id	sid	tid	token	lemma	pos
pv63fx73n73	1	1	my	my	PRON
pv63fx73n73	1	2	work	work	NOUN
pv63fx73n73	1	3	in	in	ADP
pv63fx73n73	1	4	this	this	DET
pv63fx73n73	1	5	thesis	thesis	NOUN
pv63fx73n73	1	6	is	be	AUX
pv63fx73n73	1	7	about	about	ADP
pv63fx73n73	1	8	the	the	DET
pv63fx73n73	1	9	lasso	lasso	NOUN
pv63fx73n73	1	10	-	-	PUNCT
pv63fx73n73	1	11	based	base	VERB
pv63fx73n73	1	12	penalties	penalty	NOUN
pv63fx73n73	1	13	,	,	PUNCT
pv63fx73n73	1	14	scad	scad	PROPN
pv63fx73n73	1	15	-	-	PUNCT
pv63fx73n73	1	16	based	base	VERB
pv63fx73n73	1	17	penalties	penalty	NOUN
pv63fx73n73	1	18	and	and	CCONJ
pv63fx73n73	1	19	their	their	PRON
pv63fx73n73	1	20	applications	application	NOUN
pv63fx73n73	1	21	to	to	ADP
pv63fx73n73	1	22	genetic	genetic	ADJ
pv63fx73n73	1	23	research	research	NOUN
pv63fx73n73	1	24	and	and	CCONJ
pv63fx73n73	1	25	economic	economic	ADJ
pv63fx73n73	1	26	forecasting	forecasting	NOUN
pv63fx73n73	1	27	.	.	PUNCT
pv63fx73n73	2	1	motivated	motivate	VERB
pv63fx73n73	2	2	by	by	ADP
pv63fx73n73	2	3	functional	functional	ADJ
pv63fx73n73	2	4	genome	genome	NOUN
pv63fx73n73	2	5	-	-	PUNCT
pv63fx73n73	2	6	wide	wide	ADJ
pv63fx73n73	2	7	association	association	NOUN
pv63fx73n73	2	8	studies	study	NOUN
pv63fx73n73	2	9	(	(	PUNCT
pv63fx73n73	2	10	fgwas	fgwa	VERB
pv63fx73n73	2	11	)	)	PUNCT
pv63fx73n73	2	12	,	,	PUNCT
pv63fx73n73	2	13	a	a	DET
pv63fx73n73	2	14	procedure	procedure	NOUN
pv63fx73n73	2	15	with	with	ADP
pv63fx73n73	2	16	penalization	penalization	NOUN
pv63fx73n73	2	17	on	on	ADP
pv63fx73n73	2	18	both	both	DET
pv63fx73n73	2	19	linear	linear	ADJ
pv63fx73n73	2	20	regression	regression	NOUN
pv63fx73n73	2	21	coefficients	coefficient	NOUN
pv63fx73n73	2	22	and	and	CCONJ
pv63fx73n73	2	23	the	the	DET
pv63fx73n73	2	24	inverse	inverse	ADJ
pv63fx73n73	2	25	covariance	covariance	NOUN
pv63fx73n73	2	26	matrix	matrix	NOUN
pv63fx73n73	2	27	is	be	AUX
pv63fx73n73	2	28	proposed	propose	VERB
pv63fx73n73	2	29	.	.	PUNCT
pv63fx73n73	3	1	motivated	motivate	VERB
pv63fx73n73	3	2	by	by	ADP
pv63fx73n73	3	3	macroeconomic	macroeconomic	ADJ
pv63fx73n73	3	4	variable	variable	ADJ
pv63fx73n73	3	5	forecasting	forecasting	NOUN
pv63fx73n73	3	6	,	,	PUNCT
pv63fx73n73	3	7	the	the	DET
pv63fx73n73	3	8	differences	difference	NOUN
pv63fx73n73	3	9	in	in	ADP
pv63fx73n73	3	10	the	the	DET
pv63fx73n73	3	11	performance	performance	NOUN
pv63fx73n73	3	12	of	of	ADP
pv63fx73n73	3	13	forecasting	forecast	VERB
pv63fx73n73	3	14	from	from	ADP
pv63fx73n73	3	15	lasso	lasso	PROPN
pv63fx73n73	3	16	regression	regression	NOUN
pv63fx73n73	3	17	and	and	CCONJ
pv63fx73n73	3	18	scad	scad	PROPN
pv63fx73n73	3	19	regression	regression	NOUN
pv63fx73n73	3	20	are	be	AUX
pv63fx73n73	3	21	examined	examine	VERB
pv63fx73n73	3	22	and	and	CCONJ
pv63fx73n73	3	23	the	the	DET
pv63fx73n73	3	24	improvements	improvement	NOUN
pv63fx73n73	3	25	of	of	ADP
pv63fx73n73	3	26	forecast	forecast	NOUN
pv63fx73n73	3	27	accuracy	accuracy	NOUN
pv63fx73n73	3	28	resulting	result	VERB
pv63fx73n73	3	29	from	from	ADP
pv63fx73n73	3	30	the	the	DET
pv63fx73n73	3	31	inclusion	inclusion	NOUN
pv63fx73n73	3	32	of	of	ADP
pv63fx73n73	3	33	group	group	NOUN
pv63fx73n73	3	34	structure	structure	NOUN
pv63fx73n73	3	35	,	,	PUNCT
pv63fx73n73	3	36	residual	residual	ADJ
pv63fx73n73	3	37	bootstrap	bootstrap	NOUN
pv63fx73n73	3	38	and	and	CCONJ
pv63fx73n73	3	39	forecasts	forecast	NOUN
pv63fx73n73	3	40	combination	combination	NOUN
pv63fx73n73	3	41	are	be	AUX
pv63fx73n73	3	42	investigated	investigate	VERB
pv63fx73n73	3	43	.	.	PUNCT
pv63fx73n73	4	1	the	the	DET
pv63fx73n73	4	2	first	first	ADJ
pv63fx73n73	4	3	proposed	propose	VERB
pv63fx73n73	4	4	procedure	procedure	NOUN
pv63fx73n73	4	5	applies	apply	VERB
pv63fx73n73	4	6	lasso	lasso	NOUN
pv63fx73n73	4	7	-	-	PUNCT
pv63fx73n73	4	8	based	base	VERB
pv63fx73n73	4	9	penalties	penalty	NOUN
pv63fx73n73	4	10	on	on	ADP
pv63fx73n73	4	11	both	both	DET
pv63fx73n73	4	12	coefficients	coefficient	NOUN
pv63fx73n73	4	13	and	and	CCONJ
pv63fx73n73	4	14	inverse	inverse	ADJ
pv63fx73n73	4	15	covariance	covariance	NOUN
pv63fx73n73	4	16	matrix	matrix	NOUN
pv63fx73n73	4	17	estimation	estimation	NOUN
pv63fx73n73	4	18	in	in	ADP
pv63fx73n73	4	19	nonparametric	nonparametric	NOUN
pv63fx73n73	4	20	varying	varying	NOUN
pv63fx73n73	4	21	-	-	PUNCT
pv63fx73n73	4	22	coefficient	coefficient	NOUN
pv63fx73n73	4	23	models	model	NOUN
pv63fx73n73	4	24	in	in	ADP
pv63fx73n73	4	25	fgwas	fgwa	VERB
pv63fx73n73	4	26	to	to	PART
pv63fx73n73	4	27	select	select	VERB
pv63fx73n73	4	28	snps	snps	PROPN
pv63fx73n73	4	29	that	that	PRON
pv63fx73n73	4	30	are	be	AUX
pv63fx73n73	4	31	significantly	significantly	ADV
pv63fx73n73	4	32	associated	associate	VERB
pv63fx73n73	4	33	with	with	ADP
pv63fx73n73	4	34	an	an	DET
pv63fx73n73	4	35	interested	interested	ADJ
pv63fx73n73	4	36	phenotypic	phenotypic	ADJ
pv63fx73n73	4	37	trait	trait	NOUN
pv63fx73n73	4	38	based	base	VERB
pv63fx73n73	4	39	on	on	ADP
pv63fx73n73	4	40	limited	limited	ADJ
pv63fx73n73	4	41	number	number	NOUN
pv63fx73n73	4	42	of	of	ADP
pv63fx73n73	4	43	measurements	measurement	NOUN
pv63fx73n73	4	44	.	.	PUNCT
pv63fx73n73	5	1	the	the	DET
pv63fx73n73	5	2	genetic	genetic	ADJ
pv63fx73n73	5	3	effects	effect	NOUN
pv63fx73n73	5	4	of	of	ADP
pv63fx73n73	5	5	snps	snps	PROPN
pv63fx73n73	5	6	are	be	AUX
pv63fx73n73	5	7	time	time	NOUN
pv63fx73n73	5	8	-	-	PUNCT
pv63fx73n73	5	9	varying	vary	VERB
pv63fx73n73	5	10	and	and	CCONJ
pv63fx73n73	5	11	the	the	DET
pv63fx73n73	5	12	phenotypic	phenotypic	ADJ
pv63fx73n73	5	13	trait	trait	NOUN
pv63fx73n73	5	14	is	be	AUX
pv63fx73n73	5	15	measured	measure	VERB
pv63fx73n73	5	16	repeatedly	repeatedly	ADV
pv63fx73n73	5	17	.	.	PUNCT
pv63fx73n73	6	1	the	the	DET
pv63fx73n73	6	2	procedure	procedure	NOUN
pv63fx73n73	6	3	provides	provide	VERB
pv63fx73n73	6	4	satisfactory	satisfactory	ADJ
pv63fx73n73	6	5	variable	variable	ADJ
pv63fx73n73	6	6	selection	selection	NOUN
pv63fx73n73	6	7	results	result	NOUN
pv63fx73n73	6	8	in	in	ADP
pv63fx73n73	6	9	simulation	simulation	NOUN
pv63fx73n73	6	10	,	,	PUNCT
pv63fx73n73	6	11	facilitates	facilitate	VERB
pv63fx73n73	6	12	model	model	NOUN
pv63fx73n73	6	13	interpretation	interpretation	NOUN
pv63fx73n73	6	14	and	and	CCONJ
pv63fx73n73	6	15	enhances	enhance	VERB
pv63fx73n73	6	16	variable	variable	ADJ
pv63fx73n73	6	17	selection	selection	NOUN
pv63fx73n73	6	18	power	power	NOUN
pv63fx73n73	6	19	with	with	ADP
pv63fx73n73	6	20	sparse	sparse	ADJ
pv63fx73n73	6	21	inverse	inverse	ADJ
pv63fx73n73	6	22	covariance	covariance	NOUN
pv63fx73n73	6	23	matrix	matrix	NOUN
pv63fx73n73	6	24	estimation	estimation	NOUN
pv63fx73n73	6	25	.	.	PUNCT
pv63fx73n73	7	1	the	the	DET
pv63fx73n73	7	2	rest	rest	NOUN
pv63fx73n73	7	3	of	of	ADP
pv63fx73n73	7	4	the	the	DET
pv63fx73n73	7	5	dissertation	dissertation	NOUN
pv63fx73n73	7	6	is	be	AUX
pv63fx73n73	7	7	about	about	ADP
pv63fx73n73	7	8	penalized	penalize	VERB
pv63fx73n73	7	9	linear	linear	ADJ
pv63fx73n73	7	10	regressions	regression	NOUN
pv63fx73n73	7	11	in	in	ADP
pv63fx73n73	7	12	macroeconomic	macroeconomic	ADJ
pv63fx73n73	7	13	forecasting	forecasting	NOUN
pv63fx73n73	7	14	.	.	PUNCT
pv63fx73n73	8	1	lasso	lasso	PROPN
pv63fx73n73	8	2	and	and	CCONJ
pv63fx73n73	8	3	scad	scad	PROPN
pv63fx73n73	8	4	regressions	regression	NOUN
pv63fx73n73	8	5	are	be	AUX
pv63fx73n73	8	6	first	first	ADV
pv63fx73n73	8	7	examined	examine	VERB
pv63fx73n73	8	8	as	as	ADP
pv63fx73n73	8	9	two	two	NUM
pv63fx73n73	8	10	alternative	alternative	ADJ
pv63fx73n73	8	11	forecasting	forecasting	NOUN
pv63fx73n73	8	12	methods	method	NOUN
pv63fx73n73	8	13	.	.	PUNCT
pv63fx73n73	9	1	based	base	VERB
pv63fx73n73	9	2	on	on	ADP
pv63fx73n73	9	3	comparison	comparison	NOUN
pv63fx73n73	9	4	in	in	ADP
pv63fx73n73	9	5	simulation	simulation	NOUN
pv63fx73n73	9	6	and	and	CCONJ
pv63fx73n73	9	7	real	real	ADJ
pv63fx73n73	9	8	examples	example	NOUN
pv63fx73n73	9	9	,	,	PUNCT
pv63fx73n73	9	10	scad	scad	PROPN
pv63fx73n73	9	11	penalty	penalty	NOUN
pv63fx73n73	9	12	is	be	AUX
pv63fx73n73	9	13	recommended	recommend	VERB
pv63fx73n73	9	14	over	over	ADP
pv63fx73n73	9	15	lasso	lasso	NOUN
pv63fx73n73	9	16	penalty	penalty	NOUN
pv63fx73n73	9	17	for	for	ADP
pv63fx73n73	9	18	macroeconomic	macroeconomic	ADJ
pv63fx73n73	9	19	data	datum	NOUN
pv63fx73n73	9	20	because	because	SCONJ
pv63fx73n73	9	21	they	they	PRON
pv63fx73n73	9	22	are	be	AUX
pv63fx73n73	9	23	grouped	group	VERB
pv63fx73n73	9	24	data	datum	NOUN
pv63fx73n73	9	25	and	and	CCONJ
pv63fx73n73	9	26	model	model	NOUN
pv63fx73n73	9	27	mis	mis	PROPN
pv63fx73n73	9	28	-	-	PUNCT
pv63fx73n73	9	29	specication	specication	NOUN
pv63fx73n73	9	30	risks	risk	NOUN
pv63fx73n73	9	31	have	have	VERB
pv63fx73n73	9	32	to	to	PART
pv63fx73n73	9	33	be	be	AUX
pv63fx73n73	9	34	considered	consider	VERB
pv63fx73n73	9	35	.	.	PUNCT
pv63fx73n73	10	1	with	with	ADP
pv63fx73n73	10	2	such	such	ADJ
pv63fx73n73	10	3	recommendation	recommendation	NOUN
pv63fx73n73	10	4	,	,	PUNCT
pv63fx73n73	10	5	scad	scad	PROPN
pv63fx73n73	10	6	penalty	penalty	PROPN
pv63fx73n73	10	7	is	be	AUX
pv63fx73n73	10	8	further	far	ADV
pv63fx73n73	10	9	extended	extend	VERB
pv63fx73n73	10	10	to	to	ADP
pv63fx73n73	10	11	group	group	NOUN
pv63fx73n73	10	12	scad	scad	PROPN
pv63fx73n73	10	13	regression	regression	PROPN
pv63fx73n73	10	14	,	,	PUNCT
pv63fx73n73	10	15	scad	scad	PROPN
pv63fx73n73	10	16	regression	regression	NOUN
pv63fx73n73	10	17	with	with	ADP
pv63fx73n73	10	18	residual	residual	ADJ
pv63fx73n73	10	19	bootstrap	bootstrap	NOUN
pv63fx73n73	10	20	and	and	CCONJ
pv63fx73n73	10	21	group	group	NOUN
pv63fx73n73	10	22	scad	scad	PROPN
pv63fx73n73	10	23	regression	regression	NOUN
pv63fx73n73	10	24	with	with	ADP
pv63fx73n73	10	25	residual	residual	ADJ
pv63fx73n73	10	26	bootstrap	bootstrap	NOUN
pv63fx73n73	10	27	.	.	PUNCT
pv63fx73n73	11	1	group	group	NOUN
pv63fx73n73	11	2	scad	scad	PROPN
pv63fx73n73	11	3	penalty	penalty	PROPN
pv63fx73n73	11	4	provides	provide	VERB
pv63fx73n73	11	5	more	more	ADV
pv63fx73n73	11	6	consistent	consistent	ADJ
pv63fx73n73	11	7	variable	variable	ADJ
pv63fx73n73	11	8	selection	selection	NOUN
pv63fx73n73	11	9	results	result	NOUN
pv63fx73n73	11	10	and	and	CCONJ
pv63fx73n73	11	11	enhances	enhance	VERB
pv63fx73n73	11	12	model	model	NOUN
pv63fx73n73	11	13	interpretability	interpretability	NOUN
pv63fx73n73	11	14	.	.	PUNCT
pv63fx73n73	12	1	residual	residual	ADJ
pv63fx73n73	12	2	bootstrap	bootstrap	NOUN
pv63fx73n73	12	3	increases	increase	VERB
pv63fx73n73	12	4	model	model	NOUN
pv63fx73n73	12	5	selection	selection	NOUN
pv63fx73n73	12	6	stability	stability	NOUN
pv63fx73n73	12	7	.	.	PUNCT
pv63fx73n73	13	1	group	group	NOUN
pv63fx73n73	13	2	scad	scad	PROPN
pv63fx73n73	13	3	regression	regression	NOUN
pv63fx73n73	13	4	with	with	ADP
pv63fx73n73	13	5	residual	residual	ADJ
pv63fx73n73	13	6	bootstrap	bootstrap	NOUN
pv63fx73n73	13	7	and	and	CCONJ
pv63fx73n73	13	8	scad	scad	PROPN
pv63fx73n73	13	9	regression	regression	NOUN
pv63fx73n73	13	10	significantly	significantly	ADV
pv63fx73n73	13	11	improve	improve	VERB
pv63fx73n73	13	12	forecast	forecast	NOUN
pv63fx73n73	13	13	accuracy	accuracy	NOUN
pv63fx73n73	13	14	for	for	ADP
pv63fx73n73	13	15	most	most	ADJ
pv63fx73n73	13	16	macroeconomic	macroeconomic	ADJ
pv63fx73n73	13	17	variables	variable	NOUN
pv63fx73n73	13	18	.	.	PUNCT
pv63fx73n73	14	1	in	in	ADP
pv63fx73n73	14	2	the	the	DET
pv63fx73n73	14	3	end	end	NOUN
pv63fx73n73	14	4	,	,	PUNCT
pv63fx73n73	14	5	the	the	DET
pv63fx73n73	14	6	forecasts	forecast	NOUN
pv63fx73n73	14	7	combination	combination	NOUN
pv63fx73n73	14	8	of	of	ADP
pv63fx73n73	14	9	scad	scad	PROPN
pv63fx73n73	14	10	-	-	PUNCT
pv63fx73n73	14	11	related	relate	VERB
pv63fx73n73	14	12	models	model	NOUN
pv63fx73n73	14	13	and	and	CCONJ
pv63fx73n73	14	14	dynamic	dynamic	ADJ
pv63fx73n73	14	15	factor	factor	NOUN
pv63fx73n73	14	16	model	model	NOUN
pv63fx73n73	14	17	are	be	AUX
pv63fx73n73	14	18	studied	study	VERB
pv63fx73n73	14	19	.	.	PUNCT
pv63fx73n73	15	1	the	the	DET
pv63fx73n73	15	2	combined	combine	VERB
pv63fx73n73	15	3	forecast	forecast	NOUN
pv63fx73n73	15	4	shows	show	VERB
pv63fx73n73	15	5	advantages	advantage	NOUN
pv63fx73n73	15	6	over	over	ADP
pv63fx73n73	15	7	individual	individual	ADJ
pv63fx73n73	15	8	forecasts	forecast	NOUN
pv63fx73n73	15	9	in	in	ADP
pv63fx73n73	15	10	out	out	ADP
pv63fx73n73	15	11	-	-	PUNCT
pv63fx73n73	15	12	of	of	ADP
pv63fx73n73	15	13	-	-	PUNCT
pv63fx73n73	15	14	sample	sample	NOUN
pv63fx73n73	15	15	forecasting	forecasting	NOUN
pv63fx73n73	15	16	.	.	PUNCT