id	sid	tid	token	lemma	pos
ejpam-4280	1	1	european	european	PROPN
ejpam-4280	1	2	journal	journal	PROPN
ejpam-4280	1	3	of	of	ADP
ejpam-4280	1	4	pure	pure	ADJ
ejpam-4280	1	5	and	and	CCONJ
ejpam-4280	1	6	applied	apply	VERB
ejpam-4280	1	7	mathematics	mathematic	NOUN
ejpam-4280	1	8	vol	vol	NOUN
ejpam-4280	1	9	.	.	PROPN
ejpam-4280	2	1	15	15	NUM
ejpam-4280	2	2	,	,	PUNCT
ejpam-4280	2	3	no	no	INTJ
ejpam-4280	2	4	.	.	NOUN
ejpam-4280	2	5	4	4	NUM
ejpam-4280	2	6	,	,	PUNCT
ejpam-4280	2	7	2022	2022	NUM
ejpam-4280	2	8	,	,	PUNCT
ejpam-4280	2	9	2074	2074	NUM
ejpam-4280	2	10	-	-	SYM
ejpam-4280	2	11	2085	2085	NUM
ejpam-4280	2	12	issn	issn	PROPN
ejpam-4280	2	13	1307	1307	NUM
ejpam-4280	2	14	-	-	SYM
ejpam-4280	2	15	5543	5543	NUM
ejpam-4280	2	16	–	–	PUNCT
ejpam-4280	3	1	ejpam.com	ejpam.com	X
ejpam-4280	3	2	published	publish	VERB
ejpam-4280	3	3	by	by	ADP
ejpam-4280	3	4	new	new	PROPN
ejpam-4280	3	5	york	york	PROPN
ejpam-4280	3	6	business	business	PROPN
ejpam-4280	3	7	global	global	PROPN
ejpam-4280	3	8	an	an	DET
ejpam-4280	3	9	approach	approach	NOUN
ejpam-4280	3	10	of	of	ADP
ejpam-4280	3	11	estimating	estimate	VERB
ejpam-4280	3	12	the	the	DET
ejpam-4280	3	13	value	value	NOUN
ejpam-4280	3	14	at	at	ADP
ejpam-4280	3	15	risk	risk	NOUN
ejpam-4280	3	16	of	of	ADP
ejpam-4280	3	17	heavy	heavy	ADJ
ejpam-4280	3	18	-	-	PUNCT
ejpam-4280	3	19	tailed	tail	VERB
ejpam-4280	3	20	distribution	distribution	NOUN
ejpam-4280	3	21	using	use	VERB
ejpam-4280	3	22	copulas	copula	NOUN
ejpam-4280	3	23	korotimi	korotimi	PROPN
ejpam-4280	3	24	ouédraogo1,∗	ouédraogo1,∗	PROPN
ejpam-4280	3	25	,	,	PUNCT
ejpam-4280	3	26	diakarya	diakarya	ADJ
ejpam-4280	3	27	barro2	barro2	NOUN
ejpam-4280	3	28	1	1	NUM
ejpam-4280	3	29	lanibio	lanibio	ADV
ejpam-4280	3	30	,	,	PUNCT
ejpam-4280	3	31	ujkz	ujkz	PROPN
ejpam-4280	3	32	,	,	PUNCT
ejpam-4280	3	33	bp	bp	PROPN
ejpam-4280	3	34	:	:	PUNCT
ejpam-4280	3	35	7023	7023	NUM
ejpam-4280	3	36	ouagadougou	ouagadougou	PROPN
ejpam-4280	3	37	03	03	NUM
ejpam-4280	3	38	,	,	PUNCT
ejpam-4280	3	39	burkina	burkina	PROPN
ejpam-4280	3	40	faso	faso	PROPN
ejpam-4280	3	41	2	2	NUM
ejpam-4280	3	42	université	université	NOUN
ejpam-4280	3	43	thomas	thomas	PROPN
ejpam-4280	3	44	sankara	sankara	PROPN
ejpam-4280	3	45	,	,	PUNCT
ejpam-4280	3	46	burkina	burkina	PROPN
ejpam-4280	3	47	faso	faso	PROPN
ejpam-4280	3	48	abstract	abstract	PROPN
ejpam-4280	3	49	.	.	PUNCT
ejpam-4280	4	1	the	the	DET
ejpam-4280	4	2	value	value	NOUN
ejpam-4280	4	3	at	at	ADP
ejpam-4280	4	4	risk	risk	NOUN
ejpam-4280	4	5	(	(	PUNCT
ejpam-4280	4	6	var	var	NOUN
ejpam-4280	4	7	)	)	PUNCT
ejpam-4280	4	8	plays	play	VERB
ejpam-4280	4	9	a	a	DET
ejpam-4280	4	10	fundamental	fundamental	ADJ
ejpam-4280	4	11	role	role	NOUN
ejpam-4280	4	12	in	in	ADP
ejpam-4280	4	13	modeling	model	VERB
ejpam-4280	4	14	risk	risk	NOUN
ejpam-4280	4	15	in	in	ADP
ejpam-4280	4	16	financial	financial	ADJ
ejpam-4280	4	17	studies	study	NOUN
ejpam-4280	4	18	.	.	PUNCT
ejpam-4280	5	1	we	we	PRON
ejpam-4280	5	2	propose	propose	VERB
ejpam-4280	5	3	a	a	DET
ejpam-4280	5	4	approach	approach	NOUN
ejpam-4280	5	5	in	in	ADP
ejpam-4280	5	6	estimating	estimate	VERB
ejpam-4280	5	7	the	the	DET
ejpam-4280	5	8	var	var	NOUN
ejpam-4280	5	9	for	for	ADP
ejpam-4280	5	10	heavy	heavy	ADJ
ejpam-4280	5	11	-	-	PUNCT
ejpam-4280	5	12	tailed	tail	VERB
ejpam-4280	5	13	distribution	distribution	NOUN
ejpam-4280	5	14	by	by	ADP
ejpam-4280	5	15	taking	take	VERB
ejpam-4280	5	16	into	into	ADP
ejpam-4280	5	17	account	account	NOUN
ejpam-4280	5	18	the	the	DET
ejpam-4280	5	19	effects	effect	NOUN
ejpam-4280	5	20	of	of	ADP
ejpam-4280	5	21	certain	certain	ADJ
ejpam-4280	5	22	covariates	covariate	NOUN
ejpam-4280	5	23	on	on	ADP
ejpam-4280	5	24	the	the	DET
ejpam-4280	5	25	variable	variable	NOUN
ejpam-4280	5	26	of	of	ADP
ejpam-4280	5	27	interest	interest	NOUN
ejpam-4280	5	28	.	.	PUNCT
ejpam-4280	6	1	this	this	DET
ejpam-4280	6	2	method	method	NOUN
ejpam-4280	6	3	,	,	PUNCT
ejpam-4280	6	4	involves	involve	VERB
ejpam-4280	6	5	estimating	estimate	VERB
ejpam-4280	6	6	the	the	DET
ejpam-4280	6	7	extreme	extreme	ADJ
ejpam-4280	6	8	conditional	conditional	ADJ
ejpam-4280	6	9	quantiles	quantile	NOUN
ejpam-4280	6	10	by	by	ADP
ejpam-4280	6	11	using	use	VERB
ejpam-4280	6	12	the	the	DET
ejpam-4280	6	13	assciated	assciated	ADJ
ejpam-4280	6	14	copula	copula	NOUN
ejpam-4280	6	15	.	.	PUNCT
ejpam-4280	7	1	morever	morever	PROPN
ejpam-4280	7	2	,	,	PUNCT
ejpam-4280	7	3	we	we	PRON
ejpam-4280	7	4	use	use	VERB
ejpam-4280	7	5	bernstein	bernstein	PROPN
ejpam-4280	7	6	copulas	copula	NOUN
ejpam-4280	7	7	to	to	PART
ejpam-4280	7	8	estimate	estimate	VERB
ejpam-4280	7	9	the	the	DET
ejpam-4280	7	10	intermediate	intermediate	ADJ
ejpam-4280	7	11	conditional	conditional	ADJ
ejpam-4280	7	12	quantile	quantile	NOUN
ejpam-4280	7	13	in	in	ADP
ejpam-4280	7	14	a	a	DET
ejpam-4280	7	15	non	non	ADJ
ejpam-4280	7	16	-	-	ADJ
ejpam-4280	7	17	parametric	parametric	ADJ
ejpam-4280	7	18	approach	approach	NOUN
ejpam-4280	7	19	of	of	ADP
ejpam-4280	7	20	the	the	DET
ejpam-4280	7	21	direct	direct	ADJ
ejpam-4280	7	22	method	method	NOUN
ejpam-4280	7	23	.	.	PUNCT
ejpam-4280	8	1	then	then	ADV
ejpam-4280	8	2	,	,	PUNCT
ejpam-4280	8	3	the	the	DET
ejpam-4280	8	4	extreme	extreme	ADJ
ejpam-4280	8	5	conditional	conditional	ADJ
ejpam-4280	8	6	quantile	quantile	NOUN
ejpam-4280	8	7	is	be	AUX
ejpam-4280	8	8	also	also	ADV
ejpam-4280	8	9	estimated	estimate	VERB
ejpam-4280	8	10	and	and	CCONJ
ejpam-4280	8	11	we	we	PRON
ejpam-4280	8	12	study	study	VERB
ejpam-4280	8	13	the	the	DET
ejpam-4280	8	14	asymptotic	asymptotic	ADJ
ejpam-4280	8	15	properties	property	NOUN
ejpam-4280	8	16	of	of	ADP
ejpam-4280	8	17	this	this	DET
ejpam-4280	8	18	new	new	ADJ
ejpam-4280	8	19	estimator	estimator	NOUN
ejpam-4280	8	20	.	.	PUNCT
ejpam-4280	9	1	2020	2020	NUM
ejpam-4280	9	2	mathematics	mathematics	PROPN
ejpam-4280	9	3	subject	subject	NOUN
ejpam-4280	9	4	classifications	classification	NOUN
ejpam-4280	9	5	:	:	PUNCT
ejpam-4280	9	6	91g70	91g70	NUM
ejpam-4280	9	7	,	,	PUNCT
ejpam-4280	9	8	60g65	60g65	NUM
ejpam-4280	9	9	,	,	PUNCT
ejpam-4280	9	10	62g32	62g32	NUM
ejpam-4280	9	11	,	,	PUNCT
ejpam-4280	9	12	62h05	62h05	NUM
ejpam-4280	9	13	key	key	ADJ
ejpam-4280	9	14	words	word	NOUN
ejpam-4280	9	15	and	and	CCONJ
ejpam-4280	9	16	phrases	phrase	NOUN
ejpam-4280	9	17	:	:	PUNCT
ejpam-4280	9	18	copulas	copula	NOUN
ejpam-4280	9	19	,	,	PUNCT
ejpam-4280	9	20	value	value	NOUN
ejpam-4280	9	21	at	at	ADP
ejpam-4280	9	22	risk	risk	NOUN
ejpam-4280	9	23	,	,	PUNCT
ejpam-4280	9	24	extreme	extreme	ADJ
ejpam-4280	9	25	values	value	NOUN
ejpam-4280	9	26	,	,	PUNCT
ejpam-4280	9	27	conditional	conditional	ADJ
ejpam-4280	9	28	quantiles	quantile	NOUN
ejpam-4280	9	29	,	,	PUNCT
ejpam-4280	9	30	heavytailed	heavytailed	ADJ
ejpam-4280	9	31	distribution	distribution	NOUN
ejpam-4280	9	32	1	1	NUM
ejpam-4280	9	33	.	.	PUNCT
ejpam-4280	10	1	introduction	introduction	NOUN
ejpam-4280	10	2	the	the	DET
ejpam-4280	10	3	value	value	NOUN
ejpam-4280	10	4	at	at	ADP
ejpam-4280	10	5	risk	risk	NOUN
ejpam-4280	10	6	(	(	PUNCT
ejpam-4280	10	7	var	var	NOUN
ejpam-4280	10	8	)	)	PUNCT
ejpam-4280	10	9	is	be	AUX
ejpam-4280	10	10	one	one	NUM
ejpam-4280	10	11	of	of	ADP
ejpam-4280	10	12	the	the	DET
ejpam-4280	10	13	best	well	ADV
ejpam-4280	10	14	known	know	VERB
ejpam-4280	10	15	risk	risk	NOUN
ejpam-4280	10	16	measures	measure	NOUN
ejpam-4280	10	17	in	in	ADP
ejpam-4280	10	18	many	many	ADJ
ejpam-4280	10	19	fields	field	NOUN
ejpam-4280	10	20	such	such	ADJ
ejpam-4280	10	21	as	as	ADP
ejpam-4280	10	22	finance	finance	NOUN
ejpam-4280	10	23	and	and	CCONJ
ejpam-4280	10	24	insurance	insurance	NOUN
ejpam-4280	10	25	.	.	PUNCT
ejpam-4280	11	1	this	this	DET
ejpam-4280	11	2	measure	measure	NOUN
ejpam-4280	11	3	quantifies	quantify	VERB
ejpam-4280	11	4	the	the	DET
ejpam-4280	11	5	maximum	maximum	ADJ
ejpam-4280	11	6	loss	loss	NOUN
ejpam-4280	11	7	that	that	PRON
ejpam-4280	11	8	a	a	DET
ejpam-4280	11	9	portfolio	portfolio	NOUN
ejpam-4280	11	10	manager	manager	NOUN
ejpam-4280	11	11	can	can	AUX
ejpam-4280	11	12	incur	incur	VERB
ejpam-4280	11	13	during	during	ADP
ejpam-4280	11	14	a	a	DET
ejpam-4280	11	15	certain	certain	ADJ
ejpam-4280	11	16	time	time	NOUN
ejpam-4280	11	17	horizon	horizon	NOUN
ejpam-4280	11	18	at	at	ADP
ejpam-4280	11	19	a	a	DET
ejpam-4280	11	20	given	give	VERB
ejpam-4280	11	21	confidence	confidence	NOUN
ejpam-4280	11	22	level	level	NOUN
ejpam-4280	11	23	.	.	PUNCT
ejpam-4280	12	1	for	for	ADP
ejpam-4280	12	2	a	a	DET
ejpam-4280	12	3	given	give	VERB
ejpam-4280	12	4	level	level	NOUN
ejpam-4280	12	5	of	of	ADP
ejpam-4280	12	6	confidence	confidence	NOUN
ejpam-4280	12	7	,	,	PUNCT
ejpam-4280	12	8	the	the	DET
ejpam-4280	12	9	corresponding	corresponding	ADJ
ejpam-4280	12	10	var	var	NOUN
ejpam-4280	12	11	for	for	ADP
ejpam-4280	12	12	a	a	DET
ejpam-4280	12	13	random	random	ADJ
ejpam-4280	12	14	variable	variable	NOUN
ejpam-4280	12	15	y	y	NOUN
ejpam-4280	12	16	with	with	ADP
ejpam-4280	12	17	distribution	distribution	NOUN
ejpam-4280	12	18	function	function	NOUN
ejpam-4280	12	19	f0	f0	PROPN
ejpam-4280	12	20	is	be	AUX
ejpam-4280	12	21	given	give	VERB
ejpam-4280	12	22	by	by	ADP
ejpam-4280	12	23	v	v	NUM
ejpam-4280	12	24	ary	ary	PROPN
ejpam-4280	12	25	(	(	PUNCT
ejpam-4280	12	26	α	α	NOUN
ejpam-4280	12	27	)	)	PUNCT
ejpam-4280	12	28	=	=	SYM
ejpam-4280	12	29	qy	qy	PROPN
ejpam-4280	12	30	(	(	PUNCT
ejpam-4280	12	31	α	α	NOUN
ejpam-4280	12	32	)	)	PUNCT
ejpam-4280	12	33	=	=	SYM
ejpam-4280	12	34	inf	inf	NOUN
ejpam-4280	12	35	{	{	PUNCT
ejpam-4280	12	36	y	y	PROPN
ejpam-4280	12	37	∈	∈	PROPN
ejpam-4280	12	38	r	r	NOUN
ejpam-4280	12	39	:	:	PUNCT
ejpam-4280	12	40	f0(y	f0(y	X
ejpam-4280	12	41	)	)	PUNCT
ejpam-4280	12	42	≥	≥	NOUN
ejpam-4280	12	43	α	α	NOUN
ejpam-4280	12	44	}	}	PUNCT
ejpam-4280	12	45	.	.	PUNCT
ejpam-4280	13	1	(	(	PUNCT
ejpam-4280	13	2	1	1	X
ejpam-4280	13	3	)	)	PUNCT
ejpam-4280	13	4	however	however	ADV
ejpam-4280	13	5	,	,	PUNCT
ejpam-4280	13	6	in	in	ADP
ejpam-4280	13	7	some	some	DET
ejpam-4280	13	8	domains	domain	NOUN
ejpam-4280	13	9	such	such	ADJ
ejpam-4280	13	10	as	as	ADP
ejpam-4280	13	11	finance	finance	NOUN
ejpam-4280	13	12	or	or	CCONJ
ejpam-4280	13	13	actuarial	actuarial	ADJ
ejpam-4280	13	14	science	science	NOUN
ejpam-4280	13	15	,	,	PUNCT
ejpam-4280	13	16	the	the	DET
ejpam-4280	13	17	usual	usual	ADJ
ejpam-4280	13	18	methods	method	NOUN
ejpam-4280	13	19	of	of	ADP
ejpam-4280	13	20	estimating	estimate	VERB
ejpam-4280	13	21	the	the	DET
ejpam-4280	13	22	var	var	NOUN
ejpam-4280	13	23	can	can	AUX
ejpam-4280	13	24	be	be	AUX
ejpam-4280	13	25	affected	affect	VERB
ejpam-4280	13	26	by	by	ADP
ejpam-4280	13	27	factors	factor	NOUN
ejpam-4280	13	28	such	such	ADJ
ejpam-4280	13	29	as	as	ADP
ejpam-4280	13	30	interest	interest	NOUN
ejpam-4280	13	31	rates	rate	NOUN
ejpam-4280	13	32	or	or	CCONJ
ejpam-4280	13	33	inflation	inflation	NOUN
ejpam-4280	13	34	.	.	PUNCT
ejpam-4280	14	1	in	in	ADP
ejpam-4280	14	2	the	the	DET
ejpam-4280	14	3	same	same	ADJ
ejpam-4280	14	4	vein	vein	NOUN
ejpam-4280	14	5	,	,	PUNCT
ejpam-4280	14	6	in	in	ADP
ejpam-4280	14	7	many	many	ADJ
ejpam-4280	14	8	applications	application	NOUN
ejpam-4280	14	9	,	,	PUNCT
ejpam-4280	14	10	the	the	DET
ejpam-4280	14	11	tail	tail	NOUN
ejpam-4280	14	12	quantiles	quantile	NOUN
ejpam-4280	14	13	of	of	ADP
ejpam-4280	14	14	the	the	DET
ejpam-4280	14	15	variable	variable	NOUN
ejpam-4280	14	16	of	of	ADP
ejpam-4280	14	17	interest	interest	NOUN
ejpam-4280	14	18	y	y	PROPN
ejpam-4280	14	19	depend	depend	VERB
ejpam-4280	14	20	on	on	ADP
ejpam-4280	14	21	some	some	DET
ejpam-4280	14	22	covariate	covariate	NOUN
ejpam-4280	14	23	x	x	NOUN
ejpam-4280	14	24	from	from	ADP
ejpam-4280	14	25	whom	whom	PRON
ejpam-4280	14	26	the	the	DET
ejpam-4280	14	27	var	var	NOUN
ejpam-4280	14	28	depends	depend	VERB
ejpam-4280	14	29	on	on	ADP
ejpam-4280	14	30	.	.	PUNCT
ejpam-4280	15	1	but	but	CCONJ
ejpam-4280	15	2	,	,	PUNCT
ejpam-4280	15	3	in	in	ADP
ejpam-4280	15	4	practice	practice	NOUN
ejpam-4280	15	5	its	its	PRON
ejpam-4280	15	6	estimation	estimation	NOUN
ejpam-4280	15	7	does	do	AUX
ejpam-4280	15	8	not	not	PART
ejpam-4280	15	9	take	take	VERB
ejpam-4280	15	10	into	into	ADP
ejpam-4280	15	11	account	account	NOUN
ejpam-4280	15	12	the	the	DET
ejpam-4280	15	13	effect	effect	NOUN
ejpam-4280	15	14	of	of	ADP
ejpam-4280	15	15	covariates	covariate	NOUN
ejpam-4280	15	16	on	on	ADP
ejpam-4280	15	17	the	the	DET
ejpam-4280	15	18	variable	variable	NOUN
ejpam-4280	15	19	of	of	ADP
ejpam-4280	15	20	interest	interest	NOUN
ejpam-4280	15	21	.	.	PUNCT
ejpam-4280	16	1	so	so	ADV
ejpam-4280	16	2	,	,	PUNCT
ejpam-4280	16	3	it	it	PRON
ejpam-4280	16	4	turns	turn	VERB
ejpam-4280	16	5	out	out	ADP
ejpam-4280	16	6	to	to	PART
ejpam-4280	16	7	be	be	AUX
ejpam-4280	16	8	necessary	necessary	ADJ
ejpam-4280	16	9	in	in	ADP
ejpam-4280	16	10	the	the	DET
ejpam-4280	16	11	estimation	estimation	NOUN
ejpam-4280	16	12	of	of	ADP
ejpam-4280	16	13	certain	certain	ADJ
ejpam-4280	16	14	risk	risk	NOUN
ejpam-4280	16	15	measures	measure	NOUN
ejpam-4280	16	16	such	such	ADJ
ejpam-4280	16	17	as	as	ADP
ejpam-4280	16	18	var	var	NOUN
ejpam-4280	16	19	,	,	PUNCT
ejpam-4280	16	20	to	to	PART
ejpam-4280	16	21	take	take	VERB
ejpam-4280	16	22	into	into	ADP
ejpam-4280	16	23	account	account	NOUN
ejpam-4280	16	24	the	the	DET
ejpam-4280	16	25	influence	influence	NOUN
ejpam-4280	16	26	of	of	ADP
ejpam-4280	16	27	covariates	covariate	NOUN
ejpam-4280	16	28	.	.	PUNCT
ejpam-4280	17	1	∗corresponding	∗corresponde	VERB
ejpam-4280	17	2	author	author	NOUN
ejpam-4280	17	3	.	.	PUNCT
ejpam-4280	18	1	doi	doi	NOUN
ejpam-4280	18	2	:	:	PUNCT
ejpam-4280	18	3	https://doi.org/10.29020/nybg.ejpam.v15i4.4280	https://doi.org/10.29020/nybg.ejpam.v15i4.4280	VERB
ejpam-4280	18	4	email	email	NOUN
ejpam-4280	18	5	addresses	address	NOUN
ejpam-4280	18	6	:	:	PUNCT
ejpam-4280	19	1	korotimioued@gmail.com	korotimioued@gmail.com	X
ejpam-4280	19	2	.	.	PUNCT
ejpam-4280	20	1	(	(	PUNCT
ejpam-4280	20	2	k.	k.	PROPN
ejpam-4280	20	3	ouédraogol	ouédraogol	PROPN
ejpam-4280	20	4	wahid	wahid	PROPN
ejpam-4280	20	5	)	)	PUNCT
ejpam-4280	20	6	,	,	PUNCT
ejpam-4280	20	7	dbarro2@gmail.com	dbarro2@gmail.com	X
ejpam-4280	20	8	(	(	PUNCT
ejpam-4280	20	9	d.	d.	NOUN
ejpam-4280	20	10	barro	barro	PROPN
ejpam-4280	20	11	)	)	PUNCT
ejpam-4280	20	12	https://www.ejpam.com	https://www.ejpam.com	X
ejpam-4280	20	13	2074	2074	NUM
ejpam-4280	21	1	©	©	ADP
ejpam-4280	21	2	2022	2022	NUM
ejpam-4280	21	3	ejpam	ejpam	VERB
ejpam-4280	21	4	all	all	DET
ejpam-4280	21	5	rights	right	NOUN
ejpam-4280	21	6	reserved	reserve	VERB
ejpam-4280	21	7	.	.	PUNCT
ejpam-4280	22	1	k.	k.	PROPN
ejpam-4280	22	2	ouédraogo	ouédraogo	PROPN
ejpam-4280	22	3	,	,	PUNCT
ejpam-4280	22	4	d.	d.	PROPN
ejpam-4280	22	5	barro	barro	PROPN
ejpam-4280	22	6	/	/	SYM
ejpam-4280	22	7	eur	eur	PROPN
ejpam-4280	22	8	.	.	PUNCT
ejpam-4280	23	1	j.	j.	PROPN
ejpam-4280	23	2	pure	pure	PROPN
ejpam-4280	23	3	appl	appl	PROPN
ejpam-4280	23	4	.	.	PROPN
ejpam-4280	23	5	math	math	PROPN
ejpam-4280	23	6	,	,	PUNCT
ejpam-4280	23	7	15	15	NUM
ejpam-4280	23	8	(	(	PUNCT
ejpam-4280	23	9	4	4	NUM
ejpam-4280	23	10	)	)	PUNCT
ejpam-4280	23	11	(	(	PUNCT
ejpam-4280	23	12	2022	2022	NUM
ejpam-4280	23	13	)	)	PUNCT
ejpam-4280	23	14	,	,	PUNCT
ejpam-4280	23	15	2074	2074	NUM
ejpam-4280	23	16	-	-	SYM
ejpam-4280	23	17	2085	2085	NUM
ejpam-4280	23	18	2075	2075	NUM
ejpam-4280	23	19	a	a	DET
ejpam-4280	23	20	var	var	NOUN
ejpam-4280	23	21	of	of	ADP
ejpam-4280	23	22	level	level	NOUN
ejpam-4280	24	1	α	α	PRON
ejpam-4280	24	2	being	be	AUX
ejpam-4280	24	3	a	a	DET
ejpam-4280	24	4	quantile	quantile	NOUN
ejpam-4280	24	5	of	of	ADP
ejpam-4280	24	6	order	order	NOUN
ejpam-4280	24	7	α	α	NOUN
ejpam-4280	24	8	,	,	PUNCT
ejpam-4280	24	9	the	the	DET
ejpam-4280	24	10	estimation	estimation	NOUN
ejpam-4280	24	11	of	of	ADP
ejpam-4280	24	12	a	a	DET
ejpam-4280	24	13	value	value	NOUN
ejpam-4280	24	14	at	at	ADP
ejpam-4280	24	15	risk	risk	NOUN
ejpam-4280	24	16	in	in	ADP
ejpam-4280	24	17	the	the	DET
ejpam-4280	24	18	presence	presence	NOUN
ejpam-4280	24	19	of	of	ADP
ejpam-4280	24	20	covariates	covariate	NOUN
ejpam-4280	24	21	consists	consist	VERB
ejpam-4280	24	22	in	in	ADP
ejpam-4280	24	23	the	the	DET
ejpam-4280	24	24	estimation	estimation	NOUN
ejpam-4280	24	25	of	of	ADP
ejpam-4280	24	26	a	a	DET
ejpam-4280	24	27	conditional	conditional	ADJ
ejpam-4280	24	28	quantile	quantile	NOUN
ejpam-4280	24	29	.	.	PUNCT
ejpam-4280	25	1	let	let	VERB
ejpam-4280	25	2	(	(	PUNCT
ejpam-4280	25	3	y	y	NOUN
ejpam-4280	25	4	,	,	PUNCT
ejpam-4280	25	5	x	x	X
ejpam-4280	25	6	)	)	PUNCT
ejpam-4280	25	7	be	be	AUX
ejpam-4280	25	8	a	a	DET
ejpam-4280	25	9	pair	pair	NOUN
ejpam-4280	25	10	of	of	ADP
ejpam-4280	25	11	random	random	ADJ
ejpam-4280	25	12	variables	variable	NOUN
ejpam-4280	25	13	such	such	ADJ
ejpam-4280	25	14	that	that	SCONJ
ejpam-4280	25	15	y	y	PROPN
ejpam-4280	25	16	is	be	AUX
ejpam-4280	25	17	the	the	DET
ejpam-4280	25	18	univariate	univariate	ADJ
ejpam-4280	25	19	response	response	NOUN
ejpam-4280	25	20	or	or	CCONJ
ejpam-4280	25	21	interest	interest	NOUN
ejpam-4280	25	22	variable	variable	NOUN
ejpam-4280	25	23	,	,	PUNCT
ejpam-4280	25	24	with	with	ADP
ejpam-4280	25	25	marginal	marginal	ADJ
ejpam-4280	25	26	distribution	distribution	NOUN
ejpam-4280	25	27	function	function	NOUN
ejpam-4280	25	28	f0	f0	PROPN
ejpam-4280	25	29	and	and	CCONJ
ejpam-4280	25	30	x	x	SYM
ejpam-4280	25	31	the	the	DET
ejpam-4280	25	32	covariate	covariate	NOUN
ejpam-4280	25	33	is	be	AUX
ejpam-4280	25	34	a	a	DET
ejpam-4280	25	35	random	random	ADJ
ejpam-4280	25	36	vector	vector	NOUN
ejpam-4280	25	37	with	with	ADP
ejpam-4280	25	38	marginal	marginal	ADJ
ejpam-4280	25	39	distribution	distribution	NOUN
ejpam-4280	25	40	function	function	NOUN
ejpam-4280	25	41	f	f	NOUN
ejpam-4280	25	42	;	;	PUNCT
ejpam-4280	25	43	the	the	DET
ejpam-4280	25	44	conditional	conditional	ADJ
ejpam-4280	25	45	distribution	distribution	NOUN
ejpam-4280	25	46	function	function	NOUN
ejpam-4280	25	47	will	will	AUX
ejpam-4280	25	48	be	be	AUX
ejpam-4280	25	49	noted	note	VERB
ejpam-4280	25	50	fy	fy	PROPN
ejpam-4280	25	51	(	(	PUNCT
ejpam-4280	25	52	•	•	INTJ
ejpam-4280	25	53	|	|	ADV
ejpam-4280	25	54	x	x	NOUN
ejpam-4280	25	55	)	)	PUNCT
ejpam-4280	25	56	.	.	PUNCT
ejpam-4280	26	1	the	the	DET
ejpam-4280	26	2	var	var	NOUN
ejpam-4280	26	3	under	under	ADP
ejpam-4280	26	4	the	the	DET
ejpam-4280	26	5	effects	effect	NOUN
ejpam-4280	26	6	of	of	ADP
ejpam-4280	26	7	covariates	covariate	NOUN
ejpam-4280	26	8	of	of	ADP
ejpam-4280	26	9	level	level	NOUN
ejpam-4280	26	10	α	α	NOUN
ejpam-4280	26	11	is	be	AUX
ejpam-4280	26	12	defined	define	VERB
ejpam-4280	26	13	by	by	ADP
ejpam-4280	26	14	cov	cov	PROPN
ejpam-4280	26	15	ary	ary	PROPN
ejpam-4280	26	16	(	(	PUNCT
ejpam-4280	26	17	α	α	NOUN
ejpam-4280	26	18	)	)	PUNCT
ejpam-4280	26	19	=	=	SYM
ejpam-4280	26	20	qy	qy	PROPN
ejpam-4280	26	21	(	(	PUNCT
ejpam-4280	26	22	α	α	NOUN
ejpam-4280	26	23	|	|	ADV
ejpam-4280	26	24	x	x	NOUN
ejpam-4280	26	25	=	=	PUNCT
ejpam-4280	26	26	x	x	X
ejpam-4280	26	27	)	)	PUNCT
ejpam-4280	26	28	=	=	SYM
ejpam-4280	26	29	inf	inf	NOUN
ejpam-4280	26	30	{	{	PUNCT
ejpam-4280	26	31	y	y	NOUN
ejpam-4280	26	32	:	:	PUNCT
ejpam-4280	26	33	fy	fy	PROPN
ejpam-4280	26	34	(	(	PUNCT
ejpam-4280	26	35	y	y	PROPN
ejpam-4280	26	36	|	|	ADV
ejpam-4280	26	37	x	x	NOUN
ejpam-4280	26	38	)	)	PUNCT
ejpam-4280	26	39	≥	≥	NUM
ejpam-4280	26	40	α	α	NOUN
ejpam-4280	26	41	}	}	PUNCT
ejpam-4280	26	42	,	,	PUNCT
ejpam-4280	26	43	(	(	PUNCT
ejpam-4280	26	44	2	2	X
ejpam-4280	26	45	)	)	PUNCT
ejpam-4280	26	46	where	where	SCONJ
ejpam-4280	26	47	x	x	PRON
ejpam-4280	26	48	is	be	AUX
ejpam-4280	26	49	a	a	DET
ejpam-4280	26	50	prespecified	prespecified	ADJ
ejpam-4280	26	51	covariate	covariate	NOUN
ejpam-4280	26	52	vector	vector	NOUN
ejpam-4280	26	53	.	.	PUNCT
ejpam-4280	27	1	several	several	ADJ
ejpam-4280	27	2	methods	method	NOUN
ejpam-4280	27	3	of	of	ADP
ejpam-4280	27	4	estimating	estimate	VERB
ejpam-4280	27	5	extreme	extreme	ADJ
ejpam-4280	27	6	conditional	conditional	ADJ
ejpam-4280	27	7	quantiles	quantile	NOUN
ejpam-4280	27	8	based	base	VERB
ejpam-4280	27	9	on	on	ADP
ejpam-4280	27	10	extreme	extreme	ADJ
ejpam-4280	27	11	values	value	NOUN
ejpam-4280	27	12	theory	theory	NOUN
ejpam-4280	27	13	(	(	PUNCT
ejpam-4280	27	14	evt	evt	PROPN
ejpam-4280	27	15	)	)	PUNCT
ejpam-4280	27	16	exist	exist	VERB
ejpam-4280	27	17	.	.	PUNCT
ejpam-4280	28	1	more	more	ADV
ejpam-4280	28	2	particularly	particularly	ADV
ejpam-4280	28	3	,	,	PUNCT
ejpam-4280	28	4	j.	j.	PROPN
ejpam-4280	28	5	beirlant	beirlant	PROPN
ejpam-4280	28	6	et	et	PROPN
ejpam-4280	28	7	al.[1	al.[1	PROPN
ejpam-4280	28	8	]	]	PUNCT
ejpam-4280	28	9	used	use	VERB
ejpam-4280	28	10	univariate	univariate	ADJ
ejpam-4280	28	11	extreme	extreme	ADJ
ejpam-4280	28	12	theory	theory	NOUN
ejpam-4280	28	13	and	and	CCONJ
ejpam-4280	28	14	quantile	quantile	ADJ
ejpam-4280	28	15	regression	regression	NOUN
ejpam-4280	28	16	to	to	PART
ejpam-4280	28	17	estimate	estimate	VERB
ejpam-4280	28	18	conditional	conditional	ADJ
ejpam-4280	28	19	quantiles	quantile	NOUN
ejpam-4280	28	20	.	.	PUNCT
ejpam-4280	29	1	based	base	VERB
ejpam-4280	29	2	on	on	ADP
ejpam-4280	29	3	the	the	DET
ejpam-4280	29	4	nearest	near	ADJ
ejpam-4280	29	5	neighbours	neighbour	NOUN
ejpam-4280	29	6	method	method	NOUN
ejpam-4280	29	7	,	,	PUNCT
ejpam-4280	29	8	gardes	gardes	PROPN
ejpam-4280	29	9	and	and	CCONJ
ejpam-4280	29	10	al	al	PROPN
ejpam-4280	29	11	.	.	PUNCT
ejpam-4280	30	1	[	[	X
ejpam-4280	30	2	2	2	X
ejpam-4280	30	3	]	]	PUNCT
ejpam-4280	30	4	have	have	AUX
ejpam-4280	30	5	proposed	propose	VERB
ejpam-4280	30	6	a	a	DET
ejpam-4280	30	7	method	method	NOUN
ejpam-4280	30	8	for	for	ADP
ejpam-4280	30	9	estimating	estimate	VERB
ejpam-4280	30	10	extreme	extreme	ADJ
ejpam-4280	30	11	conditional	conditional	ADJ
ejpam-4280	30	12	quantiles	quantile	NOUN
ejpam-4280	30	13	.	.	PUNCT
ejpam-4280	31	1	however	however	ADV
ejpam-4280	31	2	,	,	PUNCT
ejpam-4280	31	3	this	this	DET
ejpam-4280	31	4	method	method	NOUN
ejpam-4280	31	5	suffers	suffer	VERB
ejpam-4280	31	6	from	from	ADP
ejpam-4280	31	7	the	the	DET
ejpam-4280	31	8	lack	lack	NOUN
ejpam-4280	31	9	of	of	ADP
ejpam-4280	31	10	data	datum	NOUN
ejpam-4280	31	11	in	in	ADP
ejpam-4280	31	12	the	the	DET
ejpam-4280	31	13	local	local	ADJ
ejpam-4280	31	14	neighbourhood	neighbourhood	NOUN
ejpam-4280	31	15	.	.	PUNCT
ejpam-4280	32	1	based	base	VERB
ejpam-4280	32	2	also	also	ADV
ejpam-4280	32	3	on	on	ADP
ejpam-4280	32	4	evt	evt	PROPN
ejpam-4280	32	5	and	and	CCONJ
ejpam-4280	32	6	quantile	quantile	ADJ
ejpam-4280	32	7	regression	regression	NOUN
ejpam-4280	32	8	,	,	PUNCT
ejpam-4280	32	9	wang	wang	PROPN
ejpam-4280	32	10	and	and	CCONJ
ejpam-4280	32	11	al	al	PROPN
ejpam-4280	32	12	.	.	PUNCT
ejpam-4280	33	1	[	[	X
ejpam-4280	33	2	3	3	X
ejpam-4280	33	3	]	]	PUNCT
ejpam-4280	33	4	proposed	propose	VERB
ejpam-4280	33	5	an	an	DET
ejpam-4280	33	6	estimation	estimation	NOUN
ejpam-4280	33	7	method	method	NOUN
ejpam-4280	33	8	assuming	assume	VERB
ejpam-4280	33	9	the	the	DET
ejpam-4280	33	10	linear	linear	ADJ
ejpam-4280	33	11	dependence	dependence	NOUN
ejpam-4280	33	12	model	model	NOUN
ejpam-4280	33	13	.	.	PUNCT
ejpam-4280	34	1	furthermore	furthermore	ADV
ejpam-4280	34	2	,	,	PUNCT
ejpam-4280	34	3	in	in	ADP
ejpam-4280	34	4	2013	2013	NUM
ejpam-4280	34	5	,	,	PUNCT
ejpam-4280	34	6	wang	wang	PROPN
ejpam-4280	34	7	and	and	CCONJ
ejpam-4280	34	8	al.[4	al.[4	PROPN
ejpam-4280	34	9	]	]	PUNCT
ejpam-4280	34	10	proposed	propose	VERB
ejpam-4280	34	11	another	another	DET
ejpam-4280	34	12	estimation	estimation	NOUN
ejpam-4280	34	13	method	method	NOUN
ejpam-4280	34	14	by	by	ADP
ejpam-4280	34	15	relaxing	relax	VERB
ejpam-4280	34	16	the	the	DET
ejpam-4280	34	17	linearity	linearity	NOUN
ejpam-4280	34	18	assumption	assumption	NOUN
ejpam-4280	34	19	while	while	SCONJ
ejpam-4280	34	20	noh	noh	PROPN
ejpam-4280	34	21	et	et	PROPN
ejpam-4280	34	22	al	al	PROPN
ejpam-4280	34	23	.	.	PUNCT
ejpam-4280	35	1	[	[	X
ejpam-4280	35	2	5	5	NUM
ejpam-4280	35	3	]	]	PUNCT
ejpam-4280	35	4	focused	focus	VERB
ejpam-4280	35	5	on	on	ADP
ejpam-4280	35	6	a	a	DET
ejpam-4280	35	7	semi	semi	ADJ
ejpam-4280	35	8	-	-	ADJ
ejpam-4280	35	9	parametric	parametric	ADJ
ejpam-4280	35	10	method	method	NOUN
ejpam-4280	35	11	for	for	ADP
ejpam-4280	35	12	estimating	estimate	VERB
ejpam-4280	35	13	conditional	conditional	ADJ
ejpam-4280	35	14	quantiles	quantile	NOUN
ejpam-4280	35	15	based	base	VERB
ejpam-4280	35	16	on	on	ADP
ejpam-4280	35	17	quantile	quantile	ADJ
ejpam-4280	35	18	regression	regression	NOUN
ejpam-4280	35	19	and	and	CCONJ
ejpam-4280	35	20	copulas	copula	NOUN
ejpam-4280	35	21	.	.	PUNCT
ejpam-4280	36	1	in	in	ADP
ejpam-4280	36	2	2017	2017	NUM
ejpam-4280	36	3	,	,	PUNCT
ejpam-4280	36	4	nasri	nasri	PROPN
ejpam-4280	36	5	&	&	CCONJ
ejpam-4280	36	6	bouezmarni	bouezmarni	PROPN
ejpam-4280	36	7	[	[	X
ejpam-4280	36	8	6	6	NUM
ejpam-4280	36	9	]	]	PUNCT
ejpam-4280	36	10	proposed	propose	VERB
ejpam-4280	36	11	two	two	NUM
ejpam-4280	36	12	parametric	parametric	ADJ
ejpam-4280	36	13	and	and	CCONJ
ejpam-4280	36	14	semi	semi	ADJ
ejpam-4280	36	15	-	-	ADJ
ejpam-4280	36	16	parametric	parametric	ADJ
ejpam-4280	36	17	estimation	estimation	NOUN
ejpam-4280	36	18	methods	method	NOUN
ejpam-4280	36	19	based	base	VERB
ejpam-4280	36	20	on	on	ADP
ejpam-4280	36	21	copulas	copula	NOUN
ejpam-4280	36	22	.	.	PUNCT
ejpam-4280	37	1	in	in	ADP
ejpam-4280	37	2	this	this	DET
ejpam-4280	37	3	study	study	NOUN
ejpam-4280	37	4	,	,	PUNCT
ejpam-4280	37	5	we	we	PRON
ejpam-4280	37	6	consider	consider	VERB
ejpam-4280	37	7	a	a	DET
ejpam-4280	37	8	random	random	ADJ
ejpam-4280	37	9	vector	vector	NOUN
ejpam-4280	37	10	x	x	NOUN
ejpam-4280	37	11	=	=	SYM
ejpam-4280	37	12	(	(	PUNCT
ejpam-4280	37	13	x1;x2	x1;x2	X
ejpam-4280	37	14	;	;	PUNCT
ejpam-4280	37	15	...	...	PUNCT
ejpam-4280	37	16	;	;	PUNCT
ejpam-4280	37	17	xm)t	xm)t	PROPN
ejpam-4280	37	18	of	of	ADP
ejpam-4280	37	19	dimension	dimension	NOUN
ejpam-4280	37	20	m	m	VERB
ejpam-4280	37	21	with	with	ADP
ejpam-4280	37	22	joint	joint	ADJ
ejpam-4280	37	23	distribution	distribution	NOUN
ejpam-4280	37	24	function	function	NOUN
ejpam-4280	37	25	f	f	NOUN
ejpam-4280	37	26	and	and	CCONJ
ejpam-4280	37	27	marginal	marginal	ADJ
ejpam-4280	37	28	distribution	distribution	NOUN
ejpam-4280	37	29	function	function	NOUN
ejpam-4280	37	30	f1	f1	NOUN
ejpam-4280	37	31	;	;	PUNCT
ejpam-4280	37	32	...	...	PUNCT
ejpam-4280	37	33	;	;	PUNCT
ejpam-4280	37	34	fm	fm	PROPN
ejpam-4280	37	35	.	.	PROPN
ejpam-4280	38	1	according	accord	VERB
ejpam-4280	38	2	to	to	ADP
ejpam-4280	38	3	sklar	sklar	PROPN
ejpam-4280	38	4	’s	’s	PART
ejpam-4280	38	5	theorem	theorem	NOUN
ejpam-4280	38	6	[	[	X
ejpam-4280	38	7	7	7	X
ejpam-4280	38	8	]	]	PUNCT
ejpam-4280	38	9	we	we	PRON
ejpam-4280	38	10	can	can	AUX
ejpam-4280	38	11	find	find	VERB
ejpam-4280	38	12	a	a	DET
ejpam-4280	38	13	copula	copula	NOUN
ejpam-4280	38	14	c	c	NOUN
ejpam-4280	38	15	such	such	ADJ
ejpam-4280	38	16	that	that	SCONJ
ejpam-4280	38	17	f	f	PROPN
ejpam-4280	38	18	(	(	PUNCT
ejpam-4280	38	19	x1	x1	PROPN
ejpam-4280	38	20	;	;	PUNCT
ejpam-4280	38	21	...	...	PUNCT
ejpam-4280	38	22	;	;	PUNCT
ejpam-4280	38	23	xm	xm	X
ejpam-4280	38	24	)	)	PUNCT
ejpam-4280	38	25	=	=	SYM
ejpam-4280	38	26	c(f1(x1	c(f1(x1	ADJ
ejpam-4280	38	27	)	)	PUNCT
ejpam-4280	38	28	;	;	PUNCT
ejpam-4280	38	29	...	...	PUNCT
ejpam-4280	38	30	;	;	PUNCT
ejpam-4280	38	31	fm(xm	fm(xm	X
ejpam-4280	38	32	)	)	PUNCT
ejpam-4280	38	33	)	)	PUNCT
ejpam-4280	38	34	.	.	PUNCT
ejpam-4280	39	1	(	(	PUNCT
ejpam-4280	39	2	3	3	X
ejpam-4280	39	3	)	)	PUNCT
ejpam-4280	39	4	if	if	SCONJ
ejpam-4280	39	5	the	the	DET
ejpam-4280	39	6	marginals	marginal	NOUN
ejpam-4280	39	7	distributions	distribution	NOUN
ejpam-4280	39	8	functions	function	NOUN
ejpam-4280	39	9	f1	f1	NOUN
ejpam-4280	39	10	,	,	PUNCT
ejpam-4280	39	11	...	...	PUNCT
ejpam-4280	39	12	,	,	PUNCT
ejpam-4280	39	13	fm	fm	PROPN
ejpam-4280	39	14	are	be	AUX
ejpam-4280	39	15	continuous	continuous	ADJ
ejpam-4280	39	16	,	,	PUNCT
ejpam-4280	39	17	then	then	ADV
ejpam-4280	39	18	the	the	DET
ejpam-4280	39	19	copula	copula	NOUN
ejpam-4280	39	20	c	c	PROPN
ejpam-4280	39	21	is	be	AUX
ejpam-4280	39	22	unique	unique	ADJ
ejpam-4280	39	23	.	.	PUNCT
ejpam-4280	40	1	conversly	conversly	ADV
ejpam-4280	40	2	,	,	PUNCT
ejpam-4280	40	3	if	if	SCONJ
ejpam-4280	40	4	c	c	PROPN
ejpam-4280	40	5	is	be	AUX
ejpam-4280	40	6	a	a	DET
ejpam-4280	40	7	m	m	ADJ
ejpam-4280	40	8	-	-	ADJ
ejpam-4280	40	9	dimensional	dimensional	ADJ
ejpam-4280	40	10	copula	copula	NOUN
ejpam-4280	40	11	an	an	DET
ejpam-4280	40	12	f1	f1	NOUN
ejpam-4280	40	13	,	,	PUNCT
ejpam-4280	40	14	...	...	PUNCT
ejpam-4280	40	15	,	,	PUNCT
ejpam-4280	40	16	fm	fm	PROPN
ejpam-4280	40	17	univariate	univariate	ADJ
ejpam-4280	40	18	distributions	distribution	NOUN
ejpam-4280	40	19	functions	function	NOUN
ejpam-4280	40	20	,	,	PUNCT
ejpam-4280	40	21	then	then	ADV
ejpam-4280	40	22	the	the	DET
ejpam-4280	40	23	function	function	NOUN
ejpam-4280	40	24	f	f	PROPN
ejpam-4280	40	25	defined	define	VERB
ejpam-4280	40	26	by	by	ADP
ejpam-4280	40	27	(	(	PUNCT
ejpam-4280	40	28	3	3	X
ejpam-4280	40	29	)	)	PUNCT
ejpam-4280	40	30	is	be	AUX
ejpam-4280	40	31	a	a	DET
ejpam-4280	40	32	distribution	distribution	NOUN
ejpam-4280	40	33	function	function	NOUN
ejpam-4280	40	34	with	with	ADP
ejpam-4280	40	35	margins	margin	NOUN
ejpam-4280	40	36	f1	f1	NOUN
ejpam-4280	40	37	,	,	PUNCT
ejpam-4280	40	38	...	...	PUNCT
ejpam-4280	40	39	,	,	PUNCT
ejpam-4280	40	40	fm	fm	PROPN
ejpam-4280	40	41	and	and	CCONJ
ejpam-4280	40	42	c(u1	c(u1	NOUN
ejpam-4280	40	43	,	,	PUNCT
ejpam-4280	40	44	...	...	PUNCT
ejpam-4280	40	45	,	,	PUNCT
ejpam-4280	40	46	um	um	INTJ
ejpam-4280	40	47	)	)	PUNCT
ejpam-4280	40	48	=	=	SYM
ejpam-4280	40	49	f	f	PROPN
ejpam-4280	40	50	(	(	PUNCT
ejpam-4280	40	51	f−1	f−1	PROPN
ejpam-4280	40	52	1	1	NUM
ejpam-4280	40	53	(	(	PUNCT
ejpam-4280	40	54	u1	u1	NOUN
ejpam-4280	40	55	)	)	PUNCT
ejpam-4280	40	56	,	,	PUNCT
ejpam-4280	40	57	...	...	PUNCT
ejpam-4280	40	58	,	,	PUNCT
ejpam-4280	40	59	f	f	PROPN
ejpam-4280	40	60	−1	−1	NOUN
ejpam-4280	40	61	m	m	VERB
ejpam-4280	40	62	(	(	PUNCT
ejpam-4280	40	63	um	um	INTJ
ejpam-4280	40	64	)	)	PUNCT
ejpam-4280	40	65	)	)	PUNCT
ejpam-4280	40	66	.	.	PUNCT
ejpam-4280	41	1	(	(	PUNCT
ejpam-4280	41	2	4	4	X
ejpam-4280	41	3	)	)	PUNCT
ejpam-4280	41	4	more	more	ADJ
ejpam-4280	41	5	generaly	generaly	NOUN
ejpam-4280	41	6	,	,	PUNCT
ejpam-4280	41	7	the	the	DET
ejpam-4280	41	8	copula	copula	NOUN
ejpam-4280	41	9	c	c	PROPN
ejpam-4280	41	10	and	and	CCONJ
ejpam-4280	41	11	the	the	DET
ejpam-4280	41	12	marginal	marginal	ADJ
ejpam-4280	41	13	distribution	distribution	NOUN
ejpam-4280	41	14	functions	function	NOUN
ejpam-4280	41	15	are	be	AUX
ejpam-4280	41	16	not	not	PART
ejpam-4280	41	17	known	know	VERB
ejpam-4280	41	18	and	and	CCONJ
ejpam-4280	41	19	are	be	AUX
ejpam-4280	41	20	estimated	estimate	VERB
ejpam-4280	41	21	.	.	PUNCT
ejpam-4280	42	1	several	several	ADJ
ejpam-4280	42	2	methods	method	NOUN
ejpam-4280	42	3	of	of	ADP
ejpam-4280	42	4	estimating	estimate	VERB
ejpam-4280	42	5	copulas	copula	NOUN
ejpam-4280	42	6	have	have	AUX
ejpam-4280	42	7	been	be	AUX
ejpam-4280	42	8	proposed	propose	VERB
ejpam-4280	42	9	.	.	PUNCT
ejpam-4280	43	1	parametric	parametric	ADJ
ejpam-4280	43	2	methods	method	NOUN
ejpam-4280	43	3	estimate	estimate	VERB
ejpam-4280	43	4	the	the	DET
ejpam-4280	43	5	copula	copula	NOUN
ejpam-4280	43	6	and	and	CCONJ
ejpam-4280	43	7	the	the	DET
ejpam-4280	43	8	marginal	marginal	ADJ
ejpam-4280	43	9	distribution	distribution	NOUN
ejpam-4280	43	10	functions	function	NOUN
ejpam-4280	43	11	in	in	ADP
ejpam-4280	43	12	a	a	DET
ejpam-4280	43	13	parametric	parametric	ADJ
ejpam-4280	43	14	way	way	NOUN
ejpam-4280	43	15	such	such	ADJ
ejpam-4280	43	16	as	as	ADP
ejpam-4280	43	17	in	in	ADP
ejpam-4280	43	18	oakes	oakes	PROPN
ejpam-4280	43	19	[	[	X
ejpam-4280	43	20	13	13	NUM
ejpam-4280	43	21	]	]	PUNCT
ejpam-4280	43	22	,	,	PUNCT
ejpam-4280	43	23	romano	romano	NOUN
ejpam-4280	43	24	and	and	CCONJ
ejpam-4280	43	25	joe	joe	PROPN
ejpam-4280	44	1	[	[	X
ejpam-4280	44	2	17	17	NUM
ejpam-4280	44	3	]	]	PUNCT
ejpam-4280	44	4	.	.	PUNCT
ejpam-4280	45	1	semi	semi	ADJ
ejpam-4280	45	2	-	-	ADJ
ejpam-4280	45	3	parametric	parametric	ADJ
ejpam-4280	45	4	methods	method	NOUN
ejpam-4280	45	5	assume	assume	VERB
ejpam-4280	45	6	instead	instead	ADV
ejpam-4280	45	7	a	a	DET
ejpam-4280	45	8	parametric	parametric	ADJ
ejpam-4280	45	9	model	model	NOUN
ejpam-4280	45	10	for	for	ADP
ejpam-4280	45	11	the	the	DET
ejpam-4280	45	12	copula	copula	NOUN
ejpam-4280	45	13	and	and	CCONJ
ejpam-4280	45	14	a	a	DET
ejpam-4280	45	15	non	non	ADJ
ejpam-4280	45	16	-	-	ADJ
ejpam-4280	45	17	parametric	parametric	ADJ
ejpam-4280	45	18	model	model	NOUN
ejpam-4280	45	19	for	for	ADP
ejpam-4280	45	20	the	the	DET
ejpam-4280	45	21	marginal	marginal	ADJ
ejpam-4280	45	22	functions	function	NOUN
ejpam-4280	45	23	,	,	PUNCT
ejpam-4280	45	24	see	see	VERB
ejpam-4280	45	25	[	[	X
ejpam-4280	45	26	10	10	NUM
ejpam-4280	45	27	]	]	PUNCT
ejpam-4280	45	28	,	,	PUNCT
ejpam-4280	46	1	[	[	X
ejpam-4280	46	2	11	11	NUM
ejpam-4280	46	3	]	]	PUNCT
ejpam-4280	46	4	,	,	PUNCT
ejpam-4280	47	1	[	[	X
ejpam-4280	47	2	14	14	NUM
ejpam-4280	47	3	]	]	PUNCT
ejpam-4280	47	4	and	and	CCONJ
ejpam-4280	47	5	[	[	X
ejpam-4280	47	6	23	23	NUM
ejpam-4280	47	7	]	]	PUNCT
ejpam-4280	47	8	.	.	PUNCT
ejpam-4280	48	1	finally	finally	ADV
ejpam-4280	48	2	there	there	PRON
ejpam-4280	48	3	are	be	VERB
ejpam-4280	48	4	the	the	DET
ejpam-4280	48	5	non	non	ADJ
ejpam-4280	48	6	-	-	ADJ
ejpam-4280	48	7	parametric	parametric	ADJ
ejpam-4280	48	8	estimation	estimation	NOUN
ejpam-4280	48	9	methods	method	NOUN
ejpam-4280	48	10	.	.	PUNCT
ejpam-4280	49	1	it	it	PRON
ejpam-4280	49	2	assumes	assume	VERB
ejpam-4280	49	3	a	a	DET
ejpam-4280	49	4	non	non	ADJ
ejpam-4280	49	5	-	-	ADJ
ejpam-4280	49	6	parametric	parametric	ADJ
ejpam-4280	49	7	model	model	NOUN
ejpam-4280	49	8	for	for	ADP
ejpam-4280	49	9	the	the	DET
ejpam-4280	49	10	copulas	copula	NOUN
ejpam-4280	49	11	and	and	CCONJ
ejpam-4280	49	12	the	the	DET
ejpam-4280	49	13	marginal	marginal	ADJ
ejpam-4280	49	14	distributions	distribution	NOUN
ejpam-4280	49	15	.	.	PUNCT
ejpam-4280	50	1	we	we	PRON
ejpam-4280	50	2	can	can	AUX
ejpam-4280	50	3	cite	cite	VERB
ejpam-4280	50	4	the	the	DET
ejpam-4280	50	5	work	work	NOUN
ejpam-4280	50	6	of	of	ADP
ejpam-4280	50	7	deuhevels	deuhevel	NOUN
ejpam-4280	50	8	[	[	X
ejpam-4280	50	9	9	9	NUM
ejpam-4280	50	10	]	]	PUNCT
ejpam-4280	50	11	,	,	PUNCT
ejpam-4280	50	12	gijbels	gijbel	NOUN
ejpam-4280	50	13	and	and	CCONJ
ejpam-4280	50	14	mielniczuk	mielniczuk	NOUN
ejpam-4280	50	15	[	[	X
ejpam-4280	50	16	12	12	NUM
ejpam-4280	50	17	]	]	PUNCT
ejpam-4280	50	18	.	.	PUNCT
ejpam-4280	51	1	in	in	ADP
ejpam-4280	51	2	this	this	DET
ejpam-4280	51	3	work	work	NOUN
ejpam-4280	51	4	we	we	PRON
ejpam-4280	51	5	use	use	VERB
ejpam-4280	51	6	a	a	DET
ejpam-4280	51	7	non	non	ADJ
ejpam-4280	51	8	-	-	ADJ
ejpam-4280	51	9	parametric	parametric	ADJ
ejpam-4280	51	10	copula	copula	NOUN
ejpam-4280	51	11	estimation	estimation	NOUN
ejpam-4280	51	12	method	method	NOUN
ejpam-4280	51	13	based	base	VERB
ejpam-4280	51	14	on	on	ADP
ejpam-4280	51	15	bernstein	bernstein	PROPN
ejpam-4280	51	16	polynomials	polynomial	NOUN
ejpam-4280	51	17	to	to	PART
ejpam-4280	51	18	estimate	estimate	VERB
ejpam-4280	51	19	the	the	DET
ejpam-4280	51	20	intermediate	intermediate	ADJ
ejpam-4280	51	21	conditional	conditional	ADJ
ejpam-4280	51	22	quantile	quantile	NOUN
ejpam-4280	51	23	.	.	PUNCT
ejpam-4280	52	1	sancetta	sancetta	NOUN
ejpam-4280	52	2	and	and	CCONJ
ejpam-4280	52	3	satchell	satchell	VERB
ejpam-4280	52	4	[	[	X
ejpam-4280	52	5	18	18	NUM
ejpam-4280	52	6	]	]	PUNCT
ejpam-4280	52	7	proposed	propose	VERB
ejpam-4280	52	8	in	in	ADP
ejpam-4280	52	9	2004	2004	NUM
ejpam-4280	52	10	a	a	DET
ejpam-4280	52	11	method	method	NOUN
ejpam-4280	52	12	for	for	ADP
ejpam-4280	52	13	estimating	estimate	VERB
ejpam-4280	52	14	the	the	DET
ejpam-4280	52	15	copula	copula	NOUN
ejpam-4280	52	16	function	function	NOUN
ejpam-4280	52	17	based	base	VERB
ejpam-4280	52	18	on	on	ADP
ejpam-4280	52	19	bernstein	bernstein	PROPN
ejpam-4280	52	20	k.	k.	PROPN
ejpam-4280	52	21	ouédraogo	ouédraogo	PROPN
ejpam-4280	52	22	,	,	PUNCT
ejpam-4280	52	23	d.	d.	PROPN
ejpam-4280	52	24	barro	barro	PROPN
ejpam-4280	52	25	/	/	SYM
ejpam-4280	52	26	eur	eur	PROPN
ejpam-4280	52	27	.	.	PUNCT
ejpam-4280	53	1	j.	j.	PROPN
ejpam-4280	53	2	pure	pure	PROPN
ejpam-4280	53	3	appl	appl	PROPN
ejpam-4280	53	4	.	.	PROPN
ejpam-4280	53	5	math	math	PROPN
ejpam-4280	53	6	,	,	PUNCT
ejpam-4280	53	7	15	15	NUM
ejpam-4280	53	8	(	(	PUNCT
ejpam-4280	53	9	4	4	NUM
ejpam-4280	53	10	)	)	PUNCT
ejpam-4280	53	11	(	(	PUNCT
ejpam-4280	53	12	2022	2022	NUM
ejpam-4280	53	13	)	)	PUNCT
ejpam-4280	53	14	,	,	PUNCT
ejpam-4280	53	15	2074	2074	NUM
ejpam-4280	53	16	-	-	SYM
ejpam-4280	53	17	2085	2085	NUM
ejpam-4280	53	18	2076	2076	NUM
ejpam-4280	53	19	polynomials	polynomial	NOUN
ejpam-4280	53	20	called	call	VERB
ejpam-4280	53	21	bernstein	bernstein	PROPN
ejpam-4280	53	22	copula	copula	PROPN
ejpam-4280	53	23	.	.	PUNCT
ejpam-4280	54	1	in	in	ADP
ejpam-4280	54	2	the	the	DET
ejpam-4280	54	3	following	following	NOUN
ejpam-4280	54	4	,	,	PUNCT
ejpam-4280	54	5	we	we	PRON
ejpam-4280	54	6	consider	consider	VERB
ejpam-4280	54	7	the	the	DET
ejpam-4280	54	8	univariate	univariate	ADJ
ejpam-4280	54	9	case	case	NOUN
ejpam-4280	54	10	,	,	PUNCT
ejpam-4280	54	11	i.e.	i.e.	X
ejpam-4280	54	12	m	m	ADJ
ejpam-4280	54	13	=	=	SYM
ejpam-4280	54	14	1	1	NUM
ejpam-4280	54	15	,	,	PUNCT
ejpam-4280	54	16	and	and	CCONJ
ejpam-4280	54	17	we	we	PRON
ejpam-4280	54	18	will	will	AUX
ejpam-4280	54	19	use	use	VERB
ejpam-4280	54	20	a	a	DET
ejpam-4280	54	21	non	non	ADJ
ejpam-4280	54	22	-	-	ADJ
ejpam-4280	54	23	parametric	parametric	ADJ
ejpam-4280	54	24	estimation	estimation	NOUN
ejpam-4280	54	25	of	of	ADP
ejpam-4280	54	26	copulas	copula	NOUN
ejpam-4280	54	27	for	for	ADP
ejpam-4280	54	28	the	the	DET
ejpam-4280	54	29	estimation	estimation	NOUN
ejpam-4280	54	30	of	of	ADP
ejpam-4280	54	31	our	our	PRON
ejpam-4280	54	32	intermediate	intermediate	ADJ
ejpam-4280	54	33	quantile	quantile	NOUN
ejpam-4280	54	34	.	.	PUNCT
ejpam-4280	55	1	our	our	PRON
ejpam-4280	55	2	method	method	NOUN
ejpam-4280	55	3	of	of	ADP
ejpam-4280	55	4	estimating	estimate	VERB
ejpam-4280	55	5	extreme	extreme	ADJ
ejpam-4280	55	6	conditional	conditional	ADJ
ejpam-4280	55	7	quantiles	quantile	NOUN
ejpam-4280	55	8	is	be	AUX
ejpam-4280	55	9	based	base	VERB
ejpam-4280	55	10	on	on	ADP
ejpam-4280	55	11	univariate	univariate	ADJ
ejpam-4280	55	12	evt	evt	NOUN
ejpam-4280	55	13	and	and	CCONJ
ejpam-4280	55	14	the	the	DET
ejpam-4280	55	15	relationship	relationship	NOUN
ejpam-4280	55	16	between	between	ADP
ejpam-4280	55	17	copulas	copula	NOUN
ejpam-4280	55	18	and	and	CCONJ
ejpam-4280	55	19	marginal	marginal	ADJ
ejpam-4280	55	20	distribution	distribution	NOUN
ejpam-4280	55	21	functions	function	NOUN
ejpam-4280	55	22	.	.	PUNCT
ejpam-4280	56	1	the	the	DET
ejpam-4280	56	2	method	method	NOUN
ejpam-4280	56	3	consists	consist	VERB
ejpam-4280	56	4	in	in	ADP
ejpam-4280	56	5	to	to	PART
ejpam-4280	56	6	use	use	VERB
ejpam-4280	56	7	the	the	DET
ejpam-4280	56	8	copulas	copula	NOUN
ejpam-4280	56	9	to	to	PART
ejpam-4280	56	10	estimate	estimate	VERB
ejpam-4280	56	11	the	the	DET
ejpam-4280	56	12	intermediate	intermediate	ADJ
ejpam-4280	56	13	conditional	conditional	ADJ
ejpam-4280	56	14	quantile	quantile	NOUN
ejpam-4280	56	15	and	and	CCONJ
ejpam-4280	56	16	then	then	ADV
ejpam-4280	56	17	using	use	VERB
ejpam-4280	56	18	the	the	DET
ejpam-4280	56	19	evt	evt	PROPN
ejpam-4280	56	20	to	to	PART
ejpam-4280	56	21	estimate	estimate	VERB
ejpam-4280	56	22	the	the	DET
ejpam-4280	56	23	extreme	extreme	ADJ
ejpam-4280	56	24	conditional	conditional	ADJ
ejpam-4280	56	25	quantile	quantile	NOUN
ejpam-4280	56	26	.	.	PUNCT
ejpam-4280	57	1	evt	evt	PROPN
ejpam-4280	57	2	provides	provide	VERB
ejpam-4280	57	3	a	a	DET
ejpam-4280	57	4	elegant	elegant	ADJ
ejpam-4280	57	5	mathematicals	mathematical	NOUN
ejpam-4280	57	6	tool	tool	NOUN
ejpam-4280	57	7	for	for	ADP
ejpam-4280	57	8	analyzing	analyze	VERB
ejpam-4280	57	9	rares	rare	NOUN
ejpam-4280	57	10	events	event	NOUN
ejpam-4280	57	11	.	.	PUNCT
ejpam-4280	58	1	our	our	PRON
ejpam-4280	58	2	method	method	NOUN
ejpam-4280	58	3	of	of	ADP
ejpam-4280	58	4	estimating	estimate	VERB
ejpam-4280	58	5	the	the	DET
ejpam-4280	58	6	extreme	extreme	ADJ
ejpam-4280	58	7	conditional	conditional	PROPN
ejpam-4280	58	8	quantile	quantile	NOUN
ejpam-4280	58	9	differs	differ	VERB
ejpam-4280	58	10	from	from	ADP
ejpam-4280	58	11	existing	exist	VERB
ejpam-4280	58	12	methods	method	NOUN
ejpam-4280	58	13	in	in	ADP
ejpam-4280	58	14	that	that	PRON
ejpam-4280	58	15	by	by	ADP
ejpam-4280	58	16	using	use	VERB
ejpam-4280	58	17	copulas	copula	NOUN
ejpam-4280	58	18	namely	namely	ADV
ejpam-4280	58	19	bernstein	bernstein	PROPN
ejpam-4280	58	20	copulas	copulas	PROPN
ejpam-4280	58	21	,	,	PUNCT
ejpam-4280	58	22	the	the	DET
ejpam-4280	58	23	dependence	dependence	NOUN
ejpam-4280	58	24	relationship	relationship	NOUN
ejpam-4280	58	25	between	between	ADP
ejpam-4280	58	26	the	the	DET
ejpam-4280	58	27	variable	variable	NOUN
ejpam-4280	58	28	of	of	ADP
ejpam-4280	58	29	interest	interest	NOUN
ejpam-4280	58	30	and	and	CCONJ
ejpam-4280	58	31	the	the	DET
ejpam-4280	58	32	covariate	covariate	NOUN
ejpam-4280	58	33	is	be	AUX
ejpam-4280	58	34	general	general	ADJ
ejpam-4280	58	35	.	.	PUNCT
ejpam-4280	59	1	in	in	ADP
ejpam-4280	59	2	particular	particular	ADJ
ejpam-4280	59	3	,	,	PUNCT
ejpam-4280	59	4	bernstein	bernstein	PROPN
ejpam-4280	59	5	copulas	copula	NOUN
ejpam-4280	59	6	provide	provide	VERB
ejpam-4280	59	7	a	a	DET
ejpam-4280	59	8	more	more	ADV
ejpam-4280	59	9	adequate	adequate	ADJ
ejpam-4280	59	10	estimate	estimate	NOUN
ejpam-4280	59	11	of	of	ADP
ejpam-4280	59	12	the	the	DET
ejpam-4280	59	13	underlying	underlying	ADJ
ejpam-4280	59	14	dependence	dependence	NOUN
ejpam-4280	59	15	structure	structure	NOUN
ejpam-4280	59	16	.	.	PUNCT
ejpam-4280	60	1	the	the	DET
ejpam-4280	60	2	paper	paper	NOUN
ejpam-4280	60	3	is	be	AUX
ejpam-4280	60	4	structured	structure	VERB
ejpam-4280	60	5	as	as	SCONJ
ejpam-4280	60	6	follows	follow	VERB
ejpam-4280	60	7	.	.	PUNCT
ejpam-4280	61	1	in	in	ADP
ejpam-4280	61	2	the	the	DET
ejpam-4280	61	3	second	second	ADJ
ejpam-4280	61	4	section	section	NOUN
ejpam-4280	61	5	,	,	PUNCT
ejpam-4280	61	6	we	we	PRON
ejpam-4280	61	7	will	will	AUX
ejpam-4280	61	8	discuss	discuss	VERB
ejpam-4280	61	9	the	the	DET
ejpam-4280	61	10	various	various	ADJ
ejpam-4280	61	11	preliminaries	preliminary	NOUN
ejpam-4280	61	12	that	that	SCONJ
ejpam-4280	61	13	concern	concern	NOUN
ejpam-4280	61	14	extreme	extreme	ADJ
ejpam-4280	61	15	values	value	NOUN
ejpam-4280	61	16	theory	theory	NOUN
ejpam-4280	61	17	and	and	CCONJ
ejpam-4280	61	18	copulas	copula	NOUN
ejpam-4280	61	19	.	.	PUNCT
ejpam-4280	62	1	in	in	ADP
ejpam-4280	62	2	the	the	DET
ejpam-4280	62	3	section	section	NOUN
ejpam-4280	62	4	3	3	NUM
ejpam-4280	62	5	we	we	PRON
ejpam-4280	62	6	present	present	VERB
ejpam-4280	62	7	our	our	PRON
ejpam-4280	62	8	estimation	estimation	NOUN
ejpam-4280	62	9	method	method	NOUN
ejpam-4280	62	10	and	and	CCONJ
ejpam-4280	62	11	study	study	VERB
ejpam-4280	62	12	the	the	DET
ejpam-4280	62	13	asymptotic	asymptotic	ADJ
ejpam-4280	62	14	behaviour	behaviour	NOUN
ejpam-4280	62	15	of	of	ADP
ejpam-4280	62	16	our	our	PRON
ejpam-4280	62	17	estimator	estimator	NOUN
ejpam-4280	62	18	.	.	PUNCT
ejpam-4280	63	1	the	the	DET
ejpam-4280	63	2	last	last	ADJ
ejpam-4280	63	3	section	section	NOUN
ejpam-4280	63	4	consists	consist	VERB
ejpam-4280	63	5	of	of	ADP
ejpam-4280	63	6	the	the	DET
ejpam-4280	63	7	conclusion	conclusion	NOUN
ejpam-4280	63	8	followed	follow	VERB
ejpam-4280	63	9	by	by	ADP
ejpam-4280	63	10	a	a	DET
ejpam-4280	63	11	discussion	discussion	NOUN
ejpam-4280	63	12	.	.	PUNCT
ejpam-4280	64	1	2	2	X
ejpam-4280	64	2	.	.	X
ejpam-4280	64	3	materials	material	NOUN
ejpam-4280	64	4	and	and	CCONJ
ejpam-4280	64	5	methods	method	NOUN
ejpam-4280	64	6	in	in	ADP
ejpam-4280	64	7	the	the	DET
ejpam-4280	64	8	following	follow	VERB
ejpam-4280	64	9	sections	section	NOUN
ejpam-4280	64	10	,	,	PUNCT
ejpam-4280	64	11	we	we	PRON
ejpam-4280	64	12	estimate	estimate	VERB
ejpam-4280	64	13	the	the	DET
ejpam-4280	64	14	intermediate	intermediate	ADJ
ejpam-4280	64	15	conditional	conditional	ADJ
ejpam-4280	64	16	quantile	quantile	NOUN
ejpam-4280	64	17	based	base	VERB
ejpam-4280	64	18	on	on	ADP
ejpam-4280	64	19	a	a	DET
ejpam-4280	64	20	copulas	copula	NOUN
ejpam-4280	64	21	and	and	CCONJ
ejpam-4280	64	22	we	we	PRON
ejpam-4280	64	23	introduce	introduce	VERB
ejpam-4280	64	24	the	the	DET
ejpam-4280	64	25	notions	notion	NOUN
ejpam-4280	64	26	of	of	ADP
ejpam-4280	64	27	copulas	copula	NOUN
ejpam-4280	64	28	with	with	ADP
ejpam-4280	64	29	a	a	DET
ejpam-4280	64	30	focus	focus	NOUN
ejpam-4280	64	31	on	on	ADP
ejpam-4280	64	32	bernstein	bernstein	PROPN
ejpam-4280	64	33	ones	one	NOUN
ejpam-4280	64	34	.	.	PUNCT
ejpam-4280	65	1	2.1	2.1	NUM
ejpam-4280	65	2	.	.	PUNCT
ejpam-4280	66	1	an	an	DET
ejpam-4280	66	2	overview	overview	NOUN
ejpam-4280	66	3	of	of	ADP
ejpam-4280	66	4	extreme	extreme	ADJ
ejpam-4280	66	5	conditional	conditional	ADJ
ejpam-4280	66	6	quantiles	quantile	NOUN
ejpam-4280	66	7	.	.	PUNCT
ejpam-4280	67	1	we	we	PRON
ejpam-4280	67	2	suppose	suppose	VERB
ejpam-4280	67	3	in	in	ADP
ejpam-4280	67	4	the	the	DET
ejpam-4280	67	5	remainder	remainder	NOUN
ejpam-4280	67	6	of	of	ADP
ejpam-4280	67	7	this	this	DET
ejpam-4280	67	8	work	work	NOUN
ejpam-4280	67	9	that	that	PRON
ejpam-4280	67	10	fy	fy	PROPN
ejpam-4280	67	11	(	(	PUNCT
ejpam-4280	67	12	•	•	INTJ
ejpam-4280	67	13	|	|	ADV
ejpam-4280	67	14	x	x	X
ejpam-4280	67	15	)	)	PUNCT
ejpam-4280	67	16	belongs	belong	VERB
ejpam-4280	67	17	to	to	ADP
ejpam-4280	67	18	the	the	DET
ejpam-4280	67	19	domain	domain	NOUN
ejpam-4280	67	20	of	of	ADP
ejpam-4280	67	21	attraction	attraction	NOUN
ejpam-4280	67	22	of	of	ADP
ejpam-4280	67	23	a	a	DET
ejpam-4280	67	24	distribution	distribution	NOUN
ejpam-4280	67	25	of	of	ADP
ejpam-4280	67	26	extreme	extreme	ADJ
ejpam-4280	67	27	values	value	NOUN
ejpam-4280	67	28	gγ	gγ	ADP
ejpam-4280	67	29	(	(	PUNCT
ejpam-4280	67	30	γ	γ	X
ejpam-4280	67	31	∈	∈	PROPN
ejpam-4280	67	32	r	r	NOUN
ejpam-4280	67	33	)	)	PUNCT
ejpam-4280	67	34	.	.	PUNCT
ejpam-4280	68	1	let	let	VERB
ejpam-4280	68	2	z1	z1	NUM
ejpam-4280	68	3	;	;	PUNCT
ejpam-4280	68	4	...	...	PUNCT
ejpam-4280	68	5	;	;	PUNCT
ejpam-4280	68	6	zn	zn	X
ejpam-4280	68	7	be	be	AUX
ejpam-4280	68	8	a	a	DET
ejpam-4280	68	9	sample	sample	NOUN
ejpam-4280	68	10	of	of	ADP
ejpam-4280	68	11	random	random	ADJ
ejpam-4280	68	12	variables	variable	NOUN
ejpam-4280	68	13	with	with	ADP
ejpam-4280	68	14	distribution	distribution	NOUN
ejpam-4280	68	15	f	f	NOUN
ejpam-4280	68	16	and	and	CCONJ
ejpam-4280	68	17	let	let	VERB
ejpam-4280	68	18	mn	mn	PROPN
ejpam-4280	68	19	=	=	PRON
ejpam-4280	68	20	max1≤i≤n	max1≤i≤n	PROPN
ejpam-4280	68	21	zi	zi	PROPN
ejpam-4280	68	22	.	.	PUNCT
ejpam-4280	69	1	the	the	DET
ejpam-4280	69	2	law	law	NOUN
ejpam-4280	69	3	of	of	ADP
ejpam-4280	69	4	mn	mn	PROPN
ejpam-4280	69	5	suitably	suitably	ADV
ejpam-4280	69	6	normalised	normalise	VERB
ejpam-4280	69	7	converges	converge	NOUN
ejpam-4280	69	8	to	to	ADP
ejpam-4280	69	9	gγ(x	gγ(x	NOUN
ejpam-4280	69	10	)	)	PUNCT
ejpam-4280	69	11	=	=	SYM
ejpam-4280	69	12	exp	exp	NOUN
ejpam-4280	69	13	{	{	PUNCT
ejpam-4280	69	14	−(1	−(1	NOUN
ejpam-4280	69	15	+	+	CCONJ
ejpam-4280	69	16	γz	γz	NOUN
ejpam-4280	69	17	)	)	PUNCT
ejpam-4280	69	18	−1	−1	NOUN
ejpam-4280	69	19	γ	γ	PROPN
ejpam-4280	69	20	}	}	PUNCT
ejpam-4280	69	21	;	;	PUNCT
ejpam-4280	69	22	(	(	PUNCT
ejpam-4280	69	23	5	5	X
ejpam-4280	69	24	)	)	PUNCT
ejpam-4280	69	25	when	when	SCONJ
ejpam-4280	69	26	n	n	X
ejpam-4280	69	27	→	→	SYM
ejpam-4280	69	28	∞	∞	PROPN
ejpam-4280	69	29	and	and	CCONJ
ejpam-4280	69	30	for	for	ADP
ejpam-4280	69	31	1	1	NUM
ejpam-4280	69	32	+	+	CCONJ
ejpam-4280	69	33	γz	γz	ADP
ejpam-4280	69	34	>	>	X
ejpam-4280	69	35	0	0	PUNCT
ejpam-4280	70	1	according	accord	VERB
ejpam-4280	70	2	to	to	ADP
ejpam-4280	70	3	the	the	DET
ejpam-4280	70	4	fisher	fisher	NOUN
ejpam-4280	70	5	-	-	PUNCT
ejpam-4280	70	6	tippet	tippet	NOUN
ejpam-4280	70	7	-	-	PUNCT
ejpam-4280	70	8	gnedenko	gnedenko	NOUN
ejpam-4280	70	9	theorem	theorem	NOUN
ejpam-4280	70	10	(	(	PUNCT
ejpam-4280	70	11	see	see	VERB
ejpam-4280	70	12	[	[	X
ejpam-4280	70	13	8	8	NUM
ejpam-4280	70	14	]	]	NUM
ejpam-4280	70	15	)	)	PUNCT
ejpam-4280	70	16	,	,	PUNCT
ejpam-4280	70	17	gγ	gγ	AUX
ejpam-4280	70	18	belongs	belong	VERB
ejpam-4280	70	19	to	to	ADP
ejpam-4280	70	20	one	one	NUM
ejpam-4280	70	21	of	of	ADP
ejpam-4280	70	22	the	the	DET
ejpam-4280	70	23	three	three	NUM
ejpam-4280	70	24	following	follow	VERB
ejpam-4280	70	25	types	type	NOUN
ejpam-4280	70	26	of	of	ADP
ejpam-4280	70	27	distributions	distribution	NOUN
ejpam-4280	70	28	:	:	PUNCT
ejpam-4280	70	29	gγ(x	gγ(x	X
ejpam-4280	70	30	)	)	PUNCT
ejpam-4280	71	1	=	=	SYM
ejpam-4280	71	2			NUM
ejpam-4280	71	3	exp	exp	NOUN
ejpam-4280	71	4	[	[	PUNCT
ejpam-4280	71	5	−(x	−(x	NOUN
ejpam-4280	71	6	)	)	PUNCT
ejpam-4280	71	7	−1	−1	NOUN
ejpam-4280	71	8	γ	γ	X
ejpam-4280	71	9	]	]	PUNCT
ejpam-4280	71	10	for	for	ADP
ejpam-4280	71	11	x	x	X
ejpam-4280	71	12	≥	≥	NOUN
ejpam-4280	71	13	0	0	NUM
ejpam-4280	71	14	and	and	CCONJ
ejpam-4280	71	15	γ	γ	X
ejpam-4280	71	16	>	>	X
ejpam-4280	71	17	0	0	PROPN
ejpam-4280	71	18	(	(	PUNCT
ejpam-4280	71	19	fréchet	fréchet	NOUN
ejpam-4280	71	20	model	model	NOUN
ejpam-4280	71	21	)	)	PUNCT
ejpam-4280	71	22	exp	exp	NOUN
ejpam-4280	72	1	[	[	X
ejpam-4280	72	2	−	−	PROPN
ejpam-4280	72	3	exp(−x	exp(−x	PROPN
ejpam-4280	72	4	)	)	PUNCT
ejpam-4280	72	5	]	]	PUNCT
ejpam-4280	73	1	for	for	ADP
ejpam-4280	73	2	x	x	SYM
ejpam-4280	73	3	∈	∈	PROPN
ejpam-4280	73	4	r	r	NOUN
ejpam-4280	73	5	and	and	CCONJ
ejpam-4280	73	6	γ	γ	X
ejpam-4280	73	7	=	=	SYM
ejpam-4280	73	8	0	0	PUNCT
ejpam-4280	73	9	(	(	PUNCT
ejpam-4280	73	10	gumbel	gumbel	PROPN
ejpam-4280	73	11	model	model	PROPN
ejpam-4280	73	12	)	)	PUNCT
ejpam-4280	73	13	exp	exp	NOUN
ejpam-4280	73	14	[	[	PUNCT
ejpam-4280	73	15	−(−x	−(−x	NOUN
ejpam-4280	73	16	)	)	PUNCT
ejpam-4280	73	17	−1	−1	NOUN
ejpam-4280	73	18	γ	γ	X
ejpam-4280	73	19	]	]	PUNCT
ejpam-4280	73	20	for	for	ADP
ejpam-4280	73	21	x	x	X
ejpam-4280	73	22	<	<	X
ejpam-4280	73	23	0	0	X
ejpam-4280	73	24	(	(	PUNCT
ejpam-4280	73	25	weibull	weibull	PROPN
ejpam-4280	73	26	negative	negative	ADJ
ejpam-4280	73	27	model	model	PROPN
ejpam-4280	73	28	)	)	PUNCT
ejpam-4280	73	29	.	.	PUNCT
ejpam-4280	74	1	we	we	PRON
ejpam-4280	74	2	are	be	AUX
ejpam-4280	74	3	particularly	particularly	ADV
ejpam-4280	74	4	interested	interested	ADJ
ejpam-4280	74	5	in	in	ADP
ejpam-4280	74	6	the	the	DET
ejpam-4280	74	7	case	case	NOUN
ejpam-4280	74	8	where	where	SCONJ
ejpam-4280	74	9	γ	γ	X
ejpam-4280	74	10	>	>	X
ejpam-4280	74	11	0	0	NUM
ejpam-4280	74	12	i.e.	i.e.	X
ejpam-4280	74	13	the	the	DET
ejpam-4280	74	14	conditional	conditional	ADJ
ejpam-4280	74	15	distribution	distribution	NOUN
ejpam-4280	74	16	function	function	NOUN
ejpam-4280	74	17	fy	fy	PROPN
ejpam-4280	74	18	(	(	PUNCT
ejpam-4280	74	19	•	•	INTJ
ejpam-4280	74	20	|	|	ADV
ejpam-4280	74	21	x	x	X
ejpam-4280	74	22	)	)	PUNCT
ejpam-4280	74	23	belongs	belong	VERB
ejpam-4280	74	24	to	to	ADP
ejpam-4280	74	25	the	the	DET
ejpam-4280	74	26	fréchet	fréchet	NOUN
ejpam-4280	74	27	attraction	attraction	NOUN
ejpam-4280	74	28	domain	domain	NOUN
ejpam-4280	74	29	.	.	PUNCT
ejpam-4280	75	1	in	in	ADP
ejpam-4280	75	2	this	this	DET
ejpam-4280	75	3	case	case	NOUN
ejpam-4280	75	4	the	the	DET
ejpam-4280	75	5	extreme	extreme	PROPN
ejpam-4280	75	6	k.	k.	PROPN
ejpam-4280	75	7	ouédraogo	ouédraogo	PROPN
ejpam-4280	75	8	,	,	PUNCT
ejpam-4280	75	9	d.	d.	PROPN
ejpam-4280	75	10	barro	barro	PROPN
ejpam-4280	75	11	/	/	SYM
ejpam-4280	75	12	eur	eur	PROPN
ejpam-4280	75	13	.	.	PUNCT
ejpam-4280	76	1	j.	j.	PROPN
ejpam-4280	76	2	pure	pure	PROPN
ejpam-4280	76	3	appl	appl	PROPN
ejpam-4280	76	4	.	.	PROPN
ejpam-4280	76	5	math	math	PROPN
ejpam-4280	76	6	,	,	PUNCT
ejpam-4280	76	7	15	15	NUM
ejpam-4280	76	8	(	(	PUNCT
ejpam-4280	76	9	4	4	NUM
ejpam-4280	76	10	)	)	PUNCT
ejpam-4280	76	11	(	(	PUNCT
ejpam-4280	76	12	2022	2022	NUM
ejpam-4280	76	13	)	)	PUNCT
ejpam-4280	76	14	,	,	PUNCT
ejpam-4280	76	15	2074	2074	NUM
ejpam-4280	76	16	-	-	SYM
ejpam-4280	76	17	2085	2085	NUM
ejpam-4280	76	18	2077	2077	NUM
ejpam-4280	76	19	conditional	conditional	ADJ
ejpam-4280	76	20	quantile	quantile	NOUN
ejpam-4280	76	21	is	be	AUX
ejpam-4280	76	22	defined	define	VERB
ejpam-4280	76	23	by	by	ADP
ejpam-4280	76	24	:	:	PUNCT
ejpam-4280	76	25	qy	qy	NOUN
ejpam-4280	76	26	(	(	PUNCT
ejpam-4280	76	27	αn	αn	INTJ
ejpam-4280	77	1	|	|	ADV
ejpam-4280	77	2	x	x	NOUN
ejpam-4280	77	3	=	=	SYM
ejpam-4280	77	4	x	x	X
ejpam-4280	77	5	)	)	PUNCT
ejpam-4280	77	6	=	=	SYM
ejpam-4280	78	1	(	(	PUNCT
ejpam-4280	78	2	1−	1−	NUM
ejpam-4280	78	3	βn	βn	NOUN
ejpam-4280	78	4	1−	1−	NUM
ejpam-4280	78	5	αn	αn	NOUN
ejpam-4280	78	6	)	)	PUNCT
ejpam-4280	78	7	γ(x	γ(x	NOUN
ejpam-4280	78	8	)	)	PUNCT
ejpam-4280	78	9	qy	qy	NOUN
ejpam-4280	78	10	(	(	PUNCT
ejpam-4280	78	11	βn	βn	NOUN
ejpam-4280	78	12	|	|	ADV
ejpam-4280	78	13	x	x	NOUN
ejpam-4280	78	14	)	)	PUNCT
ejpam-4280	78	15	;	;	PUNCT
ejpam-4280	78	16	(	(	PUNCT
ejpam-4280	78	17	6	6	NUM
ejpam-4280	78	18	)	)	PUNCT
ejpam-4280	78	19	with	with	ADP
ejpam-4280	78	20	βn	βn	NOUN
ejpam-4280	78	21	such	such	ADJ
ejpam-4280	78	22	that	that	DET
ejpam-4280	78	23	βn	βn	NOUN
ejpam-4280	78	24	→	→	SYM
ejpam-4280	78	25	1	1	NUM
ejpam-4280	78	26	and	and	CCONJ
ejpam-4280	78	27	n(1−	n(1−	ADJ
ejpam-4280	78	28	βn	βn	NOUN
ejpam-4280	78	29	)	)	PUNCT
ejpam-4280	78	30	→	→	SYM
ejpam-4280	78	31	0	0	NUM
ejpam-4280	78	32	when	when	SCONJ
ejpam-4280	78	33	n	n	X
ejpam-4280	78	34	→	→	SYM
ejpam-4280	78	35	∞	∞	PROPN
ejpam-4280	78	36	and	and	CCONJ
ejpam-4280	78	37	the	the	DET
ejpam-4280	78	38	index	index	NOUN
ejpam-4280	78	39	of	of	ADP
ejpam-4280	78	40	extreme	extreme	ADJ
ejpam-4280	78	41	values	value	NOUN
ejpam-4280	78	42	γ	γ	X
ejpam-4280	78	43	depends	depend	VERB
ejpam-4280	78	44	on	on	ADP
ejpam-4280	78	45	the	the	DET
ejpam-4280	78	46	covariate	covariate	ADJ
ejpam-4280	78	47	x.	x.	NOUN
ejpam-4280	78	48	2.2	2.2	NUM
ejpam-4280	78	49	.	.	PUNCT
ejpam-4280	79	1	on	on	ADP
ejpam-4280	79	2	the	the	DET
ejpam-4280	79	3	concept	concept	NOUN
ejpam-4280	79	4	of	of	ADP
ejpam-4280	79	5	bernstein	bernstein	PROPN
ejpam-4280	79	6	copulas	copula	VERB
ejpam-4280	79	7	the	the	DET
ejpam-4280	79	8	use	use	NOUN
ejpam-4280	79	9	of	of	ADP
ejpam-4280	79	10	bernstein	bernstein	PROPN
ejpam-4280	79	11	copulas	copula	NOUN
ejpam-4280	79	12	in	in	ADP
ejpam-4280	79	13	our	our	PRON
ejpam-4280	79	14	estimation	estimation	NOUN
ejpam-4280	79	15	have	have	VERB
ejpam-4280	79	16	many	many	ADJ
ejpam-4280	79	17	reasons	reason	NOUN
ejpam-4280	79	18	.	.	PUNCT
ejpam-4280	80	1	:	:	PUNCT
ejpam-4280	80	2	•	•	X
ejpam-4280	80	3	firstly	firstly	ADV
ejpam-4280	80	4	,	,	PUNCT
ejpam-4280	80	5	it	it	PRON
ejpam-4280	80	6	can	can	AUX
ejpam-4280	80	7	approximate	approximate	VERB
ejpam-4280	80	8	any	any	DET
ejpam-4280	80	9	behavior	behavior	NOUN
ejpam-4280	80	10	in	in	ADP
ejpam-4280	80	11	the	the	DET
ejpam-4280	80	12	tail	tail	NOUN
ejpam-4280	80	13	,	,	PUNCT
ejpam-4280	80	14	and	and	CCONJ
ejpam-4280	80	15	it	it	PRON
ejpam-4280	80	16	recently	recently	ADV
ejpam-4280	80	17	has	have	AUX
ejpam-4280	80	18	attracted	attract	VERB
ejpam-4280	80	19	attention	attention	NOUN
ejpam-4280	80	20	in	in	ADP
ejpam-4280	80	21	insurance	insurance	NOUN
ejpam-4280	80	22	modeling	modeling	NOUN
ejpam-4280	80	23	and	and	CCONJ
ejpam-4280	80	24	is	be	AUX
ejpam-4280	80	25	thus	thus	ADV
ejpam-4280	80	26	a	a	DET
ejpam-4280	80	27	natural	natural	ADJ
ejpam-4280	80	28	candidate	candidate	NOUN
ejpam-4280	80	29	for	for	ADP
ejpam-4280	80	30	further	further	ADJ
ejpam-4280	80	31	analysis	analysis	NOUN
ejpam-4280	80	32	.	.	PUNCT
ejpam-4280	81	1	the	the	DET
ejpam-4280	81	2	bernstein	bernstein	PROPN
ejpam-4280	81	3	copulas	copula	NOUN
ejpam-4280	81	4	are	be	AUX
ejpam-4280	81	5	therefore	therefore	ADV
ejpam-4280	81	6	relevant	relevant	ADJ
ejpam-4280	81	7	for	for	ADP
ejpam-4280	81	8	the	the	DET
ejpam-4280	81	9	estimation	estimation	NOUN
ejpam-4280	81	10	of	of	ADP
ejpam-4280	81	11	the	the	DET
ejpam-4280	81	12	covar	covar	NOUN
ejpam-4280	81	13	.	.	PUNCT
ejpam-4280	82	1	•	•	NOUN
ejpam-4280	82	2	secondly	secondly	ADV
ejpam-4280	82	3	,	,	PUNCT
ejpam-4280	82	4	the	the	DET
ejpam-4280	82	5	bernstein	bernstein	PROPN
ejpam-4280	82	6	copula	copula	PROPN
ejpam-4280	82	7	is	be	AUX
ejpam-4280	82	8	attractive	attractive	ADJ
ejpam-4280	82	9	from	from	ADP
ejpam-4280	82	10	a	a	DET
ejpam-4280	82	11	modeling	modeling	NOUN
ejpam-4280	82	12	perspective	perspective	NOUN
ejpam-4280	82	13	.	.	PUNCT
ejpam-4280	83	1	•	•	NUM
ejpam-4280	83	2	thirdly	thirdly	ADV
ejpam-4280	83	3	,	,	PUNCT
ejpam-4280	83	4	the	the	DET
ejpam-4280	83	5	bernstein	bernstein	PROPN
ejpam-4280	83	6	copula	copula	PROPN
ejpam-4280	83	7	is	be	AUX
ejpam-4280	83	8	also	also	ADV
ejpam-4280	83	9	suitable	suitable	ADJ
ejpam-4280	83	10	in	in	ADP
ejpam-4280	83	11	higher	high	ADJ
ejpam-4280	83	12	dimensions	dimension	NOUN
ejpam-4280	83	13	,	,	PUNCT
ejpam-4280	83	14	which	which	PRON
ejpam-4280	83	15	is	be	AUX
ejpam-4280	83	16	a	a	DET
ejpam-4280	83	17	major	major	ADJ
ejpam-4280	83	18	advantage	advantage	NOUN
ejpam-4280	83	19	compared	compare	VERB
ejpam-4280	83	20	to	to	ADP
ejpam-4280	83	21	other	other	ADJ
ejpam-4280	83	22	parametric	parametric	ADJ
ejpam-4280	83	23	and	and	CCONJ
ejpam-4280	83	24	non	non	ADJ
ejpam-4280	83	25	-	-	ADJ
ejpam-4280	83	26	parametric	parametric	ADJ
ejpam-4280	83	27	estimators	estimator	NOUN
ejpam-4280	83	28	.	.	PUNCT
ejpam-4280	84	1	•	•	NOUN
ejpam-4280	84	2	fourthly	fourthly	ADV
ejpam-4280	84	3	,	,	PUNCT
ejpam-4280	84	4	its	its	PRON
ejpam-4280	84	5	mathematical	mathematical	ADJ
ejpam-4280	84	6	properties	property	NOUN
ejpam-4280	84	7	are	be	AUX
ejpam-4280	84	8	interesting	interesting	ADJ
ejpam-4280	84	9	as	as	SCONJ
ejpam-4280	84	10	the	the	DET
ejpam-4280	84	11	bernstein	bernstein	PROPN
ejpam-4280	84	12	estimator	estimator	PROPN
ejpam-4280	84	13	converges	converge	VERB
ejpam-4280	84	14	to	to	ADP
ejpam-4280	84	15	the	the	DET
ejpam-4280	84	16	underlying	underlying	ADJ
ejpam-4280	84	17	dependence	dependence	NOUN
ejpam-4280	84	18	structure	structure	NOUN
ejpam-4280	84	19	,	,	PUNCT
ejpam-4280	84	20	provides	provide	VERB
ejpam-4280	84	21	a	a	DET
ejpam-4280	84	22	higher	high	ADJ
ejpam-4280	84	23	rate	rate	NOUN
ejpam-4280	84	24	of	of	ADP
ejpam-4280	84	25	consistency	consistency	NOUN
ejpam-4280	84	26	than	than	ADP
ejpam-4280	84	27	other	other	ADJ
ejpam-4280	84	28	common	common	ADJ
ejpam-4280	84	29	nonparametric	nonparametric	NOUN
ejpam-4280	84	30	estimators	estimator	NOUN
ejpam-4280	84	31	[	[	X
ejpam-4280	84	32	22	22	NUM
ejpam-4280	84	33	]	]	PUNCT
ejpam-4280	84	34	.	.	PUNCT
ejpam-4280	85	1	in	in	ADP
ejpam-4280	85	2	what	what	PRON
ejpam-4280	85	3	follows	follow	VERB
ejpam-4280	85	4	,	,	PUNCT
ejpam-4280	85	5	we	we	PRON
ejpam-4280	85	6	first	first	ADV
ejpam-4280	85	7	deal	deal	VERB
ejpam-4280	85	8	with	with	ADP
ejpam-4280	85	9	some	some	DET
ejpam-4280	85	10	important	important	ADJ
ejpam-4280	85	11	result	result	NOUN
ejpam-4280	85	12	on	on	ADP
ejpam-4280	85	13	copulas	copula	NOUN
ejpam-4280	85	14	,	,	PUNCT
ejpam-4280	85	15	the	the	DET
ejpam-4280	85	16	notion	notion	NOUN
ejpam-4280	85	17	of	of	ADP
ejpam-4280	85	18	bernstein	bernstein	PROPN
ejpam-4280	85	19	copulas	copulas	PROPN
ejpam-4280	85	20	and	and	CCONJ
ejpam-4280	85	21	the	the	DET
ejpam-4280	85	22	relationship	relationship	NOUN
ejpam-4280	85	23	between	between	ADP
ejpam-4280	85	24	the	the	DET
ejpam-4280	85	25	conditional	conditional	ADJ
ejpam-4280	85	26	distribution	distribution	NOUN
ejpam-4280	85	27	function	function	NOUN
ejpam-4280	85	28	and	and	CCONJ
ejpam-4280	85	29	copulas	copula	NOUN
ejpam-4280	85	30	.	.	PUNCT
ejpam-4280	86	1	consider	consider	VERB
ejpam-4280	86	2	(	(	PUNCT
ejpam-4280	86	3	y	y	NOUN
ejpam-4280	86	4	,	,	PUNCT
ejpam-4280	86	5	x	x	NOUN
ejpam-4280	86	6	)	)	PUNCT
ejpam-4280	86	7	a	a	DET
ejpam-4280	86	8	pair	pair	NOUN
ejpam-4280	86	9	of	of	ADP
ejpam-4280	86	10	random	random	ADJ
ejpam-4280	86	11	variables	variable	NOUN
ejpam-4280	86	12	with	with	ADP
ejpam-4280	86	13	marginal	marginal	ADJ
ejpam-4280	86	14	distribution	distribution	NOUN
ejpam-4280	86	15	functions	function	NOUN
ejpam-4280	86	16	f0	f0	PROPN
ejpam-4280	86	17	and	and	CCONJ
ejpam-4280	86	18	f	f	PROPN
ejpam-4280	86	19	and	and	CCONJ
ejpam-4280	86	20	joint	joint	ADJ
ejpam-4280	86	21	distribution	distribution	NOUN
ejpam-4280	86	22	function	function	NOUN
ejpam-4280	86	23	h.	h.	NOUN
ejpam-4280	86	24	according	accord	VERB
ejpam-4280	86	25	to	to	ADP
ejpam-4280	86	26	relation	relation	NOUN
ejpam-4280	86	27	(	(	PUNCT
ejpam-4280	86	28	3	3	NUM
ejpam-4280	86	29	)	)	PUNCT
ejpam-4280	86	30	if	if	SCONJ
ejpam-4280	86	31	f0	f0	PROPN
ejpam-4280	86	32	and	and	CCONJ
ejpam-4280	86	33	f	f	PROPN
ejpam-4280	86	34	are	be	AUX
ejpam-4280	86	35	continuous	continuous	ADJ
ejpam-4280	86	36	,	,	PUNCT
ejpam-4280	86	37	then	then	ADV
ejpam-4280	86	38	c	c	PROPN
ejpam-4280	86	39	is	be	AUX
ejpam-4280	86	40	unique	unique	ADJ
ejpam-4280	86	41	and	and	CCONJ
ejpam-4280	86	42	we	we	PRON
ejpam-4280	86	43	have	have	VERB
ejpam-4280	86	44	c(u	c(u	PROPN
ejpam-4280	86	45	,	,	PUNCT
ejpam-4280	86	46	v	v	NOUN
ejpam-4280	86	47	)	)	PUNCT
ejpam-4280	87	1	=	=	SYM
ejpam-4280	87	2	h(f−1	h(f−1	NOUN
ejpam-4280	87	3	0	0	NUM
ejpam-4280	87	4	(	(	PUNCT
ejpam-4280	87	5	u	u	NOUN
ejpam-4280	87	6	)	)	PUNCT
ejpam-4280	87	7	,	,	PUNCT
ejpam-4280	87	8	f−1(v	f−1(v	PROPN
ejpam-4280	87	9	)	)	PUNCT
ejpam-4280	87	10	)	)	PUNCT
ejpam-4280	87	11	.	.	PUNCT
ejpam-4280	88	1	given	give	VERB
ejpam-4280	88	2	a	a	DET
ejpam-4280	88	3	sample	sample	NOUN
ejpam-4280	88	4	of	of	ADP
ejpam-4280	88	5	random	random	ADJ
ejpam-4280	88	6	variables	variable	NOUN
ejpam-4280	88	7	(	(	PUNCT
ejpam-4280	88	8	y1	y1	INTJ
ejpam-4280	88	9	,	,	PUNCT
ejpam-4280	88	10	x1	x1	PROPN
ejpam-4280	88	11	)	)	PUNCT
ejpam-4280	88	12	,	,	PUNCT
ejpam-4280	88	13	...	...	PUNCT
ejpam-4280	88	14	,	,	PUNCT
ejpam-4280	88	15	(	(	PUNCT
ejpam-4280	88	16	yn	yn	INTJ
ejpam-4280	88	17	,	,	PUNCT
ejpam-4280	88	18	xn	xn	PROPN
ejpam-4280	88	19	)	)	PUNCT
ejpam-4280	88	20	,	,	PUNCT
ejpam-4280	88	21	the	the	DET
ejpam-4280	88	22	empirical	empirical	ADJ
ejpam-4280	88	23	estimator	estimator	NOUN
ejpam-4280	88	24	of	of	ADP
ejpam-4280	88	25	the	the	DET
ejpam-4280	88	26	copula	copula	NOUN
ejpam-4280	88	27	c	c	NOUN
ejpam-4280	88	28	is	be	AUX
ejpam-4280	88	29	defined	define	VERB
ejpam-4280	88	30	by	by	ADP
ejpam-4280	88	31	,	,	PUNCT
ejpam-4280	88	32	for	for	ADP
ejpam-4280	88	33	all	all	DET
ejpam-4280	88	34	u	u	NOUN
ejpam-4280	88	35	,	,	PUNCT
ejpam-4280	88	36	v	v	NOUN
ejpam-4280	88	37	∈	∈	PROPN
ejpam-4280	89	1	[	[	X
ejpam-4280	89	2	0	0	NUM
ejpam-4280	89	3	,	,	PUNCT
ejpam-4280	89	4	1	1	NUM
ejpam-4280	89	5	]	]	PUNCT
ejpam-4280	89	6	by	by	ADP
ejpam-4280	89	7	cn(u	cn(u	NOUN
ejpam-4280	89	8	,	,	PUNCT
ejpam-4280	89	9	v	v	NOUN
ejpam-4280	89	10	)	)	PUNCT
ejpam-4280	89	11	=	=	PRON
ejpam-4280	89	12	hn(f	hn(f	NUM
ejpam-4280	89	13	−1	−1	NOUN
ejpam-4280	89	14	0n	0n	NOUN
ejpam-4280	89	15	(	(	PUNCT
ejpam-4280	89	16	u	u	NOUN
ejpam-4280	89	17	)	)	PUNCT
ejpam-4280	89	18	,	,	PUNCT
ejpam-4280	89	19	f−1	f−1	PROPN
ejpam-4280	89	20	n	n	CCONJ
ejpam-4280	89	21	(	(	PUNCT
ejpam-4280	89	22	v	v	NOUN
ejpam-4280	89	23	)	)	PUNCT
ejpam-4280	89	24	)	)	PUNCT
ejpam-4280	89	25	with	with	ADP
ejpam-4280	89	26	hn(x	hn(x	ADP
ejpam-4280	89	27	,	,	PUNCT
ejpam-4280	89	28	y	y	NOUN
ejpam-4280	89	29	)	)	PUNCT
ejpam-4280	89	30	=	=	SYM
ejpam-4280	90	1	n−1	n−1	PROPN
ejpam-4280	90	2	n∑	n∑	PROPN
ejpam-4280	90	3	i=1	i=1	PROPN
ejpam-4280	91	1	i(xi	i(xi	PROPN
ejpam-4280	91	2	≤	≤	NUM
ejpam-4280	91	3	x	x	PUNCT
ejpam-4280	91	4	,	,	PUNCT
ejpam-4280	91	5	yi	yi	PROPN
ejpam-4280	91	6	≤	≤	PROPN
ejpam-4280	91	7	y	y	PROPN
ejpam-4280	91	8	)	)	PUNCT
ejpam-4280	91	9	;	;	PUNCT
ejpam-4280	91	10	fn(x	fn(x	X
ejpam-4280	91	11	)	)	PUNCT
ejpam-4280	91	12	=	=	SYM
ejpam-4280	91	13	hn(x,∞	hn(x,∞	PROPN
ejpam-4280	91	14	)	)	PUNCT
ejpam-4280	92	1	=	=	SYM
ejpam-4280	93	1	n−1	n−1	PROPN
ejpam-4280	93	2	n∑	n∑	PROPN
ejpam-4280	93	3	i=1	i=1	PROPN
ejpam-4280	94	1	i(xi	i(xi	PROPN
ejpam-4280	94	2	≤	≤	NUM
ejpam-4280	94	3	x	x	X
ejpam-4280	94	4	)	)	PUNCT
ejpam-4280	94	5	;	;	PUNCT
ejpam-4280	94	6	and	and	CCONJ
ejpam-4280	94	7	f0n(y	f0n(y	PROPN
ejpam-4280	94	8	)	)	PUNCT
ejpam-4280	94	9	=	=	PUNCT
ejpam-4280	95	1	hn(∞	hn(∞	PROPN
ejpam-4280	95	2	,	,	PUNCT
ejpam-4280	95	3	y	y	NOUN
ejpam-4280	95	4	)	)	PUNCT
ejpam-4280	95	5	=	=	SYM
ejpam-4280	96	1	n−1	n−1	PROPN
ejpam-4280	96	2	n∑	n∑	PROPN
ejpam-4280	96	3	i=1	i=1	PRON
ejpam-4280	96	4	i(yi	i(yi	ADV
ejpam-4280	96	5	≤	≤	PROPN
ejpam-4280	96	6	y	y	NOUN
ejpam-4280	96	7	)	)	PUNCT
ejpam-4280	96	8	.	.	PUNCT
ejpam-4280	97	1	k.	k.	PROPN
ejpam-4280	97	2	ouédraogo	ouédraogo	PROPN
ejpam-4280	97	3	,	,	PUNCT
ejpam-4280	97	4	d.	d.	PROPN
ejpam-4280	97	5	barro	barro	PROPN
ejpam-4280	97	6	/	/	SYM
ejpam-4280	97	7	eur	eur	PROPN
ejpam-4280	97	8	.	.	PUNCT
ejpam-4280	98	1	j.	j.	PROPN
ejpam-4280	98	2	pure	pure	PROPN
ejpam-4280	98	3	appl	appl	PROPN
ejpam-4280	98	4	.	.	PROPN
ejpam-4280	98	5	math	math	PROPN
ejpam-4280	98	6	,	,	PUNCT
ejpam-4280	98	7	15	15	NUM
ejpam-4280	98	8	(	(	PUNCT
ejpam-4280	98	9	4	4	NUM
ejpam-4280	98	10	)	)	PUNCT
ejpam-4280	98	11	(	(	PUNCT
ejpam-4280	98	12	2022	2022	NUM
ejpam-4280	98	13	)	)	PUNCT
ejpam-4280	98	14	,	,	PUNCT
ejpam-4280	98	15	2074	2074	NUM
ejpam-4280	98	16	-	-	SYM
ejpam-4280	98	17	2085	2085	NUM
ejpam-4280	98	18	2078	2078	NUM
ejpam-4280	98	19	while	while	SCONJ
ejpam-4280	98	20	modeling	model	VERB
ejpam-4280	98	21	insurance	insurance	NOUN
ejpam-4280	98	22	tools	tool	NOUN
ejpam-4280	98	23	,	,	PUNCT
ejpam-4280	98	24	sancetta	sancetta	NOUN
ejpam-4280	98	25	&	&	CCONJ
ejpam-4280	98	26	satchelle	satchelle	NOUN
ejpam-4280	98	27	[	[	X
ejpam-4280	98	28	18	18	NUM
ejpam-4280	98	29	]	]	PUNCT
ejpam-4280	98	30	proposed	propose	VERB
ejpam-4280	98	31	the	the	DET
ejpam-4280	98	32	bernstein	bernstein	PROPN
ejpam-4280	98	33	copula	copula	PROPN
ejpam-4280	98	34	function	function	NOUN
ejpam-4280	98	35	defined	define	VERB
ejpam-4280	98	36	below	below	ADP
ejpam-4280	98	37	as	as	ADP
ejpam-4280	98	38	an	an	DET
ejpam-4280	98	39	estimator	estimator	NOUN
ejpam-4280	98	40	of	of	ADP
ejpam-4280	98	41	the	the	DET
ejpam-4280	98	42	copula	copula	PROPN
ejpam-4280	98	43	c	c	PROPN
ejpam-4280	98	44	bp(u	bp(u	X
ejpam-4280	98	45	,	,	PUNCT
ejpam-4280	98	46	v	v	NOUN
ejpam-4280	98	47	)	)	PUNCT
ejpam-4280	98	48	=	=	PUNCT
ejpam-4280	98	49	p∑	p∑	X
ejpam-4280	98	50	k=0	k=0	PUNCT
ejpam-4280	98	51	p∑	p∑	X
ejpam-4280	99	1	l=0	l=0	PROPN
ejpam-4280	99	2	c	c	PROPN
ejpam-4280	100	1	(	(	PUNCT
ejpam-4280	100	2	k	k	PROPN
ejpam-4280	100	3	p	p	NOUN
ejpam-4280	100	4	,	,	PUNCT
ejpam-4280	100	5	l	l	PROPN
ejpam-4280	100	6	p	p	NOUN
ejpam-4280	100	7	)	)	PUNCT
ejpam-4280	100	8	b(p	b(p	PROPN
ejpam-4280	100	9	,	,	PUNCT
ejpam-4280	100	10	k	k	PROPN
ejpam-4280	100	11	,	,	PUNCT
ejpam-4280	100	12	u)b(p	u)b(p	ADJ
ejpam-4280	100	13	,	,	PUNCT
ejpam-4280	100	14	l	l	NOUN
ejpam-4280	100	15	,	,	PUNCT
ejpam-4280	100	16	v	v	NOUN
ejpam-4280	100	17	)	)	PUNCT
ejpam-4280	100	18	(	(	PUNCT
ejpam-4280	100	19	7	7	X
ejpam-4280	100	20	)	)	PUNCT
ejpam-4280	100	21	where	where	SCONJ
ejpam-4280	100	22	b(p	b(p	PROPN
ejpam-4280	100	23	,	,	PUNCT
ejpam-4280	100	24	k	k	NOUN
ejpam-4280	100	25	,	,	PUNCT
ejpam-4280	100	26	u	u	NOUN
ejpam-4280	100	27	)	)	PUNCT
ejpam-4280	100	28	=	=	SYM
ejpam-4280	101	1	ck	ck	PROPN
ejpam-4280	101	2	pu	pu	PROPN
ejpam-4280	101	3	k(1−u)p−k	k(1−u)p−k	NOUN
ejpam-4280	101	4	is	be	AUX
ejpam-4280	101	5	a	a	DET
ejpam-4280	101	6	binomial	binomial	ADJ
ejpam-4280	101	7	probability	probability	NOUN
ejpam-4280	101	8	called	call	VERB
ejpam-4280	101	9	beirnstein	beirnstein	PROPN
ejpam-4280	101	10	’s	’s	PART
ejpam-4280	101	11	polynomial	polynomial	ADJ
ejpam-4280	101	12	.	.	PUNCT
ejpam-4280	102	1	note	note	VERB
ejpam-4280	102	2	that	that	SCONJ
ejpam-4280	102	3	limp→∞bp(u	limp→∞bp(u	NOUN
ejpam-4280	102	4	,	,	PUNCT
ejpam-4280	102	5	v	v	NOUN
ejpam-4280	102	6	)	)	PUNCT
ejpam-4280	102	7	=	=	SYM
ejpam-4280	103	1	c(u	c(u	PROPN
ejpam-4280	103	2	,	,	PUNCT
ejpam-4280	103	3	v	v	NOUN
ejpam-4280	103	4	)	)	PUNCT
ejpam-4280	103	5	is	be	AUX
ejpam-4280	103	6	uniform	uniform	ADJ
ejpam-4280	103	7	over	over	ADP
ejpam-4280	103	8	[	[	X
ejpam-4280	103	9	0	0	NUM
ejpam-4280	103	10	,	,	PUNCT
ejpam-4280	103	11	1]2	1]2	NUM
ejpam-4280	103	12	since	since	SCONJ
ejpam-4280	103	13	c	c	PROPN
ejpam-4280	103	14	is	be	AUX
ejpam-4280	103	15	continuous	continuous	ADJ
ejpam-4280	103	16	over	over	ADP
ejpam-4280	103	17	[	[	X
ejpam-4280	103	18	0	0	NUM
ejpam-4280	103	19	,	,	PUNCT
ejpam-4280	103	20	1]2	1]2	NUM
ejpam-4280	103	21	.	.	PUNCT
ejpam-4280	104	1	however	however	ADV
ejpam-4280	104	2	,	,	PUNCT
ejpam-4280	104	3	this	this	DET
ejpam-4280	104	4	estimator	estimator	NOUN
ejpam-4280	104	5	depends	depend	VERB
ejpam-4280	104	6	on	on	ADP
ejpam-4280	104	7	the	the	DET
ejpam-4280	104	8	copula	copula	NOUN
ejpam-4280	104	9	c	c	PROPN
ejpam-4280	104	10	which	which	PRON
ejpam-4280	104	11	is	be	AUX
ejpam-4280	104	12	always	always	ADV
ejpam-4280	104	13	unknown	unknown	ADJ
ejpam-4280	104	14	.	.	PUNCT
ejpam-4280	105	1	they	they	PRON
ejpam-4280	105	2	thus	thus	ADV
ejpam-4280	105	3	proposed	propose	VERB
ejpam-4280	105	4	in	in	ADP
ejpam-4280	105	5	the	the	DET
ejpam-4280	105	6	above	above	ADJ
ejpam-4280	105	7	estimator	estimator	NOUN
ejpam-4280	105	8	to	to	PART
ejpam-4280	105	9	replace	replace	VERB
ejpam-4280	105	10	the	the	DET
ejpam-4280	105	11	copula	copula	NOUN
ejpam-4280	105	12	c	c	NOUN
ejpam-4280	105	13	by	by	ADP
ejpam-4280	105	14	its	its	PRON
ejpam-4280	105	15	empirical	empirical	ADJ
ejpam-4280	105	16	estimator	estimator	NOUN
ejpam-4280	105	17	cn	cn	PROPN
ejpam-4280	106	1	[	[	X
ejpam-4280	106	2	18	18	NUM
ejpam-4280	106	3	]	]	PUNCT
ejpam-4280	106	4	.	.	PUNCT
ejpam-4280	107	1	this	this	DET
ejpam-4280	107	2	estimator	estimator	NOUN
ejpam-4280	107	3	is	be	AUX
ejpam-4280	107	4	given	give	VERB
ejpam-4280	107	5	by	by	ADP
ejpam-4280	107	6	cp	cp	PROPN
ejpam-4280	107	7	,	,	PUNCT
ejpam-4280	107	8	n(u	n(u	PROPN
ejpam-4280	107	9	,	,	PUNCT
ejpam-4280	107	10	v	v	NOUN
ejpam-4280	107	11	)	)	PUNCT
ejpam-4280	107	12	=	=	PUNCT
ejpam-4280	107	13	p∑	p∑	X
ejpam-4280	107	14	k=0	k=0	PROPN
ejpam-4280	108	1	p∑	p∑	X
ejpam-4280	109	1	l=0	l=0	PROPN
ejpam-4280	109	2	cn	cn	PROPN
ejpam-4280	109	3	(	(	PUNCT
ejpam-4280	109	4	k	k	PROPN
ejpam-4280	109	5	p	p	PROPN
ejpam-4280	109	6	,	,	PUNCT
ejpam-4280	109	7	l	l	PROPN
ejpam-4280	109	8	p	p	NOUN
ejpam-4280	109	9	)	)	PUNCT
ejpam-4280	110	1	b(p	b(p	PROPN
ejpam-4280	110	2	,	,	PUNCT
ejpam-4280	110	3	k	k	PROPN
ejpam-4280	110	4	,	,	PUNCT
ejpam-4280	110	5	u)b(p	u)b(p	ADJ
ejpam-4280	110	6	,	,	PUNCT
ejpam-4280	110	7	l	l	NOUN
ejpam-4280	110	8	,	,	PUNCT
ejpam-4280	110	9	v	v	NOUN
ejpam-4280	110	10	)	)	PUNCT
ejpam-4280	110	11	.	.	PUNCT
ejpam-4280	111	1	(	(	PUNCT
ejpam-4280	111	2	8)	8)	NUM
ejpam-4280	111	3	in	in	ADP
ejpam-4280	111	4	the	the	DET
ejpam-4280	111	5	same	same	ADJ
ejpam-4280	111	6	vein	vein	NOUN
ejpam-4280	111	7	,	,	PUNCT
ejpam-4280	111	8	in	in	ADP
ejpam-4280	111	9	the	the	DET
ejpam-4280	111	10	following	follow	VERB
ejpam-4280	111	11	paper	paper	NOUN
ejpam-4280	111	12	[	[	X
ejpam-4280	111	13	19	19	NUM
ejpam-4280	111	14	]	]	X
ejpam-4280	111	15	it	it	PRON
ejpam-4280	111	16	has	have	AUX
ejpam-4280	111	17	been	be	AUX
ejpam-4280	111	18	showed	show	VERB
ejpam-4280	111	19	that	that	SCONJ
ejpam-4280	111	20	the	the	DET
ejpam-4280	111	21	almost	almost	ADV
ejpam-4280	111	22	certain	certain	ADJ
ejpam-4280	111	23	convergence	convergence	NOUN
ejpam-4280	111	24	and	and	CCONJ
ejpam-4280	111	25	the	the	DET
ejpam-4280	111	26	asymptotic	asymptotic	ADJ
ejpam-4280	111	27	normality	normality	NOUN
ejpam-4280	111	28	of	of	ADP
ejpam-4280	111	29	this	this	DET
ejpam-4280	111	30	estimator	estimator	NOUN
ejpam-4280	111	31	,	,	PUNCT
ejpam-4280	111	32	see	see	VERB
ejpam-4280	111	33	[	[	X
ejpam-4280	111	34	22	22	NUM
ejpam-4280	111	35	]	]	PUNCT
ejpam-4280	111	36	and	and	CCONJ
ejpam-4280	111	37	[	[	X
ejpam-4280	111	38	23	23	NUM
ejpam-4280	111	39	]	]	PUNCT
ejpam-4280	111	40	.	.	PUNCT
ejpam-4280	112	1	2.2.1	2.2.1	NUM
ejpam-4280	112	2	.	.	PUNCT
ejpam-4280	113	1	copulas	copula	NOUN
ejpam-4280	113	2	and	and	CCONJ
ejpam-4280	113	3	conditional	conditional	ADJ
ejpam-4280	113	4	distribution	distribution	NOUN
ejpam-4280	113	5	function	function	VERB
ejpam-4280	113	6	the	the	DET
ejpam-4280	113	7	conditional	conditional	ADJ
ejpam-4280	113	8	quantile	quantile	NOUN
ejpam-4280	113	9	estimation	estimation	NOUN
ejpam-4280	113	10	based	base	VERB
ejpam-4280	113	11	on	on	ADP
ejpam-4280	113	12	copulas	copula	NOUN
ejpam-4280	113	13	is	be	AUX
ejpam-4280	113	14	based	base	VERB
ejpam-4280	113	15	on	on	ADP
ejpam-4280	113	16	quantile	quantile	ADJ
ejpam-4280	113	17	regression	regression	NOUN
ejpam-4280	113	18	and	and	CCONJ
ejpam-4280	113	19	the	the	DET
ejpam-4280	113	20	asymptotic	asymptotic	ADJ
ejpam-4280	113	21	distribution	distribution	NOUN
ejpam-4280	113	22	of	of	ADP
ejpam-4280	113	23	this	this	DET
ejpam-4280	113	24	estimator	estimator	NOUN
ejpam-4280	113	25	has	have	AUX
ejpam-4280	113	26	been	be	AUX
ejpam-4280	113	27	proven	prove	VERB
ejpam-4280	113	28	to	to	PART
ejpam-4280	113	29	be	be	AUX
ejpam-4280	113	30	gaussian	gaussian	ADJ
ejpam-4280	113	31	(	(	PUNCT
ejpam-4280	113	32	see	see	VERB
ejpam-4280	113	33	noh	noh	PROPN
ejpam-4280	113	34	et	et	PROPN
ejpam-4280	113	35	al	al	PROPN
ejpam-4280	114	1	[	[	X
ejpam-4280	114	2	5	5	NUM
ejpam-4280	114	3	]	]	PUNCT
ejpam-4280	114	4	)	)	PUNCT
ejpam-4280	114	5	.	.	PUNCT
ejpam-4280	115	1	authors	author	NOUN
ejpam-4280	115	2	such	such	ADJ
ejpam-4280	115	3	as	as	ADP
ejpam-4280	115	4	kraus	kraus	PROPN
ejpam-4280	115	5	and	and	CCONJ
ejpam-4280	115	6	czado	czado	NOUN
ejpam-4280	115	7	[	[	X
ejpam-4280	115	8	20	20	NUM
ejpam-4280	115	9	]	]	PUNCT
ejpam-4280	115	10	,	,	PUNCT
ejpam-4280	115	11	nasri	nasri	PROPN
ejpam-4280	115	12	and	and	CCONJ
ejpam-4280	115	13	bouezmarni	bouezmarni	NOUN
ejpam-4280	115	14	[	[	X
ejpam-4280	115	15	21	21	NUM
ejpam-4280	115	16	]	]	PUNCT
ejpam-4280	115	17	have	have	AUX
ejpam-4280	115	18	used	use	VERB
ejpam-4280	115	19	copulas	copula	NOUN
ejpam-4280	115	20	based	base	VERB
ejpam-4280	115	21	on	on	ADP
ejpam-4280	115	22	the	the	DET
ejpam-4280	115	23	plug	plug	VERB
ejpam-4280	115	24	-	-	PUNCT
ejpam-4280	115	25	in	in	ADP
ejpam-4280	115	26	method	method	NOUN
ejpam-4280	115	27	.	.	PUNCT
ejpam-4280	116	1	more	more	ADV
ejpam-4280	116	2	recently	recently	ADV
ejpam-4280	116	3	,	,	PUNCT
ejpam-4280	116	4	remillard	remillard	PROPN
ejpam-4280	116	5	,	,	PUNCT
ejpam-4280	116	6	nasri	nasri	PROPN
ejpam-4280	116	7	and	and	CCONJ
ejpam-4280	116	8	bouezmarni	bouezmarni	VERB
ejpam-4280	117	1	[	[	X
ejpam-4280	117	2	6	6	NUM
ejpam-4280	117	3	]	]	PUNCT
ejpam-4280	117	4	have	have	AUX
ejpam-4280	117	5	used	use	VERB
ejpam-4280	117	6	copulas	copula	NOUN
ejpam-4280	117	7	and	and	CCONJ
ejpam-4280	117	8	the	the	DET
ejpam-4280	117	9	direct	direct	ADJ
ejpam-4280	117	10	estimation	estimation	NOUN
ejpam-4280	117	11	method	method	NOUN
ejpam-4280	117	12	of	of	ADP
ejpam-4280	117	13	conditional	conditional	ADJ
ejpam-4280	117	14	quantiles	quantile	NOUN
ejpam-4280	117	15	to	to	PART
ejpam-4280	117	16	estimate	estimate	VERB
ejpam-4280	117	17	the	the	DET
ejpam-4280	117	18	conditional	conditional	ADJ
ejpam-4280	117	19	quantile	quantile	NOUN
ejpam-4280	117	20	.	.	PUNCT
ejpam-4280	118	1	the	the	DET
ejpam-4280	118	2	asymptotic	asymptotic	ADJ
ejpam-4280	118	3	normality	normality	NOUN
ejpam-4280	118	4	of	of	ADP
ejpam-4280	118	5	their	their	PRON
ejpam-4280	118	6	estimator	estimator	NOUN
ejpam-4280	118	7	has	have	AUX
ejpam-4280	118	8	been	be	AUX
ejpam-4280	118	9	studied	study	VERB
ejpam-4280	118	10	.	.	PUNCT
ejpam-4280	119	1	we	we	PRON
ejpam-4280	119	2	consider	consider	VERB
ejpam-4280	119	3	y	y	PRON
ejpam-4280	119	4	the	the	DET
ejpam-4280	119	5	one	one	NUM
ejpam-4280	119	6	-	-	PUNCT
ejpam-4280	119	7	dimensional	dimensional	ADJ
ejpam-4280	119	8	random	random	ADJ
ejpam-4280	119	9	variable	variable	NOUN
ejpam-4280	119	10	corresponding	correspond	VERB
ejpam-4280	119	11	to	to	ADP
ejpam-4280	119	12	the	the	DET
ejpam-4280	119	13	response	response	NOUN
ejpam-4280	119	14	variable	variable	NOUN
ejpam-4280	119	15	of	of	ADP
ejpam-4280	119	16	marginal	marginal	ADJ
ejpam-4280	119	17	distribution	distribution	NOUN
ejpam-4280	119	18	f0	f0	NOUN
ejpam-4280	119	19	and	and	CCONJ
ejpam-4280	119	20	x	x	SYM
ejpam-4280	119	21	=	=	SYM
ejpam-4280	119	22	(	(	PUNCT
ejpam-4280	119	23	x1	x1	PROPN
ejpam-4280	119	24	,	,	PUNCT
ejpam-4280	119	25	x2	x2	PROPN
ejpam-4280	119	26	;	;	PUNCT
ejpam-4280	119	27	...	...	PUNCT
ejpam-4280	119	28	;	;	PUNCT
ejpam-4280	119	29	xm)t	xm)t	PROPN
ejpam-4280	119	30	a	a	DET
ejpam-4280	119	31	random	random	ADJ
ejpam-4280	119	32	vector	vector	NOUN
ejpam-4280	119	33	of	of	ADP
ejpam-4280	119	34	dimension	dimension	NOUN
ejpam-4280	119	35	m	m	PROPN
ejpam-4280	119	36	and	and	CCONJ
ejpam-4280	119	37	of	of	ADP
ejpam-4280	119	38	marginal	marginal	ADJ
ejpam-4280	119	39	distribution	distribution	NOUN
ejpam-4280	119	40	function	function	NOUN
ejpam-4280	119	41	f	f	PROPN
ejpam-4280	119	42	(	(	PUNCT
ejpam-4280	119	43	x	x	X
ejpam-4280	119	44	)	)	PUNCT
ejpam-4280	119	45	=	=	SYM
ejpam-4280	119	46	(	(	PUNCT
ejpam-4280	119	47	f1(x1	f1(x1	NOUN
ejpam-4280	119	48	)	)	PUNCT
ejpam-4280	119	49	;	;	PUNCT
ejpam-4280	119	50	...	...	PUNCT
ejpam-4280	119	51	;	;	PUNCT
ejpam-4280	119	52	fm(xm	fm(xm	X
ejpam-4280	119	53	)	)	PUNCT
ejpam-4280	119	54	)	)	PUNCT
ejpam-4280	119	55	.	.	PUNCT
ejpam-4280	120	1	we	we	PRON
ejpam-4280	120	2	note	note	VERB
ejpam-4280	120	3	the	the	DET
ejpam-4280	120	4	conditional	conditional	ADJ
ejpam-4280	120	5	distribution	distribution	NOUN
ejpam-4280	120	6	of	of	ADP
ejpam-4280	120	7	y	y	PROPN
ejpam-4280	120	8	|	|	ADV
ejpam-4280	120	9	x	x	PUNCT
ejpam-4280	120	10	by	by	ADP
ejpam-4280	120	11	fy	fy	PROPN
ejpam-4280	120	12	(	(	PUNCT
ejpam-4280	120	13	y	y	PROPN
ejpam-4280	120	14	|	|	ADV
ejpam-4280	120	15	x	x	NOUN
ejpam-4280	120	16	)	)	PUNCT
ejpam-4280	120	17	=	=	PUNCT
ejpam-4280	121	1	p(y	p(y	VERB
ejpam-4280	121	2	≤	≤	ADJ
ejpam-4280	121	3	y	y	PROPN
ejpam-4280	122	1	|	|	NOUN
ejpam-4280	122	2	x	x	NOUN
ejpam-4280	122	3	=	=	SYM
ejpam-4280	122	4	x	x	X
ejpam-4280	122	5	)	)	PUNCT
ejpam-4280	122	6	,	,	PUNCT
ejpam-4280	122	7	y	y	PROPN
ejpam-4280	122	8	∈	∈	PROPN
ejpam-4280	122	9	r	r	NOUN
ejpam-4280	122	10	,	,	PUNCT
ejpam-4280	122	11	x	x	SYM
ejpam-4280	122	12	=	=	SYM
ejpam-4280	122	13	(	(	PUNCT
ejpam-4280	122	14	x1	x1	PROPN
ejpam-4280	122	15	,	,	PUNCT
ejpam-4280	122	16	...	...	PUNCT
ejpam-4280	122	17	,	,	PUNCT
ejpam-4280	122	18	xm	xm	X
ejpam-4280	122	19	)	)	PUNCT
ejpam-4280	122	20	∈	∈	PROPN
ejpam-4280	122	21	rm	rm	PROPN
ejpam-4280	122	22	.	.	PUNCT
ejpam-4280	123	1	(	(	PUNCT
ejpam-4280	123	2	9	9	X
ejpam-4280	123	3	)	)	PUNCT
ejpam-4280	123	4	we	we	PRON
ejpam-4280	123	5	can	can	AUX
ejpam-4280	123	6	establish	establish	VERB
ejpam-4280	123	7	a	a	DET
ejpam-4280	123	8	relation	relation	NOUN
ejpam-4280	123	9	between	between	ADP
ejpam-4280	123	10	the	the	DET
ejpam-4280	123	11	conditional	conditional	ADJ
ejpam-4280	123	12	distribution	distribution	NOUN
ejpam-4280	123	13	function	function	NOUN
ejpam-4280	123	14	,	,	PUNCT
ejpam-4280	123	15	the	the	DET
ejpam-4280	123	16	copula	copula	NOUN
ejpam-4280	123	17	function	function	NOUN
ejpam-4280	123	18	and	and	CCONJ
ejpam-4280	123	19	the	the	DET
ejpam-4280	123	20	marginal	marginal	ADJ
ejpam-4280	123	21	distributions	distribution	NOUN
ejpam-4280	123	22	.	.	PUNCT
ejpam-4280	124	1	this	this	DET
ejpam-4280	124	2	relation	relation	NOUN
ejpam-4280	124	3	was	be	AUX
ejpam-4280	124	4	established	establish	VERB
ejpam-4280	124	5	in	in	ADP
ejpam-4280	124	6	its	its	PRON
ejpam-4280	124	7	first	first	ADJ
ejpam-4280	124	8	version	version	NOUN
ejpam-4280	124	9	,	,	PUNCT
ejpam-4280	124	10	i.e.	i.e.	X
ejpam-4280	124	11	in	in	ADP
ejpam-4280	124	12	the	the	DET
ejpam-4280	124	13	case	case	NOUN
ejpam-4280	124	14	m	m	NOUN
ejpam-4280	124	15	=	=	NOUN
ejpam-4280	124	16	1	1	NUM
ejpam-4280	124	17	in	in	ADP
ejpam-4280	124	18	bouyé	bouyé	NOUN
ejpam-4280	124	19	&	&	CCONJ
ejpam-4280	124	20	salomon	salomon	PROPN
ejpam-4280	124	21	14	14	NUM
ejpam-4280	124	22	.	.	PUNCT
ejpam-4280	125	1	in	in	ADP
ejpam-4280	125	2	the	the	DET
ejpam-4280	125	3	case	case	NOUN
ejpam-4280	125	4	of	of	ADP
ejpam-4280	125	5	dimension	dimension	NOUN
ejpam-4280	125	6	m	m	VERB
ejpam-4280	125	7	≥	≥	NUM
ejpam-4280	125	8	2	2	NUM
ejpam-4280	125	9	[	[	X
ejpam-4280	125	10	6	6	NUM
ejpam-4280	125	11	]	]	PUNCT
ejpam-4280	125	12	,	,	PUNCT
ejpam-4280	125	13	the	the	DET
ejpam-4280	125	14	relation	relation	NOUN
ejpam-4280	125	15	is	be	AUX
ejpam-4280	125	16	given	give	VERB
ejpam-4280	125	17	for	for	ADP
ejpam-4280	125	18	all	all	DET
ejpam-4280	125	19	real	real	ADJ
ejpam-4280	125	20	x	x	NOUN
ejpam-4280	125	21	and	and	CCONJ
ejpam-4280	125	22	y	y	PROPN
ejpam-4280	125	23	by	by	ADP
ejpam-4280	125	24	:	:	PUNCT
ejpam-4280	125	25	fy	fy	PROPN
ejpam-4280	125	26	(	(	PUNCT
ejpam-4280	125	27	y	y	PROPN
ejpam-4280	125	28	|	|	ADV
ejpam-4280	125	29	x	x	NOUN
ejpam-4280	125	30	)	)	PUNCT
ejpam-4280	125	31	=	=	SYM
ejpam-4280	125	32	c̃(f0(y	c̃(f0(y	X
ejpam-4280	125	33	)	)	PUNCT
ejpam-4280	125	34	,	,	PUNCT
ejpam-4280	125	35	f	f	PROPN
ejpam-4280	125	36	(	(	PUNCT
ejpam-4280	125	37	x	x	NOUN
ejpam-4280	125	38	)	)	PUNCT
ejpam-4280	125	39	)	)	PUNCT
ejpam-4280	125	40	;	;	PUNCT
ejpam-4280	125	41	(	(	PUNCT
ejpam-4280	125	42	10	10	NUM
ejpam-4280	125	43	)	)	PUNCT
ejpam-4280	125	44	where	where	SCONJ
ejpam-4280	125	45	c̃	c̃	PROPN
ejpam-4280	125	46	is	be	AUX
ejpam-4280	125	47	the	the	DET
ejpam-4280	125	48	copula	copula	NOUN
ejpam-4280	125	49	such	such	ADJ
ejpam-4280	125	50	that	that	SCONJ
ejpam-4280	125	51	[	[	X
ejpam-4280	125	52	16	16	NUM
ejpam-4280	125	53	]	]	PUNCT
ejpam-4280	125	54	c̃(f0(y	c̃(f0(y	X
ejpam-4280	125	55	)	)	PUNCT
ejpam-4280	125	56	,	,	PUNCT
ejpam-4280	125	57	f	f	PROPN
ejpam-4280	125	58	(	(	PUNCT
ejpam-4280	125	59	x	x	NOUN
ejpam-4280	125	60	)	)	PUNCT
ejpam-4280	125	61	)	)	PUNCT
ejpam-4280	126	1	=	=	SYM
ejpam-4280	126	2	∂f1(x1)	∂f1(x1)	NOUN
ejpam-4280	126	3	...	...	PUNCT
ejpam-4280	126	4	∂fm(xm)c(f0(y	∂fm(xm)c(f0(y	PROPN
ejpam-4280	126	5	)	)	PUNCT
ejpam-4280	126	6	,	,	PUNCT
ejpam-4280	126	7	f1(x1	f1(x1	NOUN
ejpam-4280	126	8	)	)	PUNCT
ejpam-4280	126	9	,	,	PUNCT
ejpam-4280	126	10	...	...	PUNCT
ejpam-4280	126	11	,	,	PUNCT
ejpam-4280	126	12	fm(xm	fm(xm	NOUN
ejpam-4280	126	13	)	)	PUNCT
ejpam-4280	126	14	)	)	PUNCT
ejpam-4280	127	1	∂x1	∂x1	NOUN
ejpam-4280	127	2	...	...	PUNCT
ejpam-4280	127	3	∂xmc(1	∂xmc(1	NOUN
ejpam-4280	127	4	,	,	PUNCT
ejpam-4280	127	5	f1(x1	f1(x1	NOUN
ejpam-4280	127	6	)	)	PUNCT
ejpam-4280	127	7	,	,	PUNCT
ejpam-4280	127	8	...	...	PUNCT
ejpam-4280	127	9	,	,	PUNCT
ejpam-4280	127	10	fm(xm	fm(xm	NOUN
ejpam-4280	127	11	)	)	PUNCT
ejpam-4280	127	12	)	)	PUNCT
ejpam-4280	127	13	.	.	PUNCT
ejpam-4280	128	1	(	(	PUNCT
ejpam-4280	128	2	11	11	NUM
ejpam-4280	128	3	)	)	PUNCT
ejpam-4280	128	4	k.	k.	NOUN
ejpam-4280	128	5	ouédraogo	ouédraogo	PROPN
ejpam-4280	128	6	,	,	PUNCT
ejpam-4280	128	7	d.	d.	PROPN
ejpam-4280	128	8	barro	barro	PROPN
ejpam-4280	128	9	/	/	SYM
ejpam-4280	128	10	eur	eur	PROPN
ejpam-4280	128	11	.	.	PUNCT
ejpam-4280	129	1	j.	j.	PROPN
ejpam-4280	129	2	pure	pure	PROPN
ejpam-4280	129	3	appl	appl	PROPN
ejpam-4280	129	4	.	.	PROPN
ejpam-4280	129	5	math	math	PROPN
ejpam-4280	129	6	,	,	PUNCT
ejpam-4280	129	7	15	15	NUM
ejpam-4280	129	8	(	(	PUNCT
ejpam-4280	129	9	4	4	NUM
ejpam-4280	129	10	)	)	PUNCT
ejpam-4280	129	11	(	(	PUNCT
ejpam-4280	129	12	2022	2022	NUM
ejpam-4280	129	13	)	)	PUNCT
ejpam-4280	129	14	,	,	PUNCT
ejpam-4280	129	15	2074	2074	NUM
ejpam-4280	129	16	-	-	SYM
ejpam-4280	129	17	2085	2085	NUM
ejpam-4280	129	18	2079	2079	NUM
ejpam-4280	129	19	now	now	ADV
ejpam-4280	129	20	by	by	ADP
ejpam-4280	129	21	definition	definition	NOUN
ejpam-4280	129	22	of	of	ADP
ejpam-4280	129	23	the	the	DET
ejpam-4280	129	24	copula	copula	PROPN
ejpam-4280	129	25	c(1	c(1	PROPN
ejpam-4280	129	26	,	,	PUNCT
ejpam-4280	129	27	f	f	PROPN
ejpam-4280	129	28	(	(	PUNCT
ejpam-4280	129	29	x	x	NOUN
ejpam-4280	129	30	)	)	PUNCT
ejpam-4280	129	31	)	)	PUNCT
ejpam-4280	130	1	=	=	SYM
ejpam-4280	130	2	f	f	X
ejpam-4280	130	3	(	(	PUNCT
ejpam-4280	130	4	x	x	NOUN
ejpam-4280	130	5	)	)	PUNCT
ejpam-4280	130	6	.	.	PUNCT
ejpam-4280	131	1	so	so	ADV
ejpam-4280	131	2	,	,	PUNCT
ejpam-4280	131	3	equation(11	equation(11	NOUN
ejpam-4280	131	4	)	)	PUNCT
ejpam-4280	131	5	becomes	become	VERB
ejpam-4280	131	6	c̃(f0(y	c̃(f0(y	NOUN
ejpam-4280	131	7	)	)	PUNCT
ejpam-4280	131	8	,	,	PUNCT
ejpam-4280	131	9	f	f	PROPN
ejpam-4280	131	10	(	(	PUNCT
ejpam-4280	131	11	x	x	NOUN
ejpam-4280	131	12	)	)	PUNCT
ejpam-4280	131	13	)	)	PUNCT
ejpam-4280	132	1	=	=	SYM
ejpam-4280	132	2	∂f1(x1)	∂f1(x1)	NOUN
ejpam-4280	132	3	...	...	PUNCT
ejpam-4280	132	4	∂fm(xm)c(f0(y	∂fm(xm)c(f0(y	PROPN
ejpam-4280	132	5	)	)	PUNCT
ejpam-4280	132	6	,	,	PUNCT
ejpam-4280	132	7	f1(x1	f1(x1	NOUN
ejpam-4280	132	8	)	)	PUNCT
ejpam-4280	132	9	,	,	PUNCT
ejpam-4280	132	10	...	...	PUNCT
ejpam-4280	132	11	,	,	PUNCT
ejpam-4280	132	12	fm(xm	fm(xm	NOUN
ejpam-4280	132	13	)	)	PUNCT
ejpam-4280	132	14	)	)	PUNCT
ejpam-4280	132	15	f(x1	f(x1	NOUN
ejpam-4280	132	16	,	,	PUNCT
ejpam-4280	132	17	...	...	PUNCT
ejpam-4280	132	18	,	,	PUNCT
ejpam-4280	132	19	xm	xm	PROPN
ejpam-4280	132	20	)	)	PUNCT
ejpam-4280	132	21	(	(	PUNCT
ejpam-4280	132	22	12	12	NUM
ejpam-4280	132	23	)	)	PUNCT
ejpam-4280	132	24	in	in	ADP
ejpam-4280	132	25	the	the	DET
ejpam-4280	132	26	rest	rest	NOUN
ejpam-4280	132	27	of	of	ADP
ejpam-4280	132	28	our	our	PRON
ejpam-4280	132	29	work	work	NOUN
ejpam-4280	132	30	,	,	PUNCT
ejpam-4280	132	31	we	we	PRON
ejpam-4280	132	32	consider	consider	VERB
ejpam-4280	132	33	that	that	PRON
ejpam-4280	132	34	m	m	VERB
ejpam-4280	132	35	=	=	SYM
ejpam-4280	132	36	1	1	NUM
ejpam-4280	132	37	,	,	PUNCT
ejpam-4280	132	38	i.e.	i.e.	X
ejpam-4280	132	39	that	that	PRON
ejpam-4280	132	40	x	x	PRON
ejpam-4280	132	41	is	be	AUX
ejpam-4280	132	42	a	a	DET
ejpam-4280	132	43	one	one	NUM
ejpam-4280	132	44	-	-	PUNCT
ejpam-4280	132	45	dimensional	dimensional	ADJ
ejpam-4280	132	46	random	random	ADJ
ejpam-4280	132	47	variable	variable	NOUN
ejpam-4280	132	48	.	.	PUNCT
ejpam-4280	133	1	we	we	PRON
ejpam-4280	133	2	therefore	therefore	ADV
ejpam-4280	133	3	consider	consider	VERB
ejpam-4280	133	4	the	the	DET
ejpam-4280	133	5	pair	pair	NOUN
ejpam-4280	133	6	of	of	ADP
ejpam-4280	133	7	random	random	ADJ
ejpam-4280	133	8	variables	variable	NOUN
ejpam-4280	133	9	(	(	PUNCT
ejpam-4280	133	10	y	y	NOUN
ejpam-4280	133	11	,	,	PUNCT
ejpam-4280	133	12	x	x	NOUN
ejpam-4280	133	13	)	)	PUNCT
ejpam-4280	133	14	of	of	ADP
ejpam-4280	133	15	marginal	marginal	ADJ
ejpam-4280	133	16	distribution	distribution	NOUN
ejpam-4280	133	17	resp	resp	NOUN
ejpam-4280	133	18	f0	f0	PROPN
ejpam-4280	133	19	and	and	CCONJ
ejpam-4280	133	20	f	f	PROPN
ejpam-4280	133	21	and	and	CCONJ
ejpam-4280	133	22	of	of	ADP
ejpam-4280	133	23	conditional	conditional	ADJ
ejpam-4280	133	24	distribution	distribution	NOUN
ejpam-4280	133	25	fy	fy	PROPN
ejpam-4280	133	26	(	(	PUNCT
ejpam-4280	133	27	•	•	INTJ
ejpam-4280	133	28	|	|	ADV
ejpam-4280	133	29	x	x	NOUN
ejpam-4280	133	30	)	)	PUNCT
ejpam-4280	133	31	.	.	PUNCT
ejpam-4280	134	1	the	the	DET
ejpam-4280	134	2	relation	relation	NOUN
ejpam-4280	134	3	between	between	ADP
ejpam-4280	134	4	the	the	DET
ejpam-4280	134	5	copulas	copula	NOUN
ejpam-4280	134	6	and	and	CCONJ
ejpam-4280	134	7	the	the	DET
ejpam-4280	134	8	conditional	conditional	ADJ
ejpam-4280	134	9	distribution	distribution	NOUN
ejpam-4280	134	10	is	be	AUX
ejpam-4280	134	11	now	now	ADV
ejpam-4280	134	12	established	establish	VERB
ejpam-4280	134	13	as	as	SCONJ
ejpam-4280	134	14	follows	follow	VERB
ejpam-4280	134	15	:	:	PUNCT
ejpam-4280	134	16	fy	fy	PROPN
ejpam-4280	134	17	(	(	PUNCT
ejpam-4280	134	18	y	y	PROPN
ejpam-4280	134	19	|	|	ADV
ejpam-4280	134	20	x	x	NOUN
ejpam-4280	134	21	)	)	PUNCT
ejpam-4280	134	22	=	=	SYM
ejpam-4280	134	23	c̃(f0(y	c̃(f0(y	X
ejpam-4280	134	24	)	)	PUNCT
ejpam-4280	134	25	,	,	PUNCT
ejpam-4280	134	26	f	f	PROPN
ejpam-4280	134	27	(	(	PUNCT
ejpam-4280	134	28	x	x	NOUN
ejpam-4280	134	29	)	)	PUNCT
ejpam-4280	134	30	)	)	PUNCT
ejpam-4280	135	1	=	=	SYM
ejpam-4280	135	2	∂c(f0(y	∂c(f0(y	X
ejpam-4280	135	3	)	)	PUNCT
ejpam-4280	135	4	,	,	PUNCT
ejpam-4280	135	5	f	f	PROPN
ejpam-4280	135	6	(	(	PUNCT
ejpam-4280	135	7	x	x	NOUN
ejpam-4280	135	8	)	)	PUNCT
ejpam-4280	135	9	)	)	PUNCT
ejpam-4280	136	1	∂f	∂f	PROPN
ejpam-4280	136	2	(	(	PUNCT
ejpam-4280	136	3	x	x	NOUN
ejpam-4280	136	4	)	)	PUNCT
ejpam-4280	136	5	.	.	PUNCT
ejpam-4280	137	1	(	(	PUNCT
ejpam-4280	137	2	13	13	NUM
ejpam-4280	137	3	)	)	PUNCT
ejpam-4280	137	4	the	the	DET
ejpam-4280	137	5	conditional	conditional	ADJ
ejpam-4280	137	6	quantile	quantile	ADJ
ejpam-4280	137	7	function	function	NOUN
ejpam-4280	137	8	can	can	AUX
ejpam-4280	137	9	be	be	AUX
ejpam-4280	137	10	defined	define	VERB
ejpam-4280	137	11	as	as	ADP
ejpam-4280	137	12	the	the	DET
ejpam-4280	137	13	inverse	inverse	NOUN
ejpam-4280	137	14	of	of	ADP
ejpam-4280	137	15	the	the	DET
ejpam-4280	137	16	conditional	conditional	ADJ
ejpam-4280	137	17	distribution	distribution	NOUN
ejpam-4280	137	18	function	function	NOUN
ejpam-4280	137	19	.	.	PUNCT
ejpam-4280	138	1	for	for	ADP
ejpam-4280	138	2	a	a	DET
ejpam-4280	138	3	conditional	conditional	ADJ
ejpam-4280	138	4	quantile	quantile	NOUN
ejpam-4280	138	5	of	of	ADP
ejpam-4280	138	6	order	order	NOUN
ejpam-4280	138	7	α	α	PRON
ejpam-4280	138	8	we	we	PRON
ejpam-4280	138	9	have	have	VERB
ejpam-4280	138	10	qy	qy	NOUN
ejpam-4280	138	11	(	(	PUNCT
ejpam-4280	138	12	α	α	PROPN
ejpam-4280	138	13	|	|	NOUN
ejpam-4280	138	14	x	x	NOUN
ejpam-4280	138	15	)	)	PUNCT
ejpam-4280	138	16	=	=	SYM
ejpam-4280	138	17	f−1	f−1	PROPN
ejpam-4280	138	18	0	0	PUNCT
ejpam-4280	138	19	(	(	PUNCT
ejpam-4280	138	20	γ(α	γ(α	PROPN
ejpam-4280	138	21	,	,	PUNCT
ejpam-4280	138	22	f	f	PROPN
ejpam-4280	138	23	(	(	PUNCT
ejpam-4280	138	24	x	x	NOUN
ejpam-4280	138	25	)	)	PUNCT
ejpam-4280	138	26	)	)	PUNCT
ejpam-4280	138	27	)	)	PUNCT
ejpam-4280	138	28	(	(	PUNCT
ejpam-4280	138	29	14	14	NUM
ejpam-4280	138	30	)	)	PUNCT
ejpam-4280	138	31	where	where	SCONJ
ejpam-4280	138	32	γ(α	γ(α	PROPN
ejpam-4280	138	33	,	,	PUNCT
ejpam-4280	138	34	v	v	NOUN
ejpam-4280	138	35	)	)	PUNCT
ejpam-4280	138	36	is	be	AUX
ejpam-4280	138	37	the	the	DET
ejpam-4280	138	38	quantile	quantile	NOUN
ejpam-4280	138	39	of	of	ADP
ejpam-4280	138	40	order	order	NOUN
ejpam-4280	138	41	α	α	NOUN
ejpam-4280	138	42	of	of	ADP
ejpam-4280	138	43	the	the	DET
ejpam-4280	138	44	distribution	distribution	NOUN
ejpam-4280	138	45	function	function	NOUN
ejpam-4280	138	46	c̃(u	c̃(u	PROPN
ejpam-4280	138	47	,	,	PUNCT
ejpam-4280	138	48	v	v	NOUN
ejpam-4280	138	49	)	)	PUNCT
ejpam-4280	138	50	that	that	PRON
ejpam-4280	138	51	is	be	AUX
ejpam-4280	138	52	to	to	PART
ejpam-4280	138	53	say	say	VERB
ejpam-4280	138	54	γ(α	γ(α	PROPN
ejpam-4280	138	55	,	,	PUNCT
ejpam-4280	138	56	v	v	NOUN
ejpam-4280	138	57	)	)	PUNCT
ejpam-4280	138	58	=	=	SYM
ejpam-4280	138	59	inf	inf	NOUN
ejpam-4280	138	60	{	{	PUNCT
ejpam-4280	138	61	u	u	NOUN
ejpam-4280	138	62	∈	∈	PROPN
ejpam-4280	139	1	[	[	X
ejpam-4280	139	2	0	0	NUM
ejpam-4280	139	3	,	,	PUNCT
ejpam-4280	139	4	1	1	NUM
ejpam-4280	139	5	]	]	PUNCT
ejpam-4280	139	6	|	|	ADV
ejpam-4280	139	7	γ(u	γ(u	NOUN
ejpam-4280	139	8	,	,	PUNCT
ejpam-4280	139	9	v	v	NOUN
ejpam-4280	139	10	)	)	PUNCT
ejpam-4280	139	11	=	=	SYM
ejpam-4280	139	12	α	α	X
ejpam-4280	139	13	}	}	PUNCT
ejpam-4280	139	14	and	and	CCONJ
ejpam-4280	139	15	f−1	f−1	PROPN
ejpam-4280	139	16	0	0	PUNCT
ejpam-4280	140	1	the	the	DET
ejpam-4280	140	2	generalized	generalized	ADJ
ejpam-4280	140	3	inverse	inverse	NOUN
ejpam-4280	140	4	of	of	ADP
ejpam-4280	140	5	f0	f0	PROPN
ejpam-4280	140	6	.	.	PUNCT
ejpam-4280	141	1	in	in	ADP
ejpam-4280	141	2	general	general	ADJ
ejpam-4280	141	3	,	,	PUNCT
ejpam-4280	141	4	neither	neither	CCONJ
ejpam-4280	141	5	the	the	DET
ejpam-4280	141	6	copula	copula	PROPN
ejpam-4280	141	7	c̃	c̃	PROPN
ejpam-4280	141	8	,	,	PUNCT
ejpam-4280	141	9	nor	nor	CCONJ
ejpam-4280	141	10	the	the	DET
ejpam-4280	141	11	marginal	marginal	ADJ
ejpam-4280	141	12	distribution	distribution	NOUN
ejpam-4280	141	13	functions	function	NOUN
ejpam-4280	141	14	f0	f0	PROPN
ejpam-4280	142	1	and	and	CCONJ
ejpam-4280	142	2	f	f	PROPN
ejpam-4280	142	3	are	be	AUX
ejpam-4280	142	4	known	know	VERB
ejpam-4280	142	5	.	.	PUNCT
ejpam-4280	143	1	they	they	PRON
ejpam-4280	143	2	must	must	AUX
ejpam-4280	143	3	therefore	therefore	ADV
ejpam-4280	143	4	be	be	AUX
ejpam-4280	143	5	estimated	estimate	VERB
ejpam-4280	143	6	.	.	PUNCT
ejpam-4280	144	1	using	use	VERB
ejpam-4280	144	2	this	this	DET
ejpam-4280	144	3	method	method	NOUN
ejpam-4280	144	4	of	of	ADP
ejpam-4280	144	5	estimating	estimate	VERB
ejpam-4280	144	6	the	the	DET
ejpam-4280	144	7	conditional	conditional	ADJ
ejpam-4280	144	8	quantile	quantile	NOUN
ejpam-4280	144	9	we	we	PRON
ejpam-4280	144	10	will	will	AUX
ejpam-4280	144	11	estimate	estimate	VERB
ejpam-4280	144	12	the	the	DET
ejpam-4280	144	13	intermediate	intermediate	ADJ
ejpam-4280	144	14	quantile	quantile	NOUN
ejpam-4280	144	15	.	.	PUNCT
ejpam-4280	145	1	concretely	concretely	ADV
ejpam-4280	145	2	,	,	PUNCT
ejpam-4280	145	3	we	we	PRON
ejpam-4280	145	4	will	will	AUX
ejpam-4280	145	5	use	use	VERB
ejpam-4280	145	6	the	the	DET
ejpam-4280	145	7	bernstein	bernstein	PROPN
ejpam-4280	145	8	copula	copula	PROPN
ejpam-4280	145	9	estimator	estimator	NOUN
ejpam-4280	145	10	to	to	PART
ejpam-4280	145	11	estimate	estimate	VERB
ejpam-4280	145	12	the	the	DET
ejpam-4280	145	13	copula	copula	NOUN
ejpam-4280	145	14	c̃	c̃	PROPN
ejpam-4280	145	15	and	and	CCONJ
ejpam-4280	145	16	the	the	DET
ejpam-4280	145	17	empirical	empirical	ADJ
ejpam-4280	145	18	estimate	estimate	NOUN
ejpam-4280	145	19	for	for	ADP
ejpam-4280	145	20	the	the	DET
ejpam-4280	145	21	marginal	marginal	ADJ
ejpam-4280	145	22	distribution	distribution	NOUN
ejpam-4280	145	23	functions	function	NOUN
ejpam-4280	145	24	.	.	PUNCT
ejpam-4280	146	1	3	3	X
ejpam-4280	146	2	.	.	X
ejpam-4280	146	3	mains	main	NOUN
ejpam-4280	146	4	results	result	VERB
ejpam-4280	146	5	3.1	3.1	NUM
ejpam-4280	146	6	.	.	PUNCT
ejpam-4280	147	1	intermediate	intermediate	ADJ
ejpam-4280	147	2	conditional	conditional	ADJ
ejpam-4280	147	3	quantile	quantile	NOUN
ejpam-4280	147	4	estimating	estimating	NOUN
ejpam-4280	147	5	by	by	ADP
ejpam-4280	147	6	copulas	copula	NOUN
ejpam-4280	147	7	let	let	VERB
ejpam-4280	147	8	αn	αn	NOUN
ejpam-4280	147	9	be	be	AUX
ejpam-4280	147	10	the	the	DET
ejpam-4280	147	11	order	order	NOUN
ejpam-4280	147	12	of	of	ADP
ejpam-4280	147	13	the	the	DET
ejpam-4280	147	14	quantile	quantile	NOUN
ejpam-4280	147	15	such	such	ADJ
ejpam-4280	147	16	that	that	DET
ejpam-4280	147	17	αn	αn	NOUN
ejpam-4280	147	18	→	→	SYM
ejpam-4280	147	19	1	1	NUM
ejpam-4280	147	20	when	when	SCONJ
ejpam-4280	147	21	n	n	X
ejpam-4280	147	22	→	→	SYM
ejpam-4280	147	23	∞.	∞.	PROPN
ejpam-4280	147	24	the	the	DET
ejpam-4280	147	25	conditional	conditional	ADJ
ejpam-4280	147	26	quantile	quantile	NOUN
ejpam-4280	147	27	is	be	AUX
ejpam-4280	147	28	said	say	VERB
ejpam-4280	147	29	to	to	PART
ejpam-4280	147	30	be	be	AUX
ejpam-4280	147	31	intermediate	intermediate	ADJ
ejpam-4280	147	32	if	if	SCONJ
ejpam-4280	147	33	n(1−αn	n(1−αn	NOUN
ejpam-4280	147	34	)	)	PUNCT
ejpam-4280	147	35	→	→	SYM
ejpam-4280	147	36	∞	∞	PROPN
ejpam-4280	147	37	and	and	CCONJ
ejpam-4280	147	38	extreme	extreme	ADJ
ejpam-4280	147	39	if	if	SCONJ
ejpam-4280	147	40	n(1−αn	n(1−αn	PROPN
ejpam-4280	147	41	)	)	PUNCT
ejpam-4280	147	42	→	→	PUNCT
ejpam-4280	147	43	k	k	X
ejpam-4280	147	44	where	where	SCONJ
ejpam-4280	147	45	k	k	PROPN
ejpam-4280	147	46	is	be	AUX
ejpam-4280	147	47	a	a	DET
ejpam-4280	147	48	constant	constant	ADJ
ejpam-4280	147	49	.	.	PUNCT
ejpam-4280	148	1	in	in	ADP
ejpam-4280	148	2	this	this	DET
ejpam-4280	148	3	work	work	NOUN
ejpam-4280	148	4	,	,	PUNCT
ejpam-4280	148	5	we	we	PRON
ejpam-4280	148	6	estimate	estimate	VERB
ejpam-4280	148	7	an	an	DET
ejpam-4280	148	8	extreme	extreme	ADJ
ejpam-4280	148	9	var	var	NOUN
ejpam-4280	148	10	under	under	ADP
ejpam-4280	148	11	the	the	DET
ejpam-4280	148	12	effects	effect	NOUN
ejpam-4280	148	13	of	of	ADP
ejpam-4280	148	14	covariates	covariate	NOUN
ejpam-4280	148	15	and	and	CCONJ
ejpam-4280	148	16	therefore	therefore	ADV
ejpam-4280	148	17	an	an	DET
ejpam-4280	148	18	extreme	extreme	ADJ
ejpam-4280	148	19	conditional	conditional	ADJ
ejpam-4280	148	20	quantile	quantile	NOUN
ejpam-4280	148	21	.	.	PUNCT
ejpam-4280	149	1	extreme	extreme	ADJ
ejpam-4280	149	2	value	value	NOUN
ejpam-4280	149	3	theory	theory	NOUN
ejpam-4280	149	4	provides	provide	VERB
ejpam-4280	149	5	an	an	DET
ejpam-4280	149	6	ideal	ideal	ADJ
ejpam-4280	149	7	framework	framework	NOUN
ejpam-4280	149	8	for	for	ADP
ejpam-4280	149	9	these	these	DET
ejpam-4280	149	10	types	type	NOUN
ejpam-4280	149	11	of	of	ADP
ejpam-4280	149	12	estimates	estimate	NOUN
ejpam-4280	149	13	.	.	PUNCT
ejpam-4280	150	1	one	one	NUM
ejpam-4280	150	2	considers	consider	VERB
ejpam-4280	150	3	a	a	DET
ejpam-4280	150	4	sequence	sequence	NOUN
ejpam-4280	150	5	(	(	PUNCT
ejpam-4280	150	6	βn	βn	NOUN
ejpam-4280	150	7	)	)	PUNCT
ejpam-4280	150	8	defined	define	VERB
ejpam-4280	150	9	such	such	ADJ
ejpam-4280	150	10	that	that	SCONJ
ejpam-4280	150	11	βn	βn	NOUN
ejpam-4280	150	12	→	→	SYM
ejpam-4280	150	13	1	1	NUM
ejpam-4280	150	14	and	and	CCONJ
ejpam-4280	150	15	n(1−βn	n(1−βn	NOUN
ejpam-4280	150	16	)	)	PUNCT
ejpam-4280	150	17	→	→	SYM
ejpam-4280	150	18	∞	∞	NUM
ejpam-4280	150	19	when	when	SCONJ
ejpam-4280	150	20	n	n	X
ejpam-4280	150	21	→	→	SYM
ejpam-4280	150	22	∞	∞	PROPN
ejpam-4280	150	23	,	,	PUNCT
ejpam-4280	150	24	the	the	DET
ejpam-4280	150	25	conditional	conditional	ADJ
ejpam-4280	150	26	quantile	quantile	NOUN
ejpam-4280	150	27	of	of	ADP
ejpam-4280	150	28	order	order	NOUN
ejpam-4280	150	29	βn	βn	VERB
ejpam-4280	150	30	is	be	AUX
ejpam-4280	150	31	an	an	DET
ejpam-4280	150	32	intermediate	intermediate	ADJ
ejpam-4280	150	33	quantile	quantile	NOUN
ejpam-4280	150	34	noted	note	VERB
ejpam-4280	150	35	qy	qy	PROPN
ejpam-4280	150	36	(	(	PUNCT
ejpam-4280	150	37	βn	βn	ADV
ejpam-4280	150	38	|	|	ADV
ejpam-4280	150	39	x	x	NOUN
ejpam-4280	150	40	=	=	PUNCT
ejpam-4280	150	41	x	x	NOUN
ejpam-4280	150	42	)	)	PUNCT
ejpam-4280	150	43	.	.	PUNCT
ejpam-4280	151	1	we	we	PRON
ejpam-4280	151	2	will	will	AUX
ejpam-4280	151	3	thus	thus	ADV
ejpam-4280	151	4	estimate	estimate	VERB
ejpam-4280	151	5	this	this	DET
ejpam-4280	151	6	intermediate	intermediate	ADJ
ejpam-4280	151	7	conditional	conditional	ADJ
ejpam-4280	151	8	quantile	quantile	NOUN
ejpam-4280	151	9	by	by	ADP
ejpam-4280	151	10	using	use	VERB
ejpam-4280	151	11	the	the	DET
ejpam-4280	151	12	relation	relation	NOUN
ejpam-4280	151	13	established	establish	VERB
ejpam-4280	151	14	between	between	ADP
ejpam-4280	151	15	the	the	DET
ejpam-4280	151	16	copula	copula	NOUN
ejpam-4280	151	17	functions	function	NOUN
ejpam-4280	151	18	,	,	PUNCT
ejpam-4280	151	19	the	the	DET
ejpam-4280	151	20	marginal	marginal	ADJ
ejpam-4280	151	21	distribution	distribution	NOUN
ejpam-4280	151	22	functions	function	NOUN
ejpam-4280	151	23	and	and	CCONJ
ejpam-4280	151	24	the	the	DET
ejpam-4280	151	25	conditional	conditional	ADJ
ejpam-4280	151	26	quantile	quantile	ADJ
ejpam-4280	151	27	functions	function	NOUN
ejpam-4280	151	28	.	.	PUNCT
ejpam-4280	152	1	according	accord	VERB
ejpam-4280	152	2	to	to	ADP
ejpam-4280	152	3	the	the	DET
ejpam-4280	152	4	equation	equation	NOUN
ejpam-4280	152	5	(	(	PUNCT
ejpam-4280	152	6	14	14	NUM
ejpam-4280	152	7	)	)	PUNCT
ejpam-4280	152	8	,	,	PUNCT
ejpam-4280	152	9	qy	qy	PROPN
ejpam-4280	152	10	(	(	PUNCT
ejpam-4280	152	11	βn	βn	VERB
ejpam-4280	152	12	|	|	ADV
ejpam-4280	152	13	x	x	NOUN
ejpam-4280	152	14	=	=	SYM
ejpam-4280	152	15	x	x	X
ejpam-4280	152	16	)	)	PUNCT
ejpam-4280	152	17	=	=	SYM
ejpam-4280	152	18	f−1	f−1	PROPN
ejpam-4280	152	19	0	0	PUNCT
ejpam-4280	152	20	(	(	PUNCT
ejpam-4280	152	21	γ(βn	γ(βn	PROPN
ejpam-4280	152	22	,	,	PUNCT
ejpam-4280	152	23	f	f	PROPN
ejpam-4280	152	24	(	(	PUNCT
ejpam-4280	152	25	x	x	NOUN
ejpam-4280	152	26	)	)	PUNCT
ejpam-4280	152	27	)	)	PUNCT
ejpam-4280	152	28	with	with	ADP
ejpam-4280	152	29	γ	γ	PROPN
ejpam-4280	152	30	is	be	AUX
ejpam-4280	152	31	the	the	DET
ejpam-4280	152	32	quantile	quantile	NOUN
ejpam-4280	152	33	of	of	ADP
ejpam-4280	152	34	order	order	NOUN
ejpam-4280	152	35	βn	βn	NOUN
ejpam-4280	152	36	of	of	ADP
ejpam-4280	152	37	the	the	DET
ejpam-4280	152	38	distribution	distribution	NOUN
ejpam-4280	152	39	function	function	NOUN
ejpam-4280	152	40	c̃	c̃	PROPN
ejpam-4280	152	41	,	,	PUNCT
ejpam-4280	152	42	and	and	CCONJ
ejpam-4280	152	43	f−1	f−1	PROPN
ejpam-4280	152	44	0	0	NUM
ejpam-4280	152	45	is	be	AUX
ejpam-4280	152	46	the	the	DET
ejpam-4280	152	47	generalized	generalized	ADJ
ejpam-4280	152	48	inverse	inverse	NOUN
ejpam-4280	152	49	of	of	ADP
ejpam-4280	152	50	f0	f0	PROPN
ejpam-4280	152	51	.	.	PUNCT
ejpam-4280	153	1	we	we	PRON
ejpam-4280	153	2	will	will	AUX
ejpam-4280	153	3	first	first	ADV
ejpam-4280	153	4	estimate	estimate	VERB
ejpam-4280	153	5	the	the	DET
ejpam-4280	153	6	copula	copula	NOUN
ejpam-4280	153	7	c̃	c̃	PROPN
ejpam-4280	153	8	which	which	PRON
ejpam-4280	153	9	corresponds	correspond	VERB
ejpam-4280	153	10	to	to	ADP
ejpam-4280	153	11	the	the	DET
ejpam-4280	153	12	conditional	conditional	PROPN
ejpam-4280	153	13	k.	k.	PROPN
ejpam-4280	153	14	ouédraogo	ouédraogo	PROPN
ejpam-4280	153	15	,	,	PUNCT
ejpam-4280	153	16	d.	d.	PROPN
ejpam-4280	153	17	barro	barro	PROPN
ejpam-4280	153	18	/	/	SYM
ejpam-4280	153	19	eur	eur	PROPN
ejpam-4280	153	20	.	.	PUNCT
ejpam-4280	154	1	j.	j.	PROPN
ejpam-4280	154	2	pure	pure	PROPN
ejpam-4280	154	3	appl	appl	PROPN
ejpam-4280	154	4	.	.	PROPN
ejpam-4280	154	5	math	math	PROPN
ejpam-4280	154	6	,	,	PUNCT
ejpam-4280	154	7	15	15	NUM
ejpam-4280	154	8	(	(	PUNCT
ejpam-4280	154	9	4	4	NUM
ejpam-4280	154	10	)	)	PUNCT
ejpam-4280	154	11	(	(	PUNCT
ejpam-4280	154	12	2022	2022	NUM
ejpam-4280	154	13	)	)	PUNCT
ejpam-4280	154	14	,	,	PUNCT
ejpam-4280	154	15	2074	2074	NUM
ejpam-4280	154	16	-	-	SYM
ejpam-4280	154	17	2085	2085	NUM
ejpam-4280	154	18	2080	2080	NUM
ejpam-4280	154	19	distribution	distribution	NOUN
ejpam-4280	155	1	and	and	CCONJ
ejpam-4280	155	2	then	then	ADV
ejpam-4280	155	3	we	we	PRON
ejpam-4280	155	4	will	will	AUX
ejpam-4280	155	5	estimate	estimate	VERB
ejpam-4280	155	6	its	its	PRON
ejpam-4280	155	7	quantile	quantile	NOUN
ejpam-4280	155	8	and	and	CCONJ
ejpam-4280	155	9	finish	finish	VERB
ejpam-4280	155	10	by	by	ADP
ejpam-4280	155	11	estimating	estimate	VERB
ejpam-4280	155	12	the	the	DET
ejpam-4280	155	13	generalized	generalized	ADJ
ejpam-4280	155	14	inverse	inverse	NOUN
ejpam-4280	155	15	of	of	ADP
ejpam-4280	155	16	the	the	DET
ejpam-4280	155	17	partial	partial	ADJ
ejpam-4280	155	18	distribution	distribution	NOUN
ejpam-4280	155	19	f0	f0	PROPN
ejpam-4280	155	20	.	.	PUNCT
ejpam-4280	156	1	we	we	PRON
ejpam-4280	156	2	first	first	ADV
ejpam-4280	156	3	estimate	estimate	VERB
ejpam-4280	156	4	the	the	DET
ejpam-4280	156	5	copula	copula	NOUN
ejpam-4280	156	6	of	of	ADP
ejpam-4280	156	7	the	the	DET
ejpam-4280	156	8	conditional	conditional	ADJ
ejpam-4280	156	9	distribution	distribution	NOUN
ejpam-4280	156	10	.	.	PUNCT
ejpam-4280	157	1	by	by	ADP
ejpam-4280	157	2	definition	definition	NOUN
ejpam-4280	157	3	,	,	PUNCT
ejpam-4280	157	4	we	we	PRON
ejpam-4280	157	5	have	have	VERB
ejpam-4280	157	6	:	:	PUNCT
ejpam-4280	157	7	fy	fy	PROPN
ejpam-4280	157	8	(	(	PUNCT
ejpam-4280	157	9	y	y	PROPN
ejpam-4280	157	10	|	|	ADV
ejpam-4280	157	11	x	x	NOUN
ejpam-4280	157	12	)	)	PUNCT
ejpam-4280	157	13	=	=	SYM
ejpam-4280	157	14	c̃(f0(y	c̃(f0(y	X
ejpam-4280	157	15	)	)	PUNCT
ejpam-4280	157	16	,	,	PUNCT
ejpam-4280	157	17	f	f	PROPN
ejpam-4280	157	18	(	(	PUNCT
ejpam-4280	157	19	x	x	NOUN
ejpam-4280	157	20	)	)	PUNCT
ejpam-4280	157	21	)	)	PUNCT
ejpam-4280	157	22	=	=	SYM
ejpam-4280	158	1	∂c(f0(y	∂c(f0(y	X
ejpam-4280	158	2	)	)	PUNCT
ejpam-4280	158	3	,	,	PUNCT
ejpam-4280	158	4	f	f	PROPN
ejpam-4280	158	5	(	(	PUNCT
ejpam-4280	158	6	x	x	NOUN
ejpam-4280	158	7	)	)	PUNCT
ejpam-4280	158	8	)	)	PUNCT
ejpam-4280	159	1	∂f	∂f	PROPN
ejpam-4280	159	2	(	(	PUNCT
ejpam-4280	159	3	x	x	NOUN
ejpam-4280	159	4	)	)	PUNCT
ejpam-4280	159	5	.	.	PUNCT
ejpam-4280	160	1	like	like	ADP
ejpam-4280	160	2	the	the	DET
ejpam-4280	160	3	copula	copula	NOUN
ejpam-4280	160	4	c	c	PROPN
ejpam-4280	160	5	and	and	CCONJ
ejpam-4280	160	6	the	the	DET
ejpam-4280	160	7	marginal	marginal	ADJ
ejpam-4280	160	8	distribution	distribution	NOUN
ejpam-4280	160	9	functions	function	NOUN
ejpam-4280	160	10	are	be	AUX
ejpam-4280	160	11	generally	generally	ADV
ejpam-4280	160	12	not	not	PART
ejpam-4280	160	13	known	know	VERB
ejpam-4280	160	14	,	,	PUNCT
ejpam-4280	160	15	we	we	PRON
ejpam-4280	160	16	will	will	AUX
ejpam-4280	160	17	estimate	estimate	VERB
ejpam-4280	160	18	them	they	PRON
ejpam-4280	160	19	by	by	ADP
ejpam-4280	160	20	using	use	VERB
ejpam-4280	160	21	respectively	respectively	ADV
ejpam-4280	160	22	bernstein	bernstein	PROPN
ejpam-4280	160	23	’s	’s	PART
ejpam-4280	160	24	copulas	copula	NOUN
ejpam-4280	160	25	for	for	ADP
ejpam-4280	160	26	the	the	DET
ejpam-4280	160	27	copula	copula	NOUN
ejpam-4280	160	28	c	c	NOUN
ejpam-4280	160	29	and	and	CCONJ
ejpam-4280	160	30	empirical	empirical	ADJ
ejpam-4280	160	31	distribution	distribution	NOUN
ejpam-4280	160	32	functions	function	NOUN
ejpam-4280	160	33	for	for	ADP
ejpam-4280	160	34	the	the	DET
ejpam-4280	160	35	marginal	marginal	ADJ
ejpam-4280	160	36	distribution	distribution	NOUN
ejpam-4280	160	37	functions	function	NOUN
ejpam-4280	160	38	.	.	PUNCT
ejpam-4280	161	1	we	we	PRON
ejpam-4280	161	2	call	call	VERB
ejpam-4280	161	3	f0n	f0n	ADP
ejpam-4280	161	4	and	and	CCONJ
ejpam-4280	161	5	fn	fn	VERB
ejpam-4280	161	6	the	the	DET
ejpam-4280	161	7	empirical	empirical	ADJ
ejpam-4280	161	8	distribution	distribution	NOUN
ejpam-4280	161	9	functions	function	NOUN
ejpam-4280	161	10	corresponding	correspond	VERB
ejpam-4280	161	11	to	to	ADP
ejpam-4280	161	12	the	the	DET
ejpam-4280	161	13	marginal	marginal	ADJ
ejpam-4280	161	14	distributions	distribution	NOUN
ejpam-4280	161	15	f0	f0	PROPN
ejpam-4280	161	16	and	and	CCONJ
ejpam-4280	161	17	f	f	PROPN
ejpam-4280	161	18	the	the	DET
ejpam-4280	161	19	estimator	estimator	NOUN
ejpam-4280	161	20	of	of	ADP
ejpam-4280	161	21	c	c	PROPN
ejpam-4280	161	22	using	use	VERB
ejpam-4280	161	23	bernstein	bernstein	PROPN
ejpam-4280	161	24	’s	’s	PART
ejpam-4280	161	25	copulas	copula	NOUN
ejpam-4280	161	26	is	be	AUX
ejpam-4280	161	27	given	give	VERB
ejpam-4280	161	28	by	by	ADP
ejpam-4280	161	29	cp	cp	PROPN
ejpam-4280	161	30	,	,	PUNCT
ejpam-4280	161	31	n(f0n(y	n(f0n(y	PROPN
ejpam-4280	161	32	)	)	PUNCT
ejpam-4280	161	33	,	,	PUNCT
ejpam-4280	161	34	fn(x	fn(x	X
ejpam-4280	161	35	)	)	PUNCT
ejpam-4280	161	36	)	)	PUNCT
ejpam-4280	162	1	=	=	PUNCT
ejpam-4280	162	2	p∑	p∑	X
ejpam-4280	162	3	k=0	k=0	PROPN
ejpam-4280	163	1	p∑	p∑	X
ejpam-4280	164	1	l=0	l=0	PROPN
ejpam-4280	164	2	cn	cn	PROPN
ejpam-4280	164	3	(	(	PUNCT
ejpam-4280	164	4	k	k	PROPN
ejpam-4280	164	5	p	p	PROPN
ejpam-4280	164	6	,	,	PUNCT
ejpam-4280	164	7	l	l	PROPN
ejpam-4280	164	8	p	p	NOUN
ejpam-4280	164	9	)	)	PUNCT
ejpam-4280	165	1	b(p	b(p	PROPN
ejpam-4280	165	2	,	,	PUNCT
ejpam-4280	165	3	k	k	NOUN
ejpam-4280	165	4	,	,	PUNCT
ejpam-4280	165	5	f0n(y))b(p	f0n(y))b(p	PROPN
ejpam-4280	165	6	,	,	PUNCT
ejpam-4280	165	7	l	l	NOUN
ejpam-4280	165	8	,	,	PUNCT
ejpam-4280	165	9	fn(x	fn(x	NOUN
ejpam-4280	165	10	)	)	PUNCT
ejpam-4280	165	11	)	)	PUNCT
ejpam-4280	165	12	(	(	PUNCT
ejpam-4280	165	13	15	15	NUM
ejpam-4280	165	14	)	)	PUNCT
ejpam-4280	165	15	where	where	SCONJ
ejpam-4280	165	16	cn	cn	PROPN
ejpam-4280	165	17	is	be	AUX
ejpam-4280	165	18	an	an	DET
ejpam-4280	165	19	empirical	empirical	ADJ
ejpam-4280	165	20	estimator	estimator	NOUN
ejpam-4280	165	21	of	of	ADP
ejpam-4280	165	22	the	the	DET
ejpam-4280	165	23	copula	copula	NOUN
ejpam-4280	165	24	c	c	PROPN
ejpam-4280	165	25	and	and	CCONJ
ejpam-4280	165	26	b(p	b(p	PROPN
ejpam-4280	165	27	,	,	PUNCT
ejpam-4280	165	28	k	k	PROPN
ejpam-4280	165	29	,	,	PUNCT
ejpam-4280	165	30	f0n(y	f0n(y	PROPN
ejpam-4280	165	31	)	)	PUNCT
ejpam-4280	165	32	)	)	PUNCT
ejpam-4280	165	33	(	(	PUNCT
ejpam-4280	165	34	resp	resp	NOUN
ejpam-4280	165	35	)	)	PUNCT
ejpam-4280	165	36	b(p	b(p	PROPN
ejpam-4280	165	37	,	,	PUNCT
ejpam-4280	165	38	l	l	NOUN
ejpam-4280	165	39	,	,	PUNCT
ejpam-4280	165	40	fn(x	fn(x	NOUN
ejpam-4280	165	41	)	)	PUNCT
ejpam-4280	165	42	the	the	DET
ejpam-4280	165	43	bernstein	bernstein	PROPN
ejpam-4280	165	44	polynomials	polynomial	NOUN
ejpam-4280	165	45	of	of	ADP
ejpam-4280	165	46	order	order	NOUN
ejpam-4280	165	47	p	p	NOUN
ejpam-4280	165	48	in	in	ADP
ejpam-4280	165	49	f0n(y	f0n(y	PROPN
ejpam-4280	165	50	)	)	PUNCT
ejpam-4280	165	51	(	(	PUNCT
ejpam-4280	165	52	resp	resp	NOUN
ejpam-4280	165	53	)	)	PUNCT
ejpam-4280	165	54	f0n(x)(x	f0n(x)(x	NOUN
ejpam-4280	165	55	)	)	PUNCT
ejpam-4280	165	56	.	.	PUNCT
ejpam-4280	166	1	we	we	PRON
ejpam-4280	166	2	have	have	VERB
ejpam-4280	166	3	b(p	b(p	PROPN
ejpam-4280	166	4	,	,	PUNCT
ejpam-4280	166	5	l	l	NOUN
ejpam-4280	166	6	,	,	PUNCT
ejpam-4280	166	7	fn(x	fn(x	X
ejpam-4280	166	8	)	)	PUNCT
ejpam-4280	166	9	)	)	PUNCT
ejpam-4280	167	1	=	=	PUNCT
ejpam-4280	167	2	c	c	X
ejpam-4280	167	3	l	l	NOUN
ejpam-4280	167	4	p(fn(x	p(fn(x	X
ejpam-4280	167	5	)	)	PUNCT
ejpam-4280	167	6	)	)	PUNCT
ejpam-4280	167	7	l(1−	l(1−	NOUN
ejpam-4280	167	8	fn(x	fn(x	NOUN
ejpam-4280	167	9	)	)	PUNCT
ejpam-4280	167	10	)	)	PUNCT
ejpam-4280	167	11	p−l	p−l	NOUN
ejpam-4280	167	12	.	.	PUNCT
ejpam-4280	168	1	by	by	ADP
ejpam-4280	168	2	partially	partially	ADV
ejpam-4280	168	3	derivating	derivate	VERB
ejpam-4280	168	4	cp	cp	NOUN
ejpam-4280	168	5	,	,	PUNCT
ejpam-4280	168	6	n	n	CCONJ
ejpam-4280	168	7	with	with	ADP
ejpam-4280	168	8	respect	respect	NOUN
ejpam-4280	168	9	to	to	ADP
ejpam-4280	168	10	fn(x	fn(x	NOUN
ejpam-4280	168	11	)	)	PUNCT
ejpam-4280	168	12	,	,	PUNCT
ejpam-4280	168	13	we	we	PRON
ejpam-4280	168	14	obtain	obtain	VERB
ejpam-4280	168	15	the	the	DET
ejpam-4280	168	16	copula	copula	ADJ
ejpam-4280	168	17	c̃p	c̃p	NOUN
ejpam-4280	168	18	,	,	PUNCT
ejpam-4280	168	19	n	n	PRON
ejpam-4280	168	20	given	give	VERB
ejpam-4280	168	21	by	by	ADP
ejpam-4280	168	22	the	the	DET
ejpam-4280	168	23	following	follow	VERB
ejpam-4280	168	24	result	result	NOUN
ejpam-4280	168	25	.	.	PUNCT
ejpam-4280	169	1	proposition	proposition	NOUN
ejpam-4280	169	2	1	1	NUM
ejpam-4280	169	3	.	.	PUNCT
ejpam-4280	170	1	the	the	DET
ejpam-4280	170	2	estimator	estimator	NOUN
ejpam-4280	170	3	of	of	ADP
ejpam-4280	170	4	the	the	DET
ejpam-4280	170	5	copule	copule	NOUN
ejpam-4280	170	6	of	of	ADP
ejpam-4280	170	7	conditional	conditional	ADJ
ejpam-4280	170	8	distribution	distribution	NOUN
ejpam-4280	170	9	is	be	AUX
ejpam-4280	170	10	given	give	VERB
ejpam-4280	170	11	by	by	ADP
ejpam-4280	170	12	c̃p	c̃p	PROPN
ejpam-4280	170	13	,	,	PUNCT
ejpam-4280	170	14	n(f0n(y	n(f0n(y	PROPN
ejpam-4280	170	15	)	)	PUNCT
ejpam-4280	170	16	,	,	PUNCT
ejpam-4280	170	17	fn(x	fn(x	X
ejpam-4280	170	18	)	)	PUNCT
ejpam-4280	170	19	)	)	PUNCT
ejpam-4280	171	1	=	=	PUNCT
ejpam-4280	171	2	a×	a×	NUM
ejpam-4280	171	3	cp	cp	NUM
ejpam-4280	171	4	,	,	PUNCT
ejpam-4280	171	5	n(f0n(y	n(f0n(y	PROPN
ejpam-4280	171	6	)	)	PUNCT
ejpam-4280	171	7	,	,	PUNCT
ejpam-4280	171	8	fn(x	fn(x	X
ejpam-4280	171	9	)	)	PUNCT
ejpam-4280	171	10	)	)	PUNCT
ejpam-4280	171	11	.	.	PUNCT
ejpam-4280	172	1	(	(	PUNCT
ejpam-4280	172	2	16	16	NUM
ejpam-4280	172	3	)	)	PUNCT
ejpam-4280	172	4	with	with	ADP
ejpam-4280	172	5	a	a	DET
ejpam-4280	172	6	defined	define	VERB
ejpam-4280	172	7	by	by	ADP
ejpam-4280	172	8	a	a	DET
ejpam-4280	172	9	=	=	PUNCT
ejpam-4280	172	10	−p2fn(x	−p2fn(x	PROPN
ejpam-4280	172	11	)	)	PUNCT
ejpam-4280	172	12	+	+	NOUN
ejpam-4280	172	13	5pfn(x)−	5pfn(x)−	NUM
ejpam-4280	172	14	2p	2p	NUM
ejpam-4280	172	15	2fn(x)(1−	2fn(x)(1−	NUM
ejpam-4280	172	16	fn(x	fn(x	NOUN
ejpam-4280	172	17	)	)	PUNCT
ejpam-4280	172	18	)	)	PUNCT
ejpam-4280	172	19	.	.	PUNCT
ejpam-4280	173	1	if	if	SCONJ
ejpam-4280	173	2	p	p	NOUN
ejpam-4280	173	3	=	=	SYM
ejpam-4280	173	4	p(n	p(n	PROPN
ejpam-4280	173	5	)	)	PUNCT
ejpam-4280	173	6	→	→	SYM
ejpam-4280	173	7	∞	∞	PROPN
ejpam-4280	173	8	and	and	CCONJ
ejpam-4280	173	9	n	n	PRON
ejpam-4280	173	10	p	p	NOUN
ejpam-4280	173	11	log	log	NOUN
ejpam-4280	173	12	logn	logn	NOUN
ejpam-4280	173	13	→	→	SYM
ejpam-4280	173	14	k	k	X
ejpam-4280	173	15	≥	≥	X
ejpam-4280	173	16	0	0	NUM
ejpam-4280	173	17	then	then	ADV
ejpam-4280	173	18	∥	∥	PUNCT
ejpam-4280	173	19	c̃p	c̃p	NOUN
ejpam-4280	173	20	,	,	PUNCT
ejpam-4280	173	21	n	n	PRON
ejpam-4280	173	22	−ac	−ac	NOUN
ejpam-4280	173	23	∥=|	∥=|	PROPN
ejpam-4280	173	24	a	a	DET
ejpam-4280	173	25	|	|	NOUN
ejpam-4280	173	26	×o(n−	×o(n−	NOUN
ejpam-4280	173	27	1	1	NUM
ejpam-4280	173	28	2	2	NUM
ejpam-4280	173	29	(	(	PUNCT
ejpam-4280	173	30	log	log	VERB
ejpam-4280	173	31	log	log	NOUN
ejpam-4280	173	32	n	n	CCONJ
ejpam-4280	173	33	)	)	PUNCT
ejpam-4280	173	34	1	1	NUM
ejpam-4280	173	35	2	2	X
ejpam-4280	173	36	)	)	PUNCT
ejpam-4280	173	37	a.s	a.s	PROPN
ejpam-4280	173	38	n	n	PROPN
ejpam-4280	173	39	→	→	SYM
ejpam-4280	173	40	∞	∞	PROPN
ejpam-4280	173	41	(	(	PUNCT
ejpam-4280	173	42	17	17	NUM
ejpam-4280	173	43	)	)	PUNCT
ejpam-4280	173	44	avec	avec	X
ejpam-4280	173	45	∥	∥	X
ejpam-4280	173	46	.	.	PUNCT
ejpam-4280	174	1	∥	∥	X
ejpam-4280	174	2	the	the	DET
ejpam-4280	174	3	supremum	supremum	ADJ
ejpam-4280	174	4	norm	norm	NOUN
ejpam-4280	174	5	the	the	DET
ejpam-4280	174	6	following	follow	VERB
ejpam-4280	174	7	proof	proof	NOUN
ejpam-4280	174	8	is	be	AUX
ejpam-4280	174	9	for	for	ADP
ejpam-4280	174	10	the	the	DET
ejpam-4280	174	11	proposition	proposition	NOUN
ejpam-4280	174	12	(	(	PUNCT
ejpam-4280	174	13	1	1	X
ejpam-4280	174	14	)	)	PUNCT
ejpam-4280	174	15	proof	proof	NOUN
ejpam-4280	174	16	.	.	PUNCT
ejpam-4280	175	1	∥	∥	X
ejpam-4280	175	2	c̃p	c̃p	NOUN
ejpam-4280	175	3	,	,	PUNCT
ejpam-4280	175	4	n	n	CCONJ
ejpam-4280	175	5	−	−	PROPN
ejpam-4280	175	6	ac	ac	PROPN
ejpam-4280	175	7	∥=|	∥=|	PROPN
ejpam-4280	175	8	a	a	DET
ejpam-4280	175	9	|∥	|∥	PROPN
ejpam-4280	175	10	cp	cp	NOUN
ejpam-4280	175	11	,	,	PUNCT
ejpam-4280	175	12	n	n	PRON
ejpam-4280	175	13	−	−	PROPN
ejpam-4280	175	14	c	c	NOUN
ejpam-4280	175	15	∥.	∥.	NOUN
ejpam-4280	175	16	according	accord	VERB
ejpam-4280	175	17	to	to	ADP
ejpam-4280	175	18	the	the	DET
ejpam-4280	175	19	theorem	theorem	NOUN
ejpam-4280	175	20	1	1	NUM
ejpam-4280	175	21	of	of	ADP
ejpam-4280	175	22	[	[	X
ejpam-4280	175	23	19	19	NUM
ejpam-4280	175	24	]	]	SYM
ejpam-4280	175	25	∥	∥	NUM
ejpam-4280	175	26	cp	cp	NOUN
ejpam-4280	175	27	,	,	PUNCT
ejpam-4280	175	28	n	n	PRON
ejpam-4280	175	29	−	−	PROPN
ejpam-4280	175	30	c	c	NOUN
ejpam-4280	175	31	∥=	∥=	NOUN
ejpam-4280	175	32	o(n−	o(n−	ADJ
ejpam-4280	175	33	1	1	NUM
ejpam-4280	175	34	2	2	NUM
ejpam-4280	175	35	(	(	PUNCT
ejpam-4280	175	36	log	log	VERB
ejpam-4280	175	37	log	log	NOUN
ejpam-4280	175	38	n	n	CCONJ
ejpam-4280	175	39	)	)	PUNCT
ejpam-4280	175	40	1	1	NUM
ejpam-4280	175	41	2	2	NUM
ejpam-4280	175	42	.	.	PUNCT
ejpam-4280	176	1	we	we	PRON
ejpam-4280	176	2	then	then	ADV
ejpam-4280	176	3	deduce	deduce	VERB
ejpam-4280	176	4	the	the	DET
ejpam-4280	176	5	result	result	NOUN
ejpam-4280	176	6	3.2	3.2	NUM
ejpam-4280	176	7	.	.	PUNCT
ejpam-4280	177	1	estimation	estimation	NOUN
ejpam-4280	177	2	of	of	ADP
ejpam-4280	177	3	the	the	DET
ejpam-4280	177	4	partial	partial	ADJ
ejpam-4280	177	5	inverse	inverse	NOUN
ejpam-4280	177	6	of	of	ADP
ejpam-4280	177	7	the	the	DET
ejpam-4280	177	8	copula	copula	NOUN
ejpam-4280	177	9	c̃	c̃	PROPN
ejpam-4280	177	10	this	this	PRON
ejpam-4280	177	11	consists	consist	VERB
ejpam-4280	177	12	in	in	ADP
ejpam-4280	177	13	finding	find	VERB
ejpam-4280	177	14	the	the	DET
ejpam-4280	177	15	partial	partial	ADJ
ejpam-4280	177	16	inverse	inverse	NOUN
ejpam-4280	177	17	of	of	ADP
ejpam-4280	177	18	the	the	DET
ejpam-4280	177	19	copula	copula	NOUN
ejpam-4280	177	20	c̃(f0(y	c̃(f0(y	PROPN
ejpam-4280	177	21	)	)	PUNCT
ejpam-4280	177	22	,	,	PUNCT
ejpam-4280	177	23	f	f	PROPN
ejpam-4280	177	24	(	(	PUNCT
ejpam-4280	177	25	x	x	NOUN
ejpam-4280	177	26	)	)	PUNCT
ejpam-4280	177	27	)	)	PUNCT
ejpam-4280	177	28	.	.	PUNCT
ejpam-4280	178	1	it	it	PRON
ejpam-4280	178	2	is	be	AUX
ejpam-4280	178	3	defined	define	VERB
ejpam-4280	178	4	by	by	ADP
ejpam-4280	178	5	γ(β(n	γ(β(n	PROPN
ejpam-4280	178	6	)	)	PUNCT
ejpam-4280	178	7	,	,	PUNCT
ejpam-4280	178	8	f	f	PROPN
ejpam-4280	178	9	(	(	PUNCT
ejpam-4280	178	10	x	x	NOUN
ejpam-4280	178	11	)	)	PUNCT
ejpam-4280	178	12	)	)	PUNCT
ejpam-4280	179	1	=	=	SYM
ejpam-4280	179	2	inf{f0(y	inf{f0(y	PROPN
ejpam-4280	179	3	)	)	PUNCT
ejpam-4280	179	4	|	|	ADV
ejpam-4280	179	5	c̃(f0(y	c̃(f0(y	X
ejpam-4280	179	6	)	)	PUNCT
ejpam-4280	179	7	,	,	PUNCT
ejpam-4280	179	8	f	f	PROPN
ejpam-4280	179	9	(	(	PUNCT
ejpam-4280	179	10	x	x	NOUN
ejpam-4280	179	11	)	)	PUNCT
ejpam-4280	179	12	)	)	PUNCT
ejpam-4280	179	13	=	=	PUNCT
ejpam-4280	179	14	βn	βn	PROPN
ejpam-4280	179	15	}	}	PUNCT
ejpam-4280	179	16	.	.	PUNCT
ejpam-4280	180	1	the	the	DET
ejpam-4280	180	2	intermediate	intermediate	ADJ
ejpam-4280	180	3	conditional	conditional	ADJ
ejpam-4280	180	4	quantile	quantile	NOUN
ejpam-4280	180	5	is	be	AUX
ejpam-4280	180	6	given	give	VERB
ejpam-4280	180	7	by	by	ADP
ejpam-4280	180	8	qy	qy	PROPN
ejpam-4280	180	9	(	(	PUNCT
ejpam-4280	180	10	βn	βn	ADV
ejpam-4280	180	11	|	|	ADV
ejpam-4280	180	12	x	x	NOUN
ejpam-4280	180	13	=	=	SYM
ejpam-4280	180	14	x	x	X
ejpam-4280	180	15	)	)	PUNCT
ejpam-4280	180	16	=	=	SYM
ejpam-4280	180	17	f−1	f−1	PROPN
ejpam-4280	180	18	0	0	PUNCT
ejpam-4280	180	19	(	(	PUNCT
ejpam-4280	180	20	γ(β(n	γ(β(n	PROPN
ejpam-4280	180	21	)	)	PUNCT
ejpam-4280	180	22	,	,	PUNCT
ejpam-4280	180	23	f	f	PROPN
ejpam-4280	180	24	(	(	PUNCT
ejpam-4280	180	25	x	x	NOUN
ejpam-4280	180	26	)	)	PUNCT
ejpam-4280	180	27	)	)	PUNCT
ejpam-4280	180	28	)	)	PUNCT
ejpam-4280	180	29	;	;	PUNCT
ejpam-4280	180	30	(	(	PUNCT
ejpam-4280	180	31	18	18	NUM
ejpam-4280	180	32	)	)	PUNCT
ejpam-4280	180	33	where	where	SCONJ
ejpam-4280	180	34	f−1	f−1	PROPN
ejpam-4280	180	35	0	0	NUM
ejpam-4280	180	36	is	be	AUX
ejpam-4280	180	37	the	the	DET
ejpam-4280	180	38	generalized	generalized	ADJ
ejpam-4280	180	39	inverse	inverse	NOUN
ejpam-4280	180	40	of	of	ADP
ejpam-4280	180	41	f0	f0	PROPN
ejpam-4280	180	42	.	.	PUNCT
ejpam-4280	181	1	k.	k.	PROPN
ejpam-4280	181	2	ouédraogo	ouédraogo	PROPN
ejpam-4280	181	3	,	,	PUNCT
ejpam-4280	181	4	d.	d.	PROPN
ejpam-4280	181	5	barro	barro	PROPN
ejpam-4280	181	6	/	/	SYM
ejpam-4280	181	7	eur	eur	PROPN
ejpam-4280	181	8	.	.	PUNCT
ejpam-4280	182	1	j.	j.	PROPN
ejpam-4280	182	2	pure	pure	PROPN
ejpam-4280	182	3	appl	appl	PROPN
ejpam-4280	182	4	.	.	PROPN
ejpam-4280	182	5	math	math	PROPN
ejpam-4280	182	6	,	,	PUNCT
ejpam-4280	182	7	15	15	NUM
ejpam-4280	182	8	(	(	PUNCT
ejpam-4280	182	9	4	4	NUM
ejpam-4280	182	10	)	)	PUNCT
ejpam-4280	182	11	(	(	PUNCT
ejpam-4280	182	12	2022	2022	NUM
ejpam-4280	182	13	)	)	PUNCT
ejpam-4280	182	14	,	,	PUNCT
ejpam-4280	182	15	2074	2074	NUM
ejpam-4280	182	16	-	-	SYM
ejpam-4280	182	17	2085	2085	NUM
ejpam-4280	182	18	2081	2081	NUM
ejpam-4280	182	19	proposition	proposition	NOUN
ejpam-4280	182	20	2	2	NUM
ejpam-4280	182	21	.	.	PUNCT
ejpam-4280	183	1	let	let	VERB
ejpam-4280	183	2	βn	βn	VERB
ejpam-4280	183	3	be	be	AUX
ejpam-4280	183	4	the	the	DET
ejpam-4280	183	5	parameter	parameter	NOUN
ejpam-4280	183	6	of	of	ADP
ejpam-4280	183	7	the	the	DET
ejpam-4280	183	8	intermediate	intermediate	ADJ
ejpam-4280	183	9	conditional	conditional	ADJ
ejpam-4280	183	10	quantile	quantile	NOUN
ejpam-4280	183	11	.	.	PUNCT
ejpam-4280	184	1	we	we	PRON
ejpam-4280	184	2	fix	fix	VERB
ejpam-4280	184	3	βn	βn	ADJ
ejpam-4280	184	4	=	=	SYM
ejpam-4280	184	5	1−	1−	NUM
ejpam-4280	184	6	k	k	NOUN
ejpam-4280	185	1	n	n	PRON
ejpam-4280	185	2	such	such	ADJ
ejpam-4280	185	3	that	that	SCONJ
ejpam-4280	185	4	k	k	PROPN
ejpam-4280	185	5	=	=	PUNCT
ejpam-4280	185	6	k(n	k(n	X
ejpam-4280	185	7	)	)	PUNCT
ejpam-4280	185	8	→	→	SYM
ejpam-4280	185	9	∞	∞	NUM
ejpam-4280	185	10	when	when	SCONJ
ejpam-4280	185	11	n	n	X
ejpam-4280	185	12	→	→	SYM
ejpam-4280	185	13	∞.	∞.	PROPN
ejpam-4280	185	14	the	the	DET
ejpam-4280	185	15	non	non	ADJ
ejpam-4280	185	16	-	-	ADJ
ejpam-4280	185	17	parametric	parametric	ADJ
ejpam-4280	185	18	estimator	estimator	NOUN
ejpam-4280	185	19	of	of	ADP
ejpam-4280	185	20	the	the	DET
ejpam-4280	185	21	intermediate	intermediate	ADJ
ejpam-4280	185	22	conditional	conditional	ADJ
ejpam-4280	185	23	quantile	quantile	NOUN
ejpam-4280	185	24	of	of	ADP
ejpam-4280	185	25	order	order	NOUN
ejpam-4280	185	26	βn	βn	NOUN
ejpam-4280	185	27	is	be	AUX
ejpam-4280	185	28	defined	define	VERB
ejpam-4280	185	29	by	by	ADP
ejpam-4280	185	30	q̂y	q̂y	PROPN
ejpam-4280	185	31	(	(	PUNCT
ejpam-4280	185	32	βn	βn	ADV
ejpam-4280	185	33	|	|	ADV
ejpam-4280	185	34	x	x	NOUN
ejpam-4280	185	35	=	=	SYM
ejpam-4280	185	36	x	x	X
ejpam-4280	185	37	)	)	PUNCT
ejpam-4280	185	38	=	=	SYM
ejpam-4280	185	39	f−1	f−1	PROPN
ejpam-4280	185	40	0n	0n	NOUN
ejpam-4280	185	41	{	{	PUNCT
ejpam-4280	185	42	c−1	c−1	PROPN
ejpam-4280	185	43	p	p	PROPN
ejpam-4280	185	44	,	,	PUNCT
ejpam-4280	185	45	n	n	PROPN
ejpam-4280	185	46	(	(	PUNCT
ejpam-4280	185	47	−βna	−βna	NOUN
ejpam-4280	185	48	−1	−1	NOUN
ejpam-4280	185	49	,	,	PUNCT
ejpam-4280	185	50	fn(x	fn(x	X
ejpam-4280	185	51	)	)	PUNCT
ejpam-4280	185	52	)	)	PUNCT
ejpam-4280	185	53	}	}	PUNCT
ejpam-4280	185	54	.	.	PUNCT
ejpam-4280	186	1	(	(	PUNCT
ejpam-4280	186	2	19	19	NUM
ejpam-4280	186	3	)	)	PUNCT
ejpam-4280	186	4	proof	proof	NOUN
ejpam-4280	186	5	.	.	PUNCT
ejpam-4280	187	1	recall	recall	VERB
ejpam-4280	187	2	that	that	PRON
ejpam-4280	187	3	for	for	ADP
ejpam-4280	187	4	a	a	DET
ejpam-4280	187	5	bernstein	bernstein	PROPN
ejpam-4280	187	6	polynomial	polynomial	PROPN
ejpam-4280	187	7	b(m	b(m	PROPN
ejpam-4280	187	8	,	,	PUNCT
ejpam-4280	187	9	k	k	PROPN
ejpam-4280	187	10	,	,	PUNCT
ejpam-4280	187	11	z	z	PROPN
ejpam-4280	187	12	)	)	PUNCT
ejpam-4280	187	13	it	it	PRON
ejpam-4280	187	14	comes	come	VERB
ejpam-4280	187	15	that	that	SCONJ
ejpam-4280	187	16	:	:	PUNCT
ejpam-4280	187	17	d	d	X
ejpam-4280	187	18	dz	dz	PROPN
ejpam-4280	187	19	b(m	b(m	PROPN
ejpam-4280	187	20	,	,	PUNCT
ejpam-4280	187	21	k	k	PROPN
ejpam-4280	187	22	,	,	PUNCT
ejpam-4280	187	23	z	z	NOUN
ejpam-4280	187	24	)	)	PUNCT
ejpam-4280	187	25	=	=	SYM
ejpam-4280	187	26	m	m	VERB
ejpam-4280	187	27	[	[	X
ejpam-4280	187	28	b(m−	b(m−	PROPN
ejpam-4280	187	29	1	1	NUM
ejpam-4280	187	30	,	,	PUNCT
ejpam-4280	187	31	k	k	PROPN
ejpam-4280	188	1	−	−	PROPN
ejpam-4280	188	2	1	1	NUM
ejpam-4280	188	3	,	,	PUNCT
ejpam-4280	188	4	z)−b(m−	z)−b(m−	PRON
ejpam-4280	188	5	1	1	NUM
ejpam-4280	188	6	,	,	PUNCT
ejpam-4280	188	7	kz	kz	PROPN
ejpam-4280	188	8	)	)	PUNCT
ejpam-4280	188	9	]	]	PUNCT
ejpam-4280	188	10	(	(	PUNCT
ejpam-4280	188	11	20	20	NUM
ejpam-4280	188	12	)	)	PUNCT
ejpam-4280	188	13	and	and	CCONJ
ejpam-4280	188	14	that	that	SCONJ
ejpam-4280	188	15	cp	cp	PROPN
ejpam-4280	188	16	,	,	PUNCT
ejpam-4280	188	17	n(f0(y	n(f0(y	PROPN
ejpam-4280	188	18	)	)	PUNCT
ejpam-4280	188	19	,	,	PUNCT
ejpam-4280	188	20	f	f	PROPN
ejpam-4280	188	21	(	(	PUNCT
ejpam-4280	188	22	x	x	NOUN
ejpam-4280	188	23	)	)	PUNCT
ejpam-4280	188	24	)	)	PUNCT
ejpam-4280	189	1	=	=	PUNCT
ejpam-4280	189	2	f0(y)f	f0(y)f	NOUN
ejpam-4280	189	3	(	(	PUNCT
ejpam-4280	189	4	x	x	NOUN
ejpam-4280	189	5	)	)	PUNCT
ejpam-4280	189	6	p∑	p∑	X
ejpam-4280	190	1	k=0	k=0	PROPN
ejpam-4280	191	1	p∑	p∑	X
ejpam-4280	192	1	l=0	l=0	PROPN
ejpam-4280	192	2	cn	cn	PROPN
ejpam-4280	192	3	(	(	PUNCT
ejpam-4280	192	4	k	k	PROPN
ejpam-4280	192	5	p	p	PROPN
ejpam-4280	192	6	,	,	PUNCT
ejpam-4280	192	7	l	l	PROPN
ejpam-4280	192	8	p	p	NOUN
ejpam-4280	192	9	)	)	PUNCT
ejpam-4280	192	10	b(p−1	b(p−1	PROPN
ejpam-4280	192	11	,	,	PUNCT
ejpam-4280	192	12	k−1	k−1	PROPN
ejpam-4280	192	13	,	,	PUNCT
ejpam-4280	192	14	f0(y))b(p−1	f0(y))b(p−1	PROPN
ejpam-4280	192	15	,	,	PUNCT
ejpam-4280	192	16	l−1	l−1	PROPN
ejpam-4280	192	17	,	,	PUNCT
ejpam-4280	192	18	f	f	PROPN
ejpam-4280	192	19	(	(	PUNCT
ejpam-4280	192	20	x	x	NOUN
ejpam-4280	192	21	)	)	PUNCT
ejpam-4280	192	22	)	)	PUNCT
ejpam-4280	192	23	.	.	PUNCT
ejpam-4280	193	1	(	(	PUNCT
ejpam-4280	193	2	21	21	NUM
ejpam-4280	193	3	)	)	PUNCT
ejpam-4280	193	4	by	by	ADP
ejpam-4280	193	5	definition	definition	NOUN
ejpam-4280	193	6	we	we	PRON
ejpam-4280	193	7	have	have	VERB
ejpam-4280	193	8	c̃p	c̃p	PROPN
ejpam-4280	193	9	,	,	PUNCT
ejpam-4280	193	10	n(f0(y	n(f0(y	PROPN
ejpam-4280	193	11	)	)	PUNCT
ejpam-4280	193	12	,	,	PUNCT
ejpam-4280	193	13	f	f	PROPN
ejpam-4280	193	14	(	(	PUNCT
ejpam-4280	193	15	x	x	NOUN
ejpam-4280	193	16	)	)	PUNCT
ejpam-4280	193	17	)	)	PUNCT
ejpam-4280	194	1	=	=	PUNCT
ejpam-4280	194	2	p∑	p∑	X
ejpam-4280	194	3	k=0	k=0	PROPN
ejpam-4280	195	1	p∑	p∑	X
ejpam-4280	196	1	l=0	l=0	PROPN
ejpam-4280	196	2	cn	cn	PROPN
ejpam-4280	196	3	(	(	PUNCT
ejpam-4280	196	4	k	k	PROPN
ejpam-4280	196	5	p	p	PROPN
ejpam-4280	196	6	,	,	PUNCT
ejpam-4280	196	7	l	l	PROPN
ejpam-4280	196	8	p	p	NOUN
ejpam-4280	196	9	)	)	PUNCT
ejpam-4280	197	1	b(p	b(p	PROPN
ejpam-4280	197	2	,	,	PUNCT
ejpam-4280	197	3	k	k	NOUN
ejpam-4280	197	4	,	,	PUNCT
ejpam-4280	197	5	f0(y	f0(y	NOUN
ejpam-4280	197	6	)	)	PUNCT
ejpam-4280	197	7	)	)	PUNCT
ejpam-4280	198	1	d	d	X
ejpam-4280	198	2	df	df	NOUN
ejpam-4280	198	3	(	(	PUNCT
ejpam-4280	198	4	x	x	NOUN
ejpam-4280	198	5	)	)	PUNCT
ejpam-4280	198	6	b(p	b(p	PROPN
ejpam-4280	198	7	,	,	PUNCT
ejpam-4280	198	8	l	l	PROPN
ejpam-4280	198	9	,	,	PUNCT
ejpam-4280	198	10	f	f	PROPN
ejpam-4280	198	11	(	(	PUNCT
ejpam-4280	198	12	x	x	NOUN
ejpam-4280	198	13	)	)	PUNCT
ejpam-4280	198	14	)	)	PUNCT
ejpam-4280	198	15	.	.	PUNCT
ejpam-4280	199	1	(	(	PUNCT
ejpam-4280	199	2	22	22	NUM
ejpam-4280	199	3	)	)	PUNCT
ejpam-4280	199	4	moreover	moreover	ADV
ejpam-4280	199	5	from	from	ADP
ejpam-4280	199	6	(	(	PUNCT
ejpam-4280	199	7	20	20	NUM
ejpam-4280	199	8	)	)	PUNCT
ejpam-4280	199	9	we	we	PRON
ejpam-4280	199	10	have	have	VERB
ejpam-4280	199	11	equation	equation	NOUN
ejpam-4280	199	12	(	(	PUNCT
ejpam-4280	199	13	22	22	NUM
ejpam-4280	199	14	)	)	PUNCT
ejpam-4280	199	15	wich	wich	PRON
ejpam-4280	199	16	becomes	become	VERB
ejpam-4280	199	17	:	:	PUNCT
ejpam-4280	199	18	c̃p	c̃p	NOUN
ejpam-4280	199	19	,	,	PUNCT
ejpam-4280	199	20	n(f0(y	n(f0(y	PROPN
ejpam-4280	199	21	)	)	PUNCT
ejpam-4280	199	22	,	,	PUNCT
ejpam-4280	199	23	f	f	PROPN
ejpam-4280	199	24	(	(	PUNCT
ejpam-4280	199	25	x	x	NOUN
ejpam-4280	199	26	)	)	PUNCT
ejpam-4280	199	27	)	)	PUNCT
ejpam-4280	200	1	=	=	PUNCT
ejpam-4280	200	2	p∑	p∑	X
ejpam-4280	200	3	k=0	k=0	PUNCT
ejpam-4280	200	4	p∑	p∑	X
ejpam-4280	201	1	l=0	l=0	PROPN
ejpam-4280	201	2	c	c	PROPN
ejpam-4280	202	1	(	(	PUNCT
ejpam-4280	202	2	k	k	PROPN
ejpam-4280	202	3	p	p	NOUN
ejpam-4280	202	4	,	,	PUNCT
ejpam-4280	202	5	l	l	PROPN
ejpam-4280	202	6	p	p	NOUN
ejpam-4280	202	7	)	)	PUNCT
ejpam-4280	202	8	b(p	b(p	PROPN
ejpam-4280	202	9	,	,	PUNCT
ejpam-4280	202	10	k	k	X
ejpam-4280	202	11	,	,	PUNCT
ejpam-4280	202	12	f0(y))p	f0(y))p	PROPN
ejpam-4280	202	13	[	[	X
ejpam-4280	202	14	b(p−	b(p−	PROPN
ejpam-4280	202	15	1	1	NUM
ejpam-4280	202	16	,	,	PUNCT
ejpam-4280	202	17	l	l	NOUN
ejpam-4280	202	18	−	−	PROPN
ejpam-4280	202	19	1	1	NUM
ejpam-4280	202	20	,	,	PUNCT
ejpam-4280	202	21	f	f	PROPN
ejpam-4280	202	22	(	(	PUNCT
ejpam-4280	202	23	x))−b(p−	x))−b(p−	PROPN
ejpam-4280	202	24	1	1	NUM
ejpam-4280	202	25	,	,	PUNCT
ejpam-4280	202	26	l	l	NOUN
ejpam-4280	202	27	,	,	PUNCT
ejpam-4280	202	28	f	f	PROPN
ejpam-4280	202	29	(	(	PUNCT
ejpam-4280	202	30	x	x	NOUN
ejpam-4280	202	31	)	)	PUNCT
ejpam-4280	202	32	)	)	PUNCT
ejpam-4280	202	33	]	]	PUNCT
ejpam-4280	203	1	(	(	PUNCT
ejpam-4280	203	2	23	23	X
ejpam-4280	203	3	)	)	PUNCT
ejpam-4280	203	4	expanding	expand	VERB
ejpam-4280	203	5	and	and	CCONJ
ejpam-4280	203	6	simplifying	simplify	VERB
ejpam-4280	203	7	(	(	PUNCT
ejpam-4280	203	8	23	23	NUM
ejpam-4280	203	9	)	)	PUNCT
ejpam-4280	203	10	,	,	PUNCT
ejpam-4280	203	11	we	we	PRON
ejpam-4280	203	12	find	find	VERB
ejpam-4280	203	13	c̃p	c̃p	ADJ
ejpam-4280	203	14	,	,	PUNCT
ejpam-4280	203	15	n(f0(y	n(f0(y	PROPN
ejpam-4280	203	16	)	)	PUNCT
ejpam-4280	203	17	,	,	PUNCT
ejpam-4280	203	18	f	f	PROPN
ejpam-4280	203	19	(	(	PUNCT
ejpam-4280	203	20	x	x	NOUN
ejpam-4280	203	21	)	)	PUNCT
ejpam-4280	203	22	)	)	PUNCT
ejpam-4280	204	1	=	=	SYM
ejpam-4280	204	2	b	b	X
ejpam-4280	204	3	−d	−d	ADJ
ejpam-4280	204	4	;	;	PUNCT
ejpam-4280	204	5	(	(	PUNCT
ejpam-4280	204	6	24	24	NUM
ejpam-4280	204	7	)	)	PUNCT
ejpam-4280	204	8	where	where	SCONJ
ejpam-4280	204	9	b	b	X
ejpam-4280	204	10	=	=	SYM
ejpam-4280	204	11	p	p	X
ejpam-4280	204	12	(	(	PUNCT
ejpam-4280	204	13	1−	1−	NUM
ejpam-4280	204	14	f	f	X
ejpam-4280	204	15	(	(	PUNCT
ejpam-4280	204	16	x	x	X
ejpam-4280	204	17	)	)	PUNCT
ejpam-4280	204	18	1−	1−	NUM
ejpam-4280	204	19	f	f	X
ejpam-4280	204	20	(	(	PUNCT
ejpam-4280	204	21	x	x	NOUN
ejpam-4280	204	22	)	)	PUNCT
ejpam-4280	204	23	)	)	PUNCT
ejpam-4280	204	24	p∑	p∑	X
ejpam-4280	205	1	k=0	k=0	PROPN
ejpam-4280	205	2	p∑	p∑	X
ejpam-4280	206	1	l=0	l=0	PROPN
ejpam-4280	206	2	cn	cn	PROPN
ejpam-4280	206	3	(	(	PUNCT
ejpam-4280	206	4	k	k	PROPN
ejpam-4280	206	5	p	p	PROPN
ejpam-4280	206	6	,	,	PUNCT
ejpam-4280	206	7	l	l	PROPN
ejpam-4280	206	8	p	p	NOUN
ejpam-4280	206	9	)	)	PUNCT
ejpam-4280	207	1	b(p	b(p	PROPN
ejpam-4280	207	2	,	,	PUNCT
ejpam-4280	207	3	k	k	NOUN
ejpam-4280	207	4	,	,	PUNCT
ejpam-4280	207	5	f0(y))b(p−1	f0(y))b(p−1	PROPN
ejpam-4280	207	6	,	,	PUNCT
ejpam-4280	207	7	l−1	l−1	PROPN
ejpam-4280	207	8	,	,	PUNCT
ejpam-4280	207	9	f	f	PROPN
ejpam-4280	207	10	(	(	PUNCT
ejpam-4280	207	11	x))−b(p−1	x))−b(p−1	X
ejpam-4280	207	12	,	,	PUNCT
ejpam-4280	207	13	l	l	NOUN
ejpam-4280	207	14	,	,	PUNCT
ejpam-4280	207	15	f	f	PROPN
ejpam-4280	207	16	(	(	PUNCT
ejpam-4280	207	17	x	x	NOUN
ejpam-4280	207	18	)	)	PUNCT
ejpam-4280	207	19	)	)	PUNCT
ejpam-4280	207	20	;	;	PUNCT
ejpam-4280	207	21	and	and	CCONJ
ejpam-4280	207	22	d	d	X
ejpam-4280	207	23	=	=	SYM
ejpam-4280	207	24	f	f	PROPN
ejpam-4280	207	25	(	(	PUNCT
ejpam-4280	207	26	x	x	X
ejpam-4280	207	27	)	)	PUNCT
ejpam-4280	207	28	1−	1−	NUM
ejpam-4280	207	29	f	f	X
ejpam-4280	207	30	(	(	PUNCT
ejpam-4280	207	31	x	x	NOUN
ejpam-4280	207	32	)	)	PUNCT
ejpam-4280	207	33	p∑	p∑	X
ejpam-4280	208	1	k=0	k=0	PROPN
ejpam-4280	208	2	p∑	p∑	X
ejpam-4280	209	1	l=0	l=0	PROPN
ejpam-4280	209	2	lcn	lcn	PROPN
ejpam-4280	209	3	(	(	PUNCT
ejpam-4280	209	4	k	k	PROPN
ejpam-4280	209	5	p	p	PROPN
ejpam-4280	209	6	,	,	PUNCT
ejpam-4280	209	7	l	l	PROPN
ejpam-4280	209	8	p	p	NOUN
ejpam-4280	209	9	)	)	PUNCT
ejpam-4280	210	1	b(p	b(p	PROPN
ejpam-4280	210	2	,	,	PUNCT
ejpam-4280	210	3	k	k	PROPN
ejpam-4280	210	4	,	,	PUNCT
ejpam-4280	210	5	f0(y))b(p−	f0(y))b(p−	X
ejpam-4280	210	6	1	1	NUM
ejpam-4280	210	7	,	,	PUNCT
ejpam-4280	210	8	l	l	NOUN
ejpam-4280	210	9	−	−	PROPN
ejpam-4280	210	10	1	1	NUM
ejpam-4280	210	11	,	,	PUNCT
ejpam-4280	210	12	f	f	PROPN
ejpam-4280	210	13	(	(	PUNCT
ejpam-4280	210	14	x	x	NOUN
ejpam-4280	210	15	)	)	PUNCT
ejpam-4280	210	16	)	)	PUNCT
ejpam-4280	210	17	.	.	PUNCT
ejpam-4280	211	1	so	so	ADV
ejpam-4280	211	2	,	,	PUNCT
ejpam-4280	211	3	since	since	SCONJ
ejpam-4280	211	4	we	we	PRON
ejpam-4280	211	5	have	have	VERB
ejpam-4280	211	6	p∑	p∑	VERB
ejpam-4280	211	7	k=0	k=0	PROPN
ejpam-4280	211	8	p∑	p∑	X
ejpam-4280	212	1	l=0	l=0	PROPN
ejpam-4280	212	2	cn	cn	PROPN
ejpam-4280	212	3	(	(	PUNCT
ejpam-4280	212	4	k	k	PROPN
ejpam-4280	212	5	p	p	PROPN
ejpam-4280	212	6	,	,	PUNCT
ejpam-4280	212	7	l	l	PROPN
ejpam-4280	212	8	p	p	NOUN
ejpam-4280	212	9	)	)	PUNCT
ejpam-4280	213	1	b(p	b(p	PROPN
ejpam-4280	213	2	,	,	PUNCT
ejpam-4280	213	3	k	k	PROPN
ejpam-4280	213	4	,	,	PUNCT
ejpam-4280	213	5	f0(y))b(p−	f0(y))b(p−	X
ejpam-4280	213	6	1	1	NUM
ejpam-4280	213	7	,	,	PUNCT
ejpam-4280	213	8	l	l	NOUN
ejpam-4280	213	9	−	−	PROPN
ejpam-4280	213	10	1	1	NUM
ejpam-4280	213	11	,	,	PUNCT
ejpam-4280	213	12	f	f	PROPN
ejpam-4280	213	13	(	(	PUNCT
ejpam-4280	213	14	x	x	NOUN
ejpam-4280	213	15	)	)	PUNCT
ejpam-4280	213	16	)	)	PUNCT
ejpam-4280	214	1	=	=	PUNCT
ejpam-4280	214	2	1	1	NUM
ejpam-4280	214	3	f	f	X
ejpam-4280	214	4	(	(	PUNCT
ejpam-4280	214	5	x	x	X
ejpam-4280	214	6	)	)	PUNCT
ejpam-4280	214	7	cp	cp	PROPN
ejpam-4280	214	8	,	,	PUNCT
ejpam-4280	214	9	n(f0(y	n(f0(y	PROPN
ejpam-4280	214	10	)	)	PUNCT
ejpam-4280	214	11	,	,	PUNCT
ejpam-4280	214	12	f	f	PROPN
ejpam-4280	214	13	(	(	PUNCT
ejpam-4280	214	14	x	x	NOUN
ejpam-4280	214	15	)	)	PUNCT
ejpam-4280	214	16	)	)	PUNCT
ejpam-4280	214	17	;	;	PUNCT
ejpam-4280	214	18	then	then	ADV
ejpam-4280	214	19	,	,	PUNCT
ejpam-4280	214	20	it	it	PRON
ejpam-4280	214	21	comes	come	VERB
ejpam-4280	214	22	that	that	PRON
ejpam-4280	214	23	b	b	X
ejpam-4280	214	24	=	=	SYM
ejpam-4280	214	25	p	p	X
ejpam-4280	214	26	(	(	PUNCT
ejpam-4280	214	27	1−	1−	NUM
ejpam-4280	214	28	f	f	X
ejpam-4280	214	29	(	(	PUNCT
ejpam-4280	214	30	x	x	X
ejpam-4280	214	31	)	)	PUNCT
ejpam-4280	214	32	1−	1−	NUM
ejpam-4280	214	33	f	f	X
ejpam-4280	214	34	(	(	PUNCT
ejpam-4280	214	35	x	x	NOUN
ejpam-4280	214	36	)	)	PUNCT
ejpam-4280	214	37	)	)	PUNCT
ejpam-4280	214	38	1	1	NUM
ejpam-4280	214	39	f	f	X
ejpam-4280	214	40	(	(	PUNCT
ejpam-4280	214	41	x	x	X
ejpam-4280	214	42	)	)	PUNCT
ejpam-4280	214	43	cp	cp	PROPN
ejpam-4280	214	44	,	,	PUNCT
ejpam-4280	214	45	n(f0(y	n(f0(y	PROPN
ejpam-4280	214	46	)	)	PUNCT
ejpam-4280	214	47	,	,	PUNCT
ejpam-4280	214	48	f	f	PROPN
ejpam-4280	214	49	(	(	PUNCT
ejpam-4280	214	50	x	x	NOUN
ejpam-4280	214	51	)	)	PUNCT
ejpam-4280	214	52	)	)	PUNCT
ejpam-4280	214	53	k.	k.	PROPN
ejpam-4280	215	1	ouédraogo	ouédraogo	PROPN
ejpam-4280	215	2	,	,	PUNCT
ejpam-4280	215	3	d.	d.	PROPN
ejpam-4280	215	4	barro	barro	PROPN
ejpam-4280	215	5	/	/	SYM
ejpam-4280	215	6	eur	eur	PROPN
ejpam-4280	215	7	.	.	PUNCT
ejpam-4280	216	1	j.	j.	PROPN
ejpam-4280	216	2	pure	pure	PROPN
ejpam-4280	216	3	appl	appl	PROPN
ejpam-4280	216	4	.	.	PROPN
ejpam-4280	216	5	math	math	PROPN
ejpam-4280	216	6	,	,	PUNCT
ejpam-4280	216	7	15	15	NUM
ejpam-4280	216	8	(	(	PUNCT
ejpam-4280	216	9	4	4	NUM
ejpam-4280	216	10	)	)	PUNCT
ejpam-4280	216	11	(	(	PUNCT
ejpam-4280	216	12	2022	2022	NUM
ejpam-4280	216	13	)	)	PUNCT
ejpam-4280	216	14	,	,	PUNCT
ejpam-4280	216	15	2074	2074	NUM
ejpam-4280	216	16	-	-	SYM
ejpam-4280	216	17	2085	2085	NUM
ejpam-4280	216	18	2082	2082	NUM
ejpam-4280	216	19	and	and	CCONJ
ejpam-4280	216	20	d	d	NOUN
ejpam-4280	216	21	=	=	SYM
ejpam-4280	216	22	p(p+	p(p+	PROPN
ejpam-4280	216	23	1	1	NUM
ejpam-4280	216	24	)	)	PUNCT
ejpam-4280	217	1	2(1−	2(1−	NUM
ejpam-4280	217	2	f	f	X
ejpam-4280	217	3	(	(	PUNCT
ejpam-4280	217	4	x	x	NOUN
ejpam-4280	217	5	)	)	PUNCT
ejpam-4280	217	6	)	)	PUNCT
ejpam-4280	217	7	cp	cp	PROPN
ejpam-4280	217	8	,	,	PUNCT
ejpam-4280	217	9	n(f0(y	n(f0(y	PROPN
ejpam-4280	217	10	)	)	PUNCT
ejpam-4280	217	11	,	,	PUNCT
ejpam-4280	217	12	f	f	PROPN
ejpam-4280	217	13	(	(	PUNCT
ejpam-4280	217	14	x	x	NOUN
ejpam-4280	217	15	)	)	PUNCT
ejpam-4280	217	16	)	)	PUNCT
ejpam-4280	217	17	.	.	PUNCT
ejpam-4280	218	1	so	so	ADV
ejpam-4280	218	2	,	,	PUNCT
ejpam-4280	218	3	we	we	PRON
ejpam-4280	218	4	obtain	obtain	VERB
ejpam-4280	218	5	c̃p	c̃p	ADJ
ejpam-4280	218	6	,	,	PUNCT
ejpam-4280	218	7	n(f0(y	n(f0(y	PROPN
ejpam-4280	218	8	)	)	PUNCT
ejpam-4280	218	9	,	,	PUNCT
ejpam-4280	218	10	f	f	PROPN
ejpam-4280	218	11	(	(	PUNCT
ejpam-4280	218	12	x	x	NOUN
ejpam-4280	218	13	)	)	PUNCT
ejpam-4280	218	14	)	)	PUNCT
ejpam-4280	219	1	=	=	PUNCT
ejpam-4280	220	1	b	b	X
ejpam-4280	220	2	+	+	NOUN
ejpam-4280	220	3	d	d	PROPN
ejpam-4280	220	4	=	=	SYM
ejpam-4280	220	5	acp	acp	PROPN
ejpam-4280	220	6	,	,	PUNCT
ejpam-4280	220	7	n(f0(y	n(f0(y	PROPN
ejpam-4280	220	8	)	)	PUNCT
ejpam-4280	220	9	,	,	PUNCT
ejpam-4280	220	10	f	f	PROPN
ejpam-4280	220	11	(	(	PUNCT
ejpam-4280	220	12	x	x	NOUN
ejpam-4280	220	13	)	)	PUNCT
ejpam-4280	220	14	)	)	PUNCT
ejpam-4280	220	15	.	.	PUNCT
ejpam-4280	221	1	(	(	PUNCT
ejpam-4280	221	2	25	25	NUM
ejpam-4280	221	3	)	)	PUNCT
ejpam-4280	221	4	hence	hence	ADV
ejpam-4280	221	5	the	the	DET
ejpam-4280	221	6	value	value	NOUN
ejpam-4280	221	7	of	of	ADP
ejpam-4280	221	8	a	a	PRON
ejpam-4280	221	9	obtained	obtain	VERB
ejpam-4280	221	10	in	in	ADP
ejpam-4280	221	11	the	the	DET
ejpam-4280	221	12	previous	previous	ADJ
ejpam-4280	221	13	definition	definition	NOUN
ejpam-4280	221	14	.	.	PUNCT
ejpam-4280	222	1	using	use	VERB
ejpam-4280	222	2	the	the	DET
ejpam-4280	222	3	formula	formula	NOUN
ejpam-4280	222	4	γ(β(n	γ(β(n	PROPN
ejpam-4280	222	5	)	)	PUNCT
ejpam-4280	222	6	,	,	PUNCT
ejpam-4280	222	7	f	f	PROPN
ejpam-4280	222	8	(	(	PUNCT
ejpam-4280	222	9	x	x	NOUN
ejpam-4280	222	10	)	)	PUNCT
ejpam-4280	222	11	)	)	PUNCT
ejpam-4280	222	12	=	=	SYM
ejpam-4280	222	13	inf{f0(y	inf{f0(y	PROPN
ejpam-4280	222	14	)	)	PUNCT
ejpam-4280	222	15	|	|	ADV
ejpam-4280	222	16	c̃(f0(y	c̃(f0(y	X
ejpam-4280	222	17	)	)	PUNCT
ejpam-4280	222	18	,	,	PUNCT
ejpam-4280	222	19	f	f	PROPN
ejpam-4280	222	20	(	(	PUNCT
ejpam-4280	222	21	x	x	NOUN
ejpam-4280	222	22	)	)	PUNCT
ejpam-4280	222	23	)	)	PUNCT
ejpam-4280	223	1	=	=	PUNCT
ejpam-4280	223	2	βn	βn	ADJ
ejpam-4280	223	3	}	}	PUNCT
ejpam-4280	223	4	we	we	PRON
ejpam-4280	223	5	obtain	obtain	VERB
ejpam-4280	223	6	f0(y	f0(y	NOUN
ejpam-4280	223	7	)	)	PUNCT
ejpam-4280	223	8	=	=	SYM
ejpam-4280	224	1	c−1	c−1	PROPN
ejpam-4280	224	2	p	p	NOUN
ejpam-4280	224	3	,	,	PUNCT
ejpam-4280	224	4	n(βna	n(βna	NOUN
ejpam-4280	224	5	−1	−1	NOUN
ejpam-4280	224	6	,	,	PUNCT
ejpam-4280	224	7	f	f	PROPN
ejpam-4280	224	8	(	(	PUNCT
ejpam-4280	224	9	x	x	NOUN
ejpam-4280	224	10	)	)	PUNCT
ejpam-4280	224	11	)	)	PUNCT
ejpam-4280	224	12	.	.	PUNCT
ejpam-4280	225	1	(	(	PUNCT
ejpam-4280	225	2	26	26	NUM
ejpam-4280	225	3	)	)	PUNCT
ejpam-4280	225	4	moreoer	moreoer	NOUN
ejpam-4280	225	5	by	by	ADP
ejpam-4280	225	6	inversion	inversion	NOUN
ejpam-4280	225	7	of	of	ADP
ejpam-4280	225	8	f0	f0	PROPN
ejpam-4280	225	9	we	we	PRON
ejpam-4280	225	10	obtain	obtain	VERB
ejpam-4280	225	11	:	:	PUNCT
ejpam-4280	225	12	y	y	PROPN
ejpam-4280	225	13	=	=	SYM
ejpam-4280	225	14	f−1	f−1	PROPN
ejpam-4280	225	15	0	0	PUNCT
ejpam-4280	226	1	(	(	PUNCT
ejpam-4280	226	2	c−1	c−1	PROPN
ejpam-4280	226	3	p	p	NOUN
ejpam-4280	226	4	,	,	PUNCT
ejpam-4280	226	5	n(βna	n(βna	NOUN
ejpam-4280	226	6	−1	−1	NOUN
ejpam-4280	226	7	,	,	PUNCT
ejpam-4280	226	8	f	f	PROPN
ejpam-4280	226	9	(	(	PUNCT
ejpam-4280	226	10	x	x	NOUN
ejpam-4280	226	11	)	)	PUNCT
ejpam-4280	226	12	)	)	PUNCT
ejpam-4280	226	13	)	)	PUNCT
ejpam-4280	226	14	(	(	PUNCT
ejpam-4280	226	15	27	27	NUM
ejpam-4280	226	16	)	)	PUNCT
ejpam-4280	226	17	hence	hence	ADV
ejpam-4280	226	18	the	the	DET
ejpam-4280	226	19	value	value	NOUN
ejpam-4280	226	20	of	of	ADP
ejpam-4280	226	21	the	the	DET
ejpam-4280	226	22	conditional	conditional	ADJ
ejpam-4280	226	23	quantile	quantile	NOUN
ejpam-4280	226	24	intermediate	intermediate	NOUN
ejpam-4280	226	25	let	let	VERB
ejpam-4280	226	26	us	we	PRON
ejpam-4280	226	27	make	make	VERB
ejpam-4280	226	28	the	the	DET
ejpam-4280	226	29	following	follow	VERB
ejpam-4280	226	30	assumption	assumption	NOUN
ejpam-4280	226	31	.	.	PUNCT
ejpam-4280	227	1	hypothesis	hypothesis	NOUN
ejpam-4280	227	2	1	1	NUM
ejpam-4280	227	3	.	.	PUNCT
ejpam-4280	228	1	we	we	PRON
ejpam-4280	228	2	assume	assume	VERB
ejpam-4280	228	3	that	that	SCONJ
ejpam-4280	228	4	the	the	DET
ejpam-4280	228	5	index	index	NOUN
ejpam-4280	228	6	of	of	ADP
ejpam-4280	228	7	the	the	DET
ejpam-4280	228	8	extreme	extreme	ADJ
ejpam-4280	228	9	values	value	NOUN
ejpam-4280	228	10	γ	γ	NOUN
ejpam-4280	228	11	of	of	ADP
ejpam-4280	228	12	the	the	DET
ejpam-4280	228	13	conditional	conditional	ADJ
ejpam-4280	228	14	quantile	quantile	NOUN
ejpam-4280	228	15	is	be	AUX
ejpam-4280	228	16	a	a	DET
ejpam-4280	228	17	constant	constant	ADJ
ejpam-4280	228	18	and	and	CCONJ
ejpam-4280	228	19	consequently	consequently	ADV
ejpam-4280	228	20	does	do	AUX
ejpam-4280	228	21	not	not	PART
ejpam-4280	228	22	depend	depend	VERB
ejpam-4280	228	23	on	on	ADP
ejpam-4280	228	24	the	the	DET
ejpam-4280	228	25	covariate	covariate	NOUN
ejpam-4280	228	26	x	x	NOUN
ejpam-4280	228	27	proposition	proposition	NOUN
ejpam-4280	228	28	3	3	NUM
ejpam-4280	228	29	.	.	PUNCT
ejpam-4280	228	30	consider	consider	VERB
ejpam-4280	228	31	a	a	DET
ejpam-4280	228	32	sample	sample	NOUN
ejpam-4280	228	33	of	of	ADP
ejpam-4280	228	34	n	n	DET
ejpam-4280	228	35	random	random	ADJ
ejpam-4280	228	36	variables	variable	NOUN
ejpam-4280	228	37	for	for	ADP
ejpam-4280	228	38	the	the	DET
ejpam-4280	228	39	response	response	NOUN
ejpam-4280	228	40	variable	variable	NOUN
ejpam-4280	228	41	(	(	PUNCT
ejpam-4280	228	42	y1	y1	PROPN
ejpam-4280	228	43	,	,	PUNCT
ejpam-4280	228	44	x1	x1	PROPN
ejpam-4280	228	45	)	)	PUNCT
ejpam-4280	228	46	,	,	PUNCT
ejpam-4280	228	47	(	(	PUNCT
ejpam-4280	228	48	y2	y2	INTJ
ejpam-4280	228	49	,	,	PUNCT
ejpam-4280	228	50	x2	x2	PROPN
ejpam-4280	228	51	)	)	PUNCT
ejpam-4280	228	52	,	,	PUNCT
ejpam-4280	228	53	...	...	PUNCT
ejpam-4280	228	54	,	,	PUNCT
ejpam-4280	228	55	(	(	PUNCT
ejpam-4280	228	56	yn	yn	INTJ
ejpam-4280	228	57	,	,	PUNCT
ejpam-4280	228	58	xn	xn	PROPN
ejpam-4280	228	59	)	)	PUNCT
ejpam-4280	228	60	.	.	PUNCT
ejpam-4280	229	1	let	let	VERB
ejpam-4280	229	2	αn	αn	NOUN
ejpam-4280	229	3	be	be	AUX
ejpam-4280	229	4	defined	define	VERB
ejpam-4280	229	5	such	such	ADJ
ejpam-4280	229	6	that	that	DET
ejpam-4280	229	7	αn	αn	NOUN
ejpam-4280	229	8	→	→	SYM
ejpam-4280	229	9	1	1	NUM
ejpam-4280	229	10	and	and	CCONJ
ejpam-4280	229	11	n(1−αn	n(1−αn	PROPN
ejpam-4280	229	12	)	)	PUNCT
ejpam-4280	229	13	→	→	PUNCT
ejpam-4280	229	14	k	k	X
ejpam-4280	229	15	where	where	SCONJ
ejpam-4280	229	16	k	k	PROPN
ejpam-4280	229	17	is	be	AUX
ejpam-4280	229	18	a	a	DET
ejpam-4280	229	19	constant	constant	ADJ
ejpam-4280	229	20	.	.	PUNCT
ejpam-4280	230	1	the	the	DET
ejpam-4280	230	2	nonparametric	nonparametric	NOUN
ejpam-4280	230	3	estimator	estimator	NOUN
ejpam-4280	230	4	of	of	ADP
ejpam-4280	230	5	the	the	DET
ejpam-4280	230	6	extreme	extreme	ADJ
ejpam-4280	230	7	conditional	conditional	ADJ
ejpam-4280	230	8	quantile	quantile	NOUN
ejpam-4280	230	9	of	of	ADP
ejpam-4280	230	10	order	order	NOUN
ejpam-4280	230	11	αn	αn	NOUN
ejpam-4280	230	12	is	be	AUX
ejpam-4280	230	13	defined	define	VERB
ejpam-4280	230	14	by	by	ADP
ejpam-4280	230	15	q̂y	q̂y	PROPN
ejpam-4280	230	16	(	(	PUNCT
ejpam-4280	230	17	αn	αn	INTJ
ejpam-4280	231	1	|	|	ADV
ejpam-4280	231	2	x	x	NOUN
ejpam-4280	231	3	=	=	SYM
ejpam-4280	231	4	x	x	X
ejpam-4280	231	5	)	)	PUNCT
ejpam-4280	231	6	=	=	SYM
ejpam-4280	232	1	(	(	PUNCT
ejpam-4280	232	2	1−	1−	NUM
ejpam-4280	232	3	αn	αn	NOUN
ejpam-4280	232	4	1−	1−	NUM
ejpam-4280	232	5	βn	βn	NOUN
ejpam-4280	232	6	)	)	PUNCT
ejpam-4280	233	1	γf0	γf0	NOUN
ejpam-4280	233	2	f−1	f−1	PROPN
ejpam-4280	233	3	0	0	PUNCT
ejpam-4280	234	1	{	{	PUNCT
ejpam-4280	234	2	c−1	c−1	PROPN
ejpam-4280	234	3	p	p	PROPN
ejpam-4280	234	4	,	,	PUNCT
ejpam-4280	234	5	n	n	PROPN
ejpam-4280	234	6	(	(	PUNCT
ejpam-4280	234	7	−βna	−βna	NOUN
ejpam-4280	234	8	−1	−1	NOUN
ejpam-4280	234	9	,	,	PUNCT
ejpam-4280	234	10	fn(x	fn(x	X
ejpam-4280	234	11	)	)	PUNCT
ejpam-4280	234	12	)	)	PUNCT
ejpam-4280	234	13	}	}	PUNCT
ejpam-4280	234	14	(	(	PUNCT
ejpam-4280	234	15	28	28	NUM
ejpam-4280	234	16	)	)	PUNCT
ejpam-4280	234	17	where	where	SCONJ
ejpam-4280	234	18	γf0	γf0	PROPN
ejpam-4280	234	19	is	be	AUX
ejpam-4280	234	20	hill	hill	NOUN
ejpam-4280	234	21	estimator	estimator	NOUN
ejpam-4280	234	22	define	define	VERB
ejpam-4280	234	23	by	by	ADP
ejpam-4280	234	24	γf0	γf0	PROPN
ejpam-4280	234	25	=	=	PUNCT
ejpam-4280	235	1	1	1	NUM
ejpam-4280	235	2	k	k	PROPN
ejpam-4280	235	3	∑n	∑n	PROPN
ejpam-4280	235	4	k=0	k=0	PROPN
ejpam-4280	235	5	log(yn−i	log(yn−i	PROPN
ejpam-4280	235	6	,	,	PUNCT
ejpam-4280	235	7	n)−	n)−	PROPN
ejpam-4280	235	8	log(yn−k	log(yn−k	PROPN
ejpam-4280	235	9	,	,	PUNCT
ejpam-4280	235	10	n	n	CCONJ
ejpam-4280	235	11	)	)	PUNCT
ejpam-4280	235	12	.	.	PUNCT
ejpam-4280	236	1	3.3	3.3	NUM
ejpam-4280	236	2	.	.	PUNCT
ejpam-4280	237	1	asymptotic	asymptotic	ADJ
ejpam-4280	237	2	results	result	NOUN
ejpam-4280	237	3	in	in	ADP
ejpam-4280	237	4	this	this	DET
ejpam-4280	237	5	section	section	NOUN
ejpam-4280	237	6	,	,	PUNCT
ejpam-4280	237	7	we	we	PRON
ejpam-4280	237	8	establish	establish	VERB
ejpam-4280	237	9	the	the	DET
ejpam-4280	237	10	limiting	limit	VERB
ejpam-4280	237	11	behaviour	behaviour	NOUN
ejpam-4280	237	12	of	of	ADP
ejpam-4280	237	13	our	our	PRON
ejpam-4280	237	14	different	different	ADJ
ejpam-4280	237	15	estimators	estimator	NOUN
ejpam-4280	237	16	.	.	PUNCT
ejpam-4280	238	1	proposition	proposition	NOUN
ejpam-4280	238	2	4	4	NUM
ejpam-4280	238	3	.	.	PUNCT
ejpam-4280	239	1	assuming	assume	VERB
ejpam-4280	239	2	the	the	DET
ejpam-4280	239	3	conditions	condition	NOUN
ejpam-4280	239	4	of	of	ADP
ejpam-4280	239	5	theorem	theorem	NOUN
ejpam-4280	239	6	2	2	NUM
ejpam-4280	239	7	in	in	ADP
ejpam-4280	239	8	[	[	X
ejpam-4280	239	9	19	19	NUM
ejpam-4280	239	10	]	]	PUNCT
ejpam-4280	239	11	are	be	AUX
ejpam-4280	239	12	satisfied	satisfied	ADJ
ejpam-4280	239	13	•	•	NOUN
ejpam-4280	239	14	if	if	SCONJ
ejpam-4280	239	15	√	√	PROPN
ejpam-4280	239	16	n	n	PRON
ejpam-4280	239	17	p	p	X
ejpam-4280	239	18	→	→	SYM
ejpam-4280	239	19	0	0	NUM
ejpam-4280	239	20	then	then	ADV
ejpam-4280	239	21	for	for	ADP
ejpam-4280	239	22	all	all	DET
ejpam-4280	239	23	(	(	PUNCT
ejpam-4280	239	24	u	u	NOUN
ejpam-4280	239	25	,	,	PUNCT
ejpam-4280	239	26	v	v	NOUN
ejpam-4280	239	27	)	)	PUNCT
ejpam-4280	239	28	∈	∈	PROPN
ejpam-4280	240	1	[	[	X
ejpam-4280	240	2	0	0	NUM
ejpam-4280	240	3	;	;	PUNCT
ejpam-4280	240	4	1]2	1]2	NUM
ejpam-4280	241	1	√	√	PROPN
ejpam-4280	241	2	na(c̃p	na(c̃p	PROPN
ejpam-4280	241	3	,	,	PUNCT
ejpam-4280	241	4	n(u	n(u	PROPN
ejpam-4280	241	5	,	,	PUNCT
ejpam-4280	241	6	v)−	v)−	PROPN
ejpam-4280	241	7	c(u	c(u	PROPN
ejpam-4280	241	8	,	,	PUNCT
ejpam-4280	241	9	v	v	NOUN
ejpam-4280	241	10	)	)	PUNCT
ejpam-4280	241	11	)	)	PUNCT
ejpam-4280	242	1	−→d	−→d	PROPN
ejpam-4280	242	2	n(0	n(0	PROPN
ejpam-4280	242	3	,	,	PUNCT
ejpam-4280	242	4	a2σ2(u	a2σ2(u	NOUN
ejpam-4280	242	5	,	,	PUNCT
ejpam-4280	242	6	v	v	NOUN
ejpam-4280	242	7	)	)	PUNCT
ejpam-4280	242	8	)	)	PUNCT
ejpam-4280	242	9	.	.	PUNCT
ejpam-4280	243	1	•	•	INTJ
ejpam-4280	244	1	if	if	SCONJ
ejpam-4280	244	2	√	√	NUM
ejpam-4280	244	3	n	n	PRON
ejpam-4280	244	4	p	p	X
ejpam-4280	244	5	→	→	X
ejpam-4280	244	6	d	d	X
ejpam-4280	244	7	avec	avec	X
ejpam-4280	244	8	0	0	PUNCT
ejpam-4280	244	9	<	<	X
ejpam-4280	244	10	d	d	X
ejpam-4280	244	11	<	<	X
ejpam-4280	244	12	∞	∞	PROPN
ejpam-4280	244	13	alors	alors	X
ejpam-4280	244	14	pour	pour	X
ejpam-4280	244	15	tout	tout	PROPN
ejpam-4280	244	16	(	(	PUNCT
ejpam-4280	244	17	u	u	NOUN
ejpam-4280	244	18	,	,	PUNCT
ejpam-4280	244	19	v	v	NOUN
ejpam-4280	244	20	)	)	PUNCT
ejpam-4280	244	21	∈	∈	PROPN
ejpam-4280	245	1	[	[	X
ejpam-4280	245	2	0	0	NUM
ejpam-4280	245	3	;	;	PUNCT
ejpam-4280	245	4	1]2	1]2	NUM
ejpam-4280	246	1	√	√	PROPN
ejpam-4280	246	2	na(c̃p	na(c̃p	PROPN
ejpam-4280	246	3	,	,	PUNCT
ejpam-4280	246	4	n(u	n(u	PROPN
ejpam-4280	246	5	,	,	PUNCT
ejpam-4280	246	6	v)−	v)−	PROPN
ejpam-4280	246	7	c(u	c(u	PROPN
ejpam-4280	246	8	,	,	PUNCT
ejpam-4280	246	9	v	v	NOUN
ejpam-4280	246	10	)	)	PUNCT
ejpam-4280	246	11	)	)	PUNCT
ejpam-4280	247	1	−→d	−→d	PROPN
ejpam-4280	247	2	n(db(u	n(db(u	PROPN
ejpam-4280	247	3	,	,	PUNCT
ejpam-4280	247	4	v	v	NOUN
ejpam-4280	247	5	)	)	PUNCT
ejpam-4280	247	6	,	,	PUNCT
ejpam-4280	247	7	a2σ2(u	a2σ2(u	PROPN
ejpam-4280	247	8	,	,	PUNCT
ejpam-4280	247	9	v	v	NOUN
ejpam-4280	247	10	)	)	PUNCT
ejpam-4280	247	11	)	)	PUNCT
ejpam-4280	247	12	;	;	PUNCT
ejpam-4280	247	13	references	reference	NOUN
ejpam-4280	247	14	2083	2083	NUM
ejpam-4280	247	15	with	with	ADP
ejpam-4280	247	16	σ2(u	σ2(u	PROPN
ejpam-4280	247	17	,	,	PUNCT
ejpam-4280	247	18	v	v	NOUN
ejpam-4280	247	19	)	)	PUNCT
ejpam-4280	247	20	=	=	SYM
ejpam-4280	247	21	c(u	c(u	PROPN
ejpam-4280	247	22	,	,	PUNCT
ejpam-4280	247	23	v)(1−	v)(1−	PROPN
ejpam-4280	247	24	c(u	c(u	PROPN
ejpam-4280	247	25	,	,	PUNCT
ejpam-4280	247	26	v	v	NOUN
ejpam-4280	247	27	)	)	PUNCT
ejpam-4280	247	28	)	)	PUNCT
ejpam-4280	248	1	+	+	CCONJ
ejpam-4280	248	2	u(1−	u(1−	PROPN
ejpam-4280	248	3	u)c2	u)c2	PROPN
ejpam-4280	248	4	u(u	u(u	PROPN
ejpam-4280	248	5	,	,	PUNCT
ejpam-4280	248	6	v	v	NOUN
ejpam-4280	248	7	)	)	PUNCT
ejpam-4280	248	8	+	+	NUM
ejpam-4280	248	9	v(1−	v(1−	PROPN
ejpam-4280	248	10	v)c2	v)c2	PROPN
ejpam-4280	248	11	v	v	NOUN
ejpam-4280	248	12	(	(	PUNCT
ejpam-4280	248	13	u	u	NOUN
ejpam-4280	248	14	,	,	PUNCT
ejpam-4280	248	15	v)(29	v)(29	PROPN
ejpam-4280	248	16	)	)	PUNCT
ejpam-4280	248	17	-2(1−	-2(1−	PUNCT
ejpam-4280	248	18	u)c(u	u)c(u	NOUN
ejpam-4280	248	19	,	,	PUNCT
ejpam-4280	248	20	v)cu(u	v)cu(u	NOUN
ejpam-4280	248	21	,	,	PUNCT
ejpam-4280	248	22	v	v	NOUN
ejpam-4280	248	23	)	)	PUNCT
ejpam-4280	248	24	−2(1−	−2(1−	PROPN
ejpam-4280	248	25	v)c(u	v)c(u	PROPN
ejpam-4280	248	26	,	,	PUNCT
ejpam-4280	248	27	v)cv(u	v)cv(u	NOUN
ejpam-4280	248	28	,	,	PUNCT
ejpam-4280	248	29	v	v	NOUN
ejpam-4280	248	30	)	)	PUNCT
ejpam-4280	248	31	+2cu(u	+2cu(u	NOUN
ejpam-4280	248	32	,	,	PUNCT
ejpam-4280	248	33	v)cv(u	v)cv(u	NOUN
ejpam-4280	248	34	,	,	PUNCT
ejpam-4280	248	35	v	v	NOUN
ejpam-4280	248	36	)	)	PUNCT
ejpam-4280	249	1	[	[	X
ejpam-4280	249	2	c(u	c(u	PROPN
ejpam-4280	249	3	,	,	PUNCT
ejpam-4280	249	4	v)−	v)−	PROPN
ejpam-4280	249	5	uv	uv	NOUN
ejpam-4280	249	6	]	]	PUNCT
ejpam-4280	249	7	and	and	CCONJ
ejpam-4280	249	8	b(u	b(u	PROPN
ejpam-4280	249	9	,	,	PUNCT
ejpam-4280	249	10	v	v	NOUN
ejpam-4280	249	11	)	)	PUNCT
ejpam-4280	249	12	=	=	SYM
ejpam-4280	249	13	1	1	NUM
ejpam-4280	249	14	2	2	NUM
ejpam-4280	249	15	[	[	X
ejpam-4280	249	16	u(1−	u(1−	ADJ
ejpam-4280	249	17	u)cuu(u	u)cuu(u	SYM
ejpam-4280	249	18	,	,	PUNCT
ejpam-4280	249	19	v	v	NOUN
ejpam-4280	249	20	)	)	PUNCT
ejpam-4280	249	21	+	+	CCONJ
ejpam-4280	249	22	v(1−	v(1−	PROPN
ejpam-4280	249	23	v)cvv(u	v)cvv(u	NOUN
ejpam-4280	249	24	,	,	PUNCT
ejpam-4280	249	25	v	v	NOUN
ejpam-4280	249	26	)	)	PUNCT
ejpam-4280	249	27	]	]	PUNCT
ejpam-4280	249	28	where	where	SCONJ
ejpam-4280	249	29	cuu	cuu	PROPN
ejpam-4280	249	30	=	=	SYM
ejpam-4280	249	31	∂2	∂2	PROPN
ejpam-4280	249	32	∂u2	∂u2	PROPN
ejpam-4280	249	33	c(u	c(u	PROPN
ejpam-4280	249	34	,	,	PUNCT
ejpam-4280	249	35	v	v	NOUN
ejpam-4280	249	36	)	)	PUNCT
ejpam-4280	249	37	and	and	CCONJ
ejpam-4280	249	38	cu	cu	PROPN
ejpam-4280	249	39	=	=	SYM
ejpam-4280	249	40	∂	∂	NUM
ejpam-4280	249	41	∂u	∂u	PROPN
ejpam-4280	249	42	c(u	c(u	PROPN
ejpam-4280	249	43	,	,	PUNCT
ejpam-4280	249	44	v	v	NOUN
ejpam-4280	249	45	)	)	PUNCT
ejpam-4280	249	46	proof	proof	NOUN
ejpam-4280	249	47	.	.	PUNCT
ejpam-4280	250	1	according	accord	VERB
ejpam-4280	250	2	to	to	ADP
ejpam-4280	250	3	the	the	DET
ejpam-4280	250	4	theorem	theorem	ADJ
ejpam-4280	250	5	2	2	NUM
ejpam-4280	250	6	of	of	ADP
ejpam-4280	250	7	[	[	X
ejpam-4280	250	8	19	19	NUM
ejpam-4280	250	9	]	]	PUNCT
ejpam-4280	250	10	,	,	PUNCT
ejpam-4280	250	11	we	we	PRON
ejpam-4280	250	12	have	have	VERB
ejpam-4280	250	13	•	•	NOUN
ejpam-4280	250	14	if	if	SCONJ
ejpam-4280	250	15	√	√	PROPN
ejpam-4280	250	16	n	n	PRON
ejpam-4280	250	17	p	p	X
ejpam-4280	250	18	→	→	SYM
ejpam-4280	250	19	0	0	NUM
ejpam-4280	250	20	then	then	ADV
ejpam-4280	250	21	for	for	ADP
ejpam-4280	250	22	all	all	DET
ejpam-4280	250	23	(	(	PUNCT
ejpam-4280	250	24	u	u	NOUN
ejpam-4280	250	25	,	,	PUNCT
ejpam-4280	250	26	v	v	NOUN
ejpam-4280	250	27	)	)	PUNCT
ejpam-4280	250	28	∈	∈	PROPN
ejpam-4280	251	1	[	[	X
ejpam-4280	251	2	0	0	NUM
ejpam-4280	251	3	;	;	PUNCT
ejpam-4280	251	4	1]2	1]2	NUM
ejpam-4280	251	5	√	√	VERB
ejpam-4280	251	6	n(cp	n(cp	PROPN
ejpam-4280	251	7	,	,	PUNCT
ejpam-4280	251	8	n(u	n(u	PROPN
ejpam-4280	251	9	,	,	PUNCT
ejpam-4280	251	10	v)−	v)−	PROPN
ejpam-4280	251	11	c(u	c(u	PROPN
ejpam-4280	251	12	,	,	PUNCT
ejpam-4280	251	13	v	v	NOUN
ejpam-4280	251	14	)	)	PUNCT
ejpam-4280	251	15	)	)	PUNCT
ejpam-4280	252	1	−→d	−→d	PROPN
ejpam-4280	252	2	n(0	n(0	PROPN
ejpam-4280	252	3	,	,	PUNCT
ejpam-4280	252	4	σ2(u	σ2(u	PROPN
ejpam-4280	252	5	,	,	PUNCT
ejpam-4280	252	6	v	v	NOUN
ejpam-4280	252	7	)	)	PUNCT
ejpam-4280	252	8	)	)	PUNCT
ejpam-4280	253	1	we	we	PRON
ejpam-4280	253	2	deduce	deduce	VERB
ejpam-4280	253	3	the	the	DET
ejpam-4280	253	4	precedent	precedent	NOUN
ejpam-4280	253	5	result	result	VERB
ejpam-4280	253	6	•	•	ADP
ejpam-4280	253	7	if	if	SCONJ
ejpam-4280	253	8	√	√	PROPN
ejpam-4280	253	9	n	n	PRON
ejpam-4280	253	10	p	p	X
ejpam-4280	253	11	→	→	X
ejpam-4280	253	12	d	d	X
ejpam-4280	253	13	avec	avec	X
ejpam-4280	253	14	0	0	PUNCT
ejpam-4280	253	15	<	<	X
ejpam-4280	253	16	d	d	X
ejpam-4280	253	17	<	<	X
ejpam-4280	253	18	∞	∞	PROPN
ejpam-4280	253	19	alors	alors	X
ejpam-4280	253	20	pour	pour	X
ejpam-4280	253	21	tout	tout	PROPN
ejpam-4280	253	22	(	(	PUNCT
ejpam-4280	253	23	u	u	NOUN
ejpam-4280	253	24	,	,	PUNCT
ejpam-4280	253	25	v	v	NOUN
ejpam-4280	253	26	)	)	PUNCT
ejpam-4280	253	27	∈	∈	PROPN
ejpam-4280	254	1	[	[	X
ejpam-4280	254	2	0	0	NUM
ejpam-4280	254	3	;	;	PUNCT
ejpam-4280	254	4	1]2	1]2	NUM
ejpam-4280	254	5	√	√	VERB
ejpam-4280	254	6	n(cp	n(cp	PROPN
ejpam-4280	254	7	,	,	PUNCT
ejpam-4280	254	8	n(u	n(u	PROPN
ejpam-4280	254	9	,	,	PUNCT
ejpam-4280	254	10	v)−	v)−	PROPN
ejpam-4280	254	11	c(u	c(u	PROPN
ejpam-4280	254	12	,	,	PUNCT
ejpam-4280	254	13	v	v	NOUN
ejpam-4280	254	14	)	)	PUNCT
ejpam-4280	254	15	)	)	PUNCT
ejpam-4280	255	1	−→d	−→d	PROPN
ejpam-4280	255	2	n(db(u	n(db(u	PROPN
ejpam-4280	255	3	,	,	PUNCT
ejpam-4280	255	4	v	v	NOUN
ejpam-4280	255	5	)	)	PUNCT
ejpam-4280	255	6	,	,	PUNCT
ejpam-4280	255	7	σ2(u	σ2(u	PROPN
ejpam-4280	255	8	,	,	PUNCT
ejpam-4280	255	9	v	v	NOUN
ejpam-4280	255	10	)	)	PUNCT
ejpam-4280	255	11	)	)	PUNCT
ejpam-4280	255	12	,	,	PUNCT
ejpam-4280	255	13	we	we	PRON
ejpam-4280	255	14	also	also	ADV
ejpam-4280	255	15	deduce	deduce	VERB
ejpam-4280	255	16	the	the	DET
ejpam-4280	255	17	second	second	ADJ
ejpam-4280	255	18	result	result	NOUN
ejpam-4280	255	19	4	4	NUM
ejpam-4280	255	20	.	.	X
ejpam-4280	255	21	conclusion	conclusion	NOUN
ejpam-4280	255	22	this	this	DET
ejpam-4280	255	23	paper	paper	NOUN
ejpam-4280	255	24	allowed	allow	VERB
ejpam-4280	255	25	us	we	PRON
ejpam-4280	255	26	to	to	PART
ejpam-4280	255	27	propose	propose	VERB
ejpam-4280	255	28	a	a	DET
ejpam-4280	255	29	new	new	ADJ
ejpam-4280	255	30	approach	approach	NOUN
ejpam-4280	255	31	while	while	SCONJ
ejpam-4280	255	32	estimating	estimate	VERB
ejpam-4280	255	33	the	the	DET
ejpam-4280	255	34	extreme	extreme	ADJ
ejpam-4280	255	35	value	value	NOUN
ejpam-4280	255	36	at	at	ADP
ejpam-4280	255	37	risk	risk	NOUN
ejpam-4280	255	38	for	for	ADP
ejpam-4280	255	39	heavy	heavy	ADJ
ejpam-4280	255	40	-	-	PUNCT
ejpam-4280	255	41	tailed	tail	VERB
ejpam-4280	255	42	distribution	distribution	NOUN
ejpam-4280	255	43	using	use	VERB
ejpam-4280	255	44	the	the	DET
ejpam-4280	255	45	associated	associated	ADJ
ejpam-4280	255	46	copula	copula	NOUN
ejpam-4280	255	47	which	which	PRON
ejpam-4280	255	48	by	by	ADP
ejpam-4280	255	49	taking	take	VERB
ejpam-4280	255	50	into	into	ADP
ejpam-4280	255	51	account	account	NOUN
ejpam-4280	255	52	the	the	DET
ejpam-4280	255	53	effects	effect	NOUN
ejpam-4280	255	54	of	of	ADP
ejpam-4280	255	55	certain	certain	ADJ
ejpam-4280	255	56	covariates	covariate	NOUN
ejpam-4280	255	57	on	on	ADP
ejpam-4280	255	58	the	the	DET
ejpam-4280	255	59	variable	variable	NOUN
ejpam-4280	255	60	of	of	ADP
ejpam-4280	255	61	interest	interest	NOUN
ejpam-4280	255	62	.	.	PUNCT
ejpam-4280	256	1	so	so	ADV
ejpam-4280	256	2	,	,	PUNCT
ejpam-4280	256	3	the	the	DET
ejpam-4280	256	4	extreme	extreme	ADJ
ejpam-4280	256	5	conditional	conditional	ADJ
ejpam-4280	256	6	quantiles	quantile	NOUN
ejpam-4280	256	7	have	have	AUX
ejpam-4280	256	8	been	be	AUX
ejpam-4280	256	9	estimated	estimate	VERB
ejpam-4280	256	10	for	for	ADP
ejpam-4280	256	11	this	this	DET
ejpam-4280	256	12	subfamily	subfamily	NOUN
ejpam-4280	256	13	of	of	ADP
ejpam-4280	256	14	distributions	distribution	NOUN
ejpam-4280	256	15	.	.	PUNCT
ejpam-4280	257	1	the	the	DET
ejpam-4280	257	2	model	model	NOUN
ejpam-4280	257	3	of	of	ADP
ejpam-4280	257	4	bernstein	bernstein	PROPN
ejpam-4280	257	5	copulas	copula	NOUN
ejpam-4280	257	6	made	make	VERB
ejpam-4280	257	7	it	it	PRON
ejpam-4280	257	8	possible	possible	ADJ
ejpam-4280	257	9	to	to	PART
ejpam-4280	257	10	estimate	estimate	VERB
ejpam-4280	257	11	the	the	DET
ejpam-4280	257	12	intermediate	intermediate	ADJ
ejpam-4280	257	13	conditional	conditional	ADJ
ejpam-4280	257	14	quantile	quantile	NOUN
ejpam-4280	257	15	.	.	PUNCT
ejpam-4280	258	1	then	then	ADV
ejpam-4280	258	2	,	,	PUNCT
ejpam-4280	258	3	the	the	DET
ejpam-4280	258	4	extreme	extreme	ADJ
ejpam-4280	258	5	conditional	conditional	ADJ
ejpam-4280	258	6	quantile	quantile	NOUN
ejpam-4280	258	7	have	have	AUX
ejpam-4280	258	8	been	be	AUX
ejpam-4280	258	9	estimated	estimate	VERB
ejpam-4280	258	10	and	and	CCONJ
ejpam-4280	258	11	we	we	PRON
ejpam-4280	258	12	provided	provide	VERB
ejpam-4280	258	13	the	the	DET
ejpam-4280	258	14	asymptotic	asymptotic	ADJ
ejpam-4280	258	15	properties	property	NOUN
ejpam-4280	258	16	of	of	ADP
ejpam-4280	258	17	this	this	DET
ejpam-4280	258	18	estimator	estimator	NOUN
ejpam-4280	258	19	.	.	PUNCT
ejpam-4280	259	1	references	reference	NOUN
ejpam-4280	259	2	[	[	X
ejpam-4280	259	3	1	1	NUM
ejpam-4280	259	4	]	]	X
ejpam-4280	259	5	beirlant	beirlant	ADJ
ejpam-4280	259	6	,	,	PUNCT
ejpam-4280	259	7	j.	j.	PROPN
ejpam-4280	259	8	,	,	PUNCT
ejpam-4280	259	9	&	&	CCONJ
ejpam-4280	259	10	goegebeur	goegebeur	PROPN
ejpam-4280	259	11	,	,	PUNCT
ejpam-4280	259	12	y.	y.	PROPN
ejpam-4280	259	13	local	local	ADJ
ejpam-4280	259	14	polynomial	polynomial	ADJ
ejpam-4280	259	15	maximum	maximum	ADJ
ejpam-4280	259	16	likelihood	likelihood	NOUN
ejpam-4280	259	17	estimation	estimation	NOUN
ejpam-4280	259	18	for	for	ADP
ejpam-4280	259	19	pareto	pareto	NOUN
ejpam-4280	259	20	-	-	PUNCT
ejpam-4280	259	21	type	type	NOUN
ejpam-4280	259	22	distributions	distribution	NOUN
ejpam-4280	259	23	,	,	PUNCT
ejpam-4280	259	24	”	"	PUNCT
ejpam-4280	259	25	journal	journal	NOUN
ejpam-4280	259	26	of	of	ADP
ejpam-4280	259	27	multivariate	multivariate	NOUN
ejpam-4280	259	28	analysis	analysis	NOUN
ejpam-4280	259	29	,	,	PUNCT
ejpam-4280	259	30	doi	doi	NOUN
ejpam-4280	259	31	:	:	PUNCT
ejpam-4280	259	32	10.1016	10.1016	NUM
ejpam-4280	259	33	/	/	SYM
ejpam-4280	259	34	s0047259x(03)00125	s0047259x(03)00125	NOUN
ejpam-4280	259	35	-	-	PUNCT
ejpam-4280	259	36	8	8	NUM
ejpam-4280	259	37	references	reference	NOUN
ejpam-4280	259	38	2084	2084	NUM
ejpam-4280	259	39	[	[	X
ejpam-4280	259	40	2	2	NUM
ejpam-4280	259	41	]	]	X
ejpam-4280	259	42	gardes	gardes	PROPN
ejpam-4280	259	43	,	,	PUNCT
ejpam-4280	259	44	l.	l.	PROPN
ejpam-4280	259	45	,	,	PUNCT
ejpam-4280	259	46	girard	girard	PROPN
ejpam-4280	259	47	,	,	PUNCT
ejpam-4280	259	48	s.	s.	PROPN
ejpam-4280	259	49	,	,	PUNCT
ejpam-4280	259	50	and	and	CCONJ
ejpam-4280	259	51	lekina	lekina	PROPN
ejpam-4280	259	52	,	,	PUNCT
ejpam-4280	259	53	a.	a.	NOUN
ejpam-4280	259	54	functional	functional	PROPN
ejpam-4280	259	55	non	non	ADJ
ejpam-4280	259	56	parametric	parametric	PROPN
ejpam-4280	259	57	estimation	estimation	NOUN
ejpam-4280	259	58	of	of	ADP
ejpam-4280	259	59	conditional	conditional	ADJ
ejpam-4280	259	60	extreme	extreme	ADJ
ejpam-4280	259	61	quantiles	quantile	NOUN
ejpam-4280	259	62	,	,	PUNCT
ejpam-4280	259	63	journal	journal	NOUN
ejpam-4280	259	64	of	of	ADP
ejpam-4280	259	65	multivariate	multivariate	NOUN
ejpam-4280	259	66	analysis	analysis	NOUN
ejpam-4280	259	67	,	,	PUNCT
ejpam-4280	259	68	doi	doi	NOUN
ejpam-4280	259	69	:	:	PUNCT
ejpam-4280	259	70	10.1016	10.1016	NUM
ejpam-4280	259	71	/	/	SYM
ejpam-4280	259	72	j.jmva.2009.06.007	j.jmva.2009.06.007	PROPN
ejpam-4280	259	73	[	[	X
ejpam-4280	259	74	3	3	NUM
ejpam-4280	259	75	]	]	PUNCT
ejpam-4280	259	76	huixia	huixia	NOUN
ejpam-4280	259	77	judy	judy	PROPN
ejpam-4280	259	78	wang	wang	PROPN
ejpam-4280	259	79	,	,	PUNCT
ejpam-4280	259	80	deyuan	deyuan	PROPN
ejpam-4280	259	81	li	li	PROPN
ejpam-4280	259	82	,	,	PUNCT
ejpam-4280	259	83	and	and	CCONJ
ejpam-4280	259	84	xuming	xume	VERB
ejpam-4280	259	85	he	he	PRON
ejpam-4280	259	86	estimation	estimation	NOUN
ejpam-4280	259	87	of	of	ADP
ejpam-4280	259	88	high	high	ADJ
ejpam-4280	259	89	conditional	conditional	ADJ
ejpam-4280	259	90	quantiles	quantile	NOUN
ejpam-4280	259	91	for	for	ADP
ejpam-4280	259	92	heavy	heavy	ADJ
ejpam-4280	259	93	-	-	PUNCT
ejpam-4280	259	94	tailed	tail	VERB
ejpam-4280	259	95	distributions	distribution	NOUN
ejpam-4280	259	96	,	,	PUNCT
ejpam-4280	259	97	journal	journal	NOUN
ejpam-4280	259	98	of	of	ADP
ejpam-4280	259	99	the	the	DET
ejpam-4280	259	100	american	american	PROPN
ejpam-4280	259	101	statistical	statistical	PROPN
ejpam-4280	259	102	association	association	PROPN
ejpam-4280	259	103	,	,	PUNCT
ejpam-4280	259	104	doi	doi	NOUN
ejpam-4280	259	105	:	:	PUNCT
ejpam-4280	259	106	10.1080/01621459.2012.716382	10.1080/01621459.2012.716382	NUM
ejpam-4280	259	107	[	[	X
ejpam-4280	259	108	4	4	NUM
ejpam-4280	259	109	]	]	PUNCT
ejpam-4280	259	110	huixia	huixia	NOUN
ejpam-4280	259	111	judy	judy	PROPN
ejpam-4280	259	112	wang	wang	PROPN
ejpam-4280	259	113	and	and	CCONJ
ejpam-4280	259	114	deyuan	deyuan	PROPN
ejpam-4280	259	115	li	li	PROPN
ejpam-4280	259	116	estimation	estimation	PROPN
ejpam-4280	259	117	of	of	ADP
ejpam-4280	259	118	extreme	extreme	ADJ
ejpam-4280	259	119	conditional	conditional	ADJ
ejpam-4280	259	120	quantiles	quantile	NOUN
ejpam-4280	259	121	through	through	ADP
ejpam-4280	259	122	power	power	NOUN
ejpam-4280	259	123	transformation	transformation	NOUN
ejpam-4280	259	124	,	,	PUNCT
ejpam-4280	259	125	journal	journal	NOUN
ejpam-4280	259	126	of	of	ADP
ejpam-4280	259	127	the	the	DET
ejpam-4280	259	128	american	american	PROPN
ejpam-4280	259	129	statistical	statistical	PROPN
ejpam-4280	259	130	association	association	PROPN
ejpam-4280	259	131	,	,	PUNCT
ejpam-4280	259	132	doi	doi	NOUN
ejpam-4280	259	133	:	:	PUNCT
ejpam-4280	259	134	10.1080/01621459.2013.820134	10.1080/01621459.2013.820134	NUM
ejpam-4280	260	1	[	[	X
ejpam-4280	260	2	5	5	NUM
ejpam-4280	260	3	]	]	PUNCT
ejpam-4280	260	4	noh	noh	PROPN
ejpam-4280	260	5	h	h	PROPN
ejpam-4280	260	6	,	,	PUNCT
ejpam-4280	260	7	ghouch	ghouch	ADJ
ejpam-4280	260	8	ae	ae	PROPN
ejpam-4280	260	9	&	&	CCONJ
ejpam-4280	260	10	keilegom	keilegom	PROPN
ejpam-4280	260	11	iv	iv	PROPN
ejpam-4280	260	12	semiparametric	semiparametric	NOUN
ejpam-4280	260	13	conditional	conditional	ADJ
ejpam-4280	260	14	quantile	quantile	NOUN
ejpam-4280	260	15	estimation	estimation	NOUN
ejpam-4280	260	16	through	through	ADP
ejpam-4280	260	17	copula	copula	NOUN
ejpam-4280	260	18	-	-	PUNCT
ejpam-4280	260	19	based	base	VERB
ejpam-4280	260	20	multivariate	multivariate	NOUN
ejpam-4280	260	21	models	model	NOUN
ejpam-4280	260	22	.	.	PUNCT
ejpam-4280	261	1	journal	journal	NOUN
ejpam-4280	261	2	of	of	ADP
ejpam-4280	261	3	business	business	PROPN
ejpam-4280	261	4	&	&	CCONJ
ejpam-4280	261	5	economic	economic	ADJ
ejpam-4280	261	6	statistics	statistic	NOUN
ejpam-4280	261	7	,	,	PUNCT
ejpam-4280	261	8	doi	doi	NOUN
ejpam-4280	261	9	:	:	PUNCT
ejpam-4280	261	10	10.1080/07350015.2014.926171	10.1080/07350015.2014.926171	NUM
ejpam-4280	261	11	.	.	PUNCT
ejpam-4280	262	1	[	[	X
ejpam-4280	262	2	6	6	NUM
ejpam-4280	262	3	]	]	X
ejpam-4280	262	4	remillard	remillard	NOUN
ejpam-4280	262	5	,	,	PUNCT
ejpam-4280	262	6	b.	b.	PROPN
ejpam-4280	262	7	,	,	PUNCT
ejpam-4280	262	8	nasri	nasri	PROPN
ejpam-4280	262	9	,	,	PUNCT
ejpam-4280	262	10	b.	b.	PROPN
ejpam-4280	262	11	,	,	PUNCT
ejpam-4280	262	12	bouezmarni	bouezmarni	NOUN
ejpam-4280	262	13	,	,	PUNCT
ejpam-4280	262	14	on	on	ADP
ejpam-4280	262	15	copula	copula	NOUN
ejpam-4280	262	16	-	-	PUNCT
ejpam-4280	262	17	based	base	VERB
ejpam-4280	262	18	conditional	conditional	ADJ
ejpam-4280	262	19	quantile	quantile	ADJ
ejpam-4280	262	20	estimators	estimator	NOUN
ejpam-4280	262	21	.	.	PUNCT
ejpam-4280	263	1	statistics	statistic	NOUN
ejpam-4280	263	2	and	and	CCONJ
ejpam-4280	263	3	probability	probability	NOUN
ejpam-4280	263	4	letters	letter	NOUN
ejpam-4280	263	5	(	(	PUNCT
ejpam-4280	263	6	2017	2017	NUM
ejpam-4280	263	7	)	)	PUNCT
ejpam-4280	263	8	,	,	PUNCT
ejpam-4280	263	9	http://dx.doi.org/10.1016/j.spl.2017.04.014	http://dx.doi.org/10.1016/j.spl.2017.04.014	PROPN
ejpam-4280	264	1	[	[	X
ejpam-4280	264	2	7	7	NUM
ejpam-4280	264	3	]	]	X
ejpam-4280	264	4	b.	b.	NOUN
ejpam-4280	264	5	diakarya	diakarya	NOUN
ejpam-4280	264	6	“	"	PUNCT
ejpam-4280	264	7	sampling	sample	VERB
ejpam-4280	264	8	a	a	DET
ejpam-4280	264	9	survival	survival	NOUN
ejpam-4280	264	10	and	and	CCONJ
ejpam-4280	264	11	conditional	conditional	ADJ
ejpam-4280	264	12	class	class	NOUN
ejpam-4280	264	13	of	of	ADP
ejpam-4280	264	14	archimedean	archimedean	ADJ
ejpam-4280	264	15	processes	process	NOUN
ejpam-4280	264	16	,	,	PUNCT
ejpam-4280	264	17	”	"	PUNCT
ejpam-4280	264	18	journal	journal	NOUN
ejpam-4280	264	19	of	of	ADP
ejpam-4280	264	20	mathematics	mathematics	PROPN
ejpam-4280	264	21	research	research	NOUN
ejpam-4280	264	22	;	;	PUNCT
ejpam-4280	264	23	vol	vol	NOUN
ejpam-4280	264	24	.	.	PROPN
ejpam-4280	264	25	5	5	NUM
ejpam-4280	264	26	,	,	PUNCT
ejpam-4280	264	27	no	no	INTJ
ejpam-4280	264	28	.	.	NOUN
ejpam-4280	264	29	1	1	NUM
ejpam-4280	264	30	;	;	PUNCT
ejpam-4280	264	31	2013	2013	NUM
ejpam-4280	264	32	issn	issn	NOUN
ejpam-4280	264	33	:	:	PUNCT
ejpam-4280	264	34	1916	1916	NUM
ejpam-4280	264	35	-	-	SYM
ejpam-4280	264	36	9795	9795	NUM
ejpam-4280	264	37	doi:10.5539	doi:10.5539	NOUN
ejpam-4280	264	38	/	/	SYM
ejpam-4280	264	39	jmr.v5n1p53	jmr.v5n1p53	PROPN
ejpam-4280	265	1	[	[	X
ejpam-4280	265	2	8	8	NUM
ejpam-4280	265	3	]	]	X
ejpam-4280	265	4	laurens	laurens	PROPN
ejpam-4280	265	5	de	de	X
ejpam-4280	265	6	haan	haan	PROPN
ejpam-4280	265	7	,	,	PUNCT
ejpam-4280	265	8	ana	ana	PROPN
ejpam-4280	265	9	ferreira	ferreira	PROPN
ejpam-4280	265	10	extreme	extreme	PROPN
ejpam-4280	265	11	value	value	PROPN
ejpam-4280	265	12	theorie	theorie	NOUN
ejpam-4280	265	13	an	an	DET
ejpam-4280	265	14	introduction	introduction	NOUN
ejpam-4280	265	15	.	.	PUNCT
ejpam-4280	266	1	springer	springer	NOUN
ejpam-4280	266	2	2006	2006	NUM
ejpam-4280	267	1	[	[	X
ejpam-4280	267	2	9	9	NUM
ejpam-4280	267	3	]	]	PUNCT
ejpam-4280	267	4	p.	p.	NOUN
ejpam-4280	267	5	deheuvels	deheuvel	NOUN
ejpam-4280	267	6	,	,	PUNCT
ejpam-4280	267	7	la	la	X
ejpam-4280	267	8	fonction	fonction	PROPN
ejpam-4280	267	9	de	de	PROPN
ejpam-4280	267	10	dépendance	dépendance	PROPN
ejpam-4280	267	11	empirique	empirique	PROPN
ejpam-4280	267	12	et	et	PROPN
ejpam-4280	267	13	ses	ses	PROPN
ejpam-4280	267	14	propriétés	propriétés	PROPN
ejpam-4280	267	15	.	.	PUNCT
ejpam-4280	268	1	un	un	PROPN
ejpam-4280	268	2	test	test	PROPN
ejpam-4280	268	3	nonparamétrique	nonparamétrique	PROPN
ejpam-4280	268	4	d’indépendance	d’indépendance	NOUN
ejpam-4280	268	5	.	.	PUNCT
ejpam-4280	269	1	académie	académie	NOUN
ejpam-4280	269	2	royale	royale	PROPN
ejpam-4280	269	3	de	de	ADP
ejpam-4280	269	4	belgiquebulletin	belgiquebulletin	PROPN
ejpam-4280	269	5	de	de	X
ejpam-4280	269	6	la	la	PROPN
ejpam-4280	269	7	classe	classe	PROPN
ejpam-4280	269	8	des	des	PROPN
ejpam-4280	269	9	sciences	sciences	PROPN
ejpam-4280	269	10	[	[	X
ejpam-4280	269	11	10	10	NUM
ejpam-4280	269	12	]	]	X
ejpam-4280	269	13	c.	c.	PROPN
ejpam-4280	269	14	genest	genest	PROPN
ejpam-4280	269	15	,	,	PUNCT
ejpam-4280	269	16	k.	k.	PROPN
ejpam-4280	269	17	ghoudi	ghoudi	PROPN
ejpam-4280	269	18	,	,	PUNCT
ejpam-4280	269	19	&	&	CCONJ
ejpam-4280	269	20	l.	l.	PROPN
ejpam-4280	269	21	p.	p.	PROPN
ejpam-4280	269	22	rivest	rivest	PROPN
ejpam-4280	269	23	,	,	PUNCT
ejpam-4280	269	24	a	a	DET
ejpam-4280	269	25	semiparametric	semiparametric	ADJ
ejpam-4280	269	26	estimation	estimation	NOUN
ejpam-4280	269	27	procedure	procedure	NOUN
ejpam-4280	269	28	of	of	ADP
ejpam-4280	269	29	dependence	dependence	NOUN
ejpam-4280	269	30	parameters	parameter	NOUN
ejpam-4280	269	31	in	in	ADP
ejpam-4280	269	32	multivariate	multivariate	NOUN
ejpam-4280	269	33	families	family	NOUN
ejpam-4280	269	34	of	of	ADP
ejpam-4280	269	35	distributions	distribution	NOUN
ejpam-4280	269	36	.	.	PUNCT
ejpam-4280	270	1	biometrika	biometrika	NOUN
ejpam-4280	270	2	,	,	PUNCT
ejpam-4280	270	3	doi	doi	NOUN
ejpam-4280	270	4	:	:	PUNCT
ejpam-4280	270	5	10.1093	10.1093	NUM
ejpam-4280	270	6	/	/	SYM
ejpam-4280	270	7	biomet/82.3.543	biomet/82.3.543	PROPN
ejpam-4280	271	1	[	[	X
ejpam-4280	271	2	11	11	NUM
ejpam-4280	271	3	]	]	X
ejpam-4280	271	4	c.	c.	PROPN
ejpam-4280	271	5	genest	genest	PROPN
ejpam-4280	271	6	&	&	CCONJ
ejpam-4280	271	7	l.	l.	PROPN
ejpam-4280	271	8	p.	p.	PROPN
ejpam-4280	271	9	rivest	riv	ADJ
ejpam-4280	271	10	,	,	PUNCT
ejpam-4280	271	11	statistical	statistical	ADJ
ejpam-4280	271	12	inference	inference	NOUN
ejpam-4280	271	13	procedures	procedure	NOUN
ejpam-4280	271	14	for	for	ADP
ejpam-4280	271	15	bivariate	bivariate	ADJ
ejpam-4280	271	16	archimedean	archimedean	ADJ
ejpam-4280	271	17	copulas	copula	NOUN
ejpam-4280	271	18	.	.	PUNCT
ejpam-4280	272	1	journal	journal	PROPN
ejpam-4280	272	2	of	of	ADP
ejpam-4280	272	3	the	the	DET
ejpam-4280	272	4	american	american	PROPN
ejpam-4280	272	5	statistical	statistical	PROPN
ejpam-4280	272	6	association	association	PROPN
ejpam-4280	272	7	,	,	PUNCT
ejpam-4280	272	8	doi	doi	PROPN
ejpam-4280	272	9	:	:	PUNCT
ejpam-4280	272	10	10.1080/01621459.1993.10476372	10.1080/01621459.1993.10476372	NUM
ejpam-4280	272	11	[	[	X
ejpam-4280	272	12	12	12	NUM
ejpam-4280	272	13	]	]	X
ejpam-4280	272	14	i.	i.	PROPN
ejpam-4280	272	15	gijbels	gijbels	PROPN
ejpam-4280	272	16	&	&	CCONJ
ejpam-4280	272	17	j.	j.	PROPN
ejpam-4280	272	18	mielniczuk	mielniczuk	PROPN
ejpam-4280	272	19	,	,	PUNCT
ejpam-4280	272	20	estimating	estimate	VERB
ejpam-4280	272	21	the	the	DET
ejpam-4280	272	22	density	density	NOUN
ejpam-4280	272	23	of	of	ADP
ejpam-4280	272	24	a	a	DET
ejpam-4280	272	25	copula	copula	NOUN
ejpam-4280	272	26	function	function	NOUN
ejpam-4280	272	27	.	.	PUNCT
ejpam-4280	273	1	communications	communication	NOUN
ejpam-4280	273	2	in	in	ADP
ejpam-4280	273	3	statistics	statistic	NOUN
ejpam-4280	273	4	-	-	PUNCT
ejpam-4280	273	5	theory	theory	NOUN
ejpam-4280	273	6	and	and	CCONJ
ejpam-4280	273	7	methods	method	NOUN
ejpam-4280	273	8	,	,	PUNCT
ejpam-4280	273	9	communications	communication	NOUN
ejpam-4280	273	10	en	en	ADP
ejpam-4280	273	11	statistiquethéorie	statistiquethéorie	NOUN
ejpam-4280	273	12	et	et	NOUN
ejpam-4280	273	13	méthodes	méthodes	PROPN
ejpam-4280	273	14	,	,	PUNCT
ejpam-4280	273	15	doi	doi	NOUN
ejpam-4280	273	16	:	:	PUNCT
ejpam-4280	273	17	10.1080/03610929008830212	10.1080/03610929008830212	NUM
ejpam-4280	273	18	[	[	SYM
ejpam-4280	273	19	13	13	NUM
ejpam-4280	273	20	]	]	X
ejpam-4280	273	21	d.	d.	PROPN
ejpam-4280	273	22	oakes	oakes	PROPN
ejpam-4280	273	23	,	,	PUNCT
ejpam-4280	273	24	a	a	DET
ejpam-4280	273	25	model	model	NOUN
ejpam-4280	273	26	for	for	ADP
ejpam-4280	273	27	association	association	NOUN
ejpam-4280	273	28	in	in	ADP
ejpam-4280	273	29	bivariate	bivariate	ADJ
ejpam-4280	273	30	survival	survival	NOUN
ejpam-4280	273	31	data	data	PROPN
ejpam-4280	273	32	.	.	PUNCT
ejpam-4280	274	1	journal	journal	NOUN
ejpam-4280	274	2	of	of	ADP
ejpam-4280	274	3	the	the	DET
ejpam-4280	274	4	royal	royal	ADJ
ejpam-4280	274	5	statistical	statistical	ADJ
ejpam-4280	274	6	society	society	NOUN
ejpam-4280	274	7	,	,	PUNCT
ejpam-4280	274	8	doi	doi	NOUN
ejpam-4280	274	9	:	:	PUNCT
ejpam-4280	274	10	10.1111	10.1111	NUM
ejpam-4280	274	11	/	/	SYM
ejpam-4280	274	12	j.2517	j.2517	PROPN
ejpam-4280	274	13	-	-	PUNCT
ejpam-4280	274	14	6161.1982.tb01222.x	6161.1982.tb01222.x	PROPN
ejpam-4280	275	1	[	[	X
ejpam-4280	275	2	14	14	NUM
ejpam-4280	275	3	]	]	PUNCT
ejpam-4280	275	4	diakarya	diakarya	ADJ
ejpam-4280	275	5	barro	barro	NOUN
ejpam-4280	275	6	,	,	PUNCT
ejpam-4280	275	7	moumouni	moumouni	PROPN
ejpam-4280	275	8	diallo	diallo	PROPN
ejpam-4280	275	9	,	,	PUNCT
ejpam-4280	275	10	and	and	CCONJ
ejpam-4280	275	11	remi	remi	PROPN
ejpam-4280	275	12	guillaume	guillaume	PROPN
ejpam-4280	275	13	bagré	bagré	PROPN
ejpam-4280	276	1	“	"	PUNCT
ejpam-4280	276	2	spatial	spatial	ADJ
ejpam-4280	276	3	tail	tail	NOUN
ejpam-4280	276	4	dependence	dependence	NOUN
ejpam-4280	276	5	and	and	CCONJ
ejpam-4280	276	6	survival	survival	NOUN
ejpam-4280	276	7	stability	stability	NOUN
ejpam-4280	276	8	in	in	ADP
ejpam-4280	276	9	a	a	DET
ejpam-4280	276	10	class	class	NOUN
ejpam-4280	276	11	of	of	ADP
ejpam-4280	276	12	archimedean	archimedean	ADJ
ejpam-4280	276	13	copulas	copula	NOUN
ejpam-4280	276	14	,	,	PUNCT
ejpam-4280	276	15	”	"	PUNCT
ejpam-4280	276	16	international	international	ADJ
ejpam-4280	276	17	journal	journal	NOUN
ejpam-4280	276	18	references	reference	NOUN
ejpam-4280	276	19	2085	2085	NUM
ejpam-4280	276	20	of	of	ADP
ejpam-4280	276	21	mathematics	mathematic	NOUN
ejpam-4280	276	22	and	and	CCONJ
ejpam-4280	276	23	mathematical	mathematical	ADJ
ejpam-4280	276	24	sciences	science	NOUN
ejpam-4280	276	25	,	,	PUNCT
ejpam-4280	276	26	vol	vol	NOUN
ejpam-4280	276	27	.	.	NOUN
ejpam-4280	276	28	2016	2016	NUM
ejpam-4280	276	29	,	,	PUNCT
ejpam-4280	276	30	article	article	NOUN
ejpam-4280	276	31	i	i	PROPN
ejpam-4280	276	32	d	d	PROPN
ejpam-4280	276	33	8927248	8927248	NUM
ejpam-4280	276	34	,	,	PUNCT
ejpam-4280	276	35	2016	2016	NUM
ejpam-4280	276	36	.	.	NOUN
ejpam-4280	276	37	8	8	NUM
ejpam-4280	276	38	pages	page	NOUN
ejpam-4280	276	39	,	,	PUNCT
ejpam-4280	276	40	[	[	X
ejpam-4280	276	41	16	16	NUM
ejpam-4280	276	42	]	]	SYM
ejpam-4280	276	43	2016	2016	NUM
ejpam-4280	276	44	.	.	PUNCT
ejpam-4280	277	1	doi:10.1155/2016/8927248	doi:10.1155/2016/8927248	NOUN
ejpam-4280	278	1	[	[	X
ejpam-4280	278	2	15	15	NUM
ejpam-4280	278	3	]	]	X
ejpam-4280	278	4	e.	e.	PROPN
ejpam-4280	278	5	bouyé	bouyé	PROPN
ejpam-4280	278	6	&	&	CCONJ
ejpam-4280	278	7	m.	m.	PROPN
ejpam-4280	278	8	salmon	salmon	PROPN
ejpam-4280	278	9	.	.	PUNCT
ejpam-4280	279	1	dynamic	dynamic	ADJ
ejpam-4280	279	2	copula	copula	NOUN
ejpam-4280	279	3	quantile	quantile	NOUN
ejpam-4280	279	4	regressions	regression	NOUN
ejpam-4280	279	5	and	and	CCONJ
ejpam-4280	279	6	tail	tail	NOUN
ejpam-4280	279	7	area	area	NOUN
ejpam-4280	279	8	dynamic	dynamic	ADJ
ejpam-4280	279	9	dependence	dependence	NOUN
ejpam-4280	279	10	in	in	ADP
ejpam-4280	279	11	forex	forex	ADJ
ejpam-4280	279	12	markets	market	NOUN
ejpam-4280	279	13	.	.	PUNCT
ejpam-4280	280	1	the	the	DET
ejpam-4280	280	2	european	european	PROPN
ejpam-4280	280	3	journal	journal	PROPN
ejpam-4280	280	4	of	of	ADP
ejpam-4280	280	5	finance	finance	NOUN
ejpam-4280	280	6	,	,	PUNCT
ejpam-4280	280	7	doi	doi	NOUN
ejpam-4280	280	8	:	:	PUNCT
ejpam-4280	280	9	10.1080/13518470902853491	10.1080/13518470902853491	NUM
ejpam-4280	280	10	[	[	X
ejpam-4280	280	11	16	16	NUM
ejpam-4280	280	12	]	]	PUNCT
ejpam-4280	280	13	b.	b.	PROPN
ejpam-4280	281	1	rémillard	rémillard	PROPN
ejpam-4280	281	2	.	.	PROPN
ejpam-4280	281	3	statistical	statistical	ADJ
ejpam-4280	281	4	methods	method	NOUN
ejpam-4280	281	5	for	for	ADP
ejpam-4280	281	6	financial	financial	ADJ
ejpam-4280	281	7	engineering	engineering	NOUN
ejpam-4280	281	8	.	.	PUNCT
ejpam-4280	282	1	chapman	chapman	NOUN
ejpam-4280	282	2	and	and	CCONJ
ejpam-4280	282	3	hall	hall	PROPN
ejpam-4280	282	4	/	/	SYM
ejpam-4280	282	5	crc	crc	PROPN
ejpam-4280	282	6	financial	financial	PROPN
ejpam-4280	282	7	mathematics	mathematics	PROPN
ejpam-4280	282	8	series	series	NOUN
ejpam-4280	282	9	.	.	PUNCT
ejpam-4280	283	1	taylor	taylor	PROPN
ejpam-4280	283	2	&	&	CCONJ
ejpam-4280	283	3	francis	francis	PROPN
ejpam-4280	283	4	,	,	PUNCT
ejpam-4280	283	5	2013	2013	NUM
ejpam-4280	284	1	[	[	X
ejpam-4280	284	2	17	17	NUM
ejpam-4280	284	3	]	]	X
ejpam-4280	284	4	h.	h.	PROPN
ejpam-4280	284	5	joe	joe	PROPN
ejpam-4280	284	6	.	.	PUNCT
ejpam-4280	285	1	asymptotic	asymptotic	ADJ
ejpam-4280	285	2	efficiency	efficiency	NOUN
ejpam-4280	285	3	of	of	ADP
ejpam-4280	285	4	the	the	DET
ejpam-4280	285	5	two	two	NUM
ejpam-4280	285	6	-	-	PUNCT
ejpam-4280	285	7	stage	stage	NOUN
ejpam-4280	285	8	estimation	estimation	NOUN
ejpam-4280	285	9	method	method	NOUN
ejpam-4280	285	10	for	for	ADP
ejpam-4280	285	11	copulabased	copulabase	VERB
ejpam-4280	285	12	models	model	NOUN
ejpam-4280	285	13	.	.	PUNCT
ejpam-4280	286	1	journal	journal	NOUN
ejpam-4280	286	2	of	of	ADP
ejpam-4280	286	3	multivariate	multivariate	NOUN
ejpam-4280	286	4	analysis	analysis	NOUN
ejpam-4280	286	5	,	,	PUNCT
ejpam-4280	286	6	doi	doi	NOUN
ejpam-4280	286	7	:	:	PUNCT
ejpam-4280	286	8	10.1016	10.1016	NUM
ejpam-4280	286	9	/	/	SYM
ejpam-4280	286	10	j.jmva.2004.06.003	j.jmva.2004.06.003	PROPN
ejpam-4280	287	1	[	[	X
ejpam-4280	287	2	18	18	NUM
ejpam-4280	287	3	]	]	PUNCT
ejpam-4280	287	4	a.	a.	NOUN
ejpam-4280	287	5	sancetta	sancetta	NOUN
ejpam-4280	287	6	and	and	CCONJ
ejpam-4280	287	7	s.	s.	PROPN
ejpam-4280	287	8	satchell	satchell	PROPN
ejpam-4280	287	9	.	.	PUNCT
ejpam-4280	288	1	the	the	DET
ejpam-4280	288	2	bernstein	bernstein	PROPN
ejpam-4280	288	3	copula	copula	PROPN
ejpam-4280	288	4	and	and	CCONJ
ejpam-4280	288	5	its	its	PRON
ejpam-4280	288	6	applications	application	NOUN
ejpam-4280	288	7	to	to	ADP
ejpam-4280	288	8	modeling	modeling	NOUN
ejpam-4280	288	9	and	and	CCONJ
ejpam-4280	288	10	approximations	approximation	NOUN
ejpam-4280	288	11	of	of	ADP
ejpam-4280	288	12	multivariate	multivariate	NOUN
ejpam-4280	288	13	distributions	distribution	NOUN
ejpam-4280	288	14	.	.	PUNCT
ejpam-4280	289	1	economic	economic	ADJ
ejpam-4280	289	2	theory	theory	NOUN
ejpam-4280	289	3	,	,	PUNCT
ejpam-4280	289	4	doi	doi	NOUN
ejpam-4280	289	5	:	:	PUNCT
ejpam-4280	289	6	10.1017	10.1017	NUM
ejpam-4280	289	7	/	/	SYM
ejpam-4280	290	1	s026646660420305x	s026646660420305x	NOUN
ejpam-4280	290	2	[	[	X
ejpam-4280	290	3	19	19	NUM
ejpam-4280	290	4	]	]	X
ejpam-4280	290	5	paul	paul	PROPN
ejpam-4280	290	6	janssen	janssen	PROPN
ejpam-4280	290	7	,	,	PUNCT
ejpam-4280	290	8	jan	jan	PROPN
ejpam-4280	290	9	swanepoel	swanepoel	PROPN
ejpam-4280	290	10	,	,	PUNCT
ejpam-4280	290	11	noël	noël	PROPN
ejpam-4280	290	12	veraverbeke	veraverbeke	PROPN
ejpam-4280	290	13	.	.	PUNCT
ejpam-4280	291	1	large	large	ADJ
ejpam-4280	291	2	sample	sample	NOUN
ejpam-4280	291	3	behavior	behavior	NOUN
ejpam-4280	291	4	of	of	ADP
ejpam-4280	291	5	the	the	DET
ejpam-4280	291	6	bernstein	bernstein	PROPN
ejpam-4280	291	7	copula	copula	PROPN
ejpam-4280	291	8	estimator	estimator	NOUN
ejpam-4280	291	9	,	,	PUNCT
ejpam-4280	291	10	doi	doi	NOUN
ejpam-4280	291	11	:	:	PUNCT
ejpam-4280	291	12	10.1016	10.1016	NUM
ejpam-4280	291	13	/	/	SYM
ejpam-4280	291	14	j.jspi.2011.11.020	j.jspi.2011.11.020	PROPN
ejpam-4280	292	1	[	[	X
ejpam-4280	292	2	20	20	NUM
ejpam-4280	292	3	]	]	X
ejpam-4280	292	4	d.	d.	PROPN
ejpam-4280	292	5	kraus	kraus	PROPN
ejpam-4280	292	6	and	and	CCONJ
ejpam-4280	292	7	c.	c.	PROPN
ejpam-4280	292	8	czado	czado	PROPN
ejpam-4280	292	9	.	.	PUNCT
ejpam-4280	293	1	d	d	X
ejpam-4280	293	2	-	-	PUNCT
ejpam-4280	293	3	vine	vine	NOUN
ejpam-4280	293	4	copula	copula	NOUN
ejpam-4280	293	5	based	base	VERB
ejpam-4280	293	6	quantile	quantile	ADJ
ejpam-4280	293	7	regression	regression	NOUN
ejpam-4280	293	8	.	.	PUNCT
ejpam-4280	294	1	computational	computational	ADJ
ejpam-4280	294	2	statistics	statistic	NOUN
ejpam-4280	294	3	&	&	CCONJ
ejpam-4280	294	4	data	datum	NOUN
ejpam-4280	294	5	analysis	analysis	NOUN
ejpam-4280	294	6	,	,	PUNCT
ejpam-4280	294	7	doi	doi	NOUN
ejpam-4280	294	8	:	:	PUNCT
ejpam-4280	294	9	10.1016	10.1016	NUM
ejpam-4280	294	10	/	/	SYM
ejpam-4280	294	11	j.csda.2016.12.009	j.csda.2016.12.009	PROPN
ejpam-4280	295	1	[	[	X
ejpam-4280	295	2	21	21	NUM
ejpam-4280	295	3	]	]	X
ejpam-4280	295	4	b.	b.	PROPN
ejpam-4280	295	5	nasri	nasri	PROPN
ejpam-4280	295	6	and	and	CCONJ
ejpam-4280	295	7	t.	t.	PROPN
ejpam-4280	295	8	bouezmarni	bouezmarni	NOUN
ejpam-4280	295	9	.	.	PUNCT
ejpam-4280	296	1	copula	copula	NOUN
ejpam-4280	296	2	-	-	PUNCT
ejpam-4280	296	3	based	base	VERB
ejpam-4280	296	4	conditional	conditional	ADJ
ejpam-4280	296	5	quantiles	quantile	NOUN
ejpam-4280	296	6	and	and	CCONJ
ejpam-4280	296	7	inference	inference	NOUN
ejpam-4280	296	8	.	.	PUNCT
ejpam-4280	297	1	in	in	ADP
ejpam-4280	297	2	bouchra	bouchra	PROPN
ejpam-4280	297	3	nasri	nasri	PROPN
ejpam-4280	297	4	,	,	PUNCT
ejpam-4280	297	5	editor	editor	NOUN
ejpam-4280	297	6	,	,	PUNCT
ejpam-4280	297	7	méthodes	méthodes	PROPN
ejpam-4280	297	8	d’estimation	d’estimation	NOUN
ejpam-4280	297	9	des	des	PROPN
ejpam-4280	297	10	quantiles	quantile	VERB
ejpam-4280	297	11	conditionnels	conditionnel	NOUN
ejpam-4280	297	12	en	en	ADP
ejpam-4280	297	13	hydroclimatologie	hydroclimatologie	NOUN
ejpam-4280	297	14	,	,	PUNCT
ejpam-4280	297	15	phd	phd	NOUN
ejpam-4280	297	16	thesis	thesis	NOUN
ejpam-4280	297	17	,	,	PUNCT
ejpam-4280	297	18	chapter	chapter	NOUN
ejpam-4280	297	19	3	3	NUM
ejpam-4280	297	20	,	,	PUNCT
ejpam-4280	297	21	pages	page	NOUN
ejpam-4280	297	22	115–150	115–150	NUM
ejpam-4280	297	23	.	.	PUNCT
ejpam-4280	298	1	inrs	inrs	NOUN
ejpam-4280	298	2	-	-	PUNCT
ejpam-4280	298	3	ete	ete	NOUN
ejpam-4280	298	4	,	,	PUNCT
ejpam-4280	298	5	2017	2017	NUM
ejpam-4280	298	6	.	.	PUNCT
ejpam-4280	299	1	[	[	X
ejpam-4280	299	2	22	22	NUM
ejpam-4280	299	3	]	]	X
ejpam-4280	299	4	d.	d.	PROPN
ejpam-4280	299	5	diers	diers	PROPN
ejpam-4280	299	6	,	,	PUNCT
ejpam-4280	299	7	martin	martin	PROPN
ejpam-4280	299	8	eling	eling	PROPN
ejpam-4280	299	9	and	and	CCONJ
ejpam-4280	299	10	sébastien	sébastien	PROPN
ejpam-4280	299	11	d.	d.	PROPN
ejpam-4280	299	12	marek	marek	PROPN
ejpam-4280	299	13	dependence	dependence	NOUN
ejpam-4280	299	14	modeling	modeling	NOUN
ejpam-4280	299	15	in	in	ADP
ejpam-4280	299	16	non	non	ADJ
ejpam-4280	299	17	-	-	ADJ
ejpam-4280	299	18	life	life	ADJ
ejpam-4280	299	19	insurance	insurance	NOUN
ejpam-4280	299	20	using	use	VERB
ejpam-4280	299	21	the	the	DET
ejpam-4280	299	22	bernstein	bernstein	PROPN
ejpam-4280	299	23	copula	copula	PROPN
ejpam-4280	299	24	.	.	PUNCT
ejpam-4280	300	1	doi	doi	NOUN
ejpam-4280	300	2	:	:	PUNCT
ejpam-4280	300	3	10.1016	10.1016	NUM
ejpam-4280	300	4	/	/	SYM
ejpam-4280	300	5	j.insmatheco.2012.02.007	j.insmatheco.2012.02.007	PROPN
ejpam-4280	301	1	[	[	X
ejpam-4280	301	2	23	23	NUM
ejpam-4280	301	3	]	]	PUNCT
ejpam-4280	301	4	barro	barro	ADJ
ejpam-4280	301	5	diakarya	diakarya	NOUN
ejpam-4280	301	6	,	,	PUNCT
ejpam-4280	301	7	“	"	PUNCT
ejpam-4280	301	8	analysis	analysis	NOUN
ejpam-4280	301	9	of	of	ADP
ejpam-4280	301	10	stochastic	stochastic	ADJ
ejpam-4280	301	11	spatial	spatial	ADJ
ejpam-4280	301	12	processes	process	NOUN
ejpam-4280	301	13	via	via	ADP
ejpam-4280	301	14	copulas	copula	NOUN
ejpam-4280	301	15	and	and	CCONJ
ejpam-4280	301	16	measures	measure	NOUN
ejpam-4280	301	17	of	of	ADP
ejpam-4280	301	18	extremal	extremal	ADJ
ejpam-4280	301	19	dependence	dependence	NOUN
ejpam-4280	301	20	,	,	PUNCT
ejpam-4280	301	21	”	"	PUNCT
ejpam-4280	301	22	archives	archive	NOUN
ejpam-4280	301	23	des	des	PROPN
ejpam-4280	301	24	sciences	sciences	PROPN
ejpam-4280	301	25	,	,	PUNCT
ejpam-4280	301	26	vol	vol	NOUN
ejpam-4280	301	27	.	.	PROPN
ejpam-4280	301	28	65	65	NUM
ejpam-4280	301	29	,	,	PUNCT
ejpam-4280	301	30	no	no	INTJ
ejpam-4280	301	31	.	.	NOUN
ejpam-4280	301	32	12	12	NUM
ejpam-4280	301	33	,	,	PUNCT
ejpam-4280	301	34	pp	pp	ADJ
ejpam-4280	301	35	.	.	PUNCT
ejpam-4280	302	1	665–673	665–673	NUM
ejpam-4280	302	2	,	,	PUNCT
ejpam-4280	302	3	2012	2012	NUM
ejpam-4280	302	4	.	.	PUNCT
ejpam-4280	303	1	[	[	X
ejpam-4280	303	2	24	24	NUM
ejpam-4280	303	3	]	]	PUNCT
ejpam-4280	303	4	b.	b.	PROPN
ejpam-4280	303	5	diakarya	diakarya	PROPN
ejpam-4280	303	6	,	,	PUNCT
ejpam-4280	303	7	k.	k.	PROPN
ejpam-4280	303	8	blami	blami	PROPN
ejpam-4280	303	9	,	,	PUNCT
ejpam-4280	303	10	and	and	CCONJ
ejpam-4280	303	11	s.	s.	PROPN
ejpam-4280	303	12	moussa	moussa	PROPN
ejpam-4280	303	13	,	,	PUNCT
ejpam-4280	303	14	“	"	PUNCT
ejpam-4280	303	15	spatial	spatial	ADJ
ejpam-4280	303	16	stochastic	stochastic	ADJ
ejpam-4280	303	17	framework	framework	NOUN
ejpam-4280	303	18	for	for	ADP
ejpam-4280	303	19	sampling	sample	VERB
ejpam-4280	303	20	time	time	NOUN
ejpam-4280	303	21	parametric	parametric	ADJ
ejpam-4280	303	22	max	max	PROPN
ejpam-4280	303	23	-	-	PUNCT
ejpam-4280	303	24	stable	stable	ADJ
ejpam-4280	303	25	processes	process	NOUN
ejpam-4280	303	26	,	,	PUNCT
ejpam-4280	303	27	”	"	PUNCT
ejpam-4280	303	28	international	international	ADJ
ejpam-4280	303	29	journal	journal	NOUN
ejpam-4280	303	30	of	of	ADP
ejpam-4280	303	31	statistics	statistic	NOUN
ejpam-4280	303	32	and	and	CCONJ
ejpam-4280	303	33	probability	probability	NOUN
ejpam-4280	303	34	,	,	PUNCT
ejpam-4280	303	35	issn	issn	PROPN
ejpam-4280	303	36	1927	1927	NUM
ejpam-4280	303	37	-	-	SYM
ejpam-4280	303	38	7032	7032	NUM
ejpam-4280	303	39	(	(	PUNCT
ejpam-4280	303	40	p	p	NOUN
ejpam-4280	303	41	)	)	PUNCT
ejpam-4280	303	42	1927	1927	NUM
ejpam-4280	303	43	-	-	SYM
ejpam-4280	303	44	7040	7040	NUM
ejpam-4280	303	45	(	(	PUNCT
ejpam-4280	303	46	e	e	NOUN
ejpam-4280	303	47	)	)	PUNCT
ejpam-4280	303	48	vol	vol	NOUN
ejpam-4280	303	49	.	.	NOUN
ejpam-4280	303	50	1	1	NUM
ejpam-4280	303	51	,	,	PUNCT
ejpam-4280	303	52	no	no	INTJ
ejpam-4280	303	53	.	.	NOUN
ejpam-4280	303	54	2	2	NUM
ejpam-4280	303	55	,	,	PUNCT
ejpam-4280	303	56	p.	p.	NOUN
ejpam-4280	303	57	203	203	NUM
ejpam-4280	303	58	,	,	PUNCT
ejpam-4280	303	59	2012	2012	NUM
ejpam-4280	303	60	.	.	PUNCT
ejpam-4280	304	1	doi:10.5539	doi:10.5539	NOUN
ejpam-4280	304	2	/	/	SYM
ejpam-4280	304	3	ijsp.v1n2p203	ijsp.v1n2p203	VERB