ejpam-1847	157	13	q×	q×	ADJ
ejpam-1847	157	14	q	q	NOUN
ejpam-1847	157	15	matrix	matrix	NOUN
ejpam-1847	157	16	of	of	ADP
ejpam-1847	157	17	1	1	NUM
ejpam-1847	157	18	’s	’s	NOUN
ejpam-1847	157	19	in	in	ADP
ejpam-1847	157	20	correspondence	correspondence	NOUN
ejpam-1847	157	21	to	to	ADP
ejpam-1847	157	22	the	the	DET
ejpam-1847	157	23	coefficient	coefficient	NOUN
ejpam-1847	157	24	matrix	matrix	NOUN
ejpam-1847	157	25	φi	φi	ADP
ejpam-1847	157	26	,	,	PUNCT
ejpam-1847	157	27	i	i	PRON
ejpam-1847	157	28	=	=	NOUN
ejpam-1847	157	29	1	1	NUM
ejpam-1847	157	30	,	,	PUNCT
ejpam-1847	157	31	.	.	PUNCT
ejpam-1847	157	32	.	.	PUNCT
ejpam-1847	157	33	.	.	PUNCT
ejpam-1847	158	1	,	,	PUNCT
ejpam-1847	158	2	p.	p.	NOUN
ejpam-1847	158	3	furthermore	furthermore	ADV
ejpam-1847	158	4	,	,	PUNCT
ejpam-1847	158	5	we	we	PRON
ejpam-1847	158	6	represent	represent	VERB
ejpam-1847	158	7	each	each	DET
ejpam-1847	158	8	subset	subset	VERB
ejpam-1847	158	9	var	var	NOUN
ejpam-1847	158	10	model	model	NOUN
ejpam-1847	158	11	by	by	ADP
ejpam-1847	158	12	var(v	var(v	PROPN
ejpam-1847	158	13	)	)	PUNCT
ejpam-1847	158	14	or	or	CCONJ
ejpam-1847	158	15	an	an	DET
ejpam-1847	158	16	indicator	indicator	NOUN
ejpam-1847	158	17	matrix	matrix	NOUN
ejpam-1847	158	18	v	v	ADP
ejpam-1847	158	19	=	=	SYM
ejpam-1847	158	20	(	(	PUNCT
ejpam-1847	158	21	v1	v1	PROPN
ejpam-1847	158	22	.	.	PUNCT
ejpam-1847	158	23	.	.	PUNCT
ejpam-1847	158	24	.	.	PUNCT
ejpam-1847	159	1	vp	vp	PROPN
ejpam-1847	159	2	)	)	PUNCT
ejpam-1847	159	3	,	,	PUNCT
ejpam-1847	159	4	where	where	SCONJ
ejpam-1847	159	5	vi	vi	PROPN
ejpam-1847	159	6	is	be	AUX
ejpam-1847	159	7	a	a	DET
ejpam-1847	159	8	q×q	q×q	ADJ
ejpam-1847	159	9	matrix	matrix	NOUN
ejpam-1847	159	10	consisting	consist	VERB
ejpam-1847	159	11	of	of	ADP
ejpam-1847	159	12	only	only	ADV
ejpam-1847	159	13	0	0	NUM
ejpam-1847	159	14	or	or	CCONJ
ejpam-1847	159	15	1	1	NUM
ejpam-1847	159	16	values	value	NOUN
ejpam-1847	159	17	,	,	PUNCT
ejpam-1847	159	18	and	and	CCONJ
ejpam-1847	159	19	the	the	DET
ejpam-1847	159	20	(	(	PUNCT
ejpam-1847	159	21	j	j	NOUN
ejpam-1847	159	22	,	,	PUNCT
ejpam-1847	159	23	k)-th	k)-th	PROPN
ejpam-1847	159	24	indicator	indicator	NOUN
ejpam-1847	159	25	component	component	NOUN
ejpam-1847	159	26	of	of	ADP
ejpam-1847	159	27	vi	vi	PROPN
ejpam-1847	159	28	is	be	AUX
ejpam-1847	159	29	denoted	denote	VERB
ejpam-1847	159	30	as	as	ADP
ejpam-1847	159	31	vi	vi	PROPN
ejpam-1847	159	32	,	,	PUNCT
ejpam-1847	159	33	jk	jk	PROPN
ejpam-1847	159	34	(	(	PUNCT
ejpam-1847	159	35	i	i	NOUN
ejpam-1847	159	36	=	=	NOUN
ejpam-1847	159	37	1	1	NUM
ejpam-1847	159	38	,	,	PUNCT
ejpam-1847	159	39	.	.	PUNCT
ejpam-1847	159	40	.	.	PUNCT
ejpam-1847	159	41	.	.	PUNCT
ejpam-1847	160	1	,	,	PUNCT
ejpam-1847	160	2	p	p	X
ejpam-1847	160	3	;	;	PUNCT
ejpam-1847	160	4	j	j	PROPN
ejpam-1847	160	5	=	=	SYM
ejpam-1847	160	6	1	1	NUM
ejpam-1847	160	7	,	,	PUNCT
ejpam-1847	160	8	.	.	PUNCT
ejpam-1847	160	9	.	.	PUNCT
ejpam-1847	160	10	.	.	PUNCT
ejpam-1847	161	1	,	,	PUNCT
ejpam-1847	161	2	q	q	X
ejpam-1847	161	3	;	;	PUNCT
ejpam-1847	161	4	and	and	CCONJ
ejpam-1847	161	5	k	k	X
ejpam-1847	161	6	=	=	SYM
ejpam-1847	161	7	1	1	NUM
ejpam-1847	161	8	,	,	PUNCT
ejpam-1847	161	9	.	.	PUNCT
ejpam-1847	161	10	.	.	PUNCT
ejpam-1847	162	1	.	.	PUNCT
ejpam-1847	163	1	,	,	PUNCT
ejpam-1847	163	2	q	q	X
ejpam-1847	163	3	)	)	PUNCT
ejpam-1847	163	4	.	.	PUNCT
ejpam-1847	164	1	we	we	PRON
ejpam-1847	164	2	take	take	VERB
ejpam-1847	164	3	vi	vi	PROPN
ejpam-1847	164	4	,	,	PUNCT
ejpam-1847	164	5	jk	jk	X
ejpam-1847	164	6	=	=	PUNCT
ejpam-1847	164	7	1	1	NUM
ejpam-1847	164	8	if	if	SCONJ
ejpam-1847	164	9	the	the	DET
ejpam-1847	164	10	(	(	PUNCT
ejpam-1847	164	11	j	j	NOUN
ejpam-1847	164	12	,	,	PUNCT
ejpam-1847	164	13	k)-th	k)-th	PROPN
ejpam-1847	164	14	coefficient	coefficient	NOUN
ejpam-1847	164	15	in	in	ADP
ejpam-1847	164	16	φi	φi	ADV
ejpam-1847	164	17	in	in	ADP
ejpam-1847	164	18	var(v	var(v	PROPN
ejpam-1847	164	19	)	)	PUNCT
ejpam-1847	164	20	does	do	AUX
ejpam-1847	164	21	not	not	PART
ejpam-1847	164	22	equal	equal	VERB
ejpam-1847	164	23	0	0	NUM
ejpam-1847	164	24	and	and	CCONJ
ejpam-1847	164	25	vi	vi	NOUN
ejpam-1847	164	26	,	,	PUNCT
ejpam-1847	164	27	jk	jk	X
ejpam-1847	164	28	=	=	PUNCT
ejpam-1847	164	29	0	0	PUNCT
ejpam-1847	165	1	otherwise	otherwise	ADV
ejpam-1847	165	2	.	.	PUNCT
ejpam-1847	166	1	note	note	VERB
ejpam-1847	166	2	that	that	SCONJ
ejpam-1847	166	3	v	v	NOUN
ejpam-1847	166	4	only	only	ADV
ejpam-1847	166	5	represents	represent	VERB
ejpam-1847	166	6	the	the	DET
ejpam-1847	166	7	structure	structure	NOUN
ejpam-1847	166	8	of	of	ADP
ejpam-1847	166	9	a	a	DET
ejpam-1847	166	10	candidate	candidate	NOUN
ejpam-1847	166	11	subset	subset	VERB
ejpam-1847	166	12	var	var	PROPN
ejpam-1847	166	13	model	model	PROPN
ejpam-1847	166	14	.	.	PUNCT
ejpam-1847	167	1	in	in	ADP
ejpam-1847	167	2	other	other	ADJ
ejpam-1847	167	3	words	word	NOUN
ejpam-1847	167	4	,	,	PUNCT
ejpam-1847	167	5	v	v	ADP
ejpam-1847	167	6	only	only	ADV
ejpam-1847	167	7	indicates	indicate	VERB
ejpam-1847	167	8	which	which	DET
ejpam-1847	167	9	coefficients	coefficient	NOUN
ejpam-1847	167	10	of	of	ADP
ejpam-1847	167	11	(	(	PUNCT
ejpam-1847	167	12	φ1	φ1	PROPN
ejpam-1847	167	13	.	.	PUNCT
ejpam-1847	167	14	.	.	PUNCT
ejpam-1847	168	1	.φp	.φp	PUNCT
ejpam-1847	168	2	)	)	PUNCT
ejpam-1847	168	3	do	do	AUX
ejpam-1847	168	4	not	not	PART
ejpam-1847	168	5	take	take	VERB
ejpam-1847	168	6	0	0	PUNCT
ejpam-1847	168	7	and	and	CCONJ
ejpam-1847	168	8	are	be	AUX
ejpam-1847	168	9	included	include	VERB
ejpam-1847	168	10	in	in	ADP
ejpam-1847	168	11	the	the	DET
ejpam-1847	168	12	var(v	var(v	PROPN
ejpam-1847	168	13	)	)	PUNCT
ejpam-1847	168	14	model	model	NOUN
ejpam-1847	168	15	.	.	PUNCT
ejpam-1847	169	1	thus	thus	ADV
ejpam-1847	169	2	,	,	PUNCT
ejpam-1847	169	3	the	the	DET
ejpam-1847	169	4	values	value	NOUN
ejpam-1847	169	5	of	of	ADP
ejpam-1847	169	6	the	the	DET
ejpam-1847	169	7	coefficients	coefficient	NOUN
ejpam-1847	169	8	still	still	ADV
ejpam-1847	169	9	need	need	VERB
ejpam-1847	169	10	to	to	PART
ejpam-1847	169	11	be	be	AUX
ejpam-1847	169	12	estimated	estimate	VERB
ejpam-1847	169	13	by	by	ADP
ejpam-1847	169	14	some	some	DET
ejpam-1847	169	15	statistical	statistical	ADJ
ejpam-1847	169	16	method	method	NOUN
ejpam-1847	169	17	such	such	ADJ
ejpam-1847	169	18	as	as	ADP
ejpam-1847	169	19	mle	mle	NOUN
ejpam-1847	169	20	.	.	PROPN
ejpam-1847	170	1	given	give	VERB
ejpam-1847	170	2	vf	vf	PROPN
ejpam-1847	170	3	there	there	PRON
ejpam-1847	170	4	are	be	VERB
ejpam-1847	170	5	in	in	ADP
ejpam-1847	170	6	total	total	ADJ
ejpam-1847	170	7	2pq2	2pq2	NUM
ejpam-1847	170	8	candidate	candidate	NOUN
ejpam-1847	170	9	models	model	NOUN
ejpam-1847	170	10	.	.	PUNCT
ejpam-1847	171	1	now	now	ADV
ejpam-1847	171	2	suppose	suppose	VERB
ejpam-1847	171	3	the	the	DET
ejpam-1847	171	4	true	true	ADJ
ejpam-1847	171	5	model	model	NOUN
ejpam-1847	171	6	for	for	ADP
ejpam-1847	171	7	yt	yt	NOUN
ejpam-1847	171	8	=	=	SYM
ejpam-1847	171	9	(	(	PUNCT
ejpam-1847	171	10	y1	y1	INTJ
ejpam-1847	171	11	t	t	PROPN
ejpam-1847	171	12	,	,	PUNCT
ejpam-1847	171	13	y2	y2	PROPN
ejpam-1847	171	14	t	t	PROPN
ejpam-1847	171	15	.	.	PUNCT
ejpam-1847	171	16	.	.	PUNCT
ejpam-1847	171	17	.	.	PUNCT
ejpam-1847	172	1	yqt)′	yqt)′	PROPN
ejpam-1847	172	2	exists	exist	VERB
ejpam-1847	172	3	and	and	CCONJ
ejpam-1847	172	4	is	be	AUX
ejpam-1847	172	5	represented	represent	VERB
ejpam-1847	172	6	by	by	ADP
ejpam-1847	172	7	v0	v0	PROPN
ejpam-1847	172	8	,	,	PUNCT
ejpam-1847	172	9	where	where	SCONJ
ejpam-1847	172	10	v0	v0	NOUN
ejpam-1847	172	11	=	=	SYM
ejpam-1847	172	12	(	(	PUNCT
ejpam-1847	172	13	v01	v01	PROPN
ejpam-1847	172	14	.	.	PUNCT
ejpam-1847	172	15	.	.	PUNCT
ejpam-1847	172	16	.	.	PUNCT
ejpam-1847	173	1	v0p	v0p	X
ejpam-1847	173	2	)	)	PUNCT
ejpam-1847	173	3	and	and	CCONJ
ejpam-1847	173	4	v0i	v0i	VERB
ejpam-1847	173	5	=	=	SYM
ejpam-1847	173	6	(	(	PUNCT
ejpam-1847	173	7	v0i	v0i	PROPN
ejpam-1847	173	8	,	,	PUNCT
ejpam-1847	173	9	jk	jk	PROPN
ejpam-1847	173	10	)	)	PUNCT
ejpam-1847	173	11	.	.	PUNCT
ejpam-1847	174	1	also	also	ADV
ejpam-1847	174	2	the	the	DET
ejpam-1847	174	3	true	true	ADJ
ejpam-1847	174	4	values	value	NOUN
ejpam-1847	174	5	of	of	ADP
ejpam-1847	174	6	the	the	DET
ejpam-1847	174	7	coefficients	coefficient	NOUN
ejpam-1847	174	8	in	in	ADP
ejpam-1847	174	9	(	(	PUNCT
ejpam-1847	174	10	φ1	φ1	NOUN
ejpam-1847	174	11	.	.	PUNCT
ejpam-1847	174	12	.	.	PUNCT
ejpam-1847	174	13	.φp	.φp	NUM
ejpam-1847	174	14	)	)	PUNCT
ejpam-1847	175	1	corresponding	correspond	VERB
ejpam-1847	175	2	to	to	ADP
ejpam-1847	175	3	the	the	DET
ejpam-1847	175	4	nonzero	nonzero	PROPN
ejpam-1847	175	5	components	component	NOUN
ejpam-1847	175	6	of	of	ADP
ejpam-1847	175	7	v0	v0	NOUN
ejpam-1847	175	8	do	do	AUX
ejpam-1847	175	9	not	not	PART
ejpam-1847	175	10	equal	equal	VERB
ejpam-1847	175	11	0	0	PUNCT
ejpam-1847	175	12	whereas	whereas	SCONJ
ejpam-1847	175	13	the	the	DET
ejpam-1847	175	14	other	other	ADJ
ejpam-1847	175	15	coefficients	coefficient	NOUN
ejpam-1847	175	16	equal	equal	ADJ
ejpam-1847	175	17	0	0	X
ejpam-1847	175	18	.	.	PUNCT
ejpam-1847	176	1	then	then	ADV
ejpam-1847	176	2	all	all	DET
ejpam-1847	176	3	the	the	DET
ejpam-1847	176	4	2pq2	2pq2	NUM
ejpam-1847	176	5	candidate	candidate	NOUN
ejpam-1847	176	6	models	model	NOUN
ejpam-1847	176	7	of	of	ADP
ejpam-1847	176	8	the	the	DET
ejpam-1847	176	9	form	form	NOUN
ejpam-1847	176	10	v	v	NOUN
ejpam-1847	176	11	can	can	AUX
ejpam-1847	176	12	be	be	AUX
ejpam-1847	176	13	classified	classify	VERB
ejpam-1847	176	14	into	into	ADP
ejpam-1847	176	15	two	two	NUM
ejpam-1847	176	16	groups	group	NOUN
ejpam-1847	176	17	:	:	PUNCT
ejpam-1847	176	18	m1	m1	PROPN
ejpam-1847	176	19	=	=	PROPN
ejpam-1847	176	20	{	{	PUNCT
ejpam-1847	176	21	v	v	NUM
ejpam-1847	176	22	≥	≥	NOUN
ejpam-1847	176	23	vo	vo	NOUN
ejpam-1847	176	24	,	,	PUNCT
ejpam-1847	176	25	i.e.	i.e.	X
ejpam-1847	176	26	vi	vi	X
ejpam-1847	176	27	,	,	PUNCT
ejpam-1847	176	28	jk	jk	PROPN
ejpam-1847	176	29	≥	≥	NUM
ejpam-1847	176	30	voi	voi	PROPN
ejpam-1847	176	31	,	,	PUNCT
ejpam-1847	176	32	jk	jk	PROPN
ejpam-1847	176	33	for	for	ADP
ejpam-1847	176	34	all	all	DET
ejpam-1847	176	35	i	i	PROPN
ejpam-1847	176	36	,	,	PUNCT
ejpam-1847	176	37	j	j	PROPN
ejpam-1847	176	38	,	,	PUNCT
ejpam-1847	176	39	k	k	PROPN
ejpam-1847	176	40	}	}	PUNCT
ejpam-1847	176	41	m2	m2	PROPN
ejpam-1847	176	42	=	=	PRON
ejpam-1847	176	43	{	{	PUNCT
ejpam-1847	176	44	(	(	PUNCT
ejpam-1847	176	45	v	v	NOUN
ejpam-1847	176	46	6≥	6≥	NUM
ejpam-1847	176	47	vo	vo	NOUN
ejpam-1847	176	48	,	,	PUNCT
ejpam-1847	176	49	i.e.	i.e.	X
ejpam-1847	176	50	vi	vi	X
ejpam-1847	176	51	,	,	PUNCT
ejpam-1847	176	52	jk	jk	X
ejpam-1847	176	53	<	<	X
ejpam-1847	176	54	voi	voi	PROPN
ejpam-1847	176	55	,	,	PUNCT
ejpam-1847	176	56	jk	jk	PROPN
ejpam-1847	176	57	for	for	ADP
ejpam-1847	176	58	some	some	DET
ejpam-1847	176	59	i	i	PROPN
ejpam-1847	176	60	,	,	PUNCT
ejpam-1847	176	61	j	j	PROPN
ejpam-1847	176	62	,	,	PUNCT
ejpam-1847	176	63	k	k	NOUN
ejpam-1847	176	64	}	}	PUNCT
ejpam-1847	176	65	it	it	PRON
ejpam-1847	176	66	is	be	AUX
ejpam-1847	176	67	easy	easy	ADJ
ejpam-1847	176	68	to	to	PART
ejpam-1847	176	69	see	see	VERB
ejpam-1847	176	70	that	that	SCONJ
ejpam-1847	176	71	any	any	DET
ejpam-1847	176	72	model	model	NOUN
ejpam-1847	176	73	in	in	ADP
ejpam-1847	176	74	m1	m1	PROPN
ejpam-1847	176	75	contains	contain	VERB
ejpam-1847	176	76	at	at	ADP
ejpam-1847	176	77	least	least	ADJ
ejpam-1847	176	78	all	all	PRON
ejpam-1847	176	79	non	non	ADJ
ejpam-1847	176	80	-	-	ADJ
ejpam-1847	176	81	zero	zero	NUM
ejpam-1847	176	82	var	var	NOUN
ejpam-1847	176	83	coefficients	coefficient	NOUN
ejpam-1847	176	84	of	of	ADP
ejpam-1847	176	85	the	the	DET
ejpam-1847	176	86	true	true	ADJ
ejpam-1847	176	87	model	model	NOUN
ejpam-1847	176	88	,	,	PUNCT
ejpam-1847	176	89	whereas	whereas	SCONJ
ejpam-1847	176	90	any	any	DET
ejpam-1847	176	91	model	model	NOUN
ejpam-1847	176	92	inm2	inm2	NOUN
ejpam-1847	176	93	misses	miss	VERB
ejpam-1847	176	94	at	at	ADV
ejpam-1847	176	95	least	least	ADV
ejpam-1847	176	96	one	one	NUM
ejpam-1847	176	97	non	non	ADJ
ejpam-1847	176	98	-	-	ADJ
ejpam-1847	176	99	zero	zero	NUM
ejpam-1847	176	100	var	var	NOUN
ejpam-1847	176	101	coefficient	coefficient	NOUN
ejpam-1847	176	102	of	of	ADP
ejpam-1847	176	103	the	the	DET
ejpam-1847	176	104	true	true	ADJ
ejpam-1847	176	105	model	model	NOUN
ejpam-1847	176	106	.	.	PUNCT
ejpam-1847	177	1	note	note	VERB
ejpam-1847	177	2	that	that	SCONJ
ejpam-1847	177	3	it	it	PRON
ejpam-1847	177	4	is	be	AUX
ejpam-1847	177	5	reasonable	reasonable	ADJ
ejpam-1847	177	6	to	to	PART
ejpam-1847	177	7	assume	assume	VERB
ejpam-1847	177	8	that	that	SCONJ
ejpam-1847	177	9	the	the	DET
ejpam-1847	177	10	true	true	ADJ
ejpam-1847	177	11	model	model	NOUN
ejpam-1847	177	12	is	be	AUX
ejpam-1847	177	13	unique	unique	ADJ
ejpam-1847	177	14	.	.	PUNCT
ejpam-1847	178	1	then	then	ADV
ejpam-1847	178	2	any	any	DET
ejpam-1847	178	3	candidate	candidate	NOUN
ejpam-1847	178	4	model	model	NOUN
ejpam-1847	178	5	inm1	inm1	PROPN
ejpam-1847	178	6	shall	shall	AUX
ejpam-1847	178	7	be	be	AUX
ejpam-1847	178	8	a	a	DET
ejpam-1847	178	9	correct	correct	ADJ
ejpam-1847	178	10	model	model	NOUN
ejpam-1847	178	11	and	and	CCONJ
ejpam-1847	178	12	provides	provide	VERB
ejpam-1847	178	13	a	a	DET
ejpam-1847	178	14	valid	valid	ADJ
ejpam-1847	178	15	basis	basis	NOUN
ejpam-1847	178	16	for	for	ADP
ejpam-1847	178	17	statistical	statistical	ADJ
ejpam-1847	178	18	analysis	analysis	NOUN
ejpam-1847	178	19	.	.	PUNCT
ejpam-1847	179	1	this	this	PRON
ejpam-1847	179	2	however	however	ADV
ejpam-1847	179	3	is	be	AUX
ejpam-1847	179	4	not	not	PART
ejpam-1847	179	5	true	true	ADJ
ejpam-1847	179	6	for	for	ADP
ejpam-1847	179	7	any	any	DET
ejpam-1847	179	8	model	model	NOUN
ejpam-1847	179	9	in	in	ADP
ejpam-1847	179	10	m2	m2	PROPN
ejpam-1847	179	11	.	.	PROPN
ejpam-1847	180	1	on	on	ADP
ejpam-1847	180	2	the	the	DET
ejpam-1847	180	3	other	other	ADJ
ejpam-1847	180	4	hand	hand	NOUN
ejpam-1847	180	5	,	,	PUNCT
ejpam-1847	180	6	a	a	DET
ejpam-1847	180	7	correct	correct	ADJ
ejpam-1847	180	8	model	model	NOUN
ejpam-1847	180	9	in	in	ADP
ejpam-1847	180	10	m1	m1	PROPN
ejpam-1847	180	11	may	may	AUX
ejpam-1847	180	12	contain	contain	VERB
ejpam-1847	180	13	redundant	redundant	ADJ
ejpam-1847	180	14	coefficients	coefficient	NOUN
ejpam-1847	180	15	that	that	PRON
ejpam-1847	180	16	are	be	AUX
ejpam-1847	180	17	not	not	PART
ejpam-1847	180	18	included	include	VERB
ejpam-1847	180	19	in	in	ADP
ejpam-1847	180	20	the	the	DET
ejpam-1847	180	21	true	true	ADJ
ejpam-1847	180	22	model	model	NOUN
ejpam-1847	180	23	.	.	PUNCT
ejpam-1847	181	1	therefore	therefore	ADV
ejpam-1847	181	2	,	,	PUNCT
ejpam-1847	181	3	with	with	ADP
ejpam-1847	181	4	many	many	ADJ
ejpam-1847	181	5	candidate	candidate	NOUN
ejpam-1847	181	6	models	model	NOUN
ejpam-1847	181	7	available	available	ADJ
ejpam-1847	181	8	it	it	PRON
ejpam-1847	181	9	is	be	AUX
ejpam-1847	181	10	necessary	necessary	ADJ
ejpam-1847	181	11	to	to	PART
ejpam-1847	181	12	apply	apply	VERB
ejpam-1847	181	13	a	a	DET
ejpam-1847	181	14	model	model	NOUN
ejpam-1847	181	15	selection	selection	NOUN
ejpam-1847	181	16	criterion	criterion	NOUN
ejpam-1847	181	17	to	to	PART
ejpam-1847	181	18	find	find	VERB
ejpam-1847	181	19	the	the	DET
ejpam-1847	181	20	valid	valid	ADJ
ejpam-1847	181	21	and	and	CCONJ
ejpam-1847	181	22	simple	simple	ADJ
ejpam-1847	181	23	models	model	NOUN
ejpam-1847	181	24	.	.	PUNCT
ejpam-1847	182	1	4.2	4.2	NUM
ejpam-1847	182	2	.	.	PUNCT
ejpam-1847	182	3	model	model	NOUN
ejpam-1847	182	4	selection	selection	NOUN
ejpam-1847	182	5	based	base	VERB
ejpam-1847	182	6	on	on	ADP
ejpam-1847	182	7	random	random	ADJ
ejpam-1847	182	8	sampling	sampling	NOUN
ejpam-1847	182	9	note	note	NOUN
ejpam-1847	182	10	that	that	SCONJ
ejpam-1847	182	11	for	for	ADP
ejpam-1847	182	12	a	a	DET
ejpam-1847	182	13	certain	certain	ADJ
ejpam-1847	182	14	var	var	NOUN
ejpam-1847	182	15	model	model	NOUN
ejpam-1847	182	16	most	most	ADJ
ejpam-1847	182	17	of	of	ADP
ejpam-1847	182	18	the	the	DET
ejpam-1847	182	19	model	model	NOUN
ejpam-1847	182	20	selection	selection	NOUN
ejpam-1847	182	21	criteria	criterion	NOUN
ejpam-1847	182	22	such	such	ADJ
ejpam-1847	182	23	as	as	ADP
ejpam-1847	182	24	aic	aic	PROPN
ejpam-1847	182	25	,	,	PUNCT
ejpam-1847	182	26	bic	bic	PROPN
ejpam-1847	182	27	,	,	PUNCT
ejpam-1847	182	28	aicc	aicc	NOUN
ejpam-1847	182	29	and	and	CCONJ
ejpam-1847	182	30	hq	hq	NOUN
ejpam-1847	182	31	have	have	AUX
ejpam-1847	182	32	the	the	DET
ejpam-1847	182	33	same	same	ADJ
ejpam-1847	182	34	form	form	NOUN
ejpam-1847	182	35	vmsc=−max	vmsc=−max	NOUN
ejpam-1847	182	36	log(likelihood	log(likelihood	NOUN
ejpam-1847	182	37	)	)	PUNCT
ejpam-1847	183	1	+	+	NUM
ejpam-1847	183	2	penalty	penalty	NOUN
ejpam-1847	183	3	term	term	NOUN
ejpam-1847	183	4	,	,	PUNCT
ejpam-1847	183	5	which	which	PRON
ejpam-1847	183	6	can	can	AUX
ejpam-1847	183	7	be	be	AUX
ejpam-1847	183	8	specified	specify	VERB
ejpam-1847	183	9	as	as	ADP
ejpam-1847	183	10	s(v	s(v	PROPN
ejpam-1847	183	11	)	)	PUNCT
ejpam-1847	184	1	=	=	PRON
ejpam-1847	184	2	log	log	NOUN
ejpam-1847	184	3	|σ̂v	|σ̂v	NUM
ejpam-1847	184	4	|+	|+	X
ejpam-1847	184	5	c(nv	c(nv	PROPN
ejpam-1847	184	6	)	)	PUNCT
ejpam-1847	184	7	,	,	PUNCT
ejpam-1847	184	8	where	where	SCONJ
ejpam-1847	184	9	nv	nv	PROPN
ejpam-1847	184	10	is	be	AUX
ejpam-1847	184	11	the	the	DET
ejpam-1847	184	12	total	total	ADJ
ejpam-1847	184	13	number	number	NOUN
ejpam-1847	184	14	of	of	ADP
ejpam-1847	184	15	coefficients	coefficient	NOUN
ejpam-1847	184	16	estimated	estimate	VERB
ejpam-1847	184	17	in	in	ADP
ejpam-1847	184	18	all	all	DET
ejpam-1847	184	19	the	the	DET
ejpam-1847	184	20	equations	equation	NOUN
ejpam-1847	184	21	in	in	ADP
ejpam-1847	184	22	model	model	NOUN
ejpam-1847	184	23	v	v	NOUN
ejpam-1847	184	24	and	and	CCONJ
ejpam-1847	184	25	c(nv	c(nv	PROPN
ejpam-1847	184	26	)	)	PUNCT
ejpam-1847	184	27	denotes	denote	VERB
ejpam-1847	184	28	the	the	DET
ejpam-1847	184	29	penalty	penalty	NOUN
ejpam-1847	184	30	term	term	NOUN
ejpam-1847	184	31	which	which	PRON
ejpam-1847	184	32	varies	vary	VERB
ejpam-1847	184	33	for	for	ADP
ejpam-1847	184	34	different	different	ADJ
ejpam-1847	184	35	model	model	NOUN
ejpam-1847	184	36	selection	selection	NOUN
ejpam-1847	184	37	methods	method	NOUN
ejpam-1847	184	38	;	;	PUNCT
ejpam-1847	184	39	and	and	CCONJ
ejpam-1847	184	40	for	for	ADP
ejpam-1847	184	41	each	each	DET
ejpam-1847	184	42	model	model	NOUN
ejpam-1847	184	43	selection	selection	NOUN
ejpam-1847	184	44	method	method	NOUN
ejpam-1847	184	45	the	the	DET
ejpam-1847	184	46	best	good	ADJ
ejpam-1847	184	47	model	model	NOUN
ejpam-1847	184	48	v	v	ADP
ejpam-1847	184	49	∗	∗	NOUN
ejpam-1847	184	50	which	which	PRON
ejpam-1847	184	51	minimizes	minimize	VERB
ejpam-1847	184	52	the	the	DET
ejpam-1847	184	53	corresponding	corresponding	ADJ
ejpam-1847	184	54	selection	selection	NOUN
ejpam-1847	184	55	criterion	criterion	NOUN
ejpam-1847	184	56	should	should	AUX
ejpam-1847	184	57	be	be	AUX
ejpam-1847	184	58	selected	select	VERB
ejpam-1847	184	59	.	.	PUNCT
ejpam-1847	185	1	in	in	ADP
ejpam-1847	185	2	order	order	NOUN
ejpam-1847	185	3	to	to	PART
ejpam-1847	185	4	find	find	VERB
ejpam-1847	185	5	the	the	DET
ejpam-1847	185	6	best	good	ADJ
ejpam-1847	185	7	model	model	NOUN
ejpam-1847	185	8	,	,	PUNCT
ejpam-1847	185	9	we	we	PRON
ejpam-1847	185	10	define	define	VERB
ejpam-1847	185	11	a	a	DET
ejpam-1847	185	12	probability	probability	NOUN
ejpam-1847	185	13	distribution	distribution	NOUN
ejpam-1847	185	14	for	for	ADP
ejpam-1847	185	15	v	v	NOUN
ejpam-1847	185	16	onm	onm	NOUN
ejpam-1847	185	17	=	=	NOUN
ejpam-1847	185	18	m1∪m2	m1∪m2	PROPN
ejpam-1847	185	19	with	with	ADP
ejpam-1847	185	20	pvscλ(v	pvscλ(v	PROPN
ejpam-1847	185	21	)	)	PUNCT
ejpam-1847	185	22	=	=	SYM
ejpam-1847	185	23	exp(−λvmsc(v	exp(−λvmsc(v	NOUN
ejpam-1847	185	24	)	)	PUNCT
ejpam-1847	185	25	)	)	PUNCT
ejpam-1847	185	26	∑	∑	PUNCT
ejpam-1847	185	27	v∈m	v∈m	NOUN
ejpam-1847	185	28	exp(−λvmsc(v	exp(−λvmsc(v	NOUN
ejpam-1847	185	29	)	)	PUNCT
ejpam-1847	185	30	)	)	PUNCT
ejpam-1847	185	31	x.zhao	x.zhao	PROPN
ejpam-1847	185	32	,	,	PUNCT
ejpam-1847	185	33	g.	g.	PROPN
ejpam-1847	185	34	qian	qian	PROPN
ejpam-1847	185	35	/	/	SYM
ejpam-1847	185	36	eur	eur	PROPN
ejpam-1847	185	37	.	.	PUNCT
ejpam-1847	186	1	j.	j.	PROPN
ejpam-1847	186	2	pure	pure	PROPN
ejpam-1847	186	3	appl	appl	PROPN
ejpam-1847	186	4	.	.	PROPN
ejpam-1847	186	5	math	math	PROPN
ejpam-1847	186	6	,	,	PUNCT
ejpam-1847	186	7	7	7	NUM
ejpam-1847	186	8	(	(	PUNCT
ejpam-1847	186	9	2014	2014	NUM
ejpam-1847	186	10	)	)	PUNCT
ejpam-1847	186	11	,	,	PUNCT
ejpam-1847	186	12	1	1	NUM
ejpam-1847	186	13	-	-	SYM
ejpam-1847	186	14	21	21	NUM
ejpam-1847	186	15	8	8	NUM
ejpam-1847	186	16	where	where	SCONJ
ejpam-1847	186	17	λ	λ	X
ejpam-1847	186	18	>	>	X
ejpam-1847	186	19	0	0	NUM
ejpam-1847	186	20	is	be	AUX
ejpam-1847	186	21	a	a	DET
ejpam-1847	186	22	tuning	tuning	NOUN
ejpam-1847	186	23	parameter	parameter	NOUN
ejpam-1847	186	24	.	.	PUNCT
ejpam-1847	187	1	it	it	PRON
ejpam-1847	187	2	is	be	AUX
ejpam-1847	187	3	easy	easy	ADJ
ejpam-1847	187	4	to	to	PART
ejpam-1847	187	5	see	see	VERB
ejpam-1847	187	6	that	that	DET
ejpam-1847	187	7	pvscλ	pvscλ	NOUN
ejpam-1847	187	8	is	be	AUX
ejpam-1847	187	9	a	a	DET
ejpam-1847	187	10	probability	probability	NOUN
ejpam-1847	187	11	mass	mass	NOUN
ejpam-1847	187	12	function	function	NOUN
ejpam-1847	187	13	defined	define	VERB
ejpam-1847	187	14	on	on	ADP
ejpam-1847	187	15	the	the	DET
ejpam-1847	187	16	set	set	NOUN
ejpam-1847	187	17	of	of	ADP
ejpam-1847	187	18	vmsc	vmsc	NOUN
ejpam-1847	187	19	values	value	NOUN
ejpam-1847	187	20	of	of	ADP
ejpam-1847	187	21	the	the	DET
ejpam-1847	187	22	2pq2	2pq2	NUM
ejpam-1847	187	23	candidate	candidate	NOUN
ejpam-1847	187	24	models	model	NOUN
ejpam-1847	187	25	for	for	ADP
ejpam-1847	187	26	the	the	DET
ejpam-1847	187	27	given	give	VERB
ejpam-1847	187	28	data	datum	NOUN
ejpam-1847	187	29	yt	yt	NOUN
ejpam-1847	187	30	=	=	SYM
ejpam-1847	187	31	(	(	PUNCT
ejpam-1847	187	32	y1	y1	INTJ
ejpam-1847	187	33	t	t	PROPN
ejpam-1847	187	34	,	,	PUNCT
ejpam-1847	187	35	y2	y2	PROPN
ejpam-1847	187	36	t	t	PROPN
ejpam-1847	187	37	.	.	PUNCT
ejpam-1847	187	38	.	.	PUNCT
ejpam-1847	187	39	.	.	PUNCT
ejpam-1847	188	1	yqt)′.	yqt)′.	NOUN
ejpam-1847	188	2	equivalently	equivalently	ADV
ejpam-1847	188	3	,	,	PUNCT
ejpam-1847	188	4	pvscλ	pvscλ	NOUN
ejpam-1847	188	5	can	can	AUX
ejpam-1847	188	6	be	be	AUX
ejpam-1847	188	7	regarded	regard	VERB
ejpam-1847	188	8	as	as	ADP
ejpam-1847	188	9	the	the	DET
ejpam-1847	188	10	probability	probability	NOUN
ejpam-1847	188	11	mass	mass	NOUN
ejpam-1847	188	12	function	function	NOUN
ejpam-1847	188	13	for	for	ADP
ejpam-1847	188	14	a	a	DET
ejpam-1847	188	15	q	q	ADJ
ejpam-1847	188	16	×	×	NOUN
ejpam-1847	188	17	pq	pq	INTJ
ejpam-1847	188	18	dimensional	dimensional	ADJ
ejpam-1847	188	19	discrete	discrete	ADJ
ejpam-1847	188	20	random	random	ADJ
ejpam-1847	188	21	matrix	matrix	NOUN
ejpam-1847	188	22	v	v	NOUN
ejpam-1847	188	23	defined	define	VERB
ejpam-1847	188	24	on	on	ADP
ejpam-1847	188	25	m1	m1	PROPN
ejpam-1847	188	26	∪m2	∪m2	PROPN
ejpam-1847	188	27	=	=	SYM
ejpam-1847	188	28	{	{	PUNCT
ejpam-1847	188	29	0,1}q×pq	0,1}q×pq	NOUN
ejpam-1847	188	30	.	.	PUNCT
ejpam-1847	189	1	by	by	ADP
ejpam-1847	189	2	its	its	PRON
ejpam-1847	189	3	definition	definition	NOUN
ejpam-1847	189	4	pvscλ	pvscλ	NOUN
ejpam-1847	189	5	has	have	VERB
ejpam-1847	189	6	the	the	DET
ejpam-1847	189	7	highest	high	ADJ
ejpam-1847	189	8	probability	probability	NOUN
ejpam-1847	189	9	at	at	ADP
ejpam-1847	189	10	the	the	DET
ejpam-1847	189	11	best	good	ADJ
ejpam-1847	189	12	model	model	NOUN
ejpam-1847	189	13	v	v	ADP
ejpam-1847	189	14	∗.	∗.	PROPN
ejpam-1847	189	15	also	also	ADV
ejpam-1847	189	16	those	those	DET
ejpam-1847	189	17	candidate	candidate	NOUN
ejpam-1847	189	18	models	model	NOUN
ejpam-1847	189	19	that	that	PRON
ejpam-1847	189	20	have	have	VERB
ejpam-1847	189	21	relatively	relatively	ADV
ejpam-1847	189	22	small	small	ADJ
ejpam-1847	189	23	vmsc	vmsc	NOUN
ejpam-1847	189	24	values	value	NOUN
ejpam-1847	189	25	will	will	AUX
ejpam-1847	189	26	have	have	VERB
ejpam-1847	189	27	relatively	relatively	ADV
ejpam-1847	189	28	large	large	ADJ
ejpam-1847	189	29	probabilities	probability	NOUN
ejpam-1847	189	30	.	.	PUNCT
ejpam-1847	190	1	thus	thus	ADV
ejpam-1847	190	2	,	,	PUNCT
ejpam-1847	190	3	when	when	SCONJ
ejpam-1847	190	4	generating	generate	VERB
ejpam-1847	190	5	a	a	DET
ejpam-1847	190	6	random	random	ADJ
ejpam-1847	190	7	sample	sample	NOUN
ejpam-1847	190	8	,	,	PUNCT
ejpam-1847	190	9	which	which	PRON
ejpam-1847	190	10	is	be	AUX
ejpam-1847	190	11	also	also	ADV
ejpam-1847	190	12	a	a	DET
ejpam-1847	190	13	sequence	sequence	NOUN
ejpam-1847	190	14	of	of	ADP
ejpam-1847	190	15	models	model	NOUN
ejpam-1847	190	16	,	,	PUNCT
ejpam-1847	190	17	from	from	ADP
ejpam-1847	190	18	the	the	DET
ejpam-1847	190	19	distribution	distribution	NOUN
ejpam-1847	190	20	determined	determine	VERB
ejpam-1847	190	21	by	by	ADP
ejpam-1847	190	22	pvscλ	pvscλ	NOUN
ejpam-1847	190	23	,	,	PUNCT
ejpam-1847	190	24	the	the	DET
ejpam-1847	190	25	models	model	NOUN
ejpam-1847	190	26	having	have	VERB
ejpam-1847	190	27	relatively	relatively	ADV
ejpam-1847	190	28	small	small	ADJ
ejpam-1847	190	29	vmsc	vmsc	NOUN
ejpam-1847	190	30	values	value	NOUN
ejpam-1847	190	31	are	be	AUX
ejpam-1847	190	32	more	more	ADV
ejpam-1847	190	33	likely	likely	ADJ
ejpam-1847	190	34	to	to	PART
ejpam-1847	190	35	be	be	AUX
ejpam-1847	190	36	generated	generate	VERB
ejpam-1847	190	37	and	and	CCONJ
ejpam-1847	190	38	tend	tend	VERB
ejpam-1847	190	39	to	to	PART
ejpam-1847	190	40	be	be	AUX
ejpam-1847	190	41	among	among	ADP
ejpam-1847	190	42	the	the	DET
ejpam-1847	190	43	models	model	NOUN
ejpam-1847	190	44	generated	generate	VERB
ejpam-1847	190	45	earlier	early	ADV
ejpam-1847	190	46	and	and	CCONJ
ejpam-1847	190	47	more	more	ADV
ejpam-1847	190	48	frequently	frequently	ADV
ejpam-1847	190	49	than	than	ADP
ejpam-1847	190	50	those	those	DET
ejpam-1847	190	51	models	model	NOUN
ejpam-1847	190	52	having	have	VERB
ejpam-1847	190	53	relatively	relatively	ADV
ejpam-1847	190	54	high	high	ADJ
ejpam-1847	190	55	vmsc	vmsc	NOUN
ejpam-1847	190	56	values	value	NOUN
ejpam-1847	190	57	.	.	PUNCT
ejpam-1847	191	1	therefore	therefore	ADV
ejpam-1847	191	2	,	,	PUNCT
ejpam-1847	191	3	if	if	SCONJ
ejpam-1847	191	4	the	the	DET
ejpam-1847	191	5	size	size	NOUN
ejpam-1847	191	6	of	of	ADP
ejpam-1847	191	7	the	the	DET
ejpam-1847	191	8	generated	generate	VERB
ejpam-1847	191	9	sample	sample	NOUN
ejpam-1847	191	10	is	be	AUX
ejpam-1847	191	11	sufficiently	sufficiently	ADV
ejpam-1847	191	12	large	large	ADJ
ejpam-1847	191	13	,	,	PUNCT
ejpam-1847	191	14	the	the	DET
ejpam-1847	191	15	model	model	NOUN
ejpam-1847	191	16	having	have	VERB
ejpam-1847	191	17	the	the	DET
ejpam-1847	191	18	smallest	small	ADJ
ejpam-1847	191	19	vmsc	vmsc	NOUN
ejpam-1847	191	20	value	value	NOUN
ejpam-1847	191	21	in	in	ADP
ejpam-1847	191	22	the	the	DET
ejpam-1847	191	23	sample	sample	NOUN
ejpam-1847	191	24	would	would	AUX
ejpam-1847	191	25	converge	converge	VERB
ejpam-1847	191	26	to	to	ADP
ejpam-1847	191	27	the	the	DET
ejpam-1847	191	28	best	good	ADJ
ejpam-1847	191	29	model	model	NOUN
ejpam-1847	191	30	v	v	ADP
ejpam-1847	191	31	∗	∗	NOUN
ejpam-1847	191	32	with	with	ADP
ejpam-1847	191	33	probability	probability	NOUN
ejpam-1847	191	34	1	1	NUM
ejpam-1847	191	35	.	.	PUNCT
ejpam-1847	192	1	the	the	DET
ejpam-1847	192	2	above	above	ADJ
ejpam-1847	192	3	discussion	discussion	NOUN
ejpam-1847	192	4	suggests	suggest	VERB
ejpam-1847	192	5	two	two	NUM
ejpam-1847	192	6	ways	way	NOUN
ejpam-1847	192	7	of	of	ADP
ejpam-1847	192	8	performing	perform	VERB
ejpam-1847	192	9	model	model	NOUN
ejpam-1847	192	10	selection	selection	NOUN
ejpam-1847	192	11	based	base	VERB
ejpam-1847	192	12	on	on	ADP
ejpam-1847	192	13	a	a	DET
ejpam-1847	192	14	random	random	ADJ
ejpam-1847	192	15	sample	sample	NOUN
ejpam-1847	192	16	generated	generate	VERB
ejpam-1847	192	17	from	from	ADP
ejpam-1847	192	18	pvscλ	pvscλ	NOUN
ejpam-1847	192	19	:	:	PUNCT
ejpam-1847	192	20	estimating	estimate	VERB
ejpam-1847	192	21	the	the	DET
ejpam-1847	192	22	best	good	ADJ
ejpam-1847	192	23	model	model	NOUN
ejpam-1847	192	24	as	as	ADP
ejpam-1847	192	25	the	the	DET
ejpam-1847	192	26	one	one	NOUN
ejpam-1847	192	27	that	that	PRON
ejpam-1847	192	28	has	have	VERB
ejpam-1847	192	29	the	the	DET
ejpam-1847	192	30	smallest	small	ADJ
ejpam-1847	192	31	vmsc	vmsc	NOUN
ejpam-1847	192	32	value	value	NOUN
ejpam-1847	192	33	in	in	ADP
ejpam-1847	192	34	the	the	DET
ejpam-1847	192	35	sample	sample	NOUN
ejpam-1847	192	36	,	,	PUNCT
ejpam-1847	192	37	and	and	CCONJ
ejpam-1847	192	38	estimating	estimate	VERB
ejpam-1847	192	39	the	the	DET
ejpam-1847	192	40	best	good	ADJ
ejpam-1847	192	41	model	model	NOUN
ejpam-1847	192	42	as	as	ADP
ejpam-1847	192	43	the	the	DET
ejpam-1847	192	44	one	one	NOUN
ejpam-1847	192	45	that	that	PRON
ejpam-1847	192	46	appears	appear	VERB
ejpam-1847	192	47	most	most	ADV
ejpam-1847	192	48	frequently	frequently	ADV
ejpam-1847	192	49	in	in	ADP
ejpam-1847	192	50	the	the	DET
ejpam-1847	192	51	sample	sample	NOUN
ejpam-1847	192	52	.	.	PUNCT
ejpam-1847	193	1	we	we	PRON
ejpam-1847	193	2	can	can	AUX
ejpam-1847	193	3	certainly	certainly	ADV
ejpam-1847	193	4	apply	apply	VERB
ejpam-1847	193	5	these	these	DET
ejpam-1847	193	6	two	two	NUM
ejpam-1847	193	7	ways	way	NOUN
ejpam-1847	193	8	to	to	PART
ejpam-1847	193	9	perform	perform	VERB
ejpam-1847	193	10	the	the	DET
ejpam-1847	193	11	model	model	NOUN
ejpam-1847	193	12	selection	selection	NOUN
ejpam-1847	193	13	,	,	PUNCT
ejpam-1847	193	14	however	however	ADV
ejpam-1847	193	15	,	,	PUNCT
ejpam-1847	193	16	in	in	ADP
ejpam-1847	193	17	this	this	DET
ejpam-1847	193	18	paper	paper	NOUN
ejpam-1847	193	19	we	we	PRON
ejpam-1847	193	20	will	will	AUX
ejpam-1847	193	21	propose	propose	VERB
ejpam-1847	193	22	another	another	DET
ejpam-1847	193	23	more	more	ADV
ejpam-1847	193	24	efficient	efficient	ADJ
ejpam-1847	193	25	method	method	NOUN
ejpam-1847	193	26	.	.	PUNCT
ejpam-1847	194	1	now	now	ADV
ejpam-1847	194	2	consider	consider	VERB
ejpam-1847	194	3	the	the	DET
ejpam-1847	194	4	marginal	marginal	ADJ
ejpam-1847	194	5	distribution	distribution	NOUN
ejpam-1847	194	6	of	of	ADP
ejpam-1847	194	7	an	an	DET
ejpam-1847	194	8	individual	individual	ADJ
ejpam-1847	194	9	component	component	NOUN
ejpam-1847	194	10	of	of	ADP
ejpam-1847	194	11	v	v	NUM
ejpam-1847	194	12	which	which	PRON
ejpam-1847	194	13	clearly	clearly	ADV
ejpam-1847	194	14	is	be	AUX
ejpam-1847	194	15	a	a	DET
ejpam-1847	194	16	bernoulli	bernoulli	NOUN
ejpam-1847	194	17	distribution	distribution	NOUN
ejpam-1847	194	18	.	.	PUNCT
ejpam-1847	195	1	the	the	DET
ejpam-1847	195	2	probability	probability	NOUN
ejpam-1847	195	3	of	of	ADP
ejpam-1847	195	4	“	"	PUNCT
ejpam-1847	195	5	success	success	NOUN
ejpam-1847	195	6	”	"	PUNCT
ejpam-1847	195	7	in	in	ADP
ejpam-1847	195	8	this	this	DET
ejpam-1847	195	9	marginal	marginal	ADJ
ejpam-1847	195	10	distribution	distribution	NOUN
ejpam-1847	195	11	is	be	AUX
ejpam-1847	195	12	likely	likely	ADJ
ejpam-1847	195	13	to	to	PART
ejpam-1847	195	14	be	be	AUX
ejpam-1847	195	15	small	small	ADJ
ejpam-1847	195	16	if	if	SCONJ
ejpam-1847	195	17	the	the	DET
ejpam-1847	195	18	corresponding	corresponding	ADJ
ejpam-1847	195	19	component	component	NOUN
ejpam-1847	195	20	of	of	ADP
ejpam-1847	195	21	v	v	NOUN
ejpam-1847	195	22	equals	equal	VERB
ejpam-1847	195	23	0	0	NUM
ejpam-1847	195	24	at	at	ADP
ejpam-1847	195	25	v	v	NUM
ejpam-1847	195	26	∗	∗	NOUN
ejpam-1847	195	27	,	,	PUNCT
ejpam-1847	195	28	and	and	CCONJ
ejpam-1847	195	29	large	large	ADJ
ejpam-1847	195	30	otherwise	otherwise	ADV
ejpam-1847	195	31	.	.	PUNCT
ejpam-1847	196	1	the	the	DET
ejpam-1847	196	2	sampling	sample	VERB
ejpam-1847	196	3	marginal	marginal	ADJ
ejpam-1847	196	4	distributions	distribution	NOUN
ejpam-1847	196	5	based	base	VERB
ejpam-1847	196	6	on	on	ADP
ejpam-1847	196	7	the	the	DET
ejpam-1847	196	8	random	random	ADJ
ejpam-1847	196	9	sample	sample	NOUN
ejpam-1847	196	10	generated	generate	VERB
ejpam-1847	196	11	from	from	ADP
ejpam-1847	196	12	pvscλ	pvscλ	NOUN
ejpam-1847	196	13	will	will	AUX
ejpam-1847	196	14	also	also	ADV
ejpam-1847	196	15	have	have	VERB
ejpam-1847	196	16	this	this	DET
ejpam-1847	196	17	property	property	NOUN
ejpam-1847	196	18	,	,	PUNCT
ejpam-1847	196	19	if	if	SCONJ
ejpam-1847	196	20	the	the	DET
ejpam-1847	196	21	number	number	NOUN
ejpam-1847	196	22	of	of	ADP
ejpam-1847	196	23	the	the	DET
ejpam-1847	196	24	models	model	NOUN
ejpam-1847	196	25	generated	generate	VERB
ejpam-1847	196	26	is	be	AUX
ejpam-1847	196	27	large	large	ADJ
ejpam-1847	196	28	enough	enough	ADV
ejpam-1847	196	29	.	.	PUNCT
ejpam-1847	197	1	this	this	DET
ejpam-1847	197	2	discussion	discussion	NOUN
ejpam-1847	197	3	suggests	suggest	VERB
ejpam-1847	197	4	estimating	estimate	VERB
ejpam-1847	197	5	the	the	DET
ejpam-1847	197	6	best	good	ADJ
ejpam-1847	197	7	model	model	NOUN
ejpam-1847	197	8	as	as	ADP
ejpam-1847	197	9	the	the	DET
ejpam-1847	197	10	one	one	NOUN
ejpam-1847	197	11	whose	whose	DET
ejpam-1847	197	12	non	non	ADJ
ejpam-1847	197	13	-	-	ADJ
ejpam-1847	197	14	zero	zero	NUM
ejpam-1847	197	15	var	var	NOUN
ejpam-1847	197	16	indicator	indicator	NOUN
ejpam-1847	197	17	components	component	NOUN
ejpam-1847	197	18	are	be	AUX
ejpam-1847	197	19	composed	compose	VERB
ejpam-1847	197	20	by	by	ADP
ejpam-1847	197	21	those	those	DET
ejpam-1847	197	22	components	component	NOUN
ejpam-1847	197	23	that	that	PRON
ejpam-1847	197	24	have	have	VERB
ejpam-1847	197	25	large	large	ADJ
ejpam-1847	197	26	estimates	estimate	NOUN
ejpam-1847	197	27	of	of	ADP
ejpam-1847	197	28	the	the	DET
ejpam-1847	197	29	probability	probability	NOUN
ejpam-1847	197	30	of	of	ADP
ejpam-1847	197	31	“	"	PUNCT
ejpam-1847	197	32	success	success	NOUN
ejpam-1847	197	33	”	"	PUNCT
ejpam-1847	197	34	.	.	PUNCT
ejpam-1847	198	1	this	this	DET
ejpam-1847	198	2	model	model	NOUN
ejpam-1847	198	3	selection	selection	NOUN
ejpam-1847	198	4	procedures	procedure	NOUN
ejpam-1847	198	5	will	will	AUX
ejpam-1847	198	6	be	be	AUX
ejpam-1847	198	7	made	make	VERB
ejpam-1847	198	8	clear	clear	ADJ
ejpam-1847	198	9	after	after	SCONJ
ejpam-1847	198	10	we	we	PRON
ejpam-1847	198	11	explain	explain	VERB
ejpam-1847	198	12	how	how	SCONJ
ejpam-1847	198	13	a	a	DET
ejpam-1847	198	14	random	random	ADJ
ejpam-1847	198	15	sample	sample	NOUN
ejpam-1847	198	16	from	from	ADP
ejpam-1847	198	17	pvscλ	pvscλ	NOUN
ejpam-1847	198	18	can	can	AUX
ejpam-1847	198	19	be	be	AUX
ejpam-1847	198	20	generated	generate	VERB
ejpam-1847	198	21	in	in	ADP
ejpam-1847	198	22	the	the	DET
ejpam-1847	198	23	following	following	NOUN
ejpam-1847	198	24	.	.	PUNCT
ejpam-1847	199	1	4.3	4.3	NUM
ejpam-1847	199	2	.	.	PUNCT
ejpam-1847	200	1	a	a	DET
ejpam-1847	200	2	gibbs	gibbs	PROPN
ejpam-1847	200	3	sampler	sampler	NOUN
ejpam-1847	200	4	for	for	ADP
ejpam-1847	200	5	simulating	simulate	VERB
ejpam-1847	200	6	pvscλ	pvscλ	NOUN
ejpam-1847	200	7	in	in	ADP
ejpam-1847	200	8	section	section	NOUN
ejpam-1847	200	9	4.1	4.1	NUM
ejpam-1847	200	10	we	we	PRON
ejpam-1847	200	11	denote	denote	VERB
ejpam-1847	200	12	vi	vi	PROPN
ejpam-1847	200	13	,	,	PUNCT
ejpam-1847	200	14	jk	jk	PROPN
ejpam-1847	200	15	as	as	ADP
ejpam-1847	200	16	the	the	DET
ejpam-1847	200	17	(	(	PUNCT
ejpam-1847	200	18	j	j	NOUN
ejpam-1847	200	19	,	,	PUNCT
ejpam-1847	200	20	k)-th	k)-th	PROPN
ejpam-1847	200	21	indicator	indicator	NOUN
ejpam-1847	200	22	component	component	NOUN
ejpam-1847	200	23	of	of	ADP
ejpam-1847	200	24	the	the	DET
ejpam-1847	200	25	i	i	PROPN
ejpam-1847	200	26	-	-	PUNCT
ejpam-1847	200	27	th	th	X
ejpam-1847	200	28	sub	sub	NOUN
ejpam-1847	200	29	-	-	NOUN
ejpam-1847	200	30	matrix	matrix	NOUN
ejpam-1847	200	31	of	of	ADP
ejpam-1847	200	32	v	v	NOUN
ejpam-1847	200	33	.	.	PUNCT
ejpam-1847	201	1	for	for	ADP
ejpam-1847	201	2	convenience	convenience	NOUN
ejpam-1847	201	3	of	of	ADP
ejpam-1847	201	4	presentation	presentation	NOUN
ejpam-1847	201	5	,	,	PUNCT
ejpam-1847	201	6	here	here	ADV
ejpam-1847	201	7	we	we	PRON
ejpam-1847	201	8	denote	denote	VERB
ejpam-1847	201	9	v−(i	v−(i	ADJ
ejpam-1847	201	10	,	,	PUNCT
ejpam-1847	201	11	jk	jk	PROPN
ejpam-1847	201	12	)	)	PUNCT
ejpam-1847	201	13	as	as	ADP
ejpam-1847	201	14	the	the	DET
ejpam-1847	201	15	set	set	NOUN
ejpam-1847	201	16	of	of	ADP
ejpam-1847	201	17	other	other	ADJ
ejpam-1847	201	18	components	component	NOUN
ejpam-1847	201	19	of	of	ADP
ejpam-1847	201	20	v	v	NOUN
ejpam-1847	201	21	when	when	SCONJ
ejpam-1847	201	22	taking	take	VERB
ejpam-1847	201	23	away	away	ADV
ejpam-1847	201	24	vi	vi	PROPN
ejpam-1847	201	25	,	,	PUNCT
ejpam-1847	201	26	jk	jk	NOUN
ejpam-1847	201	27	from	from	ADP
ejpam-1847	201	28	v	v	NUM
ejpam-1847	201	29	.	.	PUNCT
ejpam-1847	202	1	it	it	PRON
ejpam-1847	202	2	is	be	AUX
ejpam-1847	202	3	easy	easy	ADJ
ejpam-1847	202	4	to	to	PART
ejpam-1847	202	5	see	see	VERB
ejpam-1847	202	6	that	that	SCONJ
ejpam-1847	202	7	the	the	DET
ejpam-1847	202	8	normalization	normalization	NOUN
ejpam-1847	202	9	constant	constant	ADJ
ejpam-1847	202	10	d	d	X
ejpam-1847	202	11	=	=	PUNCT
ejpam-1847	202	12	∑	∑	PROPN
ejpam-1847	202	13	v∈m1∪m2	v∈m1∪m2	ADJ
ejpam-1847	202	14	exp{−λvmsc(v	exp{−λvmsc(v	NOUN
ejpam-1847	202	15	)	)	PUNCT
ejpam-1847	202	16	}	}	PUNCT
ejpam-1847	202	17	in	in	ADP
ejpam-1847	202	18	the	the	DET
ejpam-1847	202	19	definition	definition	NOUN
ejpam-1847	202	20	of	of	ADP
ejpam-1847	202	21	pvscλ	pvscλ	NOUN
ejpam-1847	202	22	is	be	AUX
ejpam-1847	202	23	difficult	difficult	ADJ
ejpam-1847	202	24	to	to	PART
ejpam-1847	202	25	evaluate	evaluate	VERB
ejpam-1847	202	26	when	when	SCONJ
ejpam-1847	202	27	2pq2	2pq2	NUM
ejpam-1847	202	28	is	be	AUX
ejpam-1847	202	29	very	very	ADV
ejpam-1847	202	30	large	large	ADJ
ejpam-1847	202	31	.	.	PUNCT
ejpam-1847	203	1	on	on	ADP
ejpam-1847	203	2	the	the	DET
ejpam-1847	203	3	other	other	ADJ
ejpam-1847	203	4	hand	hand	NOUN
ejpam-1847	203	5	,	,	PUNCT
ejpam-1847	203	6	the	the	DET
ejpam-1847	203	7	conditional	conditional	ADJ
ejpam-1847	203	8	distribution	distribution	NOUN
ejpam-1847	203	9	of	of	ADP
ejpam-1847	203	10	vi	vi	PROPN
ejpam-1847	203	11	,	,	PUNCT
ejpam-1847	203	12	jk	jk	PROPN
ejpam-1847	203	13	given	give	VERB
ejpam-1847	203	14	v−(i	v−(i	PROPN
ejpam-1847	203	15	,	,	PUNCT
ejpam-1847	203	16	jk	jk	PROPN
ejpam-1847	203	17	)	)	PUNCT
ejpam-1847	203	18	is	be	AUX
ejpam-1847	203	19	bernoulli	bernoulli	PROPN
ejpam-1847	203	20	and	and	CCONJ
ejpam-1847	203	21	does	do	AUX
ejpam-1847	203	22	not	not	PART
ejpam-1847	203	23	involve	involve	VERB
ejpam-1847	203	24	d.	d.	NOUN
ejpam-1847	203	25	specifically	specifically	ADV
ejpam-1847	203	26	,	,	PUNCT
ejpam-1847	203	27	for	for	ADP
ejpam-1847	203	28	i	i	PROPN
ejpam-1847	203	29	=	=	NOUN
ejpam-1847	203	30	1	1	NUM
ejpam-1847	203	31	,	,	PUNCT
ejpam-1847	203	32	.	.	PUNCT
ejpam-1847	203	33	.	.	PUNCT
ejpam-1847	204	1	.	.	PUNCT
ejpam-1847	205	1	,	,	PUNCT
ejpam-1847	205	2	p	p	NOUN
ejpam-1847	205	3	and	and	CCONJ
ejpam-1847	205	4	j	j	PROPN
ejpam-1847	205	5	,	,	PUNCT
ejpam-1847	205	6	k	k	PROPN
ejpam-1847	205	7	=	=	SYM
ejpam-1847	205	8	1	1	NUM
ejpam-1847	205	9	,	,	PUNCT
ejpam-1847	205	10	.	.	PUNCT
ejpam-1847	205	11	.	.	PUNCT
ejpam-1847	206	1	.	.	PUNCT
ejpam-1847	207	1	,	,	PUNCT
ejpam-1847	207	2	q	q	X
ejpam-1847	207	3	pr{vi	pr{vi	PROPN
ejpam-1847	207	4	,	,	PUNCT
ejpam-1847	207	5	jk	jk	NOUN
ejpam-1847	207	6	=	=	SYM
ejpam-1847	207	7	1|v−(i	1|v−(i	NUM
ejpam-1847	207	8	,	,	PUNCT
ejpam-1847	207	9	jk)}=	jk)}=	ADJ
ejpam-1847	207	10	exp{−λvmsc(v	exp{−λvmsc(v	NOUN
ejpam-1847	207	11	)	)	PUNCT
ejpam-1847	208	1	|vi	|vi	NUM
ejpam-1847	208	2	,	,	PUNCT
ejpam-1847	208	3	jk=1	jk=1	NOUN
ejpam-1847	208	4	}	}	PUNCT
ejpam-1847	208	5	exp{−λvmsc(v	exp{−λvmsc(v	NOUN
ejpam-1847	208	6	)	)	PUNCT
ejpam-1847	208	7	|vi	|vi	NUM
ejpam-1847	208	8	,	,	PUNCT
ejpam-1847	208	9	jk=1}+	jk=1}+	NOUN
ejpam-1847	208	10	exp{−λvmsc(v	exp{−λvmsc(v	NOUN
ejpam-1847	208	11	)	)	PUNCT
ejpam-1847	208	12	|vi	|vi	NUM
ejpam-1847	208	13	,	,	PUNCT
ejpam-1847	208	14	jk=0	jk=0	PROPN
ejpam-1847	208	15	}	}	PUNCT
ejpam-1847	208	16	=	=	SYM
ejpam-1847	208	17	1	1	NUM
ejpam-1847	208	18	1	1	NUM
ejpam-1847	208	19	+	+	CCONJ
ejpam-1847	208	20	exp{λ(vmsc(v	exp{λ(vmsc(v	NOUN
ejpam-1847	208	21	)	)	PUNCT
ejpam-1847	208	22	|vi	|vi	NUM
ejpam-1847	208	23	,	,	PUNCT
ejpam-1847	208	24	jk=1−	jk=1−	PROPN
ejpam-1847	208	25	vmsc(v	vmsc(v	NOUN
ejpam-1847	208	26	)	)	PUNCT
ejpam-1847	208	27	|vi	|vi	NUM
ejpam-1847	208	28	,	,	PUNCT
ejpam-1847	208	29	jk=0	jk=0	PROPN
ejpam-1847	208	30	)	)	PUNCT
ejpam-1847	208	31	}	}	PUNCT
ejpam-1847	208	32	x.zhao	x.zhao	PROPN
ejpam-1847	208	33	,	,	PUNCT
ejpam-1847	208	34	g.	g.	PROPN
ejpam-1847	208	35	qian	qian	PROPN
ejpam-1847	208	36	/	/	SYM
ejpam-1847	208	37	eur	eur	PROPN
ejpam-1847	208	38	.	.	PUNCT
ejpam-1847	209	1	j.	j.	PROPN
ejpam-1847	209	2	pure	pure	PROPN
ejpam-1847	209	3	appl	appl	PROPN
ejpam-1847	209	4	.	.	PROPN
ejpam-1847	209	5	math	math	PROPN
ejpam-1847	209	6	,	,	PUNCT
ejpam-1847	209	7	7	7	NUM
ejpam-1847	209	8	(	(	PUNCT
ejpam-1847	209	9	2014	2014	NUM
ejpam-1847	209	10	)	)	PUNCT
ejpam-1847	209	11	,	,	PUNCT
ejpam-1847	209	12	1	1	NUM
ejpam-1847	209	13	-	-	SYM
ejpam-1847	209	14	21	21	NUM
ejpam-1847	209	15	9	9	NUM
ejpam-1847	209	16	and	and	CCONJ
ejpam-1847	209	17	pr{vi	pr{vi	NOUN
ejpam-1847	209	18	,	,	PUNCT
ejpam-1847	209	19	jk	jk	NOUN
ejpam-1847	209	20	=	=	SYM
ejpam-1847	209	21	0|v−(i	0|v−(i	PROPN
ejpam-1847	209	22	,	,	PUNCT
ejpam-1847	209	23	jk)}=	jk)}=	ADJ
ejpam-1847	209	24	1−	1−	NUM
ejpam-1847	209	25	pr{vi	pr{vi	PROPN
ejpam-1847	209	26	,	,	PUNCT
ejpam-1847	209	27	jk	jk	NOUN
ejpam-1847	209	28	=	=	SYM
ejpam-1847	209	29	1|v−(i	1|v−(i	PROPN
ejpam-1847	209	30	,	,	PUNCT
ejpam-1847	209	31	jk	jk	PROPN
ejpam-1847	209	32	)	)	PUNCT
ejpam-1847	209	33	}	}	PUNCT
ejpam-1847	209	34	here	here	ADV
ejpam-1847	209	35	we	we	PRON
ejpam-1847	209	36	can	can	AUX
ejpam-1847	209	37	see	see	VERB
ejpam-1847	209	38	pr{vi	pr{vi	PROPN
ejpam-1847	209	39	,	,	PUNCT
ejpam-1847	209	40	jk	jk	NOUN
ejpam-1847	209	41	=	=	SYM
ejpam-1847	209	42	1|v−(i	1|v−(i	PROPN
ejpam-1847	209	43	,	,	PUNCT
ejpam-1847	209	44	jk	jk	PROPN
ejpam-1847	209	45	)	)	PUNCT
ejpam-1847	209	46	}	}	PUNCT
ejpam-1847	209	47	≥	≥	NOUN
ejpam-1847	209	48	0.5	0.5	NUM
ejpam-1847	209	49	if	if	SCONJ
ejpam-1847	209	50	vmsc(v	vmsc(v	NOUN
ejpam-1847	209	51	)	)	PUNCT
ejpam-1847	209	52	|vi	|vi	NUM
ejpam-1847	209	53	,	,	PUNCT
ejpam-1847	209	54	jk=1	jk=1	PROPN
ejpam-1847	209	55	≥	≥	X
ejpam-1847	209	56	vmsc(v	vmsc(v	PROPN
ejpam-1847	209	57	)	)	PUNCT
ejpam-1847	209	58	|vi	|vi	NUM
ejpam-1847	209	59	,	,	PUNCT
ejpam-1847	209	60	jk=0	jk=0	PROPN
ejpam-1847	209	61	.	.	PUNCT
ejpam-1847	210	1	based	base	VERB
ejpam-1847	210	2	on	on	ADP
ejpam-1847	210	3	the	the	DET
ejpam-1847	210	4	conditional	conditional	ADJ
ejpam-1847	210	5	distributions	distribution	NOUN
ejpam-1847	210	6	pr{vi	pr{vi	PROPN
ejpam-1847	210	7	,	,	PUNCT
ejpam-1847	210	8	jk|v−(i	jk|v−(i	VERB
ejpam-1847	210	9	,	,	PUNCT
ejpam-1847	210	10	jk	jk	PROPN
ejpam-1847	210	11	)	)	PUNCT
ejpam-1847	210	12	}	}	PUNCT
ejpam-1847	210	13	,	,	PUNCT
ejpam-1847	210	14	with	with	ADP
ejpam-1847	210	15	i	i	PROPN
ejpam-1847	210	16	=	=	NOUN
ejpam-1847	210	17	1	1	NUM
ejpam-1847	210	18	,	,	PUNCT
ejpam-1847	210	19	.	.	PUNCT
ejpam-1847	210	20	.	.	PUNCT
ejpam-1847	211	1	.	.	PUNCT
ejpam-1847	212	1	,	,	PUNCT
ejpam-1847	212	2	p	p	X
ejpam-1847	212	3	;	;	PUNCT
ejpam-1847	212	4	j	j	PROPN
ejpam-1847	212	5	=	=	SYM
ejpam-1847	212	6	1	1	NUM
ejpam-1847	212	7	,	,	PUNCT
ejpam-1847	212	8	.	.	PUNCT
ejpam-1847	212	9	.	.	PUNCT
ejpam-1847	212	10	.	.	PUNCT
ejpam-1847	213	1	,	,	PUNCT
ejpam-1847	213	2	q	q	NOUN
ejpam-1847	213	3	and	and	CCONJ
ejpam-1847	213	4	k	k	NOUN
ejpam-1847	213	5	=	=	SYM
ejpam-1847	213	6	1	1	NUM
ejpam-1847	213	7	,	,	PUNCT
ejpam-1847	213	8	.	.	PUNCT
ejpam-1847	213	9	.	.	PUNCT
ejpam-1847	213	10	.	.	PUNCT
ejpam-1847	214	1	,	,	PUNCT
ejpam-1847	214	2	q	q	X
ejpam-1847	214	3	,	,	PUNCT
ejpam-1847	214	4	we	we	PRON
ejpam-1847	214	5	can	can	AUX
ejpam-1847	214	6	apply	apply	VERB
ejpam-1847	214	7	the	the	DET
ejpam-1847	214	8	gibbs	gibbs	PROPN
ejpam-1847	214	9	sampler	sampler	NOUN
ejpam-1847	214	10	(	(	PUNCT
ejpam-1847	214	11	see	see	VERB
ejpam-1847	214	12	e.g.	e.g.	ADV
ejpam-1847	214	13	casella	casella	NOUN
ejpam-1847	214	14	and	and	CCONJ
ejpam-1847	214	15	george	george	NOUN
ejpam-1847	215	1	[	[	X
ejpam-1847	215	2	7	7	NUM
ejpam-1847	215	3	]	]	PUNCT
ejpam-1847	215	4	)	)	PUNCT
ejpam-1847	215	5	to	to	PART
ejpam-1847	215	6	generate	generate	VERB
ejpam-1847	215	7	a	a	DET
ejpam-1847	215	8	random	random	ADJ
ejpam-1847	215	9	sample	sample	NOUN
ejpam-1847	215	10	of	of	ADP
ejpam-1847	215	11	models	model	NOUN
ejpam-1847	215	12	represented	represent	VERB
ejpam-1847	215	13	by	by	ADP
ejpam-1847	215	14	vi	vi	PROPN
ejpam-1847	215	15	,	,	PUNCT
ejpam-1847	215	16	jk	jk	PROPN
ejpam-1847	215	17	,	,	PUNCT
ejpam-1847	215	18	i	i	PROPN
ejpam-1847	215	19	=	=	NOUN
ejpam-1847	215	20	1	1	NUM
ejpam-1847	215	21	,	,	PUNCT
ejpam-1847	215	22	.	.	PUNCT
ejpam-1847	215	23	.	.	PUNCT
ejpam-1847	216	1	.	.	PUNCT
ejpam-1847	217	1	,	,	PUNCT
ejpam-1847	217	2	p	p	X
ejpam-1847	217	3	;	;	PUNCT
ejpam-1847	217	4	j	j	PROPN
ejpam-1847	217	5	=	=	SYM
ejpam-1847	217	6	1	1	NUM
ejpam-1847	217	7	,	,	PUNCT
ejpam-1847	217	8	.	.	PUNCT
ejpam-1847	217	9	.	.	PUNCT
ejpam-1847	217	10	.	.	PUNCT
ejpam-1847	218	1	,	,	PUNCT
ejpam-1847	218	2	q	q	NOUN
ejpam-1847	218	3	;	;	PUNCT
ejpam-1847	218	4	k	k	X
ejpam-1847	218	5	=	=	SYM
ejpam-1847	218	6	1	1	NUM
ejpam-1847	218	7	,	,	PUNCT
ejpam-1847	218	8	.	.	PUNCT
ejpam-1847	218	9	.	.	PUNCT
ejpam-1847	218	10	.	.	PUNCT
ejpam-1847	219	1	,	,	PUNCT
ejpam-1847	219	2	q.	q.	PROPN
ejpam-1847	219	3	ignoring	ignore	VERB
ejpam-1847	219	4	an	an	DET
ejpam-1847	219	5	initial	initial	ADJ
ejpam-1847	219	6	part	part	NOUN
ejpam-1847	219	7	of	of	ADP
ejpam-1847	219	8	the	the	DET
ejpam-1847	219	9	model	model	NOUN
ejpam-1847	219	10	sequence	sequence	NOUN
ejpam-1847	219	11	,	,	PUNCT
ejpam-1847	219	12	the	the	DET
ejpam-1847	219	13	remaining	remain	VERB
ejpam-1847	219	14	sequence	sequence	NOUN
ejpam-1847	219	15	can	can	AUX
ejpam-1847	219	16	be	be	AUX
ejpam-1847	219	17	regarded	regard	VERB
ejpam-1847	219	18	approximately	approximately	ADV
ejpam-1847	219	19	as	as	ADP
ejpam-1847	219	20	a	a	DET
ejpam-1847	219	21	sample	sample	NOUN
ejpam-1847	219	22	from	from	ADP
ejpam-1847	219	23	pvscλ	pvscλ	NOUN
ejpam-1847	219	24	.	.	PUNCT
ejpam-1847	220	1	the	the	DET
ejpam-1847	220	2	sampling	sample	VERB
ejpam-1847	220	3	algorithm	algorithm	NOUN
ejpam-1847	220	4	is	be	AUX
ejpam-1847	220	5	detailed	detail	VERB
ejpam-1847	220	6	below	below	ADV
ejpam-1847	220	7	:	:	PUNCT
ejpam-1847	220	8	i	i	PRON
ejpam-1847	220	9	)	)	PUNCT
ejpam-1847	220	10	arbitrarily	arbitrarily	ADV
ejpam-1847	220	11	take	take	VERB
ejpam-1847	220	12	an	an	DET
ejpam-1847	220	13	initial	initial	ADJ
ejpam-1847	220	14	value	value	NOUN
ejpam-1847	220	15	v	v	NOUN
ejpam-1847	220	16	(	(	PUNCT
ejpam-1847	220	17	0	0	NUM
ejpam-1847	220	18	)	)	PUNCT
ejpam-1847	220	19	=	=	SYM
ejpam-1847	220	20	(	(	PUNCT
ejpam-1847	220	21	v	v	NOUN
ejpam-1847	220	22	(	(	PUNCT
ejpam-1847	220	23	0)1	0)1	PROPN
ejpam-1847	220	24	,	,	PUNCT
ejpam-1847	220	25	.	.	PUNCT
ejpam-1847	220	26	.	.	PUNCT
ejpam-1847	221	1	.	.	PUNCT
ejpam-1847	222	1	,	,	PUNCT
ejpam-1847	222	2	v	v	X
ejpam-1847	222	3	(	(	PUNCT
ejpam-1847	222	4	0)p	0)p	NUM
ejpam-1847	222	5	)	)	PUNCT
ejpam-1847	222	6	,	,	PUNCT
ejpam-1847	222	7	e.g.	e.g.	ADV
ejpam-1847	222	8	v	v	X
ejpam-1847	222	9	(	(	PUNCT
ejpam-1847	222	10	0)i	0)i	ADJ
ejpam-1847	222	11	=	=	PUNCT
ejpam-1847	222	12	{	{	PUNCT
ejpam-1847	222	13	1}q×q	1}q×q	NUM
ejpam-1847	222	14	for	for	ADP
ejpam-1847	222	15	i	i	PRON
ejpam-1847	222	16	=	=	NOUN
ejpam-1847	222	17	1	1	NUM
ejpam-1847	222	18	,	,	PUNCT
ejpam-1847	222	19	.	.	PUNCT
ejpam-1847	222	20	.	.	PUNCT
ejpam-1847	222	21	.	.	PUNCT
ejpam-1847	223	1	,	,	PUNCT
ejpam-1847	223	2	p.	p.	PROPN
ejpam-1847	223	3	ii	ii	NOUN
ejpam-1847	223	4	)	)	PUNCT
ejpam-1847	223	5	given	give	VERB
ejpam-1847	223	6	that	that	DET
ejpam-1847	223	7	v	v	NOUN
ejpam-1847	223	8	(	(	PUNCT
ejpam-1847	223	9	1	1	NUM
ejpam-1847	223	10	)	)	PUNCT
ejpam-1847	223	11	,	,	PUNCT
ejpam-1847	223	12	.	.	PUNCT
ejpam-1847	223	13	.	.	PUNCT
ejpam-1847	223	14	.	.	PUNCT
ejpam-1847	224	1	,	,	PUNCT
ejpam-1847	224	2	v	v	X
ejpam-1847	224	3	(	(	PUNCT
ejpam-1847	224	4	h−1	h−1	PROPN
ejpam-1847	224	5	)	)	PUNCT
ejpam-1847	224	6	have	have	AUX
ejpam-1847	224	7	been	be	AUX
ejpam-1847	224	8	generated	generate	VERB
ejpam-1847	224	9	,	,	PUNCT
ejpam-1847	224	10	do	do	VERB
ejpam-1847	224	11	the	the	DET
ejpam-1847	224	12	following	following	NOUN
ejpam-1847	224	13	to	to	PART
ejpam-1847	224	14	generate	generate	VERB
ejpam-1847	224	15	v	v	ADP
ejpam-1847	224	16	(	(	PUNCT
ejpam-1847	224	17	h	h	NOUN
ejpam-1847	224	18	)	)	PUNCT
ejpam-1847	224	19	for	for	ADP
ejpam-1847	224	20	h=	h=	NOUN
ejpam-1847	224	21	1	1	NUM
ejpam-1847	224	22	,	,	PUNCT
ejpam-1847	224	23	.	.	PUNCT
ejpam-1847	224	24	.	.	PUNCT
ejpam-1847	225	1	.	.	PUNCT
ejpam-1847	226	1	,	,	PUNCT
ejpam-1847	226	2	h.	h.	PROPN
ejpam-1847	226	3	•	•	NUM
ejpam-1847	226	4	repeat	repeat	VERB
ejpam-1847	226	5	for	for	ADP
ejpam-1847	226	6	i	i	PRON
ejpam-1847	226	7	=	=	NOUN
ejpam-1847	226	8	1	1	NUM
ejpam-1847	226	9	,	,	PUNCT
ejpam-1847	226	10	2	2	NUM
ejpam-1847	226	11	,	,	PUNCT
ejpam-1847	226	12	.	.	PUNCT
ejpam-1847	226	13	.	.	PUNCT
ejpam-1847	227	1	.	.	PUNCT
ejpam-1847	228	1	,	,	PUNCT
ejpam-1847	228	2	p	p	X
ejpam-1847	228	3	;	;	PUNCT
ejpam-1847	228	4	j	j	PROPN
ejpam-1847	228	5	=	=	SYM
ejpam-1847	228	6	1	1	NUM
ejpam-1847	228	7	,	,	PUNCT
ejpam-1847	228	8	2	2	NUM
ejpam-1847	228	9	,	,	PUNCT
ejpam-1847	228	10	.	.	PUNCT
ejpam-1847	228	11	.	.	PUNCT
ejpam-1847	229	1	.	.	PUNCT
ejpam-1847	230	1	,	,	PUNCT
ejpam-1847	230	2	q	q	NOUN
ejpam-1847	230	3	and	and	CCONJ
ejpam-1847	230	4	k	k	NOUN
ejpam-1847	230	5	=	=	SYM
ejpam-1847	230	6	1,2	1,2	NUM
ejpam-1847	230	7	,	,	PUNCT
ejpam-1847	230	8	.	.	PUNCT
ejpam-1847	230	9	.	.	PUNCT
ejpam-1847	231	1	.	.	PUNCT
ejpam-1847	232	1	,	,	PUNCT
ejpam-1847	232	2	q.	q.	PROPN
ejpam-1847	232	3	•	•	NOUN
ejpam-1847	232	4	generate	generate	VERB
ejpam-1847	232	5	a	a	DET
ejpam-1847	232	6	random	random	ADJ
ejpam-1847	232	7	number	number	NOUN
ejpam-1847	232	8	from	from	ADP
ejpam-1847	232	9	the	the	DET
ejpam-1847	232	10	bernoulli	bernoulli	NOUN
ejpam-1847	232	11	distribution	distribution	NOUN
ejpam-1847	232	12	having	have	VERB
ejpam-1847	232	13	the	the	DET
ejpam-1847	232	14	probability	probability	NOUN
ejpam-1847	232	15	of	of	ADP
ejpam-1847	232	16	“	"	PUNCT
ejpam-1847	232	17	success	success	NOUN
ejpam-1847	232	18	’	'	PUNCT
ejpam-1847	232	19	”	"	PUNCT
ejpam-1847	232	20	given	give	VERB
ejpam-1847	232	21	by	by	ADP
ejpam-1847	232	22	pr{v	pr{v	PROPN
ejpam-1847	232	23	(	(	PUNCT
ejpam-1847	232	24	h)i	h)i	ADJ
ejpam-1847	232	25	,	,	PUNCT
ejpam-1847	232	26	jk	jk	PROPN
ejpam-1847	232	27	=	=	SYM
ejpam-1847	232	28	1|v	1|v	PROPN
ejpam-1847	232	29	(	(	PUNCT
ejpam-1847	232	30	h−1,h	h−1,h	PROPN
ejpam-1847	232	31	)	)	PUNCT
ejpam-1847	232	32	−(i	−(i	PROPN
ejpam-1847	232	33	,	,	PUNCT
ejpam-1847	232	34	jk	jk	PROPN
ejpam-1847	232	35	)	)	PUNCT
ejpam-1847	232	36	}	}	PUNCT
ejpam-1847	232	37	.	.	PUNCT
ejpam-1847	233	1	•	•	PUNCT
ejpam-1847	233	2	deliver	deliver	VERB
ejpam-1847	233	3	the	the	DET
ejpam-1847	233	4	number	number	NOUN
ejpam-1847	233	5	generated	generate	VERB
ejpam-1847	233	6	to	to	PART
ejpam-1847	233	7	be	be	AUX
ejpam-1847	233	8	v	v	ADP
ejpam-1847	233	9	(	(	PUNCT
ejpam-1847	233	10	h)i	h)i	ADJ
ejpam-1847	233	11	,	,	PUNCT
ejpam-1847	233	12	jk	jk	PROPN
ejpam-1847	233	13	—	—	PUNCT
ejpam-1847	233	14	the	the	PRON
ejpam-1847	233	15	(	(	PUNCT
ejpam-1847	233	16	i	i	PROPN
ejpam-1847	233	17	,	,	PUNCT
ejpam-1847	233	18	j	j	PROPN
ejpam-1847	233	19	,	,	PUNCT
ejpam-1847	233	20	k)-th	k)-th	PROPN
ejpam-1847	233	21	component	component	NOUN
ejpam-1847	233	22	of	of	ADP
ejpam-1847	233	23	v	v	NOUN
ejpam-1847	233	24	(	(	PUNCT
ejpam-1847	233	25	h	h	NOUN
ejpam-1847	233	26	)	)	PUNCT
ejpam-1847	233	27	.	.	PUNCT
ejpam-1847	234	1	here	here	ADV
ejpam-1847	234	2	v	v	X
ejpam-1847	234	3	(	(	PUNCT
ejpam-1847	234	4	h−1,h	h−1,h	NOUN
ejpam-1847	234	5	)	)	PUNCT
ejpam-1847	234	6	−(i	−(i	PROPN
ejpam-1847	234	7	,	,	PUNCT
ejpam-1847	234	8	jk	jk	PROPN
ejpam-1847	234	9	)	)	PUNCT
ejpam-1847	234	10	=(	=(	PROPN
ejpam-1847	234	11	v	v	PROPN
ejpam-1847	234	12	(	(	PUNCT
ejpam-1847	234	13	h	h	NOUN
ejpam-1847	234	14	)	)	PUNCT
ejpam-1847	234	15	1	1	NUM
ejpam-1847	234	16	,	,	PUNCT
ejpam-1847	234	17	.	.	PUNCT
ejpam-1847	234	18	.	.	PUNCT
ejpam-1847	234	19	.	.	PUNCT
ejpam-1847	235	1	,	,	PUNCT
ejpam-1847	235	2	v	v	X
ejpam-1847	235	3	(	(	PUNCT
ejpam-1847	235	4	h)i−1	h)i−1	PROPN
ejpam-1847	235	5	,	,	PUNCT
ejpam-1847	235	6	v	v	NOUN
ejpam-1847	235	7	(	(	PUNCT
ejpam-1847	235	8	h−1,h	h−1,h	NOUN
ejpam-1847	235	9	)	)	PUNCT
ejpam-1847	236	1	i	i	PRON
ejpam-1847	236	2	,	,	PUNCT
ejpam-1847	236	3	v	v	X
ejpam-1847	236	4	(	(	PUNCT
ejpam-1847	236	5	h−1	h−1	PROPN
ejpam-1847	236	6	)	)	PUNCT
ejpam-1847	236	7	i+1	i+1	X
ejpam-1847	236	8	,	,	PUNCT
ejpam-1847	236	9	.	.	PUNCT
ejpam-1847	236	10	.	.	PUNCT
ejpam-1847	236	11	.	.	PUNCT
ejpam-1847	237	1	,	,	PUNCT
ejpam-1847	237	2	v	v	X
ejpam-1847	237	3	(	(	PUNCT
ejpam-1847	237	4	h−1	h−1	PROPN
ejpam-1847	237	5	)	)	PUNCT
ejpam-1847	237	6	p	p	NOUN
ejpam-1847	237	7	)	)	PUNCT
ejpam-1847	237	8	=	=	SYM
ejpam-1847	237	9			PROPN
ejpam-1847	237	10			NOUN
ejpam-1847	237	11			NOUN
ejpam-1847	237	12			NOUN
ejpam-1847	237	13			NOUN
ejpam-1847	237	14			NOUN
ejpam-1847	237	15			NOUN
ejpam-1847	237	16			NOUN
ejpam-1847	237	17			NOUN
ejpam-1847	237	18			NOUN
ejpam-1847	237	19			NOUN
ejpam-1847	237	20			NOUN
ejpam-1847	237	21			NOUN
ejpam-1847	237	22			NOUN
ejpam-1847	237	23			NOUN
ejpam-1847	237	24	v	v	NOUN
ejpam-1847	237	25	(	(	PUNCT
ejpam-1847	237	26	h)1,11	h)1,11	X
ejpam-1847	237	27	.	.	PUNCT
ejpam-1847	237	28	.	.	PUNCT
ejpam-1847	237	29	.	.	PUNCT
ejpam-1847	238	1	v	v	X
ejpam-1847	238	2	(	(	PUNCT
ejpam-1847	238	3	h)1,1q	h)1,1q	NOUN
ejpam-1847	238	4	.	.	PUNCT
ejpam-1847	238	5	.	.	PUNCT
ejpam-1847	238	6	.	.	PUNCT
ejpam-1847	239	1	v	v	X
ejpam-1847	239	2	(	(	PUNCT
ejpam-1847	239	3	h)i,11	h)i,11	X
ejpam-1847	239	4	.	.	PUNCT
ejpam-1847	239	5	.	.	PUNCT
ejpam-1847	239	6	.	.	PUNCT
ejpam-1847	240	1	v	v	X
ejpam-1847	240	2	(	(	PUNCT
ejpam-1847	240	3	h)i,1(k−1	h)i,1(k−1	PROPN
ejpam-1847	240	4	)	)	PUNCT
ejpam-1847	240	5	v	v	NOUN
ejpam-1847	240	6	(	(	PUNCT
ejpam-1847	240	7	h)i,1k	h)i,1k	ADJ
ejpam-1847	240	8	v	v	NOUN
ejpam-1847	240	9	(	(	PUNCT
ejpam-1847	240	10	h)i,1(k+1	h)i,1(k+1	NOUN
ejpam-1847	240	11	)	)	PUNCT
ejpam-1847	240	12	.	.	PUNCT
ejpam-1847	240	13	.	.	PUNCT
ejpam-1847	240	14	.	.	PUNCT
ejpam-1847	241	1	v	v	X
ejpam-1847	241	2	(	(	PUNCT
ejpam-1847	241	3	h)i,1q	h)i,1q	PROPN
ejpam-1847	241	4	.	.	PUNCT
ejpam-1847	241	5	.	.	PUNCT
ejpam-1847	241	6	.	.	PUNCT
ejpam-1847	242	1	v	v	X
ejpam-1847	242	2	(	(	PUNCT
ejpam-1847	242	3	h−1	h−1	PROPN
ejpam-1847	242	4	)	)	PUNCT
ejpam-1847	242	5	p,11	p,11	NOUN
ejpam-1847	242	6	.	.	PUNCT
ejpam-1847	242	7	.	.	PUNCT
ejpam-1847	242	8	.	.	PUNCT
ejpam-1847	243	1	v	v	X
ejpam-1847	243	2	(	(	PUNCT
ejpam-1847	243	3	h−1	h−1	PROPN
ejpam-1847	243	4	)	)	PUNCT
ejpam-1847	243	5	p,1q	p,1q	PROPN
ejpam-1847	243	6	...	...	PUNCT
ejpam-1847	243	7	...	...	PUNCT
ejpam-1847	243	8	...	...	PUNCT
ejpam-1847	243	9	...	...	PUNCT
ejpam-1847	243	10	...	...	PUNCT
ejpam-1847	243	11	...	...	PUNCT
ejpam-1847	243	12	...	...	PUNCT
ejpam-1847	243	13	.	.	PUNCT
ejpam-1847	243	14	.	.	PUNCT
ejpam-1847	243	15	.	.	PUNCT
ejpam-1847	243	16	.	.	PUNCT
ejpam-1847	243	17	.	.	PUNCT
ejpam-1847	243	18	.	.	PUNCT
ejpam-1847	243	19	.	.	PUNCT
ejpam-1847	243	20	.	.	PUNCT
ejpam-1847	244	1	.	.	PUNCT
ejpam-1847	245	1	v	v	X
ejpam-1847	245	2	(	(	PUNCT
ejpam-1847	245	3	h)i	h)i	NOUN
ejpam-1847	245	4	,	,	PUNCT
ejpam-1847	245	5	(	(	PUNCT
ejpam-1847	245	6	j−1)k	j−1)k	ADV
ejpam-1847	245	7	.	.	PUNCT
ejpam-1847	245	8	.	.	PUNCT
ejpam-1847	245	9	.	.	PUNCT
ejpam-1847	245	10	.	.	PUNCT
ejpam-1847	245	11	.	.	PUNCT
ejpam-1847	245	12	.	.	PUNCT
ejpam-1847	245	13	.	.	PUNCT
ejpam-1847	245	14	.	.	PUNCT
ejpam-1847	245	15	.	.	PUNCT
ejpam-1847	246	1	v	v	X
ejpam-1847	246	2	(	(	PUNCT
ejpam-1847	246	3	h)1	h)1	NOUN
ejpam-1847	246	4	,	,	PUNCT
ejpam-1847	246	5	j1	j1	PROPN
ejpam-1847	246	6	.	.	PUNCT
ejpam-1847	246	7	.	.	PUNCT
ejpam-1847	246	8	.	.	PUNCT
ejpam-1847	247	1	v	v	X
ejpam-1847	247	2	(	(	PUNCT
ejpam-1847	247	3	h)1	h)1	PROPN
ejpam-1847	247	4	,	,	PUNCT
ejpam-1847	247	5	jq	jq	PROPN
ejpam-1847	247	6	.	.	PUNCT
ejpam-1847	247	7	.	.	PUNCT
ejpam-1847	247	8	.	.	PUNCT
ejpam-1847	248	1	v	v	X
ejpam-1847	248	2	(	(	PUNCT
ejpam-1847	248	3	h)i	h)i	ADJ
ejpam-1847	248	4	,	,	PUNCT
ejpam-1847	248	5	j1	j1	PROPN
ejpam-1847	248	6	.	.	PUNCT
ejpam-1847	248	7	.	.	PUNCT
ejpam-1847	248	8	.	.	PUNCT
ejpam-1847	249	1	v	v	X
ejpam-1847	249	2	(	(	PUNCT
ejpam-1847	249	3	h)i	h)i	ADJ
ejpam-1847	249	4	,	,	PUNCT
ejpam-1847	249	5	j(k−1	j(k−1	PROPN
ejpam-1847	249	6	)	)	PUNCT
ejpam-1847	249	7	;	;	PUNCT
ejpam-1847	249	8	v	v	X
ejpam-1847	249	9	(	(	PUNCT
ejpam-1847	249	10	h−1	h−1	PROPN
ejpam-1847	249	11	)	)	PUNCT
ejpam-1847	249	12	i	i	PROPN
ejpam-1847	249	13	,	,	PUNCT
ejpam-1847	249	14	j(k+1	j(k+1	PROPN
ejpam-1847	249	15	)	)	PUNCT
ejpam-1847	249	16	.	.	PUNCT
ejpam-1847	249	17	.	.	PUNCT
ejpam-1847	249	18	.	.	PUNCT
ejpam-1847	250	1	v	v	X
ejpam-1847	250	2	(	(	PUNCT
ejpam-1847	250	3	h−1	h−1	PROPN
ejpam-1847	250	4	)	)	PUNCT
ejpam-1847	250	5	i	i	PROPN
ejpam-1847	250	6	,	,	PUNCT
ejpam-1847	250	7	jq	jq	PROPN
ejpam-1847	250	8	.	.	PUNCT
ejpam-1847	250	9	.	.	PUNCT
ejpam-1847	250	10	.	.	PUNCT
ejpam-1847	251	1	v	v	X
ejpam-1847	251	2	(	(	PUNCT
ejpam-1847	251	3	h−1	h−1	PROPN
ejpam-1847	251	4	)	)	PUNCT
ejpam-1847	251	5	p	p	X
ejpam-1847	251	6	,	,	PUNCT
ejpam-1847	251	7	j1	j1	PROPN
ejpam-1847	251	8	.	.	PUNCT
ejpam-1847	251	9	.	.	PUNCT
ejpam-1847	251	10	.	.	PUNCT
ejpam-1847	252	1	v	v	X
ejpam-1847	252	2	(	(	PUNCT
ejpam-1847	252	3	h−1	h−1	PROPN
ejpam-1847	252	4	)	)	PUNCT
ejpam-1847	252	5	p	p	X
ejpam-1847	252	6	,	,	PUNCT
ejpam-1847	252	7	jq	jq	PROPN
ejpam-1847	252	8	.	.	PUNCT
ejpam-1847	252	9	.	.	PUNCT
ejpam-1847	252	10	.	.	PUNCT
ejpam-1847	252	11	.	.	PUNCT
ejpam-1847	252	12	.	.	PUNCT
ejpam-1847	252	13	.	.	PUNCT
ejpam-1847	252	14	.	.	PUNCT
ejpam-1847	252	15	.	.	PUNCT
ejpam-1847	252	16	.	.	PUNCT
ejpam-1847	253	1	v	v	X
ejpam-1847	253	2	(	(	PUNCT
ejpam-1847	253	3	h−1	h−1	PROPN
ejpam-1847	253	4	)	)	PUNCT
ejpam-1847	253	5	i	i	PRON
ejpam-1847	253	6	,	,	PUNCT
ejpam-1847	253	7	(	(	PUNCT
ejpam-1847	253	8	j+1)k	j+1)k	PROPN
ejpam-1847	253	9	.	.	PUNCT
ejpam-1847	253	10	.	.	PUNCT
ejpam-1847	253	11	.	.	PUNCT
ejpam-1847	253	12	.	.	PUNCT
ejpam-1847	253	13	.	.	PUNCT
ejpam-1847	253	14	.	.	PUNCT
ejpam-1847	253	15	.	.	PUNCT
ejpam-1847	253	16	.	.	PUNCT
ejpam-1847	253	17	.	.	PUNCT
ejpam-1847	254	1	...	...	PUNCT
ejpam-1847	254	2	...	...	PUNCT
ejpam-1847	255	1	...	...	PUNCT
ejpam-1847	255	2	...	...	PUNCT
ejpam-1847	255	3	...	...	PUNCT
ejpam-1847	255	4	...	...	PUNCT
ejpam-1847	256	1	...	...	PUNCT
ejpam-1847	256	2	v	v	X
ejpam-1847	256	3	(	(	PUNCT
ejpam-1847	256	4	h)1,q1	h)1,q1	NOUN
ejpam-1847	256	5	.	.	PUNCT
ejpam-1847	256	6	.	.	PUNCT
ejpam-1847	256	7	.	.	PUNCT
ejpam-1847	257	1	v	v	X
ejpam-1847	257	2	(	(	PUNCT
ejpam-1847	257	3	h)1,qq	h)1,qq	NOUN
ejpam-1847	257	4	.	.	PUNCT
ejpam-1847	257	5	.	.	PUNCT
ejpam-1847	257	6	.	.	PUNCT
ejpam-1847	258	1	v	v	X
ejpam-1847	258	2	(	(	PUNCT
ejpam-1847	258	3	h−1	h−1	PROPN
ejpam-1847	258	4	)	)	PUNCT
ejpam-1847	258	5	i	i	PROPN
ejpam-1847	258	6	,	,	PUNCT
ejpam-1847	258	7	q1	q1	PROPN
ejpam-1847	258	8	.	.	PUNCT
ejpam-1847	258	9	.	.	PUNCT
ejpam-1847	258	10	.	.	PUNCT
ejpam-1847	259	1	v	v	X
ejpam-1847	259	2	(	(	PUNCT
ejpam-1847	259	3	h−1	h−1	PROPN
ejpam-1847	259	4	)	)	PUNCT
ejpam-1847	259	5	i	i	PROPN
ejpam-1847	259	6	,	,	PUNCT
ejpam-1847	259	7	q(k−1	q(k−1	PROPN
ejpam-1847	259	8	)	)	PUNCT
ejpam-1847	259	9	v	v	NOUN
ejpam-1847	259	10	(	(	PUNCT
ejpam-1847	259	11	h−1	h−1	PROPN
ejpam-1847	259	12	)	)	PUNCT
ejpam-1847	260	1	i	i	PRON
ejpam-1847	260	2	,	,	PUNCT
ejpam-1847	260	3	qk	qk	NOUN
ejpam-1847	260	4	v	v	NOUN
ejpam-1847	260	5	(	(	PUNCT
ejpam-1847	260	6	h−1	h−1	PROPN
ejpam-1847	260	7	)	)	PUNCT
ejpam-1847	260	8	i	i	PROPN
ejpam-1847	260	9	,	,	PUNCT
ejpam-1847	260	10	q(k+1	q(k+1	PROPN
ejpam-1847	260	11	)	)	PUNCT
ejpam-1847	260	12	.	.	PUNCT
ejpam-1847	260	13	.	.	PUNCT
ejpam-1847	261	1	.	.	PUNCT
ejpam-1847	262	1	v	v	X
ejpam-1847	262	2	(	(	PUNCT
ejpam-1847	262	3	h−1	h−1	PROPN
ejpam-1847	262	4	)	)	PUNCT
ejpam-1847	262	5	i	i	PRON
ejpam-1847	262	6	,	,	PUNCT
ejpam-1847	262	7	qq	qq	INTJ
ejpam-1847	262	8	.	.	PUNCT
ejpam-1847	262	9	.	.	PUNCT
ejpam-1847	262	10	.	.	PUNCT
ejpam-1847	263	1	v	v	X
ejpam-1847	263	2	(	(	PUNCT
ejpam-1847	263	3	h−1	h−1	PROPN
ejpam-1847	263	4	)	)	PUNCT
ejpam-1847	263	5	p	p	PROPN
ejpam-1847	263	6	,	,	PUNCT
ejpam-1847	263	7	q1	q1	PROPN
ejpam-1847	263	8	.	.	PUNCT
ejpam-1847	263	9	.	.	PUNCT
ejpam-1847	263	10	.	.	PUNCT
ejpam-1847	264	1	v	v	X
ejpam-1847	264	2	(	(	PUNCT
ejpam-1847	264	3	h−1	h−1	PROPN
ejpam-1847	264	4	)	)	PUNCT
ejpam-1847	265	1	p	p	X
ejpam-1847	265	2	,	,	PUNCT
ejpam-1847	265	3	qq	qq	INTJ
ejpam-1847	265	4			NOUN
ejpam-1847	265	5			NOUN
ejpam-1847	265	6			VERB
ejpam-1847	265	7			NOUN
ejpam-1847	265	8			NOUN
ejpam-1847	265	9			NOUN
ejpam-1847	265	10			NOUN
ejpam-1847	265	11			NOUN
ejpam-1847	265	12			NOUN
ejpam-1847	265	13			NOUN
ejpam-1847	265	14			NOUN
ejpam-1847	265	15			NOUN
ejpam-1847	265	16			NOUN
ejpam-1847	265	17			NOUN
ejpam-1847	265	18			PUNCT
ejpam-1847	265	19	is	be	AUX
ejpam-1847	265	20	a	a	DET
ejpam-1847	265	21	q×	q×	PUNCT
ejpam-1847	265	22	pq	pq	NOUN
ejpam-1847	265	23	matrix	matrix	NOUN
ejpam-1847	265	24	removing	remove	VERB
ejpam-1847	265	25	the	the	DET
ejpam-1847	265	26	(	(	PUNCT
ejpam-1847	265	27	j	j	PROPN
ejpam-1847	265	28	,	,	PUNCT
ejpam-1847	265	29	(	(	PUNCT
ejpam-1847	265	30	j−	j−	PROPN
ejpam-1847	265	31	1)q+	1)q+	NUM
ejpam-1847	265	32	k)-th	k)-th	NOUN
ejpam-1847	265	33	component	component	NOUN
ejpam-1847	265	34	.	.	PUNCT
ejpam-1847	266	1	some	some	DET
ejpam-1847	266	2	remarks	remark	NOUN
ejpam-1847	266	3	for	for	ADP
ejpam-1847	266	4	the	the	DET
ejpam-1847	266	5	above	above	ADV
ejpam-1847	266	6	-	-	PUNCT
ejpam-1847	266	7	described	describe	VERB
ejpam-1847	266	8	algorithm	algorithm	NOUN
ejpam-1847	266	9	need	need	VERB
ejpam-1847	266	10	to	to	PART
ejpam-1847	266	11	be	be	AUX
ejpam-1847	266	12	made	make	VERB
ejpam-1847	266	13	here	here	ADV
ejpam-1847	266	14	.	.	PUNCT
ejpam-1847	267	1	firstly	firstly	ADV
ejpam-1847	267	2	,	,	PUNCT
ejpam-1847	267	3	employing	employ	VERB
ejpam-1847	267	4	the	the	DET
ejpam-1847	267	5	gibbs	gibbs	PROPN
ejpam-1847	267	6	sampler	sampler	NOUN
ejpam-1847	267	7	for	for	ADP
ejpam-1847	267	8	model	model	NOUN
ejpam-1847	267	9	selection	selection	NOUN
ejpam-1847	267	10	can	can	AUX
ejpam-1847	267	11	be	be	AUX
ejpam-1847	267	12	found	find	VERB
ejpam-1847	267	13	in	in	ADP
ejpam-1847	267	14	different	different	ADJ
ejpam-1847	267	15	contexts	context	NOUN
ejpam-1847	267	16	in	in	ADP
ejpam-1847	267	17	literature	literature	NOUN
ejpam-1847	267	18	.	.	PUNCT
ejpam-1847	268	1	madigan	madigan	PROPN
ejpam-1847	268	2	and	and	CCONJ
ejpam-1847	268	3	york	york	PROPN
ejpam-1847	269	1	[	[	X
ejpam-1847	269	2	24	24	NUM
ejpam-1847	269	3	]	]	PUNCT
ejpam-1847	269	4	and	and	CCONJ
ejpam-1847	269	5	george	george	PROPN
ejpam-1847	269	6	and	and	CCONJ
ejpam-1847	269	7	mcculloch	mcculloch	PROPN
ejpam-1847	269	8	[	[	X
ejpam-1847	269	9	13	13	NUM
ejpam-1847	269	10	]	]	PUNCT
ejpam-1847	269	11	have	have	AUX
ejpam-1847	269	12	used	use	VERB
ejpam-1847	269	13	the	the	DET
ejpam-1847	269	14	gibbs	gibbs	PROPN
ejpam-1847	269	15	sampler	sampler	NOUN
ejpam-1847	269	16	for	for	ADP
ejpam-1847	269	17	generating	generate	VERB
ejpam-1847	269	18	the	the	DET
ejpam-1847	269	19	posterior	posterior	ADJ
ejpam-1847	269	20	distribution	distribution	NOUN
ejpam-1847	269	21	of	of	ADP
ejpam-1847	269	22	the	the	DET
ejpam-1847	269	23	variable	variable	ADJ
ejpam-1847	269	24	indicators	indicator	NOUN
ejpam-1847	269	25	in	in	ADP
ejpam-1847	269	26	bayesian	bayesian	NOUN
ejpam-1847	269	27	linear	linear	PROPN
ejpam-1847	269	28	regression	regression	NOUN
ejpam-1847	269	29	and	and	CCONJ
ejpam-1847	269	30	graphic	graphic	ADJ
ejpam-1847	269	31	model	model	NOUN
ejpam-1847	269	32	selection	selection	NOUN
ejpam-1847	269	33	.	.	PUNCT
ejpam-1847	270	1	qian	qian	PROPN
ejpam-1847	271	1	[	[	X
ejpam-1847	271	2	27	27	NUM
ejpam-1847	271	3	]	]	PUNCT
ejpam-1847	271	4	,	,	PUNCT
ejpam-1847	271	5	qian	qian	NOUN
ejpam-1847	271	6	and	and	CCONJ
ejpam-1847	271	7	field	field	NOUN
ejpam-1847	272	1	[	[	X
ejpam-1847	272	2	28	28	NUM
ejpam-1847	272	3	]	]	PUNCT
ejpam-1847	272	4	,	,	PUNCT
ejpam-1847	272	5	qian	qian	PROPN
ejpam-1847	272	6	and	and	CCONJ
ejpam-1847	272	7	zhao	zhao	PROPN
ejpam-1847	273	1	[	[	X
ejpam-1847	273	2	29	29	NUM
ejpam-1847	273	3	]	]	PUNCT
ejpam-1847	273	4	and	and	CCONJ
ejpam-1847	273	5	cui	cui	PROPN
ejpam-1847	273	6	,	,	PUNCT
ejpam-1847	273	7	pitt	pitt	PROPN
ejpam-1847	273	8	and	and	CCONJ
ejpam-1847	273	9	qian	qian	PROPN
ejpam-1847	273	10	[	[	X
ejpam-1847	273	11	9	9	NUM
ejpam-1847	273	12	]	]	PUNCT
ejpam-1847	273	13	have	have	AUX
ejpam-1847	273	14	used	use	VERB
ejpam-1847	273	15	the	the	DET
ejpam-1847	273	16	gibbs	gibbs	PROPN
ejpam-1847	273	17	sampler	sampler	NOUN
ejpam-1847	273	18	for	for	ADP
ejpam-1847	273	19	robust	robust	ADJ
ejpam-1847	273	20	regression	regression	NOUN
ejpam-1847	273	21	model	model	NOUN
ejpam-1847	273	22	selection	selection	NOUN
ejpam-1847	273	23	,	,	PUNCT
ejpam-1847	273	24	generalized	generalize	VERB
ejpam-1847	273	25	linear	linear	ADJ
ejpam-1847	273	26	regression	regression	NOUN
ejpam-1847	273	27	model	model	NOUN
ejpam-1847	273	28	selection	selection	NOUN
ejpam-1847	273	29	,	,	PUNCT
ejpam-1847	273	30	arma	arma	NOUN
ejpam-1847	273	31	model	model	NOUN
ejpam-1847	273	32	selection	selection	NOUN
ejpam-1847	273	33	and	and	CCONJ
ejpam-1847	273	34	generalized	generalized	ADJ
ejpam-1847	273	35	estimating	estimate	VERB
ejpam-1847	273	36	equation	equation	NOUN
ejpam-1847	273	37	model	model	NOUN
ejpam-1847	273	38	selection	selection	NOUN
ejpam-1847	273	39	.	.	PUNCT
ejpam-1847	274	1	brooks	brooks	PROPN
ejpam-1847	274	2	,	,	PUNCT
ejpam-1847	274	3	friel	friel	PROPN
ejpam-1847	274	4	and	and	CCONJ
ejpam-1847	274	5	king	king	NOUN
ejpam-1847	275	1	[	[	X
ejpam-1847	275	2	6	6	NUM
ejpam-1847	275	3	]	]	PUNCT
ejpam-1847	275	4	have	have	AUX
ejpam-1847	275	5	used	use	VERB
ejpam-1847	275	6	the	the	DET
ejpam-1847	275	7	gibbs	gibbs	PROPN
ejpam-1847	275	8	sampler	sampler	NOUN
ejpam-1847	275	9	in	in	ADP
ejpam-1847	275	10	the	the	DET
ejpam-1847	275	11	context	context	NOUN
ejpam-1847	275	12	of	of	ADP
ejpam-1847	275	13	the	the	DET
ejpam-1847	275	14	simulated	simulate	VERB
ejpam-1847	275	15	annealing	anneal	VERB
ejpam-1847	275	16	algorithm	algorithm	NOUN
ejpam-1847	275	17	for	for	ADP
ejpam-1847	275	18	autoregressive	autoregressive	ADJ
ejpam-1847	275	19	time	time	NOUN
ejpam-1847	275	20	series	series	NOUN
ejpam-1847	275	21	order	order	NOUN
ejpam-1847	275	22	selection	selection	NOUN
ejpam-1847	275	23	.	.	PUNCT
ejpam-1847	276	1	however	however	ADV
ejpam-1847	276	2	,	,	PUNCT
ejpam-1847	276	3	x.zhao	x.zhao	PROPN
ejpam-1847	276	4	,	,	PUNCT
ejpam-1847	276	5	g.	g.	PROPN
ejpam-1847	276	6	qian	qian	PROPN
ejpam-1847	276	7	/	/	SYM
ejpam-1847	276	8	eur	eur	PROPN
ejpam-1847	276	9	.	.	PUNCT
ejpam-1847	277	1	j.	j.	PROPN
ejpam-1847	277	2	pure	pure	PROPN
ejpam-1847	277	3	appl	appl	PROPN
ejpam-1847	277	4	.	.	PROPN
ejpam-1847	277	5	math	math	PROPN
ejpam-1847	277	6	,	,	PUNCT
ejpam-1847	277	7	7	7	NUM
ejpam-1847	277	8	(	(	PUNCT
ejpam-1847	277	9	2014	2014	NUM
ejpam-1847	277	10	)	)	PUNCT
ejpam-1847	277	11	,	,	PUNCT
ejpam-1847	277	12	1	1	NUM
ejpam-1847	277	13	-	-	SYM
ejpam-1847	277	14	21	21	NUM
ejpam-1847	277	15	10	10	NUM
ejpam-1847	277	16	it	it	PRON
ejpam-1847	277	17	seems	seem	VERB
ejpam-1847	277	18	using	use	VERB
ejpam-1847	277	19	the	the	DET
ejpam-1847	277	20	gibbs	gibbs	PROPN
ejpam-1847	277	21	sampler	sampler	NOUN
ejpam-1847	277	22	for	for	ADP
ejpam-1847	277	23	var	var	NOUN
ejpam-1847	277	24	model	model	NOUN
ejpam-1847	277	25	selection	selection	NOUN
ejpam-1847	277	26	has	have	AUX
ejpam-1847	277	27	not	not	PART
ejpam-1847	277	28	appeared	appear	VERB
ejpam-1847	277	29	in	in	ADP
ejpam-1847	277	30	literature	literature	NOUN
ejpam-1847	277	31	before	before	ADV
ejpam-1847	277	32	,	,	PUNCT
ejpam-1847	277	33	even	even	ADV
ejpam-1847	277	34	though	though	SCONJ
ejpam-1847	277	35	it	it	PRON
ejpam-1847	277	36	can	can	AUX
ejpam-1847	277	37	provide	provide	VERB
ejpam-1847	277	38	an	an	DET
ejpam-1847	277	39	effective	effective	ADJ
ejpam-1847	277	40	solution	solution	NOUN
ejpam-1847	277	41	for	for	ADP
ejpam-1847	277	42	model	model	NOUN
ejpam-1847	277	43	selection	selection	NOUN
ejpam-1847	277	44	involving	involve	VERB
ejpam-1847	277	45	very	very	ADV
ejpam-1847	277	46	large	large	ADJ
ejpam-1847	277	47	number	number	NOUN
ejpam-1847	277	48	of	of	ADP
ejpam-1847	277	49	candidate	candidate	NOUN
ejpam-1847	277	50	models	model	NOUN
ejpam-1847	277	51	.	.	PUNCT
ejpam-1847	278	1	secondly	secondly	ADV
ejpam-1847	278	2	,	,	PUNCT
ejpam-1847	278	3	one	one	NUM
ejpam-1847	278	4	important	important	ADJ
ejpam-1847	278	5	issue	issue	NOUN
ejpam-1847	278	6	in	in	ADP
ejpam-1847	278	7	generating	generate	VERB
ejpam-1847	278	8	a	a	DET
ejpam-1847	278	9	sample	sample	NOUN
ejpam-1847	278	10	by	by	ADP
ejpam-1847	278	11	the	the	DET
ejpam-1847	278	12	gibbs	gibbs	PROPN
ejpam-1847	278	13	sampler	sampler	NOUN
ejpam-1847	278	14	method	method	NOUN
ejpam-1847	278	15	is	be	AUX
ejpam-1847	278	16	to	to	PART
ejpam-1847	278	17	determine	determine	VERB
ejpam-1847	278	18	from	from	ADP
ejpam-1847	278	19	which	which	DET
ejpam-1847	278	20	point	point	NOUN
ejpam-1847	278	21	on	on	ADP
ejpam-1847	278	22	we	we	PRON
ejpam-1847	278	23	can	can	AUX
ejpam-1847	278	24	say	say	VERB
ejpam-1847	278	25	the	the	DET
ejpam-1847	278	26	sequence	sequence	NOUN
ejpam-1847	278	27	of	of	ADP
ejpam-1847	278	28	the	the	DET
ejpam-1847	278	29	generated	generate	VERB
ejpam-1847	278	30	models	model	NOUN
ejpam-1847	278	31	becomes	become	VERB
ejpam-1847	278	32	stationary	stationary	ADJ
ejpam-1847	278	33	and	and	CCONJ
ejpam-1847	278	34	can	can	AUX
ejpam-1847	278	35	be	be	AUX
ejpam-1847	278	36	regarded	regard	VERB
ejpam-1847	278	37	as	as	ADP
ejpam-1847	278	38	a	a	DET
ejpam-1847	278	39	random	random	ADJ
ejpam-1847	278	40	sample	sample	NOUN
ejpam-1847	278	41	from	from	ADP
ejpam-1847	278	42	pvscλ(v	pvscλ(v	PROPN
ejpam-1847	278	43	)	)	PUNCT
ejpam-1847	278	44	.	.	PUNCT
ejpam-1847	279	1	actually	actually	ADV
ejpam-1847	279	2	the	the	DET
ejpam-1847	279	3	generated	generate	VERB
ejpam-1847	279	4	sequence	sequence	NOUN
ejpam-1847	279	5	v	v	NOUN
ejpam-1847	279	6	(	(	PUNCT
ejpam-1847	279	7	1	1	NUM
ejpam-1847	279	8	)	)	PUNCT
ejpam-1847	279	9	,	,	PUNCT
ejpam-1847	279	10	.	.	PUNCT
ejpam-1847	279	11	.	.	PUNCT
ejpam-1847	279	12	.	.	PUNCT
ejpam-1847	280	1	,	,	PUNCT
ejpam-1847	280	2	v	v	X
ejpam-1847	280	3	(	(	PUNCT
ejpam-1847	280	4	h	h	NOUN
ejpam-1847	280	5	)	)	PUNCT
ejpam-1847	280	6	is	be	AUX
ejpam-1847	280	7	a	a	DET
ejpam-1847	280	8	markov	markov	NOUN
ejpam-1847	280	9	chain	chain	NOUN
ejpam-1847	280	10	as	as	ADP
ejpam-1847	280	11	any	any	DET
ejpam-1847	280	12	other	other	ADJ
ejpam-1847	280	13	sample	sample	NOUN
ejpam-1847	280	14	sequence	sequence	NOUN
ejpam-1847	280	15	generated	generate	VERB
ejpam-1847	280	16	by	by	ADP
ejpam-1847	280	17	a	a	DET
ejpam-1847	280	18	markov	markov	NOUN
ejpam-1847	280	19	chain	chain	NOUN
ejpam-1847	280	20	monte	monte	PROPN
ejpam-1847	280	21	carlo	carlo	PROPN
ejpam-1847	280	22	method	method	NOUN
ejpam-1847	280	23	.	.	PUNCT
ejpam-1847	281	1	thus	thus	ADV
ejpam-1847	281	2	,	,	PUNCT
ejpam-1847	281	3	the	the	DET
ejpam-1847	281	4	sequence	sequence	NOUN
ejpam-1847	281	5	usually	usually	ADV
ejpam-1847	281	6	takes	take	VERB
ejpam-1847	281	7	a	a	DET
ejpam-1847	281	8	burn	burn	NOUN
ejpam-1847	281	9	-	-	PUNCT
ejpam-1847	281	10	in	in	ADP
ejpam-1847	281	11	period	period	NOUN
ejpam-1847	281	12	to	to	PART
ejpam-1847	281	13	reach	reach	VERB
ejpam-1847	281	14	the	the	DET
ejpam-1847	281	15	equilibrium	equilibrium	NOUN
ejpam-1847	281	16	.	.	PUNCT
ejpam-1847	282	1	when	when	SCONJ
ejpam-1847	282	2	a	a	DET
ejpam-1847	282	3	sequence	sequence	NOUN
ejpam-1847	282	4	of	of	ADP
ejpam-1847	282	5	var	var	NOUN
ejpam-1847	282	6	models	model	NOUN
ejpam-1847	282	7	v	v	ADP
ejpam-1847	282	8	(	(	PUNCT
ejpam-1847	282	9	1	1	NUM
ejpam-1847	282	10	)	)	PUNCT
ejpam-1847	282	11	,	,	PUNCT
ejpam-1847	282	12	.	.	PUNCT
ejpam-1847	282	13	.	.	PUNCT
ejpam-1847	283	1	.	.	PUNCT
ejpam-1847	284	1	,	,	PUNCT
ejpam-1847	284	2	v	v	X
ejpam-1847	284	3	(	(	PUNCT
ejpam-1847	284	4	h	h	NOUN
ejpam-1847	284	5	)	)	PUNCT
ejpam-1847	284	6	are	be	AUX
ejpam-1847	284	7	generated	generate	VERB
ejpam-1847	284	8	,	,	PUNCT
ejpam-1847	284	9	at	at	ADP
ejpam-1847	284	10	the	the	DET
ejpam-1847	284	11	same	same	ADJ
ejpam-1847	284	12	time	time	NOUN
ejpam-1847	284	13	we	we	PRON
ejpam-1847	284	14	can	can	AUX
ejpam-1847	284	15	obtain	obtain	VERB
ejpam-1847	284	16	the	the	DET
ejpam-1847	284	17	associated	associated	ADJ
ejpam-1847	284	18	sequence	sequence	NOUN
ejpam-1847	284	19	of	of	ADP
ejpam-1847	284	20	the	the	DET
ejpam-1847	284	21	criterion	criterion	NOUN
ejpam-1847	284	22	values	value	NOUN
ejpam-1847	284	23	vmsc(v	vmsc(v	NOUN
ejpam-1847	284	24	(	(	PUNCT
ejpam-1847	284	25	1	1	NUM
ejpam-1847	284	26	)	)	PUNCT
ejpam-1847	284	27	)	)	PUNCT
ejpam-1847	284	28	,	,	PUNCT
ejpam-1847	284	29	.	.	PUNCT
ejpam-1847	284	30	.	.	PUNCT
ejpam-1847	285	1	.	.	PUNCT
ejpam-1847	286	1	,	,	PUNCT
ejpam-1847	286	2	vmsc(v	vmsc(v	NOUN
ejpam-1847	286	3	(	(	PUNCT
ejpam-1847	286	4	h	h	NOUN
ejpam-1847	286	5	)	)	PUNCT
ejpam-1847	286	6	)	)	PUNCT
ejpam-1847	286	7	.	.	PUNCT
ejpam-1847	287	1	obviously	obviously	ADV
ejpam-1847	287	2	,	,	PUNCT
ejpam-1847	287	3	with	with	ADP
ejpam-1847	287	4	probability	probability	NOUN
ejpam-1847	287	5	1	1	NUM
ejpam-1847	287	6	there	there	PRON
ejpam-1847	287	7	is	be	VERB
ejpam-1847	287	8	a	a	DET
ejpam-1847	287	9	one	one	NUM
ejpam-1847	287	10	-	-	PUNCT
ejpam-1847	287	11	to	to	ADP
ejpam-1847	287	12	-	-	PUNCT
ejpam-1847	287	13	one	one	NUM
ejpam-1847	287	14	correspondence	correspondence	NOUN
ejpam-1847	287	15	between	between	ADP
ejpam-1847	287	16	v	v	NOUN
ejpam-1847	287	17	and	and	CCONJ
ejpam-1847	287	18	vmsc(v	vmsc(v	NOUN
ejpam-1847	287	19	)	)	PUNCT
ejpam-1847	287	20	.	.	PUNCT
ejpam-1847	288	1	determining	determine	VERB
ejpam-1847	288	2	when	when	SCONJ
ejpam-1847	288	3	the	the	DET
ejpam-1847	288	4	sequence	sequence	NOUN
ejpam-1847	288	5	reaches	reach	VERB
ejpam-1847	288	6	equilibrium	equilibrium	NOUN
ejpam-1847	288	7	can	can	AUX
ejpam-1847	288	8	thus	thus	ADV
ejpam-1847	288	9	be	be	AUX
ejpam-1847	288	10	equivalently	equivalently	ADV
ejpam-1847	288	11	done	do	VERB
ejpam-1847	288	12	by	by	ADP
ejpam-1847	288	13	checking	check	VERB
ejpam-1847	288	14	whether	whether	SCONJ
ejpam-1847	288	15	the	the	DET
ejpam-1847	288	16	corresponding	correspond	VERB
ejpam-1847	288	17	sequence	sequence	NOUN
ejpam-1847	288	18	of	of	ADP
ejpam-1847	288	19	the	the	DET
ejpam-1847	288	20	vmsc	vmsc	NOUN
ejpam-1847	288	21	values	value	NOUN
ejpam-1847	288	22	is	be	AUX
ejpam-1847	288	23	stationary	stationary	ADJ
ejpam-1847	288	24	from	from	ADP
ejpam-1847	288	25	some	some	DET
ejpam-1847	288	26	point	point	NOUN
ejpam-1847	288	27	on	on	ADP
ejpam-1847	288	28	.	.	PUNCT
ejpam-1847	289	1	so	so	ADV
ejpam-1847	289	2	the	the	DET
ejpam-1847	289	3	equilibrium	equilibrium	NOUN
ejpam-1847	289	4	of	of	ADP
ejpam-1847	289	5	v	v	NOUN
ejpam-1847	289	6	(	(	PUNCT
ejpam-1847	289	7	1	1	NUM
ejpam-1847	289	8	)	)	PUNCT
ejpam-1847	289	9	,	,	PUNCT
ejpam-1847	289	10	.	.	PUNCT
ejpam-1847	289	11	.	.	PUNCT
ejpam-1847	290	1	.	.	PUNCT
ejpam-1847	291	1	,	,	PUNCT
ejpam-1847	291	2	v	v	X
ejpam-1847	291	3	(	(	PUNCT
ejpam-1847	291	4	h	h	NOUN
ejpam-1847	291	5	)	)	PUNCT
ejpam-1847	291	6	implies	imply	VERB
ejpam-1847	291	7	the	the	DET
ejpam-1847	291	8	stationarity	stationarity	NOUN
ejpam-1847	291	9	of	of	ADP
ejpam-1847	291	10	vmsc(v	vmsc(v	PROPN
ejpam-1847	291	11	(	(	PUNCT
ejpam-1847	291	12	1	1	NUM
ejpam-1847	291	13	)	)	PUNCT
ejpam-1847	291	14	)	)	PUNCT
ejpam-1847	291	15	,	,	PUNCT
ejpam-1847	291	16	.	.	PUNCT
ejpam-1847	291	17	.	.	PUNCT
ejpam-1847	292	1	.	.	PUNCT
ejpam-1847	292	2	,	,	PUNCT
ejpam-1847	293	1	vmsc(v	vmsc(v	NOUN
ejpam-1847	293	2	(	(	PUNCT
ejpam-1847	293	3	h	h	NOUN
ejpam-1847	293	4	)	)	PUNCT
ejpam-1847	293	5	)	)	PUNCT
ejpam-1847	293	6	,	,	PUNCT
ejpam-1847	293	7	and	and	CCONJ
ejpam-1847	293	8	vice	vice	ADV
ejpam-1847	293	9	versa	versa	ADV
ejpam-1847	293	10	.	.	PUNCT
ejpam-1847	294	1	in	in	ADP
ejpam-1847	294	2	this	this	DET
ejpam-1847	294	3	paper	paper	NOUN
ejpam-1847	294	4	,	,	PUNCT
ejpam-1847	294	5	we	we	PRON
ejpam-1847	294	6	will	will	AUX
ejpam-1847	294	7	apply	apply	VERB
ejpam-1847	294	8	the	the	DET
ejpam-1847	294	9	χ2	χ2	PROPN
ejpam-1847	294	10	test	test	NOUN
ejpam-1847	294	11	proposed	propose	VERB
ejpam-1847	294	12	by	by	ADP
ejpam-1847	294	13	qian	qian	PROPN
ejpam-1847	294	14	and	and	CCONJ
ejpam-1847	294	15	field	field	NOUN
ejpam-1847	295	1	[	[	X
ejpam-1847	295	2	28	28	NUM
ejpam-1847	295	3	]	]	PUNCT
ejpam-1847	295	4	to	to	PART
ejpam-1847	295	5	check	check	VERB
ejpam-1847	295	6	the	the	DET
ejpam-1847	295	7	stationarity	stationarity	NOUN
ejpam-1847	295	8	of	of	ADP
ejpam-1847	295	9	the	the	DET
ejpam-1847	295	10	generated	generate	VERB
ejpam-1847	295	11	models	model	NOUN
ejpam-1847	295	12	in	in	ADP
ejpam-1847	295	13	terms	term	NOUN
ejpam-1847	295	14	of	of	ADP
ejpam-1847	295	15	the	the	DET
ejpam-1847	295	16	associated	associated	ADJ
ejpam-1847	295	17	vmsc	vmsc	NOUN
ejpam-1847	295	18	values	value	NOUN
ejpam-1847	295	19	.	.	PUNCT
ejpam-1847	296	1	thirdly	thirdly	ADV
ejpam-1847	296	2	,	,	PUNCT
ejpam-1847	296	3	another	another	DET
ejpam-1847	296	4	important	important	ADJ
ejpam-1847	296	5	issue	issue	NOUN
ejpam-1847	296	6	is	be	AUX
ejpam-1847	296	7	how	how	SCONJ
ejpam-1847	296	8	to	to	PART
ejpam-1847	296	9	set	set	VERB
ejpam-1847	296	10	the	the	DET
ejpam-1847	296	11	starting	start	VERB
ejpam-1847	296	12	values	value	NOUN
ejpam-1847	296	13	in	in	ADP
ejpam-1847	296	14	the	the	DET
ejpam-1847	296	15	gibbs	gibbs	PROPN
ejpam-1847	296	16	sampler	sampler	NOUN
ejpam-1847	296	17	.	.	PUNCT
ejpam-1847	297	1	if	if	SCONJ
ejpam-1847	297	2	the	the	DET
ejpam-1847	297	3	markov	markov	NOUN
ejpam-1847	297	4	chain	chain	NOUN
ejpam-1847	297	5	being	be	AUX
ejpam-1847	297	6	generated	generate	VERB
ejpam-1847	297	7	is	be	AUX
ejpam-1847	297	8	ergodic	ergodic	ADJ
ejpam-1847	297	9	,	,	PUNCT
ejpam-1847	297	10	which	which	PRON
ejpam-1847	297	11	is	be	AUX
ejpam-1847	297	12	the	the	DET
ejpam-1847	297	13	case	case	NOUN
ejpam-1847	297	14	for	for	ADP
ejpam-1847	297	15	the	the	DET
ejpam-1847	297	16	current	current	ADJ
ejpam-1847	297	17	var	var	NOUN
ejpam-1847	297	18	model	model	NOUN
ejpam-1847	297	19	selection	selection	NOUN
ejpam-1847	297	20	problem	problem	NOUN
ejpam-1847	297	21	,	,	PUNCT
ejpam-1847	297	22	the	the	DET
ejpam-1847	297	23	stationary	stationary	ADJ
ejpam-1847	297	24	distribution	distribution	NOUN
ejpam-1847	297	25	of	of	ADP
ejpam-1847	297	26	the	the	DET
ejpam-1847	297	27	markov	markov	NOUN
ejpam-1847	297	28	chain	chain	NOUN
ejpam-1847	297	29	,	,	PUNCT
ejpam-1847	297	30	i.e.	i.e.	X
ejpam-1847	297	31	pvscλ	pvscλ	NOUN
ejpam-1847	297	32	,	,	PUNCT
ejpam-1847	297	33	will	will	AUX
ejpam-1847	297	34	be	be	AUX
ejpam-1847	297	35	unique	unique	ADJ
ejpam-1847	297	36	,	,	PUNCT
ejpam-1847	297	37	and	and	CCONJ
ejpam-1847	297	38	be	be	AUX
ejpam-1847	297	39	independent	independent	ADJ
ejpam-1847	297	40	of	of	ADP
ejpam-1847	297	41	the	the	DET
ejpam-1847	297	42	starting	starting	NOUN
ejpam-1847	297	43	value	value	NOUN
ejpam-1847	297	44	used	use	VERB
ejpam-1847	297	45	.	.	PUNCT
ejpam-1847	298	1	however	however	ADV
ejpam-1847	298	2	,	,	PUNCT
ejpam-1847	298	3	the	the	DET
ejpam-1847	298	4	starting	starting	NOUN
ejpam-1847	298	5	value	value	NOUN
ejpam-1847	298	6	in	in	ADP
ejpam-1847	298	7	general	general	ADJ
ejpam-1847	298	8	affects	affect	VERB
ejpam-1847	298	9	the	the	DET
ejpam-1847	298	10	finite	finite	ADJ
ejpam-1847	298	11	-	-	ADJ
ejpam-1847	298	12	sample	sample	ADJ
ejpam-1847	298	13	speed	speed	NOUN
ejpam-1847	298	14	of	of	ADP
ejpam-1847	298	15	mixing	mix	VERB
ejpam-1847	298	16	.	.	PUNCT
ejpam-1847	299	1	thus	thus	ADV
ejpam-1847	299	2	one	one	PRON
ejpam-1847	299	3	may	may	AUX
ejpam-1847	299	4	need	need	VERB
ejpam-1847	299	5	to	to	PART
ejpam-1847	299	6	choose	choose	VERB
ejpam-1847	299	7	the	the	DET
ejpam-1847	299	8	starting	starting	NOUN
ejpam-1847	299	9	value	value	NOUN
ejpam-1847	299	10	carefully	carefully	ADV
ejpam-1847	299	11	.	.	PUNCT
ejpam-1847	300	1	in	in	ADP
ejpam-1847	300	2	our	our	PRON
ejpam-1847	300	3	simulation	simulation	NOUN
ejpam-1847	300	4	study	study	NOUN
ejpam-1847	300	5	,	,	PUNCT
ejpam-1847	300	6	we	we	PRON
ejpam-1847	300	7	find	find	VERB
ejpam-1847	300	8	that	that	SCONJ
ejpam-1847	300	9	different	different	ADJ
ejpam-1847	300	10	starting	starting	NOUN
ejpam-1847	300	11	values	value	NOUN
ejpam-1847	300	12	have	have	VERB
ejpam-1847	300	13	minor	minor	ADJ
ejpam-1847	300	14	effects	effect	NOUN
ejpam-1847	300	15	on	on	ADP
ejpam-1847	300	16	the	the	DET
ejpam-1847	300	17	finitesample	finitesample	NOUN
ejpam-1847	300	18	convergence	convergence	NOUN
ejpam-1847	300	19	rate	rate	NOUN
ejpam-1847	300	20	.	.	PUNCT
ejpam-1847	301	1	hence	hence	ADV
ejpam-1847	301	2	it	it	PRON
ejpam-1847	301	3	is	be	AUX
ejpam-1847	301	4	safe	safe	ADJ
ejpam-1847	301	5	to	to	PART
ejpam-1847	301	6	use	use	VERB
ejpam-1847	301	7	a	a	DET
ejpam-1847	301	8	simple	simple	ADJ
ejpam-1847	301	9	var	var	NOUN
ejpam-1847	301	10	candidate	candidate	NOUN
ejpam-1847	301	11	model	model	NOUN
ejpam-1847	301	12	as	as	ADP
ejpam-1847	301	13	the	the	DET
ejpam-1847	301	14	starting	starting	NOUN
ejpam-1847	301	15	value	value	NOUN
ejpam-1847	301	16	.	.	PUNCT
ejpam-1847	302	1	fourthly	fourthly	ADV
ejpam-1847	302	2	,	,	PUNCT
ejpam-1847	302	3	the	the	DET
ejpam-1847	302	4	order	order	NOUN
ejpam-1847	302	5	of	of	ADP
ejpam-1847	302	6	updating	update	VERB
ejpam-1847	302	7	the	the	DET
ejpam-1847	302	8	components	component	NOUN
ejpam-1847	302	9	in	in	ADP
ejpam-1847	302	10	v	v	NOUN
ejpam-1847	302	11	in	in	ADP
ejpam-1847	302	12	each	each	DET
ejpam-1847	302	13	iteration	iteration	NOUN
ejpam-1847	302	14	could	could	AUX
ejpam-1847	302	15	also	also	ADV
ejpam-1847	302	16	affect	affect	VERB
ejpam-1847	302	17	the	the	DET
ejpam-1847	302	18	finite	finite	ADJ
ejpam-1847	302	19	-	-	ADJ
ejpam-1847	302	20	sample	sample	ADJ
ejpam-1847	302	21	speed	speed	NOUN
ejpam-1847	302	22	of	of	ADP
ejpam-1847	302	23	mixing	mix	VERB
ejpam-1847	302	24	.	.	PUNCT
ejpam-1847	303	1	from	from	ADP
ejpam-1847	303	2	our	our	PRON
ejpam-1847	303	3	previous	previous	ADJ
ejpam-1847	303	4	experience	experience	NOUN
ejpam-1847	303	5	,	,	PUNCT
ejpam-1847	303	6	when	when	SCONJ
ejpam-1847	303	7	the	the	DET
ejpam-1847	303	8	order	order	NOUN
ejpam-1847	303	9	of	of	ADP
ejpam-1847	303	10	the	the	DET
ejpam-1847	303	11	true	true	ADJ
ejpam-1847	303	12	model	model	NOUN
ejpam-1847	303	13	is	be	AUX
ejpam-1847	303	14	much	much	ADV
ejpam-1847	303	15	lower	low	ADJ
ejpam-1847	303	16	than	than	ADP
ejpam-1847	303	17	that	that	PRON
ejpam-1847	303	18	of	of	ADP
ejpam-1847	303	19	the	the	DET
ejpam-1847	303	20	full	full	ADJ
ejpam-1847	303	21	model	model	NOUN
ejpam-1847	303	22	,	,	PUNCT
ejpam-1847	303	23	we	we	PRON
ejpam-1847	303	24	should	should	AUX
ejpam-1847	303	25	start	start	VERB
ejpam-1847	303	26	updating	update	VERB
ejpam-1847	303	27	from	from	ADP
ejpam-1847	303	28	the	the	DET
ejpam-1847	303	29	high	high	ADJ
ejpam-1847	303	30	order	order	NOUN
ejpam-1847	303	31	.	.	PUNCT
ejpam-1847	304	1	however	however	ADV
ejpam-1847	304	2	,	,	PUNCT
ejpam-1847	304	3	in	in	ADP
ejpam-1847	304	4	the	the	DET
ejpam-1847	304	5	simulation	simulation	NOUN
ejpam-1847	304	6	study	study	NOUN
ejpam-1847	304	7	of	of	ADP
ejpam-1847	304	8	this	this	DET
ejpam-1847	304	9	paper	paper	NOUN
ejpam-1847	304	10	,	,	PUNCT
ejpam-1847	304	11	it	it	PRON
ejpam-1847	304	12	does	do	AUX
ejpam-1847	304	13	not	not	PART
ejpam-1847	304	14	seem	seem	VERB
ejpam-1847	304	15	that	that	SCONJ
ejpam-1847	304	16	the	the	DET
ejpam-1847	304	17	order	order	NOUN
ejpam-1847	304	18	of	of	ADP
ejpam-1847	304	19	updating	updating	NOUN
ejpam-1847	304	20	affects	affect	VERB
ejpam-1847	304	21	the	the	DET
ejpam-1847	304	22	finite	finite	ADJ
ejpam-1847	304	23	-	-	ADJ
ejpam-1847	304	24	sample	sample	ADJ
ejpam-1847	304	25	speed	speed	NOUN
ejpam-1847	304	26	of	of	ADP
ejpam-1847	304	27	mixing	mix	VERB
ejpam-1847	304	28	.	.	PUNCT
ejpam-1847	305	1	fifthly	fifthly	ADV
ejpam-1847	305	2	,	,	PUNCT
ejpam-1847	305	3	some	some	DET
ejpam-1847	305	4	candidate	candidate	NOUN
ejpam-1847	305	5	var	var	NOUN
ejpam-1847	305	6	models	model	NOUN
ejpam-1847	305	7	may	may	AUX
ejpam-1847	305	8	be	be	AUX
ejpam-1847	305	9	numerically	numerically	ADV
ejpam-1847	305	10	not	not	PART
ejpam-1847	305	11	stable	stable	ADJ
ejpam-1847	305	12	.	.	PUNCT
ejpam-1847	306	1	this	this	PRON
ejpam-1847	306	2	happens	happen	VERB
ejpam-1847	306	3	when	when	SCONJ
ejpam-1847	306	4	we	we	PRON
ejpam-1847	306	5	calculate	calculate	VERB
ejpam-1847	306	6	the	the	DET
ejpam-1847	306	7	ols	ol	NOUN
ejpam-1847	306	8	estimate	estimate	NOUN
ejpam-1847	306	9	of	of	ADP
ejpam-1847	306	10	(	(	PUNCT
ejpam-1847	306	11	φ0,φ1	φ0,φ1	PROPN
ejpam-1847	306	12	.	.	PUNCT
ejpam-1847	306	13	.	.	PUNCT
ejpam-1847	307	1	.φp	.φp	NUM
ejpam-1847	307	2	)	)	PUNCT
ejpam-1847	308	1	to	to	PART
ejpam-1847	308	2	form	form	VERB
ejpam-1847	308	3	an	an	DET
ejpam-1847	308	4	initial	initial	ADJ
ejpam-1847	308	5	estimate	estimate	NOUN
ejpam-1847	308	6	of	of	ADP
ejpam-1847	308	7	the	the	DET
ejpam-1847	308	8	coefficients	coefficient	NOUN
ejpam-1847	308	9	.	.	PUNCT
ejpam-1847	309	1	if	if	SCONJ
ejpam-1847	309	2	this	this	PRON
ejpam-1847	309	3	is	be	AUX
ejpam-1847	309	4	the	the	DET
ejpam-1847	309	5	case	case	NOUN
ejpam-1847	309	6	,	,	PUNCT
ejpam-1847	309	7	we	we	PRON
ejpam-1847	309	8	will	will	AUX
ejpam-1847	309	9	simply	simply	ADV
ejpam-1847	309	10	not	not	PART
ejpam-1847	309	11	have	have	VERB
ejpam-1847	309	12	these	these	DET
ejpam-1847	309	13	models	model	NOUN
ejpam-1847	309	14	to	to	PART
ejpam-1847	309	15	be	be	AUX
ejpam-1847	309	16	included	include	VERB
ejpam-1847	309	17	in	in	ADP
ejpam-1847	309	18	the	the	DET
ejpam-1847	309	19	model	model	NOUN
ejpam-1847	309	20	sequence	sequence	NOUN
ejpam-1847	309	21	generated	generate	VERB
ejpam-1847	309	22	by	by	ADP
ejpam-1847	309	23	the	the	DET
ejpam-1847	309	24	gibbs	gibbs	PROPN
ejpam-1847	309	25	sampler	sampler	NOUN
ejpam-1847	309	26	.	.	PUNCT
ejpam-1847	310	1	namely	namely	ADV
ejpam-1847	310	2	,	,	PUNCT
ejpam-1847	310	3	a	a	DET
ejpam-1847	310	4	vi	vi	NOUN
ejpam-1847	310	5	,	,	PUNCT
ejpam-1847	310	6	jk	jk	PROPN
ejpam-1847	310	7	will	will	AUX
ejpam-1847	310	8	stay	stay	VERB
ejpam-1847	310	9	at	at	ADP
ejpam-1847	310	10	its	its	PRON
ejpam-1847	310	11	current	current	ADJ
ejpam-1847	310	12	value	value	NOUN
ejpam-1847	310	13	if	if	SCONJ
ejpam-1847	310	14	updating	update	VERB
ejpam-1847	310	15	it	it	PRON
ejpam-1847	310	16	to	to	ADP
ejpam-1847	310	17	the	the	DET
ejpam-1847	310	18	other	other	ADJ
ejpam-1847	310	19	value	value	NOUN
ejpam-1847	310	20	will	will	AUX
ejpam-1847	310	21	cause	cause	VERB
ejpam-1847	310	22	the	the	DET
ejpam-1847	310	23	corresponding	correspond	VERB
ejpam-1847	310	24	model	model	NOUN
ejpam-1847	310	25	to	to	PART
ejpam-1847	310	26	be	be	AUX
ejpam-1847	310	27	instable	instable	ADJ
ejpam-1847	310	28	;	;	PUNCT
ejpam-1847	310	29	and	and	CCONJ
ejpam-1847	310	30	the	the	DET
ejpam-1847	310	31	procedure	procedure	NOUN
ejpam-1847	310	32	will	will	AUX
ejpam-1847	310	33	proceed	proceed	VERB
ejpam-1847	310	34	to	to	PART
ejpam-1847	310	35	update	update	VERB
ejpam-1847	310	36	the	the	DET
ejpam-1847	310	37	next	next	ADJ
ejpam-1847	310	38	vi	vi	PROPN
ejpam-1847	310	39	,	,	PUNCT
ejpam-1847	310	40	jk	jk	PROPN
ejpam-1847	310	41	.	.	PUNCT
ejpam-1847	311	1	an	an	DET
ejpam-1847	311	2	instable	instable	ADJ
ejpam-1847	311	3	model	model	NOUN
ejpam-1847	311	4	is	be	AUX
ejpam-1847	311	5	definitely	definitely	ADV
ejpam-1847	311	6	not	not	PART
ejpam-1847	311	7	competitive	competitive	ADJ
ejpam-1847	311	8	.	.	PUNCT
ejpam-1847	312	1	thus	thus	ADV
ejpam-1847	312	2	excluding	exclude	VERB
ejpam-1847	312	3	such	such	DET
ejpam-1847	312	4	a	a	DET
ejpam-1847	312	5	model	model	NOUN
ejpam-1847	312	6	in	in	ADP
ejpam-1847	312	7	gibbs	gibbs	PROPN
ejpam-1847	312	8	sampling	sampling	NOUN
ejpam-1847	312	9	will	will	AUX
ejpam-1847	312	10	not	not	PART
ejpam-1847	312	11	affect	affect	VERB
ejpam-1847	312	12	the	the	DET
ejpam-1847	312	13	selection	selection	NOUN
ejpam-1847	312	14	of	of	ADP
ejpam-1847	312	15	the	the	DET
ejpam-1847	312	16	competitive	competitive	ADJ
ejpam-1847	312	17	models	model	NOUN
ejpam-1847	312	18	.	.	PUNCT
ejpam-1847	313	1	finally	finally	ADV
ejpam-1847	313	2	,	,	PUNCT
ejpam-1847	313	3	the	the	DET
ejpam-1847	313	4	tuning	tuning	NOUN
ejpam-1847	313	5	parameter	parameter	NOUN
ejpam-1847	313	6	λ	λ	PROPN
ejpam-1847	313	7	plays	play	VERB
ejpam-1847	313	8	an	an	DET
ejpam-1847	313	9	important	important	ADJ
ejpam-1847	313	10	role	role	NOUN
ejpam-1847	313	11	in	in	ADP
ejpam-1847	313	12	our	our	PRON
ejpam-1847	313	13	simulation	simulation	NOUN
ejpam-1847	313	14	.	.	PUNCT
ejpam-1847	314	1	when	when	SCONJ
ejpam-1847	314	2	there	there	PRON
ejpam-1847	314	3	are	be	VERB
ejpam-1847	314	4	several	several	ADJ
ejpam-1847	314	5	competitive	competitive	ADJ
ejpam-1847	314	6	candidate	candidate	NOUN
ejpam-1847	314	7	models	model	NOUN
ejpam-1847	314	8	whose	whose	DET
ejpam-1847	314	9	criterion	criterion	NOUN
ejpam-1847	314	10	values	value	NOUN
ejpam-1847	314	11	are	be	AUX
ejpam-1847	314	12	very	very	ADV
ejpam-1847	314	13	close	close	ADJ
ejpam-1847	314	14	to	to	ADP
ejpam-1847	314	15	that	that	PRON
ejpam-1847	314	16	of	of	ADP
ejpam-1847	314	17	the	the	DET
ejpam-1847	314	18	best	good	ADJ
ejpam-1847	314	19	model	model	NOUN
ejpam-1847	314	20	,	,	PUNCT
ejpam-1847	314	21	the	the	DET
ejpam-1847	314	22	distribution	distribution	NOUN
ejpam-1847	314	23	of	of	ADP
ejpam-1847	314	24	pvsc	pvsc	NOUN
ejpam-1847	314	25	is	be	AUX
ejpam-1847	314	26	likely	likely	ADJ
ejpam-1847	314	27	to	to	PART
ejpam-1847	314	28	be	be	AUX
ejpam-1847	314	29	multimodal	multimodal	ADJ
ejpam-1847	314	30	.	.	PUNCT
ejpam-1847	315	1	in	in	ADP
ejpam-1847	315	2	the	the	DET
ejpam-1847	315	3	simulation	simulation	NOUN
ejpam-1847	315	4	if	if	SCONJ
ejpam-1847	315	5	a	a	DET
ejpam-1847	315	6	competitive	competitive	ADJ
ejpam-1847	315	7	model	model	NOUN
ejpam-1847	315	8	considered	consider	VERB
ejpam-1847	315	9	as	as	ADP
ejpam-1847	315	10	a	a	DET
ejpam-1847	315	11	local	local	ADJ
ejpam-1847	315	12	optimizer	optimizer	NOUN
ejpam-1847	315	13	is	be	AUX
ejpam-1847	315	14	first	first	ADV
ejpam-1847	315	15	reached	reach	VERB
ejpam-1847	315	16	,	,	PUNCT
ejpam-1847	315	17	the	the	DET
ejpam-1847	315	18	model	model	NOUN
ejpam-1847	315	19	generating	generating	NOUN
ejpam-1847	315	20	process	process	NOUN
ejpam-1847	315	21	will	will	AUX
ejpam-1847	315	22	try	try	VERB
ejpam-1847	315	23	to	to	PART
ejpam-1847	315	24	jump	jump	VERB
ejpam-1847	315	25	from	from	ADP
ejpam-1847	315	26	this	this	DET
ejpam-1847	315	27	competitive	competitive	ADJ
ejpam-1847	315	28	model	model	NOUN
ejpam-1847	315	29	to	to	ADP
ejpam-1847	315	30	the	the	DET
ejpam-1847	315	31	best	good	ADJ
ejpam-1847	315	32	model	model	NOUN
ejpam-1847	315	33	noted	note	VERB
ejpam-1847	315	34	as	as	ADP
ejpam-1847	315	35	the	the	DET
ejpam-1847	315	36	global	global	ADJ
ejpam-1847	315	37	optimizer	optimizer	NOUN
ejpam-1847	315	38	.	.	PUNCT
ejpam-1847	316	1	sometimes	sometimes	ADV
ejpam-1847	316	2	such	such	DET
ejpam-1847	316	3	a	a	DET
ejpam-1847	316	4	jump	jump	NOUN
ejpam-1847	316	5	has	have	VERB
ejpam-1847	316	6	to	to	PART
ejpam-1847	316	7	be	be	AUX
ejpam-1847	316	8	done	do	VERB
ejpam-1847	316	9	by	by	ADP
ejpam-1847	316	10	passing	pass	VERB
ejpam-1847	316	11	through	through	ADP
ejpam-1847	316	12	a	a	DET
ejpam-1847	316	13	“	"	PUNCT
ejpam-1847	316	14	troubling	troubling	ADJ
ejpam-1847	316	15	”	"	PUNCT
ejpam-1847	316	16	model	model	NOUN
ejpam-1847	316	17	having	have	VERB
ejpam-1847	316	18	very	very	ADV
ejpam-1847	316	19	high	high	ADJ
ejpam-1847	316	20	criterion	criterion	NOUN
ejpam-1847	316	21	x.zhao	x.zhao	PROPN
ejpam-1847	316	22	,	,	PUNCT
ejpam-1847	316	23	g.	g.	PROPN
ejpam-1847	316	24	qian	qian	PROPN
ejpam-1847	316	25	/	/	SYM
ejpam-1847	316	26	eur	eur	PROPN
ejpam-1847	316	27	.	.	PUNCT
ejpam-1847	317	1	j.	j.	PROPN
ejpam-1847	317	2	pure	pure	PROPN
ejpam-1847	317	3	appl	appl	PROPN
ejpam-1847	317	4	.	.	PROPN
ejpam-1847	317	5	math	math	PROPN
ejpam-1847	317	6	,	,	PUNCT
ejpam-1847	317	7	7	7	NUM
ejpam-1847	317	8	(	(	PUNCT
ejpam-1847	317	9	2014	2014	NUM
ejpam-1847	317	10	)	)	PUNCT
ejpam-1847	317	11	,	,	PUNCT
ejpam-1847	317	12	1	1	NUM
ejpam-1847	317	13	-	-	SYM
ejpam-1847	317	14	21	21	NUM
ejpam-1847	317	15	11	11	NUM
ejpam-1847	317	16	value	value	NOUN
ejpam-1847	317	17	in	in	ADP
ejpam-1847	317	18	comparison	comparison	NOUN
ejpam-1847	317	19	to	to	ADP
ejpam-1847	317	20	the	the	DET
ejpam-1847	317	21	local	local	ADJ
ejpam-1847	317	22	optimizer	optimizer	NOUN
ejpam-1847	317	23	.	.	PUNCT
ejpam-1847	318	1	without	without	ADP
ejpam-1847	318	2	tuning	tune	VERB
ejpam-1847	318	3	λ	λ	ADP
ejpam-1847	318	4	the	the	DET
ejpam-1847	318	5	probability	probability	NOUN
ejpam-1847	318	6	of	of	ADP
ejpam-1847	318	7	transition	transition	NOUN
ejpam-1847	318	8	from	from	ADP
ejpam-1847	318	9	a	a	DET
ejpam-1847	318	10	local	local	ADJ
ejpam-1847	318	11	optimizer	optimizer	NOUN
ejpam-1847	318	12	model	model	NOUN
ejpam-1847	318	13	to	to	ADP
ejpam-1847	318	14	the	the	DET
ejpam-1847	318	15	“	"	PUNCT
ejpam-1847	318	16	troubling	troubling	ADJ
ejpam-1847	318	17	”	"	PUNCT
ejpam-1847	318	18	model	model	NOUN
ejpam-1847	318	19	will	will	AUX
ejpam-1847	318	20	be	be	AUX
ejpam-1847	318	21	1/{1	1/{1	NUM
ejpam-1847	318	22	+	+	SYM
ejpam-1847	318	23	exp(∆vmsc	exp(∆vmsc	NOUN
ejpam-1847	318	24	)	)	PUNCT
ejpam-1847	318	25	}	}	PUNCT
ejpam-1847	318	26	,	,	PUNCT
ejpam-1847	318	27	which	which	PRON
ejpam-1847	318	28	can	can	AUX
ejpam-1847	318	29	be	be	AUX
ejpam-1847	318	30	extremely	extremely	ADV
ejpam-1847	318	31	small	small	ADJ
ejpam-1847	318	32	.	.	PUNCT
ejpam-1847	319	1	so	so	ADV
ejpam-1847	319	2	it	it	PRON
ejpam-1847	319	3	is	be	AUX
ejpam-1847	319	4	very	very	ADV
ejpam-1847	319	5	likely	likely	ADJ
ejpam-1847	319	6	that	that	SCONJ
ejpam-1847	319	7	the	the	DET
ejpam-1847	319	8	models	model	NOUN
ejpam-1847	319	9	generated	generate	VERB
ejpam-1847	319	10	would	would	AUX
ejpam-1847	319	11	be	be	AUX
ejpam-1847	319	12	trapped	trap	VERB
ejpam-1847	319	13	in	in	ADP
ejpam-1847	319	14	a	a	DET
ejpam-1847	319	15	neighborhood	neighborhood	NOUN
ejpam-1847	319	16	of	of	ADP
ejpam-1847	319	17	the	the	DET
ejpam-1847	319	18	local	local	ADJ
ejpam-1847	319	19	optimizer	optimizer	NOUN
ejpam-1847	319	20	.	.	PUNCT
ejpam-1847	320	1	in	in	ADP
ejpam-1847	320	2	this	this	DET
ejpam-1847	320	3	situation	situation	NOUN
ejpam-1847	320	4	,	,	PUNCT
ejpam-1847	320	5	setting	set	VERB
ejpam-1847	320	6	λ	λ	NOUN
ejpam-1847	320	7	to	to	PART
ejpam-1847	320	8	be	be	AUX
ejpam-1847	320	9	between	between	ADP
ejpam-1847	320	10	0	0	NUM
ejpam-1847	320	11	and	and	CCONJ
ejpam-1847	320	12	1	1	NUM
ejpam-1847	320	13	would	would	AUX
ejpam-1847	320	14	increase	increase	VERB
ejpam-1847	320	15	the	the	DET
ejpam-1847	320	16	chance	chance	NOUN
ejpam-1847	320	17	of	of	ADP
ejpam-1847	320	18	getting	get	VERB
ejpam-1847	320	19	out	out	ADP
ejpam-1847	320	20	of	of	ADP
ejpam-1847	320	21	the	the	DET
ejpam-1847	320	22	trap	trap	NOUN
ejpam-1847	320	23	.	.	PUNCT
ejpam-1847	321	1	on	on	ADP
ejpam-1847	321	2	the	the	DET
ejpam-1847	321	3	other	other	ADJ
ejpam-1847	321	4	hand	hand	NOUN
ejpam-1847	321	5	,	,	PUNCT
ejpam-1847	321	6	∆vmsc	∆vmsc	PROPN
ejpam-1847	321	7	could	could	AUX
ejpam-1847	321	8	be	be	AUX
ejpam-1847	321	9	negatively	negatively	ADV
ejpam-1847	321	10	very	very	ADV
ejpam-1847	321	11	small	small	ADJ
ejpam-1847	321	12	.	.	PUNCT
ejpam-1847	322	1	then	then	ADV
ejpam-1847	322	2	the	the	DET
ejpam-1847	322	3	model	model	NOUN
ejpam-1847	322	4	generation	generation	NOUN
ejpam-1847	322	5	process	process	NOUN
ejpam-1847	322	6	would	would	AUX
ejpam-1847	322	7	move	move	VERB
ejpam-1847	322	8	to	to	ADP
ejpam-1847	322	9	different	different	ADJ
ejpam-1847	322	10	models	model	NOUN
ejpam-1847	322	11	more	more	ADV
ejpam-1847	322	12	frequently	frequently	ADV
ejpam-1847	322	13	than	than	ADP
ejpam-1847	322	14	necessary	necessary	ADJ
ejpam-1847	322	15	.	.	PUNCT
ejpam-1847	323	1	if	if	SCONJ
ejpam-1847	323	2	this	this	DET
ejpam-1847	323	3	the	the	DET
ejpam-1847	323	4	case	case	NOUN
ejpam-1847	323	5	,	,	PUNCT
ejpam-1847	323	6	setting	set	VERB
ejpam-1847	323	7	λ	λ	NOUN
ejpam-1847	323	8	larger	large	ADJ
ejpam-1847	323	9	than	than	ADP
ejpam-1847	323	10	1	1	NUM
ejpam-1847	323	11	would	would	AUX
ejpam-1847	323	12	help	help	VERB
ejpam-1847	323	13	slow	slow	VERB
ejpam-1847	323	14	down	down	ADP
ejpam-1847	323	15	the	the	DET
ejpam-1847	323	16	movement	movement	NOUN
ejpam-1847	323	17	.	.	PUNCT
ejpam-1847	324	1	from	from	ADP
ejpam-1847	324	2	our	our	PRON
ejpam-1847	324	3	experience	experience	NOUN
ejpam-1847	324	4	,	,	PUNCT
ejpam-1847	324	5	it	it	PRON
ejpam-1847	324	6	is	be	AUX
ejpam-1847	324	7	often	often	ADV
ejpam-1847	324	8	beneficial	beneficial	ADJ
ejpam-1847	324	9	to	to	PART
ejpam-1847	324	10	try	try	VERB
ejpam-1847	324	11	different	different	ADJ
ejpam-1847	324	12	λ	λ	NOUN
ejpam-1847	324	13	values	value	NOUN
ejpam-1847	324	14	to	to	PART
ejpam-1847	324	15	form	form	VERB
ejpam-1847	324	16	several	several	ADJ
ejpam-1847	324	17	short	short	ADJ
ejpam-1847	324	18	chains	chain	NOUN
ejpam-1847	324	19	,	,	PUNCT
ejpam-1847	324	20	then	then	ADV
ejpam-1847	324	21	compare	compare	VERB
ejpam-1847	324	22	their	their	PRON
ejpam-1847	324	23	performances	performance	NOUN
ejpam-1847	324	24	and	and	CCONJ
ejpam-1847	324	25	eventually	eventually	ADV
ejpam-1847	324	26	make	make	VERB
ejpam-1847	324	27	a	a	DET
ejpam-1847	324	28	proper	proper	ADJ
ejpam-1847	324	29	choice	choice	NOUN
ejpam-1847	324	30	of	of	ADP
ejpam-1847	324	31	the	the	DET
ejpam-1847	324	32	value	value	NOUN
ejpam-1847	324	33	of	of	ADP
ejpam-1847	324	34	λ	λ	PROPN
ejpam-1847	324	35	.	.	PROPN
ejpam-1847	324	36	4.4	4.4	NUM
ejpam-1847	324	37	.	.	PUNCT
ejpam-1847	325	1	estimate	estimate	VERB
ejpam-1847	325	2	marginal	marginal	ADJ
ejpam-1847	325	3	distributions	distribution	NOUN
ejpam-1847	325	4	of	of	ADP
ejpam-1847	325	5	the	the	DET
ejpam-1847	325	6	candidate	candidate	NOUN
ejpam-1847	325	7	models	model	NOUN
ejpam-1847	325	8	when	when	SCONJ
ejpam-1847	325	9	a	a	DET
ejpam-1847	325	10	sample	sample	NOUN
ejpam-1847	325	11	of	of	ADP
ejpam-1847	325	12	var	var	NOUN
ejpam-1847	325	13	models	model	NOUN
ejpam-1847	325	14	v	v	ADP
ejpam-1847	325	15	(	(	PUNCT
ejpam-1847	325	16	1	1	NUM
ejpam-1847	325	17	)	)	PUNCT
ejpam-1847	325	18	,	,	PUNCT
ejpam-1847	325	19	.	.	PUNCT
ejpam-1847	325	20	.	.	PUNCT
ejpam-1847	326	1	.	.	PUNCT
ejpam-1847	327	1	,	,	PUNCT
ejpam-1847	327	2	v	v	X
ejpam-1847	327	3	(	(	PUNCT
ejpam-1847	327	4	h	h	NOUN
ejpam-1847	327	5	)	)	PUNCT
ejpam-1847	327	6	is	be	AUX
ejpam-1847	327	7	generated	generate	VERB
ejpam-1847	327	8	by	by	ADP
ejpam-1847	327	9	the	the	DET
ejpam-1847	327	10	gibbs	gibbs	PROPN
ejpam-1847	327	11	sampler	sampler	NOUN
ejpam-1847	327	12	,	,	PUNCT
ejpam-1847	327	13	the	the	DET
ejpam-1847	327	14	vmsc	vmsc	NOUN
ejpam-1847	327	15	value	value	NOUN
ejpam-1847	327	16	of	of	ADP
ejpam-1847	327	17	every	every	DET
ejpam-1847	327	18	var	var	NOUN
ejpam-1847	327	19	model	model	NOUN
ejpam-1847	327	20	is	be	AUX
ejpam-1847	327	21	accordingly	accordingly	ADV
ejpam-1847	327	22	obtained	obtain	VERB
ejpam-1847	327	23	.	.	PUNCT
ejpam-1847	328	1	therefore	therefore	ADV
ejpam-1847	328	2	,	,	PUNCT
ejpam-1847	328	3	we	we	PRON
ejpam-1847	328	4	can	can	AUX
ejpam-1847	328	5	directly	directly	ADV
ejpam-1847	328	6	find	find	VERB
ejpam-1847	328	7	the	the	DET
ejpam-1847	328	8	model	model	NOUN
ejpam-1847	328	9	that	that	PRON
ejpam-1847	328	10	has	have	VERB
ejpam-1847	328	11	the	the	DET
ejpam-1847	328	12	smallest	small	ADJ
ejpam-1847	328	13	vmsc	vmsc	NOUN
ejpam-1847	328	14	value	value	NOUN
ejpam-1847	328	15	in	in	ADP
ejpam-1847	328	16	the	the	DET
ejpam-1847	328	17	sample	sample	NOUN
ejpam-1847	328	18	.	.	PUNCT
ejpam-1847	329	1	this	this	DET
ejpam-1847	329	2	model	model	NOUN
ejpam-1847	329	3	can	can	AUX
ejpam-1847	329	4	be	be	AUX
ejpam-1847	329	5	regarded	regard	VERB
ejpam-1847	329	6	as	as	ADP
ejpam-1847	329	7	an	an	DET
ejpam-1847	329	8	estimate	estimate	NOUN
ejpam-1847	329	9	of	of	ADP
ejpam-1847	329	10	the	the	DET
ejpam-1847	329	11	best	good	ADJ
ejpam-1847	329	12	model	model	NOUN
ejpam-1847	329	13	.	.	PUNCT
ejpam-1847	330	1	the	the	DET
ejpam-1847	330	2	effectiveness	effectiveness	NOUN
ejpam-1847	330	3	of	of	ADP
ejpam-1847	330	4	this	this	DET
ejpam-1847	330	5	procedure	procedure	NOUN
ejpam-1847	330	6	depends	depend	VERB
ejpam-1847	330	7	on	on	ADP
ejpam-1847	330	8	how	how	SCONJ
ejpam-1847	330	9	likely	likely	ADV
ejpam-1847	330	10	the	the	DET
ejpam-1847	330	11	sample	sample	NOUN
ejpam-1847	330	12	of	of	ADP
ejpam-1847	330	13	the	the	DET
ejpam-1847	330	14	models	model	NOUN
ejpam-1847	330	15	generated	generate	VERB
ejpam-1847	330	16	contains	contain	VERB
ejpam-1847	330	17	the	the	DET
ejpam-1847	330	18	best	good	ADJ
ejpam-1847	330	19	model	model	NOUN
ejpam-1847	330	20	v	v	ADP
ejpam-1847	330	21	∗	∗	NOUN
ejpam-1847	330	22	and/or	and/or	CCONJ
ejpam-1847	330	23	the	the	DET
ejpam-1847	330	24	true	true	ADJ
ejpam-1847	330	25	model	model	NOUN
ejpam-1847	330	26	vo	vo	X
ejpam-1847	330	27	.	.	PUNCT
ejpam-1847	331	1	it	it	PRON
ejpam-1847	331	2	is	be	AUX
ejpam-1847	331	3	deemed	deem	VERB
ejpam-1847	331	4	that	that	SCONJ
ejpam-1847	331	5	the	the	DET
ejpam-1847	331	6	best	good	ADJ
ejpam-1847	331	7	model	model	NOUN
ejpam-1847	331	8	v	v	ADP
ejpam-1847	331	9	∗	∗	NOUN
ejpam-1847	331	10	would	would	AUX
ejpam-1847	331	11	converge	converge	VERB
ejpam-1847	331	12	to	to	ADP
ejpam-1847	331	13	the	the	DET
ejpam-1847	331	14	true	true	ADJ
ejpam-1847	331	15	model	model	NOUN
ejpam-1847	331	16	vo	vo	X
ejpam-1847	331	17	under	under	ADP
ejpam-1847	331	18	some	some	DET
ejpam-1847	331	19	general	general	ADJ
ejpam-1847	331	20	conditions	condition	NOUN
ejpam-1847	331	21	.	.	PUNCT
ejpam-1847	332	1	this	this	DET
ejpam-1847	332	2	convergence	convergence	NOUN
ejpam-1847	332	3	was	be	AUX
ejpam-1847	332	4	considered	consider	VERB
ejpam-1847	332	5	by	by	ADP
ejpam-1847	332	6	hannan	hannan	PROPN
ejpam-1847	333	1	[	[	X
ejpam-1847	333	2	17	17	NUM
ejpam-1847	333	3	]	]	PUNCT
ejpam-1847	333	4	for	for	ADP
ejpam-1847	333	5	univariate	univariate	ADJ
ejpam-1847	333	6	arma	arma	NOUN
ejpam-1847	333	7	models	model	NOUN
ejpam-1847	333	8	.	.	PUNCT
ejpam-1847	334	1	we	we	PRON
ejpam-1847	334	2	will	will	AUX
ejpam-1847	334	3	assume	assume	VERB
ejpam-1847	334	4	this	this	DET
ejpam-1847	334	5	convergence	convergence	NOUN
ejpam-1847	334	6	to	to	PART
ejpam-1847	334	7	be	be	AUX
ejpam-1847	334	8	true	true	ADJ
ejpam-1847	334	9	but	but	CCONJ
ejpam-1847	334	10	will	will	AUX
ejpam-1847	334	11	not	not	PART
ejpam-1847	334	12	pursue	pursue	VERB
ejpam-1847	334	13	a	a	DET
ejpam-1847	334	14	rigorous	rigorous	ADJ
ejpam-1847	334	15	justification	justification	NOUN
ejpam-1847	334	16	of	of	ADP
ejpam-1847	334	17	it	it	PRON
ejpam-1847	334	18	here	here	ADV
ejpam-1847	334	19	.	.	PUNCT
ejpam-1847	335	1	keeping	keep	VERB
ejpam-1847	335	2	this	this	PRON
ejpam-1847	335	3	in	in	ADP
ejpam-1847	335	4	mind	mind	NOUN
ejpam-1847	335	5	we	we	PRON
ejpam-1847	335	6	now	now	ADV
ejpam-1847	335	7	present	present	VERB
ejpam-1847	335	8	some	some	DET
ejpam-1847	335	9	asymptotic	asymptotic	ADJ
ejpam-1847	335	10	results	result	NOUN
ejpam-1847	335	11	about	about	ADP
ejpam-1847	335	12	the	the	DET
ejpam-1847	335	13	probability	probability	NOUN
ejpam-1847	335	14	of	of	ADP
ejpam-1847	335	15	selecting	select	VERB
ejpam-1847	335	16	vo	vo	NOUN
ejpam-1847	335	17	,	,	PUNCT
ejpam-1847	335	18	or	or	CCONJ
ejpam-1847	335	19	in	in	ADP
ejpam-1847	335	20	asymptotic	asymptotic	ADJ
ejpam-1847	335	21	equivalence	equivalence	NOUN
ejpam-1847	335	22	,	,	PUNCT
ejpam-1847	335	23	that	that	PRON
ejpam-1847	335	24	of	of	ADP
ejpam-1847	335	25	selecting	select	VERB
ejpam-1847	335	26	v	v	ADP
ejpam-1847	335	27	∗.	∗.	PROPN
ejpam-1847	335	28	first	first	ADV
ejpam-1847	335	29	of	of	ADP
ejpam-1847	335	30	all	all	PRON
ejpam-1847	335	31	,	,	PUNCT
ejpam-1847	335	32	we	we	PRON
ejpam-1847	335	33	need	need	VERB
ejpam-1847	335	34	the	the	DET
ejpam-1847	335	35	following	follow	VERB
ejpam-1847	335	36	assumptions	assumption	NOUN
ejpam-1847	335	37	for	for	ADP
ejpam-1847	335	38	presenting	present	VERB
ejpam-1847	335	39	our	our	PRON
ejpam-1847	335	40	results	result	NOUN
ejpam-1847	335	41	:	:	PUNCT
ejpam-1847	335	42	(	(	PUNCT
ejpam-1847	335	43	c.1	c.1	NOUN
ejpam-1847	335	44	)	)	PUNCT
ejpam-1847	335	45	for	for	ADP
ejpam-1847	335	46	any	any	DET
ejpam-1847	335	47	model	model	NOUN
ejpam-1847	335	48	v	v	ADP
ejpam-1847	335	49	inm1	inm1	PROPN
ejpam-1847	335	50	,	,	PUNCT
ejpam-1847	335	51	0	0	NUM
ejpam-1847	335	52	<	<	X
ejpam-1847	335	53	log	log	PROPN
ejpam-1847	335	54	l(φ̂v	l(φ̂v	PROPN
ejpam-1847	335	55	,	,	PUNCT
ejpam-1847	335	56	σ̂v	σ̂v	NUM
ejpam-1847	335	57	)	)	PUNCT
ejpam-1847	335	58	−	−	NOUN
ejpam-1847	336	1	log	log	NOUN
ejpam-1847	336	2	l(φ̂vo	l(φ̂vo	NOUN
ejpam-1847	336	3	,	,	PUNCT
ejpam-1847	336	4	σ̂vo	σ̂vo	NOUN
ejpam-1847	336	5	)	)	PUNCT
ejpam-1847	336	6	=	=	SYM
ejpam-1847	336	7	o(log	o(log	PROPN
ejpam-1847	336	8	log	log	PROPN
ejpam-1847	336	9	n	n	CCONJ
ejpam-1847	336	10	)	)	PUNCT
ejpam-1847	336	11	a.s	a.s	PROPN
ejpam-1847	336	12	.	.	PROPN
ejpam-1847	336	13	where	where	SCONJ
ejpam-1847	336	14	log	log	PROPN
ejpam-1847	336	15	l(φ̂v	l(φ̂v	PROPN
ejpam-1847	336	16	,	,	PUNCT
ejpam-1847	336	17	σ̂v	σ̂v	NUM
ejpam-1847	336	18	)	)	PUNCT
ejpam-1847	336	19	is	be	AUX
ejpam-1847	336	20	the	the	DET
ejpam-1847	336	21	maximum	maximum	ADJ
ejpam-1847	336	22	log	log	NOUN
ejpam-1847	336	23	-	-	PUNCT
ejpam-1847	336	24	likelihood	likelihood	NOUN
ejpam-1847	336	25	for	for	ADP
ejpam-1847	336	26	the	the	DET
ejpam-1847	336	27	model	model	NOUN
ejpam-1847	336	28	var(v	var(v	PROPN
ejpam-1847	336	29	)	)	PUNCT
ejpam-1847	336	30	and	and	CCONJ
ejpam-1847	336	31	log	log	VERB
ejpam-1847	336	32	l(φ̂vo	l(φ̂vo	NOUN
ejpam-1847	336	33	,	,	PUNCT
ejpam-1847	336	34	σ̂vo	σ̂vo	NOUN
ejpam-1847	336	35	)	)	PUNCT
ejpam-1847	336	36	is	be	AUX
ejpam-1847	336	37	the	the	DET
ejpam-1847	336	38	maximum	maximum	ADJ
ejpam-1847	336	39	log	log	NOUN
ejpam-1847	336	40	-	-	PUNCT
ejpam-1847	336	41	likelihood	likelihood	NOUN
ejpam-1847	336	42	of	of	ADP
ejpam-1847	336	43	the	the	DET
ejpam-1847	336	44	true	true	ADJ
ejpam-1847	336	45	model	model	NOUN
ejpam-1847	336	46	.	.	PUNCT
ejpam-1847	337	1	here	here	ADV
ejpam-1847	337	2	and	and	CCONJ
ejpam-1847	337	3	in	in	ADP
ejpam-1847	337	4	the	the	DET
ejpam-1847	337	5	sequel	sequel	NOUN
ejpam-1847	337	6	“	"	PUNCT
ejpam-1847	337	7	a.s	a.s	PROPN
ejpam-1847	337	8	.	.	PROPN
ejpam-1847	337	9	”	"	PUNCT
ejpam-1847	337	10	means	mean	VERB
ejpam-1847	337	11	“	"	PUNCT
ejpam-1847	337	12	almost	almost	ADV
ejpam-1847	337	13	surely	surely	ADV
ejpam-1847	337	14	”	"	PUNCT
ejpam-1847	337	15	with	with	ADP
ejpam-1847	337	16	respect	respect	NOUN
ejpam-1847	337	17	to	to	ADP
ejpam-1847	337	18	the	the	DET
ejpam-1847	337	19	probability	probability	NOUN
ejpam-1847	337	20	space	space	NOUN
ejpam-1847	337	21	determined	determine	VERB
ejpam-1847	337	22	by	by	ADP
ejpam-1847	337	23	the	the	DET
ejpam-1847	337	24	multiple	multiple	ADJ
ejpam-1847	337	25	time	time	NOUN
ejpam-1847	337	26	series	series	PROPN
ejpam-1847	337	27	(	(	PUNCT
ejpam-1847	337	28	y1	y1	PROPN
ejpam-1847	337	29	t	t	PROPN
ejpam-1847	337	30	,	,	PUNCT
ejpam-1847	337	31	.	.	PUNCT
ejpam-1847	337	32	.	.	PUNCT
ejpam-1847	338	1	.	.	PUNCT
ejpam-1847	339	1	,	,	PUNCT
ejpam-1847	339	2	yqt)′.	yqt)′.	PROPN
ejpam-1847	339	3	(	(	PUNCT
ejpam-1847	339	4	c.2	c.2	PROPN
ejpam-1847	339	5	)	)	PUNCT
ejpam-1847	339	6	for	for	ADP
ejpam-1847	339	7	any	any	DET
ejpam-1847	339	8	model	model	NOUN
ejpam-1847	339	9	v	v	ADP
ejpam-1847	339	10	inm2	inm2	PROPN
ejpam-1847	339	11	,	,	PUNCT
ejpam-1847	339	12	0	0	NUM
ejpam-1847	339	13	>	>	X
ejpam-1847	339	14	log	log	PROPN
ejpam-1847	339	15	l(φ̂v	l(φ̂v	PROPN
ejpam-1847	339	16	,	,	PUNCT
ejpam-1847	339	17	σ̂v	σ̂v	NUM
ejpam-1847	339	18	)	)	PUNCT
ejpam-1847	339	19	−	−	NOUN
ejpam-1847	339	20	log	log	NOUN
ejpam-1847	339	21	l(φ̂vo	l(φ̂vo	NOUN
ejpam-1847	339	22	,	,	PUNCT
ejpam-1847	339	23	σ̂vo	σ̂vo	NOUN
ejpam-1847	339	24	)	)	PUNCT
ejpam-1847	339	25	=	=	SYM
ejpam-1847	340	1	o(n	o(n	NUM
ejpam-1847	340	2	)	)	PUNCT
ejpam-1847	341	1	a.s	a.s	PROPN
ejpam-1847	341	2	.	.	PROPN
ejpam-1847	342	1	then	then	ADV
ejpam-1847	342	2	we	we	PRON
ejpam-1847	342	3	have	have	VERB
ejpam-1847	342	4	the	the	DET
ejpam-1847	342	5	following	follow	VERB
ejpam-1847	342	6	results	result	NOUN
ejpam-1847	342	7	for	for	ADP
ejpam-1847	342	8	pvscλ(v	pvscλ(v	PROPN
ejpam-1847	342	9	)	)	PUNCT
ejpam-1847	342	10	.	.	PUNCT
ejpam-1847	343	1	proposition	proposition	NOUN
ejpam-1847	343	2	1	1	NUM
ejpam-1847	343	3	.	.	PUNCT
ejpam-1847	343	4	suppose	suppose	VERB
ejpam-1847	343	5	c(nv	c(nv	PROPN
ejpam-1847	343	6	)	)	PUNCT
ejpam-1847	343	7	=	=	SYM
ejpam-1847	344	1	o(n	o(n	NOUN
ejpam-1847	344	2	)	)	PUNCT
ejpam-1847	344	3	in	in	ADP
ejpam-1847	344	4	the	the	DET
ejpam-1847	344	5	definition	definition	NOUN
ejpam-1847	344	6	of	of	ADP
ejpam-1847	344	7	vmsc(v	vmsc(v	NOUN
ejpam-1847	344	8	)	)	PUNCT
ejpam-1847	344	9	.	.	PUNCT
ejpam-1847	345	1	let	let	VERB
ejpam-1847	345	2	pr	pr	NOUN
ejpam-1847	345	3	(	(	PUNCT
ejpam-1847	345	4	·	·	PUNCT
ejpam-1847	345	5	)	)	PUNCT
ejpam-1847	345	6	be	be	AUX
ejpam-1847	345	7	a	a	DET
ejpam-1847	345	8	probability	probability	NOUN
ejpam-1847	345	9	with	with	ADP
ejpam-1847	345	10	respect	respect	NOUN
ejpam-1847	345	11	to	to	ADP
ejpam-1847	345	12	the	the	DET
ejpam-1847	345	13	probability	probability	NOUN
ejpam-1847	345	14	distribution	distribution	NOUN
ejpam-1847	345	15	pvscλ(v	pvscλ(v	NOUN
ejpam-1847	345	16	)	)	PUNCT
ejpam-1847	345	17	.	.	PUNCT
ejpam-1847	346	1	then	then	ADV
ejpam-1847	346	2	under	under	ADP
ejpam-1847	346	3	conditions	condition	NOUN
ejpam-1847	346	4	(	(	PUNCT
ejpam-1847	346	5	c.1	c.1	NOUN
ejpam-1847	346	6	)	)	PUNCT
ejpam-1847	346	7	and	and	CCONJ
ejpam-1847	346	8	(	(	PUNCT
ejpam-1847	346	9	c.2	c.2	X
ejpam-1847	346	10	)	)	PUNCT
ejpam-1847	346	11	we	we	PRON
ejpam-1847	346	12	have	have	VERB
ejpam-1847	346	13	(	(	PUNCT
ejpam-1847	346	14	r.1	r.1	NOUN
ejpam-1847	346	15	)	)	PUNCT
ejpam-1847	346	16	pr(m1	pr(m1	NOUN
ejpam-1847	346	17	)	)	PUNCT
ejpam-1847	346	18	=	=	PUNCT
ejpam-1847	346	19	{	{	PUNCT
ejpam-1847	346	20	1	1	NUM
ejpam-1847	346	21	+	+	CCONJ
ejpam-1847	346	22	(	(	PUNCT
ejpam-1847	346	23	2no	2no	NOUN
ejpam-1847	346	24	−	−	PROPN
ejpam-1847	346	25	1)e−|o(n)|}−1	1)e−|o(n)|}−1	NUM
ejpam-1847	346	26	a.s	a.s	NOUN
ejpam-1847	346	27	.	.	PROPN
ejpam-1847	346	28	where	where	SCONJ
ejpam-1847	346	29	no	no	PRON
ejpam-1847	346	30	is	be	AUX
ejpam-1847	346	31	the	the	DET
ejpam-1847	346	32	total	total	ADJ
ejpam-1847	346	33	number	number	NOUN
ejpam-1847	346	34	of	of	ADP
ejpam-1847	346	35	parameters	parameter	NOUN
ejpam-1847	346	36	estimated	estimate	VERB
ejpam-1847	346	37	in	in	ADP
ejpam-1847	346	38	the	the	DET
ejpam-1847	346	39	true	true	ADJ
ejpam-1847	346	40	model	model	NOUN
ejpam-1847	346	41	.	.	PUNCT
ejpam-1847	347	1	x.zhao	x.zhao	PROPN
ejpam-1847	347	2	,	,	PUNCT
ejpam-1847	347	3	g.	g.	PROPN
ejpam-1847	347	4	qian	qian	PROPN
ejpam-1847	347	5	/	/	SYM
ejpam-1847	347	6	eur	eur	PROPN
ejpam-1847	347	7	.	.	PUNCT
ejpam-1847	348	1	j.	j.	PROPN
ejpam-1847	348	2	pure	pure	PROPN
ejpam-1847	348	3	appl	appl	PROPN
ejpam-1847	348	4	.	.	PROPN
ejpam-1847	348	5	math	math	PROPN
ejpam-1847	348	6	,	,	PUNCT
ejpam-1847	348	7	7	7	NUM
ejpam-1847	348	8	(	(	PUNCT
ejpam-1847	348	9	2014	2014	NUM
ejpam-1847	348	10	)	)	PUNCT
ejpam-1847	348	11	,	,	PUNCT
ejpam-1847	348	12	1	1	NUM
ejpam-1847	348	13	-	-	SYM
ejpam-1847	348	14	21	21	NUM
ejpam-1847	348	15	12	12	NUM
ejpam-1847	348	16	(	(	PUNCT
ejpam-1847	348	17	r.2	r.2	NOUN
ejpam-1847	348	18	)	)	PUNCT
ejpam-1847	348	19	pr(m1)/pr(m2	pr(m1)/pr(m2	NOUN
ejpam-1847	348	20	)	)	PUNCT
ejpam-1847	348	21	=	=	SYM
ejpam-1847	349	1	(	(	PUNCT
ejpam-1847	349	2	2no	2no	NOUN
ejpam-1847	349	3	−	−	PROPN
ejpam-1847	349	4	1)−1e|o(n)|	1)−1e|o(n)|	NUM
ejpam-1847	349	5	a.s	a.s	X
ejpam-1847	349	6	..	..	PUNCT
ejpam-1847	349	7	(	(	PUNCT
ejpam-1847	349	8	r.3	r.3	X
ejpam-1847	349	9	)	)	PUNCT
ejpam-1847	349	10	in	in	ADP
ejpam-1847	349	11	addition	addition	NOUN
ejpam-1847	349	12	,	,	PUNCT
ejpam-1847	349	13	if	if	SCONJ
ejpam-1847	349	14	o(log	o(log	PROPN
ejpam-1847	349	15	n	n	CCONJ
ejpam-1847	349	16	)	)	PUNCT
ejpam-1847	349	17	≤	≤	NOUN
ejpam-1847	349	18	|c(nv	|c(nv	NOUN
ejpam-1847	349	19	)	)	PUNCT
ejpam-1847	349	20	|	|	ADV
ejpam-1847	349	21	≤	≤	NUM
ejpam-1847	349	22	o(n	o(n	NUM
ejpam-1847	349	23	)	)	PUNCT
ejpam-1847	349	24	and	and	CCONJ
ejpam-1847	349	25	c(nv	c(nv	PROPN
ejpam-1847	349	26	)	)	PUNCT
ejpam-1847	349	27	is	be	AUX
ejpam-1847	349	28	an	an	DET
ejpam-1847	349	29	increasing	increase	VERB
ejpam-1847	349	30	function	function	NOUN
ejpam-1847	349	31	with	with	ADP
ejpam-1847	349	32	respect	respect	NOUN
ejpam-1847	349	33	to	to	ADP
ejpam-1847	349	34	nv	nv	PROPN
ejpam-1847	349	35	=	=	PUNCT
ejpam-1847	350	1	∑p	∑p	PROPN
ejpam-1847	350	2	i=1	i=1	PROPN
ejpam-1847	350	3	∑q	∑q	PROPN
ejpam-1847	350	4	j=1	j=1	NOUN
ejpam-1847	350	5	∑q	∑q	PROPN
ejpam-1847	350	6	k=1	k=1	PUNCT
ejpam-1847	350	7	vi	vi	PROPN
ejpam-1847	350	8	,	,	PUNCT
ejpam-1847	350	9	jk	jk	PROPN
ejpam-1847	350	10	,	,	PUNCT
ejpam-1847	350	11	then	then	ADV
ejpam-1847	350	12	pr(vo	pr(vo	NOUN
ejpam-1847	350	13	)	)	PUNCT
ejpam-1847	350	14	=	=	SYM
ejpam-1847	350	15	pvscλ(vo	pvscλ(vo	NOUN
ejpam-1847	350	16	)	)	PUNCT
ejpam-1847	350	17	=	=	PUNCT
ejpam-1847	350	18	{	{	PUNCT
ejpam-1847	350	19	1	1	NUM
ejpam-1847	350	20	+	+	NUM
ejpam-1847	350	21	(	(	PUNCT
ejpam-1847	350	22	2pq2−no	2pq2−no	NUM
ejpam-1847	350	23	−	−	PROPN
ejpam-1847	350	24	1)o(n−1)}−1pr(m1	1)o(n−1)}−1pr(m1	NOUN
ejpam-1847	350	25	)	)	PUNCT
ejpam-1847	350	26	a.s	a.s	PROPN
ejpam-1847	350	27	..	..	PUNCT
ejpam-1847	350	28	the	the	DET
ejpam-1847	350	29	proof	proof	NOUN
ejpam-1847	350	30	of	of	ADP
ejpam-1847	350	31	the	the	DET
ejpam-1847	350	32	proposition	proposition	NOUN
ejpam-1847	350	33	is	be	AUX
ejpam-1847	350	34	straightforward	straightforward	ADJ
ejpam-1847	350	35	knowing	know	VERB
ejpam-1847	350	36	that	that	SCONJ
ejpam-1847	350	37	there	there	PRON
ejpam-1847	350	38	are	be	VERB
ejpam-1847	350	39	2pq2−no	2pq2−no	NUM
ejpam-1847	350	40	models	model	NOUN
ejpam-1847	350	41	in	in	ADP
ejpam-1847	350	42	m1	m1	PROPN
ejpam-1847	350	43	,	,	PUNCT
ejpam-1847	350	44	2pq2−no(2no−1)models	2pq2−no(2no−1)models	NUM
ejpam-1847	350	45	inm2	inm2	PROPN
ejpam-1847	350	46	,	,	PUNCT
ejpam-1847	350	47	and	and	CCONJ
ejpam-1847	350	48	pvscλ(v1)/pvscλ(v2	pvscλ(v1)/pvscλ(v2	NOUN
ejpam-1847	350	49	)	)	PUNCT
ejpam-1847	351	1	=	=	PUNCT
ejpam-1847	351	2	e|o(n)|	e|o(n)|	NUM
ejpam-1847	351	3	a.s	a.s	PROPN
ejpam-1847	351	4	.	.	PROPN
ejpam-1847	351	5	under	under	ADP
ejpam-1847	351	6	conditions	condition	NOUN
ejpam-1847	351	7	(	(	PUNCT
ejpam-1847	351	8	c.1	c.1	NOUN
ejpam-1847	351	9	)	)	PUNCT
ejpam-1847	351	10	and	and	CCONJ
ejpam-1847	351	11	(	(	PUNCT
ejpam-1847	351	12	c.2	c.2	NOUN
ejpam-1847	351	13	)	)	PUNCT
ejpam-1847	351	14	for	for	ADP
ejpam-1847	351	15	v1	v1	ADJ
ejpam-1847	351	16	∈m1	∈m1	ADJ
ejpam-1847	351	17	and	and	CCONJ
ejpam-1847	351	18	v2	v2	NOUN
ejpam-1847	351	19	∈m2	∈m2	NOUN
ejpam-1847	351	20	.	.	PUNCT
ejpam-1847	352	1	note	note	VERB
ejpam-1847	352	2	that	that	SCONJ
ejpam-1847	352	3	a	a	DET
ejpam-1847	352	4	var	var	NOUN
ejpam-1847	352	5	candidate	candidate	NOUN
ejpam-1847	352	6	model	model	NOUN
ejpam-1847	352	7	can	can	AUX
ejpam-1847	352	8	be	be	AUX
ejpam-1847	352	9	represented	represent	VERB
ejpam-1847	352	10	by	by	ADP
ejpam-1847	352	11	a	a	DET
ejpam-1847	352	12	q×	q×	PROPN
ejpam-1847	352	13	pq	pq	NOUN
ejpam-1847	352	14	matrix	matrix	NOUN
ejpam-1847	352	15	v	v	NOUN
ejpam-1847	352	16	=	=	SYM
ejpam-1847	352	17	(	(	PUNCT
ejpam-1847	352	18	v1	v1	NOUN
ejpam-1847	352	19	,	,	PUNCT
ejpam-1847	352	20	.	.	PUNCT
ejpam-1847	352	21	.	.	PUNCT
ejpam-1847	352	22	.	.	PUNCT
ejpam-1847	353	1	,	,	PUNCT
ejpam-1847	353	2	vp	vp	PROPN
ejpam-1847	353	3	)	)	PUNCT
ejpam-1847	353	4	in	in	ADP
ejpam-1847	353	5	the	the	DET
ejpam-1847	353	6	latticework	latticework	NOUN
ejpam-1847	353	7	{	{	PUNCT
ejpam-1847	353	8	0,1}q×pq	0,1}q×pq	NOUN
ejpam-1847	353	9	=	=	PROPN
ejpam-1847	353	10	m1	m1	PROPN
ejpam-1847	353	11	∪m2	∪m2	NOUN
ejpam-1847	353	12	.	.	PROPN
ejpam-1847	354	1	from	from	ADP
ejpam-1847	354	2	the	the	DET
ejpam-1847	354	3	joint	joint	ADJ
ejpam-1847	354	4	distribution	distribution	NOUN
ejpam-1847	354	5	pvscλ(v	pvscλ(v	NOUN
ejpam-1847	354	6	)	)	PUNCT
ejpam-1847	354	7	it	it	PRON
ejpam-1847	354	8	is	be	AUX
ejpam-1847	354	9	easy	easy	ADJ
ejpam-1847	354	10	to	to	PART
ejpam-1847	354	11	find	find	VERB
ejpam-1847	354	12	the	the	DET
ejpam-1847	354	13	marginal	marginal	ADJ
ejpam-1847	354	14	distribution	distribution	NOUN
ejpam-1847	354	15	for	for	ADP
ejpam-1847	354	16	each	each	DET
ejpam-1847	354	17	component	component	NOUN
ejpam-1847	354	18	of	of	ADP
ejpam-1847	354	19	v	v	NOUN
ejpam-1847	354	20	.	.	PUNCT
ejpam-1847	355	1	namely	namely	ADV
ejpam-1847	355	2	,	,	PUNCT
ejpam-1847	355	3	for	for	ADP
ejpam-1847	355	4	each	each	DET
ejpam-1847	355	5	i	i	NOUN
ejpam-1847	355	6	=	=	NOUN
ejpam-1847	355	7	1	1	NUM
ejpam-1847	355	8	,	,	PUNCT
ejpam-1847	355	9	.	.	PUNCT
ejpam-1847	355	10	.	.	PUNCT
ejpam-1847	355	11	.	.	PUNCT
ejpam-1847	356	1	,	,	PUNCT
ejpam-1847	356	2	p	p	NOUN
ejpam-1847	356	3	and	and	CCONJ
ejpam-1847	356	4	j	j	PROPN
ejpam-1847	356	5	,	,	PUNCT
ejpam-1847	356	6	k	k	PROPN
ejpam-1847	356	7	=	=	SYM
ejpam-1847	356	8	1	1	NUM
ejpam-1847	356	9	,	,	PUNCT
ejpam-1847	356	10	.	.	PUNCT
ejpam-1847	356	11	.	.	PUNCT
ejpam-1847	357	1	.	.	PUNCT
ejpam-1847	358	1	,	,	PUNCT
ejpam-1847	358	2	q	q	X
ejpam-1847	358	3	,	,	PUNCT
ejpam-1847	358	4	pr(vi	pr(vi	PROPN
ejpam-1847	358	5	,	,	PUNCT
ejpam-1847	358	6	jk	jk	NOUN
ejpam-1847	358	7	=	=	PUNCT
ejpam-1847	358	8	1	1	X
ejpam-1847	358	9	)	)	PUNCT
ejpam-1847	358	10	=	=	SYM
ejpam-1847	358	11	∑	∑	PUNCT
ejpam-1847	358	12	vi	vi	PROPN
ejpam-1847	358	13	,	,	PUNCT
ejpam-1847	358	14	jk=1	jk=1	PROPN
ejpam-1847	358	15	pvscλ(v	pvscλ(v	PROPN
ejpam-1847	358	16	)	)	PUNCT
ejpam-1847	359	1	=	=	PUNCT
ejpam-1847	359	2	d−1	d−1	PROPN
ejpam-1847	359	3	∑	∑	PROPN
ejpam-1847	359	4	vi	vi	PROPN
ejpam-1847	359	5	,	,	PUNCT
ejpam-1847	359	6	jk=1	jk=1	PROPN
ejpam-1847	359	7	exp{−λvmsc(v	exp{−λvmsc(v	NOUN
ejpam-1847	359	8	)	)	PUNCT
ejpam-1847	359	9	}	}	PUNCT
ejpam-1847	359	10	pr(vi	pr(vi	PROPN
ejpam-1847	359	11	,	,	PUNCT
ejpam-1847	359	12	jk	jk	NOUN
ejpam-1847	359	13	=	=	PUNCT
ejpam-1847	359	14	0	0	NUM
ejpam-1847	359	15	)	)	PUNCT
ejpam-1847	359	16	=	=	SYM
ejpam-1847	359	17	∑	∑	PUNCT
ejpam-1847	359	18	vi	vi	PROPN
ejpam-1847	359	19	,	,	PUNCT
ejpam-1847	359	20	jk=0	jk=0	PROPN
ejpam-1847	359	21	pvscλ(v	pvscλ(v	NOUN
ejpam-1847	359	22	)	)	PUNCT
ejpam-1847	359	23	=	=	PUNCT
ejpam-1847	360	1	d−1	d−1	PROPN
ejpam-1847	360	2	∑	∑	PROPN
ejpam-1847	360	3	vi	vi	PROPN
ejpam-1847	360	4	,	,	PUNCT
ejpam-1847	360	5	jk=0	jk=0	NOUN
ejpam-1847	360	6	exp{−λvmsc(v	exp{−λvmsc(v	NOUN
ejpam-1847	360	7	)	)	PUNCT
ejpam-1847	360	8	}	}	PUNCT
ejpam-1847	360	9	in	in	ADP
ejpam-1847	360	10	the	the	DET
ejpam-1847	360	11	index	index	NOUN
ejpam-1847	360	12	matrix	matrix	NOUN
ejpam-1847	360	13	of	of	ADP
ejpam-1847	360	14	the	the	DET
ejpam-1847	360	15	true	true	ADJ
ejpam-1847	360	16	model	model	NOUN
ejpam-1847	360	17	v0	v0	NOUN
ejpam-1847	360	18	there	there	PRON
ejpam-1847	360	19	are	be	VERB
ejpam-1847	360	20	n0	n0	ADJ
ejpam-1847	360	21	components	component	NOUN
ejpam-1847	360	22	which	which	PRON
ejpam-1847	360	23	are	be	AUX
ejpam-1847	360	24	equal	equal	ADJ
ejpam-1847	360	25	to	to	ADP
ejpam-1847	360	26	1	1	NUM
ejpam-1847	360	27	,	,	PUNCT
ejpam-1847	360	28	and	and	CCONJ
ejpam-1847	360	29	the	the	DET
ejpam-1847	360	30	position	position	NOUN
ejpam-1847	360	31	of	of	ADP
ejpam-1847	360	32	each	each	DET
ejpam-1847	360	33	none	none	NOUN
ejpam-1847	360	34	-	-	PUNCT
ejpam-1847	360	35	zero	zero	NUM
ejpam-1847	360	36	component	component	NOUN
ejpam-1847	360	37	in	in	ADP
ejpam-1847	360	38	the	the	DET
ejpam-1847	360	39	matrix	matrix	NOUN
ejpam-1847	360	40	corresponds	correspond	VERB
ejpam-1847	360	41	to	to	ADP
ejpam-1847	360	42	an	an	DET
ejpam-1847	360	43	index	index	NOUN
ejpam-1847	360	44	(	(	PUNCT
ejpam-1847	360	45	i	i	PROPN
ejpam-1847	360	46	,	,	PUNCT
ejpam-1847	360	47	jk	jk	PROPN
ejpam-1847	360	48	)	)	PUNCT
ejpam-1847	360	49	.	.	PUNCT
ejpam-1847	361	1	let	let	VERB
ejpam-1847	361	2	βo	βo	PRON
ejpam-1847	361	3	be	be	AUX
ejpam-1847	361	4	the	the	DET
ejpam-1847	361	5	set	set	NOUN
ejpam-1847	361	6	of	of	ADP
ejpam-1847	361	7	all	all	DET
ejpam-1847	361	8	the	the	DET
ejpam-1847	361	9	indices	index	NOUN
ejpam-1847	361	10	of	of	ADP
ejpam-1847	361	11	the	the	DET
ejpam-1847	361	12	none	none	NOUN
ejpam-1847	361	13	-	-	PUNCT
ejpam-1847	361	14	zero	zero	NUM
ejpam-1847	361	15	components	component	NOUN
ejpam-1847	361	16	in	in	ADP
ejpam-1847	361	17	v0	v0	NOUN
ejpam-1847	361	18	and	and	CCONJ
ejpam-1847	361	19	write	write	VERB
ejpam-1847	361	20	β0	β0	PROPN
ejpam-1847	361	21	=	=	PROPN
ejpam-1847	361	22	�	�	PROPN
ejpam-1847	361	23	(	(	PUNCT
ejpam-1847	361	24	i	i	PROPN
ejpam-1847	361	25	,	,	PUNCT
ejpam-1847	361	26	jk)(1	jk)(1	NOUN
ejpam-1847	361	27	)	)	PUNCT
ejpam-1847	361	28	,	,	PUNCT
ejpam-1847	361	29	.	.	PUNCT
ejpam-1847	361	30	.	.	PUNCT
ejpam-1847	362	1	.	.	PUNCT
ejpam-1847	363	1	,	,	PUNCT
ejpam-1847	363	2	(	(	PUNCT
ejpam-1847	363	3	i	i	PRON
ejpam-1847	363	4	,	,	PUNCT
ejpam-1847	363	5	jk)(n0	jk)(n0	PROPN
ejpam-1847	363	6	)	)	PUNCT
ejpam-1847	363	7	�	�	PROPN
ejpam-1847	363	8	.	.	PUNCT
ejpam-1847	364	1	under	under	ADP
ejpam-1847	364	2	conditions	condition	NOUN
ejpam-1847	364	3	(	(	PUNCT
ejpam-1847	364	4	c.1	c.1	NOUN
ejpam-1847	364	5	)	)	PUNCT
ejpam-1847	364	6	and	and	CCONJ
ejpam-1847	364	7	(	(	PUNCT
ejpam-1847	364	8	c.2	c.2	PROPN
ejpam-1847	364	9	)	)	PUNCT
ejpam-1847	364	10	and	and	CCONJ
ejpam-1847	364	11	from	from	ADP
ejpam-1847	364	12	proposition	proposition	NOUN
ejpam-1847	364	13	1	1	NUM
ejpam-1847	364	14	it	it	PRON
ejpam-1847	364	15	is	be	AUX
ejpam-1847	364	16	not	not	PART
ejpam-1847	364	17	difficult	difficult	ADJ
ejpam-1847	364	18	to	to	PART
ejpam-1847	364	19	derive	derive	VERB
ejpam-1847	364	20	the	the	DET
ejpam-1847	364	21	following	follow	VERB
ejpam-1847	364	22	results	result	NOUN
ejpam-1847	364	23	:	:	PUNCT
ejpam-1847	364	24	proposition	proposition	NOUN
ejpam-1847	364	25	2	2	NUM
ejpam-1847	364	26	.	.	PUNCT
ejpam-1847	365	1	under	under	ADP
ejpam-1847	365	2	the	the	DET
ejpam-1847	365	3	same	same	ADJ
ejpam-1847	365	4	conditions	condition	NOUN
ejpam-1847	365	5	and	and	CCONJ
ejpam-1847	365	6	notations	notation	NOUN
ejpam-1847	365	7	as	as	ADP
ejpam-1847	365	8	in	in	ADP
ejpam-1847	365	9	proposition	proposition	NOUN
ejpam-1847	365	10	1	1	NUM
ejpam-1847	365	11	,	,	PUNCT
ejpam-1847	365	12	we	we	PRON
ejpam-1847	365	13	have	have	VERB
ejpam-1847	365	14	for	for	ADP
ejpam-1847	365	15	any	any	DET
ejpam-1847	365	16	(	(	PUNCT
ejpam-1847	365	17	i	i	PROPN
ejpam-1847	365	18	,	,	PUNCT
ejpam-1847	365	19	jk	jk	PROPN
ejpam-1847	365	20	)	)	PUNCT
ejpam-1847	365	21	∈	∈	PROPN
ejpam-1847	365	22	βo	βo	PRON
ejpam-1847	365	23	(	(	PUNCT
ejpam-1847	365	24	r.4	r.4	NOUN
ejpam-1847	365	25	)	)	PUNCT
ejpam-1847	365	26	pr((v	pr((v	NOUN
ejpam-1847	365	27	)	)	PUNCT
ejpam-1847	366	1	i	i	PRON
ejpam-1847	366	2	,	,	PUNCT
ejpam-1847	366	3	jk	jk	PROPN
ejpam-1847	366	4	=	=	SYM
ejpam-1847	366	5	1)≥	1)≥	NUM
ejpam-1847	366	6	pr(m1	pr(m1	NOUN
ejpam-1847	366	7	)	)	PUNCT
ejpam-1847	366	8	=	=	PUNCT
ejpam-1847	367	1	[	[	X
ejpam-1847	367	2	1	1	NUM
ejpam-1847	367	3	+	+	CCONJ
ejpam-1847	367	4	(	(	PUNCT
ejpam-1847	367	5	2no	2no	NOUN
ejpam-1847	367	6	−	−	PROPN
ejpam-1847	367	7	1)e−|o(n)|]−1	1)e−|o(n)|]−1	NUM
ejpam-1847	367	8	a.s	a.s	PROPN
ejpam-1847	367	9	.	.	PROPN
ejpam-1847	367	10	;	;	PUNCT
ejpam-1847	367	11	(	(	PUNCT
ejpam-1847	367	12	r.5	r.5	NOUN
ejpam-1847	367	13	)	)	PUNCT
ejpam-1847	367	14	pr((v	pr((v	NOUN
ejpam-1847	367	15	)	)	PUNCT
ejpam-1847	368	1	i	i	PRON
ejpam-1847	368	2	,	,	PUNCT
ejpam-1847	368	3	jk	jk	PROPN
ejpam-1847	368	4	=	=	PUNCT
ejpam-1847	368	5	0)≤	0)≤	PROPN
ejpam-1847	368	6	pr(m2	pr(m2	PART
ejpam-1847	368	7	)	)	PUNCT
ejpam-1847	368	8	=	=	PUNCT
ejpam-1847	368	9	(	(	PUNCT
ejpam-1847	368	10	2no	2no	NOUN
ejpam-1847	368	11	−	−	NOUN
ejpam-1847	368	12	1)e−|o(n)|[1	1)e−|o(n)|[1	NUM
ejpam-1847	368	13	+	+	CCONJ
ejpam-1847	368	14	(	(	PUNCT
ejpam-1847	368	15	2no	2no	NOUN
ejpam-1847	368	16	−	−	PROPN
ejpam-1847	368	17	1)e−|o(n)|]−1	1)e−|o(n)|]−1	NUM
ejpam-1847	368	18	a.s	a.s	PROPN
ejpam-1847	368	19	.	.	PROPN
ejpam-1847	368	20	;	;	PUNCT
ejpam-1847	368	21	(	(	PUNCT
ejpam-1847	368	22	r.6	r.6	NOUN
ejpam-1847	368	23	)	)	PUNCT
ejpam-1847	368	24	pr((v	pr((v	NOUN
ejpam-1847	368	25	)	)	PUNCT
ejpam-1847	369	1	i	i	PRON
ejpam-1847	369	2	,	,	PUNCT
ejpam-1847	369	3	jk=1	jk=1	PROPN
ejpam-1847	369	4	)	)	PUNCT
ejpam-1847	369	5	pr((v	pr((v	NOUN
ejpam-1847	369	6	)	)	PUNCT
ejpam-1847	370	1	i	i	PRON
ejpam-1847	370	2	,	,	PUNCT
ejpam-1847	370	3	jk=0	jk=0	PROPN
ejpam-1847	370	4	)	)	PUNCT
ejpam-1847	370	5	≥	≥	NOUN
ejpam-1847	370	6	(	(	PUNCT
ejpam-1847	370	7	2	2	NUM
ejpam-1847	370	8	no	no	PRON
ejpam-1847	370	9	−	−	PROPN
ejpam-1847	370	10	1)−1e|o(n)|	1)−1e|o(n)|	NUM
ejpam-1847	370	11	a.s	a.s	PROPN
ejpam-1847	370	12	..	..	PROPN
ejpam-1847	370	13	proposition	proposition	NOUN
ejpam-1847	370	14	2	2	NUM
ejpam-1847	370	15	essentially	essentially	ADV
ejpam-1847	370	16	says	say	VERB
ejpam-1847	370	17	that	that	SCONJ
ejpam-1847	370	18	the	the	DET
ejpam-1847	370	19	marginal	marginal	ADJ
ejpam-1847	370	20	distributions	distribution	NOUN
ejpam-1847	370	21	of	of	ADP
ejpam-1847	370	22	v	v	NOUN
ejpam-1847	370	23	corresponding	correspond	VERB
ejpam-1847	370	24	to	to	ADP
ejpam-1847	370	25	those	those	DET
ejpam-1847	370	26	non	non	ADJ
ejpam-1847	370	27	-	-	ADJ
ejpam-1847	370	28	zero	zero	NUM
ejpam-1847	370	29	components	component	NOUN
ejpam-1847	370	30	of	of	ADP
ejpam-1847	370	31	vo	vo	X
ejpam-1847	370	32	have	have	VERB
ejpam-1847	370	33	their	their	PRON
ejpam-1847	370	34	probabilities	probability	NOUN
ejpam-1847	370	35	of	of	ADP
ejpam-1847	370	36	“	"	PUNCT
ejpam-1847	370	37	success	success	NOUN
ejpam-1847	370	38	”	"	PUNCT
ejpam-1847	370	39	significantly	significantly	ADV
ejpam-1847	370	40	larger	large	ADJ
ejpam-1847	370	41	than	than	ADP
ejpam-1847	370	42	their	their	PRON
ejpam-1847	370	43	respective	respective	ADJ
ejpam-1847	370	44	probabilities	probability	NOUN
ejpam-1847	370	45	of	of	ADP
ejpam-1847	370	46	“	"	PUNCT
ejpam-1847	370	47	failure	failure	NOUN
ejpam-1847	370	48	”	"	PUNCT
ejpam-1847	370	49	,	,	PUNCT
ejpam-1847	370	50	provided	provide	VERB
ejpam-1847	370	51	that	that	SCONJ
ejpam-1847	370	52	the	the	DET
ejpam-1847	370	53	sample	sample	NOUN
ejpam-1847	370	54	size	size	NOUN
ejpam-1847	370	55	n	n	VERB
ejpam-1847	370	56	is	be	AUX
ejpam-1847	370	57	large	large	ADJ
ejpam-1847	370	58	enough	enough	ADV
ejpam-1847	370	59	.	.	PUNCT
ejpam-1847	371	1	moreover	moreover	ADV
ejpam-1847	371	2	,	,	PUNCT
ejpam-1847	371	3	this	this	DET
ejpam-1847	371	4	property	property	NOUN
ejpam-1847	371	5	is	be	AUX
ejpam-1847	371	6	not	not	PART
ejpam-1847	371	7	affected	affect	VERB
ejpam-1847	371	8	by	by	ADP
ejpam-1847	371	9	p	p	NOUN
ejpam-1847	371	10	or	or	CCONJ
ejpam-1847	371	11	q	q	NOUN
ejpam-1847	371	12	and	and	CCONJ
ejpam-1847	371	13	accordingly	accordingly	ADV
ejpam-1847	371	14	not	not	PART
ejpam-1847	371	15	by	by	ADP
ejpam-1847	371	16	whether	whether	SCONJ
ejpam-1847	371	17	the	the	DET
ejpam-1847	371	18	number	number	NOUN
ejpam-1847	371	19	of	of	ADP
ejpam-1847	371	20	candidate	candidate	NOUN
ejpam-1847	371	21	models	model	NOUN
ejpam-1847	371	22	2pq2	2pq2	NUM
ejpam-1847	371	23	is	be	AUX
ejpam-1847	371	24	too	too	ADV
ejpam-1847	371	25	large	large	ADJ
ejpam-1847	371	26	or	or	CCONJ
ejpam-1847	371	27	not	not	PART
ejpam-1847	371	28	.	.	PUNCT
ejpam-1847	372	1	therefore	therefore	ADV
ejpam-1847	372	2	,	,	PUNCT
ejpam-1847	372	3	for	for	ADP
ejpam-1847	372	4	a	a	DET
ejpam-1847	372	5	sufficiently	sufficiently	ADV
ejpam-1847	372	6	long	long	ADJ
ejpam-1847	372	7	sample	sample	NOUN
ejpam-1847	372	8	of	of	ADP
ejpam-1847	372	9	x.zhao	x.zhao	PROPN
ejpam-1847	372	10	,	,	PUNCT
ejpam-1847	372	11	g.	g.	PROPN
ejpam-1847	372	12	qian	qian	PROPN
ejpam-1847	372	13	/	/	SYM
ejpam-1847	372	14	eur	eur	PROPN
ejpam-1847	372	15	.	.	PUNCT
ejpam-1847	373	1	j.	j.	PROPN
ejpam-1847	373	2	pure	pure	PROPN
ejpam-1847	373	3	appl	appl	PROPN
ejpam-1847	373	4	.	.	PROPN
ejpam-1847	373	5	math	math	PROPN
ejpam-1847	373	6	,	,	PUNCT
ejpam-1847	373	7	7	7	NUM
ejpam-1847	373	8	(	(	PUNCT
ejpam-1847	373	9	2014	2014	NUM
ejpam-1847	373	10	)	)	PUNCT
ejpam-1847	373	11	,	,	PUNCT
ejpam-1847	373	12	1	1	NUM
ejpam-1847	373	13	-	-	SYM
ejpam-1847	373	14	21	21	NUM
ejpam-1847	373	15	13	13	NUM
ejpam-1847	373	16	models	model	NOUN
ejpam-1847	373	17	generated	generate	VERB
ejpam-1847	373	18	from	from	ADP
ejpam-1847	373	19	pvscλ	pvscλ	NOUN
ejpam-1847	373	20	—	—	PUNCT
ejpam-1847	373	21	v	v	NOUN
ejpam-1847	373	22	(	(	PUNCT
ejpam-1847	373	23	1	1	NUM
ejpam-1847	373	24	)	)	PUNCT
ejpam-1847	373	25	,	,	PUNCT
ejpam-1847	373	26	.	.	PUNCT
ejpam-1847	373	27	.	.	PUNCT
ejpam-1847	374	1	.	.	PUNCT
ejpam-1847	375	1	,	,	PUNCT
ejpam-1847	375	2	v	v	X
ejpam-1847	375	3	(	(	PUNCT
ejpam-1847	375	4	h	h	NOUN
ejpam-1847	375	5	)	)	PUNCT
ejpam-1847	375	6	,	,	PUNCT
ejpam-1847	375	7	we	we	PRON
ejpam-1847	375	8	estimate	estimate	VERB
ejpam-1847	375	9	the	the	DET
ejpam-1847	375	10	marginal	marginal	ADJ
ejpam-1847	375	11	probability	probability	NOUN
ejpam-1847	375	12	of	of	ADP
ejpam-1847	375	13	“	"	PUNCT
ejpam-1847	375	14	success	success	NOUN
ejpam-1847	375	15	”	"	PUNCT
ejpam-1847	375	16	for	for	ADP
ejpam-1847	375	17	each	each	DET
ejpam-1847	375	18	component	component	NOUN
ejpam-1847	375	19	of	of	ADP
ejpam-1847	375	20	v	v	NUM
ejpam-1847	375	21	by	by	ADP
ejpam-1847	375	22	its	its	PRON
ejpam-1847	375	23	sample	sample	NOUN
ejpam-1847	375	24	proportion	proportion	NOUN
ejpam-1847	375	25	,	,	PUNCT
ejpam-1847	375	26	i.e.	i.e.	X
ejpam-1847	375	27	,	,	PUNCT
ejpam-1847	375	28	bpr(vi	bpr(vi	NOUN
ejpam-1847	375	29	,	,	PUNCT
ejpam-1847	375	30	jk	jk	NOUN
ejpam-1847	375	31	=	=	PUNCT
ejpam-1847	375	32	1	1	X
ejpam-1847	375	33	)	)	PUNCT
ejpam-1847	375	34	=	=	SYM
ejpam-1847	376	1	h−1	h−1	PROPN
ejpam-1847	376	2	∑h	∑h	PROPN
ejpam-1847	376	3	h=1	h=1	PROPN
ejpam-1847	376	4	v	v	NOUN
ejpam-1847	376	5	(	(	PUNCT
ejpam-1847	376	6	h)i	h)i	NOUN
ejpam-1847	376	7	,	,	PUNCT
ejpam-1847	376	8	jk	jk	PROPN
ejpam-1847	376	9	,	,	PUNCT
ejpam-1847	376	10	i	i	PROPN
ejpam-1847	376	11	=	=	NOUN
ejpam-1847	376	12	1	1	NUM
ejpam-1847	376	13	,	,	PUNCT
ejpam-1847	376	14	.	.	PUNCT
ejpam-1847	376	15	.	.	PUNCT
ejpam-1847	376	16	.	.	PUNCT
ejpam-1847	377	1	,	,	PUNCT
ejpam-1847	377	2	p	p	X
ejpam-1847	377	3	,	,	PUNCT
ejpam-1847	377	4	j	j	PROPN
ejpam-1847	377	5	,	,	PUNCT
ejpam-1847	377	6	k	k	PROPN
ejpam-1847	377	7	=	=	SYM
ejpam-1847	377	8	1	1	NUM
ejpam-1847	377	9	,	,	PUNCT
ejpam-1847	377	10	.	.	PUNCT
ejpam-1847	377	11	.	.	PUNCT
ejpam-1847	377	12	.	.	PUNCT
ejpam-1847	378	1	,	,	PUNCT
ejpam-1847	378	2	q.	q.	PROPN
ejpam-1847	378	3	the	the	DET
ejpam-1847	378	4	standard	standard	ADJ
ejpam-1847	378	5	error	error	NOUN
ejpam-1847	378	6	of	of	ADP
ejpam-1847	378	7	bpr(vi	bpr(vi	NOUN
ejpam-1847	378	8	,	,	PUNCT
ejpam-1847	378	9	jk	jk	NOUN
ejpam-1847	378	10	=	=	SYM
ejpam-1847	378	11	1	1	X
ejpam-1847	378	12	)	)	PUNCT
ejpam-1847	378	13	has	have	VERB
ejpam-1847	378	14	an	an	DET
ejpam-1847	378	15	upper	upper	ADJ
ejpam-1847	378	16	bound	bind	VERB
ejpam-1847	378	17	0.5h−1/2	0.5h−1/2	NUM
ejpam-1847	378	18	.	.	PUNCT
ejpam-1847	379	1	we	we	PRON
ejpam-1847	379	2	then	then	ADV
ejpam-1847	379	3	propose	propose	VERB
ejpam-1847	379	4	to	to	PART
ejpam-1847	379	5	ignore	ignore	VERB
ejpam-1847	379	6	those	those	DET
ejpam-1847	379	7	components	component	NOUN
ejpam-1847	379	8	of	of	ADP
ejpam-1847	379	9	v	v	NUM
ejpam-1847	379	10	where	where	SCONJ
ejpam-1847	379	11	,	,	PUNCT
ejpam-1847	379	12	say	say	INTJ
ejpam-1847	379	13	,	,	PUNCT
ejpam-1847	379	14	bpr(vi	bpr(vi	NOUN
ejpam-1847	379	15	,	,	PUNCT
ejpam-1847	379	16	jk	jk	NOUN
ejpam-1847	379	17	=	=	PUNCT
ejpam-1847	379	18	1	1	NUM
ejpam-1847	379	19	)	)	PUNCT
ejpam-1847	379	20	<	<	X
ejpam-1847	379	21	0.5	0.5	NUM
ejpam-1847	379	22	,	,	PUNCT
ejpam-1847	379	23	and	and	CCONJ
ejpam-1847	379	24	use	use	VERB
ejpam-1847	379	25	the	the	DET
ejpam-1847	379	26	other	other	ADJ
ejpam-1847	379	27	components	component	NOUN
ejpam-1847	379	28	of	of	ADP
ejpam-1847	379	29	v	v	NUM
ejpam-1847	379	30	to	to	PART
ejpam-1847	379	31	form	form	VERB
ejpam-1847	379	32	an	an	DET
ejpam-1847	379	33	estimate	estimate	NOUN
ejpam-1847	379	34	—	—	PUNCT
ejpam-1847	379	35	denoted	denote	VERB
ejpam-1847	379	36	as	as	ADP
ejpam-1847	379	37	ev	ev	NOUN
ejpam-1847	379	38	—	—	PUNCT
ejpam-1847	379	39	of	of	ADP
ejpam-1847	379	40	the	the	DET
ejpam-1847	379	41	true	true	ADJ
ejpam-1847	379	42	model	model	NOUN
ejpam-1847	379	43	vo	vo	NOUN
ejpam-1847	379	44	or	or	CCONJ
ejpam-1847	379	45	the	the	DET
ejpam-1847	379	46	best	good	ADJ
ejpam-1847	379	47	var	var	NOUN
ejpam-1847	379	48	model	model	NOUN
ejpam-1847	379	49	v	v	ADP
ejpam-1847	379	50	∗	∗	NOUN
ejpam-1847	379	51	for	for	ADP
ejpam-1847	379	52	modelling	model	VERB
ejpam-1847	379	53	yt	yt	X
ejpam-1847	379	54	=	=	SYM
ejpam-1847	379	55	(	(	PUNCT
ejpam-1847	379	56	y1	y1	INTJ
ejpam-1847	379	57	t	t	PROPN
ejpam-1847	379	58	,	,	PUNCT
ejpam-1847	379	59	y2	y2	PROPN
ejpam-1847	379	60	t	t	PROPN
ejpam-1847	379	61	.	.	PUNCT
ejpam-1847	379	62	.	.	PUNCT
ejpam-1847	379	63	.	.	PUNCT
ejpam-1847	380	1	yqt)′	yqt)′	X
ejpam-1847	380	2	,	,	PUNCT
ejpam-1847	380	3	i.e.	i.e.	X
ejpam-1847	380	4	,	,	PUNCT
ejpam-1847	380	5	ev	ev	X
ejpam-1847	380	6	=	=	SYM
ejpam-1847	380	7	{	{	PUNCT
ejpam-1847	380	8	vi	vi	PROPN
ejpam-1847	380	9	,	,	PUNCT
ejpam-1847	380	10	jk	jk	PROPN
ejpam-1847	381	1	|	|	ADV
ejpam-1847	381	2	i	i	NOUN
ejpam-1847	381	3	=	=	NOUN
ejpam-1847	381	4	1	1	NUM
ejpam-1847	381	5	,	,	PUNCT
ejpam-1847	381	6	.	.	PUNCT
ejpam-1847	381	7	.	.	PUNCT
ejpam-1847	381	8	.	.	PUNCT
ejpam-1847	382	1	,	,	PUNCT
ejpam-1847	382	2	p	p	X
ejpam-1847	382	3	;	;	PUNCT
ejpam-1847	382	4	j	j	PROPN
ejpam-1847	382	5	,	,	PUNCT
ejpam-1847	382	6	k	k	PROPN
ejpam-1847	382	7	=	=	SYM
ejpam-1847	382	8	1	1	NUM
ejpam-1847	382	9	,	,	PUNCT
ejpam-1847	382	10	.	.	PUNCT
ejpam-1847	382	11	.	.	PUNCT
ejpam-1847	382	12	.	.	PUNCT
ejpam-1847	383	1	,	,	PUNCT
ejpam-1847	383	2	q	q	NOUN
ejpam-1847	383	3	;	;	PUNCT
ejpam-1847	383	4	bpr(vi	bpr(vi	NOUN
ejpam-1847	383	5	,	,	PUNCT
ejpam-1847	383	6	jk	jk	X
ejpam-1847	383	7	=	=	PUNCT
ejpam-1847	383	8	1)≥	1)≥	NUM
ejpam-1847	383	9	0.5	0.5	NUM
ejpam-1847	383	10	.	.	PUNCT
ejpam-1847	383	11	}	}	PUNCT
ejpam-1847	383	12	by	by	ADP
ejpam-1847	383	13	proposition	proposition	NOUN
ejpam-1847	383	14	2	2	NUM
ejpam-1847	383	15	we	we	PRON
ejpam-1847	383	16	know	know	VERB
ejpam-1847	383	17	ev	ev	INTJ
ejpam-1847	383	18	will	will	AUX
ejpam-1847	383	19	asymptotically	asymptotically	ADV
ejpam-1847	383	20	at	at	ADV
ejpam-1847	383	21	least	least	ADJ
ejpam-1847	383	22	include	include	VERB
ejpam-1847	383	23	those	those	DET
ejpam-1847	383	24	var	var	NOUN
ejpam-1847	383	25	coefficients	coefficient	NOUN
ejpam-1847	383	26	indexed	index	VERB
ejpam-1847	383	27	by	by	ADP
ejpam-1847	383	28	βo	βo	NOUN
ejpam-1847	383	29	,	,	PUNCT
ejpam-1847	383	30	i.e.	i.e.	X
ejpam-1847	383	31	identified	identify	VERB
ejpam-1847	383	32	by	by	ADP
ejpam-1847	383	33	the	the	DET
ejpam-1847	383	34	true	true	ADJ
ejpam-1847	383	35	model	model	NOUN
ejpam-1847	383	36	vo	vo	PROPN
ejpam-1847	383	37	.	.	PUNCT
ejpam-1847	384	1	so	so	ADV
ejpam-1847	384	2	ev	ev	PROPN
ejpam-1847	384	3	will	will	AUX
ejpam-1847	384	4	at	at	ADV
ejpam-1847	384	5	least	least	ADJ
ejpam-1847	384	6	be	be	AUX
ejpam-1847	384	7	a	a	DET
ejpam-1847	384	8	correct	correct	ADJ
ejpam-1847	384	9	model	model	NOUN
ejpam-1847	384	10	in	in	ADP
ejpam-1847	384	11	m1	m1	PROPN
ejpam-1847	384	12	asymptotically	asymptotically	ADV
ejpam-1847	384	13	.	.	PUNCT
ejpam-1847	385	1	following	follow	VERB
ejpam-1847	385	2	the	the	DET
ejpam-1847	385	3	argument	argument	NOUN
ejpam-1847	385	4	of	of	ADP
ejpam-1847	385	5	[	[	X
ejpam-1847	385	6	30	30	NUM
ejpam-1847	385	7	,	,	PUNCT
ejpam-1847	385	8	p2	p2	X
ejpam-1847	385	9	]	]	X
ejpam-1847	385	10	the	the	DET
ejpam-1847	385	11	preceding	precede	VERB
ejpam-1847	385	12	discussion	discussion	NOUN
ejpam-1847	385	13	can	can	AUX
ejpam-1847	385	14	be	be	AUX
ejpam-1847	385	15	extended	extend	VERB
ejpam-1847	385	16	to	to	ADP
ejpam-1847	385	17	the	the	DET
ejpam-1847	385	18	situation	situation	NOUN
ejpam-1847	385	19	where	where	SCONJ
ejpam-1847	385	20	{	{	PUNCT
ejpam-1847	385	21	v	v	NOUN
ejpam-1847	385	22	(	(	PUNCT
ejpam-1847	385	23	1	1	NUM
ejpam-1847	385	24	)	)	PUNCT
ejpam-1847	385	25	,	,	PUNCT
ejpam-1847	385	26	.	.	PUNCT
ejpam-1847	385	27	.	.	PUNCT
ejpam-1847	385	28	.	.	PUNCT
ejpam-1847	386	1	,	,	PUNCT
ejpam-1847	386	2	v	v	X
ejpam-1847	386	3	(	(	PUNCT
ejpam-1847	386	4	h	h	NOUN
ejpam-1847	386	5	)	)	PUNCT
ejpam-1847	386	6	}	}	PUNCT
ejpam-1847	386	7	is	be	AUX
ejpam-1847	386	8	only	only	ADV
ejpam-1847	386	9	an	an	DET
ejpam-1847	386	10	ergodic	ergodic	ADJ
ejpam-1847	386	11	and	and	CCONJ
ejpam-1847	386	12	reversible	reversible	ADJ
ejpam-1847	386	13	markov	markov	NOUN
ejpam-1847	386	14	chain	chain	NOUN
ejpam-1847	386	15	with	with	ADP
ejpam-1847	386	16	the	the	DET
ejpam-1847	386	17	stationary	stationary	ADJ
ejpam-1847	386	18	distribution	distribution	NOUN
ejpam-1847	386	19	pvscλ	pvscλ	NOUN
ejpam-1847	386	20	(	(	PUNCT
ejpam-1847	386	21	or	or	CCONJ
ejpam-1847	386	22	the	the	DET
ejpam-1847	386	23	modification	modification	NOUN
ejpam-1847	386	24	)	)	PUNCT
ejpam-1847	386	25	,	,	PUNCT
ejpam-1847	386	26	i.e.	i.e.	X
ejpam-1847	386	27	,	,	PUNCT
ejpam-1847	386	28	a	a	DET
ejpam-1847	386	29	sequence	sequence	NOUN
ejpam-1847	386	30	generated	generate	VERB
ejpam-1847	386	31	by	by	ADP
ejpam-1847	386	32	our	our	PRON
ejpam-1847	386	33	gibbs	gibbs	PROPN
ejpam-1847	386	34	sampler	sampler	NOUN
ejpam-1847	386	35	algorithm	algorithm	NOUN
ejpam-1847	386	36	after	after	ADP
ejpam-1847	386	37	reaching	reach	VERB
ejpam-1847	386	38	equilibrium	equilibrium	NOUN
ejpam-1847	386	39	.	.	PUNCT
ejpam-1847	387	1	an	an	DET
ejpam-1847	387	2	advantage	advantage	NOUN
ejpam-1847	387	3	of	of	ADP
ejpam-1847	387	4	the	the	DET
ejpam-1847	387	5	method	method	NOUN
ejpam-1847	387	6	that	that	PRON
ejpam-1847	387	7	is	be	AUX
ejpam-1847	387	8	based	base	VERB
ejpam-1847	387	9	on	on	ADP
ejpam-1847	387	10	estimating	estimate	VERB
ejpam-1847	387	11	the	the	DET
ejpam-1847	387	12	marginal	marginal	ADJ
ejpam-1847	387	13	distributions	distribution	NOUN
ejpam-1847	387	14	is	be	AUX
ejpam-1847	387	15	that	that	SCONJ
ejpam-1847	387	16	the	the	DET
ejpam-1847	387	17	model	model	NOUN
ejpam-1847	387	18	sample	sample	NOUN
ejpam-1847	387	19	size	size	NOUN
ejpam-1847	387	20	h	h	NOUN
ejpam-1847	387	21	does	do	AUX
ejpam-1847	387	22	not	not	PART
ejpam-1847	387	23	need	need	VERB
ejpam-1847	387	24	to	to	PART
ejpam-1847	387	25	be	be	AUX
ejpam-1847	387	26	very	very	ADV
ejpam-1847	387	27	large	large	ADJ
ejpam-1847	387	28	and	and	CCONJ
ejpam-1847	387	29	is	be	AUX
ejpam-1847	387	30	unlikely	unlikely	ADJ
ejpam-1847	387	31	to	to	PART
ejpam-1847	387	32	depend	depend	VERB
ejpam-1847	387	33	on	on	ADP
ejpam-1847	387	34	whether	whether	SCONJ
ejpam-1847	387	35	the	the	DET
ejpam-1847	387	36	number	number	NOUN
ejpam-1847	387	37	of	of	ADP
ejpam-1847	387	38	candidate	candidate	NOUN
ejpam-1847	387	39	models	model	NOUN
ejpam-1847	387	40	2pq2	2pq2	NUM
ejpam-1847	387	41	is	be	AUX
ejpam-1847	387	42	too	too	ADV
ejpam-1847	387	43	large	large	ADJ
ejpam-1847	387	44	or	or	CCONJ
ejpam-1847	387	45	not	not	PART
ejpam-1847	387	46	.	.	PUNCT
ejpam-1847	388	1	as	as	ADP
ejpam-1847	388	2	a	a	DET
ejpam-1847	388	3	rule	rule	NOUN
ejpam-1847	388	4	of	of	ADP
ejpam-1847	388	5	thumb	thumb	NOUN
ejpam-1847	388	6	,	,	PUNCT
ejpam-1847	388	7	h	h	NOUN
ejpam-1847	388	8	can	can	AUX
ejpam-1847	388	9	be	be	AUX
ejpam-1847	388	10	determined	determine	VERB
ejpam-1847	388	11	from	from	ADP
ejpam-1847	388	12	a	a	DET
ejpam-1847	388	13	pre	pre	ADJ
ejpam-1847	388	14	-	-	ADJ
ejpam-1847	388	15	specified	specified	ADJ
ejpam-1847	388	16	desired	desire	VERB
ejpam-1847	388	17	standard	standard	ADJ
ejpam-1847	388	18	error	error	NOUN
ejpam-1847	388	19	δ	δ	NOUN
ejpam-1847	388	20	for	for	ADP
ejpam-1847	388	21	bpr(vi	bpr(vi	NOUN
ejpam-1847	388	22	,	,	PUNCT
ejpam-1847	388	23	jk	jk	NOUN
ejpam-1847	388	24	=	=	PUNCT
ejpam-1847	388	25	1	1	NUM
ejpam-1847	388	26	)	)	PUNCT
ejpam-1847	388	27	,	,	PUNCT
ejpam-1847	388	28	i.e.	i.e.	X
ejpam-1847	388	29	h	h	NOUN
ejpam-1847	388	30	=	=	SYM
ejpam-1847	388	31	(	(	PUNCT
ejpam-1847	388	32	2δ)−2	2δ)−2	NUM
ejpam-1847	388	33	.	.	PUNCT
ejpam-1847	389	1	of	of	ADP
ejpam-1847	389	2	course	course	ADV
ejpam-1847	389	3	,	,	PUNCT
ejpam-1847	389	4	it	it	PRON
ejpam-1847	389	5	is	be	AUX
ejpam-1847	389	6	possible	possible	ADJ
ejpam-1847	389	7	that	that	SCONJ
ejpam-1847	389	8	ev	ev	PROPN
ejpam-1847	389	9	still	still	ADV
ejpam-1847	389	10	has	have	AUX
ejpam-1847	389	11	not	not	PART
ejpam-1847	389	12	removed	remove	VERB
ejpam-1847	389	13	all	all	DET
ejpam-1847	389	14	the	the	DET
ejpam-1847	389	15	redundant	redundant	ADJ
ejpam-1847	389	16	var	var	NOUN
ejpam-1847	389	17	coefficients	coefficient	NOUN
ejpam-1847	389	18	in	in	ADP
ejpam-1847	389	19	comparison	comparison	NOUN
ejpam-1847	389	20	to	to	ADP
ejpam-1847	389	21	the	the	DET
ejpam-1847	389	22	true	true	ADJ
ejpam-1847	389	23	model	model	NOUN
ejpam-1847	389	24	vo	vo	PROPN
ejpam-1847	389	25	.	.	PUNCT
ejpam-1847	390	1	but	but	CCONJ
ejpam-1847	390	2	it	it	PRON
ejpam-1847	390	3	is	be	AUX
ejpam-1847	390	4	highly	highly	ADV
ejpam-1847	390	5	likely	likely	ADJ
ejpam-1847	390	6	that	that	SCONJ
ejpam-1847	390	7	ev	ev	PROPN
ejpam-1847	390	8	is	be	AUX
ejpam-1847	390	9	a	a	DET
ejpam-1847	390	10	correct	correct	ADJ
ejpam-1847	390	11	model	model	NOUN
ejpam-1847	390	12	simpler	simple	ADJ
ejpam-1847	390	13	than	than	ADP
ejpam-1847	390	14	the	the	DET
ejpam-1847	390	15	full	full	ADJ
ejpam-1847	390	16	model	model	NOUN
ejpam-1847	390	17	.	.	PUNCT
ejpam-1847	391	1	regarding	regard	VERB
ejpam-1847	391	2	ev	ev	INTJ
ejpam-1847	391	3	as	as	ADP
ejpam-1847	391	4	a	a	DET
ejpam-1847	391	5	new	new	ADJ
ejpam-1847	391	6	full	full	ADJ
ejpam-1847	391	7	model	model	NOUN
ejpam-1847	391	8	,	,	PUNCT
ejpam-1847	391	9	it	it	PRON
ejpam-1847	391	10	is	be	AUX
ejpam-1847	391	11	possible	possible	ADJ
ejpam-1847	391	12	to	to	PART
ejpam-1847	391	13	generate	generate	VERB
ejpam-1847	391	14	another	another	DET
ejpam-1847	391	15	random	random	ADJ
ejpam-1847	391	16	sample	sample	NOUN
ejpam-1847	391	17	of	of	ADP
ejpam-1847	391	18	models	model	NOUN
ejpam-1847	391	19	and	and	CCONJ
ejpam-1847	391	20	conduct	conduct	VERB
ejpam-1847	391	21	a	a	DET
ejpam-1847	391	22	second	second	ADJ
ejpam-1847	391	23	round	round	NOUN
ejpam-1847	391	24	of	of	ADP
ejpam-1847	391	25	search	search	NOUN
ejpam-1847	391	26	which	which	PRON
ejpam-1847	391	27	may	may	AUX
ejpam-1847	391	28	return	return	VERB
ejpam-1847	391	29	a	a	DET
ejpam-1847	391	30	better	well	ADJ
ejpam-1847	391	31	estimate	estimate	NOUN
ejpam-1847	391	32	of	of	ADP
ejpam-1847	391	33	the	the	DET
ejpam-1847	391	34	best	good	ADJ
ejpam-1847	391	35	model	model	NOUN
ejpam-1847	391	36	than	than	ADP
ejpam-1847	391	37	ev	ev	PROPN
ejpam-1847	391	38	.	.	PUNCT
ejpam-1847	392	1	finally	finally	ADV
ejpam-1847	392	2	,	,	PUNCT
ejpam-1847	392	3	based	base	VERB
ejpam-1847	392	4	on	on	ADP
ejpam-1847	392	5	the	the	DET
ejpam-1847	392	6	generated	generate	VERB
ejpam-1847	392	7	markov	markov	NOUN
ejpam-1847	392	8	chain	chain	NOUN
ejpam-1847	392	9	{	{	PUNCT
ejpam-1847	392	10	v	v	NOUN
ejpam-1847	392	11	(	(	PUNCT
ejpam-1847	392	12	1	1	NUM
ejpam-1847	392	13	)	)	PUNCT
ejpam-1847	392	14	,	,	PUNCT
ejpam-1847	392	15	.	.	PUNCT
ejpam-1847	392	16	.	.	PUNCT
ejpam-1847	393	1	.	.	PUNCT
ejpam-1847	394	1	,	,	PUNCT
ejpam-1847	394	2	v	v	X
ejpam-1847	394	3	(	(	PUNCT
ejpam-1847	394	4	h	h	NOUN
ejpam-1847	394	5	)	)	PUNCT
ejpam-1847	394	6	}	}	PUNCT
ejpam-1847	394	7	the	the	DET
ejpam-1847	394	8	marginal	marginal	ADJ
ejpam-1847	394	9	probability	probability	NOUN
ejpam-1847	394	10	pr(vi	pr(vi	PROPN
ejpam-1847	394	11	,	,	PUNCT
ejpam-1847	394	12	jk	jk	NOUN
ejpam-1847	394	13	=	=	SYM
ejpam-1847	394	14	1	1	X
ejpam-1847	394	15	)	)	PUNCT
ejpam-1847	394	16	may	may	AUX
ejpam-1847	394	17	be	be	AUX
ejpam-1847	394	18	more	more	ADV
ejpam-1847	394	19	precisely	precisely	ADV
ejpam-1847	394	20	estimated	estimate	VERB
ejpam-1847	394	21	by	by	ADP
ejpam-1847	394	22	the	the	DET
ejpam-1847	394	23	rao	rao	NOUN
ejpam-1847	394	24	-	-	PUNCT
ejpam-1847	394	25	blackwellized	blackwellize	VERB
ejpam-1847	394	26	estimate	estimate	NOUN
ejpam-1847	394	27	:	:	PUNCT
ejpam-1847	394	28	epr((vi	epr((vi	PROPN
ejpam-1847	394	29	,	,	PUNCT
ejpam-1847	394	30	jk	jk	NOUN
ejpam-1847	394	31	=	=	PUNCT
ejpam-1847	395	1	1	1	X
ejpam-1847	395	2	)	)	PUNCT
ejpam-1847	395	3	=	=	SYM
ejpam-1847	395	4	1	1	NUM
ejpam-1847	395	5	h	h	NOUN
ejpam-1847	395	6	h	h	NOUN
ejpam-1847	395	7	∑	∑	PUNCT
ejpam-1847	395	8	h=1	h=1	NOUN
ejpam-1847	395	9	pr{vi	pr{vi	PROPN
ejpam-1847	395	10	,	,	PUNCT
ejpam-1847	395	11	jk	jk	NOUN
ejpam-1847	395	12	=	=	PUNCT
ejpam-1847	396	1	1	1	NUM
ejpam-1847	396	2	|	|	ADV
ejpam-1847	396	3	v	v	NOUN
ejpam-1847	396	4	(	(	PUNCT
ejpam-1847	396	5	h)−i	h)−i	PROPN
ejpam-1847	396	6	,	,	PUNCT
ejpam-1847	396	7	jk	jk	NOUN
ejpam-1847	396	8	}	}	PUNCT
ejpam-1847	396	9	=	=	SYM
ejpam-1847	396	10	1	1	NUM
ejpam-1847	396	11	h	h	NOUN
ejpam-1847	396	12	h	h	NOUN
ejpam-1847	396	13	∑	∑	PUNCT
ejpam-1847	396	14	h=1	h=1	NOUN
ejpam-1847	396	15	exp{−λvmsc(v	exp{−λvmsc(v	NOUN
ejpam-1847	396	16	)	)	PUNCT
ejpam-1847	396	17	}	}	PUNCT
ejpam-1847	396	18	|vi	|vi	PROPN
ejpam-1847	396	19	,	,	PUNCT
ejpam-1847	396	20	jk=1,v−i	jk=1,v−i	PROPN
ejpam-1847	396	21	,	,	PUNCT
ejpam-1847	396	22	jk	jk	PROPN
ejpam-1847	396	23	=	=	PROPN
ejpam-1847	396	24	v	v	X
ejpam-1847	396	25	(	(	PUNCT
ejpam-1847	396	26	h)−i	h)−i	PROPN
ejpam-1847	396	27	,	,	PUNCT
ejpam-1847	396	28	jk	jk	PROPN
ejpam-1847	396	29	∑	∑	PROPN
ejpam-1847	396	30	vi	vi	PROPN
ejpam-1847	396	31	,	,	PUNCT
ejpam-1847	396	32	jk=0,1	jk=0,1	NOUN
ejpam-1847	396	33	exp{−λvmsc(v	exp{−λvmsc(v	NOUN
ejpam-1847	396	34	)	)	PUNCT
ejpam-1847	396	35	}	}	PUNCT
ejpam-1847	396	36	|v−i	|v−i	PROPN
ejpam-1847	396	37	,	,	PUNCT
ejpam-1847	396	38	jk	jk	PROPN
ejpam-1847	396	39	=	=	PROPN
ejpam-1847	396	40	v	v	X
ejpam-1847	396	41	(	(	PUNCT
ejpam-1847	396	42	h)−i	h)−i	PROPN
ejpam-1847	396	43	,	,	PUNCT
ejpam-1847	396	44	jk	jk	PROPN
ejpam-1847	396	45	.	.	PUNCT
ejpam-1847	397	1	however	however	ADV
ejpam-1847	397	2	,	,	PUNCT
ejpam-1847	397	3	the	the	DET
ejpam-1847	397	4	estimate	estimate	NOUN
ejpam-1847	397	5	epr(vi	epr(vi	NOUN
ejpam-1847	397	6	,	,	PUNCT
ejpam-1847	397	7	jk	jk	NOUN
ejpam-1847	397	8	=	=	SYM
ejpam-1847	397	9	1	1	X
ejpam-1847	397	10	)	)	PUNCT
ejpam-1847	397	11	involves	involve	VERB
ejpam-1847	397	12	more	more	ADJ
ejpam-1847	397	13	computation	computation	NOUN
ejpam-1847	397	14	,	,	PUNCT
ejpam-1847	397	15	and	and	CCONJ
ejpam-1847	397	16	since	since	SCONJ
ejpam-1847	397	17	we	we	PRON
ejpam-1847	397	18	only	only	ADV
ejpam-1847	397	19	use	use	VERB
ejpam-1847	397	20	an	an	DET
ejpam-1847	397	21	estimate	estimate	NOUN
ejpam-1847	397	22	of	of	ADP
ejpam-1847	397	23	pr(vi	pr(vi	PROPN
ejpam-1847	397	24	,	,	PUNCT
ejpam-1847	397	25	jk	jk	NOUN
ejpam-1847	397	26	=	=	PUNCT
ejpam-1847	397	27	1	1	NUM
ejpam-1847	397	28	)	)	PUNCT
ejpam-1847	397	29	for	for	ADP
ejpam-1847	397	30	deciding	decide	VERB
ejpam-1847	397	31	whether	whether	SCONJ
ejpam-1847	397	32	it	it	PRON
ejpam-1847	397	33	is	be	AUX
ejpam-1847	397	34	greater	great	ADJ
ejpam-1847	397	35	than	than	ADP
ejpam-1847	397	36	0.5	0.5	NUM
ejpam-1847	397	37	or	or	CCONJ
ejpam-1847	397	38	not	not	PART
ejpam-1847	397	39	,	,	PUNCT
ejpam-1847	397	40	we	we	PRON
ejpam-1847	397	41	do	do	AUX
ejpam-1847	397	42	not	not	PART
ejpam-1847	397	43	employ	employ	VERB
ejpam-1847	397	44	this	this	DET
ejpam-1847	397	45	rao	rao	NOUN
ejpam-1847	397	46	-	-	PUNCT
ejpam-1847	397	47	blackwellized	blackwellize	VERB
ejpam-1847	397	48	estimate	estimate	NOUN
ejpam-1847	397	49	in	in	ADP
ejpam-1847	397	50	our	our	PRON
ejpam-1847	397	51	method	method	NOUN
ejpam-1847	397	52	.	.	PUNCT
ejpam-1847	398	1	5	5	NUM
ejpam-1847	398	2	.	.	X
ejpam-1847	398	3	numerical	numerical	ADJ
ejpam-1847	398	4	studies	study	NOUN
ejpam-1847	398	5	in	in	ADP
ejpam-1847	398	6	this	this	DET
ejpam-1847	398	7	section	section	NOUN
ejpam-1847	398	8	we	we	PRON
ejpam-1847	398	9	will	will	AUX
ejpam-1847	398	10	assess	assess	VERB
ejpam-1847	398	11	the	the	DET
ejpam-1847	398	12	performance	performance	NOUN
ejpam-1847	398	13	of	of	ADP
ejpam-1847	398	14	the	the	DET
ejpam-1847	398	15	proposed	propose	VERB
ejpam-1847	398	16	gibbs	gibbs	PROPN
ejpam-1847	398	17	sampler	sampler	NOUN
ejpam-1847	398	18	model	model	NOUN
ejpam-1847	398	19	selection	selection	NOUN
ejpam-1847	398	20	method	method	NOUN
ejpam-1847	398	21	using	use	VERB
ejpam-1847	398	22	two	two	NUM
ejpam-1847	398	23	examples	example	NOUN
ejpam-1847	398	24	.	.	PUNCT
ejpam-1847	399	1	we	we	PRON
ejpam-1847	399	2	have	have	AUX
ejpam-1847	399	3	used	use	VERB
ejpam-1847	399	4	bic	bic	PROPN
ejpam-1847	399	5	in	in	ADP
ejpam-1847	399	6	implementing	implement	VERB
ejpam-1847	399	7	our	our	PRON
ejpam-1847	399	8	model	model	NOUN
ejpam-1847	399	9	selection	selection	NOUN
ejpam-1847	399	10	procedure	procedure	NOUN
ejpam-1847	399	11	in	in	ADP
ejpam-1847	399	12	example	example	NOUN
ejpam-1847	399	13	1	1	NUM
ejpam-1847	399	14	and	and	CCONJ
ejpam-1847	399	15	have	have	AUX
ejpam-1847	399	16	used	use	VERB
ejpam-1847	399	17	aic	aic	PROPN
ejpam-1847	399	18	in	in	ADP
ejpam-1847	399	19	example	example	NOUN
ejpam-1847	399	20	2	2	NUM
ejpam-1847	399	21	.	.	X
ejpam-1847	399	22	implementation	implementation	NOUN
ejpam-1847	399	23	using	use	VERB
ejpam-1847	399	24	the	the	DET
ejpam-1847	399	25	other	other	ADJ
ejpam-1847	399	26	criteria	criterion	NOUN
ejpam-1847	399	27	such	such	ADJ
ejpam-1847	399	28	as	as	ADP
ejpam-1847	399	29	aicc	aicc	NOUN
ejpam-1847	399	30	and	and	CCONJ
ejpam-1847	399	31	hq	hq	PROPN
ejpam-1847	399	32	would	would	AUX
ejpam-1847	399	33	x.zhao	x.zhao	PROPN
ejpam-1847	399	34	,	,	PUNCT
ejpam-1847	399	35	g.	g.	PROPN
ejpam-1847	399	36	qian	qian	PROPN
ejpam-1847	399	37	/	/	SYM
ejpam-1847	399	38	eur	eur	PROPN
ejpam-1847	399	39	.	.	PUNCT
ejpam-1847	400	1	j.	j.	PROPN
ejpam-1847	400	2	pure	pure	PROPN
ejpam-1847	400	3	appl	appl	PROPN
ejpam-1847	400	4	.	.	PROPN
ejpam-1847	400	5	math	math	PROPN
ejpam-1847	400	6	,	,	PUNCT
ejpam-1847	400	7	7	7	NUM
ejpam-1847	400	8	(	(	PUNCT
ejpam-1847	400	9	2014	2014	NUM
ejpam-1847	400	10	)	)	PUNCT
ejpam-1847	400	11	,	,	PUNCT
ejpam-1847	400	12	1	1	NUM
ejpam-1847	400	13	-	-	SYM
ejpam-1847	400	14	21	21	NUM
ejpam-1847	400	15	14	14	NUM
ejpam-1847	400	16	be	be	AUX
ejpam-1847	400	17	the	the	DET
ejpam-1847	400	18	same	same	ADJ
ejpam-1847	400	19	but	but	CCONJ
ejpam-1847	400	20	may	may	AUX
ejpam-1847	400	21	produce	produce	VERB
ejpam-1847	400	22	somewhat	somewhat	ADV
ejpam-1847	400	23	different	different	ADJ
ejpam-1847	400	24	finite	finite	ADJ
ejpam-1847	400	25	sample	sample	NOUN
ejpam-1847	400	26	results	result	NOUN
ejpam-1847	400	27	due	due	ADP
ejpam-1847	400	28	to	to	ADP
ejpam-1847	400	29	their	their	PRON
ejpam-1847	400	30	respective	respective	ADJ
ejpam-1847	400	31	different	different	ADJ
ejpam-1847	400	32	asymptotic	asymptotic	ADJ
ejpam-1847	400	33	properties	property	NOUN
ejpam-1847	400	34	.	.	PUNCT
ejpam-1847	401	1	example	example	NOUN
ejpam-1847	401	2	1	1	NUM
ejpam-1847	401	3	:	:	PUNCT
ejpam-1847	401	4	simulated	simulate	VERB
ejpam-1847	401	5	data	datum	NOUN
ejpam-1847	401	6	to	to	PART
ejpam-1847	401	7	show	show	VERB
ejpam-1847	401	8	the	the	DET
ejpam-1847	401	9	strong	strong	ADJ
ejpam-1847	401	10	efficiency	efficiency	NOUN
ejpam-1847	401	11	of	of	ADP
ejpam-1847	401	12	our	our	PRON
ejpam-1847	401	13	model	model	NOUN
ejpam-1847	401	14	selection	selection	NOUN
ejpam-1847	401	15	method	method	NOUN
ejpam-1847	401	16	we	we	PRON
ejpam-1847	401	17	have	have	AUX
ejpam-1847	401	18	generated	generate	VERB
ejpam-1847	401	19	a	a	DET
ejpam-1847	401	20	threevariable	threevariable	ADJ
ejpam-1847	401	21	time	time	NOUN
ejpam-1847	401	22	series	series	NOUN
ejpam-1847	401	23	yt	yt	NOUN
ejpam-1847	402	1	=	=	SYM
ejpam-1847	402	2	(	(	PUNCT
ejpam-1847	402	3	y1,t	y1,t	PROPN
ejpam-1847	402	4	,	,	PUNCT
ejpam-1847	402	5	y2,t	y2,t	PROPN
ejpam-1847	402	6	,	,	PUNCT
ejpam-1847	402	7	y3,t	y3,t	PROPN
ejpam-1847	402	8	)	)	PUNCT
ejpam-1847	402	9	′	′	NUM
ejpam-1847	402	10	of	of	ADP
ejpam-1847	402	11	300	300	NUM
ejpam-1847	402	12	observations	observation	NOUN
ejpam-1847	402	13	from	from	ADP
ejpam-1847	402	14	the	the	DET
ejpam-1847	402	15	following	follow	VERB
ejpam-1847	402	16	stationary	stationary	ADJ
ejpam-1847	402	17	var	var	NOUN
ejpam-1847	402	18	process	process	NOUN
ejpam-1847	402	19			NOUN
ejpam-1847	402	20			NOUN
ejpam-1847	402	21			NOUN
ejpam-1847	403	1	y1,t	y1,t	PROPN
ejpam-1847	403	2	y2,t	y2,t	PROPN
ejpam-1847	403	3	y3,t	y3,t	PROPN
ejpam-1847	403	4			NOUN
ejpam-1847	403	5			VERB
ejpam-1847	403	6			PUNCT
ejpam-1847	404	1	=	=	PUNCT
ejpam-1847	404	2			PROPN
ejpam-1847	404	3			NOUN
ejpam-1847	404	4			NOUN
ejpam-1847	404	5	0.6	0.6	NUM
ejpam-1847	404	6	0.3	0.3	NUM
ejpam-1847	404	7	0	0	NUM
ejpam-1847	404	8	0	0	NUM
ejpam-1847	404	9	0.8	0.8	NUM
ejpam-1847	404	10	0	0	NUM
ejpam-1847	404	11	0	0	NUM
ejpam-1847	404	12	0	0	NUM
ejpam-1847	404	13	0.3	0.3	NUM
ejpam-1847	404	14			NOUN
ejpam-1847	404	15			NOUN
ejpam-1847	404	16			PUNCT
ejpam-1847	405	1			PROPN
ejpam-1847	405	2			NOUN
ejpam-1847	405	3			PROPN
ejpam-1847	405	4	y1,t−1	y1,t−1	ADJ
ejpam-1847	405	5	y2,t−1	y2,t−1	ADJ
ejpam-1847	405	6	y3,t−1	y3,t−1	PROPN
ejpam-1847	405	7			PROPN
ejpam-1847	405	8			NOUN
ejpam-1847	405	9			PUNCT
ejpam-1847	406	1	+	+	PUNCT
ejpam-1847	406	2			NOUN
ejpam-1847	406	3			NOUN
ejpam-1847	406	4			NOUN
ejpam-1847	406	5	0.5	0.5	NUM
ejpam-1847	406	6	0	0	NUM
ejpam-1847	406	7	0	0	NUM
ejpam-1847	406	8	0	0	NUM
ejpam-1847	406	9	0.5	0.5	NUM
ejpam-1847	406	10	0.3	0.3	NUM
ejpam-1847	406	11	0	0	NUM
ejpam-1847	406	12	0	0	NUM
ejpam-1847	406	13	0.4	0.4	NUM
ejpam-1847	406	14			NOUN
ejpam-1847	406	15			NOUN
ejpam-1847	406	16			PUNCT
ejpam-1847	407	1			PROPN
ejpam-1847	407	2			NOUN
ejpam-1847	407	3			NOUN
ejpam-1847	407	4	y1,t−2	y1,t−2	NOUN
ejpam-1847	407	5	y2,t−2	y2,t−2	NOUN
ejpam-1847	407	6	y3,t−2	y3,t−2	NOUN
ejpam-1847	407	7			NOUN
ejpam-1847	407	8			NOUN
ejpam-1847	407	9			PUNCT
ejpam-1847	408	1	+	+	PUNCT
ejpam-1847	408	2			NOUN
ejpam-1847	408	3			NOUN
ejpam-1847	408	4			NOUN
ejpam-1847	408	5	−0.3	−0.3	NUM
ejpam-1847	408	6	0	0	NUM
ejpam-1847	408	7	0	0	NUM
ejpam-1847	408	8	0	0	NUM
ejpam-1847	408	9	−0.4	−0.4	NUM
ejpam-1847	408	10	0	0	NUM
ejpam-1847	408	11	0	0	NUM
ejpam-1847	408	12	0	0	NUM
ejpam-1847	408	13	0	0	NUM
ejpam-1847	408	14			NOUN
ejpam-1847	408	15			NOUN
ejpam-1847	408	16			PUNCT
ejpam-1847	409	1			PROPN
ejpam-1847	409	2			NOUN
ejpam-1847	409	3			NOUN
ejpam-1847	409	4	y1,t−3	y1,t−3	VERB
ejpam-1847	409	5	y2,t−3	y2,t−3	ADJ
ejpam-1847	409	6	y3,t−3	y3,t−3	NOUN
ejpam-1847	409	7			NOUN
ejpam-1847	409	8			NOUN
ejpam-1847	409	9			PUNCT
ejpam-1847	410	1	+	+	PUNCT
ejpam-1847	410	2			NOUN
ejpam-1847	410	3			NOUN
ejpam-1847	410	4			PROPN
ejpam-1847	410	5	ε1,t	ε1,t	PROPN
ejpam-1847	410	6	ε2,t	ε2,t	PROPN
ejpam-1847	410	7	ε3,t	ε3,t	PROPN
ejpam-1847	410	8			PROPN
ejpam-1847	410	9			NOUN
ejpam-1847	410	10			PUNCT
ejpam-1847	411	1	where	where	SCONJ
ejpam-1847	411	2	(	(	PUNCT
ejpam-1847	411	3	ε1,t	ε1,t	PROPN
ejpam-1847	411	4	,	,	PUNCT
ejpam-1847	411	5	ε2,t	ε2,t	PROPN
ejpam-1847	411	6	,	,	PUNCT
ejpam-1847	411	7	ε3,t)′	ε3,t)′	NUM
ejpam-1847	411	8	is	be	AUX
ejpam-1847	411	9	a	a	DET
ejpam-1847	411	10	standard	standard	ADJ
ejpam-1847	411	11	normal	normal	ADJ
ejpam-1847	411	12	random	random	ADJ
ejpam-1847	411	13	vector	vector	NOUN
ejpam-1847	411	14	.	.	PUNCT
ejpam-1847	412	1	now	now	ADV
ejpam-1847	412	2	we	we	PRON
ejpam-1847	412	3	pretend	pretend	VERB
ejpam-1847	412	4	that	that	SCONJ
ejpam-1847	412	5	this	this	DET
ejpam-1847	412	6	true	true	ADJ
ejpam-1847	412	7	model	model	NOUN
ejpam-1847	412	8	is	be	AUX
ejpam-1847	412	9	unknown	unknown	ADJ
ejpam-1847	412	10	to	to	ADP
ejpam-1847	412	11	us	we	PRON
ejpam-1847	412	12	.	.	PUNCT
ejpam-1847	413	1	our	our	PRON
ejpam-1847	413	2	purpose	purpose	NOUN
ejpam-1847	413	3	is	be	AUX
ejpam-1847	413	4	to	to	PART
ejpam-1847	413	5	find	find	VERB
ejpam-1847	413	6	a	a	DET
ejpam-1847	413	7	var	var	NOUN
ejpam-1847	413	8	model	model	NOUN
ejpam-1847	413	9	that	that	PRON
ejpam-1847	413	10	has	have	VERB
ejpam-1847	413	11	the	the	DET
ejpam-1847	413	12	smallest	small	ADJ
ejpam-1847	413	13	bic	bic	NOUN
ejpam-1847	413	14	value	value	NOUN
ejpam-1847	413	15	among	among	ADP
ejpam-1847	413	16	all	all	DET
ejpam-1847	413	17	the	the	DET
ejpam-1847	413	18	candidate	candidate	NOUN
ejpam-1847	413	19	models	model	NOUN
ejpam-1847	413	20	.	.	PUNCT
ejpam-1847	414	1	then	then	ADV
ejpam-1847	414	2	we	we	PRON
ejpam-1847	414	3	can	can	AUX
ejpam-1847	414	4	consider	consider	VERB
ejpam-1847	414	5	this	this	DET
ejpam-1847	414	6	model	model	NOUN
ejpam-1847	414	7	as	as	ADP
ejpam-1847	414	8	an	an	DET
ejpam-1847	414	9	estimate	estimate	NOUN
ejpam-1847	414	10	of	of	ADP
ejpam-1847	414	11	the	the	DET
ejpam-1847	414	12	true	true	ADJ
ejpam-1847	414	13	model	model	NOUN
ejpam-1847	414	14	.	.	PUNCT
ejpam-1847	415	1	the	the	DET
ejpam-1847	415	2	results	result	NOUN
ejpam-1847	415	3	of	of	ADP
ejpam-1847	415	4	using	use	VERB
ejpam-1847	415	5	lütkepohl	lütkepohl	PROPN
ejpam-1847	415	6	’s	’s	PART
ejpam-1847	415	7	lr	lr	NOUN
ejpam-1847	415	8	testing	testing	NOUN
ejpam-1847	415	9	scheme	scheme	NOUN
ejpam-1847	415	10	,	,	PUNCT
ejpam-1847	415	11	presented	present	VERB
ejpam-1847	415	12	in	in	ADP
ejpam-1847	415	13	table	table	NOUN
ejpam-1847	415	14	1	1	NUM
ejpam-1847	415	15	,	,	PUNCT
ejpam-1847	415	16	show	show	VERB
ejpam-1847	415	17	that	that	SCONJ
ejpam-1847	415	18	h(4)0	h(4)0	ADJ
ejpam-1847	415	19	:	:	PUNCT
ejpam-1847	415	20	φ3	φ3	NOUN
ejpam-1847	415	21	=	=	SYM
ejpam-1847	415	22	0	0	NUM
ejpam-1847	415	23	is	be	AUX
ejpam-1847	415	24	the	the	DET
ejpam-1847	415	25	first	first	ADJ
ejpam-1847	415	26	null	null	ADJ
ejpam-1847	415	27	hypothesis	hypothesis	NOUN
ejpam-1847	415	28	that	that	PRON
ejpam-1847	415	29	is	be	AUX
ejpam-1847	415	30	rejected	reject	VERB
ejpam-1847	415	31	.	.	PUNCT
ejpam-1847	416	1	thus	thus	ADV
ejpam-1847	416	2	,	,	PUNCT
ejpam-1847	416	3	the	the	DET
ejpam-1847	416	4	estimated	estimate	VERB
ejpam-1847	416	5	order	order	NOUN
ejpam-1847	416	6	from	from	ADP
ejpam-1847	416	7	the	the	DET
ejpam-1847	416	8	test	test	NOUN
ejpam-1847	416	9	is	be	AUX
ejpam-1847	416	10	p̂	p̂	X
ejpam-1847	416	11	=	=	SYM
ejpam-1847	416	12	3	3	NUM
ejpam-1847	416	13	,	,	PUNCT
ejpam-1847	416	14	and	and	CCONJ
ejpam-1847	416	15	the	the	DET
ejpam-1847	416	16	full	full	ADJ
ejpam-1847	416	17	model	model	NOUN
ejpam-1847	416	18	can	can	AUX
ejpam-1847	416	19	be	be	AUX
ejpam-1847	416	20	represented	represent	VERB
ejpam-1847	416	21	as	as	ADP
ejpam-1847	416	22	the	the	DET
ejpam-1847	416	23	index	index	NOUN
ejpam-1847	416	24	matrix	matrix	NOUN
ejpam-1847	416	25	vf	vf	X
ejpam-1847	416	26	=	=	SYM
ejpam-1847	416	27	{	{	PUNCT
ejpam-1847	416	28	1}3×9	1}3×9	NUM
ejpam-1847	416	29	.	.	PUNCT
ejpam-1847	417	1	then	then	ADV
ejpam-1847	417	2	there	there	PRON
ejpam-1847	417	3	are	be	VERB
ejpam-1847	417	4	227	227	NUM
ejpam-1847	417	5	=	=	SYM
ejpam-1847	417	6	134,217	134,217	NUM
ejpam-1847	417	7	,	,	PUNCT
ejpam-1847	417	8	728	728	NUM
ejpam-1847	417	9	candidate	candidate	NOUN
ejpam-1847	417	10	models	model	NOUN
ejpam-1847	417	11	in	in	ADP
ejpam-1847	417	12	total	total	NOUN
ejpam-1847	417	13	for	for	ADP
ejpam-1847	417	14	selection	selection	NOUN
ejpam-1847	417	15	.	.	PUNCT
ejpam-1847	418	1	table	table	NOUN
ejpam-1847	418	2	1	1	NUM
ejpam-1847	418	3	:	:	PUNCT
ejpam-1847	418	4	results	result	NOUN
ejpam-1847	418	5	of	of	ADP
ejpam-1847	418	6	lütkepohl	lütkepohl	NOUN
ejpam-1847	418	7	’s	’s	PART
ejpam-1847	418	8	lr	lr	NOUN
ejpam-1847	418	9	test	test	NOUN
ejpam-1847	418	10	in	in	ADP
ejpam-1847	418	11	example	example	NOUN
ejpam-1847	418	12	1	1	NUM
ejpam-1847	418	13	(	(	PUNCT
ejpam-1847	418	14	note	note	VERB
ejpam-1847	418	15	χ2	χ2	NOUN
ejpam-1847	418	16	9	9	NUM
ejpam-1847	418	17	(	(	PUNCT
ejpam-1847	418	18	0.95	0.95	NUM
ejpam-1847	418	19	)	)	PUNCT
ejpam-1847	418	20	=	=	NOUN
ejpam-1847	419	1	16.92	16.92	NUM
ejpam-1847	419	2	)	)	PUNCT
ejpam-1847	420	1	i	i	PRON
ejpam-1847	420	2	h(i)o	h(i)o	PROPN
ejpam-1847	420	3	var	var	NOUN
ejpam-1847	420	4	order	order	NOUN
ejpam-1847	420	5	under	under	ADP
ejpam-1847	420	6	h(i)0	h(i)0	PROPN
ejpam-1847	420	7	λlr	λlr	VERB
ejpam-1847	420	8	1	1	NUM
ejpam-1847	420	9	φ6	φ6	NOUN
ejpam-1847	420	10	=	=	SYM
ejpam-1847	420	11	0	0	NUM
ejpam-1847	420	12	5	5	NUM
ejpam-1847	420	13	9.10	9.10	NUM
ejpam-1847	420	14	2	2	NUM
ejpam-1847	420	15	φ5	φ5	NOUN
ejpam-1847	420	16	=	=	SYM
ejpam-1847	420	17	0	0	NUM
ejpam-1847	420	18	4	4	NUM
ejpam-1847	420	19	6.16	6.16	NUM
ejpam-1847	420	20	3	3	NUM
ejpam-1847	420	21	φ4	φ4	NOUN
ejpam-1847	420	22	=	=	SYM
ejpam-1847	420	23	0	0	NUM
ejpam-1847	420	24	3	3	NUM
ejpam-1847	420	25	4.73	4.73	NUM
ejpam-1847	420	26	4	4	NUM
ejpam-1847	420	27	φ3	φ3	NOUN
ejpam-1847	420	28	=	=	SYM
ejpam-1847	420	29	0	0	NUM
ejpam-1847	420	30	2	2	NUM
ejpam-1847	420	31	274.05	274.05	NUM
ejpam-1847	420	32	5	5	NUM
ejpam-1847	420	33	φ2	φ2	NOUN
ejpam-1847	420	34	=	=	NOUN
ejpam-1847	420	35	0	0	NUM
ejpam-1847	420	36	1	1	NUM
ejpam-1847	420	37	414.33	414.33	NUM
ejpam-1847	420	38	we	we	PRON
ejpam-1847	420	39	chose	choose	VERB
ejpam-1847	420	40	λ	λ	X
ejpam-1847	420	41	=	=	SYM
ejpam-1847	420	42	0.3	0.3	NUM
ejpam-1847	420	43	and	and	CCONJ
ejpam-1847	420	44	generate	generate	VERB
ejpam-1847	420	45	105	105	NUM
ejpam-1847	420	46	segments	segment	NOUN
ejpam-1847	420	47	of	of	ADP
ejpam-1847	420	48	var	var	NOUN
ejpam-1847	420	49	models	model	NOUN
ejpam-1847	420	50	.	.	PUNCT
ejpam-1847	421	1	in	in	ADP
ejpam-1847	421	2	each	each	DET
ejpam-1847	421	3	segment	segment	NOUN
ejpam-1847	421	4	there	there	PRON
ejpam-1847	421	5	are	be	VERB
ejpam-1847	421	6	27	27	NUM
ejpam-1847	421	7	models	model	NOUN
ejpam-1847	421	8	generated	generate	VERB
ejpam-1847	421	9	corresponding	correspond	VERB
ejpam-1847	421	10	to	to	ADP
ejpam-1847	421	11	the	the	DET
ejpam-1847	421	12	27	27	NUM
ejpam-1847	421	13	progressive	progressive	ADJ
ejpam-1847	421	14	updates	update	NOUN
ejpam-1847	421	15	to	to	ADP
ejpam-1847	421	16	the	the	DET
ejpam-1847	421	17	27	27	NUM
ejpam-1847	421	18	coefficients	coefficient	NOUN
ejpam-1847	421	19	.	.	PUNCT
ejpam-1847	422	1	to	to	PART
ejpam-1847	422	2	reduce	reduce	VERB
ejpam-1847	422	3	the	the	DET
ejpam-1847	422	4	initialization	initialization	ADJ
ejpam-1847	422	5	effect	effect	NOUN
ejpam-1847	422	6	of	of	ADP
ejpam-1847	422	7	the	the	DET
ejpam-1847	422	8	gibbs	gibbs	PROPN
ejpam-1847	422	9	sampler	sampler	NOUN
ejpam-1847	422	10	we	we	PRON
ejpam-1847	422	11	ignore	ignore	VERB
ejpam-1847	422	12	the	the	DET
ejpam-1847	422	13	first	first	ADJ
ejpam-1847	422	14	5	5	NUM
ejpam-1847	422	15	segments	segment	NOUN
ejpam-1847	422	16	from	from	ADP
ejpam-1847	422	17	h0	h0	PROPN
ejpam-1847	422	18	.	.	PROPN
ejpam-1847	423	1	rather	rather	ADV
ejpam-1847	423	2	than	than	SCONJ
ejpam-1847	423	3	take	take	VERB
ejpam-1847	423	4	the	the	DET
ejpam-1847	423	5	last	last	ADJ
ejpam-1847	423	6	model	model	NOUN
ejpam-1847	423	7	of	of	ADP
ejpam-1847	423	8	each	each	DET
ejpam-1847	423	9	segment	segment	NOUN
ejpam-1847	423	10	to	to	PART
ejpam-1847	423	11	form	form	VERB
ejpam-1847	423	12	an	an	DET
ejpam-1847	423	13	initial	initial	ADJ
ejpam-1847	423	14	sample	sample	NOUN
ejpam-1847	423	15	of	of	ADP
ejpam-1847	423	16	size	size	NOUN
ejpam-1847	423	17	100	100	NUM
ejpam-1847	423	18	,	,	PUNCT
ejpam-1847	423	19	we	we	PRON
ejpam-1847	423	20	use	use	VERB
ejpam-1847	423	21	all	all	DET
ejpam-1847	423	22	the	the	DET
ejpam-1847	423	23	2700	2700	NUM
ejpam-1847	423	24	models	model	NOUN
ejpam-1847	423	25	as	as	ADP
ejpam-1847	423	26	the	the	DET
ejpam-1847	423	27	initial	initial	ADJ
ejpam-1847	423	28	sample	sample	NOUN
ejpam-1847	423	29	.	.	PUNCT
ejpam-1847	424	1	then	then	ADV
ejpam-1847	424	2	following	follow	VERB
ejpam-1847	424	3	the	the	DET
ejpam-1847	424	4	method	method	NOUN
ejpam-1847	424	5	of	of	ADP
ejpam-1847	424	6	qian	qian	ADJ
ejpam-1847	424	7	and	and	CCONJ
ejpam-1847	424	8	field	field	NOUN
ejpam-1847	424	9	[	[	X
ejpam-1847	424	10	28	28	NUM
ejpam-1847	424	11	]	]	X
ejpam-1847	424	12	we	we	PRON
ejpam-1847	424	13	apply	apply	VERB
ejpam-1847	424	14	the	the	DET
ejpam-1847	424	15	pearson	pearson	PROPN
ejpam-1847	424	16	’s	’s	PART
ejpam-1847	424	17	χ2	χ2	PROPN
ejpam-1847	424	18	test	test	NOUN
ejpam-1847	424	19	of	of	ADP
ejpam-1847	424	20	independence	independence	NOUN
ejpam-1847	424	21	to	to	PART
ejpam-1847	424	22	check	check	VERB
ejpam-1847	424	23	whether	whether	SCONJ
ejpam-1847	424	24	the	the	DET
ejpam-1847	424	25	generated	generate	VERB
ejpam-1847	424	26	models	model	NOUN
ejpam-1847	424	27	have	have	AUX
ejpam-1847	424	28	reached	reach	VERB
ejpam-1847	424	29	the	the	DET
ejpam-1847	424	30	equilibrium	equilibrium	NOUN
ejpam-1847	424	31	,	,	PUNCT
ejpam-1847	424	32	or	or	CCONJ
ejpam-1847	424	33	in	in	ADP
ejpam-1847	424	34	other	other	ADJ
ejpam-1847	424	35	words	word	NOUN
ejpam-1847	424	36	,	,	PUNCT
ejpam-1847	424	37	whether	whether	SCONJ
ejpam-1847	424	38	the	the	DET
ejpam-1847	424	39	effect	effect	NOUN
ejpam-1847	424	40	of	of	ADP
ejpam-1847	424	41	starting	start	VERB
ejpam-1847	424	42	value	value	NOUN
ejpam-1847	424	43	on	on	ADP
ejpam-1847	424	44	model	model	NOUN
ejpam-1847	424	45	generation	generation	NOUN
ejpam-1847	424	46	has	have	AUX
ejpam-1847	424	47	diminished	diminish	VERB
ejpam-1847	424	48	.	.	PUNCT
ejpam-1847	425	1	we	we	PRON
ejpam-1847	425	2	divide	divide	VERB
ejpam-1847	425	3	the	the	DET
ejpam-1847	425	4	range	range	NOUN
ejpam-1847	425	5	of	of	ADP
ejpam-1847	425	6	bic	bic	PROPN
ejpam-1847	425	7	values	value	NOUN
ejpam-1847	425	8	into	into	ADP
ejpam-1847	425	9	r	r	NOUN
ejpam-1847	425	10	=	=	SYM
ejpam-1847	425	11	8	8	NUM
ejpam-1847	425	12	sub	sub	NOUN
ejpam-1847	425	13	-	-	NOUN
ejpam-1847	425	14	intervals	interval	NOUN
ejpam-1847	425	15	;	;	PUNCT
ejpam-1847	425	16	then	then	ADV
ejpam-1847	425	17	cut	cut	VERB
ejpam-1847	425	18	the	the	DET
ejpam-1847	425	19	chain	chain	NOUN
ejpam-1847	425	20	of	of	ADP
ejpam-1847	425	21	bic	bic	PROPN
ejpam-1847	425	22	values	value	NOUN
ejpam-1847	425	23	into	into	ADP
ejpam-1847	425	24	q	q	NOUN
ejpam-1847	425	25	=	=	NUM
ejpam-1847	425	26	10	10	NUM
ejpam-1847	425	27	subsequent	subsequent	ADJ
ejpam-1847	425	28	sub	sub	NOUN
ejpam-1847	425	29	-	-	NOUN
ejpam-1847	425	30	chains	chain	NOUN
ejpam-1847	425	31	each	each	PRON
ejpam-1847	425	32	of	of	ADP
ejpam-1847	425	33	size	size	NOUN
ejpam-1847	425	34	270	270	NUM
ejpam-1847	425	35	.	.	PUNCT
ejpam-1847	426	1	from	from	ADP
ejpam-1847	426	2	this	this	DET
ejpam-1847	426	3	x.zhao	x.zhao	PROPN
ejpam-1847	426	4	,	,	PUNCT
ejpam-1847	426	5	g.	g.	PROPN
ejpam-1847	426	6	qian	qian	PROPN
ejpam-1847	426	7	/	/	SYM
ejpam-1847	426	8	eur	eur	PROPN
ejpam-1847	426	9	.	.	PUNCT
ejpam-1847	427	1	j.	j.	PROPN
ejpam-1847	427	2	pure	pure	PROPN
ejpam-1847	427	3	appl	appl	PROPN
ejpam-1847	427	4	.	.	PROPN
ejpam-1847	427	5	math	math	PROPN
ejpam-1847	427	6	,	,	PUNCT
ejpam-1847	427	7	7	7	NUM
ejpam-1847	427	8	(	(	PUNCT
ejpam-1847	427	9	2014	2014	NUM
ejpam-1847	427	10	)	)	PUNCT
ejpam-1847	427	11	,	,	PUNCT
ejpam-1847	427	12	1	1	NUM
ejpam-1847	427	13	-	-	SYM
ejpam-1847	427	14	21	21	NUM
ejpam-1847	427	15	15	15	NUM
ejpam-1847	427	16	we	we	PRON
ejpam-1847	427	17	obtained	obtain	VERB
ejpam-1847	427	18	a	a	DET
ejpam-1847	427	19	10×	10×	NUM
ejpam-1847	427	20	8	8	NUM
ejpam-1847	427	21	contingency	contingency	NOUN
ejpam-1847	427	22	table	table	NOUN
ejpam-1847	427	23	.	.	PUNCT
ejpam-1847	428	1	pearson	pearson	PROPN
ejpam-1847	428	2	’s	’s	PART
ejpam-1847	428	3	χ2	χ2	PROPN
ejpam-1847	428	4	test	test	NOUN
ejpam-1847	428	5	gives	give	VERB
ejpam-1847	428	6	a	a	DET
ejpam-1847	428	7	p	p	ADJ
ejpam-1847	428	8	-	-	PUNCT
ejpam-1847	428	9	value	value	NOUN
ejpam-1847	428	10	greater	great	ADJ
ejpam-1847	428	11	than	than	ADP
ejpam-1847	428	12	0.5	0.5	NUM
ejpam-1847	428	13	.	.	PUNCT
ejpam-1847	429	1	therefore	therefore	ADV
ejpam-1847	429	2	the	the	DET
ejpam-1847	429	3	null	null	ADJ
ejpam-1847	429	4	hypothesis	hypothesis	NOUN
ejpam-1847	429	5	of	of	ADP
ejpam-1847	429	6	the	the	DET
ejpam-1847	429	7	independence	independence	NOUN
ejpam-1847	429	8	of	of	ADP
ejpam-1847	429	9	row	row	NOUN
ejpam-1847	429	10	and	and	CCONJ
ejpam-1847	429	11	column	column	NOUN
ejpam-1847	429	12	factors	factor	NOUN
ejpam-1847	429	13	can	can	AUX
ejpam-1847	429	14	not	not	PART
ejpam-1847	429	15	be	be	AUX
ejpam-1847	429	16	rejected	reject	VERB
ejpam-1847	429	17	.	.	PUNCT
ejpam-1847	430	1	this	this	PRON
ejpam-1847	430	2	means	mean	VERB
ejpam-1847	430	3	there	there	PRON
ejpam-1847	430	4	is	be	VERB
ejpam-1847	430	5	no	no	DET
ejpam-1847	430	6	significant	significant	ADJ
ejpam-1847	430	7	evidence	evidence	NOUN
ejpam-1847	430	8	of	of	ADP
ejpam-1847	430	9	the	the	DET
ejpam-1847	430	10	association	association	NOUN
ejpam-1847	430	11	;	;	PUNCT
ejpam-1847	430	12	in	in	ADP
ejpam-1847	430	13	another	another	DET
ejpam-1847	430	14	words	word	NOUN
ejpam-1847	430	15	,	,	PUNCT
ejpam-1847	430	16	the	the	DET
ejpam-1847	430	17	generated	generate	VERB
ejpam-1847	430	18	vmsc	vmsc	NOUN
ejpam-1847	430	19	series	series	NOUN
ejpam-1847	430	20	has	have	AUX
ejpam-1847	430	21	reached	reach	VERB
ejpam-1847	430	22	its	its	PRON
ejpam-1847	430	23	equilibrium	equilibrium	NOUN
ejpam-1847	430	24	.	.	PUNCT
ejpam-1847	431	1	we	we	PRON
ejpam-1847	431	2	continue	continue	VERB
ejpam-1847	431	3	and	and	CCONJ
ejpam-1847	431	4	have	have	AUX
ejpam-1847	431	5	totally	totally	ADV
ejpam-1847	431	6	generated	generate	VERB
ejpam-1847	431	7	300	300	NUM
ejpam-1847	431	8	×	×	NOUN
ejpam-1847	431	9	27	27	NUM
ejpam-1847	431	10	=	=	SYM
ejpam-1847	431	11	8100	8100	NUM
ejpam-1847	431	12	models	model	NOUN
ejpam-1847	431	13	including	include	VERB
ejpam-1847	431	14	the	the	DET
ejpam-1847	431	15	initial	initial	ADJ
ejpam-1847	431	16	sample	sample	NOUN
ejpam-1847	431	17	(	(	PUNCT
ejpam-1847	431	18	not	not	PART
ejpam-1847	431	19	including	include	VERB
ejpam-1847	431	20	the	the	DET
ejpam-1847	431	21	ignored	ignore	VERB
ejpam-1847	431	22	5	5	NUM
ejpam-1847	431	23	×	×	NOUN
ejpam-1847	431	24	27	27	NUM
ejpam-1847	431	25	=	=	SYM
ejpam-1847	431	26	135	135	NUM
ejpam-1847	431	27	models	model	NOUN
ejpam-1847	431	28	)	)	PUNCT
ejpam-1847	431	29	.	.	PUNCT
ejpam-1847	432	1	denote	denote	VERB
ejpam-1847	432	2	the	the	DET
ejpam-1847	432	3	generated	generate	VERB
ejpam-1847	432	4	models	model	NOUN
ejpam-1847	432	5	as	as	ADP
ejpam-1847	432	6	m1	m1	PROPN
ejpam-1847	432	7	,	,	PUNCT
ejpam-1847	432	8	.	.	PUNCT
ejpam-1847	432	9	.	.	PUNCT
ejpam-1847	433	1	.	.	PUNCT
ejpam-1847	434	1	,	,	PUNCT
ejpam-1847	434	2	m8100	m8100	NOUN
ejpam-1847	434	3	for	for	ADP
ejpam-1847	434	4	convenience	convenience	NOUN
ejpam-1847	434	5	of	of	ADP
ejpam-1847	434	6	presentation	presentation	NOUN
ejpam-1847	434	7	.	.	PUNCT
ejpam-1847	435	1	we	we	PRON
ejpam-1847	435	2	find	find	VERB
ejpam-1847	435	3	there	there	PRON
ejpam-1847	435	4	are	be	VERB
ejpam-1847	435	5	1189	1189	NUM
ejpam-1847	435	6	different	different	ADJ
ejpam-1847	435	7	models	model	NOUN
ejpam-1847	435	8	among	among	ADP
ejpam-1847	435	9	m1	m1	PROPN
ejpam-1847	435	10	to	to	ADP
ejpam-1847	435	11	m8100	m8100	PROPN
ejpam-1847	435	12	.	.	PUNCT
ejpam-1847	436	1	we	we	PRON
ejpam-1847	436	2	list	list	VERB
ejpam-1847	436	3	in	in	ADP
ejpam-1847	436	4	table	table	NOUN
ejpam-1847	436	5	2	2	NUM
ejpam-1847	436	6	the	the	DET
ejpam-1847	436	7	sample	sample	NOUN
ejpam-1847	436	8	marginal	marginal	ADJ
ejpam-1847	436	9	probabilities	probability	NOUN
ejpam-1847	436	10	of	of	ADP
ejpam-1847	436	11	every	every	DET
ejpam-1847	436	12	component	component	NOUN
ejpam-1847	436	13	of	of	ADP
ejpam-1847	436	14	v	v	NOUN
ejpam-1847	436	15	in	in	ADP
ejpam-1847	436	16	between	between	ADP
ejpam-1847	436	17	m1	m1	PROPN
ejpam-1847	436	18	and	and	CCONJ
ejpam-1847	436	19	m2700	m2700	PROPN
ejpam-1847	436	20	,	,	PUNCT
ejpam-1847	436	21	in	in	ADP
ejpam-1847	436	22	between	between	ADP
ejpam-1847	436	23	m1	m1	PROPN
ejpam-1847	436	24	and	and	CCONJ
ejpam-1847	436	25	m5400	m5400	PROPN
ejpam-1847	436	26	and	and	CCONJ
ejpam-1847	436	27	in	in	ADP
ejpam-1847	436	28	between	between	ADP
ejpam-1847	436	29	m1	m1	PROPN
ejpam-1847	436	30	and	and	CCONJ
ejpam-1847	436	31	m8100	m8100	PROPN
ejpam-1847	436	32	respectively	respectively	ADV
ejpam-1847	436	33	.	.	PUNCT
ejpam-1847	437	1	we	we	PRON
ejpam-1847	437	2	can	can	AUX
ejpam-1847	437	3	see	see	VERB
ejpam-1847	437	4	in	in	ADP
ejpam-1847	437	5	any	any	PRON
ejpam-1847	437	6	of	of	ADP
ejpam-1847	437	7	the	the	DET
ejpam-1847	437	8	three	three	NUM
ejpam-1847	437	9	classes	class	NOUN
ejpam-1847	437	10	the	the	DET
ejpam-1847	437	11	sample	sample	NOUN
ejpam-1847	437	12	marginal	marginal	ADJ
ejpam-1847	437	13	probabilities	probability	NOUN
ejpam-1847	437	14	corresponding	correspond	VERB
ejpam-1847	437	15	to	to	ADP
ejpam-1847	437	16	the	the	DET
ejpam-1847	437	17	non	non	ADJ
ejpam-1847	437	18	-	-	ADJ
ejpam-1847	437	19	zero	zero	NUM
ejpam-1847	437	20	components	component	NOUN
ejpam-1847	437	21	of	of	ADP
ejpam-1847	437	22	vo	vo	NOUN
ejpam-1847	437	23	,	,	PUNCT
ejpam-1847	437	24	which	which	PRON
ejpam-1847	437	25	are	be	AUX
ejpam-1847	437	26	(	(	PUNCT
ejpam-1847	437	27	v1,11	v1,11	NOUN
ejpam-1847	437	28	,	,	PUNCT
ejpam-1847	437	29	v1,12	v1,12	NOUN
ejpam-1847	437	30	,	,	PUNCT
ejpam-1847	437	31	v1,22	v1,22	NUM
ejpam-1847	437	32	,	,	PUNCT
ejpam-1847	437	33	v1,33	v1,33	ADP
ejpam-1847	437	34	,	,	PUNCT
ejpam-1847	437	35	v2,11	v2,11	NOUN
ejpam-1847	437	36	,	,	PUNCT
ejpam-1847	437	37	v2,22	v2,22	ADV
ejpam-1847	437	38	,	,	PUNCT
ejpam-1847	437	39	v2,23	v2,23	NOUN
ejpam-1847	437	40	,	,	PUNCT
ejpam-1847	437	41	v2,33	v2,33	NOUN
ejpam-1847	437	42	,	,	PUNCT
ejpam-1847	437	43	v3,11	v3,11	NOUN
ejpam-1847	437	44	,	,	PUNCT
ejpam-1847	437	45	v3,22	v3,22	NUM
ejpam-1847	437	46	)	)	PUNCT
ejpam-1847	437	47	,	,	PUNCT
ejpam-1847	437	48	are	be	AUX
ejpam-1847	437	49	all	all	ADV
ejpam-1847	437	50	greater	great	ADJ
ejpam-1847	437	51	than	than	ADP
ejpam-1847	437	52	0.5	0.5	NUM
ejpam-1847	437	53	and	and	CCONJ
ejpam-1847	437	54	even	even	ADV
ejpam-1847	437	55	greater	great	ADJ
ejpam-1847	437	56	than	than	ADP
ejpam-1847	437	57	0.95	0.95	NUM
ejpam-1847	437	58	,	,	PUNCT
ejpam-1847	437	59	and	and	CCONJ
ejpam-1847	437	60	those	those	PRON
ejpam-1847	437	61	corresponding	correspond	VERB
ejpam-1847	437	62	to	to	ADP
ejpam-1847	437	63	the	the	DET
ejpam-1847	437	64	zero	zero	NUM
ejpam-1847	437	65	components	component	NOUN
ejpam-1847	437	66	of	of	ADP
ejpam-1847	437	67	vo	vo	X
ejpam-1847	437	68	are	be	AUX
ejpam-1847	437	69	all	all	ADV
ejpam-1847	437	70	less	less	ADJ
ejpam-1847	437	71	than	than	ADP
ejpam-1847	437	72	0.5	0.5	NUM
ejpam-1847	437	73	.	.	PUNCT
ejpam-1847	438	1	moreover	moreover	ADV
ejpam-1847	438	2	there	there	PRON
ejpam-1847	438	3	is	be	VERB
ejpam-1847	438	4	no	no	DET
ejpam-1847	438	5	obvious	obvious	ADJ
ejpam-1847	438	6	difference	difference	NOUN
ejpam-1847	438	7	among	among	ADP
ejpam-1847	438	8	the	the	DET
ejpam-1847	438	9	marginal	marginal	ADJ
ejpam-1847	438	10	probabilities	probability	NOUN
ejpam-1847	438	11	in	in	ADP
ejpam-1847	438	12	the	the	DET
ejpam-1847	438	13	three	three	NUM
ejpam-1847	438	14	classes	class	NOUN
ejpam-1847	438	15	.	.	PUNCT
ejpam-1847	439	1	therefore	therefore	ADV
ejpam-1847	439	2	,	,	PUNCT
ejpam-1847	439	3	based	base	VERB
ejpam-1847	439	4	on	on	ADP
ejpam-1847	439	5	the	the	DET
ejpam-1847	439	6	sample	sample	NOUN
ejpam-1847	439	7	marginal	marginal	ADJ
ejpam-1847	439	8	probabilities	probability	NOUN
ejpam-1847	439	9	of	of	ADP
ejpam-1847	439	10	each	each	DET
ejpam-1847	439	11	component	component	NOUN
ejpam-1847	439	12	of	of	ADP
ejpam-1847	439	13	v	v	NUM
ejpam-1847	439	14	,	,	PUNCT
ejpam-1847	439	15	the	the	DET
ejpam-1847	439	16	true	true	ADJ
ejpam-1847	439	17	model	model	NOUN
ejpam-1847	439	18	vo	vo	X
ejpam-1847	439	19	is	be	AUX
ejpam-1847	439	20	selected	select	VERB
ejpam-1847	439	21	as	as	ADP
ejpam-1847	439	22	the	the	DET
ejpam-1847	439	23	best	good	ADJ
ejpam-1847	439	24	model	model	NOUN
ejpam-1847	439	25	.	.	PUNCT
ejpam-1847	440	1	the	the	DET
ejpam-1847	440	2	simulation	simulation	NOUN
ejpam-1847	440	3	study	study	NOUN
ejpam-1847	440	4	shows	show	VERB
ejpam-1847	440	5	that	that	SCONJ
ejpam-1847	440	6	it	it	PRON
ejpam-1847	440	7	is	be	AUX
ejpam-1847	440	8	sufficient	sufficient	ADJ
ejpam-1847	440	9	to	to	PART
ejpam-1847	440	10	estimate	estimate	VERB
ejpam-1847	440	11	27×	27×	NUM
ejpam-1847	440	12	2×	2×	NUM
ejpam-1847	440	13	100	100	NUM
ejpam-1847	440	14	=	=	SYM
ejpam-1847	440	15	5400	5400	NUM
ejpam-1847	440	16	models	model	NOUN
ejpam-1847	440	17	to	to	PART
ejpam-1847	440	18	identify	identify	VERB
ejpam-1847	440	19	the	the	DET
ejpam-1847	440	20	best	good	ADJ
ejpam-1847	440	21	model	model	NOUN
ejpam-1847	440	22	from	from	ADP
ejpam-1847	440	23	the	the	DET
ejpam-1847	440	24	227	227	NUM
ejpam-1847	440	25	candidate	candidate	NOUN
ejpam-1847	440	26	models	model	NOUN
ejpam-1847	440	27	.	.	PUNCT
ejpam-1847	441	1	table	table	NOUN
ejpam-1847	441	2	2	2	NUM
ejpam-1847	441	3	:	:	PUNCT
ejpam-1847	441	4	sample	sample	VERB
ejpam-1847	441	5	marginal	marginal	ADJ
ejpam-1847	441	6	probabilities	probability	NOUN
ejpam-1847	441	7	of	of	ADP
ejpam-1847	441	8	v	v	NOUN
ejpam-1847	441	9	in	in	ADP
ejpam-1847	441	10	example	example	NOUN
ejpam-1847	441	11	1	1	NUM
ejpam-1847	441	12	among	among	ADP
ejpam-1847	441	13	m1	m1	NOUN
ejpam-1847	441	14	to	to	ADP
ejpam-1847	441	15	m2700	m2700	PROPN
ejpam-1847	441	16	(	(	PUNCT
ejpam-1847	441	17	mar.prob1	mar.prob1	NOUN
ejpam-1847	441	18	)	)	PUNCT
ejpam-1847	441	19	,	,	PUNCT
ejpam-1847	441	20	m1	m1	PROPN
ejpam-1847	441	21	to	to	ADP
ejpam-1847	441	22	m5400	m5400	PROPN
ejpam-1847	441	23	(	(	PUNCT
ejpam-1847	441	24	mar.prob2	mar.prob2	PROPN
ejpam-1847	441	25	)	)	PUNCT
ejpam-1847	441	26	and	and	CCONJ
ejpam-1847	441	27	m1	m1	PROPN
ejpam-1847	441	28	to	to	PART
ejpam-1847	441	29	m8100(mar.prob3	m8100(mar.prob3	VERB
ejpam-1847	441	30	)	)	PUNCT
ejpam-1847	441	31	.	.	PUNCT
ejpam-1847	442	1	mar.prob1	mar.prob1	NOUN
ejpam-1847	442	2	(	(	PUNCT
ejpam-1847	442	3	v	v	NOUN
ejpam-1847	442	4	)	)	PUNCT
ejpam-1847	442	5	1	1	NUM
ejpam-1847	442	6	,	,	PUNCT
ejpam-1847	442	7	jk	jk	PROPN
ejpam-1847	442	8	(	(	PUNCT
ejpam-1847	442	9	v	v	NOUN
ejpam-1847	442	10	)	)	PUNCT
ejpam-1847	442	11	2	2	NUM
ejpam-1847	442	12	,	,	PUNCT
ejpam-1847	442	13	jk	jk	PROPN
ejpam-1847	442	14	(	(	PUNCT
ejpam-1847	442	15	v	v	NOUN
ejpam-1847	442	16	)	)	PUNCT
ejpam-1847	442	17	3	3	NUM
ejpam-1847	442	18	,	,	PUNCT
ejpam-1847	442	19	jk	jk	PROPN
ejpam-1847	442	20	k	k	PROPN
ejpam-1847	442	21	=	=	PUNCT
ejpam-1847	443	1	1	1	NUM
ejpam-1847	443	2	k	k	NOUN
ejpam-1847	443	3	=	=	SYM
ejpam-1847	443	4	2	2	NUM
ejpam-1847	443	5	k	k	NOUN
ejpam-1847	443	6	=	=	SYM
ejpam-1847	443	7	3	3	NUM
ejpam-1847	443	8	k	k	NOUN
ejpam-1847	443	9	=	=	SYM
ejpam-1847	443	10	1	1	NUM
ejpam-1847	443	11	k	k	NOUN
ejpam-1847	443	12	=	=	SYM
ejpam-1847	443	13	2	2	NUM
ejpam-1847	443	14	k	k	NOUN
ejpam-1847	443	15	=	=	SYM
ejpam-1847	443	16	3	3	NUM
ejpam-1847	443	17	k	k	NOUN
ejpam-1847	443	18	=	=	SYM
ejpam-1847	443	19	1	1	NUM
ejpam-1847	443	20	k	k	NOUN
ejpam-1847	443	21	=	=	SYM
ejpam-1847	443	22	2	2	NUM
ejpam-1847	443	23	k	k	NOUN
ejpam-1847	443	24	=	=	SYM
ejpam-1847	443	25	3	3	NUM
ejpam-1847	443	26	j	j	NOUN
ejpam-1847	443	27	=	=	SYM
ejpam-1847	443	28	1	1	NUM
ejpam-1847	443	29	1.000	1.000	NUM
ejpam-1847	443	30	1.000	1.000	NUM
ejpam-1847	443	31	0.231	0.231	NUM
ejpam-1847	443	32	1.000	1.000	NUM
ejpam-1847	443	33	0.170	0.170	NUM
ejpam-1847	443	34	0.200	0.200	NUM
ejpam-1847	443	35	1.000	1.000	NUM
ejpam-1847	443	36	0.350	0.350	NUM
ejpam-1847	443	37	0.250	0.250	NUM
ejpam-1847	443	38	j	j	NOUN
ejpam-1847	443	39	=	=	SYM
ejpam-1847	443	40	2	2	NUM
ejpam-1847	443	41	0.130	0.130	NUM
ejpam-1847	443	42	1.000	1.000	NUM
ejpam-1847	443	43	0.206	0.206	NUM
ejpam-1847	443	44	0.170	0.170	NUM
ejpam-1847	443	45	1.000	1.000	NUM
ejpam-1847	443	46	0.970	0.970	NUM
ejpam-1847	443	47	0.194	0.194	NUM
ejpam-1847	443	48	1.000	1.000	NUM
ejpam-1847	443	49	0.264	0.264	NUM
ejpam-1847	443	50	j	j	NOUN
ejpam-1847	443	51	=	=	PUNCT
ejpam-1847	444	1	3	3	NUM
ejpam-1847	444	2	0.220	0.220	NUM
ejpam-1847	444	3	0.143	0.143	NUM
ejpam-1847	444	4	1.000	1.000	NUM
ejpam-1847	444	5	0.150	0.150	NUM
ejpam-1847	444	6	0.190	0.190	NUM
ejpam-1847	444	7	1.000	1.000	NUM
ejpam-1847	444	8	0.150	0.150	NUM
ejpam-1847	444	9	0.159	0.159	NUM
ejpam-1847	444	10	0.140	0.140	NUM
ejpam-1847	444	11	mar.prob2	mar.prob2	PROPN
ejpam-1847	444	12	(	(	PUNCT
ejpam-1847	444	13	v	v	NOUN
ejpam-1847	444	14	)	)	PUNCT
ejpam-1847	444	15	1	1	NUM
ejpam-1847	444	16	,	,	PUNCT
ejpam-1847	444	17	jk	jk	PROPN
ejpam-1847	444	18	(	(	PUNCT
ejpam-1847	444	19	v	v	NOUN
ejpam-1847	444	20	)	)	PUNCT
ejpam-1847	444	21	2	2	NUM
ejpam-1847	444	22	,	,	PUNCT
ejpam-1847	444	23	jk	jk	PROPN
ejpam-1847	444	24	(	(	PUNCT
ejpam-1847	444	25	v	v	NOUN
ejpam-1847	444	26	)	)	PUNCT
ejpam-1847	444	27	3	3	NUM
ejpam-1847	444	28	,	,	PUNCT
ejpam-1847	444	29	jk	jk	PROPN
ejpam-1847	444	30	k	k	PROPN
ejpam-1847	445	1	=	=	PUNCT
ejpam-1847	445	2	1	1	NUM
ejpam-1847	445	3	k	k	NOUN
ejpam-1847	445	4	=	=	SYM
ejpam-1847	445	5	2	2	NUM
ejpam-1847	445	6	k	k	NOUN
ejpam-1847	445	7	=	=	SYM
ejpam-1847	445	8	3	3	NUM
ejpam-1847	445	9	k	k	NOUN
ejpam-1847	445	10	=	=	SYM
ejpam-1847	445	11	1	1	NUM
ejpam-1847	445	12	k	k	NOUN
ejpam-1847	445	13	=	=	SYM
ejpam-1847	445	14	2	2	NUM
ejpam-1847	445	15	k	k	NOUN
ejpam-1847	445	16	=	=	SYM
ejpam-1847	445	17	3	3	NUM
ejpam-1847	445	18	k	k	NOUN
ejpam-1847	445	19	=	=	SYM
ejpam-1847	445	20	1	1	NUM
ejpam-1847	445	21	k	k	NOUN
ejpam-1847	445	22	=	=	SYM
ejpam-1847	445	23	2	2	NUM
ejpam-1847	445	24	k	k	NOUN
ejpam-1847	445	25	=	=	SYM
ejpam-1847	445	26	3	3	NUM
ejpam-1847	445	27	j	j	NOUN
ejpam-1847	445	28	=	=	SYM
ejpam-1847	445	29	1	1	NUM
ejpam-1847	445	30	1.000	1.000	NUM
ejpam-1847	445	31	1.000	1.000	NUM
ejpam-1847	445	32	0.200	0.200	NUM
ejpam-1847	445	33	1.000	1.000	NUM
ejpam-1847	445	34	0.169	0.169	NUM
ejpam-1847	445	35	0.190	0.190	NUM
ejpam-1847	445	36	1.000	1.000	NUM
ejpam-1847	445	37	0.351	0.351	NUM
ejpam-1847	445	38	0.215	0.215	NUM
ejpam-1847	445	39	j	j	NOUN
ejpam-1847	445	40	=	=	SYM
ejpam-1847	445	41	2	2	NUM
ejpam-1847	445	42	0.160	0.160	NUM
ejpam-1847	445	43	1.000	1.000	NUM
ejpam-1847	445	44	0.190	0.190	NUM
ejpam-1847	445	45	0.195	0.195	NUM
ejpam-1847	445	46	1.000	1.000	NUM
ejpam-1847	445	47	0.980	0.980	NUM
ejpam-1847	445	48	0.190	0.190	NUM
ejpam-1847	445	49	1.000	1.000	NUM
ejpam-1847	445	50	0.240	0.240	NUM
ejpam-1847	445	51	j	j	NOUN
ejpam-1847	445	52	=	=	PUNCT
ejpam-1847	446	1	3	3	NUM
ejpam-1847	446	2	0.165	0.165	NUM
ejpam-1847	446	3	0.161	0.161	NUM
ejpam-1847	446	4	1.000	1.000	NUM
ejpam-1847	446	5	0.191	0.191	NUM
ejpam-1847	446	6	0.181	0.181	NUM
ejpam-1847	446	7	1.000	1.000	NUM
ejpam-1847	446	8	0.155	0.155	NUM
ejpam-1847	446	9	0.169	0.169	NUM
ejpam-1847	446	10	0.190	0.190	NUM
ejpam-1847	446	11	mar.prob3	mar.prob3	PROPN
ejpam-1847	446	12	(	(	PUNCT
ejpam-1847	446	13	v	v	NOUN
ejpam-1847	446	14	)	)	PUNCT
ejpam-1847	446	15	1	1	NUM
ejpam-1847	446	16	,	,	PUNCT
ejpam-1847	446	17	jk	jk	PROPN
ejpam-1847	446	18	(	(	PUNCT
ejpam-1847	446	19	v	v	NOUN
ejpam-1847	446	20	)	)	PUNCT
ejpam-1847	446	21	2	2	NUM
ejpam-1847	446	22	,	,	PUNCT
ejpam-1847	446	23	jk	jk	PROPN
ejpam-1847	446	24	(	(	PUNCT
ejpam-1847	446	25	v	v	NOUN
ejpam-1847	446	26	)	)	PUNCT
ejpam-1847	446	27	3	3	NUM
ejpam-1847	446	28	,	,	PUNCT
ejpam-1847	446	29	jk	jk	PROPN
ejpam-1847	446	30	k	k	PROPN
ejpam-1847	446	31	=	=	PUNCT
ejpam-1847	446	32	1	1	NUM
ejpam-1847	446	33	k	k	NOUN
ejpam-1847	446	34	=	=	SYM
ejpam-1847	446	35	2	2	NUM
ejpam-1847	446	36	k	k	NOUN
ejpam-1847	446	37	=	=	SYM
ejpam-1847	446	38	3	3	NUM
ejpam-1847	446	39	k	k	NOUN
ejpam-1847	446	40	=	=	SYM
ejpam-1847	446	41	1	1	NUM
ejpam-1847	446	42	k	k	NOUN
ejpam-1847	446	43	=	=	SYM
ejpam-1847	446	44	2	2	NUM
ejpam-1847	446	45	k	k	NOUN
ejpam-1847	446	46	=	=	SYM
ejpam-1847	446	47	3	3	NUM
ejpam-1847	446	48	k	k	NOUN
ejpam-1847	446	49	=	=	SYM
ejpam-1847	446	50	1	1	NUM
ejpam-1847	446	51	k	k	NOUN
ejpam-1847	446	52	=	=	SYM
ejpam-1847	446	53	2	2	NUM
ejpam-1847	446	54	k	k	NOUN
ejpam-1847	446	55	=	=	SYM
ejpam-1847	446	56	3	3	NUM
ejpam-1847	446	57	j	j	NOUN
ejpam-1847	446	58	=	=	SYM
ejpam-1847	446	59	1	1	NUM
ejpam-1847	446	60	1.000	1.000	NUM
ejpam-1847	446	61	1.000	1.000	NUM
ejpam-1847	446	62	0.210	0.210	NUM
ejpam-1847	446	63	1.000	1.000	NUM
ejpam-1847	446	64	0.187	0.187	NUM
ejpam-1847	446	65	0.193	0.193	NUM
ejpam-1847	446	66	1.000	1.000	NUM
ejpam-1847	446	67	0.341	0.341	NUM
ejpam-1847	446	68	0.200	0.200	NUM
ejpam-1847	446	69	j	j	NOUN
ejpam-1847	446	70	=	=	SYM
ejpam-1847	446	71	2	2	NUM
ejpam-1847	446	72	0.160	0.160	NUM
ejpam-1847	446	73	1.000	1.000	NUM
ejpam-1847	446	74	0.202	0.202	NUM
ejpam-1847	446	75	0.210	0.210	NUM
ejpam-1847	446	76	1.000	1.000	NUM
ejpam-1847	446	77	0.983	0.983	NUM
ejpam-1847	446	78	0.199	0.199	NUM
ejpam-1847	446	79	1.000	1.000	NUM
ejpam-1847	446	80	0.243	0.243	NUM
ejpam-1847	446	81	j	j	NOUN
ejpam-1847	446	82	=	=	PUNCT
ejpam-1847	446	83	3	3	NUM
ejpam-1847	446	84	0.143	0.143	NUM
ejpam-1847	446	85	0.157	0.157	NUM
ejpam-1847	446	86	1.000	1.000	NUM
ejpam-1847	446	87	0.210	0.210	NUM
ejpam-1847	446	88	0.164	0.164	NUM
ejpam-1847	446	89	1.000	1.000	NUM
ejpam-1847	446	90	0.163	0.163	NUM
ejpam-1847	446	91	0.186	0.186	NUM
ejpam-1847	446	92	0.183	0.183	NUM
ejpam-1847	446	93	in	in	ADP
ejpam-1847	446	94	this	this	DET
ejpam-1847	446	95	example	example	NOUN
ejpam-1847	446	96	it	it	PRON
ejpam-1847	446	97	would	would	AUX
ejpam-1847	446	98	take	take	VERB
ejpam-1847	446	99	too	too	ADV
ejpam-1847	446	100	long	long	ADJ
ejpam-1847	446	101	computing	computing	NOUN
ejpam-1847	446	102	time	time	NOUN
ejpam-1847	446	103	to	to	PART
ejpam-1847	446	104	calculate	calculate	VERB
ejpam-1847	446	105	the	the	DET
ejpam-1847	446	106	bic	bic	PROPN
ejpam-1847	446	107	values	value	NOUN
ejpam-1847	446	108	of	of	ADP
ejpam-1847	446	109	all	all	DET
ejpam-1847	446	110	the	the	DET
ejpam-1847	446	111	x.zhao	x.zhao	PROPN
ejpam-1847	446	112	,	,	PUNCT
ejpam-1847	446	113	g.	g.	PROPN
ejpam-1847	446	114	qian	qian	PROPN
ejpam-1847	446	115	/	/	SYM
ejpam-1847	446	116	eur	eur	PROPN
ejpam-1847	446	117	.	.	PUNCT
ejpam-1847	447	1	j.	j.	PROPN
ejpam-1847	447	2	pure	pure	PROPN
ejpam-1847	447	3	appl	appl	PROPN
ejpam-1847	447	4	.	.	PROPN
ejpam-1847	447	5	math	math	PROPN
ejpam-1847	447	6	,	,	PUNCT
ejpam-1847	447	7	7	7	NUM
ejpam-1847	447	8	(	(	PUNCT
ejpam-1847	447	9	2014	2014	NUM
ejpam-1847	447	10	)	)	PUNCT
ejpam-1847	447	11	,	,	PUNCT
ejpam-1847	447	12	1	1	NUM
ejpam-1847	447	13	-	-	SYM
ejpam-1847	447	14	21	21	NUM
ejpam-1847	447	15	16	16	NUM
ejpam-1847	447	16	227	227	NUM
ejpam-1847	447	17	candidate	candidate	NOUN
ejpam-1847	447	18	models	model	NOUN
ejpam-1847	447	19	to	to	PART
ejpam-1847	447	20	confirm	confirm	VERB
ejpam-1847	447	21	our	our	PRON
ejpam-1847	447	22	method	method	NOUN
ejpam-1847	447	23	’s	’s	PART
ejpam-1847	447	24	effectiveness	effectiveness	NOUN
ejpam-1847	447	25	,	,	PUNCT
ejpam-1847	447	26	but	but	CCONJ
ejpam-1847	447	27	the	the	DET
ejpam-1847	447	28	result	result	NOUN
ejpam-1847	447	29	that	that	SCONJ
ejpam-1847	447	30	the	the	DET
ejpam-1847	447	31	selected	select	VERB
ejpam-1847	447	32	model	model	NOUN
ejpam-1847	447	33	is	be	AUX
ejpam-1847	447	34	exactly	exactly	ADV
ejpam-1847	447	35	the	the	DET
ejpam-1847	447	36	same	same	ADJ
ejpam-1847	447	37	as	as	SCONJ
ejpam-1847	447	38	the	the	DET
ejpam-1847	447	39	true	true	ADJ
ejpam-1847	447	40	model	model	NOUN
ejpam-1847	447	41	simulating	simulate	VERB
ejpam-1847	447	42	the	the	DET
ejpam-1847	447	43	observed	observed	ADJ
ejpam-1847	447	44	series	series	NOUN
ejpam-1847	447	45	demonstrates	demonstrate	VERB
ejpam-1847	447	46	the	the	DET
ejpam-1847	447	47	effectiveness	effectiveness	NOUN
ejpam-1847	447	48	and	and	CCONJ
ejpam-1847	447	49	efficiency	efficiency	NOUN
ejpam-1847	447	50	of	of	ADP
ejpam-1847	447	51	this	this	DET
ejpam-1847	447	52	method	method	NOUN
ejpam-1847	447	53	.	.	PUNCT
ejpam-1847	448	1	finally	finally	ADV
ejpam-1847	448	2	,	,	PUNCT
ejpam-1847	448	3	the	the	DET
ejpam-1847	448	4	mle	mle	NOUN
ejpam-1847	448	5	of	of	ADP
ejpam-1847	448	6	the	the	DET
ejpam-1847	448	7	best	good	ADJ
ejpam-1847	448	8	model	model	NOUN
ejpam-1847	448	9	vo	vo	PROPN
ejpam-1847	448	10	is	be	AUX
ejpam-1847	448	11	estimated	estimate	VERB
ejpam-1847	448	12	to	to	PART
ejpam-1847	448	13	be	be	AUX
ejpam-1847	448	14			NOUN
ejpam-1847	448	15			NOUN
ejpam-1847	448	16			NOUN
ejpam-1847	448	17	y1,t	y1,t	PROPN
ejpam-1847	448	18	y2,t	y2,t	PROPN
ejpam-1847	448	19	y3,t	y3,t	PROPN
ejpam-1847	448	20			NOUN
ejpam-1847	448	21			VERB
ejpam-1847	448	22			PUNCT
ejpam-1847	449	1	=	=	PUNCT
ejpam-1847	449	2			PROPN
ejpam-1847	449	3			NOUN
ejpam-1847	449	4			NOUN
ejpam-1847	449	5	0.66	0.66	NUM
ejpam-1847	449	6	0.26	0.26	NUM
ejpam-1847	449	7	0	0	NUM
ejpam-1847	449	8	0	0	NUM
ejpam-1847	449	9	0.80	0.80	NUM
ejpam-1847	449	10	0	0	NUM
ejpam-1847	449	11	0	0	NUM
ejpam-1847	449	12	0	0	NUM
ejpam-1847	449	13	0.29	0.29	NUM
ejpam-1847	449	14			NOUN
ejpam-1847	449	15			NOUN
ejpam-1847	449	16			PUNCT
ejpam-1847	450	1			PROPN
ejpam-1847	450	2			NOUN
ejpam-1847	450	3			PROPN
ejpam-1847	450	4	y1,t−1	y1,t−1	ADJ
ejpam-1847	450	5	y2,t−1	y2,t−1	ADJ
ejpam-1847	450	6	y3,t−1	y3,t−1	PROPN
ejpam-1847	450	7			PROPN
ejpam-1847	450	8			NOUN
ejpam-1847	450	9			PUNCT
ejpam-1847	451	1	+	+	PUNCT
ejpam-1847	451	2			NOUN
ejpam-1847	451	3			NOUN
ejpam-1847	451	4			NOUN
ejpam-1847	451	5	0.50	0.50	NUM
ejpam-1847	451	6	0	0	NUM
ejpam-1847	451	7	0	0	NUM
ejpam-1847	451	8	0	0	NUM
ejpam-1847	451	9	0.55	0.55	NUM
ejpam-1847	451	10	0.24	0.24	NUM
ejpam-1847	451	11	0	0	NUM
ejpam-1847	451	12	0	0	NUM
ejpam-1847	451	13	0.38	0.38	NUM
ejpam-1847	451	14			PROPN
ejpam-1847	451	15			NOUN
ejpam-1847	451	16			PUNCT
ejpam-1847	452	1			PROPN
ejpam-1847	452	2			NOUN
ejpam-1847	452	3			NOUN
ejpam-1847	452	4	y1,t−2	y1,t−2	NOUN
ejpam-1847	452	5	y2,t−2	y2,t−2	NOUN
ejpam-1847	452	6	y3,t−2	y3,t−2	NOUN
ejpam-1847	452	7			NOUN
ejpam-1847	452	8			NOUN
ejpam-1847	452	9			PUNCT
ejpam-1847	453	1	+	+	PUNCT
ejpam-1847	453	2			NOUN
ejpam-1847	453	3			NOUN
ejpam-1847	453	4			NOUN
ejpam-1847	453	5	−0.34	−0.34	NOUN
ejpam-1847	453	6	0	0	NUM
ejpam-1847	453	7	0	0	NUM
ejpam-1847	453	8	0	0	NUM
ejpam-1847	454	1	−0.45	−0.45	NOUN
ejpam-1847	454	2	0	0	NUM
ejpam-1847	454	3	0	0	NUM
ejpam-1847	454	4	0	0	NUM
ejpam-1847	454	5	0	0	NUM
ejpam-1847	454	6			NOUN
ejpam-1847	454	7			NOUN
ejpam-1847	454	8			PUNCT
ejpam-1847	455	1			PROPN
ejpam-1847	455	2			NOUN
ejpam-1847	455	3			NOUN
ejpam-1847	455	4	y1,t−3	y1,t−3	VERB
ejpam-1847	455	5	y2,t−3	y2,t−3	ADJ
ejpam-1847	455	6	y3,t−3	y3,t−3	NOUN
ejpam-1847	455	7			NOUN
ejpam-1847	455	8			NOUN
ejpam-1847	455	9			PUNCT
ejpam-1847	456	1	with	with	ADP
ejpam-1847	456	2	the	the	DET
ejpam-1847	456	3	standard	standard	ADJ
ejpam-1847	456	4	errors	error	NOUN
ejpam-1847	456	5	for	for	ADP
ejpam-1847	456	6	the	the	DET
ejpam-1847	456	7	corresponding	corresponding	ADJ
ejpam-1847	456	8	coefficients	coefficient	NOUN
ejpam-1847	456	9	of	of	ADP
ejpam-1847	456	10	v1,11	v1,11	NOUN
ejpam-1847	456	11	,	,	PUNCT
ejpam-1847	456	12	v1,12	v1,12	NOUN
ejpam-1847	456	13	,	,	PUNCT
ejpam-1847	456	14	v1,22	v1,22	NUM
ejpam-1847	456	15	,	,	PUNCT
ejpam-1847	456	16	v1,33	v1,33	ADP
ejpam-1847	456	17	,	,	PUNCT
ejpam-1847	456	18	v2,11	v2,11	NOUN
ejpam-1847	456	19	,	,	PUNCT
ejpam-1847	456	20	v2,22	v2,22	ADV
ejpam-1847	456	21	,	,	PUNCT
ejpam-1847	456	22	v2,23	v2,23	NOUN
ejpam-1847	456	23	,	,	PUNCT
ejpam-1847	456	24	v2,33	v2,33	NOUN
ejpam-1847	456	25	,	,	PUNCT
ejpam-1847	456	26	v3,11	v3,11	NOUN
ejpam-1847	456	27	,	,	PUNCT
ejpam-1847	456	28	v3,22	v3,22	NOUN
ejpam-1847	456	29	being	be	AUX
ejpam-1847	456	30	0.051	0.051	NUM
ejpam-1847	456	31	,	,	PUNCT
ejpam-1847	456	32	0.027	0.027	NUM
ejpam-1847	456	33	,	,	PUNCT
ejpam-1847	456	34	0.049	0.049	NUM
ejpam-1847	456	35	,	,	PUNCT
ejpam-1847	456	36	0.053	0.053	NUM
ejpam-1847	456	37	,	,	PUNCT
ejpam-1847	456	38	0.058	0.058	NUM
ejpam-1847	456	39	,	,	PUNCT
ejpam-1847	456	40	0.060	0.060	NUM
ejpam-1847	456	41	,	,	PUNCT
ejpam-1847	456	42	0.050	0.050	NUM
ejpam-1847	456	43	,	,	PUNCT
ejpam-1847	456	44	0.055	0.055	NUM
ejpam-1847	456	45	,	,	PUNCT
ejpam-1847	456	46	0.048	0.048	NUM
ejpam-1847	456	47	and	and	CCONJ
ejpam-1847	456	48	0.049	0.049	NUM
ejpam-1847	456	49	.	.	PUNCT
ejpam-1847	456	50	example	example	NOUN
ejpam-1847	457	1	2	2	NUM
ejpam-1847	457	2	:	:	PUNCT
ejpam-1847	457	3	chinese	chinese	ADJ
ejpam-1847	457	4	money	money	NOUN
ejpam-1847	457	5	supply	supply	NOUN
ejpam-1847	457	6	in	in	ADP
ejpam-1847	457	7	this	this	DET
ejpam-1847	457	8	example	example	NOUN
ejpam-1847	457	9	,	,	PUNCT
ejpam-1847	457	10	we	we	PRON
ejpam-1847	457	11	illustrate	illustrate	VERB
ejpam-1847	457	12	the	the	DET
ejpam-1847	457	13	application	application	NOUN
ejpam-1847	457	14	of	of	ADP
ejpam-1847	457	15	the	the	DET
ejpam-1847	457	16	gibbs	gibbs	PROPN
ejpam-1847	457	17	sampler	sampler	NOUN
ejpam-1847	457	18	model	model	NOUN
ejpam-1847	457	19	selection	selection	NOUN
ejpam-1847	457	20	method	method	NOUN
ejpam-1847	457	21	on	on	ADP
ejpam-1847	457	22	the	the	DET
ejpam-1847	457	23	real	real	ADJ
ejpam-1847	457	24	data	datum	NOUN
ejpam-1847	457	25	.	.	PUNCT
ejpam-1847	458	1	we	we	PRON
ejpam-1847	458	2	establish	establish	VERB
ejpam-1847	458	3	a	a	DET
ejpam-1847	458	4	var	var	NOUN
ejpam-1847	458	5	model	model	NOUN
ejpam-1847	458	6	using	use	VERB
ejpam-1847	458	7	two	two	NUM
ejpam-1847	458	8	time	time	NOUN
ejpam-1847	458	9	series	series	NOUN
ejpam-1847	458	10	between	between	ADP
ejpam-1847	458	11	the	the	DET
ejpam-1847	458	12	first	first	ADJ
ejpam-1847	458	13	quarter	quarter	NOUN
ejpam-1847	458	14	of	of	ADP
ejpam-1847	458	15	1993	1993	NUM
ejpam-1847	458	16	and	and	CCONJ
ejpam-1847	458	17	the	the	DET
ejpam-1847	458	18	first	first	ADJ
ejpam-1847	458	19	quarter	quarter	NOUN
ejpam-1847	458	20	of	of	ADP
ejpam-1847	458	21	2007	2007	NUM
ejpam-1847	458	22	.	.	PUNCT
ejpam-1847	459	1	the	the	DET
ejpam-1847	459	2	two	two	NUM
ejpam-1847	459	3	series	series	NOUN
ejpam-1847	459	4	are	be	AUX
ejpam-1847	459	5	the	the	DET
ejpam-1847	459	6	growth	growth	NOUN
ejpam-1847	459	7	rate	rate	NOUN
ejpam-1847	459	8	of	of	ADP
ejpam-1847	459	9	china	china	PROPN
ejpam-1847	459	10	’s	’s	PART
ejpam-1847	459	11	quarterly	quarterly	ADJ
ejpam-1847	459	12	nominal	nominal	ADJ
ejpam-1847	459	13	m2	m2	PROPN
ejpam-1847	459	14	money	money	NOUN
ejpam-1847	459	15	supply	supply	NOUN
ejpam-1847	459	16	and	and	CCONJ
ejpam-1847	459	17	china	china	PROPN
ejpam-1847	459	18	’s	’s	PART
ejpam-1847	459	19	quarterly	quarterly	ADJ
ejpam-1847	459	20	consumer	consumer	NOUN
ejpam-1847	459	21	price	price	NOUN
ejpam-1847	459	22	index	index	NOUN
ejpam-1847	459	23	(	(	PUNCT
ejpam-1847	459	24	cpi	cpi	PROPN
ejpam-1847	459	25	)	)	PUNCT
ejpam-1847	459	26	.	.	PUNCT
ejpam-1847	460	1	the	the	DET
ejpam-1847	460	2	data	datum	NOUN
ejpam-1847	460	3	of	of	ADP
ejpam-1847	460	4	nominal	nominal	ADJ
ejpam-1847	460	5	m2	m2	PROPN
ejpam-1847	460	6	supply	supply	NOUN
ejpam-1847	460	7	and	and	CCONJ
ejpam-1847	460	8	cpi	cpi	NOUN
ejpam-1847	460	9	are	be	AUX
ejpam-1847	460	10	published	publish	VERB
ejpam-1847	460	11	on	on	ADP
ejpam-1847	460	12	the	the	DET
ejpam-1847	460	13	website	website	NOUN
ejpam-1847	460	14	of	of	ADP
ejpam-1847	460	15	the	the	DET
ejpam-1847	460	16	national	national	PROPN
ejpam-1847	460	17	bureau	bureau	PROPN
ejpam-1847	460	18	of	of	ADP
ejpam-1847	460	19	statistics	statistic	NOUN
ejpam-1847	460	20	of	of	ADP
ejpam-1847	460	21	china†.	china†.	NOUN
ejpam-1847	460	22	m2	m2	PROPN
ejpam-1847	460	23	money	money	NOUN
ejpam-1847	460	24	supply	supply	NOUN
ejpam-1847	460	25	is	be	AUX
ejpam-1847	460	26	a	a	DET
ejpam-1847	460	27	measure	measure	NOUN
ejpam-1847	460	28	of	of	ADP
ejpam-1847	460	29	the	the	DET
ejpam-1847	460	30	amount	amount	NOUN
ejpam-1847	460	31	of	of	ADP
ejpam-1847	460	32	money	money	NOUN
ejpam-1847	460	33	in	in	ADP
ejpam-1847	460	34	the	the	DET
ejpam-1847	460	35	economy	economy	NOUN
ejpam-1847	460	36	,	,	PUNCT
ejpam-1847	460	37	and	and	CCONJ
ejpam-1847	460	38	is	be	AUX
ejpam-1847	460	39	constructed	construct	VERB
ejpam-1847	460	40	as	as	ADP
ejpam-1847	460	41	the	the	DET
ejpam-1847	460	42	sum	sum	NOUN
ejpam-1847	460	43	of	of	ADP
ejpam-1847	460	44	currency	currency	NOUN
ejpam-1847	460	45	,	,	PUNCT
ejpam-1847	460	46	current	current	ADJ
ejpam-1847	460	47	deposit	deposit	NOUN
ejpam-1847	460	48	accounts	account	NOUN
ejpam-1847	460	49	,	,	PUNCT
ejpam-1847	460	50	savings	saving	NOUN
ejpam-1847	460	51	and	and	CCONJ
ejpam-1847	460	52	other	other	ADJ
ejpam-1847	460	53	term	term	NOUN
ejpam-1847	460	54	deposits	deposit	NOUN
ejpam-1847	460	55	.	.	PUNCT
ejpam-1847	461	1	the	the	DET
ejpam-1847	461	2	amount	amount	NOUN
ejpam-1847	461	3	of	of	ADP
ejpam-1847	461	4	m2	m2	PROPN
ejpam-1847	461	5	money	money	NOUN
ejpam-1847	461	6	supply	supply	NOUN
ejpam-1847	461	7	is	be	AUX
ejpam-1847	461	8	controlled	control	VERB
ejpam-1847	461	9	by	by	ADP
ejpam-1847	461	10	a	a	DET
ejpam-1847	461	11	country	country	NOUN
ejpam-1847	461	12	’s	’s	PART
ejpam-1847	461	13	central	central	PROPN
ejpam-1847	461	14	bank	bank	PROPN
ejpam-1847	461	15	as	as	ADP
ejpam-1847	461	16	the	the	DET
ejpam-1847	461	17	monetary	monetary	ADJ
ejpam-1847	461	18	policy	policy	NOUN
ejpam-1847	461	19	.	.	PUNCT
ejpam-1847	462	1	cpi	cpi	PROPN
ejpam-1847	462	2	,	,	PUNCT
ejpam-1847	462	3	which	which	PRON
ejpam-1847	462	4	can	can	AUX
ejpam-1847	462	5	also	also	ADV
ejpam-1847	462	6	be	be	AUX
ejpam-1847	462	7	called	call	VERB
ejpam-1847	462	8	the	the	DET
ejpam-1847	462	9	inflation	inflation	NOUN
ejpam-1847	462	10	rate	rate	NOUN
ejpam-1847	462	11	,	,	PUNCT
ejpam-1847	462	12	is	be	AUX
ejpam-1847	462	13	the	the	DET
ejpam-1847	462	14	increase	increase	NOUN
ejpam-1847	462	15	rate	rate	NOUN
ejpam-1847	462	16	of	of	ADP
ejpam-1847	462	17	price	price	NOUN
ejpam-1847	462	18	of	of	ADP
ejpam-1847	462	19	goods	good	NOUN
ejpam-1847	462	20	purchased	purchase	VERB
ejpam-1847	462	21	by	by	ADP
ejpam-1847	462	22	average	average	ADJ
ejpam-1847	462	23	households	household	NOUN
ejpam-1847	462	24	.	.	PUNCT
ejpam-1847	463	1	from	from	ADP
ejpam-1847	463	2	a	a	DET
ejpam-1847	463	3	macroeconomic	macroeconomic	ADJ
ejpam-1847	463	4	perspective	perspective	NOUN
ejpam-1847	463	5	,	,	PUNCT
ejpam-1847	463	6	a	a	DET
ejpam-1847	463	7	major	major	ADJ
ejpam-1847	463	8	reason	reason	NOUN
ejpam-1847	463	9	that	that	SCONJ
ejpam-1847	463	10	the	the	DET
ejpam-1847	463	11	money	money	NOUN
ejpam-1847	463	12	supply	supply	NOUN
ejpam-1847	463	13	is	be	AUX
ejpam-1847	463	14	important	important	ADJ
ejpam-1847	463	15	is	be	AUX
ejpam-1847	463	16	that	that	SCONJ
ejpam-1847	463	17	,	,	PUNCT
ejpam-1847	463	18	in	in	ADP
ejpam-1847	463	19	the	the	DET
ejpam-1847	463	20	long	long	ADJ
ejpam-1847	463	21	run	run	NOUN
ejpam-1847	463	22	,	,	PUNCT
ejpam-1847	463	23	the	the	DET
ejpam-1847	463	24	amount	amount	NOUN
ejpam-1847	463	25	of	of	ADP
ejpam-1847	463	26	money	money	NOUN
ejpam-1847	463	27	circulating	circulate	VERB
ejpam-1847	463	28	in	in	ADP
ejpam-1847	463	29	an	an	DET
ejpam-1847	463	30	economy	economy	NOUN
ejpam-1847	463	31	and	and	CCONJ
ejpam-1847	463	32	the	the	DET
ejpam-1847	463	33	general	general	ADJ
ejpam-1847	463	34	level	level	NOUN
ejpam-1847	463	35	of	of	ADP
ejpam-1847	463	36	prices	price	NOUN
ejpam-1847	463	37	are	be	AUX
ejpam-1847	463	38	closely	closely	ADV
ejpam-1847	463	39	linked	link	VERB
ejpam-1847	463	40	.	.	PUNCT
ejpam-1847	464	1	to	to	PART
ejpam-1847	464	2	explain	explain	VERB
ejpam-1847	464	3	this	this	DET
ejpam-1847	464	4	relationship	relationship	NOUN
ejpam-1847	464	5	,	,	PUNCT
ejpam-1847	464	6	let	let	VERB
ejpam-1847	464	7	us	we	PRON
ejpam-1847	464	8	have	have	VERB
ejpam-1847	464	9	a	a	DET
ejpam-1847	464	10	look	look	NOUN
ejpam-1847	464	11	at	at	ADP
ejpam-1847	464	12	the	the	DET
ejpam-1847	464	13	famous	famous	ADJ
ejpam-1847	464	14	“	"	PUNCT
ejpam-1847	464	15	quantity	quantity	NOUN
ejpam-1847	464	16	equation	equation	NOUN
ejpam-1847	464	17	”	"	PUNCT
ejpam-1847	464	18	.	.	PUNCT
ejpam-1847	465	1	mv=	mv=	PROPN
ejpam-1847	465	2	py	py	INTJ
ejpam-1847	465	3	where	where	SCONJ
ejpam-1847	465	4	m	m	PROPN
ejpam-1847	465	5	is	be	AUX
ejpam-1847	465	6	money	money	NOUN
ejpam-1847	465	7	supply	supply	NOUN
ejpam-1847	465	8	,	,	PUNCT
ejpam-1847	465	9	v	v	NOUN
ejpam-1847	465	10	is	be	AUX
ejpam-1847	465	11	a	a	DET
ejpam-1847	465	12	measure	measure	NOUN
ejpam-1847	465	13	of	of	ADP
ejpam-1847	465	14	the	the	DET
ejpam-1847	465	15	speed	speed	NOUN
ejpam-1847	465	16	at	at	ADP
ejpam-1847	465	17	which	which	PRON
ejpam-1847	465	18	money	money	NOUN
ejpam-1847	465	19	circulates	circulate	VERB
ejpam-1847	465	20	,	,	PUNCT
ejpam-1847	465	21	p	p	NOUN
ejpam-1847	465	22	is	be	AUX
ejpam-1847	465	23	the	the	DET
ejpam-1847	465	24	price	price	NOUN
ejpam-1847	465	25	level	level	NOUN
ejpam-1847	465	26	and	and	CCONJ
ejpam-1847	465	27	y	y	PROPN
ejpam-1847	465	28	is	be	AUX
ejpam-1847	465	29	the	the	DET
ejpam-1847	465	30	real	real	ADJ
ejpam-1847	465	31	output	output	NOUN
ejpam-1847	465	32	.	.	PUNCT
ejpam-1847	466	1	v	v	NOUN
ejpam-1847	466	2	is	be	AUX
ejpam-1847	466	3	determined	determine	VERB
ejpam-1847	466	4	by	by	ADP
ejpam-1847	466	5	current	current	ADJ
ejpam-1847	466	6	payments	payment	NOUN
ejpam-1847	466	7	technologies	technology	NOUN
ejpam-1847	466	8	and	and	CCONJ
ejpam-1847	466	9	thus	thus	ADV
ejpam-1847	466	10	is	be	AUX
ejpam-1847	466	11	approximately	approximately	ADV
ejpam-1847	466	12	constant	constant	ADJ
ejpam-1847	466	13	.	.	PUNCT
ejpam-1847	467	1	likewise	likewise	ADV
ejpam-1847	467	2	,	,	PUNCT
ejpam-1847	467	3	one	one	PRON
ejpam-1847	467	4	can	can	AUX
ejpam-1847	467	5	assume	assume	VERB
ejpam-1847	467	6	that	that	SCONJ
ejpam-1847	467	7	the	the	DET
ejpam-1847	467	8	real	real	ADJ
ejpam-1847	467	9	output	output	NOUN
ejpam-1847	467	10	y	y	PROPN
ejpam-1847	467	11	is	be	AUX
ejpam-1847	467	12	approximately	approximately	ADV
ejpam-1847	467	13	constant	constant	ADJ
ejpam-1847	467	14	.	.	PUNCT
ejpam-1847	468	1	if	if	SCONJ
ejpam-1847	468	2	we	we	PRON
ejpam-1847	468	3	use	use	VERB
ejpam-1847	468	4	a	a	DET
ejpam-1847	468	5	bar	bar	NOUN
ejpam-1847	468	6	over	over	ADP
ejpam-1847	468	7	a	a	DET
ejpam-1847	468	8	variable	variable	NOUN
ejpam-1847	468	9	to	to	PART
ejpam-1847	468	10	indicate	indicate	VERB
ejpam-1847	468	11	that	that	SCONJ
ejpam-1847	468	12	the	the	DET
ejpam-1847	468	13	variable	variable	NOUN
ejpam-1847	468	14	is	be	AUX
ejpam-1847	468	15	constant	constant	ADJ
ejpam-1847	468	16	,	,	PUNCT
ejpam-1847	468	17	we	we	PRON
ejpam-1847	468	18	can	can	AUX
ejpam-1847	468	19	rewrite	rewrite	VERB
ejpam-1847	468	20	the	the	DET
ejpam-1847	468	21	quantity	quantity	NOUN
ejpam-1847	468	22	equation	equation	NOUN
ejpam-1847	468	23	as	as	ADP
ejpam-1847	468	24	mv̄=	mv̄=	NOUN
ejpam-1847	468	25	pȳ	pȳ	NOUN
ejpam-1847	468	26	then	then	ADV
ejpam-1847	468	27	we	we	PRON
ejpam-1847	468	28	see	see	VERB
ejpam-1847	468	29	that	that	SCONJ
ejpam-1847	468	30	the	the	DET
ejpam-1847	468	31	quantity	quantity	NOUN
ejpam-1847	468	32	equation	equation	NOUN
ejpam-1847	468	33	can	can	AUX
ejpam-1847	468	34	hold	hold	VERB
ejpam-1847	468	35	only	only	ADV
ejpam-1847	468	36	if	if	SCONJ
ejpam-1847	468	37	m	m	VERB
ejpam-1847	468	38	and	and	CCONJ
ejpam-1847	468	39	p	p	NOUN
ejpam-1847	468	40	rise	rise	NOUN
ejpam-1847	468	41	at	at	ADP
ejpam-1847	468	42	the	the	DET
ejpam-1847	468	43	same	same	ADJ
ejpam-1847	468	44	growth	growth	NOUN
ejpam-1847	468	45	rate	rate	NOUN
ejpam-1847	468	46	.	.	PUNCT
ejpam-1847	469	1	†http://www.stats.gov.cn	†http://www.stats.gov.cn	PROPN
ejpam-1847	469	2	x.zhao	x.zhao	PROPN
ejpam-1847	469	3	,	,	PUNCT
ejpam-1847	469	4	g.	g.	PROPN
ejpam-1847	469	5	qian	qian	PROPN
ejpam-1847	469	6	/	/	SYM
ejpam-1847	469	7	eur	eur	PROPN
ejpam-1847	469	8	.	.	PUNCT
ejpam-1847	470	1	j.	j.	PROPN
ejpam-1847	470	2	pure	pure	PROPN
ejpam-1847	470	3	appl	appl	PROPN
ejpam-1847	470	4	.	.	PROPN
ejpam-1847	470	5	math	math	PROPN
ejpam-1847	470	6	,	,	PUNCT
ejpam-1847	470	7	7	7	NUM
ejpam-1847	470	8	(	(	PUNCT
ejpam-1847	470	9	2014	2014	NUM
ejpam-1847	470	10	)	)	PUNCT
ejpam-1847	470	11	,	,	PUNCT
ejpam-1847	470	12	1	1	NUM
ejpam-1847	470	13	-	-	SYM
ejpam-1847	470	14	21	21	NUM
ejpam-1847	470	15	17	17	NUM
ejpam-1847	470	16	however	however	ADV
ejpam-1847	470	17	,	,	PUNCT
ejpam-1847	470	18	there	there	PRON
ejpam-1847	470	19	are	be	VERB
ejpam-1847	470	20	two	two	NUM
ejpam-1847	470	21	explanations	explanation	NOUN
ejpam-1847	470	22	of	of	ADP
ejpam-1847	470	23	the	the	DET
ejpam-1847	470	24	relationship	relationship	NOUN
ejpam-1847	470	25	between	between	ADP
ejpam-1847	470	26	the	the	DET
ejpam-1847	470	27	two	two	NUM
ejpam-1847	470	28	variables	variable	NOUN
ejpam-1847	470	29	(	(	PUNCT
ejpam-1847	470	30	see	see	VERB
ejpam-1847	470	31	bernanke	bernanke	PROPN
ejpam-1847	470	32	,	,	PUNCT
ejpam-1847	470	33	olekalns	olekalns	PROPN
ejpam-1847	470	34	and	and	CCONJ
ejpam-1847	470	35	frank	frank	ADJ
ejpam-1847	470	36	[	[	X
ejpam-1847	470	37	5	5	NUM
ejpam-1847	470	38	,	,	PUNCT
ejpam-1847	470	39	chapter	chapter	NOUN
ejpam-1847	470	40	8	8	NUM
ejpam-1847	470	41	]	]	PUNCT
ejpam-1847	470	42	)	)	PUNCT
ejpam-1847	470	43	.	.	PUNCT
ejpam-1847	471	1	one	one	NUM
ejpam-1847	471	2	is	be	AUX
ejpam-1847	471	3	that	that	SCONJ
ejpam-1847	471	4	a	a	DET
ejpam-1847	471	5	rapidly	rapidly	ADV
ejpam-1847	471	6	growing	grow	VERB
ejpam-1847	471	7	supply	supply	NOUN
ejpam-1847	471	8	of	of	ADP
ejpam-1847	471	9	money	money	NOUN
ejpam-1847	471	10	will	will	AUX
ejpam-1847	471	11	lead	lead	VERB
ejpam-1847	471	12	to	to	ADP
ejpam-1847	471	13	quickly	quickly	ADV
ejpam-1847	471	14	rising	rise	VERB
ejpam-1847	471	15	prices	price	NOUN
ejpam-1847	471	16	,	,	PUNCT
ejpam-1847	471	17	that	that	ADV
ejpam-1847	471	18	is	is	ADV
ejpam-1847	471	19	,	,	PUNCT
ejpam-1847	471	20	inflation	inflation	NOUN
ejpam-1847	471	21	.	.	PUNCT
ejpam-1847	472	1	another	another	DET
ejpam-1847	472	2	explanation	explanation	NOUN
ejpam-1847	472	3	of	of	ADP
ejpam-1847	472	4	the	the	DET
ejpam-1847	472	5	relationship	relationship	NOUN
ejpam-1847	472	6	is	be	AUX
ejpam-1847	472	7	that	that	SCONJ
ejpam-1847	472	8	some	some	DET
ejpam-1847	472	9	other	other	ADJ
ejpam-1847	472	10	reasons	reason	NOUN
ejpam-1847	472	11	cause	cause	VERB
ejpam-1847	472	12	the	the	DET
ejpam-1847	472	13	inflation	inflation	NOUN
ejpam-1847	472	14	,	,	PUNCT
ejpam-1847	472	15	then	then	ADV
ejpam-1847	472	16	the	the	DET
ejpam-1847	472	17	central	central	ADJ
ejpam-1847	472	18	bank	bank	NOUN
ejpam-1847	472	19	has	have	VERB
ejpam-1847	472	20	to	to	PART
ejpam-1847	472	21	increase	increase	VERB
ejpam-1847	472	22	the	the	DET
ejpam-1847	472	23	money	money	NOUN
ejpam-1847	472	24	supply	supply	NOUN
ejpam-1847	472	25	to	to	PART
ejpam-1847	472	26	accommodate	accommodate	VERB
ejpam-1847	472	27	to	to	ADP
ejpam-1847	472	28	the	the	DET
ejpam-1847	472	29	increased	increase	VERB
ejpam-1847	472	30	money	money	NOUN
ejpam-1847	472	31	demand	demand	NOUN
ejpam-1847	472	32	caused	cause	VERB
ejpam-1847	472	33	by	by	ADP
ejpam-1847	472	34	the	the	DET
ejpam-1847	472	35	increased	increase	VERB
ejpam-1847	472	36	prices	price	NOUN
ejpam-1847	472	37	.	.	PUNCT
ejpam-1847	473	1	both	both	DET
ejpam-1847	473	2	explanations	explanation	NOUN
ejpam-1847	473	3	agree	agree	VERB
ejpam-1847	473	4	that	that	SCONJ
ejpam-1847	473	5	there	there	PRON
ejpam-1847	473	6	is	be	VERB
ejpam-1847	473	7	a	a	DET
ejpam-1847	473	8	close	close	ADJ
ejpam-1847	473	9	relationship	relationship	NOUN
ejpam-1847	473	10	between	between	ADP
ejpam-1847	473	11	the	the	DET
ejpam-1847	473	12	growth	growth	NOUN
ejpam-1847	473	13	rate	rate	NOUN
ejpam-1847	473	14	of	of	ADP
ejpam-1847	473	15	money	money	NOUN
ejpam-1847	473	16	supply	supply	NOUN
ejpam-1847	473	17	and	and	CCONJ
ejpam-1847	473	18	the	the	DET
ejpam-1847	473	19	growth	growth	NOUN
ejpam-1847	473	20	rate	rate	NOUN
ejpam-1847	473	21	of	of	ADP
ejpam-1847	473	22	price	price	NOUN
ejpam-1847	473	23	(	(	PUNCT
ejpam-1847	473	24	inflation	inflation	NOUN
ejpam-1847	473	25	rate	rate	NOUN
ejpam-1847	473	26	)	)	PUNCT
ejpam-1847	473	27	.	.	PUNCT
ejpam-1847	474	1	in	in	ADP
ejpam-1847	474	2	fact	fact	NOUN
ejpam-1847	474	3	,	,	PUNCT
ejpam-1847	474	4	there	there	PRON
ejpam-1847	474	5	is	be	VERB
ejpam-1847	474	6	an	an	DET
ejpam-1847	474	7	extensive	extensive	ADJ
ejpam-1847	474	8	literature	literature	NOUN
ejpam-1847	474	9	on	on	ADP
ejpam-1847	474	10	var	var	NOUN
ejpam-1847	474	11	modelling	modelling	NOUN
ejpam-1847	474	12	of	of	ADP
ejpam-1847	474	13	money	money	NOUN
ejpam-1847	474	14	supply	supply	NOUN
ejpam-1847	474	15	and	and	CCONJ
ejpam-1847	474	16	inflation	inflation	NOUN
ejpam-1847	474	17	.	.	PUNCT
ejpam-1847	475	1	for	for	ADP
ejpam-1847	475	2	example	example	NOUN
ejpam-1847	475	3	,	,	PUNCT
ejpam-1847	475	4	anderson	anderson	PROPN
ejpam-1847	475	5	,	,	PUNCT
ejpam-1847	475	6	hoffman	hoffman	NOUN
ejpam-1847	475	7	and	and	CCONJ
ejpam-1847	475	8	rasche	rasche	NOUN
ejpam-1847	476	1	[	[	X
ejpam-1847	476	2	3	3	NUM
ejpam-1847	476	3	]	]	PUNCT
ejpam-1847	476	4	,	,	PUNCT
ejpam-1847	476	5	juselius	juselius	NOUN
ejpam-1847	476	6	and	and	CCONJ
ejpam-1847	476	7	toro	toro	PROPN
ejpam-1847	477	1	[	[	X
ejpam-1847	477	2	21	21	NUM
ejpam-1847	477	3	]	]	PUNCT
ejpam-1847	477	4	,	,	PUNCT
ejpam-1847	477	5	and	and	CCONJ
ejpam-1847	477	6	zhao	zhao	PROPN
ejpam-1847	477	7	,	,	PUNCT
ejpam-1847	477	8	chen	chen	PROPN
ejpam-1847	477	9	and	and	CCONJ
ejpam-1847	477	10	gao	gao	PROPN
ejpam-1847	478	1	[	[	X
ejpam-1847	478	2	34	34	NUM
ejpam-1847	478	3	]	]	PUNCT
ejpam-1847	478	4	studied	study	VERB
ejpam-1847	478	5	the	the	DET
ejpam-1847	478	6	relation	relation	NOUN
ejpam-1847	478	7	between	between	ADP
ejpam-1847	478	8	money	money	NOUN
ejpam-1847	478	9	supply	supply	NOUN
ejpam-1847	478	10	and	and	CCONJ
ejpam-1847	478	11	other	other	ADJ
ejpam-1847	478	12	economic	economic	ADJ
ejpam-1847	478	13	variables	variable	NOUN
ejpam-1847	478	14	including	include	VERB
ejpam-1847	478	15	cpi	cpi	NOUN
ejpam-1847	478	16	of	of	ADP
ejpam-1847	478	17	u.s	u.s	PROPN
ejpam-1847	478	18	.	.	PROPN
ejpam-1847	478	19	,	,	PUNCT
ejpam-1847	478	20	spain	spain	PROPN
ejpam-1847	478	21	and	and	CCONJ
ejpam-1847	478	22	china	china	PROPN
ejpam-1847	478	23	respectively	respectively	ADV
ejpam-1847	478	24	using	use	VERB
ejpam-1847	478	25	var	var	NOUN
ejpam-1847	478	26	models	model	NOUN
ejpam-1847	478	27	.	.	PUNCT
ejpam-1847	479	1	however	however	ADV
ejpam-1847	479	2	,	,	PUNCT
ejpam-1847	479	3	all	all	DET
ejpam-1847	479	4	the	the	DET
ejpam-1847	479	5	established	establish	VERB
ejpam-1847	479	6	var	var	NOUN
ejpam-1847	479	7	models	model	NOUN
ejpam-1847	479	8	are	be	AUX
ejpam-1847	479	9	unrestricted	unrestricted	ADJ
ejpam-1847	479	10	ones	one	NOUN
ejpam-1847	479	11	.	.	PUNCT
ejpam-1847	480	1	the	the	DET
ejpam-1847	480	2	subset	subset	NOUN
ejpam-1847	480	3	var	var	NOUN
ejpam-1847	480	4	model	model	NOUN
ejpam-1847	480	5	has	have	AUX
ejpam-1847	480	6	not	not	PART
ejpam-1847	480	7	been	be	AUX
ejpam-1847	480	8	found	find	VERB
ejpam-1847	480	9	in	in	ADP
ejpam-1847	480	10	use	use	NOUN
ejpam-1847	480	11	.	.	PUNCT
ejpam-1847	481	1	to	to	PART
ejpam-1847	481	2	investigate	investigate	VERB
ejpam-1847	481	3	the	the	DET
ejpam-1847	481	4	relationship	relationship	NOUN
ejpam-1847	481	5	between	between	ADP
ejpam-1847	481	6	the	the	DET
ejpam-1847	481	7	two	two	NUM
ejpam-1847	481	8	variables	variable	NOUN
ejpam-1847	481	9	in	in	ADP
ejpam-1847	481	10	more	more	ADJ
ejpam-1847	481	11	detail	detail	NOUN
ejpam-1847	481	12	we	we	PRON
ejpam-1847	481	13	establish	establish	VERB
ejpam-1847	481	14	a	a	DET
ejpam-1847	481	15	subset	subset	ADJ
ejpam-1847	481	16	var	var	NOUN
ejpam-1847	481	17	modelling	modelling	NOUN
ejpam-1847	481	18	frame	frame	NOUN
ejpam-1847	481	19	.	.	PUNCT
ejpam-1847	482	1	first	first	ADV
ejpam-1847	482	2	of	of	ADP
ejpam-1847	482	3	all	all	PRON
ejpam-1847	482	4	,	,	PUNCT
ejpam-1847	482	5	for	for	ADP
ejpam-1847	482	6	a	a	DET
ejpam-1847	482	7	specification	specification	NOUN
ejpam-1847	482	8	of	of	ADP
ejpam-1847	482	9	var	var	PROPN
ejpam-1847	482	10	model	model	NOUN
ejpam-1847	482	11	it	it	PRON
ejpam-1847	482	12	requires	require	VERB
ejpam-1847	482	13	to	to	PART
ejpam-1847	482	14	examine	examine	VERB
ejpam-1847	482	15	the	the	DET
ejpam-1847	482	16	stationarity	stationarity	NOUN
ejpam-1847	482	17	of	of	ADP
ejpam-1847	482	18	the	the	DET
ejpam-1847	482	19	observed	observe	VERB
ejpam-1847	482	20	time	time	NOUN
ejpam-1847	482	21	series	series	NOUN
ejpam-1847	482	22	for	for	ADP
ejpam-1847	482	23	the	the	DET
ejpam-1847	482	24	variables	variable	NOUN
ejpam-1847	482	25	.	.	PUNCT
ejpam-1847	483	1	we	we	PRON
ejpam-1847	483	2	choose	choose	VERB
ejpam-1847	483	3	to	to	PART
ejpam-1847	483	4	use	use	VERB
ejpam-1847	483	5	the	the	DET
ejpam-1847	483	6	phillips	phillips	PROPN
ejpam-1847	483	7	-	-	PUNCT
ejpam-1847	483	8	perron	perron	PROPN
ejpam-1847	483	9	unit	unit	NOUN
ejpam-1847	483	10	root	root	PROPN
ejpam-1847	483	11	test	test	NOUN
ejpam-1847	484	1	[	[	X
ejpam-1847	484	2	26	26	NUM
ejpam-1847	484	3	]	]	PUNCT
ejpam-1847	484	4	to	to	PART
ejpam-1847	484	5	examine	examine	VERB
ejpam-1847	484	6	this	this	PRON
ejpam-1847	484	7	.	.	PUNCT
ejpam-1847	485	1	listed	list	VERB
ejpam-1847	485	2	in	in	ADP
ejpam-1847	485	3	table	table	NOUN
ejpam-1847	485	4	3	3	NUM
ejpam-1847	485	5	are	be	AUX
ejpam-1847	485	6	the	the	DET
ejpam-1847	485	7	results	result	NOUN
ejpam-1847	485	8	for	for	ADP
ejpam-1847	485	9	the	the	DET
ejpam-1847	485	10	growth	growth	NOUN
ejpam-1847	485	11	rate	rate	NOUN
ejpam-1847	485	12	of	of	ADP
ejpam-1847	485	13	china	china	PROPN
ejpam-1847	485	14	’s	’s	PART
ejpam-1847	485	15	m2	m2	PROPN
ejpam-1847	485	16	(	(	PUNCT
ejpam-1847	485	17	denoted	denote	VERB
ejpam-1847	485	18	as	as	ADP
ejpam-1847	485	19	m2r	m2r	NOUN
ejpam-1847	485	20	)	)	PUNCT
ejpam-1847	485	21	,	,	PUNCT
ejpam-1847	485	22	the	the	DET
ejpam-1847	485	23	first	first	ADJ
ejpam-1847	485	24	order	order	NOUN
ejpam-1847	485	25	difference	difference	NOUN
ejpam-1847	485	26	of	of	ADP
ejpam-1847	485	27	the	the	DET
ejpam-1847	485	28	growth	growth	NOUN
ejpam-1847	485	29	rate	rate	NOUN
ejpam-1847	485	30	of	of	ADP
ejpam-1847	485	31	the	the	DET
ejpam-1847	485	32	m2	m2	PROPN
ejpam-1847	485	33	(	(	PUNCT
ejpam-1847	485	34	denoted	denote	VERB
ejpam-1847	485	35	as	as	ADP
ejpam-1847	485	36	dm2r	dm2r	PROPN
ejpam-1847	485	37	)	)	PUNCT
ejpam-1847	485	38	,	,	PUNCT
ejpam-1847	485	39	cpi	cpi	PROPN
ejpam-1847	485	40	and	and	CCONJ
ejpam-1847	485	41	the	the	DET
ejpam-1847	485	42	first	first	ADJ
ejpam-1847	485	43	order	order	NOUN
ejpam-1847	485	44	difference	difference	NOUN
ejpam-1847	485	45	of	of	ADP
ejpam-1847	485	46	the	the	DET
ejpam-1847	485	47	cpi	cpi	NOUN
ejpam-1847	485	48	(	(	PUNCT
ejpam-1847	485	49	denoted	denote	VERB
ejpam-1847	485	50	as	as	ADP
ejpam-1847	485	51	dcpi	dcpi	NOUN
ejpam-1847	485	52	)	)	PUNCT
ejpam-1847	485	53	.	.	PUNCT
ejpam-1847	486	1	from	from	ADP
ejpam-1847	486	2	the	the	DET
ejpam-1847	486	3	table	table	NOUN
ejpam-1847	486	4	we	we	PRON
ejpam-1847	486	5	see	see	VERB
ejpam-1847	486	6	that	that	SCONJ
ejpam-1847	486	7	the	the	DET
ejpam-1847	486	8	test	test	NOUN
ejpam-1847	486	9	rejects	reject	VERB
ejpam-1847	486	10	the	the	DET
ejpam-1847	486	11	null	null	ADJ
ejpam-1847	486	12	hypothesis	hypothesis	NOUN
ejpam-1847	486	13	of	of	ADP
ejpam-1847	486	14	a	a	DET
ejpam-1847	486	15	unit	unit	NOUN
ejpam-1847	486	16	root	root	NOUN
ejpam-1847	486	17	in	in	ADP
ejpam-1847	486	18	dm2r	dm2r	PROPN
ejpam-1847	486	19	and	and	CCONJ
ejpam-1847	486	20	dcpi	dcpi	NOUN
ejpam-1847	486	21	,	,	PUNCT
ejpam-1847	486	22	but	but	CCONJ
ejpam-1847	486	23	fails	fail	VERB
ejpam-1847	486	24	to	to	PART
ejpam-1847	486	25	reject	reject	VERB
ejpam-1847	486	26	the	the	DET
ejpam-1847	486	27	null	null	ADJ
ejpam-1847	486	28	hypothesis	hypothesis	NOUN
ejpam-1847	486	29	of	of	ADP
ejpam-1847	486	30	a	a	DET
ejpam-1847	486	31	unit	unit	NOUN
ejpam-1847	486	32	root	root	NOUN
ejpam-1847	486	33	in	in	ADP
ejpam-1847	486	34	m2r	m2r	PROPN
ejpam-1847	486	35	and	and	CCONJ
ejpam-1847	486	36	cpi	cpi	NOUN
ejpam-1847	486	37	at	at	ADP
ejpam-1847	486	38	any	any	PRON
ejpam-1847	486	39	of	of	ADP
ejpam-1847	486	40	the	the	DET
ejpam-1847	486	41	reported	report	VERB
ejpam-1847	486	42	significance	significance	NOUN
ejpam-1847	486	43	levels	level	NOUN
ejpam-1847	486	44	.	.	PUNCT
ejpam-1847	487	1	the	the	DET
ejpam-1847	487	2	tests	test	NOUN
ejpam-1847	487	3	strongly	strongly	ADV
ejpam-1847	487	4	support	support	VERB
ejpam-1847	487	5	that	that	SCONJ
ejpam-1847	487	6	both	both	DET
ejpam-1847	487	7	growth	growth	NOUN
ejpam-1847	487	8	rates	rate	NOUN
ejpam-1847	487	9	of	of	ADP
ejpam-1847	487	10	m2	m2	PROPN
ejpam-1847	487	11	and	and	CCONJ
ejpam-1847	487	12	cpi	cpi	PROPN
ejpam-1847	487	13	are	be	AUX
ejpam-1847	487	14	i(1	i(1	NOUN
ejpam-1847	487	15	)	)	PUNCT
ejpam-1847	487	16	.	.	PUNCT
ejpam-1847	488	1	thus	thus	ADV
ejpam-1847	488	2	,	,	PUNCT
ejpam-1847	488	3	we	we	PRON
ejpam-1847	488	4	are	be	AUX
ejpam-1847	488	5	to	to	PART
ejpam-1847	488	6	establish	establish	VERB
ejpam-1847	488	7	a	a	DET
ejpam-1847	488	8	var	var	NOUN
ejpam-1847	488	9	model	model	NOUN
ejpam-1847	488	10	using	use	VERB
ejpam-1847	488	11	the	the	DET
ejpam-1847	488	12	first	first	ADJ
ejpam-1847	488	13	order	order	NOUN
ejpam-1847	488	14	differences	difference	NOUN
ejpam-1847	488	15	of	of	ADP
ejpam-1847	488	16	both	both	DET
ejpam-1847	488	17	dm2r	dm2r	NOUN
ejpam-1847	488	18	and	and	CCONJ
ejpam-1847	488	19	dcpi	dcpi	ADJ
ejpam-1847	488	20	.	.	PUNCT
ejpam-1847	489	1	table	table	NOUN
ejpam-1847	489	2	3	3	NUM
ejpam-1847	489	3	:	:	PUNCT
ejpam-1847	489	4	results	result	NOUN
ejpam-1847	489	5	of	of	ADP
ejpam-1847	489	6	phillips	phillips	PROPN
ejpam-1847	489	7	-	-	PUNCT
ejpam-1847	489	8	perron	perron	PROPN
ejpam-1847	489	9	unit	unit	NOUN
ejpam-1847	489	10	root	root	PROPN
ejpam-1847	489	11	test	test	NOUN
ejpam-1847	489	12	in	in	ADP
ejpam-1847	489	13	example	example	NOUN
ejpam-1847	489	14	2	2	NUM
ejpam-1847	489	15	test	test	NOUN
ejpam-1847	489	16	statistic	statistic	NOUN
ejpam-1847	489	17	1	1	NUM
ejpam-1847	489	18	%	%	NOUN
ejpam-1847	489	19	critical	critical	ADJ
ejpam-1847	489	20	value	value	NOUN
ejpam-1847	489	21	5	5	NUM
ejpam-1847	489	22	%	%	NOUN
ejpam-1847	489	23	critical	critical	ADJ
ejpam-1847	489	24	value	value	NOUN
ejpam-1847	489	25	m2r	m2r	PROPN
ejpam-1847	489	26	-2.74	-2.74	NUM
ejpam-1847	489	27	-3.55	-3.55	NUM
ejpam-1847	489	28	-2.91	-2.91	ADV
ejpam-1847	489	29	dm2r	dm2r	PROPN
ejpam-1847	490	1	-5.81	-5.81	PROPN
ejpam-1847	490	2	-3.55	-3.55	NUM
ejpam-1847	490	3	-2.91	-2.91	PROPN
ejpam-1847	490	4	cpi	cpi	PROPN
ejpam-1847	490	5	-1.57	-1.57	PROPN
ejpam-1847	490	6	-3.55	-3.55	NUM
ejpam-1847	490	7	-2.91	-2.91	PROPN
ejpam-1847	490	8	dcpi	dcpi	ADV
ejpam-1847	490	9	-3.63	-3.63	PRON
ejpam-1847	490	10	-3.55	-3.55	PRON
ejpam-1847	490	11	-2.91	-2.91	INTJ
ejpam-1847	490	12	the	the	DET
ejpam-1847	490	13	results	result	NOUN
ejpam-1847	490	14	of	of	ADP
ejpam-1847	490	15	lütkepohl	lütkepohl	NOUN
ejpam-1847	490	16	’s	’s	PART
ejpam-1847	490	17	order	order	NOUN
ejpam-1847	490	18	determination	determination	NOUN
ejpam-1847	490	19	scheme	scheme	NOUN
ejpam-1847	490	20	,	,	PUNCT
ejpam-1847	490	21	which	which	PRON
ejpam-1847	490	22	are	be	AUX
ejpam-1847	490	23	in	in	ADP
ejpam-1847	490	24	table	table	NOUN
ejpam-1847	490	25	4	4	NUM
ejpam-1847	490	26	,	,	PUNCT
ejpam-1847	490	27	show	show	VERB
ejpam-1847	490	28	that	that	SCONJ
ejpam-1847	490	29	h(4)0	h(4)0	NOUN
ejpam-1847	490	30	:	:	PUNCT
ejpam-1847	490	31	φ4	φ4	NOUN
ejpam-1847	490	32	=	=	SYM
ejpam-1847	490	33	0	0	NUM
ejpam-1847	490	34	is	be	AUX
ejpam-1847	490	35	the	the	DET
ejpam-1847	490	36	first	first	ADJ
ejpam-1847	490	37	null	null	ADJ
ejpam-1847	490	38	hypothesis	hypothesis	NOUN
ejpam-1847	490	39	that	that	PRON
ejpam-1847	490	40	is	be	AUX
ejpam-1847	490	41	rejected	reject	VERB
ejpam-1847	490	42	.	.	PUNCT
ejpam-1847	491	1	thus	thus	ADV
ejpam-1847	491	2	,	,	PUNCT
ejpam-1847	491	3	the	the	DET
ejpam-1847	491	4	estimated	estimate	VERB
ejpam-1847	491	5	order	order	NOUN
ejpam-1847	491	6	from	from	ADP
ejpam-1847	491	7	the	the	DET
ejpam-1847	491	8	test	test	NOUN
ejpam-1847	491	9	is	be	AUX
ejpam-1847	491	10	p̂	p̂	X
ejpam-1847	491	11	=	=	SYM
ejpam-1847	491	12	4	4	X
ejpam-1847	491	13	.	.	PUNCT
ejpam-1847	491	14	then	then	ADV
ejpam-1847	491	15	including	include	VERB
ejpam-1847	491	16	the	the	DET
ejpam-1847	491	17	intercepts	intercept	NOUN
ejpam-1847	491	18	the	the	DET
ejpam-1847	491	19	full	full	ADJ
ejpam-1847	491	20	model	model	NOUN
ejpam-1847	491	21	can	can	AUX
ejpam-1847	491	22	be	be	AUX
ejpam-1847	491	23	represented	represent	VERB
ejpam-1847	491	24	as	as	ADP
ejpam-1847	491	25	an	an	DET
ejpam-1847	491	26	index	index	NOUN
ejpam-1847	491	27	matrix	matrix	NOUN
ejpam-1847	491	28	vf=	vf=	NOUN
ejpam-1847	491	29	{	{	PUNCT
ejpam-1847	491	30	1}2×9	1}2×9	NUM
ejpam-1847	491	31	,	,	PUNCT
ejpam-1847	491	32	so	so	SCONJ
ejpam-1847	491	33	there	there	PRON
ejpam-1847	491	34	are	be	VERB
ejpam-1847	491	35	218	218	NUM
ejpam-1847	491	36	=	=	SYM
ejpam-1847	491	37	262,144	262,144	NUM
ejpam-1847	491	38	candidate	candidate	NOUN
ejpam-1847	491	39	models	model	NOUN
ejpam-1847	491	40	in	in	ADP
ejpam-1847	491	41	total	total	NOUN
ejpam-1847	491	42	for	for	ADP
ejpam-1847	491	43	selection	selection	NOUN
ejpam-1847	491	44	.	.	PUNCT
ejpam-1847	492	1	x.zhao	x.zhao	PROPN
ejpam-1847	492	2	,	,	PUNCT
ejpam-1847	492	3	g.	g.	PROPN
ejpam-1847	492	4	qian	qian	PROPN
ejpam-1847	492	5	/	/	SYM
ejpam-1847	492	6	eur	eur	PROPN
ejpam-1847	492	7	.	.	PUNCT
ejpam-1847	493	1	j.	j.	PROPN
ejpam-1847	493	2	pure	pure	PROPN
ejpam-1847	493	3	appl	appl	PROPN
ejpam-1847	493	4	.	.	PROPN
ejpam-1847	493	5	math	math	PROPN
ejpam-1847	493	6	,	,	PUNCT
ejpam-1847	493	7	7	7	NUM
ejpam-1847	493	8	(	(	PUNCT
ejpam-1847	493	9	2014	2014	NUM
ejpam-1847	493	10	)	)	PUNCT
ejpam-1847	493	11	,	,	PUNCT
ejpam-1847	493	12	1	1	NUM
ejpam-1847	493	13	-	-	SYM
ejpam-1847	493	14	21	21	NUM
ejpam-1847	493	15	18	18	NUM
ejpam-1847	493	16	table	table	NOUN
ejpam-1847	493	17	4	4	NUM
ejpam-1847	493	18	:	:	PUNCT
ejpam-1847	493	19	results	result	NOUN
ejpam-1847	493	20	of	of	ADP
ejpam-1847	493	21	lütkepohl	lütkepohl	NOUN
ejpam-1847	493	22	’s	’s	PART
ejpam-1847	493	23	lr	lr	NOUN
ejpam-1847	493	24	test	test	NOUN
ejpam-1847	493	25	in	in	ADP
ejpam-1847	493	26	example	example	NOUN
ejpam-1847	493	27	2	2	NUM
ejpam-1847	493	28	(	(	PUNCT
ejpam-1847	493	29	note	note	NOUN
ejpam-1847	493	30	χ2	χ2	NOUN
ejpam-1847	493	31	4	4	NUM
ejpam-1847	493	32	(	(	PUNCT
ejpam-1847	493	33	0.95	0.95	NUM
ejpam-1847	493	34	)	)	PUNCT
ejpam-1847	493	35	=	=	SYM
ejpam-1847	494	1	9.49	9.49	NUM
ejpam-1847	494	2	)	)	PUNCT
ejpam-1847	495	1	i	i	PRON
ejpam-1847	495	2	h(i)o	h(i)o	PROPN
ejpam-1847	495	3	var	var	NOUN
ejpam-1847	495	4	order	order	NOUN
ejpam-1847	495	5	under	under	ADP
ejpam-1847	495	6	h(i)0	h(i)0	PROPN
ejpam-1847	495	7	λlr	λlr	VERB
ejpam-1847	495	8	1	1	NUM
ejpam-1847	495	9	φ6	φ6	NOUN
ejpam-1847	495	10	=	=	SYM
ejpam-1847	495	11	0	0	NUM
ejpam-1847	495	12	5	5	NUM
ejpam-1847	495	13	7.32	7.32	NUM
ejpam-1847	495	14	2	2	NUM
ejpam-1847	495	15	φ5	φ5	NOUN
ejpam-1847	495	16	=	=	SYM
ejpam-1847	495	17	0	0	NUM
ejpam-1847	495	18	4	4	NUM
ejpam-1847	495	19	8.97	8.97	NUM
ejpam-1847	495	20	3	3	NUM
ejpam-1847	495	21	φ4	φ4	NOUN
ejpam-1847	495	22	=	=	SYM
ejpam-1847	495	23	0	0	NUM
ejpam-1847	495	24	3	3	NUM
ejpam-1847	495	25	40.21	40.21	NUM
ejpam-1847	495	26	4	4	NUM
ejpam-1847	495	27	φ3	φ3	NOUN
ejpam-1847	495	28	=	=	SYM
ejpam-1847	495	29	0	0	NUM
ejpam-1847	495	30	2	2	NUM
ejpam-1847	495	31	4.58	4.58	NUM
ejpam-1847	495	32	5	5	NUM
ejpam-1847	495	33	φ2	φ2	NOUN
ejpam-1847	495	34	=	=	NOUN
ejpam-1847	495	35	0	0	NUM
ejpam-1847	495	36	1	1	NUM
ejpam-1847	495	37	19.59	19.59	NUM
ejpam-1847	495	38	having	having	AUX
ejpam-1847	495	39	done	do	VERB
ejpam-1847	495	40	the	the	DET
ejpam-1847	495	41	above	above	ADJ
ejpam-1847	495	42	preparation	preparation	NOUN
ejpam-1847	495	43	,	,	PUNCT
ejpam-1847	495	44	we	we	PRON
ejpam-1847	495	45	perform	perform	VERB
ejpam-1847	495	46	the	the	DET
ejpam-1847	495	47	model	model	NOUN
ejpam-1847	495	48	selection	selection	NOUN
ejpam-1847	495	49	with	with	ADP
ejpam-1847	495	50	λ	λ	PROPN
ejpam-1847	495	51	=	=	NOUN
ejpam-1847	495	52	0.8	0.8	NUM
ejpam-1847	495	53	,	,	PUNCT
ejpam-1847	495	54	and	and	CCONJ
ejpam-1847	495	55	with	with	ADP
ejpam-1847	495	56	aic	aic	PROPN
ejpam-1847	495	57	being	be	AUX
ejpam-1847	495	58	used	use	VERB
ejpam-1847	495	59	as	as	ADP
ejpam-1847	495	60	the	the	DET
ejpam-1847	495	61	selection	selection	NOUN
ejpam-1847	495	62	criterion	criterion	NOUN
ejpam-1847	495	63	.	.	PUNCT
ejpam-1847	496	1	we	we	PRON
ejpam-1847	496	2	generate	generate	VERB
ejpam-1847	496	3	105	105	NUM
ejpam-1847	496	4	segments	segment	NOUN
ejpam-1847	496	5	in	in	ADP
ejpam-1847	496	6	each	each	DET
ejpam-1847	496	7	run	run	NOUN
ejpam-1847	496	8	.	.	PUNCT
ejpam-1847	497	1	then	then	ADV
ejpam-1847	497	2	we	we	PRON
ejpam-1847	497	3	use	use	VERB
ejpam-1847	497	4	the	the	DET
ejpam-1847	497	5	method	method	NOUN
ejpam-1847	497	6	of	of	ADP
ejpam-1847	497	7	qian	qian	ADJ
ejpam-1847	497	8	and	and	CCONJ
ejpam-1847	497	9	field	field	NOUN
ejpam-1847	497	10	[	[	X
ejpam-1847	497	11	28	28	NUM
ejpam-1847	497	12	]	]	PUNCT
ejpam-1847	497	13	to	to	PART
ejpam-1847	497	14	test	test	VERB
ejpam-1847	497	15	the	the	DET
ejpam-1847	497	16	equilibrium	equilibrium	NOUN
ejpam-1847	497	17	of	of	ADP
ejpam-1847	497	18	the	the	DET
ejpam-1847	497	19	generated	generate	VERB
ejpam-1847	497	20	aic	aic	PROPN
ejpam-1847	497	21	values	value	NOUN
ejpam-1847	497	22	.	.	PUNCT
ejpam-1847	498	1	to	to	PART
ejpam-1847	498	2	reduce	reduce	VERB
ejpam-1847	498	3	the	the	DET
ejpam-1847	498	4	initialization	initialization	ADJ
ejpam-1847	498	5	effect	effect	NOUN
ejpam-1847	498	6	of	of	ADP
ejpam-1847	498	7	the	the	DET
ejpam-1847	498	8	gibbs	gibbs	PROPN
ejpam-1847	498	9	sampler	sampler	NOUN
ejpam-1847	498	10	we	we	PRON
ejpam-1847	498	11	omit	omit	VERB
ejpam-1847	498	12	the	the	DET
ejpam-1847	498	13	first	first	ADJ
ejpam-1847	498	14	5	5	NUM
ejpam-1847	498	15	segments	segment	NOUN
ejpam-1847	498	16	in	in	ADP
ejpam-1847	498	17	each	each	DET
ejpam-1847	498	18	sequence	sequence	NOUN
ejpam-1847	498	19	.	.	PUNCT
ejpam-1847	499	1	further	far	ADV
ejpam-1847	499	2	,	,	PUNCT
ejpam-1847	499	3	rather	rather	ADV
ejpam-1847	499	4	than	than	SCONJ
ejpam-1847	499	5	take	take	VERB
ejpam-1847	499	6	the	the	DET
ejpam-1847	499	7	last	last	ADJ
ejpam-1847	499	8	model	model	NOUN
ejpam-1847	499	9	of	of	ADP
ejpam-1847	499	10	each	each	DET
ejpam-1847	499	11	segment	segment	NOUN
ejpam-1847	499	12	to	to	PART
ejpam-1847	499	13	form	form	VERB
ejpam-1847	499	14	a	a	DET
ejpam-1847	499	15	sample	sample	NOUN
ejpam-1847	499	16	of	of	ADP
ejpam-1847	499	17	size	size	NOUN
ejpam-1847	499	18	100	100	NUM
ejpam-1847	499	19	,	,	PUNCT
ejpam-1847	499	20	we	we	PRON
ejpam-1847	499	21	use	use	VERB
ejpam-1847	499	22	all	all	DET
ejpam-1847	499	23	the	the	DET
ejpam-1847	499	24	1800	1800	NUM
ejpam-1847	499	25	models	model	NOUN
ejpam-1847	499	26	as	as	ADP
ejpam-1847	499	27	the	the	DET
ejpam-1847	499	28	sample	sample	NOUN
ejpam-1847	499	29	in	in	ADP
ejpam-1847	499	30	each	each	DET
ejpam-1847	499	31	sequence	sequence	NOUN
ejpam-1847	499	32	.	.	PUNCT
ejpam-1847	500	1	a	a	DET
ejpam-1847	500	2	p	p	ADJ
ejpam-1847	500	3	-	-	PUNCT
ejpam-1847	500	4	value	value	NOUN
ejpam-1847	500	5	being	be	AUX
ejpam-1847	500	6	greater	great	ADJ
ejpam-1847	500	7	than	than	ADP
ejpam-1847	500	8	0.5	0.5	NUM
ejpam-1847	500	9	is	be	AUX
ejpam-1847	500	10	obtained	obtain	VERB
ejpam-1847	500	11	,	,	PUNCT
ejpam-1847	500	12	suggesting	suggest	VERB
ejpam-1847	500	13	we	we	PRON
ejpam-1847	500	14	have	have	AUX
ejpam-1847	500	15	reached	reach	VERB
ejpam-1847	500	16	the	the	DET
ejpam-1847	500	17	equilibrium	equilibrium	NOUN
ejpam-1847	500	18	.	.	PUNCT
ejpam-1847	501	1	applying	apply	VERB
ejpam-1847	501	2	the	the	DET
ejpam-1847	501	3	model	model	NOUN
ejpam-1847	501	4	selection	selection	NOUN
ejpam-1847	501	5	methods	method	NOUN
ejpam-1847	501	6	proposed	propose	VERB
ejpam-1847	501	7	,	,	PUNCT
ejpam-1847	501	8	we	we	PRON
ejpam-1847	501	9	have	have	AUX
ejpam-1847	501	10	obtained	obtain	VERB
ejpam-1847	501	11	the	the	DET
ejpam-1847	501	12	results	result	NOUN
ejpam-1847	501	13	listed	list	VERB
ejpam-1847	501	14	in	in	ADP
ejpam-1847	501	15	table	table	NOUN
ejpam-1847	501	16	5	5	NUM
ejpam-1847	501	17	,	,	PUNCT
ejpam-1847	501	18	which	which	PRON
ejpam-1847	501	19	are	be	AUX
ejpam-1847	501	20	the	the	DET
ejpam-1847	501	21	sample	sample	NOUN
ejpam-1847	501	22	marginal	marginal	ADJ
ejpam-1847	501	23	probabilities	probability	NOUN
ejpam-1847	501	24	of	of	ADP
ejpam-1847	501	25	the	the	DET
ejpam-1847	501	26	components	component	NOUN
ejpam-1847	501	27	of	of	ADP
ejpam-1847	501	28	v	v	NUM
ejpam-1847	501	29	from	from	ADP
ejpam-1847	501	30	the	the	DET
ejpam-1847	501	31	1800	1800	NUM
ejpam-1847	501	32	models	model	NOUN
ejpam-1847	501	33	generated	generate	VERB
ejpam-1847	501	34	.	.	PUNCT
ejpam-1847	502	1	the	the	DET
ejpam-1847	502	2	sample	sample	NOUN
ejpam-1847	502	3	marginal	marginal	ADJ
ejpam-1847	502	4	probabilities	probability	NOUN
ejpam-1847	502	5	of	of	ADP
ejpam-1847	502	6	(	(	PUNCT
ejpam-1847	502	7	v0,1	v0,1	NOUN
ejpam-1847	502	8	,	,	PUNCT
ejpam-1847	502	9	v1,22	v1,22	NUM
ejpam-1847	502	10	,	,	PUNCT
ejpam-1847	502	11	v2,21	v2,21	NOUN
ejpam-1847	502	12	,	,	PUNCT
ejpam-1847	502	13	v2,22	v2,22	ADV
ejpam-1847	502	14	,	,	PUNCT
ejpam-1847	502	15	v4,11	v4,11	NOUN
ejpam-1847	502	16	,	,	PUNCT
ejpam-1847	502	17	v4,21	v4,21	NOUN
ejpam-1847	502	18	,	,	PUNCT
ejpam-1847	502	19	v4,22	v4,22	ADV
ejpam-1847	502	20	)	)	PUNCT
ejpam-1847	502	21	are	be	AUX
ejpam-1847	502	22	seen	see	VERB
ejpam-1847	502	23	to	to	PART
ejpam-1847	502	24	be	be	AUX
ejpam-1847	502	25	all	all	ADV
ejpam-1847	502	26	greater	great	ADJ
ejpam-1847	502	27	than	than	ADP
ejpam-1847	502	28	0.5	0.5	NUM
ejpam-1847	502	29	.	.	PUNCT
ejpam-1847	503	1	we	we	PRON
ejpam-1847	503	2	can	can	AUX
ejpam-1847	503	3	thus	thus	ADV
ejpam-1847	503	4	identify	identify	VERB
ejpam-1847	503	5	the	the	DET
ejpam-1847	503	6	best	good	ADJ
ejpam-1847	503	7	model	model	NOUN
ejpam-1847	503	8	as	as	ADP
ejpam-1847	503	9	�	�	PROPN
ejpam-1847	503	10	1	1	NUM
ejpam-1847	503	11	0	0	NUM
ejpam-1847	503	12	0	0	NUM
ejpam-1847	503	13	0	0	NUM
ejpam-1847	503	14	0	0	NUM
ejpam-1847	503	15	0	0	NUM
ejpam-1847	503	16	0	0	NUM
ejpam-1847	503	17	1	1	NUM
ejpam-1847	503	18	0	0	NUM
ejpam-1847	503	19	0	0	NUM
ejpam-1847	503	20	0	0	NUM
ejpam-1847	503	21	1	1	NUM
ejpam-1847	503	22	1	1	NUM
ejpam-1847	503	23	1	1	NUM
ejpam-1847	503	24	0	0	NUM
ejpam-1847	503	25	0	0	NUM
ejpam-1847	503	26	1	1	NUM
ejpam-1847	503	27	1	1	NUM
ejpam-1847	503	28	�	�	PROPN
ejpam-1847	503	29	,	,	PUNCT
ejpam-1847	503	30	and	and	CCONJ
ejpam-1847	503	31	have	have	VERB
ejpam-1847	503	32	an	an	DET
ejpam-1847	503	33	aic	aic	PROPN
ejpam-1847	503	34	value	value	NOUN
ejpam-1847	503	35	307.4237	307.4237	NUM
ejpam-1847	503	36	.	.	PUNCT
ejpam-1847	504	1	after	after	ADP
ejpam-1847	504	2	estimating	estimate	VERB
ejpam-1847	504	3	the	the	DET
ejpam-1847	504	4	coefficients	coefficient	NOUN
ejpam-1847	504	5	using	use	VERB
ejpam-1847	504	6	the	the	DET
ejpam-1847	504	7	mle	mle	NOUN
ejpam-1847	504	8	the	the	DET
ejpam-1847	504	9	estimated	estimate	VERB
ejpam-1847	504	10	var	var	NOUN
ejpam-1847	504	11	model	model	NOUN
ejpam-1847	504	12	is	be	AUX
ejpam-1847	504	13	dm2r=−	dm2r=−	NOUN
ejpam-1847	504	14	0.505−	0.505−	NOUN
ejpam-1847	504	15	0.522×dm2r(−4	0.522×dm2r(−4	NUM
ejpam-1847	504	16	)	)	PUNCT
ejpam-1847	504	17	dcpi=0.377×dcpi(−1)−	dcpi=0.377×dcpi(−1)−	ADJ
ejpam-1847	504	18	0.169×dm2r(−2	0.169×dm2r(−2	NUM
ejpam-1847	504	19	)	)	PUNCT
ejpam-1847	505	1	+	+	NUM
ejpam-1847	505	2	0.476×dcpi(−2	0.476×dcpi(−2	NUM
ejpam-1847	505	3	)	)	PUNCT
ejpam-1847	506	1	+	+	CCONJ
ejpam-1847	506	2	0.197×dm2r(−4)−	0.197×dm2r(−4)−	PROPN
ejpam-1847	506	3	0.507×dcpi(−4	0.507×dcpi(−4	NUM
ejpam-1847	506	4	)	)	PUNCT
ejpam-1847	506	5	where	where	SCONJ
ejpam-1847	506	6	dm2r(−4	dm2r(−4	NOUN
ejpam-1847	506	7	)	)	PUNCT
ejpam-1847	506	8	is	be	AUX
ejpam-1847	506	9	the	the	DET
ejpam-1847	506	10	lag	lag	NOUN
ejpam-1847	506	11	4	4	NUM
ejpam-1847	506	12	observation	observation	NOUN
ejpam-1847	506	13	of	of	ADP
ejpam-1847	506	14	dm2r	dm2r	PROPN
ejpam-1847	506	15	and	and	CCONJ
ejpam-1847	506	16	the	the	DET
ejpam-1847	506	17	other	other	ADJ
ejpam-1847	506	18	terms	term	NOUN
ejpam-1847	506	19	are	be	AUX
ejpam-1847	506	20	similarly	similarly	ADV
ejpam-1847	506	21	defined	define	VERB
ejpam-1847	506	22	.	.	PUNCT
ejpam-1847	507	1	table	table	NOUN
ejpam-1847	507	2	5	5	NUM
ejpam-1847	507	3	:	:	PUNCT
ejpam-1847	507	4	sample	sample	NOUN
ejpam-1847	507	5	marginal	marginal	ADJ
ejpam-1847	507	6	probabilities	probability	NOUN
ejpam-1847	507	7	of	of	ADP
ejpam-1847	507	8	v	v	NOUN
ejpam-1847	507	9	in	in	ADP
ejpam-1847	507	10	example	example	NOUN
ejpam-1847	507	11	2	2	NUM
ejpam-1847	507	12	among	among	ADP
ejpam-1847	507	13	m1	m1	PROPN
ejpam-1847	507	14	to	to	ADP
ejpam-1847	507	15	m1800	m1800	PROPN
ejpam-1847	507	16	(	(	PUNCT
ejpam-1847	507	17	v	v	NOUN
ejpam-1847	507	18	)	)	PUNCT
ejpam-1847	507	19	0	0	NUM
ejpam-1847	507	20	,	,	PUNCT
ejpam-1847	507	21	j	j	PROPN
ejpam-1847	507	22	(	(	PUNCT
ejpam-1847	507	23	v	v	NOUN
ejpam-1847	507	24	)	)	PUNCT
ejpam-1847	507	25	1	1	NUM
ejpam-1847	507	26	,	,	PUNCT
ejpam-1847	507	27	jk	jk	PROPN
ejpam-1847	507	28	(	(	PUNCT
ejpam-1847	507	29	v	v	NOUN
ejpam-1847	507	30	)	)	PUNCT
ejpam-1847	507	31	2	2	NUM
ejpam-1847	507	32	,	,	PUNCT
ejpam-1847	507	33	jk	jk	PROPN
ejpam-1847	507	34	(	(	PUNCT
ejpam-1847	507	35	v	v	NOUN
ejpam-1847	507	36	)	)	PUNCT
ejpam-1847	507	37	3	3	NUM
ejpam-1847	507	38	,	,	PUNCT
ejpam-1847	507	39	jk	jk	PROPN
ejpam-1847	507	40	(	(	PUNCT
ejpam-1847	507	41	v	v	NOUN
ejpam-1847	507	42	)	)	PUNCT
ejpam-1847	507	43	4	4	NUM
ejpam-1847	507	44	,	,	PUNCT
ejpam-1847	508	1	jk	jk	PROPN
ejpam-1847	508	2	k	k	PROPN
ejpam-1847	508	3	=	=	PUNCT
ejpam-1847	509	1	1	1	NUM
ejpam-1847	509	2	k	k	NOUN
ejpam-1847	509	3	=	=	SYM
ejpam-1847	509	4	2	2	NUM
ejpam-1847	509	5	k	k	NOUN
ejpam-1847	509	6	=	=	SYM
ejpam-1847	509	7	1	1	NUM
ejpam-1847	509	8	k	k	NOUN
ejpam-1847	509	9	=	=	SYM
ejpam-1847	509	10	2	2	NUM
ejpam-1847	509	11	k	k	NOUN
ejpam-1847	509	12	=	=	SYM
ejpam-1847	509	13	1	1	NUM
ejpam-1847	509	14	k	k	NOUN
ejpam-1847	509	15	=	=	SYM
ejpam-1847	509	16	2	2	NUM
ejpam-1847	509	17	k	k	NOUN
ejpam-1847	509	18	=	=	SYM
ejpam-1847	509	19	1	1	NUM
ejpam-1847	509	20	k	k	NOUN
ejpam-1847	509	21	=	=	SYM
ejpam-1847	509	22	2	2	NUM
ejpam-1847	509	23	j	j	NOUN
ejpam-1847	509	24	=	=	SYM
ejpam-1847	509	25	1	1	NUM
ejpam-1847	509	26	0.590	0.590	NUM
ejpam-1847	509	27	0.250	0.250	NUM
ejpam-1847	509	28	0.259	0.259	NUM
ejpam-1847	509	29	0.280	0.280	NUM
ejpam-1847	509	30	0.228	0.228	NUM
ejpam-1847	509	31	0.440	0.440	NUM
ejpam-1847	509	32	0.100	0.100	NUM
ejpam-1847	509	33	1.000	1.000	NUM
ejpam-1847	509	34	0.326	0.326	NUM
ejpam-1847	509	35	j	j	NOUN
ejpam-1847	509	36	=	=	SYM
ejpam-1847	509	37	2	2	NUM
ejpam-1847	509	38	0.315	0.315	NUM
ejpam-1847	509	39	0.270	0.270	NUM
ejpam-1847	509	40	1.000	1.000	NUM
ejpam-1847	509	41	0.980	0.980	NUM
ejpam-1847	509	42	1.000	1.000	NUM
ejpam-1847	509	43	0.230	0.230	NUM
ejpam-1847	509	44	0.378	0.378	NUM
ejpam-1847	509	45	1.000	1.000	NUM
ejpam-1847	509	46	1.000	1.000	NUM
ejpam-1847	509	47	from	from	ADP
ejpam-1847	509	48	this	this	DET
ejpam-1847	509	49	subset	subset	NOUN
ejpam-1847	509	50	var	var	NOUN
ejpam-1847	509	51	model	model	NOUN
ejpam-1847	509	52	we	we	PRON
ejpam-1847	509	53	see	see	VERB
ejpam-1847	509	54	that	that	SCONJ
ejpam-1847	509	55	the	the	DET
ejpam-1847	509	56	regressors	regressor	NOUN
ejpam-1847	509	57	in	in	ADP
ejpam-1847	509	58	the	the	DET
ejpam-1847	509	59	dm2r	dm2r	NOUN
ejpam-1847	509	60	equation	equation	NOUN
ejpam-1847	509	61	consist	consist	NOUN
ejpam-1847	509	62	of	of	ADP
ejpam-1847	509	63	only	only	ADJ
ejpam-1847	509	64	lags	lag	NOUN
ejpam-1847	509	65	of	of	ADP
ejpam-1847	509	66	dm2r	dm2r	PROPN
ejpam-1847	509	67	;	;	PUNCT
ejpam-1847	509	68	but	but	CCONJ
ejpam-1847	509	69	the	the	DET
ejpam-1847	509	70	regressors	regressor	NOUN
ejpam-1847	509	71	in	in	ADP
ejpam-1847	509	72	the	the	DET
ejpam-1847	509	73	second	second	ADJ
ejpam-1847	509	74	equation	equation	NOUN
ejpam-1847	509	75	consist	consist	NOUN
ejpam-1847	509	76	of	of	ADP
ejpam-1847	509	77	the	the	DET
ejpam-1847	509	78	lags	lag	NOUN
ejpam-1847	509	79	of	of	ADP
ejpam-1847	509	80	both	both	DET
ejpam-1847	509	81	dm2r	dm2r	NOUN
ejpam-1847	509	82	and	and	CCONJ
ejpam-1847	509	83	dcpi	dcpi	NOUN
ejpam-1847	509	84	.	.	PUNCT
ejpam-1847	510	1	this	this	PRON
ejpam-1847	510	2	seems	seem	VERB
ejpam-1847	510	3	to	to	PART
ejpam-1847	510	4	suggest	suggest	VERB
ejpam-1847	510	5	that	that	SCONJ
ejpam-1847	510	6	the	the	DET
ejpam-1847	510	7	fluctuations	fluctuation	NOUN
ejpam-1847	510	8	of	of	ADP
ejpam-1847	510	9	the	the	DET
ejpam-1847	510	10	growth	growth	NOUN
ejpam-1847	510	11	rate	rate	NOUN
ejpam-1847	510	12	of	of	ADP
ejpam-1847	510	13	money	money	NOUN
ejpam-1847	510	14	supply	supply	NOUN
ejpam-1847	510	15	seems	seem	VERB
ejpam-1847	510	16	lead	lead	VERB
ejpam-1847	510	17	to	to	ADP
ejpam-1847	510	18	the	the	DET
ejpam-1847	510	19	fluctuations	fluctuation	NOUN
ejpam-1847	510	20	of	of	ADP
ejpam-1847	510	21	inflation	inflation	NOUN
ejpam-1847	510	22	rate	rate	NOUN
ejpam-1847	510	23	,	,	PUNCT
ejpam-1847	510	24	rather	rather	ADV
ejpam-1847	510	25	than	than	ADP
ejpam-1847	510	26	the	the	DET
ejpam-1847	510	27	other	other	ADJ
ejpam-1847	510	28	way	way	NOUN
ejpam-1847	510	29	around	around	ADV
ejpam-1847	510	30	.	.	PUNCT
ejpam-1847	511	1	references	reference	NOUN
ejpam-1847	511	2	19	19	NUM
ejpam-1847	511	3	6	6	NUM
ejpam-1847	511	4	.	.	PUNCT
ejpam-1847	512	1	conclusion	conclusion	NOUN
ejpam-1847	512	2	in	in	ADP
ejpam-1847	512	3	this	this	DET
ejpam-1847	512	4	paper	paper	NOUN
ejpam-1847	512	5	we	we	PRON
ejpam-1847	512	6	propose	propose	VERB
ejpam-1847	512	7	a	a	DET
ejpam-1847	512	8	gibbs	gibbs	PROPN
ejpam-1847	512	9	sampler	sampler	NOUN
ejpam-1847	512	10	algorithm	algorithm	NOUN
ejpam-1847	512	11	for	for	ADP
ejpam-1847	512	12	subset	subset	ADJ
ejpam-1847	512	13	var	var	PROPN
ejpam-1847	512	14	model	model	NOUN
ejpam-1847	512	15	selection	selection	NOUN
ejpam-1847	512	16	involving	involve	VERB
ejpam-1847	512	17	a	a	DET
ejpam-1847	512	18	large	large	ADJ
ejpam-1847	512	19	number	number	NOUN
ejpam-1847	512	20	of	of	ADP
ejpam-1847	512	21	candidate	candidate	NOUN
ejpam-1847	512	22	models	model	NOUN
ejpam-1847	512	23	.	.	PUNCT
ejpam-1847	513	1	this	this	DET
ejpam-1847	513	2	computing	computing	NOUN
ejpam-1847	513	3	method	method	NOUN
ejpam-1847	513	4	is	be	AUX
ejpam-1847	513	5	very	very	ADV
ejpam-1847	513	6	useful	useful	ADJ
ejpam-1847	513	7	in	in	ADP
ejpam-1847	513	8	subset	subset	ADJ
ejpam-1847	513	9	var	var	PROPN
ejpam-1847	513	10	model	model	NOUN
ejpam-1847	513	11	selection	selection	NOUN
ejpam-1847	513	12	but	but	CCONJ
ejpam-1847	513	13	has	have	AUX
ejpam-1847	513	14	not	not	PART
ejpam-1847	513	15	been	be	AUX
ejpam-1847	513	16	well	well	ADV
ejpam-1847	513	17	studied	study	VERB
ejpam-1847	513	18	before	before	ADV
ejpam-1847	513	19	.	.	PUNCT
ejpam-1847	514	1	the	the	DET
ejpam-1847	514	2	key	key	ADJ
ejpam-1847	514	3	feature	feature	NOUN
ejpam-1847	514	4	of	of	ADP
ejpam-1847	514	5	our	our	PRON
ejpam-1847	514	6	proposed	propose	VERB
ejpam-1847	514	7	method	method	NOUN
ejpam-1847	514	8	is	be	AUX
ejpam-1847	514	9	that	that	SCONJ
ejpam-1847	514	10	we	we	PRON
ejpam-1847	514	11	can	can	AUX
ejpam-1847	514	12	generate	generate	VERB
ejpam-1847	514	13	a	a	DET
ejpam-1847	514	14	series	series	NOUN
ejpam-1847	514	15	of	of	ADP
ejpam-1847	514	16	candidate	candidate	NOUN
ejpam-1847	514	17	models	model	NOUN
ejpam-1847	514	18	from	from	ADP
ejpam-1847	514	19	an	an	DET
ejpam-1847	514	20	induced	induced	ADJ
ejpam-1847	514	21	probability	probability	NOUN
ejpam-1847	514	22	distribution	distribution	NOUN
ejpam-1847	514	23	in	in	ADP
ejpam-1847	514	24	such	such	DET
ejpam-1847	514	25	a	a	DET
ejpam-1847	514	26	way	way	NOUN
ejpam-1847	514	27	that	that	PRON
ejpam-1847	514	28	the	the	DET
ejpam-1847	514	29	best	good	ADJ
ejpam-1847	514	30	model	model	NOUN
ejpam-1847	514	31	will	will	AUX
ejpam-1847	514	32	tend	tend	VERB
ejpam-1847	514	33	to	to	PART
ejpam-1847	514	34	appear	appear	VERB
ejpam-1847	514	35	among	among	ADP
ejpam-1847	514	36	the	the	DET
ejpam-1847	514	37	earliest	early	ADJ
ejpam-1847	514	38	and	and	CCONJ
ejpam-1847	514	39	the	the	DET
ejpam-1847	514	40	most	most	ADV
ejpam-1847	514	41	frequent	frequent	ADJ
ejpam-1847	514	42	if	if	SCONJ
ejpam-1847	514	43	the	the	DET
ejpam-1847	514	44	number	number	NOUN
ejpam-1847	514	45	of	of	ADP
ejpam-1847	514	46	the	the	DET
ejpam-1847	514	47	models	model	NOUN
ejpam-1847	514	48	generated	generate	VERB
ejpam-1847	514	49	is	be	AUX
ejpam-1847	514	50	large	large	ADJ
ejpam-1847	514	51	enough	enough	ADV
ejpam-1847	514	52	.	.	PUNCT
ejpam-1847	515	1	we	we	PRON
ejpam-1847	515	2	have	have	AUX
ejpam-1847	515	3	developed	develop	VERB
ejpam-1847	515	4	several	several	ADJ
ejpam-1847	515	5	empirical	empirical	ADJ
ejpam-1847	515	6	solutions	solution	NOUN
ejpam-1847	515	7	to	to	PART
ejpam-1847	515	8	tackle	tackle	VERB
ejpam-1847	515	9	various	various	ADJ
ejpam-1847	515	10	complications	complication	NOUN
ejpam-1847	515	11	that	that	PRON
ejpam-1847	515	12	may	may	AUX
ejpam-1847	515	13	be	be	AUX
ejpam-1847	515	14	encountered	encounter	VERB
ejpam-1847	515	15	in	in	ADP
ejpam-1847	515	16	practice	practice	NOUN
ejpam-1847	515	17	.	.	PUNCT
ejpam-1847	516	1	it	it	PRON
ejpam-1847	516	2	shows	show	VERB
ejpam-1847	516	3	that	that	SCONJ
ejpam-1847	516	4	the	the	DET
ejpam-1847	516	5	method	method	NOUN
ejpam-1847	516	6	is	be	AUX
ejpam-1847	516	7	computationally	computationally	ADV
ejpam-1847	516	8	feasible	feasible	ADJ
ejpam-1847	516	9	and	and	CCONJ
ejpam-1847	516	10	effective	effective	ADJ
ejpam-1847	516	11	in	in	ADP
ejpam-1847	516	12	dealing	deal	VERB
ejpam-1847	516	13	with	with	ADP
ejpam-1847	516	14	these	these	DET
ejpam-1847	516	15	difficulties	difficulty	NOUN
ejpam-1847	516	16	.	.	PUNCT
ejpam-1847	517	1	acknowledgements	acknowledgement	NOUN
ejpam-1847	517	2	the	the	DET
ejpam-1847	517	3	project	project	NOUN
ejpam-1847	517	4	underlying	underlie	VERB
ejpam-1847	517	5	this	this	DET
ejpam-1847	517	6	paper	paper	NOUN
ejpam-1847	517	7	is	be	AUX
ejpam-1847	517	8	supported	support	VERB
ejpam-1847	517	9	by	by	ADP
ejpam-1847	517	10	the	the	DET
ejpam-1847	517	11	international	international	ADJ
ejpam-1847	517	12	cooperation	cooperation	NOUN
ejpam-1847	517	13	and	and	CCONJ
ejpam-1847	517	14	exchange	exchange	NOUN
ejpam-1847	517	15	program	program	NOUN
ejpam-1847	517	16	of	of	ADP
ejpam-1847	517	17	national	national	ADJ
ejpam-1847	517	18	natural	natural	PROPN
ejpam-1847	517	19	science	science	PROPN
ejpam-1847	517	20	foundation	foundation	PROPN
ejpam-1847	517	21	of	of	ADP
ejpam-1847	517	22	china	china	PROPN
ejpam-1847	517	23	(	(	PUNCT
ejpam-1847	517	24	nsfc	nsfc	PROPN
ejpam-1847	517	25	)	)	PUNCT
ejpam-1847	517	26	(	(	PUNCT
ejpam-1847	517	27	grant	grant	PROPN
ejpam-1847	517	28	no.71301070002	no.71301070002	PROPN
ejpam-1847	517	29	)	)	PUNCT
ejpam-1847	517	30	.	.	PUNCT
ejpam-1847	518	1	references	reference	NOUN
ejpam-1847	518	2	[	[	X
ejpam-1847	518	3	1	1	NUM
ejpam-1847	518	4	]	]	X
ejpam-1847	518	5	h.	h.	NOUN
ejpam-1847	518	6	akaike	akaike	PROPN
ejpam-1847	518	7	.	.	PUNCT
ejpam-1847	519	1	information	information	NOUN
ejpam-1847	519	2	theory	theory	NOUN
ejpam-1847	519	3	and	and	CCONJ
ejpam-1847	519	4	an	an	DET
ejpam-1847	519	5	extension	extension	NOUN
ejpam-1847	519	6	of	of	ADP
ejpam-1847	519	7	the	the	DET
ejpam-1847	519	8	maximum	maximum	ADJ
ejpam-1847	519	9	likelihood	likelihood	NOUN
ejpam-1847	519	10	principle	principle	NOUN
ejpam-1847	519	11	.	.	PUNCT
ejpam-1847	520	1	in	in	ADP
ejpam-1847	520	2	b.n	b.n	PROPN
ejpam-1847	520	3	.	.	PROPN
ejpam-1847	520	4	petrov	petrov	PROPN
ejpam-1847	520	5	and	and	CCONJ
ejpam-1847	520	6	f.	f.	PROPN
ejpam-1847	520	7	csáki	csáki	PROPN
ejpam-1847	520	8	,	,	PUNCT
ejpam-1847	520	9	editors	editor	NOUN
ejpam-1847	520	10	,	,	PUNCT
ejpam-1847	520	11	proceedings	proceeding	NOUN
ejpam-1847	520	12	of	of	ADP
ejpam-1847	520	13	second	second	ADJ
ejpam-1847	520	14	international	international	ADJ
ejpam-1847	520	15	symposium	symposium	NOUN
ejpam-1847	520	16	on	on	ADP
ejpam-1847	520	17	information	information	NOUN
ejpam-1847	520	18	theory	theory	NOUN
ejpam-1847	520	19	,	,	PUNCT
ejpam-1847	520	20	pages	page	NOUN
ejpam-1847	520	21	267–281	267–281	NUM
ejpam-1847	520	22	,	,	PUNCT
ejpam-1847	520	23	budapest	budapest	NOUN
ejpam-1847	520	24	,	,	PUNCT
ejpam-1847	520	25	1973	1973	NUM
ejpam-1847	520	26	.	.	PUNCT
ejpam-1847	521	1	académiai	académiai	PROPN
ejpam-1847	521	2	kiadó	kiadó	PROPN
ejpam-1847	521	3	.	.	PUNCT
ejpam-1847	522	1	[	[	X
ejpam-1847	522	2	2	2	X
ejpam-1847	522	3	]	]	X
ejpam-1847	522	4	h.	h.	NOUN
ejpam-1847	522	5	akaike	akaike	PROPN
ejpam-1847	522	6	.	.	PUNCT
ejpam-1847	523	1	a	a	DET
ejpam-1847	523	2	bayesian	bayesian	NOUN
ejpam-1847	523	3	analysis	analysis	NOUN
ejpam-1847	523	4	of	of	ADP
ejpam-1847	523	5	minimum	minimum	ADJ
ejpam-1847	523	6	aic	aic	PROPN
ejpam-1847	523	7	procedure	procedure	NOUN
ejpam-1847	523	8	.	.	PUNCT
ejpam-1847	524	1	annals	annal	NOUN
ejpam-1847	524	2	of	of	ADP
ejpam-1847	524	3	the	the	DET
ejpam-1847	524	4	institute	institute	NOUN
ejpam-1847	524	5	of	of	ADP
ejpam-1847	524	6	statistical	statistical	ADJ
ejpam-1847	524	7	mathematics	mathematic	NOUN
ejpam-1847	524	8	,	,	PUNCT
ejpam-1847	524	9	30(part	30(part	NUM
ejpam-1847	524	10	a):9–14	a):9–14	PROPN
ejpam-1847	524	11	,	,	PUNCT
ejpam-1847	524	12	1978	1978	NUM
ejpam-1847	524	13	.	.	PUNCT
ejpam-1847	525	1	[	[	X
ejpam-1847	525	2	3	3	X
ejpam-1847	525	3	]	]	PUNCT
ejpam-1847	525	4	r.	r.	PROPN
ejpam-1847	525	5	g.	g.	PROPN
ejpam-1847	525	6	anderson	anderson	PROPN
ejpam-1847	525	7	,	,	PUNCT
ejpam-1847	525	8	d.	d.	PROPN
ejpam-1847	525	9	l.	l.	PROPN
ejpam-1847	525	10	hoffman	hoffman	PROPN
ejpam-1847	525	11	,	,	PUNCT
ejpam-1847	525	12	and	and	CCONJ
ejpam-1847	525	13	r.	r.	PROPN
ejpam-1847	525	14	h.	h.	PROPN
ejpam-1847	525	15	rasche	rasche	PROPN
ejpam-1847	525	16	.	.	PUNCT
ejpam-1847	526	1	a	a	DET
ejpam-1847	526	2	vector	vector	NOUN
ejpam-1847	526	3	error	error	NOUN
ejpam-1847	526	4	-	-	PUNCT
ejpam-1847	526	5	correction	correction	NOUN
ejpam-1847	526	6	forecasting	forecasting	NOUN
ejpam-1847	526	7	model	model	NOUN
ejpam-1847	526	8	of	of	ADP
ejpam-1847	526	9	the	the	DET
ejpam-1847	526	10	us	us	PROPN
ejpam-1847	526	11	economy	economy	NOUN
ejpam-1847	526	12	.	.	PUNCT
ejpam-1847	527	1	journal	journal	PROPN
ejpam-1847	527	2	of	of	ADP
ejpam-1847	527	3	macroeconomics	macroeconomic	NOUN
ejpam-1847	527	4	,	,	PUNCT
ejpam-1847	527	5	24:569–598	24:569–598	NUM
ejpam-1847	527	6	,	,	PUNCT
ejpam-1847	527	7	2002	2002	NUM
ejpam-1847	527	8	.	.	PUNCT
ejpam-1847	528	1	[	[	X
ejpam-1847	528	2	4	4	X
ejpam-1847	528	3	]	]	X
ejpam-1847	528	4	p.	p.	NOUN
ejpam-1847	528	5	bearse	bearse	PROPN
ejpam-1847	528	6	and	and	CCONJ
ejpam-1847	528	7	h.	h.	PROPN
ejpam-1847	528	8	bozdogan	bozdogan	PROPN
ejpam-1847	528	9	.	.	PUNCT
ejpam-1847	529	1	subset	subset	ADJ
ejpam-1847	529	2	selection	selection	NOUN
ejpam-1847	529	3	in	in	ADP
ejpam-1847	529	4	vector	vector	NOUN
ejpam-1847	529	5	autoregressive	autoregressive	ADJ
ejpam-1847	529	6	models	model	NOUN
ejpam-1847	529	7	using	use	VERB
ejpam-1847	529	8	the	the	DET
ejpam-1847	529	9	genetic	genetic	ADJ
ejpam-1847	529	10	algorithm	algorithm	NOUN
ejpam-1847	529	11	with	with	ADP
ejpam-1847	529	12	informational	informational	ADJ
ejpam-1847	529	13	complexity	complexity	NOUN
ejpam-1847	529	14	as	as	ADP
ejpam-1847	529	15	the	the	DET
ejpam-1847	529	16	fitness	fitness	NOUN
ejpam-1847	529	17	function	function	NOUN
ejpam-1847	529	18	.	.	PUNCT
ejpam-1847	530	1	systems	system	NOUN
ejpam-1847	530	2	analysis	analysis	NOUN
ejpam-1847	530	3	modelling	model	VERB
ejpam-1847	530	4	simulation	simulation	NOUN
ejpam-1847	530	5	,	,	PUNCT
ejpam-1847	530	6	31:61–91	31:61–91	NUM
ejpam-1847	530	7	,	,	PUNCT
ejpam-1847	530	8	1998	1998	NUM
ejpam-1847	530	9	.	.	PUNCT
ejpam-1847	531	1	[	[	X
ejpam-1847	531	2	5	5	X
ejpam-1847	531	3	]	]	PUNCT
ejpam-1847	531	4	b.	b.	PROPN
ejpam-1847	531	5	s.	s.	PROPN
ejpam-1847	531	6	bernanke	bernanke	PROPN
ejpam-1847	531	7	,	,	PUNCT
ejpam-1847	531	8	n.	n.	PROPN
ejpam-1847	531	9	olekalns	olekalns	PROPN
ejpam-1847	531	10	,	,	PUNCT
ejpam-1847	531	11	and	and	CCONJ
ejpam-1847	531	12	r.	r.	PROPN
ejpam-1847	531	13	h.	h.	PROPN
ejpam-1847	531	14	frank	frank	PROPN
ejpam-1847	531	15	.	.	PUNCT
ejpam-1847	532	1	principles	principle	NOUN
ejpam-1847	532	2	of	of	ADP
ejpam-1847	532	3	macroeconomics	macroeconomic	NOUN
ejpam-1847	532	4	.	.	PUNCT
ejpam-1847	533	1	mcgraw	mcgraw	PROPN
ejpam-1847	533	2	-	-	PUNCT
ejpam-1847	533	3	hill	hill	PROPN
ejpam-1847	533	4	australia	australia	PROPN
ejpam-1847	533	5	,	,	PUNCT
ejpam-1847	533	6	north	north	PROPN
ejpam-1847	533	7	ryde	ryde	PROPN
ejpam-1847	533	8	,	,	PUNCT
ejpam-1847	533	9	nsw	nsw	PROPN
ejpam-1847	533	10	,	,	PUNCT
ejpam-1847	533	11	2005	2005	NUM
ejpam-1847	533	12	.	.	PUNCT
ejpam-1847	534	1	[	[	X
ejpam-1847	534	2	6	6	NUM
ejpam-1847	534	3	]	]	PUNCT
ejpam-1847	534	4	s.	s.	PROPN
ejpam-1847	534	5	p.	p.	PROPN
ejpam-1847	534	6	brooks	brooks	PROPN
ejpam-1847	534	7	,	,	PUNCT
ejpam-1847	534	8	n.	n.	PROPN
ejpam-1847	534	9	friel	friel	PROPN
ejpam-1847	534	10	,	,	PUNCT
ejpam-1847	534	11	and	and	CCONJ
ejpam-1847	534	12	r.	r.	PROPN
ejpam-1847	534	13	king	king	PROPN
ejpam-1847	534	14	.	.	PUNCT
ejpam-1847	535	1	classical	classical	ADJ
ejpam-1847	535	2	model	model	NOUN
ejpam-1847	535	3	selection	selection	NOUN
ejpam-1847	535	4	via	via	ADP
ejpam-1847	535	5	simulated	simulated	ADJ
ejpam-1847	535	6	annealing	annealing	NOUN
ejpam-1847	535	7	.	.	PUNCT
ejpam-1847	536	1	journal	journal	NOUN
ejpam-1847	536	2	of	of	ADP
ejpam-1847	536	3	the	the	DET
ejpam-1847	536	4	royal	royal	ADJ
ejpam-1847	536	5	statistical	statistical	ADJ
ejpam-1847	536	6	society	society	NOUN
ejpam-1847	536	7	series	series	PROPN
ejpam-1847	536	8	b	b	PROPN
ejpam-1847	536	9	statistical	statistical	ADJ
ejpam-1847	536	10	methodology	methodology	NOUN
ejpam-1847	536	11	,	,	PUNCT
ejpam-1847	536	12	65:503–520	65:503–520	PROPN
ejpam-1847	536	13	,	,	PUNCT
ejpam-1847	536	14	2003	2003	NUM
ejpam-1847	536	15	.	.	PUNCT
ejpam-1847	537	1	[	[	X
ejpam-1847	537	2	7	7	X
ejpam-1847	537	3	]	]	X
ejpam-1847	537	4	g.	g.	NOUN
ejpam-1847	537	5	casella	casella	PROPN
ejpam-1847	537	6	and	and	CCONJ
ejpam-1847	537	7	e.i	e.i	PROPN
ejpam-1847	537	8	.	.	PROPN
ejpam-1847	537	9	george	george	PROPN
ejpam-1847	537	10	.	.	PUNCT
ejpam-1847	538	1	explaining	explain	VERB
ejpam-1847	538	2	the	the	DET
ejpam-1847	538	3	gibbs	gibbs	PROPN
ejpam-1847	538	4	sampler	sampler	NOUN
ejpam-1847	538	5	.	.	PUNCT
ejpam-1847	539	1	the	the	DET
ejpam-1847	539	2	american	american	PROPN
ejpam-1847	539	3	statistician	statistician	PROPN
ejpam-1847	539	4	,	,	PUNCT
ejpam-1847	539	5	46(3):167–174	46(3):167–174	NUM
ejpam-1847	539	6	,	,	PUNCT
ejpam-1847	539	7	1992	1992	NUM
ejpam-1847	539	8	.	.	PUNCT
ejpam-1847	540	1	[	[	X
ejpam-1847	540	2	8	8	NUM
ejpam-1847	540	3	]	]	PUNCT
ejpam-1847	540	4	m.	m.	PROPN
ejpam-1847	540	5	k.	k.	PROPN
ejpam-1847	540	6	clayton	clayton	PROPN
ejpam-1847	540	7	,	,	PUNCT
ejpam-1847	540	8	s.	s.	PROPN
ejpam-1847	540	9	geisser	geisser	PROPN
ejpam-1847	540	10	,	,	PUNCT
ejpam-1847	540	11	and	and	CCONJ
ejpam-1847	540	12	d.	d.	PROPN
ejpam-1847	540	13	e.	e.	PROPN
ejpam-1847	540	14	jennings	jennings	PROPN
ejpam-1847	540	15	.	.	PUNCT
ejpam-1847	541	1	a	a	DET
ejpam-1847	541	2	comparison	comparison	NOUN
ejpam-1847	541	3	of	of	ADP
ejpam-1847	541	4	several	several	ADJ
ejpam-1847	541	5	model	model	NOUN
ejpam-1847	541	6	selection	selection	NOUN
ejpam-1847	541	7	procedures	procedure	NOUN
ejpam-1847	541	8	.	.	PUNCT
ejpam-1847	542	1	in	in	ADP
ejpam-1847	542	2	p.	p.	PROPN
ejpam-1847	542	3	goel	goel	PROPN
ejpam-1847	542	4	and	and	CCONJ
ejpam-1847	542	5	a.	a.	NOUN
ejpam-1847	542	6	zellner	zellner	NOUN
ejpam-1847	542	7	,	,	PUNCT
ejpam-1847	542	8	editors	editor	NOUN
ejpam-1847	542	9	,	,	PUNCT
ejpam-1847	542	10	bayesian	bayesian	NOUN
ejpam-1847	542	11	inference	inference	NOUN
ejpam-1847	542	12	and	and	CCONJ
ejpam-1847	542	13	decision	decision	NOUN
ejpam-1847	542	14	techniques	technique	NOUN
ejpam-1847	542	15	,	,	PUNCT
ejpam-1847	542	16	pages	page	NOUN
ejpam-1847	542	17	199–212	199–212	NUM
ejpam-1847	542	18	.	.	PUNCT
ejpam-1847	543	1	elsevier	elsevier	PROPN
ejpam-1847	543	2	science	science	PROPN
ejpam-1847	543	3	,	,	PUNCT
ejpam-1847	543	4	new	new	PROPN
ejpam-1847	543	5	york	york	PROPN
ejpam-1847	543	6	,	,	PUNCT
ejpam-1847	543	7	usa	usa	PROPN
ejpam-1847	543	8	,	,	PUNCT
ejpam-1847	543	9	1986	1986	NUM
ejpam-1847	543	10	.	.	PUNCT
ejpam-1847	543	11	references	reference	NOUN
ejpam-1847	543	12	20	20	NUM
ejpam-1847	543	13	[	[	X
ejpam-1847	543	14	9	9	NUM
ejpam-1847	543	15	]	]	X
ejpam-1847	543	16	j.	j.	PROPN
ejpam-1847	543	17	cui	cui	PROPN
ejpam-1847	543	18	,	,	PUNCT
ejpam-1847	543	19	d.	d.	PROPN
ejpam-1847	543	20	pitt	pitt	PROPN
ejpam-1847	543	21	,	,	PUNCT
ejpam-1847	543	22	and	and	CCONJ
ejpam-1847	543	23	g.	g.	PROPN
ejpam-1847	543	24	qian	qian	PROPN
ejpam-1847	543	25	.	.	PUNCT
ejpam-1847	544	1	model	model	NOUN
ejpam-1847	544	2	selection	selection	NOUN
ejpam-1847	544	3	and	and	CCONJ
ejpam-1847	544	4	claim	claim	NOUN
ejpam-1847	544	5	frequency	frequency	NOUN
ejpam-1847	544	6	for	for	ADP
ejpam-1847	544	7	workers	worker	NOUN
ejpam-1847	544	8	’	’	PART
ejpam-1847	544	9	compensation	compensation	NOUN
ejpam-1847	544	10	insurance	insurance	NOUN
ejpam-1847	544	11	.	.	PUNCT
ejpam-1847	545	1	astin	astin	PROPN
ejpam-1847	545	2	bulletin	bulletin	PROPN
ejpam-1847	545	3	–	–	PUNCT
ejpam-1847	545	4	the	the	DET
ejpam-1847	545	5	journal	journal	NOUN
ejpam-1847	545	6	of	of	ADP
ejpam-1847	545	7	the	the	DET
ejpam-1847	545	8	international	international	ADJ
ejpam-1847	545	9	actuarial	actuarial	ADJ
ejpam-1847	545	10	association	association	NOUN
ejpam-1847	545	11	,	,	PUNCT
ejpam-1847	545	12	40(2):779–796	40(2):779–796	NUM
ejpam-1847	545	13	,	,	PUNCT
ejpam-1847	545	14	2010	2010	NUM
ejpam-1847	545	15	.	.	PUNCT
ejpam-1847	546	1	[	[	X
ejpam-1847	546	2	10	10	NUM
ejpam-1847	546	3	]	]	X
ejpam-1847	546	4	w.	w.	NOUN
ejpam-1847	546	5	enders	ender	NOUN
ejpam-1847	546	6	.	.	PUNCT
ejpam-1847	547	1	applied	apply	VERB
ejpam-1847	547	2	econometric	econometric	ADJ
ejpam-1847	547	3	time	time	NOUN
ejpam-1847	547	4	series	series	PROPN
ejpam-1847	547	5	.	.	PUNCT
ejpam-1847	548	1	wiley	wiley	PROPN
ejpam-1847	548	2	,	,	PUNCT
ejpam-1847	548	3	new	new	PROPN
ejpam-1847	548	4	york	york	PROPN
ejpam-1847	548	5	,	,	PUNCT
ejpam-1847	548	6	1995	1995	NUM
ejpam-1847	548	7	.	.	PUNCT
ejpam-1847	549	1	[	[	X
ejpam-1847	549	2	11	11	NUM
ejpam-1847	549	3	]	]	X
ejpam-1847	549	4	w.	w.	NOUN
ejpam-1847	549	5	enders	ender	NOUN
ejpam-1847	549	6	.	.	PUNCT
ejpam-1847	550	1	applied	apply	VERB
ejpam-1847	550	2	econometric	econometric	ADJ
ejpam-1847	550	3	time	time	NOUN
ejpam-1847	550	4	series	series	PROPN
ejpam-1847	550	5	,	,	PUNCT
ejpam-1847	550	6	2nd	2nd	PROPN
ejpam-1847	550	7	edition	edition	NOUN
ejpam-1847	550	8	.	.	PUNCT
ejpam-1847	551	1	wiley	wiley	PROPN
ejpam-1847	551	2	,	,	PUNCT
ejpam-1847	551	3	new	new	PROPN
ejpam-1847	551	4	york	york	PROPN
ejpam-1847	551	5	,	,	PUNCT
ejpam-1847	551	6	2004	2004	NUM
ejpam-1847	551	7	.	.	PUNCT
ejpam-1847	552	1	[	[	X
ejpam-1847	552	2	12	12	NUM
ejpam-1847	552	3	]	]	PUNCT
ejpam-1847	552	4	r.	r.	PROPN
ejpam-1847	552	5	f.	f.	PROPN
ejpam-1847	552	6	engle	engle	PROPN
ejpam-1847	552	7	and	and	CCONJ
ejpam-1847	552	8	c.	c.	PROPN
ejpam-1847	552	9	w.	w.	PROPN
ejpam-1847	552	10	j.	j.	PROPN
ejpam-1847	552	11	granger	granger	PROPN
ejpam-1847	552	12	.	.	PUNCT
ejpam-1847	553	1	cointegration	cointegration	NOUN
ejpam-1847	553	2	and	and	CCONJ
ejpam-1847	553	3	error	error	NOUN
ejpam-1847	553	4	correction	correction	NOUN
ejpam-1847	553	5	:	:	PUNCT
ejpam-1847	553	6	representation	representation	NOUN
ejpam-1847	553	7	,	,	PUNCT
ejpam-1847	553	8	estimation	estimation	NOUN
ejpam-1847	553	9	and	and	CCONJ
ejpam-1847	553	10	testing	testing	NOUN
ejpam-1847	553	11	.	.	PUNCT
ejpam-1847	554	1	econometrica	econometrica	PROPN
ejpam-1847	554	2	,	,	PUNCT
ejpam-1847	554	3	50:987–1007	50:987–1007	NUM
ejpam-1847	554	4	,	,	PUNCT
ejpam-1847	554	5	1987	1987	NUM
ejpam-1847	554	6	.	.	PUNCT
ejpam-1847	555	1	[	[	X
ejpam-1847	555	2	13	13	NUM
ejpam-1847	555	3	]	]	X
ejpam-1847	555	4	e.	e.	PROPN
ejpam-1847	555	5	i.	i.	PROPN
ejpam-1847	555	6	george	george	PROPN
ejpam-1847	555	7	and	and	CCONJ
ejpam-1847	555	8	r.e	r.e	PROPN
ejpam-1847	555	9	.	.	PROPN
ejpam-1847	555	10	mcculloch	mcculloch	PROPN
ejpam-1847	555	11	.	.	PUNCT
ejpam-1847	556	1	approaches	approach	VERB
ejpam-1847	556	2	for	for	ADP
ejpam-1847	556	3	bayesian	bayesian	ADJ
ejpam-1847	556	4	variable	variable	ADJ
ejpam-1847	556	5	selection	selection	NOUN
ejpam-1847	556	6	.	.	PUNCT
ejpam-1847	557	1	statistica	statistica	PROPN
ejpam-1847	557	2	sinica	sinica	PROPN
ejpam-1847	557	3	,	,	PUNCT
ejpam-1847	557	4	7:339–373	7:339–373	NOUN
ejpam-1847	557	5	,	,	PUNCT
ejpam-1847	557	6	1997	1997	NUM
ejpam-1847	557	7	.	.	PUNCT
ejpam-1847	558	1	[	[	X
ejpam-1847	558	2	14	14	NUM
ejpam-1847	558	3	]	]	X
ejpam-1847	558	4	c.	c.	PROPN
ejpam-1847	558	5	w.	w.	PROPN
ejpam-1847	558	6	j.	j.	PROPN
ejpam-1847	558	7	granger	granger	PROPN
ejpam-1847	558	8	.	.	PUNCT
ejpam-1847	559	1	some	some	DET
ejpam-1847	559	2	properties	property	NOUN
ejpam-1847	559	3	of	of	ADP
ejpam-1847	559	4	time	time	NOUN
ejpam-1847	559	5	series	series	PROPN
ejpam-1847	559	6	data	datum	NOUN
ejpam-1847	559	7	and	and	CCONJ
ejpam-1847	559	8	their	their	PRON
ejpam-1847	559	9	use	use	NOUN
ejpam-1847	559	10	in	in	ADP
ejpam-1847	559	11	econometric	econometric	ADJ
ejpam-1847	559	12	model	model	NOUN
ejpam-1847	559	13	specification	specification	NOUN
ejpam-1847	559	14	.	.	PUNCT
ejpam-1847	560	1	journal	journal	PROPN
ejpam-1847	560	2	of	of	ADP
ejpam-1847	560	3	econometrics	econometric	NOUN
ejpam-1847	560	4	,	,	PUNCT
ejpam-1847	560	5	16:121–130	16:121–130	NUM
ejpam-1847	560	6	,	,	PUNCT
ejpam-1847	560	7	1981	1981	NUM
ejpam-1847	560	8	.	.	PUNCT
ejpam-1847	561	1	[	[	X
ejpam-1847	561	2	15	15	NUM
ejpam-1847	561	3	]	]	X
ejpam-1847	561	4	c.	c.	PROPN
ejpam-1847	561	5	w.	w.	PROPN
ejpam-1847	561	6	j.	j.	PROPN
ejpam-1847	561	7	granger	granger	PROPN
ejpam-1847	561	8	,	,	PUNCT
ejpam-1847	561	9	m.l	m.l	PROPN
ejpam-1847	561	10	.	.	PROPN
ejpam-1847	561	11	king	king	PROPN
ejpam-1847	561	12	,	,	PUNCT
ejpam-1847	561	13	and	and	CCONJ
ejpam-1847	561	14	h.	h.	PROPN
ejpam-1847	561	15	white	white	PROPN
ejpam-1847	561	16	.	.	PUNCT
ejpam-1847	562	1	comments	comment	NOUN
ejpam-1847	562	2	on	on	ADP
ejpam-1847	562	3	the	the	DET
ejpam-1847	562	4	testing	testing	NOUN
ejpam-1847	562	5	economic	economic	ADJ
ejpam-1847	562	6	theories	theory	NOUN
ejpam-1847	562	7	and	and	CCONJ
ejpam-1847	562	8	the	the	DET
ejpam-1847	562	9	use	use	NOUN
ejpam-1847	562	10	of	of	ADP
ejpam-1847	562	11	model	model	NOUN
ejpam-1847	562	12	selection	selection	NOUN
ejpam-1847	562	13	criteria	criterion	NOUN
ejpam-1847	562	14	.	.	PUNCT
ejpam-1847	563	1	journal	journal	NOUN
ejpam-1847	563	2	of	of	ADP
ejpam-1847	563	3	econometrics	econometric	NOUN
ejpam-1847	563	4	,	,	PUNCT
ejpam-1847	563	5	67:173–187	67:173–187	NUM
ejpam-1847	563	6	,	,	PUNCT
ejpam-1847	563	7	1995	1995	NUM
ejpam-1847	563	8	.	.	PUNCT
ejpam-1847	564	1	[	[	X
ejpam-1847	564	2	16	16	NUM
ejpam-1847	564	3	]	]	PUNCT
ejpam-1847	564	4	j.	j.	PROPN
ejpam-1847	564	5	d.	d.	PROPN
ejpam-1847	564	6	hamilton	hamilton	PROPN
ejpam-1847	564	7	.	.	PUNCT
ejpam-1847	564	8	time	time	PROPN
ejpam-1847	564	9	series	series	PROPN
ejpam-1847	564	10	analysis	analysis	PROPN
ejpam-1847	564	11	.	.	PUNCT
ejpam-1847	565	1	princeton	princeton	PROPN
ejpam-1847	565	2	university	university	PROPN
ejpam-1847	565	3	press	press	NOUN
ejpam-1847	565	4	,	,	PUNCT
ejpam-1847	565	5	new	new	PROPN
ejpam-1847	565	6	jersey	jersey	PROPN
ejpam-1847	565	7	,	,	PUNCT
ejpam-1847	565	8	1994	1994	NUM
ejpam-1847	565	9	.	.	PUNCT
ejpam-1847	566	1	[	[	X
ejpam-1847	566	2	17	17	NUM
ejpam-1847	566	3	]	]	X
ejpam-1847	566	4	e.	e.	PROPN
ejpam-1847	566	5	j.	j.	PROPN
ejpam-1847	566	6	hannan	hannan	PROPN
ejpam-1847	566	7	.	.	PUNCT
ejpam-1847	567	1	the	the	DET
ejpam-1847	567	2	estimation	estimation	NOUN
ejpam-1847	567	3	of	of	ADP
ejpam-1847	567	4	the	the	DET
ejpam-1847	567	5	order	order	NOUN
ejpam-1847	567	6	of	of	ADP
ejpam-1847	567	7	an	an	DET
ejpam-1847	567	8	arma	arma	NOUN
ejpam-1847	567	9	process	process	NOUN
ejpam-1847	567	10	.	.	PUNCT
ejpam-1847	568	1	annals	annal	NOUN
ejpam-1847	568	2	of	of	ADP
ejpam-1847	568	3	statistics	statistic	NOUN
ejpam-1847	568	4	,	,	PUNCT
ejpam-1847	568	5	8:1971–1081	8:1971–1081	NUM
ejpam-1847	568	6	,	,	PUNCT
ejpam-1847	568	7	1980	1980	NUM
ejpam-1847	568	8	.	.	PUNCT
ejpam-1847	569	1	[	[	X
ejpam-1847	569	2	18	18	NUM
ejpam-1847	569	3	]	]	X
ejpam-1847	569	4	e.	e.	PROPN
ejpam-1847	569	5	j.	j.	PROPN
ejpam-1847	569	6	hannan	hannan	PROPN
ejpam-1847	569	7	and	and	CCONJ
ejpam-1847	569	8	b.	b.	PROPN
ejpam-1847	569	9	g.	g.	PROPN
ejpam-1847	569	10	quinn	quinn	PROPN
ejpam-1847	569	11	.	.	PUNCT
ejpam-1847	570	1	the	the	DET
ejpam-1847	570	2	determination	determination	NOUN
ejpam-1847	570	3	of	of	ADP
ejpam-1847	570	4	the	the	DET
ejpam-1847	570	5	order	order	NOUN
ejpam-1847	570	6	of	of	ADP
ejpam-1847	570	7	an	an	DET
ejpam-1847	570	8	autoregression	autoregression	NOUN
ejpam-1847	570	9	process	process	NOUN
ejpam-1847	570	10	.	.	PUNCT
ejpam-1847	571	1	journal	journal	NOUN
ejpam-1847	571	2	of	of	ADP
ejpam-1847	571	3	the	the	DET
ejpam-1847	571	4	royal	royal	ADJ
ejpam-1847	571	5	statistical	statistical	ADJ
ejpam-1847	571	6	society	society	NOUN
ejpam-1847	571	7	series	series	PROPN
ejpam-1847	571	8	b	b	PROPN
ejpam-1847	571	9	statistical	statistical	ADJ
ejpam-1847	571	10	methodology	methodology	NOUN
ejpam-1847	571	11	,	,	PUNCT
ejpam-1847	571	12	41:190	41:190	NUM
ejpam-1847	571	13	–	–	PUNCT
ejpam-1847	571	14	195	195	NUM
ejpam-1847	571	15	,	,	PUNCT
ejpam-1847	571	16	1979	1979	NUM
ejpam-1847	571	17	.	.	PUNCT
ejpam-1847	572	1	[	[	X
ejpam-1847	572	2	19	19	NUM
ejpam-1847	572	3	]	]	PUNCT
ejpam-1847	572	4	j.	j.	PROPN
ejpam-1847	572	5	a.	a.	PROPN
ejpam-1847	572	6	howe	howe	PROPN
ejpam-1847	572	7	and	and	CCONJ
ejpam-1847	572	8	h.	h.	PROPN
ejpam-1847	572	9	bozdogan	bozdogan	PROPN
ejpam-1847	572	10	.	.	PUNCT
ejpam-1847	573	1	predictive	predictive	ADJ
ejpam-1847	573	2	subset	subset	NOUN
ejpam-1847	573	3	var	var	NOUN
ejpam-1847	573	4	modeling	modeling	NOUN
ejpam-1847	573	5	using	use	VERB
ejpam-1847	573	6	the	the	DET
ejpam-1847	573	7	genetic	genetic	ADJ
ejpam-1847	573	8	algorithm	algorithm	NOUN
ejpam-1847	573	9	and	and	CCONJ
ejpam-1847	573	10	information	information	NOUN
ejpam-1847	573	11	complexity	complexity	NOUN
ejpam-1847	573	12	.	.	PUNCT
ejpam-1847	574	1	european	european	ADJ
ejpam-1847	574	2	journal	journal	PROPN
ejpam-1847	574	3	of	of	ADP
ejpam-1847	574	4	pure	pure	ADJ
ejpam-1847	574	5	and	and	CCONJ
ejpam-1847	574	6	applied	applied	ADJ
ejpam-1847	574	7	mathematics	mathematic	NOUN
ejpam-1847	574	8	,	,	PUNCT
ejpam-1847	574	9	3(3):382–405	3(3):382–405	NUM
ejpam-1847	574	10	,	,	PUNCT
ejpam-1847	574	11	2010	2010	NUM
ejpam-1847	574	12	.	.	PUNCT
ejpam-1847	575	1	[	[	X
ejpam-1847	575	2	20	20	NUM
ejpam-1847	575	3	]	]	X
ejpam-1847	575	4	c.	c.	PROPN
ejpam-1847	575	5	m.	m.	PROPN
ejpam-1847	575	6	hurvich	hurvich	PROPN
ejpam-1847	575	7	and	and	CCONJ
ejpam-1847	575	8	c.	c.	PROPN
ejpam-1847	575	9	l.	l.	PROPN
ejpam-1847	575	10	tsai	tsai	PROPN
ejpam-1847	575	11	.	.	PUNCT
ejpam-1847	576	1	regression	regression	NOUN
ejpam-1847	576	2	and	and	CCONJ
ejpam-1847	576	3	time	time	NOUN
ejpam-1847	576	4	series	series	PROPN
ejpam-1847	576	5	model	model	PROPN
ejpam-1847	576	6	selection	selection	NOUN
ejpam-1847	576	7	in	in	ADP
ejpam-1847	576	8	small	small	ADJ
ejpam-1847	576	9	samples	sample	NOUN
ejpam-1847	576	10	.	.	PUNCT
ejpam-1847	577	1	biometrika	biometrika	NOUN
ejpam-1847	577	2	,	,	PUNCT
ejpam-1847	577	3	76:297–307	76:297–307	NUM
ejpam-1847	577	4	,	,	PUNCT
ejpam-1847	577	5	1989	1989	NUM
ejpam-1847	577	6	.	.	PUNCT
ejpam-1847	578	1	[	[	X
ejpam-1847	578	2	21	21	NUM
ejpam-1847	578	3	]	]	X
ejpam-1847	578	4	k.	k.	PROPN
ejpam-1847	578	5	juselius	juselius	PROPN
ejpam-1847	578	6	and	and	CCONJ
ejpam-1847	578	7	j.	j.	PROPN
ejpam-1847	578	8	toro	toro	PROPN
ejpam-1847	578	9	.	.	PUNCT
ejpam-1847	579	1	moneteray	moneteray	PROPN
ejpam-1847	579	2	transmission	transmission	NOUN
ejpam-1847	579	3	mechanisms	mechanism	NOUN
ejpam-1847	579	4	in	in	ADP
ejpam-1847	579	5	spain	spain	PROPN
ejpam-1847	579	6	:	:	PUNCT
ejpam-1847	579	7	the	the	DET
ejpam-1847	579	8	effect	effect	NOUN
ejpam-1847	579	9	of	of	ADP
ejpam-1847	579	10	monetization	monetization	NOUN
ejpam-1847	579	11	,	,	PUNCT
ejpam-1847	579	12	financial	financial	ADJ
ejpam-1847	579	13	deregulation	deregulation	NOUN
ejpam-1847	579	14	,	,	PUNCT
ejpam-1847	579	15	and	and	CCONJ
ejpam-1847	579	16	the	the	DET
ejpam-1847	579	17	ems	ems	PROPN
ejpam-1847	579	18	.	.	PROPN
ejpam-1847	579	19	journal	journal	PROPN
ejpam-1847	579	20	of	of	ADP
ejpam-1847	579	21	international	international	ADJ
ejpam-1847	579	22	money	money	NOUN
ejpam-1847	579	23	and	and	CCONJ
ejpam-1847	579	24	finance	finance	NOUN
ejpam-1847	579	25	,	,	PUNCT
ejpam-1847	579	26	24:509–531	24:509–531	PROPN
ejpam-1847	579	27	,	,	PUNCT
ejpam-1847	579	28	2005	2005	NUM
ejpam-1847	579	29	.	.	PUNCT
ejpam-1847	580	1	[	[	X
ejpam-1847	580	2	22	22	NUM
ejpam-1847	580	3	]	]	PUNCT
ejpam-1847	580	4	t.	t.	PROPN
ejpam-1847	580	5	r.	r.	PROPN
ejpam-1847	580	6	liu	liu	PROPN
ejpam-1847	580	7	,	,	PUNCT
ejpam-1847	580	8	m.	m.	PROPN
ejpam-1847	580	9	e.	e.	PROPN
ejpam-1847	580	10	gerlow	gerlow	PROPN
ejpam-1847	580	11	,	,	PUNCT
ejpam-1847	580	12	and	and	CCONJ
ejpam-1847	580	13	s.	s.	PROPN
ejpam-1847	580	14	h.	h.	PROPN
ejpam-1847	580	15	irwin	irwin	PROPN
ejpam-1847	580	16	.	.	PUNCT
ejpam-1847	581	1	the	the	DET
ejpam-1847	581	2	performance	performance	NOUN
ejpam-1847	581	3	of	of	ADP
ejpam-1847	581	4	alternative	alternative	ADJ
ejpam-1847	581	5	var	var	NOUN
ejpam-1847	581	6	models	model	NOUN
ejpam-1847	581	7	in	in	ADP
ejpam-1847	581	8	forecasting	forecast	VERB
ejpam-1847	581	9	exchange	exchange	NOUN
ejpam-1847	581	10	rates	rate	NOUN
ejpam-1847	581	11	.	.	PUNCT
ejpam-1847	582	1	international	international	ADJ
ejpam-1847	582	2	journal	journal	PROPN
ejpam-1847	582	3	of	of	ADP
ejpam-1847	582	4	forecasting	forecasting	NOUN
ejpam-1847	582	5	,	,	PUNCT
ejpam-1847	582	6	10:419–433	10:419–433	NUM
ejpam-1847	582	7	,	,	PUNCT
ejpam-1847	582	8	1994	1994	NUM
ejpam-1847	582	9	.	.	PUNCT
ejpam-1847	583	1	[	[	X
ejpam-1847	583	2	23	23	NUM
ejpam-1847	583	3	]	]	X
ejpam-1847	583	4	h.	h.	PROPN
ejpam-1847	583	5	lütkepohl	lütkepohl	PROPN
ejpam-1847	583	6	.	.	PUNCT
ejpam-1847	584	1	new	new	ADJ
ejpam-1847	584	2	introduction	introduction	NOUN
ejpam-1847	584	3	to	to	ADP
ejpam-1847	584	4	multiple	multiple	ADJ
ejpam-1847	584	5	time	time	NOUN
ejpam-1847	584	6	series	series	PROPN
ejpam-1847	584	7	analysis	analysis	NOUN
ejpam-1847	584	8	.	.	PUNCT
ejpam-1847	585	1	springer	springer	NOUN
ejpam-1847	585	2	-	-	PUNCT
ejpam-1847	585	3	verlag	verlag	PROPN
ejpam-1847	585	4	,	,	PUNCT
ejpam-1847	585	5	heidelberg	heidelberg	PROPN
ejpam-1847	585	6	,	,	PUNCT
ejpam-1847	585	7	2005	2005	NUM
ejpam-1847	585	8	.	.	PUNCT
ejpam-1847	586	1	[	[	X
ejpam-1847	586	2	24	24	NUM
ejpam-1847	586	3	]	]	X
ejpam-1847	586	4	d.	d.	PROPN
ejpam-1847	586	5	madigan	madigan	PROPN
ejpam-1847	586	6	and	and	CCONJ
ejpam-1847	586	7	j.	j.	PROPN
ejpam-1847	586	8	york	york	PROPN
ejpam-1847	586	9	.	.	PUNCT
ejpam-1847	587	1	bayesian	bayesian	NOUN
ejpam-1847	587	2	graphical	graphical	ADJ
ejpam-1847	587	3	models	model	NOUN
ejpam-1847	587	4	for	for	ADP
ejpam-1847	587	5	discrete	discrete	ADJ
ejpam-1847	587	6	data	datum	NOUN
ejpam-1847	587	7	.	.	PUNCT
ejpam-1847	588	1	international	international	ADJ
ejpam-1847	588	2	statistics	statistics	PROPN
ejpam-1847	588	3	review	review	PROPN
ejpam-1847	588	4	,	,	PUNCT
ejpam-1847	588	5	63:215–232	63:215–232	PROPN
ejpam-1847	588	6	,	,	PUNCT
ejpam-1847	588	7	1995	1995	NUM
ejpam-1847	588	8	.	.	PUNCT
ejpam-1847	589	1	references	reference	NOUN
ejpam-1847	589	2	21	21	NUM
ejpam-1847	590	1	[	[	X
ejpam-1847	590	2	25	25	NUM
ejpam-1847	590	3	]	]	X
ejpam-1847	590	4	j.h.w	j.h.w	PROPN
ejpam-1847	590	5	.	.	PUNCT
ejpam-1847	591	1	penm	penm	PROPN
ejpam-1847	591	2	and	and	CCONJ
ejpam-1847	591	3	r.	r.	PROPN
ejpam-1847	591	4	d.	d.	PROPN
ejpam-1847	591	5	terrell	terrell	PROPN
ejpam-1847	591	6	.	.	PUNCT
ejpam-1847	592	1	on	on	ADP
ejpam-1847	592	2	the	the	DET
ejpam-1847	592	3	recursive	recursive	ADJ
ejpam-1847	592	4	fitting	fitting	NOUN
ejpam-1847	592	5	of	of	ADP
ejpam-1847	592	6	subset	subset	ADJ
ejpam-1847	592	7	autoregressions	autoregression	NOUN
ejpam-1847	592	8	.	.	PUNCT
ejpam-1847	593	1	journal	journal	NOUN
ejpam-1847	593	2	of	of	ADP
ejpam-1847	593	3	time	time	NOUN
ejpam-1847	593	4	series	series	PROPN
ejpam-1847	593	5	analysis	analysis	NOUN
ejpam-1847	593	6	,	,	PUNCT
ejpam-1847	593	7	3:43–59	3:43–59	NUM
ejpam-1847	593	8	,	,	PUNCT
ejpam-1847	593	9	1982	1982	NUM
ejpam-1847	593	10	.	.	PUNCT
ejpam-1847	594	1	[	[	X
ejpam-1847	594	2	26	26	NUM
ejpam-1847	594	3	]	]	X
ejpam-1847	594	4	p.	p.	NOUN
ejpam-1847	594	5	phillips	phillip	NOUN
ejpam-1847	594	6	and	and	CCONJ
ejpam-1847	594	7	p.	p.	PROPN
ejpam-1847	594	8	perron	perron	PROPN
ejpam-1847	594	9	.	.	PUNCT
ejpam-1847	595	1	testing	test	VERB
ejpam-1847	595	2	for	for	ADP
ejpam-1847	595	3	a	a	DET
ejpam-1847	595	4	unit	unit	NOUN
ejpam-1847	595	5	root	root	NOUN
ejpam-1847	595	6	in	in	ADP
ejpam-1847	595	7	time	time	NOUN
ejpam-1847	595	8	series	series	PROPN
ejpam-1847	595	9	regression	regression	PROPN
ejpam-1847	595	10	.	.	PUNCT
ejpam-1847	596	1	biometrika	biometrika	NOUN
ejpam-1847	596	2	,	,	PUNCT
ejpam-1847	596	3	75:335–346	75:335–346	NUM
ejpam-1847	596	4	,	,	PUNCT
ejpam-1847	596	5	1988	1988	NUM
ejpam-1847	596	6	.	.	PUNCT
ejpam-1847	597	1	[	[	X
ejpam-1847	597	2	27	27	NUM
ejpam-1847	597	3	]	]	X
ejpam-1847	597	4	g.	g.	PROPN
ejpam-1847	597	5	qian	qian	PROPN
ejpam-1847	597	6	.	.	PUNCT
ejpam-1847	598	1	computations	computation	NOUN
ejpam-1847	598	2	and	and	CCONJ
ejpam-1847	598	3	analysis	analysis	NOUN
ejpam-1847	598	4	in	in	ADP
ejpam-1847	598	5	robust	robust	ADJ
ejpam-1847	598	6	regression	regression	NOUN
ejpam-1847	598	7	model	model	NOUN
ejpam-1847	598	8	selection	selection	NOUN
ejpam-1847	598	9	using	use	VERB
ejpam-1847	598	10	stochastic	stochastic	ADJ
ejpam-1847	598	11	complexity	complexity	NOUN
ejpam-1847	598	12	.	.	PUNCT
ejpam-1847	599	1	computational	computational	ADJ
ejpam-1847	599	2	statistics	statistic	NOUN
ejpam-1847	599	3	,	,	PUNCT
ejpam-1847	599	4	14:293–314	14:293–314	PROPN
ejpam-1847	599	5	,	,	PUNCT
ejpam-1847	599	6	1999	1999	NUM
ejpam-1847	599	7	.	.	PUNCT
ejpam-1847	600	1	[	[	X
ejpam-1847	600	2	28	28	NUM
ejpam-1847	600	3	]	]	X
ejpam-1847	600	4	g.	g.	PROPN
ejpam-1847	600	5	qian	qian	PROPN
ejpam-1847	600	6	and	and	CCONJ
ejpam-1847	600	7	c.	c.	PROPN
ejpam-1847	600	8	field	field	NOUN
ejpam-1847	600	9	.	.	PUNCT
ejpam-1847	601	1	using	use	VERB
ejpam-1847	601	2	mcmc	mcmc	PROPN
ejpam-1847	601	3	for	for	ADP
ejpam-1847	601	4	logistic	logistic	ADJ
ejpam-1847	601	5	regression	regression	NOUN
ejpam-1847	601	6	model	model	NOUN
ejpam-1847	601	7	selection	selection	NOUN
ejpam-1847	601	8	involving	involve	VERB
ejpam-1847	601	9	large	large	ADJ
ejpam-1847	601	10	number	number	NOUN
ejpam-1847	601	11	of	of	ADP
ejpam-1847	601	12	candidate	candidate	NOUN
ejpam-1847	601	13	models	model	NOUN
ejpam-1847	601	14	.	.	PUNCT
ejpam-1847	602	1	in	in	ADP
ejpam-1847	602	2	k.t	k.t	PROPN
ejpam-1847	602	3	.	.	PROPN
ejpam-1847	602	4	fang	fang	PROPN
ejpam-1847	602	5	,	,	PUNCT
ejpam-1847	602	6	f.j	f.j	PROPN
ejpam-1847	602	7	.	.	PROPN
ejpam-1847	602	8	hickernell	hickernell	PROPN
ejpam-1847	602	9	,	,	PUNCT
ejpam-1847	602	10	and	and	CCONJ
ejpam-1847	602	11	h.	h.	PROPN
ejpam-1847	602	12	niederreiter	niederreiter	PROPN
ejpam-1847	602	13	,	,	PUNCT
ejpam-1847	602	14	editors	editor	NOUN
ejpam-1847	602	15	,	,	PUNCT
ejpam-1847	602	16	selected	select	VERB
ejpam-1847	602	17	proceedings	proceeding	NOUN
ejpam-1847	602	18	of	of	ADP
ejpam-1847	602	19	the	the	DET
ejpam-1847	602	20	4th	4th	ADJ
ejpam-1847	602	21	international	international	ADJ
ejpam-1847	602	22	conference	conference	NOUN
ejpam-1847	602	23	on	on	ADP
ejpam-1847	602	24	monte	monte	PROPN
ejpam-1847	602	25	carlo	carlo	PROPN
ejpam-1847	602	26	&	&	CCONJ
ejpam-1847	602	27	quasi	quasi	PROPN
ejpam-1847	602	28	-	-	PROPN
ejpam-1847	602	29	monte	monte	ADJ
ejpam-1847	602	30	carlo	carlo	NOUN
ejpam-1847	602	31	methods	method	NOUN
ejpam-1847	602	32	in	in	ADP
ejpam-1847	602	33	scientific	scientific	ADJ
ejpam-1847	602	34	computing	computing	NOUN
ejpam-1847	602	35	,	,	PUNCT
ejpam-1847	602	36	pages	page	NOUN
ejpam-1847	602	37	460–474	460–474	NUM
ejpam-1847	602	38	,	,	PUNCT
ejpam-1847	602	39	hong	hong	PROPN
ejpam-1847	602	40	kong	kong	PROPN
ejpam-1847	602	41	,	,	PUNCT
ejpam-1847	602	42	2002	2002	NUM
ejpam-1847	602	43	.	.	PUNCT
ejpam-1847	602	44	springer	springer	NOUN
ejpam-1847	602	45	.	.	PUNCT
ejpam-1847	603	1	[	[	X
ejpam-1847	603	2	29	29	NUM
ejpam-1847	603	3	]	]	PUNCT
ejpam-1847	603	4	g.	g.	PROPN
ejpam-1847	603	5	qian	qian	PROPN
ejpam-1847	603	6	and	and	CCONJ
ejpam-1847	603	7	x.	x.	PROPN
ejpam-1847	603	8	zhao	zhao	PROPN
ejpam-1847	603	9	.	.	PUNCT
ejpam-1847	604	1	on	on	ADP
ejpam-1847	604	2	time	time	PROPN
ejpam-1847	604	3	series	series	PROPN
ejpam-1847	604	4	model	model	PROPN
ejpam-1847	604	5	selection	selection	NOUN
ejpam-1847	604	6	involving	involve	VERB
ejpam-1847	604	7	many	many	ADJ
ejpam-1847	604	8	candidate	candidate	NOUN
ejpam-1847	604	9	arma	arma	NOUN
ejpam-1847	604	10	models	model	NOUN
ejpam-1847	604	11	.	.	PUNCT
ejpam-1847	605	1	computational	computational	ADJ
ejpam-1847	605	2	statistics	statistic	NOUN
ejpam-1847	605	3	&	&	CCONJ
ejpam-1847	605	4	data	datum	NOUN
ejpam-1847	605	5	analysis	analysis	NOUN
ejpam-1847	605	6	,	,	PUNCT
ejpam-1847	605	7	51:6180–6154	51:6180–6154	NUM
ejpam-1847	605	8	,	,	PUNCT
ejpam-1847	605	9	2007	2007	NUM
ejpam-1847	605	10	.	.	PUNCT
ejpam-1847	606	1	[	[	X
ejpam-1847	606	2	30	30	NUM
ejpam-1847	606	3	]	]	X
ejpam-1847	606	4	c.	c.	PROPN
ejpam-1847	606	5	p.	p.	PROPN
ejpam-1847	606	6	robert	robert	PROPN
ejpam-1847	607	1	(	(	PUNCT
ejpam-1847	607	2	ed	ed	NOUN
ejpam-1847	607	3	.	.	PUNCT
ejpam-1847	607	4	)	)	PUNCT
ejpam-1847	607	5	.	.	PUNCT
ejpam-1847	608	1	discretization	discretization	NOUN
ejpam-1847	608	2	and	and	CCONJ
ejpam-1847	608	3	mcmc	mcmc	PROPN
ejpam-1847	608	4	convergence	convergence	PROPN
ejpam-1847	608	5	assessment	assessment	NOUN
ejpam-1847	608	6	.	.	PUNCT
ejpam-1847	609	1	springer	springer	NOUN
ejpam-1847	609	2	,	,	PUNCT
ejpam-1847	609	3	new	new	PROPN
ejpam-1847	609	4	york	york	PROPN
ejpam-1847	609	5	,	,	PUNCT
ejpam-1847	609	6	1998	1998	NUM
ejpam-1847	609	7	.	.	PUNCT
ejpam-1847	610	1	[	[	X
ejpam-1847	610	2	31	31	NUM
ejpam-1847	610	3	]	]	X
ejpam-1847	610	4	g.	g.	PROPN
ejpam-1847	610	5	schwarz	schwarz	PROPN
ejpam-1847	610	6	.	.	PUNCT
ejpam-1847	611	1	estimating	estimate	VERB
ejpam-1847	611	2	the	the	DET
ejpam-1847	611	3	dimension	dimension	NOUN
ejpam-1847	611	4	of	of	ADP
ejpam-1847	611	5	a	a	DET
ejpam-1847	611	6	model	model	NOUN
ejpam-1847	611	7	.	.	PUNCT
ejpam-1847	612	1	annals	annal	NOUN
ejpam-1847	612	2	of	of	ADP
ejpam-1847	612	3	statistics	statistic	NOUN
ejpam-1847	612	4	,	,	PUNCT
ejpam-1847	612	5	6:461–464	6:461–464	PROPN
ejpam-1847	612	6	,	,	PUNCT
ejpam-1847	612	7	1978	1978	NUM
ejpam-1847	612	8	.	.	PUNCT
ejpam-1847	613	1	[	[	X
ejpam-1847	613	2	32	32	NUM
ejpam-1847	613	3	]	]	PUNCT
ejpam-1847	613	4	c.	c.	PROPN
ejpam-1847	613	5	a.	a.	NOUN
ejpam-1847	613	6	sims	sim	NOUN
ejpam-1847	613	7	.	.	PUNCT
ejpam-1847	614	1	macroeconomics	macroeconomic	NOUN
ejpam-1847	614	2	and	and	CCONJ
ejpam-1847	614	3	reality	reality	NOUN
ejpam-1847	614	4	.	.	PUNCT
ejpam-1847	615	1	econometrica	econometrica	PROPN
ejpam-1847	615	2	,	,	PUNCT
ejpam-1847	615	3	48:1–48	48:1–48	NUM
ejpam-1847	615	4	,	,	PUNCT
ejpam-1847	615	5	1980	1980	NUM
ejpam-1847	615	6	.	.	PUNCT
ejpam-1847	616	1	[	[	X
ejpam-1847	616	2	33	33	NUM
ejpam-1847	616	3	]	]	PUNCT
ejpam-1847	616	4	a.	a.	NOUN
ejpam-1847	616	5	zellner	zellner	NOUN
ejpam-1847	616	6	.	.	PUNCT
ejpam-1847	617	1	an	an	DET
ejpam-1847	617	2	efficient	efficient	ADJ
ejpam-1847	617	3	method	method	NOUN
ejpam-1847	617	4	of	of	ADP
ejpam-1847	617	5	estimating	estimate	VERB
ejpam-1847	617	6	seemingly	seemingly	ADV
ejpam-1847	617	7	unrelated	unrelated	ADJ
ejpam-1847	617	8	regressions	regression	NOUN
ejpam-1847	617	9	and	and	CCONJ
ejpam-1847	617	10	tests	test	NOUN
ejpam-1847	617	11	of	of	ADP
ejpam-1847	617	12	aggregation	aggregation	NOUN
ejpam-1847	617	13	bias	bias	NOUN
ejpam-1847	617	14	.	.	PUNCT
ejpam-1847	618	1	journal	journal	NOUN
ejpam-1847	618	2	of	of	ADP
ejpam-1847	618	3	the	the	DET
ejpam-1847	618	4	american	american	PROPN
ejpam-1847	618	5	statistical	statistical	PROPN
ejpam-1847	618	6	association	association	NOUN
ejpam-1847	618	7	,	,	PUNCT
ejpam-1847	618	8	57:348–368	57:348–368	PROPN
ejpam-1847	618	9	,	,	PUNCT
ejpam-1847	618	10	1962	1962	NUM
ejpam-1847	618	11	.	.	PUNCT
ejpam-1847	619	1	[	[	X
ejpam-1847	619	2	34	34	NUM
ejpam-1847	619	3	]	]	PUNCT
ejpam-1847	619	4	x.	x.	NOUN
ejpam-1847	619	5	zhao	zhao	PROPN
ejpam-1847	619	6	,	,	PUNCT
ejpam-1847	619	7	f.	f.	PROPN
ejpam-1847	619	8	chen	chen	PROPN
ejpam-1847	619	9	,	,	PUNCT
ejpam-1847	619	10	and	and	CCONJ
ejpam-1847	619	11	t.	t.	PROPN
ejpam-1847	619	12	gao	gao	PROPN
ejpam-1847	619	13	.	.	PUNCT
ejpam-1847	620	1	research	research	NOUN
ejpam-1847	620	2	on	on	ADP
ejpam-1847	620	3	the	the	DET
ejpam-1847	620	4	transmission	transmission	NOUN
ejpam-1847	620	5	mechanism	mechanism	NOUN
ejpam-1847	620	6	of	of	ADP
ejpam-1847	620	7	china	china	PROPN
ejpam-1847	620	8	’s	’s	PART
ejpam-1847	620	9	monetary	monetary	ADJ
ejpam-1847	620	10	policy	policy	NOUN
ejpam-1847	620	11	.	.	PUNCT
ejpam-1847	621	1	chinese	chinese	ADJ
ejpam-1847	621	2	journal	journal	PROPN
ejpam-1847	621	3	of	of	ADP
ejpam-1847	621	4	quantitative	quantitative	ADJ
ejpam-1847	621	5	and	and	CCONJ
ejpam-1847	621	6	technical	technical	ADJ
ejpam-1847	621	7	economics	economic	NOUN
ejpam-1847	621	8	,	,	PUNCT
ejpam-1847	621	9	19:103–106	19:103–106	NUM
ejpam-1847	621	10	,	,	PUNCT
ejpam-1847	621	11	2002	2002	NUM
ejpam-1847	621	12	.	.	PUNCT