id	sid	tid	token	lemma	pos
ajst-26914	1	1	academic	academic	ADJ
ajst-26914	1	2	journal	journal	NOUN
ajst-26914	1	3	of	of	ADP
ajst-26914	1	4	science	science	NOUN
ajst-26914	1	5	and	and	CCONJ
ajst-26914	1	6	technology	technology	NOUN
ajst-26914	1	7	issn	issn	NOUN
ajst-26914	1	8	:	:	PUNCT
ajst-26914	1	9	2771	2771	NUM
ajst-26914	1	10	-	-	SYM
ajst-26914	1	11	3032	3032	NUM
ajst-26914	1	12	|	|	NOUN
ajst-26914	1	13	vol	vol	NOUN
ajst-26914	1	14	.	.	PROPN
ajst-26914	1	15	13	13	NUM
ajst-26914	1	16	,	,	PUNCT
ajst-26914	1	17	no	no	INTJ
ajst-26914	1	18	.	.	NOUN
ajst-26914	1	19	1	1	NUM
ajst-26914	1	20	,	,	PUNCT
ajst-26914	1	21	2024	2024	NUM
ajst-26914	1	22	207	207	NUM
ajst-26914	1	23	empirical	empirical	ADJ
ajst-26914	1	24	bayes	bayes	NOUN
ajst-26914	1	25	likelihood	likelihood	NOUN
ajst-26914	1	26	for	for	ADP
ajst-26914	1	27	exponential	exponential	ADJ
ajst-26914	1	28	distribution	distribution	NOUN
ajst-26914	1	29	family	family	NOUN
ajst-26914	1	30	under	under	ADP
ajst-26914	1	31	ranked	rank	VERB
ajst-26914	1	32	set	set	ADJ
ajst-26914	1	33	sampling	sampling	NOUN
ajst-26914	1	34	and	and	CCONJ
ajst-26914	1	35	dependent	dependent	ADJ
ajst-26914	1	36	data	datum	NOUN
ajst-26914	1	37	naiyi	naiyi	PROPN
ajst-26914	1	38	li1	li1	NOUN
ajst-26914	1	39	,	,	PUNCT
ajst-26914	1	40	yongming	yongming	PROPN
ajst-26914	1	41	li2	li2	PROPN
ajst-26914	1	42	,	,	PUNCT
ajst-26914	1	43	juan	juan	PROPN
ajst-26914	1	44	huang1	huang1	PROPN
ajst-26914	1	45	,	,	PUNCT
ajst-26914	1	46	*	*	PUNCT
ajst-26914	2	1	1school	1school	NUM
ajst-26914	2	2	of	of	ADP
ajst-26914	2	3	mathematics	mathematic	NOUN
ajst-26914	2	4	and	and	CCONJ
ajst-26914	2	5	computer	computer	NOUN
ajst-26914	2	6	,	,	PUNCT
ajst-26914	2	7	guangdong	guangdong	PROPN
ajst-26914	2	8	ocean	ocean	PROPN
ajst-26914	2	9	university	university	PROPN
ajst-26914	2	10	,	,	PUNCT
ajst-26914	2	11	zhanjiang	zhanjiang	PROPN
ajst-26914	2	12	524088	524088	NUM
ajst-26914	2	13	,	,	PUNCT
ajst-26914	2	14	china	china	PROPN
ajst-26914	2	15	2school	2school	NUM
ajst-26914	2	16	of	of	ADP
ajst-26914	2	17	mathematics	mathematic	NOUN
ajst-26914	2	18	and	and	CCONJ
ajst-26914	2	19	computer	computer	NOUN
ajst-26914	2	20	science	science	NOUN
ajst-26914	2	21	,	,	PUNCT
ajst-26914	2	22	shang	shang	PROPN
ajst-26914	2	23	rao	rao	PROPN
ajst-26914	2	24	normal	normal	PROPN
ajst-26914	2	25	university	university	PROPN
ajst-26914	2	26	shang	shang	PROPN
ajst-26914	2	27	rao	rao	PROPN
ajst-26914	2	28	,	,	PUNCT
ajst-26914	2	29	334001	334001	NUM
ajst-26914	2	30	,	,	PUNCT
ajst-26914	2	31	china	china	PROPN
ajst-26914	2	32	*	*	PUNCT
ajst-26914	2	33	corresponding	correspond	VERB
ajst-26914	2	34	author	author	NOUN
ajst-26914	2	35	:	:	PUNCT
ajst-26914	2	36	juan	juan	PROPN
ajst-26914	2	37	huang	huang	PROPN
ajst-26914	2	38	abstract	abstract	PROPN
ajst-26914	2	39	:	:	PUNCT
ajst-26914	2	40	in	in	ADP
ajst-26914	2	41	this	this	DET
ajst-26914	2	42	paper	paper	NOUN
ajst-26914	2	43	,	,	PUNCT
ajst-26914	2	44	we	we	PRON
ajst-26914	2	45	get	get	VERB
ajst-26914	2	46	the	the	DET
ajst-26914	2	47	empirical	empirical	ADJ
ajst-26914	2	48	bayes	bayes	NOUN
ajst-26914	2	49	likelihood	likelihood	PROPN
ajst-26914	2	50	test	test	NOUN
ajst-26914	2	51	rules	rule	NOUN
ajst-26914	2	52	for	for	ADP
ajst-26914	2	53	exponential	exponential	ADJ
ajst-26914	2	54	distribution	distribution	NOUN
ajst-26914	2	55	based	base	VERB
ajst-26914	2	56	on	on	ADP
ajst-26914	2	57	ranked	rank	VERB
ajst-26914	2	58	set	set	ADJ
ajst-26914	2	59	sampling	sampling	NOUN
ajst-26914	2	60	.	.	PUNCT
ajst-26914	3	1	its	its	PRON
ajst-26914	3	2	asymptotic	asymptotic	ADJ
ajst-26914	3	3	optimality	optimality	NOUN
ajst-26914	3	4	is	be	AUX
ajst-26914	3	5	obtained	obtain	VERB
ajst-26914	3	6	.	.	PUNCT
ajst-26914	4	1	due	due	ADP
ajst-26914	4	2	to	to	ADP
ajst-26914	4	3	the	the	DET
ajst-26914	4	4	advantages	advantage	NOUN
ajst-26914	4	5	of	of	ADP
ajst-26914	4	6	combining	combine	VERB
ajst-26914	4	7	empirical	empirical	ADJ
ajst-26914	4	8	bayesian	bayesian	NOUN
ajst-26914	4	9	methods	method	NOUN
ajst-26914	4	10	with	with	ADP
ajst-26914	4	11	prior	prior	ADJ
ajst-26914	4	12	information	information	NOUN
ajst-26914	4	13	of	of	ADP
ajst-26914	4	14	samples	sample	NOUN
ajst-26914	4	15	,	,	PUNCT
ajst-26914	4	16	the	the	DET
ajst-26914	4	17	accuracy	accuracy	NOUN
ajst-26914	4	18	of	of	ADP
ajst-26914	4	19	statistical	statistical	ADJ
ajst-26914	4	20	inference	inference	NOUN
ajst-26914	4	21	can	can	AUX
ajst-26914	4	22	be	be	AUX
ajst-26914	4	23	improved	improve	VERB
ajst-26914	4	24	.	.	PUNCT
ajst-26914	5	1	therefore	therefore	ADV
ajst-26914	5	2	,	,	PUNCT
ajst-26914	5	3	the	the	DET
ajst-26914	5	4	fusion	fusion	NOUN
ajst-26914	5	5	of	of	ADP
ajst-26914	5	6	empirical	empirical	ADJ
ajst-26914	5	7	bayesian	bayesian	NOUN
ajst-26914	5	8	likelihood	likelihood	NOUN
ajst-26914	5	9	methods	method	NOUN
ajst-26914	5	10	can	can	AUX
ajst-26914	5	11	further	far	ADV
ajst-26914	5	12	enhance	enhance	VERB
ajst-26914	5	13	the	the	DET
ajst-26914	5	14	estimation	estimation	NOUN
ajst-26914	5	15	methods	method	NOUN
ajst-26914	5	16	of	of	ADP
ajst-26914	5	17	statistical	statistical	ADJ
ajst-26914	5	18	models	model	NOUN
ajst-26914	5	19	.	.	PUNCT
ajst-26914	6	1	keywords	keyword	NOUN
ajst-26914	6	2	:	:	PUNCT
ajst-26914	6	3	ranked	rank	VERB
ajst-26914	6	4	set	set	ADJ
ajst-26914	6	5	sampling	sampling	NOUN
ajst-26914	6	6	,	,	PUNCT
ajst-26914	6	7	empirical	empirical	ADJ
ajst-26914	6	8	bayes	bayes	NOUN
ajst-26914	6	9	likelihood	likelihood	NOUN
ajst-26914	6	10	,	,	PUNCT
ajst-26914	6	11	exponential	exponential	ADJ
ajst-26914	6	12	distribution	distribution	NOUN
ajst-26914	6	13	.	.	PUNCT
ajst-26914	7	1	1	1	X
ajst-26914	7	2	.	.	X
ajst-26914	7	3	introduction	introduction	NOUN
ajst-26914	7	4	empirical	empirical	ADJ
ajst-26914	7	5	bayesian	bayesian	NOUN
ajst-26914	7	6	method	method	NOUN
ajst-26914	7	7	is	be	AUX
ajst-26914	7	8	a	a	DET
ajst-26914	7	9	method	method	NOUN
ajst-26914	7	10	that	that	PRON
ajst-26914	7	11	uses	use	VERB
ajst-26914	7	12	historical	historical	ADJ
ajst-26914	7	13	samples	sample	NOUN
ajst-26914	7	14	to	to	PART
ajst-26914	7	15	estimate	estimate	VERB
ajst-26914	7	16	prior	prior	ADJ
ajst-26914	7	17	distributions	distribution	NOUN
ajst-26914	7	18	and	and	CCONJ
ajst-26914	7	19	determine	determine	VERB
ajst-26914	7	20	bayesian	bayesian	NOUN
ajst-26914	7	21	decision	decision	NOUN
ajst-26914	7	22	functions	function	NOUN
ajst-26914	7	23	.	.	PUNCT
ajst-26914	8	1	this	this	DET
ajst-26914	8	2	method	method	NOUN
ajst-26914	8	3	is	be	AUX
ajst-26914	8	4	particularly	particularly	ADV
ajst-26914	8	5	useful	useful	ADJ
ajst-26914	8	6	when	when	SCONJ
ajst-26914	8	7	the	the	DET
ajst-26914	8	8	prior	prior	ADJ
ajst-26914	8	9	distribution	distribution	NOUN
ajst-26914	8	10	is	be	AUX
ajst-26914	8	11	unknown	unknown	ADJ
ajst-26914	8	12	.	.	PUNCT
ajst-26914	9	1	empirical	empirical	ADJ
ajst-26914	9	2	bayesian	bayesian	NOUN
ajst-26914	9	3	methods	method	NOUN
ajst-26914	9	4	can	can	AUX
ajst-26914	9	5	usually	usually	ADV
ajst-26914	9	6	be	be	AUX
ajst-26914	9	7	divided	divide	VERB
ajst-26914	9	8	into	into	ADP
ajst-26914	9	9	two	two	NUM
ajst-26914	9	10	types	type	NOUN
ajst-26914	9	11	:	:	PUNCT
ajst-26914	9	12	parametric	parametric	ADJ
ajst-26914	9	13	empirical	empirical	ADJ
ajst-26914	9	14	bayesian	bayesian	NOUN
ajst-26914	9	15	methods	method	NOUN
ajst-26914	9	16	and	and	CCONJ
ajst-26914	9	17	non	non	ADJ
ajst-26914	9	18	parametric	parametric	ADJ
ajst-26914	9	19	empirical	empirical	ADJ
ajst-26914	9	20	bayesian	bayesian	NOUN
ajst-26914	9	21	methods.in	methods.in	PROPN
ajst-26914	10	1	the	the	DET
ajst-26914	10	2	parameter	parameter	NOUN
ajst-26914	10	3	empirical	empirical	ADJ
ajst-26914	10	4	bayesian	bayesian	NOUN
ajst-26914	10	5	method	method	NOUN
ajst-26914	10	6	,	,	PUNCT
ajst-26914	10	7	it	it	PRON
ajst-26914	10	8	is	be	AUX
ajst-26914	10	9	assumed	assume	VERB
ajst-26914	10	10	that	that	SCONJ
ajst-26914	10	11	the	the	DET
ajst-26914	10	12	prior	prior	ADJ
ajst-26914	10	13	distribution	distribution	NOUN
ajst-26914	10	14	belongs	belong	VERB
ajst-26914	10	15	to	to	ADP
ajst-26914	10	16	a	a	DET
ajst-26914	10	17	known	know	VERB
ajst-26914	10	18	parameter	parameter	NOUN
ajst-26914	10	19	family	family	NOUN
ajst-26914	10	20	.	.	PUNCT
ajst-26914	11	1	then	then	ADV
ajst-26914	11	2	,	,	PUNCT
ajst-26914	11	3	based	base	VERB
ajst-26914	11	4	on	on	ADP
ajst-26914	11	5	independent	independent	ADJ
ajst-26914	11	6	and	and	CCONJ
ajst-26914	11	7	identically	identically	ADV
ajst-26914	11	8	distributed	distribute	VERB
ajst-26914	11	9	historical	historical	ADJ
ajst-26914	11	10	samples	sample	NOUN
ajst-26914	11	11	,	,	PUNCT
ajst-26914	11	12	classical	classical	ADJ
ajst-26914	11	13	statistical	statistical	ADJ
ajst-26914	11	14	methods	method	NOUN
ajst-26914	11	15	are	be	AUX
ajst-26914	11	16	used	use	VERB
ajst-26914	11	17	to	to	PART
ajst-26914	11	18	provide	provide	VERB
ajst-26914	11	19	estimates	estimate	NOUN
ajst-26914	11	20	of	of	ADP
ajst-26914	11	21	parameters	parameter	NOUN
ajst-26914	11	22	,	,	PUNCT
ajst-26914	11	23	thereby	thereby	ADV
ajst-26914	11	24	obtaining	obtain	VERB
ajst-26914	11	25	estimates	estimate	NOUN
ajst-26914	11	26	of	of	ADP
ajst-26914	11	27	prior	prior	ADJ
ajst-26914	11	28	distributions	distribution	NOUN
ajst-26914	11	29	.	.	PUNCT
ajst-26914	12	1	using	use	VERB
ajst-26914	12	2	its	its	PRON
ajst-26914	12	3	bayesian	bayesian	NOUN
ajst-26914	12	4	solution	solution	NOUN
ajst-26914	12	5	as	as	ADP
ajst-26914	12	6	an	an	DET
ajst-26914	12	7	empirical	empirical	ADJ
ajst-26914	12	8	bayesian	bayesian	NOUN
ajst-26914	12	9	decision	decision	NOUN
ajst-26914	12	10	function.in	function.in	PRON
ajst-26914	12	11	non	non	ADJ
ajst-26914	12	12	parametric	parametric	ADJ
ajst-26914	12	13	empirical	empirical	ADJ
ajst-26914	12	14	bayesian	bayesian	NOUN
ajst-26914	12	15	methods	method	NOUN
ajst-26914	12	16	,	,	PUNCT
ajst-26914	12	17	the	the	DET
ajst-26914	12	18	bayesian	bayesian	NOUN
ajst-26914	12	19	solution	solution	NOUN
ajst-26914	12	20	of	of	ADP
ajst-26914	12	21	a	a	DET
ajst-26914	12	22	decision	decision	NOUN
ajst-26914	12	23	problem	problem	NOUN
ajst-26914	12	24	can	can	AUX
ajst-26914	12	25	be	be	AUX
ajst-26914	12	26	expressed	express	VERB
ajst-26914	12	27	as	as	ADP
ajst-26914	12	28	the	the	DET
ajst-26914	12	29	product	product	NOUN
ajst-26914	12	30	of	of	ADP
ajst-26914	12	31	two	two	NUM
ajst-26914	12	32	known	know	VERB
ajst-26914	12	33	functions	function	NOUN
ajst-26914	12	34	.	.	PUNCT
ajst-26914	13	1	at	at	ADP
ajst-26914	13	2	this	this	DET
ajst-26914	13	3	point	point	NOUN
ajst-26914	13	4	,	,	PUNCT
ajst-26914	13	5	independent	independent	ADJ
ajst-26914	13	6	samples	sample	NOUN
ajst-26914	13	7	that	that	PRON
ajst-26914	13	8	follow	follow	VERB
ajst-26914	13	9	a	a	DET
ajst-26914	13	10	certain	certain	ADJ
ajst-26914	13	11	distribution	distribution	NOUN
ajst-26914	13	12	can	can	AUX
ajst-26914	13	13	be	be	AUX
ajst-26914	13	14	used	use	VERB
ajst-26914	13	15	to	to	PART
ajst-26914	13	16	estimate	estimate	VERB
ajst-26914	13	17	these	these	DET
ajst-26914	13	18	two	two	NUM
ajst-26914	13	19	functions	function	NOUN
ajst-26914	13	20	,	,	PUNCT
ajst-26914	13	21	thereby	thereby	ADV
ajst-26914	13	22	estimating	estimate	VERB
ajst-26914	13	23	the	the	DET
ajst-26914	13	24	bayesian	bayesian	NOUN
ajst-26914	13	25	solution	solution	NOUN
ajst-26914	13	26	and	and	CCONJ
ajst-26914	13	27	using	use	VERB
ajst-26914	13	28	it	it	PRON
ajst-26914	13	29	as	as	ADP
ajst-26914	13	30	the	the	DET
ajst-26914	13	31	empirical	empirical	ADJ
ajst-26914	13	32	bayesian	bayesian	NOUN
ajst-26914	13	33	decision	decision	NOUN
ajst-26914	13	34	function	function	NOUN
ajst-26914	13	35	for	for	ADP
ajst-26914	13	36	the	the	DET
ajst-26914	13	37	decision	decision	NOUN
ajst-26914	13	38	problem	problem	NOUN
ajst-26914	13	39	.	.	PUNCT
ajst-26914	14	1	overall	overall	ADV
ajst-26914	14	2	,	,	PUNCT
ajst-26914	14	3	the	the	DET
ajst-26914	14	4	empirical	empirical	ADJ
ajst-26914	14	5	bayesian	bayesian	NOUN
ajst-26914	14	6	method	method	NOUN
ajst-26914	14	7	is	be	AUX
ajst-26914	14	8	a	a	DET
ajst-26914	14	9	method	method	NOUN
ajst-26914	14	10	that	that	PRON
ajst-26914	14	11	utilizes	utilize	VERB
ajst-26914	14	12	historical	historical	ADJ
ajst-26914	14	13	data	datum	NOUN
ajst-26914	14	14	to	to	PART
ajst-26914	14	15	optimize	optimize	VERB
ajst-26914	14	16	decision	decision	NOUN
ajst-26914	14	17	-	-	PUNCT
ajst-26914	14	18	making	making	NOUN
ajst-26914	14	19	.	.	PUNCT
ajst-26914	15	1	it	it	PRON
ajst-26914	15	2	combines	combine	VERB
ajst-26914	15	3	prior	prior	ADJ
ajst-26914	15	4	information	information	NOUN
ajst-26914	15	5	and	and	CCONJ
ajst-26914	15	6	sample	sample	NOUN
ajst-26914	15	7	information	information	NOUN
ajst-26914	15	8	,	,	PUNCT
ajst-26914	15	9	obtains	obtain	VERB
ajst-26914	15	10	posterior	posterior	ADJ
ajst-26914	15	11	information	information	NOUN
ajst-26914	15	12	based	base	VERB
ajst-26914	15	13	on	on	ADP
ajst-26914	15	14	bayesian	bayesian	NOUN
ajst-26914	15	15	formulas	formula	NOUN
ajst-26914	15	16	,	,	PUNCT
ajst-26914	15	17	and	and	CCONJ
ajst-26914	15	18	then	then	ADV
ajst-26914	15	19	infers	infer	VERB
ajst-26914	15	20	unknown	unknown	ADJ
ajst-26914	15	21	parameters	parameter	NOUN
ajst-26914	15	22	based	base	VERB
ajst-26914	15	23	on	on	ADP
ajst-26914	15	24	the	the	DET
ajst-26914	15	25	posterior	posterior	ADJ
ajst-26914	15	26	information	information	NOUN
ajst-26914	15	27	ranked	rank	VERB
ajst-26914	15	28	set	set	ADJ
ajst-26914	15	29	sampling	sampling	NOUN
ajst-26914	15	30	(	(	PUNCT
ajst-26914	15	31	rss	rss	NOUN
ajst-26914	15	32	)	)	PUNCT
ajst-26914	15	33	was	be	AUX
ajst-26914	15	34	introduced	introduce	VERB
ajst-26914	15	35	by	by	ADP
ajst-26914	15	36	mcintyre	mcintyre	PROPN
ajst-26914	15	37	to	to	ADP
ajst-26914	15	38	estimated	estimate	VERB
ajst-26914	15	39	pasture	pasture	NOUN
ajst-26914	15	40	yields[1	yields[1	PRON
ajst-26914	15	41	]	]	PUNCT
ajst-26914	15	42	.	.	PUNCT
ajst-26914	16	1	rss	rss	PROPN
ajst-26914	16	2	has	have	AUX
ajst-26914	16	3	been	be	AUX
ajst-26914	16	4	used	use	VERB
ajst-26914	16	5	in	in	ADP
ajst-26914	16	6	many	many	ADJ
ajst-26914	16	7	fields	field	NOUN
ajst-26914	16	8	such	such	ADJ
ajst-26914	16	9	as	as	ADP
ajst-26914	16	10	environment	environment	NOUN
ajst-26914	16	11	and	and	CCONJ
ajst-26914	16	12	sociology	sociology	NOUN
ajst-26914	16	13	.	.	PUNCT
ajst-26914	17	1	since	since	SCONJ
ajst-26914	17	2	robbins	robbin	NOUN
ajst-26914	17	3	proposed	propose	VERB
ajst-26914	17	4	empirical	empirical	ADJ
ajst-26914	17	5	bayes	bayes	PROPN
ajst-26914	17	6	(	(	PUNCT
ajst-26914	17	7	eb	eb	PROPN
ajst-26914	17	8	)	)	PUNCT
ajst-26914	17	9	approach	approach	NOUN
ajst-26914	17	10	,	,	PUNCT
ajst-26914	17	11	it	it	PRON
ajst-26914	17	12	has	have	AUX
ajst-26914	17	13	been	be	AUX
ajst-26914	17	14	developed	develop	VERB
ajst-26914	17	15	[	[	PUNCT
ajst-26914	17	16	2	2	NUM
ajst-26914	17	17	-	-	SYM
ajst-26914	17	18	9	9	NUM
ajst-26914	17	19	]	]	PUNCT
ajst-26914	17	20	.	.	PUNCT
ajst-26914	18	1	in	in	ADP
ajst-26914	18	2	this	this	DET
ajst-26914	18	3	paper	paper	NOUN
ajst-26914	18	4	,	,	PUNCT
ajst-26914	18	5	we	we	PRON
ajst-26914	18	6	obtain	obtain	VERB
ajst-26914	18	7	empirical	empirical	ADJ
ajst-26914	18	8	bayes	bayes	NOUN
ajst-26914	18	9	likelihood	likelihood	NOUN
ajst-26914	18	10	test	test	NOUN
ajst-26914	18	11	rule	rule	NOUN
ajst-26914	18	12	for	for	ADP
ajst-26914	18	13	exponential	exponential	ADJ
ajst-26914	18	14	distribution	distribution	NOUN
ajst-26914	18	15	based	base	VERB
ajst-26914	18	16	on	on	ADP
ajst-26914	18	17	ranked	rank	VERB
ajst-26914	18	18	set	set	ADJ
ajst-26914	18	19	sampling	sampling	NOUN
ajst-26914	18	20	.	.	PUNCT
ajst-26914	19	1	let	let	VERB
ajst-26914	19	2	x	x	PRON
ajst-26914	19	3	have	have	VERB
ajst-26914	19	4	a	a	DET
ajst-26914	19	5	conditional	conditional	ADJ
ajst-26914	19	6	density	density	NOUN
ajst-26914	19	7	function	function	NOUN
ajst-26914	19	8	for	for	ADP
ajst-26914	19	9	given	give	VERB
ajst-26914	19	10	θ	θ	PROPN
ajst-26914	19	11			NOUN
ajst-26914	19	12			PUNCT
ajst-26914	19	13			NOUN
ajst-26914	19	14			SYM
ajst-26914	19	15			NOUN
ajst-26914	19	16			PUNCT
ajst-26914	19	17			PROPN
ajst-26914	19	18	|	|	NOUN
ajst-26914	19	19	expf	expf	VERB
ajst-26914	19	20	x	x	NOUN
ajst-26914	19	21	m	m	VERB
ajst-26914	19	22	x	x	X
ajst-26914	19	23	h	h	NOUN
ajst-26914	19	24	x	x	PROPN
ajst-26914	19	25			PROPN
ajst-26914	20	1			PROPN
ajst-26914	20	2			PROPN
ajst-26914	20	3	(	(	PUNCT
ajst-26914	20	4	1.1	1.1	NUM
ajst-26914	20	5	)	)	PUNCT
ajst-26914	20	6	where	where	SCONJ
ajst-26914	20	7	θ	θ	PROPN
ajst-26914	20	8	is	be	AUX
ajst-26914	20	9	unknown	unknown	ADJ
ajst-26914	20	10	parameter	parameter	NOUN
ajst-26914	20	11	,	,	PUNCT
ajst-26914	20	12			PROPN
ajst-26914	20	13	1	1	X
ajst-26914	20	14	2x	2x	VERB
ajst-26914	20	15	a	a	DET
ajst-26914	20	16	x	x	X
ajst-26914	20	17	a	a	PROPN
ajst-26914	20	18			NOUN
ajst-26914	20	19			VERB
ajst-26914	20	20			NUM
ajst-26914	20	21			PROPN
ajst-26914	20	22			PROPN
ajst-26914	21	1			PROPN
ajst-26914	21	2	is	be	AUX
ajst-26914	21	3	the	the	DET
ajst-26914	21	4	sample	sample	NOUN
ajst-26914	21	5	space	space	NOUN
ajst-26914	21	6	and	and	CCONJ
ajst-26914	21	7			NOUN
ajst-26914	22	1			SYM
ajst-26914	22	2			NOUN
ajst-26914	22	3			NOUN
ajst-26914	22	4	10	10	VERB
ajst-26914	22	5	|	|	ADV
ajst-26914	22	6	0	0	NUM
ajst-26914	23	1	xh	xh	PROPN
ajst-26914	23	2	m	m	VERB
ajst-26914	24	1	x	x	VERB
ajst-26914	24	2	e	e	X
ajst-26914	24	3	dx	dx	PROPN
ajst-26914	24	4			PROPN
ajst-26914	24	5			PROPN
ajst-26914	24	6			PROPN
ajst-26914	24	7			PROPN
ajst-26914	24	8			PRON
ajst-26914	25	1			INTJ
ajst-26914	25	2			PROPN
ajst-26914	26	1			NUM
ajst-26914	27	1			PROPN
ajst-26914	27	2			PRON
ajst-26914	27	3	is	be	AUX
ajst-26914	27	4	parameter	parameter	NOUN
ajst-26914	27	5	space	space	NOUN
ajst-26914	27	6	.	.	PUNCT
ajst-26914	28	1	we	we	PRON
ajst-26914	28	2	discuss	discuss	VERB
ajst-26914	28	3	the	the	DET
ajst-26914	28	4	following	follow	VERB
ajst-26914	28	5	test	test	NOUN
ajst-26914	28	6	problem	problem	NOUN
ajst-26914	28	7	:	:	PUNCT
ajst-26914	28	8	0	0	NUM
ajst-26914	28	9	0	0	NUM
ajst-26914	28	10	1	1	NUM
ajst-26914	28	11	0	0	NUM
ajst-26914	28	12	:	:	PUNCT
ajst-26914	28	13	:	:	PUNCT
ajst-26914	28	14	h	h	NOUN
ajst-26914	28	15	h	h	NOUN
ajst-26914	28	16			PROPN
ajst-26914	28	17			X
ajst-26914	28	18			PROPN
ajst-26914	28	19			ADJ
ajst-26914	28	20			PROPN
ajst-26914	28	21	(	(	PUNCT
ajst-26914	28	22	1.2	1.2	NUM
ajst-26914	28	23	)	)	PUNCT
ajst-26914	28	24	where	where	SCONJ
ajst-26914	28	25	h0	h0	NOUN
ajst-26914	28	26	is	be	AUX
ajst-26914	28	27	given	give	VERB
ajst-26914	28	28	constants	constant	NOUN
ajst-26914	28	29	.	.	PUNCT
ajst-26914	29	1	we	we	PRON
ajst-26914	29	2	choose	choose	VERB
ajst-26914	29	3	loss	loss	NOUN
ajst-26914	29	4	function	function	NOUN
ajst-26914	29	5			NOUN
ajst-26914	29	6			SYM
ajst-26914	29	7			NOUN
ajst-26914	29	8			SYM
ajst-26914	29	9			NOUN
ajst-26914	29	10			SYM
ajst-26914	29	11			NOUN
ajst-26914	29	12			SYM
ajst-26914	29	13			NOUN
ajst-26914	29	14			SYM
ajst-26914	29	15			NOUN
ajst-26914	29	16			PUNCT
ajst-26914	29	17	0	0	NUM
ajst-26914	29	18	0	0	NUM
ajst-26914	29	19	0	0	NUM
ajst-26914	29	20	0	0	NUM
ajst-26914	29	21	0	0	NUM
ajst-26914	29	22	1	1	NUM
ajst-26914	29	23	1	1	NUM
ajst-26914	29	24	0	0	NUM
ajst-26914	29	25	,	,	PUNCT
ajst-26914	29	26	,	,	PUNCT
ajst-26914	29	27	,	,	PUNCT
ajst-26914	29	28	.	.	PUNCT
ajst-26914	30	1	l	l	PUNCT
ajst-26914	31	1	d	d	X
ajst-26914	31	2	a	a	PRON
ajst-26914	32	1	i	i	NOUN
ajst-26914	32	2	l	l	NOUN
ajst-26914	33	1	d	d	NOUN
ajst-26914	33	2	a	a	X
ajst-26914	33	3	i	i	PRON
ajst-26914	33	4			X
ajst-26914	33	5			X
ajst-26914	33	6			PROPN
ajst-26914	33	7			X
ajst-26914	33	8			X
ajst-26914	33	9			X
ajst-26914	33	10			X
ajst-26914	33	11			X
ajst-26914	33	12			PROPN
ajst-26914	34	1			PROPN
ajst-26914	34	2			PROPN
ajst-26914	34	3			PROPN
ajst-26914	35	1			PROPN
ajst-26914	35	2			PROPN
ajst-26914	35	3			INTJ
ajst-26914	35	4			PROPN
ajst-26914	35	5			PRON
ajst-26914	35	6			NOUN
ajst-26914	35	7	where	where	SCONJ
ajst-26914	35	8	0	0	NUM
ajst-26914	35	9	10	10	NUM
ajst-26914	35	10	,	,	PUNCT
ajst-26914	35	11	{	{	PUNCT
ajst-26914	35	12	,	,	PUNCT
ajst-26914	35	13	}	}	PUNCT
ajst-26914	35	14	a	a	DET
ajst-26914	35	15	d	d	X
ajst-26914	35	16	d	d	X
ajst-26914	35	17	d	d	PROPN
ajst-26914	35	18			PROPN
ajst-26914	35	19	is	be	AUX
ajst-26914	35	20	action	action	NOUN
ajst-26914	35	21	space	space	NOUN
ajst-26914	35	22	,	,	PUNCT
ajst-26914	35	23	0	0	NUM
ajst-26914	35	24	1d	1d	NUM
ajst-26914	35	25	and	and	CCONJ
ajst-26914	35	26	d	d	NOUN
ajst-26914	35	27	imply	imply	VERB
ajst-26914	35	28	acceptance	acceptance	NOUN
ajst-26914	35	29	and	and	CCONJ
ajst-26914	35	30	rejection	rejection	NOUN
ajst-26914	35	31	of	of	ADP
ajst-26914	35	32	0h	0h	NUM
ajst-26914	35	33	respectively	respectively	ADV
ajst-26914	35	34	.	.	PUNCT
ajst-26914	36	1	suppose	suppose	VERB
ajst-26914	36	2	that	that	SCONJ
ajst-26914	36	3	the	the	DET
ajst-26914	36	4	prior	prior	ADJ
ajst-26914	36	5	distribution	distribution	NOUN
ajst-26914	36	6	(	(	PUNCT
ajst-26914	36	7	)	)	PUNCT
ajst-26914	36	8	g	g	NOUN
ajst-26914	36	9			PROPN
ajst-26914	36	10	of	of	ADP
ajst-26914	36	11	parameter	parameter	NOUN
ajst-26914	36	12	the	the	DET
ajst-26914	36	13	θ	θ	PROPN
ajst-26914	36	14	is	be	AUX
ajst-26914	36	15	unknown	unknown	ADJ
ajst-26914	36	16	.	.	PUNCT
ajst-26914	37	1	we	we	PRON
ajst-26914	37	2	have	have	VERB
ajst-26914	37	3	random	random	ADJ
ajst-26914	37	4	decision	decision	NOUN
ajst-26914	37	5	function	function	NOUN
ajst-26914	37	6	δ(x)=p(accept	δ(x)=p(accept	X
ajst-26914	38	1	0h	0h	PROPN
ajst-26914	38	2	|x	|x	PROPN
ajst-26914	38	3	=	=	NOUN
ajst-26914	38	4	x	x	NOUN
ajst-26914	38	5	)	)	PUNCT
ajst-26914	38	6	.	.	PUNCT
ajst-26914	39	1	(	(	PUNCT
ajst-26914	39	2	1.3	1.3	NUM
ajst-26914	39	3	)	)	PUNCT
ajst-26914	39	4	then	then	ADV
ajst-26914	39	5	,	,	PUNCT
ajst-26914	39	6	the	the	DET
ajst-26914	39	7	risk	risk	NOUN
ajst-26914	39	8	function	function	NOUN
ajst-26914	39	9	of	of	ADP
ajst-26914	39	10	δ(x	δ(x	PROPN
ajst-26914	39	11	)	)	PUNCT
ajst-26914	39	12	is	be	AUX
ajst-26914	39	13	shown	show	VERB
ajst-26914	39	14	by	by	ADP
ajst-26914	39	15			NOUN
ajst-26914	39	16			PROPN
ajst-26914	39	17			NOUN
ajst-26914	39	18			NOUN
ajst-26914	40	1			PUNCT
ajst-26914	40	2			NOUN
ajst-26914	40	3			SYM
ajst-26914	40	4			NOUN
ajst-26914	40	5			SYM
ajst-26914	40	6			NOUN
ajst-26914	40	7			SYM
ajst-26914	40	8			NOUN
ajst-26914	40	9			SYM
ajst-26914	40	10			NOUN
ajst-26914	40	11			PUNCT
ajst-26914	40	12			NOUN
ajst-26914	41	1			NOUN
ajst-26914	42	1			PUNCT
ajst-26914	42	2			NOUN
ajst-26914	42	3			SYM
ajst-26914	42	4			NOUN
ajst-26914	42	5			SYM
ajst-26914	42	6			NOUN
ajst-26914	42	7			PUNCT
ajst-26914	42	8	0	0	SYM
ajst-26914	42	9	0	0	NUM
ajst-26914	42	10	1	1	NUM
ajst-26914	42	11	1	1	NUM
ajst-26914	42	12	,	,	PUNCT
ajst-26914	42	13	,	,	PUNCT
ajst-26914	42	14	|	|	ADV
ajst-26914	42	15	,	,	PUNCT
ajst-26914	42	16	|	|	ADV
ajst-26914	42	17	1	1	NUM
ajst-26914	42	18	g	g	NOUN
ajst-26914	42	19	r	r	NOUN
ajst-26914	42	20	x	x	SYM
ajst-26914	42	21	g	g	NOUN
ajst-26914	42	22	l	l	NOUN
ajst-26914	43	1	d	d	X
ajst-26914	43	2	f	f	X
ajst-26914	43	3	x	x	X
ajst-26914	43	4	x	x	PUNCT
ajst-26914	43	5	l	l	PUNCT
ajst-26914	43	6	d	d	X
ajst-26914	43	7	f	f	X
ajst-26914	43	8	x	x	PUNCT
ajst-26914	43	9	x	x	PUNCT
ajst-26914	43	10	dxdg	dxdg	VERB
ajst-26914	43	11	a	a	DET
ajst-26914	43	12	x	x	NOUN
ajst-26914	43	13	x	x	X
ajst-26914	43	14	dx	dx	PROPN
ajst-26914	43	15	c	c	PROPN
ajst-26914	43	16			NUM
ajst-26914	43	17			X
ajst-26914	43	18			X
ajst-26914	43	19			PROPN
ajst-26914	44	1			NUM
ajst-26914	44	2			X
ajst-26914	44	3			X
ajst-26914	45	1			NUM
ajst-26914	45	2			X
ajst-26914	45	3			PROPN
ajst-26914	45	4			PROPN
ajst-26914	45	5			PROPN
ajst-26914	45	6			PROPN
ajst-26914	45	7			PROPN
ajst-26914	46	1			ADJ
ajst-26914	46	2			PROPN
ajst-26914	46	3			PROPN
ajst-26914	46	4			PROPN
ajst-26914	46	5			PROPN
ajst-26914	46	6			ADV
ajst-26914	46	7			PUNCT
ajst-26914	46	8			X
ajst-26914	46	9			X
ajst-26914	46	10	where	where	SCONJ
ajst-26914	46	11			NOUN
ajst-26914	46	12			SYM
ajst-26914	46	13			NOUN
ajst-26914	46	14	1	1	ADJ
ajst-26914	46	15	1	1	NUM
ajst-26914	46	16	,	,	PUNCT
ajst-26914	46	17	,	,	PUNCT
ajst-26914	46	18	gc	gc	PROPN
ajst-26914	46	19	l	l	PROPN
ajst-26914	46	20	d	d	PROPN
ajst-26914	46	21	dg	dg	VERB
ajst-26914	46	22			X
ajst-26914	46	23			PROPN
ajst-26914	47	1			NUM
ajst-26914	48	1			NOUN
ajst-26914	48	2			NOUN
ajst-26914	49	1			SYM
ajst-26914	49	2			NOUN
ajst-26914	49	3			SYM
ajst-26914	49	4			NOUN
ajst-26914	49	5			SYM
ajst-26914	49	6			NOUN
ajst-26914	50	1	0	0	NOUN
ajst-26914	51	1	|x	|x	VERB
ajst-26914	52	1	f	f	X
ajst-26914	52	2	x	x	X
ajst-26914	52	3	dg	dg	PROPN
ajst-26914	52	4			PROPN
ajst-26914	52	5			X
ajst-26914	52	6			PROPN
ajst-26914	52	7			PROPN
ajst-26914	52	8			PROPN
ajst-26914	52	9			VERB
ajst-26914	52	10			NOUN
ajst-26914	52	11			NOUN
ajst-26914	52	12			PUNCT
ajst-26914	52	13	.	.	PUNCT
ajst-26914	53	1	(	(	PUNCT
ajst-26914	53	2	1.4	1.4	NUM
ajst-26914	53	3	)	)	PUNCT
ajst-26914	53	4	the	the	DET
ajst-26914	53	5	marginal	marginal	ADJ
ajst-26914	53	6	density	density	NOUN
ajst-26914	53	7	function	function	NOUN
ajst-26914	53	8	of	of	ADP
ajst-26914	53	9	x	x	PROPN
ajst-26914	53	10	is	be	AUX
ajst-26914	53	11	shown	show	VERB
ajst-26914	53	12	by	by	ADP
ajst-26914	53	13	208	208	NUM
ajst-26914	53	14			NOUN
ajst-26914	53	15			SYM
ajst-26914	53	16			NOUN
ajst-26914	54	1			SYM
ajst-26914	54	2			NOUN
ajst-26914	54	3			SYM
ajst-26914	54	4			NOUN
ajst-26914	54	5			SYM
ajst-26914	54	6			NOUN
ajst-26914	54	7			SYM
ajst-26914	54	8			NOUN
ajst-26914	54	9			SYM
ajst-26914	54	10			NOUN
ajst-26914	54	11			SYM
ajst-26914	54	12			NOUN
ajst-26914	54	13			PUNCT
ajst-26914	54	14	|g	|g	VERB
ajst-26914	54	15	x	x	X
ajst-26914	54	16	f	f	NOUN
ajst-26914	54	17	x	x	SYM
ajst-26914	54	18	f	f	X
ajst-26914	54	19	x	x	X
ajst-26914	54	20	dg	dg	PROPN
ajst-26914	54	21	m	m	VERB
ajst-26914	54	22	x	x	VERB
ajst-26914	54	23	h	h	NOUN
ajst-26914	54	24	e	e	NOUN
ajst-26914	54	25	dg	dg	X
ajst-26914	54	26	m	m	VERB
ajst-26914	54	27	x	x	X
ajst-26914	54	28	p	p	VERB
ajst-26914	54	29	x	x	X
ajst-26914	54	30			X
ajst-26914	54	31			X
ajst-26914	54	32			PROPN
ajst-26914	54	33			X
ajst-26914	55	1			NOUN
ajst-26914	55	2			VERB
ajst-26914	55	3			NOUN
ajst-26914	55	4			ADJ
ajst-26914	56	1			PRON
ajst-26914	56	2			NOUN
ajst-26914	56	3			PUNCT
ajst-26914	56	4			PROPN
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ajst-26914	56	6			NOUN
ajst-26914	56	7			SYM
ajst-26914	56	8			NOUN
ajst-26914	56	9			PUNCT
ajst-26914	56	10			NOUN
ajst-26914	57	1	xp	xp	NOUN
ajst-26914	57	2	x	x	PUNCT
ajst-26914	57	3	h	h	NOUN
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ajst-26914	57	5	dg	dg	PROPN
ajst-26914	57	6			NOUN
ajst-26914	57	7			NOUN
ajst-26914	57	8			ADJ
ajst-26914	57	9			X
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ajst-26914	58	2			NOUN
ajst-26914	58	3			SYM
ajst-26914	58	4			NOUN
ajst-26914	58	5	1	1	NOUN
ajst-26914	58	6	z	z	NOUN
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ajst-26914	59	1	z	z	NOUN
ajst-26914	59	2	h	h	NOUN
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ajst-26914	59	5	e	e	PROPN
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ajst-26914	59	7			PROPN
ajst-26914	60	1			PROPN
ajst-26914	60	2			PROPN
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ajst-26914	60	5			ADV
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ajst-26914	60	9			NOUN
ajst-26914	61	1			PUNCT
ajst-26914	61	2			NOUN
ajst-26914	61	3			SYM
ajst-26914	61	4			NOUN
ajst-26914	61	5			SYM
ajst-26914	61	6			NOUN
ajst-26914	61	7			SYM
ajst-26914	61	8			NOUN
ajst-26914	61	9			SYM
ajst-26914	61	10			NOUN
ajst-26914	61	11			SYM
ajst-26914	61	12			NOUN
ajst-26914	61	13			SYM
ajst-26914	61	14			NOUN
ajst-26914	61	15			PUNCT
ajst-26914	61	16			NOUN
ajst-26914	61	17			PROPN
ajst-26914	61	18	1	1	NUM
ajst-26914	61	19	|	|	ADV
ajst-26914	61	20	y	y	PROPN
ajst-26914	61	21	x	x	PROPN
ajst-26914	61	22	gx	gx	PROPN
ajst-26914	61	23	f	f	PROPN
ajst-26914	61	24	x	x	X
ajst-26914	61	25	dg	dg	PROPN
ajst-26914	61	26	m	m	VERB
ajst-26914	61	27	x	x	VERB
ajst-26914	61	28	h	h	NOUN
ajst-26914	61	29	e	e	NOUN
ajst-26914	61	30	dydg	dydg	NOUN
ajst-26914	61	31	m	m	VERB
ajst-26914	61	32	x	x	X
ajst-26914	61	33	p	p	X
ajst-26914	61	34	y	y	PROPN
ajst-26914	61	35	dy	dy	NOUN
ajst-26914	61	36	m	m	VERB
ajst-26914	61	37	x	x	PUNCT
ajst-26914	61	38	x	x	X
ajst-26914	61	39			ADJ
ajst-26914	61	40			X
ajst-26914	61	41			X
ajst-26914	61	42			PROPN
ajst-26914	61	43			PROPN
ajst-26914	61	44			NOUN
ajst-26914	61	45			VERB
ajst-26914	61	46			NOUN
ajst-26914	61	47			PROPN
ajst-26914	61	48			NOUN
ajst-26914	61	49			VERB
ajst-26914	61	50			PRON
ajst-26914	61	51			PRON
ajst-26914	61	52			NOUN
ajst-26914	61	53			NOUN
ajst-26914	61	54			X
ajst-26914	61	55			NOUN
ajst-26914	61	56			X
ajst-26914	62	1			NOUN
ajst-26914	62	2			SYM
ajst-26914	62	3			NOUN
ajst-26914	62	4			SYM
ajst-26914	62	5			NOUN
ajst-26914	62	6			SYM
ajst-26914	62	7			NOUN
ajst-26914	62	8	1	1	INTJ
ajst-26914	62	9	,	,	PUNCT
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ajst-26914	62	11	g	g	NOUN
ajst-26914	62	12	x	x	X
ajst-26914	62	13	x	x	X
ajst-26914	62	14	p	p	X
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ajst-26914	62	16	dy	dy	NOUN
ajst-26914	62	17	h	h	NOUN
ajst-26914	62	18	e	e	PROPN
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ajst-26914	62	20			PROPN
ajst-26914	62	21			X
ajst-26914	62	22			X
ajst-26914	62	23			VERB
ajst-26914	62	24			NOUN
ajst-26914	62	25			PROPN
ajst-26914	62	26			PRON
ajst-26914	62	27			PROPN
ajst-26914	62	28			PUNCT
ajst-26914	62	29	(	(	PUNCT
ajst-26914	62	30	1.5	1.5	NUM
ajst-26914	62	31	)	)	PUNCT
ajst-26914	62	32	by	by	ADP
ajst-26914	62	33	(	(	PUNCT
ajst-26914	62	34	1.5	1.5	NUM
ajst-26914	62	35	)	)	PUNCT
ajst-26914	62	36	,	,	PUNCT
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ajst-26914	62	38	have	have	VERB
ajst-26914	62	39			NOUN
ajst-26914	63	1			PUNCT
ajst-26914	63	2			NOUN
ajst-26914	63	3			SYM
ajst-26914	63	4			NOUN
ajst-26914	63	5			PUNCT
ajst-26914	63	6			PROPN
ajst-26914	64	1	0n	0n	PROPN
ajst-26914	65	1	n	n	CCONJ
ajst-26914	66	1	nx	nx	NOUN
ajst-26914	66	2	f	f	X
ajst-26914	66	3	x	x	X
ajst-26914	66	4	m	m	VERB
ajst-26914	66	5	x	x	X
ajst-26914	66	6	x	x	PROPN
ajst-26914	66	7			PROPN
ajst-26914	66	8			X
ajst-26914	66	9			PROPN
ajst-26914	66	10	where	where	SCONJ
ajst-26914	66	11			NOUN
ajst-26914	66	12			SYM
ajst-26914	66	13			NOUN
ajst-26914	66	14			SYM
ajst-26914	66	15			NOUN
ajst-26914	66	16			SYM
ajst-26914	66	17			NOUN
ajst-26914	66	18			PUNCT
ajst-26914	66	19			PROPN
ajst-26914	66	20			PROPN
ajst-26914	66	21			NOUN
ajst-26914	66	22			PUNCT
ajst-26914	67	1	x	x	PUNCT
ajst-26914	67	2	xg	xg	NOUN
ajst-26914	67	3	g	g	NOUN
ajst-26914	67	4	x	x	PUNCT
ajst-26914	67	5	x	x	X
ajst-26914	67	6	if	if	SCONJ
ajst-26914	67	7	y	y	PROPN
ajst-26914	67	8	x	x	X
ajst-26914	67	9	p	p	X
ajst-26914	67	10	y	y	PROPN
ajst-26914	67	11	dy	dy	X
ajst-26914	67	12	dy	dy	NOUN
ajst-26914	67	13	e	e	PROPN
ajst-26914	67	14	m	m	VERB
ajst-26914	67	15	y	y	NOUN
ajst-26914	67	16	m	m	ADJ
ajst-26914	67	17	x	x	NOUN
ajst-26914	67	18			NOUN
ajst-26914	67	19			VERB
ajst-26914	67	20			VERB
ajst-26914	67	21			NOUN
ajst-26914	67	22			NOUN
ajst-26914	67	23			PROPN
ajst-26914	68	1			NUM
ajst-26914	69	1			PROPN
ajst-26914	70	1			PROPN
ajst-26914	70	2			NOUN
ajst-26914	71	1			PROPN
ajst-26914	71	2			ADJ
ajst-26914	71	3			NOUN
ajst-26914	71	4			PUNCT
ajst-26914	71	5			X
ajst-26914	71	6	.	.	PUNCT
ajst-26914	72	1	using	use	VERB
ajst-26914	72	2	(	(	PUNCT
ajst-26914	72	3	1.5	1.5	NUM
ajst-26914	72	4	)	)	PUNCT
ajst-26914	72	5	,	,	PUNCT
ajst-26914	72	6	bayes	bayes	PROPN
ajst-26914	72	7	test	test	NOUN
ajst-26914	72	8	function	function	NOUN
ajst-26914	72	9	is	be	AUX
ajst-26914	72	10	obtained	obtain	VERB
ajst-26914	72	11	as	as	SCONJ
ajst-26914	72	12	follows	follow	VERB
ajst-26914	72	13			NOUN
ajst-26914	72	14			SYM
ajst-26914	72	15			NOUN
ajst-26914	73	1			PUNCT
ajst-26914	73	2			NOUN
ajst-26914	73	3			PROPN
ajst-26914	73	4	1	1	NUM
ajst-26914	73	5	,	,	PUNCT
ajst-26914	73	6	0	0	NUM
ajst-26914	73	7	,	,	PUNCT
ajst-26914	73	8	0	0	NUM
ajst-26914	73	9	,	,	PUNCT
ajst-26914	73	10	0	0	NUM
ajst-26914	73	11	.	.	PUNCT
ajst-26914	74	1	g	g	NOUN
ajst-26914	74	2	x	x	PUNCT
ajst-26914	74	3	x	x	PUNCT
ajst-26914	74	4	x	x	PUNCT
ajst-26914	74	5			PROPN
ajst-26914	74	6			NUM
ajst-26914	74	7			PROPN
ajst-26914	74	8			PROPN
ajst-26914	74	9			NOUN
ajst-26914	74	10			SCONJ
ajst-26914	74	11	further	far	ADV
ajst-26914	74	12	,	,	PUNCT
ajst-26914	74	13	we	we	PRON
ajst-26914	74	14	obtian	obtian	VERB
ajst-26914	74	15	the	the	DET
ajst-26914	74	16	minimum	minimum	ADJ
ajst-26914	74	17	bayes	bayes	NOUN
ajst-26914	74	18	risk	risk	NOUN
ajst-26914	74	19	as	as	SCONJ
ajst-26914	74	20	follows	follow	VERB
ajst-26914	74	21			NOUN
ajst-26914	75	1			SYM
ajst-26914	75	2			NOUN
ajst-26914	75	3			SYM
ajst-26914	75	4			NOUN
ajst-26914	75	5			SYM
ajst-26914	75	6			NOUN
ajst-26914	75	7			PUNCT
ajst-26914	75	8			PROPN
ajst-26914	75	9			PROPN
ajst-26914	75	10	inf	inf	NOUN
ajst-26914	75	11	,	,	PUNCT
ajst-26914	75	12	,	,	PUNCT
ajst-26914	75	13	.	.	PUNCT
ajst-26914	76	1	g	g	NOUN
ajst-26914	76	2	g	g	PROPN
ajst-26914	76	3	g	g	PROPN
ajst-26914	76	4	r	r	NOUN
ajst-26914	76	5	g	g	NOUN
ajst-26914	76	6	r	r	NOUN
ajst-26914	76	7	g	g	NOUN
ajst-26914	76	8	r	r	NOUN
ajst-26914	76	9	g	g	NOUN
ajst-26914	76	10	a	a	DET
ajst-26914	76	11	x	x	X
ajst-26914	76	12	x	x	X
ajst-26914	76	13	dx	dx	PROPN
ajst-26914	76	14	c	c	PROPN
ajst-26914	76	15			NUM
ajst-26914	76	16			PROPN
ajst-26914	76	17			NUM
ajst-26914	76	18			PROPN
ajst-26914	76	19			NUM
ajst-26914	76	20			PROPN
ajst-26914	77	1			NUM
ajst-26914	77	2			NOUN
ajst-26914	77	3			NOUN
ajst-26914	77	4			NOUN
ajst-26914	77	5	(	(	PUNCT
ajst-26914	77	6	1.6	1.6	NUM
ajst-26914	77	7	)	)	PUNCT
ajst-26914	77	8	from	from	ADP
ajst-26914	77	9	above	above	ADP
ajst-26914	77	10	that	that	DET
ajst-26914	77	11			NOUN
ajst-26914	77	12			SYM
ajst-26914	77	13			NOUN
ajst-26914	77	14	gx	gx	PROPN
ajst-26914	77	15	x	x	PROPN
ajst-26914	77	16			PROPN
ajst-26914	77	17	and	and	CCONJ
ajst-26914	77	18	r(g	r(g	NUM
ajst-26914	77	19	)	)	PUNCT
ajst-26914	77	20	can	can	AUX
ajst-26914	77	21	be	be	AUX
ajst-26914	77	22	obtained	obtain	VERB
ajst-26914	77	23	when	when	SCONJ
ajst-26914	77	24	the	the	DET
ajst-26914	77	25	prior	prior	ADJ
ajst-26914	77	26	distribution	distribution	NOUN
ajst-26914	77	27	of	of	ADP
ajst-26914	77	28			NOUN
ajst-26914	77	29	g	g	PROPN
ajst-26914	77	30			PROPN
ajst-26914	77	31	is	be	AUX
ajst-26914	77	32	given	give	VERB
ajst-26914	77	33	.	.	PUNCT
ajst-26914	78	1	if	if	SCONJ
ajst-26914	78	2	not	not	PART
ajst-26914	78	3	,	,	PUNCT
ajst-26914	78	4	we	we	PRON
ajst-26914	78	5	use	use	VERB
ajst-26914	78	6	the	the	DET
ajst-26914	78	7	eb	eb	PROPN
ajst-26914	78	8	method	method	NOUN
ajst-26914	78	9	.	.	PUNCT
ajst-26914	79	1	the	the	DET
ajst-26914	79	2	rest	rest	NOUN
ajst-26914	79	3	of	of	ADP
ajst-26914	79	4	this	this	DET
ajst-26914	79	5	paper	paper	NOUN
ajst-26914	79	6	is	be	AUX
ajst-26914	79	7	organized	organize	VERB
ajst-26914	79	8	as	as	SCONJ
ajst-26914	79	9	follows	follow	VERB
ajst-26914	79	10	.	.	PUNCT
ajst-26914	80	1	section	section	NOUN
ajst-26914	80	2	2	2	NUM
ajst-26914	80	3	presents	present	VERB
ajst-26914	80	4	an	an	DET
ajst-26914	80	5	eb	eb	PROPN
ajst-26914	80	6	test	test	NOUN
ajst-26914	80	7	under	under	ADP
ajst-26914	80	8	ranked	rank	VERB
ajst-26914	80	9	set	set	ADJ
ajst-26914	80	10	sampling	sampling	NOUN
ajst-26914	80	11	.	.	PUNCT
ajst-26914	81	1	in	in	ADP
ajst-26914	81	2	section	section	NOUN
ajst-26914	81	3	3	3	NUM
ajst-26914	81	4	,	,	PUNCT
ajst-26914	81	5	we	we	PRON
ajst-26914	81	6	obtain	obtain	VERB
ajst-26914	81	7	the	the	DET
ajst-26914	81	8	optimal	optimal	ADJ
ajst-26914	81	9	rate	rate	NOUN
ajst-26914	81	10	of	of	ADP
ajst-26914	81	11	convergence	convergence	NOUN
ajst-26914	81	12	of	of	ADP
ajst-26914	81	13	the	the	DET
ajst-26914	81	14	empirical	empirical	ADJ
ajst-26914	81	15	bayes	bayes	NOUN
ajst-26914	81	16	likelihood	likelihood	NOUN
ajst-26914	81	17	test	test	NOUN
ajst-26914	81	18	under	under	ADP
ajst-26914	81	19	ranked	rank	VERB
ajst-26914	81	20	set	set	ADJ
ajst-26914	81	21	sampling	sampling	NOUN
ajst-26914	81	22	.	.	PUNCT
ajst-26914	82	1	2	2	X
ajst-26914	82	2	.	.	X
ajst-26914	82	3	construction	construction	NOUN
ajst-26914	82	4	of	of	ADP
ajst-26914	82	5	empirical	empirical	ADJ
ajst-26914	82	6	bayes	bayes	PROPN
ajst-26914	82	7	likelihood	likelihood	PROPN
ajst-26914	82	8	test	test	NOUN
ajst-26914	82	9	under	under	ADP
ajst-26914	82	10	ranked	rank	VERB
ajst-26914	82	11	set	set	ADJ
ajst-26914	82	12	sampling	sampling	NOUN
ajst-26914	82	13	and	and	CCONJ
ajst-26914	82	14	dependent	dependent	ADJ
ajst-26914	82	15	data	datum	NOUN
ajst-26914	82	16	supposed	suppose	VERB
ajst-26914	82	17	that	that	SCONJ
ajst-26914	82	18	x(1)1	x(1)1	PROPN
ajst-26914	82	19	,	,	PUNCT
ajst-26914	82	20	x(1)2	x(1)2	PROPN
ajst-26914	82	21	,	,	PUNCT
ajst-26914	82	22	⋯	⋯	PROPN
ajst-26914	82	23	,	,	PUNCT
ajst-26914	82	24	x(1)m	x(1)m	PROPN
ajst-26914	82	25	,	,	PUNCT
ajst-26914	82	26	x(2)1	x(2)1	PROPN
ajst-26914	82	27	,	,	PUNCT
ajst-26914	82	28	x(2)2⋯	x(2)2⋯	PROPN
ajst-26914	82	29	,	,	PUNCT
ajst-26914	82	30	x(2)m	x(2)m	PROPN
ajst-26914	82	31	,	,	PUNCT
ajst-26914	82	32	⋯	⋯	PROPN
ajst-26914	82	33	,	,	PUNCT
ajst-26914	82	34	x(k)1	x(k)1	PROPN
ajst-26914	82	35	,	,	PUNCT
ajst-26914	82	36	x(k)2⋯,x(k)m	x(k)2⋯,x(k)m	PROPN
ajst-26914	82	37	be	be	AUX
ajst-26914	82	38	a	a	DET
ajst-26914	82	39	balanced	balanced	ADJ
ajst-26914	82	40	ranked	rank	VERB
ajst-26914	82	41	set	set	VERB
ajst-26914	82	42	sample	sample	NOUN
ajst-26914	82	43	from	from	ADP
ajst-26914	82	44	population	population	NOUN
ajst-26914	82	45	which	which	PRON
ajst-26914	82	46	has	have	VERB
ajst-26914	82	47	the	the	DET
ajst-26914	82	48	common	common	ADJ
ajst-26914	82	49	marginal	marginal	ADJ
ajst-26914	82	50	density	density	NOUN
ajst-26914	82	51	function	function	NOUN
ajst-26914	82	52	fg(x	fg(x	NUM
ajst-26914	82	53	)	)	PUNCT
ajst-26914	82	54	.	.	PUNCT
ajst-26914	83	1	we	we	PRON
ajst-26914	83	2	assume	assume	VERB
ajst-26914	83	3	perfect	perfect	ADJ
ajst-26914	83	4	ranking	ranking	NOUN
ajst-26914	83	5	.	.	PUNCT
ajst-26914	84	1	denote	denote	VERB
ajst-26914	84	2	that	that	PRON
ajst-26914	84	3	x(1)1	x(1)1	PROPN
ajst-26914	84	4	,	,	PUNCT
ajst-26914	84	5	x(1)m	x(1)m	PROPN
ajst-26914	84	6	,	,	PUNCT
ajst-26914	84	7	x(2)1	x(2)1	PROPN
ajst-26914	84	8	,	,	PUNCT
ajst-26914	84	9	x(2)m	x(2)m	PROPN
ajst-26914	84	10	,	,	PUNCT
ajst-26914	84	11	x(k)1	x(k)1	PROPN
ajst-26914	84	12	,	,	PUNCT
ajst-26914	84	13	x(k)m	x(k)m	PROPN
ajst-26914	84	14	are	be	AUX
ajst-26914	84	15	ranked	rank	VERB
ajst-26914	84	16	set	set	VERB
ajst-26914	84	17	historical	historical	ADJ
ajst-26914	84	18	samples	sample	NOUN
ajst-26914	84	19	,	,	PUNCT
ajst-26914	84	20	and	and	CCONJ
ajst-26914	84	21	x	x	X
ajst-26914	84	22	is	be	AUX
ajst-26914	84	23	present	present	ADJ
ajst-26914	84	24	sample	sample	NOUN
ajst-26914	84	25	.	.	PUNCT
ajst-26914	85	1	assume	assume	VERB
ajst-26914	85	2	f(x)∈c𝑠,𝛼	f(x)∈c𝑠,𝛼	NOUN
ajst-26914	85	3	,	,	PUNCT
ajst-26914	85	4	x∈r1	x∈r1	NOUN
ajst-26914	85	5	,	,	PUNCT
ajst-26914	85	6	where	where	SCONJ
ajst-26914	85	7	c𝑠,𝛼={g(x)|g(x	c𝑠,𝛼={g(x)|g(x	X
ajst-26914	85	8	)	)	PUNCT
ajst-26914	85	9	is	be	AUX
ajst-26914	85	10	a	a	DET
ajst-26914	85	11	probability	probability	NOUN
ajst-26914	85	12	density	density	NOUN
ajst-26914	85	13	function	function	NOUN
ajst-26914	85	14	.	.	PUNCT
ajst-26914	86	1	the	the	DET
ajst-26914	86	2	s−he	s−he	PROPN
ajst-26914	86	3	order	order	NOUN
ajst-26914	86	4	derivative	derivative	NOUN
ajst-26914	86	5	supposed	suppose	VERB
ajst-26914	86	6	that	that	SCONJ
ajst-26914	86	7	k(x	k(x	PROPN
ajst-26914	86	8	)	)	PUNCT
ajst-26914	86	9	be	be	VERB
ajst-26914	86	10	a	a	DET
ajst-26914	86	11	borel	borel	NOUN
ajst-26914	86	12	measurable	measurable	NOUN
ajst-26914	86	13	bounded	bounded	ADJ
ajst-26914	86	14	function	function	NOUN
ajst-26914	86	15	vanishing	vanish	VERB
ajst-26914	86	16	off	off	ADP
ajst-26914	86	17	(	(	PUNCT
ajst-26914	86	18	0,1	0,1	NOUN
ajst-26914	86	19	)	)	PUNCT
ajst-26914	87	1	such	such	ADJ
ajst-26914	87	2	that	that	SCONJ
ajst-26914	87	3	(	(	PUNCT
ajst-26914	87	4	a1	a1	NOUN
ajst-26914	87	5	):	):	PUNCT
ajst-26914	87	6			NOUN
ajst-26914	87	7			PROPN
ajst-26914	87	8	1	1	NUM
ajst-26914	87	9	0	0	NUM
ajst-26914	87	10	1	1	NUM
ajst-26914	87	11	,	,	PUNCT
ajst-26914	87	12	01	01	NUM
ajst-26914	87	13	0	0	NUM
ajst-26914	87	14	,	,	PUNCT
ajst-26914	87	15	1	1	NUM
ajst-26914	87	16	,	,	PUNCT
ajst-26914	87	17	,	,	PUNCT
ajst-26914	87	18	1	1	X
ajst-26914	87	19	!	!	X
ajst-26914	87	20	t	t	PROPN
ajst-26914	87	21	t	t	PROPN
ajst-26914	87	22	v	v	X
ajst-26914	87	23	k	k	PROPN
ajst-26914	87	24	v	v	X
ajst-26914	87	25	dv	dv	PROPN
ajst-26914	87	26	t	t	PROPN
ajst-26914	87	27	st	st	PROPN
ajst-26914	87	28			PROPN
ajst-26914	87	29			PROPN
ajst-26914	88	1			NUM
ajst-26914	88	2			NOUN
ajst-26914	89	1			CCONJ
ajst-26914	89	2			ADJ
ajst-26914	89	3			NOUN
ajst-26914	89	4	(	(	PUNCT
ajst-26914	89	5	2.1	2.1	NUM
ajst-26914	89	6	)	)	PUNCT
ajst-26914	89	7	empirical	empirical	ADJ
ajst-26914	89	8	likelihood	likelihood	NOUN
ajst-26914	89	9	is	be	AUX
ajst-26914	89	10	established	establish	VERB
ajst-26914	89	11	by	by	ADP
ajst-26914	89	12	1	1	NUM
ajst-26914	89	13	11	11	NUM
ajst-26914	89	14	(	(	PUNCT
ajst-26914	89	15	(	(	PUNCT
ajst-26914	89	16	)	)	PUNCT
ajst-26914	89	17	)	)	PUNCT
ajst-26914	89	18	sup	sup	NOUN
ajst-26914	89	19	,	,	PUNCT
ajst-26914	89	20	0	0	NUM
ajst-26914	89	21	,	,	PUNCT
ajst-26914	89	22	1	1	NUM
ajst-26914	89	23	,	,	PUNCT
ajst-26914	89	24	0	0	NUM
ajst-26914	89	25	n	n	CCONJ
ajst-26914	89	26	n	n	CCONJ
ajst-26914	89	27	n	n	NOUN
ajst-26914	89	28	i	i	PRON
ajst-26914	90	1	i	i	PRON
ajst-26914	90	2	i	i	PRON
ajst-26914	91	1	i	i	PRON
ajst-26914	91	2	i	i	PRON
ajst-26914	92	1	i	i	VERB
ajst-26914	92	2	ii	ii	VERB
ajst-26914	93	1	r	r	NOUN
ajst-26914	93	2	f	f	NOUN
ajst-26914	93	3	x	x	X
ajst-26914	94	1	np	np	INTJ
ajst-26914	94	2	p	p	NOUN
ajst-26914	95	1	p	p	X
ajst-26914	95	2	p	p	X
ajst-26914	95	3			ADJ
ajst-26914	95	4			NOUN
ajst-26914	95	5			ADP
ajst-26914	96	1			PROPN
ajst-26914	96	2			NUM
ajst-26914	96	3			NUM
ajst-26914	96	4			NUM
ajst-26914	96	5			X
ajst-26914	97	1			PROPN
ajst-26914	97	2			INTJ
ajst-26914	98	1			PROPN
ajst-26914	98	2			PROPN
ajst-26914	98	3			X
ajst-26914	98	4			VERB
ajst-26914	98	5	empirical	empirical	ADJ
ajst-26914	98	6	likelihood	likelihood	NOUN
ajst-26914	98	7	ratio	ratio	NOUN
ajst-26914	98	8	is	be	AUX
ajst-26914	98	9	established	establish	VERB
ajst-26914	98	10	by	by	ADP
ajst-26914	98	11	1	1	NUM
ajst-26914	98	12	(	(	PUNCT
ajst-26914	98	13	(	(	PUNCT
ajst-26914	98	14	)	)	PUNCT
ajst-26914	98	15	)	)	PUNCT
ajst-26914	98	16	2	2	NUM
ajst-26914	98	17	log	log	NOUN
ajst-26914	98	18	(	(	PUNCT
ajst-26914	98	19	(	(	PUNCT
ajst-26914	98	20	)	)	PUNCT
ajst-26914	98	21	)	)	PUNCT
ajst-26914	98	22	2	2	NUM
ajst-26914	98	23	log(1	log(1	NOUN
ajst-26914	98	24	)	)	PUNCT
ajst-26914	99	1	n	n	CCONJ
ajst-26914	100	1	i	i	PRON
ajst-26914	101	1	i	i	PRON
ajst-26914	101	2	l	l	NOUN
ajst-26914	102	1	f	f	X
ajst-26914	103	1	x	x	SYM
ajst-26914	103	2	r	r	NOUN
ajst-26914	103	3	f	f	X
ajst-26914	103	4	x	x	SYM
ajst-26914	103	5	s	s	VERB
ajst-26914	103	6			ADJ
ajst-26914	103	7			PROPN
ajst-26914	103	8			PROPN
ajst-26914	103	9			PROPN
ajst-26914	103	10			ADJ
ajst-26914	103	11			PROPN
ajst-26914	103	12	.	.	PUNCT
ajst-26914	104	1	where	where	SCONJ
ajst-26914	104	2	,	,	PUNCT
ajst-26914	104	3	s	s	VERB
ajst-26914	104	4	r	r	PROPN
ajst-26914	104	5	s	s	VERB
ajst-26914	104	6	is	be	AUX
ajst-26914	104	7	determined	determine	VERB
ajst-26914	104	8	by	by	ADP
ajst-26914	104	9	1	1	NUM
ajst-26914	104	10	1	1	NUM
ajst-26914	104	11	(	(	PUNCT
ajst-26914	104	12	)	)	PUNCT
ajst-26914	104	13	0	0	NUM
ajst-26914	104	14	1	1	NUM
ajst-26914	105	1	n	n	NOUN
ajst-26914	105	2	i	i	PRON
ajst-26914	106	1	i	i	PRON
ajst-26914	106	2	i	i	PRON
ajst-26914	106	3	s	s	VERB
ajst-26914	106	4	n	n	PRON
ajst-26914	106	5	s	s	ADP
ajst-26914	106	6			X
ajst-26914	106	7			ADP
ajst-26914	106	8			PROPN
ajst-26914	106	9			PROPN
ajst-26914	106	10			PROPN
ajst-26914	106	11			PROPN
ajst-26914	106	12	.	.	PUNCT
ajst-26914	107	1	kernel	kernel	PROPN
ajst-26914	107	2	estimator	estimator	NOUN
ajst-26914	107	3	of	of	ADP
ajst-26914	107	4	f(x	f(x	PROPN
ajst-26914	107	5	)	)	PUNCT
ajst-26914	107	6	is	be	AUX
ajst-26914	107	7	defined	define	VERB
ajst-26914	107	8	by	by	ADP
ajst-26914	107	9	i	i	NOUN
ajst-26914	107	10	=	=	SYM
ajst-26914	107	11	k(x−x(i)1/ℎ𝑛	k(x−x(i)1/ℎ𝑛	PROPN
ajst-26914	107	12	)	)	PUNCT
ajst-26914	108	1	(	(	PUNCT
ajst-26914	108	2	)	)	PUNCT
ajst-26914	108	3	f	f	PROPN
ajst-26914	108	4	x	x	PROPN
ajst-26914	108	5	where	where	SCONJ
ajst-26914	108	6	ℎ𝑛	ℎ𝑛	PROPN
ajst-26914	108	7	is	be	AUX
ajst-26914	108	8	a	a	DET
ajst-26914	108	9	positive	positive	ADJ
ajst-26914	108	10	and	and	CCONJ
ajst-26914	108	11	smoothing	smooth	VERB
ajst-26914	108	12	bandwidth	bandwidth	NOUN
ajst-26914	108	13	,	,	PUNCT
ajst-26914	108	14	and	and	CCONJ
ajst-26914	108	15	lim	lim	PROPN
ajst-26914	108	16	0n	0n	PROPN
ajst-26914	108	17	n	n	PROPN
ajst-26914	108	18	h	h	NOUN
ajst-26914	108	19			NOUN
ajst-26914	108	20			INTJ
ajst-26914	108	21	,	,	PUNCT
ajst-26914	108	22	(	(	PUNCT
ajst-26914	108	23	)	)	PUNCT
ajst-26914	108	24	arg	arg	NOUN
ajst-26914	108	25	max	max	PROPN
ajst-26914	108	26	(	(	PUNCT
ajst-26914	108	27	(	(	PUNCT
ajst-26914	108	28	)	)	PUNCT
ajst-26914	108	29	)	)	PUNCT
ajst-26914	108	30	nf	nf	NOUN
ajst-26914	109	1	x	x	SYM
ajst-26914	109	2	r	r	NOUN
ajst-26914	109	3	f	f	X
ajst-26914	109	4	x	x	PROPN
ajst-26914	109	5	.	.	PUNCT
ajst-26914	110	1	thus	thus	ADV
ajst-26914	110	2	,	,	PUNCT
ajst-26914	110	3	the	the	DET
ajst-26914	110	4	estimator	estimator	NOUN
ajst-26914	110	5	of	of	ADP
ajst-26914	110	6	(	(	PUNCT
ajst-26914	110	7	)	)	PUNCT
ajst-26914	110	8	x	x	PROPN
ajst-26914	110	9	is	be	AUX
ajst-26914	110	10	shown	show	VERB
ajst-26914	110	11	by	by	ADP
ajst-26914	110	12			NOUN
ajst-26914	110	13			PROPN
ajst-26914	110	14			NOUN
ajst-26914	110	15			SYM
ajst-26914	110	16			NOUN
ajst-26914	110	17			PUNCT
ajst-26914	110	18			PROPN
ajst-26914	111	1	0n	0n	PROPN
ajst-26914	112	1	n	n	CCONJ
ajst-26914	113	1	nx	nx	NOUN
ajst-26914	113	2	f	f	X
ajst-26914	113	3	x	x	X
ajst-26914	113	4	m	m	VERB
ajst-26914	113	5	x	x	X
ajst-26914	113	6	x	x	PROPN
ajst-26914	113	7			PROPN
ajst-26914	113	8			X
ajst-26914	113	9			X
ajst-26914	113	10	(	(	PUNCT
ajst-26914	113	11	2.2	2.2	NUM
ajst-26914	113	12	)	)	PUNCT
ajst-26914	113	13	and	and	CCONJ
ajst-26914	113	14	,	,	PUNCT
ajst-26914	113	15	the	the	DET
ajst-26914	113	16	eb	eb	PROPN
ajst-26914	113	17	test	test	NOUN
ajst-26914	113	18	function	function	NOUN
ajst-26914	113	19	is	be	AUX
ajst-26914	113	20	defined	define	VERB
ajst-26914	113	21	as	as	SCONJ
ajst-26914	113	22	follows	follow	VERB
ajst-26914	113	23			NOUN
ajst-26914	113	24			SYM
ajst-26914	113	25			NOUN
ajst-26914	114	1			PUNCT
ajst-26914	114	2			NOUN
ajst-26914	114	3			PROPN
ajst-26914	114	4	1	1	NUM
ajst-26914	114	5	,	,	PUNCT
ajst-26914	114	6	0	0	NUM
ajst-26914	114	7	0	0	NUM
ajst-26914	114	8	,	,	PUNCT
ajst-26914	114	9	0	0	NUM
ajst-26914	114	10	n	n	CCONJ
ajst-26914	114	11	n	n	CCONJ
ajst-26914	114	12	n	n	NOUN
ajst-26914	114	13	x	x	NOUN
ajst-26914	114	14	x	x	SYM
ajst-26914	114	15	x	x	PUNCT
ajst-26914	114	16			PROPN
ajst-26914	114	17			NUM
ajst-26914	114	18			PROPN
ajst-26914	114	19			PROPN
ajst-26914	114	20			NOUN
ajst-26914	114	21			ADV
ajst-26914	114	22	(	(	PUNCT
ajst-26914	114	23	2.3	2.3	NUM
ajst-26914	114	24	)	)	PUNCT
ajst-26914	114	25	let	let	VERB
ajst-26914	114	26	e	e	PRON
ajst-26914	114	27	stand	stand	VERB
ajst-26914	114	28	for	for	ADP
ajst-26914	114	29	mathematical	mathematical	ADJ
ajst-26914	114	30	expectation	expectation	NOUN
ajst-26914	114	31	with	with	ADP
ajst-26914	114	32	respect	respect	NOUN
ajst-26914	114	33	to	to	ADP
ajst-26914	114	34	the	the	DET
ajst-26914	114	35	joint	joint	ADJ
ajst-26914	114	36	distribution	distribution	NOUN
ajst-26914	114	37	of	of	ADP
ajst-26914	114	38	x(1)1	x(1)1	PROPN
ajst-26914	114	39	,	,	PUNCT
ajst-26914	114	40	x(1)2	x(1)2	PROPN
ajst-26914	114	41	,	,	PUNCT
ajst-26914	114	42	⋯	⋯	PROPN
ajst-26914	114	43	,	,	PUNCT
ajst-26914	114	44	x(1)m	x(1)m	PROPN
ajst-26914	114	45	,	,	PUNCT
ajst-26914	114	46	x(2)1	x(2)1	PROPN
ajst-26914	114	47	,	,	PUNCT
ajst-26914	114	48	x(2)2	x(2)2	PROPN
ajst-26914	114	49	,	,	PUNCT
ajst-26914	114	50	⋯	⋯	PROPN
ajst-26914	114	51	,	,	PUNCT
ajst-26914	114	52	x(2)m	x(2)m	PROPN
ajst-26914	114	53	,	,	PUNCT
ajst-26914	114	54	⋯	⋯	PROPN
ajst-26914	114	55	,	,	PUNCT
ajst-26914	114	56	x(k)1	x(k)1	PROPN
ajst-26914	114	57	,	,	PUNCT
ajst-26914	114	58	x(k)2⋯	x(k)2⋯	PROPN
ajst-26914	114	59	,	,	PUNCT
ajst-26914	114	60	x(k)m	x(k)m	PROPN
ajst-26914	114	61	.	.	PUNCT
ajst-26914	115	1	then	then	ADV
ajst-26914	115	2	,	,	PUNCT
ajst-26914	115	3	the	the	DET
ajst-26914	115	4	overall	overall	ADJ
ajst-26914	115	5	bayes	bayes	PROPN
ajst-26914	115	6	risk	risk	NOUN
ajst-26914	115	7	of	of	ADP
ajst-26914	115	8	δn	δn	NOUN
ajst-26914	115	9	is	be	AUX
ajst-26914	115	10	shown	show	VERB
ajst-26914	115	11	by	by	ADP
ajst-26914	115	12			NOUN
ajst-26914	115	13			PROPN
ajst-26914	115	14			PROPN
ajst-26914	115	15			NOUN
ajst-26914	115	16			PROPN
ajst-26914	115	17			NOUN
ajst-26914	115	18	,n	,n	PUNCT
ajst-26914	115	19	n	n	CCONJ
ajst-26914	115	20	n	n	PRON
ajst-26914	115	21	gr	gr	NOUN
ajst-26914	115	22	x	x	X
ajst-26914	116	1	g	g	ADP
ajst-26914	116	2	a	a	PRON
ajst-26914	116	3	x	x	X
ajst-26914	116	4	e	e	NOUN
ajst-26914	116	5	x	x	X
ajst-26914	116	6	dx	dx	PROPN
ajst-26914	116	7	c	c	PROPN
ajst-26914	116	8			PROPN
ajst-26914	116	9			NUM
ajst-26914	116	10			PROPN
ajst-26914	116	11			NUM
ajst-26914	116	12			PROPN
ajst-26914	116	13			NOUN
ajst-26914	116	14			PROPN
ajst-26914	116	15	if	if	SCONJ
ajst-26914	116	16			NOUN
ajst-26914	116	17			SYM
ajst-26914	116	18			NOUN
ajst-26914	116	19			PUNCT
ajst-26914	116	20			PROPN
ajst-26914	116	21			PROPN
ajst-26914	116	22	,	,	PUNCT
ajst-26914	116	23	,	,	PUNCT
ajst-26914	116	24	q	q	NOUN
ajst-26914	116	25	n	n	ADV
ajst-26914	116	26	gr	gr	ADP
ajst-26914	116	27	g	g	NOUN
ajst-26914	116	28	r	r	NOUN
ajst-26914	116	29	g	g	NOUN
ajst-26914	116	30	o	o	NOUN
ajst-26914	116	31	n	n	NOUN
ajst-26914	116	32			NUM
ajst-26914	116	33			NOUN
ajst-26914	116	34			NOUN
ajst-26914	116	35	,	,	PUNCT
ajst-26914	116	36	where	where	SCONJ
ajst-26914	116	37	𝑞>0	𝑞>0	NOUN
ajst-26914	116	38	,	,	PUNCT
ajst-26914	116	39			NOUN
ajst-26914	116	40	qo	qo	PROPN
ajst-26914	116	41	n	n	NOUN
ajst-26914	116	42	is	be	AUX
ajst-26914	116	43	asymptotic	asymptotic	ADJ
ajst-26914	116	44	optimalit	optimalit	ADJ
ajst-26914	116	45	convergence	convergence	NOUN
ajst-26914	116	46	rates	rate	NOUN
ajst-26914	116	47	of	of	ADP
ajst-26914	116	48	empirical	empirical	ADJ
ajst-26914	116	49	bayes	bayes	PROPN
ajst-26914	116	50	likelihood	likelihood	PROPN
ajst-26914	116	51	test	test	NOUN
ajst-26914	116	52	function	function	NOUN
ajst-26914	116	53	{	{	PUNCT
ajst-26914	116	54			PROPN
ajst-26914	116	55	n	n	PROPN
ajst-26914	116	56	x	x	PROPN
ajst-26914	116	57	}	}	PUNCT
ajst-26914	116	58	.	.	PUNCT
ajst-26914	117	1	before	before	ADP
ajst-26914	117	2	proving	prove	VERB
ajst-26914	117	3	the	the	DET
ajst-26914	117	4	theorems	theorem	NOUN
ajst-26914	117	5	,	,	PUNCT
ajst-26914	117	6	we	we	PRON
ajst-26914	117	7	need	need	VERB
ajst-26914	117	8	the	the	DET
ajst-26914	117	9	following	follow	VERB
ajst-26914	117	10	lemmas	lemmas	NOUN
ajst-26914	117	11	.	.	PUNCT
ajst-26914	118	1	supposed	suppose	VERB
ajst-26914	118	2	that	that	PRON
ajst-26914	118	3	c	c	NOUN
ajst-26914	118	4	,	,	PUNCT
ajst-26914	118	5	c1	c1	PROPN
ajst-26914	118	6	be	be	AUX
ajst-26914	118	7	different	different	ADJ
ajst-26914	118	8	constants	constant	NOUN
ajst-26914	118	9	in	in	ADP
ajst-26914	118	10	different	different	ADJ
ajst-26914	118	11	cases	case	NOUN
ajst-26914	118	12	even	even	ADV
ajst-26914	118	13	in	in	ADP
ajst-26914	118	14	the	the	DET
ajst-26914	118	15	same	same	ADJ
ajst-26914	118	16	expression	expression	NOUN
ajst-26914	118	17	.	.	PUNCT
ajst-26914	119	1	lemma	lemma	PROPN
ajst-26914	119	2	.	.	PUNCT
ajst-26914	119	3	r(δ𝐺,g	r(δ𝐺,g	PROPN
ajst-26914	119	4	)	)	PUNCT
ajst-26914	119	5	and	and	CCONJ
ajst-26914	119	6	r(δ𝑛,g	r(δ𝑛,g	PROPN
ajst-26914	119	7	)	)	PUNCT
ajst-26914	119	8	are	be	AUX
ajst-26914	119	9	defined	define	VERB
ajst-26914	119	10	by	by	ADP
ajst-26914	119	11	above	above	ADV
ajst-26914	119	12	,	,	PUNCT
ajst-26914	119	13	then	then	ADV
ajst-26914	119	14	0≤r(δ𝑛,g)−r(δ𝐺,g)≤c∫ω|β(x)|𝑃(|β𝑛(x)−β(x)|≥|β(x)|)dx	0≤r(δ𝑛,g)−r(δ𝐺,g)≤c∫ω|β(x)|𝑃(|β𝑛(x)−β(x)|≥|β(x)|)dx	NUM
ajst-26914	119	15	.	.	PUNCT
ajst-26914	120	1	209	209	NUM
ajst-26914	120	2	3	3	NUM
ajst-26914	120	3	.	.	PUNCT
ajst-26914	120	4	conclusion	conclusion	NOUN
ajst-26914	120	5	theorem	theorem	VERB
ajst-26914	120	6	assume	assume	PROPN
ajst-26914	120	7	(	(	PUNCT
ajst-26914	120	8	c1	c1	PROPN
ajst-26914	120	9	)	)	PUNCT
ajst-26914	120	10	and	and	CCONJ
ajst-26914	120	11	the	the	DET
ajst-26914	120	12	following	follow	VERB
ajst-26914	120	13	regularity	regularity	NOUN
ajst-26914	120	14	conditions	condition	NOUN
ajst-26914	120	15	hold	hold	VERB
ajst-26914	120	16	.	.	PUNCT
ajst-26914	121	1	where	where	SCONJ
ajst-26914	121	2			NOUN
ajst-26914	121	3	1	1	VERB
ajst-26914	121	4	2	2	NUM
ajst-26914	121	5	s	s	PART
ajst-26914	121	6	nh	nh	PROPN
ajst-26914	121	7	n	n	PROPN
ajst-26914	121	8			PROPN
ajst-26914	121	9	,	,	PUNCT
ajst-26914	121	10	(	(	PUNCT
ajst-26914	121	11	1	1	X
ajst-26914	121	12	)	)	PUNCT
ajst-26914	121	13			NOUN
ajst-26914	121	14			SYM
ajst-26914	121	15			NOUN
ajst-26914	121	16	1	1	NOUN
ajst-26914	121	17	x	x	X
ajst-26914	122	1	m	m	VERB
ajst-26914	122	2	x	x	X
ajst-26914	122	3	dx	dx	PROPN
ajst-26914	122	4			X
ajst-26914	122	5			PROPN
ajst-26914	122	6			PROPN
ajst-26914	122	7			PROPN
ajst-26914	123	1			PROPN
ajst-26914	123	2			X
ajst-26914	123	3	,	,	PUNCT
ajst-26914	123	4	(	(	PUNCT
ajst-26914	123	5	2	2	X
ajst-26914	123	6	)	)	PUNCT
ajst-26914	123	7			NOUN
ajst-26914	123	8			PUNCT
ajst-26914	123	9	1	1	NUM
ajst-26914	123	10	x	x	SYM
ajst-26914	123	11	dx	dx	PROPN
ajst-26914	123	12			PROPN
ajst-26914	123	13			PROPN
ajst-26914	123	14			PROPN
ajst-26914	123	15			PROPN
ajst-26914	123	16			PROPN
ajst-26914	123	17			X
ajst-26914	123	18	.	.	PUNCT
ajst-26914	124	1	then	then	ADV
ajst-26914	124	2	,	,	PUNCT
ajst-26914	124	3	we	we	PRON
ajst-26914	124	4	get	get	VERB
ajst-26914	124	5			NOUN
ajst-26914	124	6			PUNCT
ajst-26914	124	7			NOUN
ajst-26914	124	8			SYM
ajst-26914	124	9			NOUN
ajst-26914	124	10			PUNCT
ajst-26914	124	11			NOUN
ajst-26914	125	1			NOUN
ajst-26914	125	2	1	1	VERB
ajst-26914	125	3	2	2	NUM
ajst-26914	125	4	2	2	NUM
ajst-26914	125	5	,	,	PUNCT
ajst-26914	125	6	,	,	PUNCT
ajst-26914	125	7	s	s	NOUN
ajst-26914	125	8	s	s	X
ajst-26914	125	9	n	n	PRON
ajst-26914	125	10	gr	gr	NOUN
ajst-26914	125	11	g	g	NOUN
ajst-26914	125	12	r	r	NOUN
ajst-26914	125	13	g	g	NOUN
ajst-26914	125	14	o	o	NOUN
ajst-26914	125	15	n	n	CCONJ
ajst-26914	126	1			PROPN
ajst-26914	126	2			NUM
ajst-26914	126	3			NOUN
ajst-26914	126	4			VERB
ajst-26914	126	5			PROPN
ajst-26914	126	6			NUM
ajst-26914	126	7	proof	proof	NOUN
ajst-26914	126	8	.	.	PUNCT
ajst-26914	127	1	using	use	VERB
ajst-26914	127	2	markov	markov	PROPN
ajst-26914	127	3	's	's	PART
ajst-26914	127	4	inequality	inequality	NOUN
ajst-26914	127	5	,	,	PUNCT
ajst-26914	127	6	we	we	PRON
ajst-26914	127	7	get	get	VERB
ajst-26914	127	8			NOUN
ajst-26914	127	9			PUNCT
ajst-26914	127	10			NOUN
ajst-26914	127	11			SYM
ajst-26914	127	12			NOUN
ajst-26914	127	13			SYM
ajst-26914	127	14			NOUN
ajst-26914	127	15			SYM
ajst-26914	127	16			NOUN
ajst-26914	127	17			SYM
ajst-26914	127	18			NOUN
ajst-26914	127	19			SYM
ajst-26914	127	20			NOUN
ajst-26914	127	21			SYM
ajst-26914	127	22			NOUN
ajst-26914	127	23			SYM
ajst-26914	127	24			NOUN
ajst-26914	127	25			SYM
ajst-26914	127	26			NOUN
ajst-26914	127	27			SYM
ajst-26914	127	28			NOUN
ajst-26914	127	29			PUNCT
ajst-26914	127	30			NOUN
ajst-26914	127	31			NOUN
ajst-26914	127	32	1	1	NUM
ajst-26914	127	33	1	1	NUM
ajst-26914	127	34	1	1	NUM
ajst-26914	127	35	0	0	NUM
ajst-26914	127	36	,	,	PUNCT
ajst-26914	127	37	,	,	PUNCT
ajst-26914	127	38	n	n	CCONJ
ajst-26914	127	39	g	g	PROPN
ajst-26914	127	40	n	n	CCONJ
ajst-26914	127	41	n	n	CCONJ
ajst-26914	127	42	g	g	NOUN
ajst-26914	127	43	n	n	CCONJ
ajst-26914	127	44	g	g	PROPN
ajst-26914	127	45	n	n	CCONJ
ajst-26914	127	46	n	n	NOUN
ajst-26914	127	47	r	r	NOUN
ajst-26914	127	48	g	g	NOUN
ajst-26914	127	49	r	r	NOUN
ajst-26914	127	50	g	g	NOUN
ajst-26914	127	51	a	a	DET
ajst-26914	127	52	x	x	X
ajst-26914	127	53	e	e	NOUN
ajst-26914	127	54	x	x	PUNCT
ajst-26914	127	55	x	x	X
ajst-26914	127	56	dx	dx	PROPN
ajst-26914	127	57	c	c	NOUN
ajst-26914	127	58	x	x	PUNCT
ajst-26914	127	59	e	e	NOUN
ajst-26914	127	60	f	f	X
ajst-26914	127	61	x	x	SYM
ajst-26914	127	62	f	f	X
ajst-26914	127	63	x	x	X
ajst-26914	127	64	dx	dx	PROPN
ajst-26914	127	65	c	c	NOUN
ajst-26914	127	66	x	x	VERB
ajst-26914	127	67	m	m	VERB
ajst-26914	127	68	x	x	X
ajst-26914	127	69	e	e	NOUN
ajst-26914	127	70	x	x	SYM
ajst-26914	127	71	x	x	PROPN
ajst-26914	127	72	dx	dx	PROPN
ajst-26914	127	73			PROPN
ajst-26914	127	74			ADJ
ajst-26914	127	75			ADJ
ajst-26914	127	76			ADJ
ajst-26914	127	77			ADJ
ajst-26914	127	78			ADJ
ajst-26914	127	79			NUM
ajst-26914	127	80			NUM
ajst-26914	127	81			PROPN
ajst-26914	127	82			PROPN
ajst-26914	127	83			PROPN
ajst-26914	127	84			PROPN
ajst-26914	127	85			PROPN
ajst-26914	127	86			NOUN
ajst-26914	127	87			NOUN
ajst-26914	127	88			PROPN
ajst-26914	127	89			PROPN
ajst-26914	127	90			PROPN
ajst-26914	127	91			PROPN
ajst-26914	127	92			PROPN
ajst-26914	127	93			PROPN
ajst-26914	127	94			NOUN
ajst-26914	127	95			NOUN
ajst-26914	127	96			NOUN
ajst-26914	127	97			NOUN
ajst-26914	127	98			NOUN
ajst-26914	127	99			PROPN
ajst-26914	127	100			PUNCT
ajst-26914	127	101			PROPN
ajst-26914	127	102			PROPN
ajst-26914	127	103			VERB
ajst-26914	127	104			NOUN
ajst-26914	127	105			NOUN
ajst-26914	127	106			X
ajst-26914	127	107			X
ajst-26914	127	108	(	(	PUNCT
ajst-26914	127	109	3.1	3.1	NUM
ajst-26914	127	110	)	)	PUNCT
ajst-26914	127	111	applying	apply	VERB
ajst-26914	127	112	lemma	lemma	PROPN
ajst-26914	127	113	and	and	CCONJ
ajst-26914	127	114	the	the	DET
ajst-26914	127	115	conditions	condition	NOUN
ajst-26914	127	116	(	(	PUNCT
ajst-26914	127	117	1)-(2	1)-(2	NUM
ajst-26914	127	118	)	)	PUNCT
ajst-26914	127	119	in	in	ADP
ajst-26914	127	120	the	the	DET
ajst-26914	127	121	theorem	theorem	NOUN
ajst-26914	127	122	,	,	PUNCT
ajst-26914	127	123	we	we	PRON
ajst-26914	127	124	obtain	obtain	VERB
ajst-26914	127	125			NOUN
ajst-26914	128	1			PUNCT
ajst-26914	128	2			NOUN
ajst-26914	128	3			SYM
ajst-26914	128	4			NOUN
ajst-26914	128	5			SYM
ajst-26914	128	6			NOUN
ajst-26914	128	7			SYM
ajst-26914	128	8			NOUN
ajst-26914	128	9	11	11	NOUN
ajst-26914	128	10	2	2	NUM
ajst-26914	128	11	2	2	NUM
ajst-26914	128	12	1	1	NUM
ajst-26914	128	13	2	2	NUM
ajst-26914	128	14	2s	2	NOUN
ajst-26914	128	15	s	s	X
ajst-26914	128	16	s	s	NOUN
ajst-26914	128	17	s	s	NOUN
ajst-26914	128	18	n	n	ADP
ajst-26914	128	19	c	c	NOUN
ajst-26914	128	20	n	n	NOUN
ajst-26914	128	21	x	x	X
ajst-26914	128	22	dx	dx	PROPN
ajst-26914	128	23	c	c	PROPN
ajst-26914	128	24	n	n	PRON
ajst-26914	128	25			ADV
ajst-26914	128	26			PUNCT
ajst-26914	128	27			NOUN
ajst-26914	128	28			ADV
ajst-26914	128	29			PUNCT
ajst-26914	128	30			PROPN
ajst-26914	128	31			PROPN
ajst-26914	128	32			PUNCT
ajst-26914	128	33			PROPN
ajst-26914	128	34			VERB
ajst-26914	128	35			NOUN
ajst-26914	128	36			ADJ
ajst-26914	128	37			NOUN
ajst-26914	128	38			PROPN
ajst-26914	128	39	(	(	PUNCT
ajst-26914	128	40	3.2	3.2	NUM
ajst-26914	128	41	)	)	PUNCT
ajst-26914	128	42			NOUN
ajst-26914	128	43			SYM
ajst-26914	128	44			NOUN
ajst-26914	128	45	12	12	NUM
ajst-26914	128	46	2	2	NUM
ajst-26914	128	47	n	n	ADP
ajst-26914	128	48	c	c	NOUN
ajst-26914	128	49	n	n	NOUN
ajst-26914	128	50	x	x	SYM
ajst-26914	128	51	m	m	VERB
ajst-26914	128	52	x	x	X
ajst-26914	128	53	dx	dx	PROPN
ajst-26914	128	54	c	c	PROPN
ajst-26914	128	55	n	n	PRON
ajst-26914	128	56			VERB
ajst-26914	128	57			ADJ
ajst-26914	128	58			PUNCT
ajst-26914	129	1			PUNCT
ajst-26914	129	2			PROPN
ajst-26914	129	3			NUM
ajst-26914	129	4			VERB
ajst-26914	129	5			NOUN
ajst-26914	129	6			VERB
ajst-26914	129	7			NOUN
ajst-26914	129	8			PROPN
ajst-26914	129	9	(	(	PUNCT
ajst-26914	129	10	3.3	3.3	NUM
ajst-26914	129	11	)	)	PUNCT
ajst-26914	129	12	substituting	substitute	VERB
ajst-26914	129	13	(	(	PUNCT
ajst-26914	129	14	3.2)-	3.2)-	NUM
ajst-26914	129	15	(	(	PUNCT
ajst-26914	129	16	3.3	3.3	NUM
ajst-26914	129	17	)	)	PUNCT
ajst-26914	129	18	into	into	ADP
ajst-26914	129	19	(	(	PUNCT
ajst-26914	129	20	3.1	3.1	NUM
ajst-26914	129	21	)	)	PUNCT
ajst-26914	129	22	,	,	PUNCT
ajst-26914	129	23	remark	remark	VERB
ajst-26914	129	24	3.1	3.1	NUM
ajst-26914	129	25	.	.	PUNCT
ajst-26914	130	1	when	when	SCONJ
ajst-26914	130	2	1	1	NUM
ajst-26914	130	3			NOUN
ajst-26914	130	4	,	,	PUNCT
ajst-26914	130	5	s	s	NOUN
ajst-26914	130	6	,	,	PUNCT
ajst-26914	130	7			PROPN
ajst-26914	130	8			SYM
ajst-26914	130	9			NOUN
ajst-26914	131	1			NOUN
ajst-26914	132	1	1	1	VERB
ajst-26914	133	1	2	2	NUM
ajst-26914	133	2	2s	2s	NUM
ajst-26914	133	3	so	so	ADV
ajst-26914	133	4	n	n	CCONJ
ajst-26914	133	5			NOUN
ajst-26914	133	6			PUNCT
ajst-26914	133	7			VERB
ajst-26914	133	8	nears	near	VERB
ajst-26914	133	9			PROPN
ajst-26914	133	10	1	1	PROPN
ajst-26914	133	11	2o	2o	NOUN
ajst-26914	133	12	n	n	NOUN
ajst-26914	133	13	.	.	PUNCT
ajst-26914	134	1	acknowledgements	acknowledgement	NOUN
ajst-26914	134	2	this	this	DET
ajst-26914	134	3	paper	paper	NOUN
ajst-26914	134	4	was	be	AUX
ajst-26914	134	5	financially	financially	ADV
ajst-26914	134	6	supported	support	VERB
ajst-26914	134	7	by	by	ADP
ajst-26914	134	8	natural	natural	ADJ
ajst-26914	134	9	science	science	NOUN
ajst-26914	134	10	foundation	foundation	PROPN
ajst-26914	134	11	of	of	ADP
ajst-26914	134	12	china	china	PROPN
ajst-26914	134	13	(	(	PUNCT
ajst-26914	134	14	12161075	12161075	NUM
ajst-26914	134	15	)	)	PUNCT
ajst-26914	134	16	,	,	PUNCT
ajst-26914	134	17	natural	natural	ADJ
ajst-26914	134	18	science	science	NOUN
ajst-26914	134	19	foundation	foundation	PROPN
ajst-26914	134	20	of	of	ADP
ajst-26914	134	21	guangdong	guangdong	PROPN
ajst-26914	134	22	province	province	PROPN
ajst-26914	134	23	(	(	PUNCT
ajst-26914	134	24	2022a1515010978	2022a1515010978	PROPN
ajst-26914	134	25	,	,	PUNCT
ajst-26914	134	26	2024a1515011258	2024a1515011258	ADJ
ajst-26914	134	27	)	)	PUNCT
ajst-26914	134	28	natural	natural	ADJ
ajst-26914	134	29	science	science	NOUN
ajst-26914	134	30	foundation	foundation	PROPN
ajst-26914	134	31	of	of	ADP
ajst-26914	134	32	jiangxi	jiangxi	PROPN
ajst-26914	134	33	province	province	PROPN
ajst-26914	134	34	(	(	PUNCT
ajst-26914	134	35	20122acb201006	20122acb201006	NUM
ajst-26914	134	36	)	)	PUNCT
ajst-26914	134	37	and	and	CCONJ
ajst-26914	134	38	natural	natural	ADJ
ajst-26914	134	39	science	science	NOUN
ajst-26914	134	40	foundation	foundation	NOUN
ajst-26914	134	41	of	of	ADP
ajst-26914	134	42	guangdong	guangdong	PROPN
ajst-26914	134	43	ocean	ocean	PROPN
ajst-26914	134	44	university	university	PROPN
ajst-26914	134	45	(	(	PUNCT
ajst-26914	134	46	r17083	r17083	PROPN
ajst-26914	134	47	,	,	PUNCT
ajst-26914	134	48	c17201	c17201	PROPN
ajst-26914	134	49	,	,	PUNCT
ajst-26914	134	50	p16091	p16091	PROPN
ajst-26914	134	51	)	)	PUNCT
ajst-26914	134	52	.	.	PUNCT
ajst-26914	135	1	references	reference	NOUN
ajst-26914	135	2	[	[	X
ajst-26914	135	3	1	1	NUM
ajst-26914	135	4	]	]	PUNCT
ajst-26914	135	5	owen	owen	PROPN
ajst-26914	135	6	,	,	PUNCT
ajst-26914	135	7	a.	a.	PROPN
ajst-26914	135	8	b.	b.	PROPN
ajst-26914	135	9	(	(	PUNCT
ajst-26914	135	10	1988	1988	NUM
ajst-26914	135	11	)	)	PUNCT
ajst-26914	135	12	.	.	PUNCT
ajst-26914	136	1	empirical	empirical	ADJ
ajst-26914	136	2	likelihood	likelihood	NOUN
ajst-26914	136	3	ratio	ratio	NOUN
ajst-26914	136	4	confidence	confidence	NOUN
ajst-26914	136	5	intervals	interval	NOUN
ajst-26914	136	6	for	for	ADP
ajst-26914	136	7	a	a	DET
ajst-26914	136	8	single	single	ADJ
ajst-26914	136	9	functional	functional	ADJ
ajst-26914	136	10	.	.	PUNCT
ajst-26914	137	1	biometrika	biometrika	NOUN
ajst-26914	137	2	,	,	PUNCT
ajst-26914	137	3	75(2):237	75(2):237	PROPN
ajst-26914	137	4	-	-	PUNCT
ajst-26914	137	5	249	249	NUM
ajst-26914	137	6	.	.	PUNCT
ajst-26914	138	1	[	[	X
ajst-26914	138	2	2	2	NUM
ajst-26914	138	3	]	]	PUNCT
ajst-26914	138	4	owen	owen	PROPN
ajst-26914	138	5	,	,	PUNCT
ajst-26914	138	6	a.	a.	PROPN
ajst-26914	138	7	b.	b.	PROPN
ajst-26914	138	8	(	(	PUNCT
ajst-26914	138	9	1990	1990	NUM
ajst-26914	138	10	)	)	PUNCT
ajst-26914	138	11	.	.	PUNCT
ajst-26914	139	1	empirical	empirical	ADJ
ajst-26914	139	2	likelihood	likelihood	NOUN
ajst-26914	139	3	confidence	confidence	NOUN
ajst-26914	139	4	regions	region	NOUN
ajst-26914	139	5	.	.	PUNCT
ajst-26914	140	1	annals	annal	NOUN
ajst-26914	140	2	of	of	ADP
ajst-26914	140	3	statistics	statistic	NOUN
ajst-26914	140	4	,	,	PUNCT
ajst-26914	140	5	18(1	18(1	NUM
ajst-26914	140	6	):	):	PUNCT
ajst-26914	140	7	90	90	NUM
ajst-26914	140	8	-	-	SYM
ajst-26914	140	9	120	120	NUM
ajst-26914	140	10	.	.	PUNCT
ajst-26914	141	1	[	[	X
ajst-26914	141	2	3	3	NUM
ajst-26914	141	3	]	]	X
ajst-26914	141	4	chen	chen	PROPN
ajst-26914	141	5	,	,	PUNCT
ajst-26914	141	6	s.	s.	PROPN
ajst-26914	141	7	x.	x.	PROPN
ajst-26914	141	8	(	(	PUNCT
ajst-26914	141	9	2000	2000	NUM
ajst-26914	141	10	)	)	PUNCT
ajst-26914	141	11	.	.	PUNCT
ajst-26914	142	1	empirical	empirical	ADJ
ajst-26914	142	2	likelihood	likelihood	NOUN
ajst-26914	142	3	confidence	confidence	NOUN
ajst-26914	142	4	intervals	interval	NOUN
ajst-26914	142	5	for	for	ADP
ajst-26914	142	6	linear	linear	ADJ
ajst-26914	142	7	regression	regression	NOUN
ajst-26914	142	8	coefficients	coefficient	NOUN
ajst-26914	142	9	.	.	PUNCT
ajst-26914	143	1	journal	journal	NOUN
ajst-26914	143	2	of	of	ADP
ajst-26914	143	3	multivariate	multivariate	NOUN
ajst-26914	143	4	analysis	analysis	NOUN
ajst-26914	143	5	,	,	PUNCT
ajst-26914	143	6	72(1):19	72(1):19	PROPN
ajst-26914	143	7	-	-	NOUN
ajst-26914	143	8	32	32	NUM
ajst-26914	143	9	.	.	PUNCT
ajst-26914	144	1	[	[	X
ajst-26914	144	2	4	4	NUM
ajst-26914	144	3	]	]	X
ajst-26914	144	4	kitamura	kitamura	PROPN
ajst-26914	144	5	,	,	PUNCT
ajst-26914	144	6	y.	y.	PROPN
ajst-26914	144	7	(	(	PUNCT
ajst-26914	144	8	2001	2001	NUM
ajst-26914	144	9	)	)	PUNCT
ajst-26914	144	10	.	.	PUNCT
ajst-26914	145	1	empirical	empirical	ADJ
ajst-26914	145	2	likelihood	likelihood	NOUN
ajst-26914	145	3	methods	method	NOUN
ajst-26914	145	4	with	with	ADP
ajst-26914	145	5	weakly	weakly	ADJ
ajst-26914	145	6	dependent	dependent	ADJ
ajst-26914	145	7	processes	process	NOUN
ajst-26914	145	8	.	.	PUNCT
ajst-26914	146	1	annals	annal	NOUN
ajst-26914	146	2	of	of	ADP
ajst-26914	146	3	statistics	statistic	NOUN
ajst-26914	146	4	,	,	PUNCT
ajst-26914	146	5	29(1):116139	29(1):116139	NUM
ajst-26914	146	6	.	.	PUNCT
ajst-26914	147	1	[	[	X
ajst-26914	147	2	5	5	NUM
ajst-26914	147	3	]	]	X
ajst-26914	147	4	qin	qin	PROPN
ajst-26914	147	5	,	,	PUNCT
ajst-26914	147	6	j.	j.	PROPN
ajst-26914	147	7	and	and	CCONJ
ajst-26914	147	8	lawless	lawless	ADJ
ajst-26914	147	9	,	,	PUNCT
ajst-26914	147	10	j.	j.	PROPN
ajst-26914	147	11	(	(	PUNCT
ajst-26914	147	12	1994	1994	NUM
ajst-26914	147	13	)	)	PUNCT
ajst-26914	147	14	.	.	PUNCT
ajst-26914	148	1	empirical	empirical	ADJ
ajst-26914	148	2	likelihood	likelihood	NOUN
ajst-26914	148	3	and	and	CCONJ
ajst-26914	148	4	general	general	ADJ
ajst-26914	148	5	estimating	estimate	VERB
ajst-26914	148	6	equations	equation	NOUN
ajst-26914	148	7	.	.	PUNCT
ajst-26914	149	1	annals	annal	NOUN
ajst-26914	149	2	of	of	ADP
ajst-26914	149	3	statistics	statistic	NOUN
ajst-26914	149	4	,	,	PUNCT
ajst-26914	149	5	22(1):300	22(1):300	NOUN
ajst-26914	149	6	-	-	SYM
ajst-26914	149	7	325	325	NUM
ajst-26914	149	8	.	.	PUNCT
ajst-26914	150	1	[	[	X
ajst-26914	150	2	6	6	NUM
ajst-26914	150	3	]	]	PUNCT
ajst-26914	150	4	mcintyre	mcintyre	PROPN
ajst-26914	150	5	g	g	PROPN
ajst-26914	150	6	a.	a.	PROPN
ajst-26914	150	7	(	(	PUNCT
ajst-26914	150	8	1952	1952	NUM
ajst-26914	150	9	)	)	PUNCT
ajst-26914	150	10	.	.	PUNCT
ajst-26914	151	1	a	a	DET
ajst-26914	151	2	method	method	NOUN
ajst-26914	151	3	for	for	ADP
ajst-26914	151	4	unbiased	unbiased	ADJ
ajst-26914	151	5	selective	selective	ADJ
ajst-26914	151	6	sampling	sampling	NOUN
ajst-26914	151	7	,	,	PUNCT
ajst-26914	151	8	using	use	VERB
ajst-26914	151	9	ranked	rank	VERB
ajst-26914	151	10	sets	set	NOUN
ajst-26914	151	11	(	(	PUNCT
ajst-26914	151	12	australian	australian	ADJ
ajst-26914	151	13	journal	journal	NOUN
ajst-26914	151	14	of	of	ADP
ajst-26914	151	15	agricultural	agricultural	ADJ
ajst-26914	151	16	research	research	NOUN
ajst-26914	151	17	)	)	PUNCT
ajst-26914	151	18	,	,	PUNCT
ajst-26914	151	19	3	3	NUM
ajst-26914	151	20	:	:	SYM
ajst-26914	151	21	385–390	385–390	NUM
ajst-26914	151	22	.	.	PUNCT
ajst-26914	152	1	[	[	X
ajst-26914	152	2	7	7	X
ajst-26914	152	3	]	]	X
ajst-26914	152	4	chen	chen	PROPN
ajst-26914	152	5	z	z	PROPN
ajst-26914	152	6	h	h	PROPN
ajst-26914	152	7	,	,	PUNCT
ajst-26914	152	8	bai	bai	PROPN
ajst-26914	152	9	z	z	PROPN
ajst-26914	152	10	d	d	PROPN
ajst-26914	152	11	,	,	PUNCT
ajst-26914	152	12	sinha	sinha	PROPN
ajst-26914	152	13	b	b	PROPN
ajst-26914	152	14	k.	k.	PROPN
ajst-26914	152	15	ranked	rank	VERB
ajst-26914	152	16	set	set	ADJ
ajst-26914	152	17	sampling	sampling	NOUN
ajst-26914	152	18	:	:	PUNCT
ajst-26914	152	19	theory	theory	NOUN
ajst-26914	152	20	and	and	CCONJ
ajst-26914	152	21	applications	application	NOUN
ajst-26914	152	22	(	(	PUNCT
ajst-26914	152	23	springer	springer	NOUN
ajst-26914	152	24	2003	2003	NUM
ajst-26914	152	25	)	)	PUNCT
ajst-26914	152	26	.	.	PUNCT
ajst-26914	153	1	[	[	X
ajst-26914	153	2	8	8	NUM
ajst-26914	153	3	]	]	X
ajst-26914	153	4	robbins	robbin	NOUN
ajst-26914	153	5	,	,	PUNCT
ajst-26914	153	6	h.	h.	PROPN
ajst-26914	153	7	(	(	PUNCT
ajst-26914	153	8	1955	1955	NUM
ajst-26914	153	9	)	)	PUNCT
ajst-26914	153	10	.	.	PUNCT
ajst-26914	154	1	an	an	DET
ajst-26914	154	2	empirical	empirical	ADJ
ajst-26914	154	3	bayes	bayes	NOUN
ajst-26914	154	4	approach	approach	NOUN
ajst-26914	154	5	to	to	ADP
ajst-26914	154	6	statistics	statistic	NOUN
ajst-26914	154	7	,	,	PUNCT
ajst-26914	154	8	proc	proc	NOUN
ajst-26914	154	9	.	.	PUNCT
ajst-26914	154	10	third	third	PROPN
ajst-26914	154	11	berkeley	berkeley	PROPN
ajst-26914	154	12	symp	symp	PROPN
ajst-26914	154	13	.	.	PUNCT
ajst-26914	155	1	math	math	PROPN
ajst-26914	155	2	.	.	PUNCT
ajst-26914	156	1	statist	statist	PROPN
ajst-26914	156	2	.	.	PUNCT
ajst-26914	157	1	prob	prob	PROPN
ajst-26914	157	2	,	,	PUNCT
ajst-26914	157	3	vol	vol	NOUN
ajst-26914	157	4	.	.	PROPN
ajst-26914	158	1	1	1	NUM
ajst-26914	158	2	:	:	SYM
ajst-26914	158	3	157	157	NUM
ajst-26914	158	4	-	-	SYM
ajst-26914	158	5	163	163	NUM
ajst-26914	158	6	.	.	PUNCT
ajst-26914	159	1	[	[	X
ajst-26914	159	2	9	9	NUM
ajst-26914	159	3	]	]	X
ajst-26914	159	4	karunamuni	karunamuni	PROPN
ajst-26914	159	5	,	,	PUNCT
ajst-26914	159	6	r.	r.	PROPN
ajst-26914	159	7	j	j	PROPN
ajst-26914	159	8	,	,	PUNCT
ajst-26914	159	9	li	li	PROPN
ajst-26914	159	10	,	,	PUNCT
ajst-26914	159	11	j	j	PROPN
ajst-26914	159	12	,	,	PUNCT
ajst-26914	159	13	wu	wu	PROPN
ajst-26914	159	14	,	,	PUNCT
ajst-26914	159	15	j.	j.	PROPN
ajst-26914	159	16	(	(	PUNCT
ajst-26914	159	17	2010	2010	NUM
ajst-26914	159	18	)	)	PUNCT
ajst-26914	159	19	.	.	PUNCT
ajst-26914	160	1	robust	robust	ADJ
ajst-26914	160	2	empirical	empirical	ADJ
ajst-26914	160	3	bayes	bayes	NOUN
ajst-26914	160	4	tests	test	VERB
ajst-26914	160	5	for	for	ADP
ajst-26914	160	6	continuous	continuous	ADJ
ajst-26914	160	7	distributions	distribution	NOUN
ajst-26914	160	8	,	,	PUNCT
ajst-26914	160	9	journal	journal	NOUN
ajst-26914	160	10	of	of	ADP
ajst-26914	160	11	statistical	statistical	ADJ
ajst-26914	160	12	planning	planning	NOUN
ajst-26914	160	13	and	and	CCONJ
ajst-26914	160	14	inference	inference	NOUN
ajst-26914	160	15	,	,	PUNCT
ajst-26914	160	16	140	140	NUM
ajst-26914	160	17	(	(	PUNCT
ajst-26914	160	18	1	1	NUM
ajst-26914	160	19	):	):	PUNCT
ajst-26914	160	20	268	268	NUM
ajst-26914	160	21	-	-	SYM
ajst-26914	160	22	282	282	NUM
ajst-26914	160	23	.	.	PUNCT
ajst-26914	161	1	[	[	X
ajst-26914	161	2	10	10	NUM
ajst-26914	161	3	]	]	X
ajst-26914	161	4	xinyi	xinyi	PROPN
ajst-26914	161	5	xu	xu	PROPN
ajst-26914	161	6	,	,	PUNCT
ajst-26914	161	7	dunke	dunke	PROPN
ajst-26914	161	8	zhou	zhou	PROPN
ajst-26914	161	9	.	.	PUNCT
ajst-26914	162	1	(	(	PUNCT
ajst-26914	162	2	2011	2011	NUM
ajst-26914	162	3	)	)	PUNCT
ajst-26914	162	4	.	.	PUNCT
ajst-26914	163	1	empirical	empirical	ADJ
ajst-26914	163	2	bayes	bayes	PROPN
ajst-26914	163	3	predictive	predictive	ADJ
ajst-26914	163	4	densities	density	NOUN
ajst-26914	163	5	for	for	ADP
ajst-26914	163	6	high	high	ADV
ajst-26914	163	7	-	-	PUNCT
ajst-26914	163	8	dimensional	dimensional	ADJ
ajst-26914	163	9	normal	normal	ADJ
ajst-26914	163	10	models	model	NOUN
ajst-26914	163	11	,	,	PUNCT
ajst-26914	163	12	journal	journal	NOUN
ajst-26914	163	13	of	of	ADP
ajst-26914	163	14	multivariate	multivariate	NOUN
ajst-26914	163	15	analysis	analysis	NOUN
ajst-26914	163	16	,	,	PUNCT
ajst-26914	163	17	102(10	102(10	NUM
ajst-26914	163	18	):	):	PUNCT
ajst-26914	163	19	1417	1417	NUM
ajst-26914	163	20	-	-	SYM
ajst-26914	163	21	1428	1428	NUM
ajst-26914	163	22	.	.	PUNCT
ajst-26914	164	1	[	[	X
ajst-26914	164	2	11	11	NUM
ajst-26914	164	3	]	]	X
ajst-26914	164	4	johns	johns	PROPN
ajst-26914	164	5	m	m	PROPN
ajst-26914	164	6	vjr	vjr	PROPN
ajst-26914	164	7	,	,	PUNCT
ajst-26914	164	8	van	van	PROPN
ajst-26914	164	9	ryzin	ryzin	PROPN
ajst-26914	164	10	j	j	PROPN
ajst-26914	164	11	r.	r.	PROPN
ajst-26914	164	12	(	(	PUNCT
ajst-26914	164	13	1972	1972	NUM
ajst-26914	164	14	)	)	PUNCT
ajst-26914	164	15	.	.	PUNCT
ajst-26914	165	1	convergence	convergence	NOUN
ajst-26914	165	2	rates	rate	NOUN
ajst-26914	165	3	in	in	ADP
ajst-26914	165	4	empirical	empirical	ADJ
ajst-26914	165	5	bayes	baye	NOUN
ajst-26914	165	6	two	two	NUM
ajst-26914	165	7	-	-	PUNCT
ajst-26914	165	8	action	action	NOUN
ajst-26914	165	9	problems	problem	NOUN
ajst-26914	165	10	2	2	NUM
ajst-26914	165	11	:	:	PUNCT
ajst-26914	165	12	continuous	continuous	ADJ
ajst-26914	165	13	case	case	NOUN
ajst-26914	165	14	.	.	PUNCT
ajst-26914	166	1	ann	ann	PROPN
ajst-26914	166	2	.	.	PUNCT
ajst-26914	166	3	math	math	PROPN
ajst-26914	166	4	.	.	PUNCT
ajst-26914	167	1	statist	statist	PROPN
ajst-26914	167	2	.	.	PUNCT
ajst-26914	168	1	vol	vol	NOUN
ajst-26914	168	2	.	.	PUNCT
ajst-26914	169	1	43	43	NUM
ajst-26914	169	2	:	:	PUNCT
ajst-26914	169	3	934	934	NUM
ajst-26914	169	4	-	-	SYM
ajst-26914	169	5	937	937	NUM
ajst-26914	169	6	.	.	PUNCT
ajst-26914	170	1	[	[	X
ajst-26914	170	2	12	12	NUM
ajst-26914	170	3	]	]	PUNCT
ajst-26914	170	4	lichun	lichun	PROPN
ajst-26914	170	5	wang	wang	PROPN
ajst-26914	170	6	,	,	PUNCT
ajst-26914	170	7	radhey	radhey	PROPN
ajst-26914	170	8	s.	s.	PROPN
ajst-26914	170	9	singh	singh	PROPN
ajst-26914	170	10	.	.	PUNCT
ajst-26914	171	1	(	(	PUNCT
ajst-26914	171	2	2014	2014	NUM
ajst-26914	171	3	)	)	PUNCT
ajst-26914	171	4	.	.	PUNCT
ajst-26914	172	1	linear	linear	PROPN
ajst-26914	172	2	bayes	bayes	PROPN
ajst-26914	172	3	estimator	estimator	NOUN
ajst-26914	172	4	for	for	ADP
ajst-26914	172	5	the	the	DET
ajst-26914	172	6	two	two	NUM
ajst-26914	172	7	-	-	PUNCT
ajst-26914	172	8	parameter	parameter	NOUN
ajst-26914	172	9	exponential	exponential	ADJ
ajst-26914	172	10	family	family	NOUN
ajst-26914	172	11	under	under	ADP
ajst-26914	172	12	type	type	NOUN
ajst-26914	172	13	ii	ii	PROPN
ajst-26914	172	14	censoring	censor	VERB
ajst-26914	172	15	.	.	PUNCT
ajst-26914	173	1	computational	computational	ADJ
ajst-26914	173	2	statistics	statistic	NOUN
ajst-26914	173	3	&	&	CCONJ
ajst-26914	173	4	data	datum	NOUN
ajst-26914	173	5	analysis	analysis	NOUN
ajst-26914	173	6	,	,	PUNCT
ajst-26914	173	7	vol.71	vol.71	ADP
ajst-26914	173	8	:	:	PUNCT
ajst-26914	173	9	633	633	NUM
ajst-26914	173	10	-	-	SYM
ajst-26914	173	11	642	642	NUM
ajst-26914	173	12	.	.	PUNCT
ajst-26914	174	1	[	[	X
ajst-26914	174	2	13	13	NUM
ajst-26914	174	3	]	]	X
ajst-26914	174	4	rekab	rekab	NOUN
ajst-26914	174	5	ki	ki	PROPN
ajst-26914	174	6	.	.	PUNCT
ajst-26914	175	1	(	(	PUNCT
ajst-26914	175	2	1994	1994	NUM
ajst-26914	175	3	)	)	PUNCT
ajst-26914	175	4	.	.	PUNCT
ajst-26914	176	1	modified	modify	VERB
ajst-26914	176	2	shrinkage	shrinkage	NOUN
ajst-26914	176	3	estimates	estimate	NOUN
ajst-26914	176	4	in	in	ADP
ajst-26914	176	5	the	the	DET
ajst-26914	176	6	exponential	exponential	ADJ
ajst-26914	176	7	family	family	NOUN
ajst-26914	176	8	case	case	NOUN
ajst-26914	176	9	.	.	PUNCT
ajst-26914	177	1	stochastic	stochastic	ADJ
ajst-26914	177	2	analysis	analysis	NOUN
ajst-26914	177	3	and	and	CCONJ
ajst-26914	177	4	applications	application	NOUN
ajst-26914	177	5	,	,	PUNCT
ajst-26914	177	6	vol	vol	NOUN
ajst-26914	177	7	.	.	PROPN
ajst-26914	178	1	4	4	NUM
ajst-26914	178	2	:	:	SYM
ajst-26914	178	3	493	493	NUM
ajst-26914	178	4	-	-	SYM
ajst-26914	178	5	498	498	NUM
ajst-26914	178	6	.	.	PUNCT
ajst-26914	179	1	[	[	X
ajst-26914	179	2	14	14	NUM
ajst-26914	179	3	]	]	X
ajst-26914	179	4	shang	shang	PROPN
ajst-26914	179	5	s	s	PROPN
ajst-26914	179	6	,	,	PUNCT
ajst-26914	179	7	li	li	PROPN
ajst-26914	179	8	j.	j.	PROPN
ajst-26914	179	9	(	(	PUNCT
ajst-26914	179	10	2005	2005	NUM
ajst-26914	179	11	)	)	PUNCT
ajst-26914	179	12	.	.	PUNCT
ajst-26914	180	1	one	one	NUM
ajst-26914	180	2	empirical	empirical	ADJ
ajst-26914	180	3	bayes	bayes	NOUN
ajst-26914	180	4	procedures	procedure	NOUN
ajst-26914	180	5	for	for	ADP
ajst-26914	180	6	selecting	select	VERB
ajst-26914	180	7	good	good	ADJ
ajst-26914	180	8	populations	population	NOUN
ajst-26914	180	9	in	in	ADP
ajst-26914	180	10	a	a	DET
ajst-26914	180	11	positive	positive	ADJ
ajst-26914	180	12	exponential	exponential	ADJ
ajst-26914	180	13	family	family	NOUN
ajst-26914	180	14	.	.	PUNCT
ajst-26914	181	1	journal	journal	NOUN
ajst-26914	181	2	of	of	ADP
ajst-26914	181	3	statistical	statistical	ADJ
ajst-26914	181	4	planning	planning	NOUN
ajst-26914	181	5	and	and	CCONJ
ajst-26914	181	6	inference	inference	NOUN
ajst-26914	181	7	,	,	PUNCT
ajst-26914	181	8	vol.129	vol.129	PROPN
ajst-26914	181	9	:	:	PUNCT
ajst-26914	181	10	3	3	NUM
ajst-26914	181	11	-	-	SYM
ajst-26914	181	12	18	18	NUM
ajst-26914	181	13	.	.	PUNCT
ajst-26914	182	1	[	[	X
ajst-26914	182	2	15	15	NUM
ajst-26914	182	3	]	]	X
ajst-26914	182	4	naiyi	naiyi	PROPN
ajst-26914	182	5	li	li	PROPN
ajst-26914	182	6	,	,	PUNCT
ajst-26914	182	7	yuan	yuan	PROPN
ajst-26914	182	8	li	li	PROPN
ajst-26914	182	9	,	,	PUNCT
ajst-26914	182	10	yongming	yongming	PROPN
ajst-26914	182	11	li	li	PROPN
ajst-26914	182	12	,	,	PUNCT
ajst-26914	182	13	yang	yang	PROPN
ajst-26914	182	14	liu	liu	PROPN
ajst-26914	182	15	.	.	PUNCT
ajst-26914	183	1	(	(	PUNCT
ajst-26914	183	2	2015	2015	NUM
ajst-26914	183	3	)	)	PUNCT
ajst-26914	183	4	.	.	PUNCT
ajst-26914	184	1	empirical	empirical	ADJ
ajst-26914	184	2	bayes	bayes	PROPN
ajst-26914	184	3	inference	inference	PROPN
ajst-26914	184	4	for	for	ADP
ajst-26914	184	5	the	the	DET
ajst-26914	184	6	parameter	parameter	NOUN
ajst-26914	184	7	of	of	ADP
ajst-26914	184	8	power	power	NOUN
ajst-26914	184	9	distribution	distribution	NOUN
ajst-26914	184	10	based	base	VERB
ajst-26914	184	11	on	on	ADP
ajst-26914	184	12	ranked	rank	VERB
ajst-26914	184	13	set	set	ADJ
ajst-26914	184	14	sampling	sampling	NOUN
ajst-26914	184	15	.	.	PUNCT
ajst-26914	185	1	discrete	discrete	ADJ
ajst-26914	185	2	dynamics	dynamic	NOUN
ajst-26914	185	3	in	in	ADP
ajst-26914	185	4	nature	nature	NOUN
ajst-26914	185	5	and	and	CCONJ
ajst-26914	185	6	society	society	NOUN
ajst-26914	185	7	:	:	PUNCT
ajst-26914	185	8	1	1	NUM
ajst-26914	185	9	-	-	SYM
ajst-26914	185	10	5	5	NUM
ajst-26914	185	11	.	.	PUNCT