id	sid	tid	token	lemma	pos
app01-5322	1	1	acta	acta	PROPN
app01-5322	1	2	polytechnica	polytechnica	PROPN
app01-5322	1	3	ctu	ctu	PROPN
app01-5322	1	4	proceedings	proceeding	NOUN
app01-5322	1	5	doi:10.14311	doi:10.14311	NOUN
app01-5322	1	6	/	/	SYM
app01-5322	1	7	app.2018.15.0041	app.2018.15.0041	PROPN
app01-5322	1	8	acta	acta	PROPN
app01-5322	1	9	polytechnica	polytechnica	PROPN
app01-5322	1	10	ctu	ctu	PROPN
app01-5322	1	11	proceedings	proceeding	NOUN
app01-5322	1	12	15:41–45	15:41–45	NUM
app01-5322	1	13	,	,	PUNCT
app01-5322	1	14	2018	2018	NUM
app01-5322	1	15	©	©	PROPN
app01-5322	1	16	czech	czech	PROPN
app01-5322	1	17	technical	technical	PROPN
app01-5322	1	18	university	university	PROPN
app01-5322	1	19	in	in	ADP
app01-5322	1	20	prague	prague	PROPN
app01-5322	1	21	,	,	PUNCT
app01-5322	1	22	2018	2018	NUM
app01-5322	1	23	available	available	ADJ
app01-5322	1	24	online	online	ADV
app01-5322	1	25	at	at	ADP
app01-5322	1	26	http://ojs.cvut.cz/ojs/index.php/app	http://ojs.cvut.cz/ojs/index.php/app	NOUN
app01-5322	1	27	bayesian	bayesian	NOUN
app01-5322	1	28	inference	inference	NOUN
app01-5322	1	29	of	of	ADP
app01-5322	1	30	heterogeneous	heterogeneous	ADJ
app01-5322	1	31	viscoplastic	viscoplastic	ADJ
app01-5322	1	32	material	material	NOUN
app01-5322	1	33	parameters	parameter	NOUN
app01-5322	1	34	eliška	eliška	PROPN
app01-5322	1	35	janouchová∗	janouchová∗	PROPN
app01-5322	1	36	,	,	PUNCT
app01-5322	1	37	anna	anna	PROPN
app01-5322	1	38	kučerová	kučerová	PROPN
app01-5322	1	39	faculty	faculty	NOUN
app01-5322	1	40	of	of	ADP
app01-5322	1	41	civil	civil	ADJ
app01-5322	1	42	engineering	engineering	NOUN
app01-5322	1	43	,	,	PUNCT
app01-5322	1	44	czech	czech	PROPN
app01-5322	1	45	technical	technical	PROPN
app01-5322	1	46	university	university	PROPN
app01-5322	1	47	in	in	ADP
app01-5322	1	48	prague	prague	PROPN
app01-5322	1	49	,	,	PUNCT
app01-5322	1	50	thákurova	thákurova	PROPN
app01-5322	1	51	7	7	NUM
app01-5322	1	52	,	,	PUNCT
app01-5322	1	53	prague	prague	NOUN
app01-5322	1	54	,	,	PUNCT
app01-5322	1	55	czech	czech	PROPN
app01-5322	1	56	republic	republic	NOUN
app01-5322	1	57	∗	∗	NOUN
app01-5322	1	58	corresponding	correspond	VERB
app01-5322	1	59	author	author	NOUN
app01-5322	1	60	:	:	PUNCT
app01-5322	1	61	eliska.janouchova@fsv.cvut.cz	eliska.janouchova@fsv.cvut.cz	NOUN
app01-5322	1	62	abstract	abstract	NOUN
app01-5322	1	63	.	.	PUNCT
app01-5322	2	1	modelling	modelling	NOUN
app01-5322	2	2	of	of	ADP
app01-5322	2	3	heterogeneous	heterogeneous	ADJ
app01-5322	2	4	materials	material	NOUN
app01-5322	2	5	based	base	VERB
app01-5322	2	6	on	on	ADP
app01-5322	2	7	randomness	randomness	NOUN
app01-5322	2	8	of	of	ADP
app01-5322	2	9	model	model	NOUN
app01-5322	2	10	input	input	NOUN
app01-5322	2	11	parameters	parameter	NOUN
app01-5322	2	12	involves	involve	VERB
app01-5322	2	13	parameter	parameter	NOUN
app01-5322	2	14	identification	identification	NOUN
app01-5322	2	15	which	which	PRON
app01-5322	2	16	is	be	AUX
app01-5322	2	17	focused	focus	VERB
app01-5322	2	18	on	on	ADP
app01-5322	2	19	solving	solve	VERB
app01-5322	2	20	a	a	DET
app01-5322	2	21	stochastic	stochastic	ADJ
app01-5322	2	22	inversion	inversion	NOUN
app01-5322	2	23	problem	problem	NOUN
app01-5322	2	24	.	.	PUNCT
app01-5322	3	1	it	it	PRON
app01-5322	3	2	can	can	AUX
app01-5322	3	3	be	be	AUX
app01-5322	3	4	formulated	formulate	VERB
app01-5322	3	5	as	as	ADP
app01-5322	3	6	a	a	DET
app01-5322	3	7	search	search	NOUN
app01-5322	3	8	for	for	ADP
app01-5322	3	9	probabilistic	probabilistic	ADJ
app01-5322	3	10	description	description	NOUN
app01-5322	3	11	of	of	ADP
app01-5322	3	12	model	model	NOUN
app01-5322	3	13	parameters	parameter	NOUN
app01-5322	3	14	providing	provide	VERB
app01-5322	3	15	the	the	DET
app01-5322	3	16	distribution	distribution	NOUN
app01-5322	3	17	of	of	ADP
app01-5322	3	18	the	the	DET
app01-5322	3	19	model	model	NOUN
app01-5322	3	20	response	response	NOUN
app01-5322	3	21	corresponding	correspond	VERB
app01-5322	3	22	to	to	ADP
app01-5322	3	23	the	the	DET
app01-5322	3	24	distribution	distribution	NOUN
app01-5322	3	25	of	of	ADP
app01-5322	3	26	the	the	DET
app01-5322	3	27	observed	observe	VERB
app01-5322	3	28	data	datum	NOUN
app01-5322	3	29	.	.	PUNCT
app01-5322	4	1	in	in	ADP
app01-5322	4	2	this	this	DET
app01-5322	4	3	contribution	contribution	NOUN
app01-5322	4	4	,	,	PUNCT
app01-5322	4	5	a	a	DET
app01-5322	4	6	numerical	numerical	ADJ
app01-5322	4	7	model	model	NOUN
app01-5322	4	8	of	of	ADP
app01-5322	4	9	kinematic	kinematic	NOUN
app01-5322	4	10	and	and	CCONJ
app01-5322	4	11	isotropic	isotropic	ADJ
app01-5322	4	12	hardening	hardening	NOUN
app01-5322	4	13	for	for	ADP
app01-5322	4	14	viscoplastic	viscoplastic	ADJ
app01-5322	4	15	material	material	NOUN
app01-5322	4	16	is	be	AUX
app01-5322	4	17	calibrated	calibrate	VERB
app01-5322	4	18	on	on	ADP
app01-5322	4	19	a	a	DET
app01-5322	4	20	basis	basis	NOUN
app01-5322	4	21	of	of	ADP
app01-5322	4	22	experimental	experimental	ADJ
app01-5322	4	23	data	datum	NOUN
app01-5322	4	24	from	from	ADP
app01-5322	4	25	a	a	DET
app01-5322	4	26	cyclic	cyclic	ADJ
app01-5322	4	27	loading	loading	NOUN
app01-5322	4	28	test	test	NOUN
app01-5322	4	29	at	at	ADP
app01-5322	4	30	a	a	DET
app01-5322	4	31	high	high	ADJ
app01-5322	4	32	temperature	temperature	NOUN
app01-5322	4	33	.	.	PUNCT
app01-5322	5	1	five	five	NUM
app01-5322	5	2	material	material	NOUN
app01-5322	5	3	model	model	NOUN
app01-5322	5	4	parameters	parameter	NOUN
app01-5322	5	5	are	be	AUX
app01-5322	5	6	identified	identify	VERB
app01-5322	5	7	in	in	ADP
app01-5322	5	8	probabilistic	probabilistic	ADJ
app01-5322	5	9	setting	setting	NOUN
app01-5322	5	10	.	.	PUNCT
app01-5322	6	1	the	the	DET
app01-5322	6	2	core	core	NOUN
app01-5322	6	3	of	of	ADP
app01-5322	6	4	the	the	DET
app01-5322	6	5	identification	identification	NOUN
app01-5322	6	6	method	method	NOUN
app01-5322	6	7	is	be	AUX
app01-5322	6	8	the	the	DET
app01-5322	6	9	bayesian	bayesian	NOUN
app01-5322	6	10	inference	inference	NOUN
app01-5322	6	11	of	of	ADP
app01-5322	6	12	uncertain	uncertain	ADJ
app01-5322	6	13	statistical	statistical	ADJ
app01-5322	6	14	moments	moment	NOUN
app01-5322	6	15	of	of	ADP
app01-5322	6	16	a	a	DET
app01-5322	6	17	prescribed	prescribed	ADJ
app01-5322	6	18	joint	joint	ADJ
app01-5322	6	19	lognormal	lognormal	ADJ
app01-5322	6	20	distribution	distribution	NOUN
app01-5322	6	21	of	of	ADP
app01-5322	6	22	the	the	DET
app01-5322	6	23	parameters	parameter	NOUN
app01-5322	6	24	.	.	PUNCT
app01-5322	7	1	at	at	ADP
app01-5322	7	2	first	first	ADV
app01-5322	7	3	,	,	PUNCT
app01-5322	7	4	synthetic	synthetic	ADJ
app01-5322	7	5	experimental	experimental	ADJ
app01-5322	7	6	data	datum	NOUN
app01-5322	7	7	are	be	AUX
app01-5322	7	8	used	use	VERB
app01-5322	7	9	to	to	PART
app01-5322	7	10	verify	verify	VERB
app01-5322	7	11	the	the	DET
app01-5322	7	12	identification	identification	NOUN
app01-5322	7	13	procedure	procedure	NOUN
app01-5322	7	14	,	,	PUNCT
app01-5322	7	15	then	then	ADV
app01-5322	7	16	the	the	DET
app01-5322	7	17	real	real	ADJ
app01-5322	7	18	experimental	experimental	ADJ
app01-5322	7	19	data	datum	NOUN
app01-5322	7	20	are	be	AUX
app01-5322	7	21	processed	process	VERB
app01-5322	7	22	to	to	PART
app01-5322	7	23	calibrate	calibrate	VERB
app01-5322	7	24	the	the	DET
app01-5322	7	25	material	material	NOUN
app01-5322	7	26	model	model	NOUN
app01-5322	7	27	of	of	ADP
app01-5322	7	28	copper	copper	NOUN
app01-5322	7	29	alloy	alloy	NOUN
app01-5322	7	30	.	.	PUNCT
app01-5322	8	1	keywords	keyword	NOUN
app01-5322	8	2	:	:	PUNCT
app01-5322	8	3	parameter	parameter	NOUN
app01-5322	8	4	identification	identification	NOUN
app01-5322	8	5	,	,	PUNCT
app01-5322	8	6	bayesian	bayesian	NOUN
app01-5322	8	7	inference	inference	NOUN
app01-5322	8	8	,	,	PUNCT
app01-5322	8	9	hierarchical	hierarchical	ADJ
app01-5322	8	10	modelling	modelling	NOUN
app01-5322	8	11	,	,	PUNCT
app01-5322	8	12	aleatory	aleatory	ADJ
app01-5322	8	13	uncertainty	uncertainty	NOUN
app01-5322	8	14	,	,	PUNCT
app01-5322	8	15	kinematic	kinematic	ADJ
app01-5322	8	16	and	and	CCONJ
app01-5322	8	17	isotropic	isotropic	ADJ
app01-5322	8	18	hardening	hardening	NOUN
app01-5322	8	19	.	.	PUNCT
app01-5322	9	1	1	1	X
app01-5322	9	2	.	.	X
app01-5322	9	3	introduction	introduction	NOUN
app01-5322	9	4	reliable	reliable	ADJ
app01-5322	9	5	predicting	predict	VERB
app01-5322	9	6	behaviour	behaviour	NOUN
app01-5322	9	7	of	of	ADP
app01-5322	9	8	an	an	DET
app01-5322	9	9	investigated	investigate	VERB
app01-5322	9	10	system	system	NOUN
app01-5322	9	11	in	in	ADP
app01-5322	9	12	a	a	DET
app01-5322	9	13	computational	computational	ADJ
app01-5322	9	14	way	way	NOUN
app01-5322	9	15	requires	require	VERB
app01-5322	9	16	proper	proper	ADJ
app01-5322	9	17	calibration	calibration	NOUN
app01-5322	9	18	of	of	ADP
app01-5322	9	19	the	the	DET
app01-5322	9	20	corresponding	corresponding	ADJ
app01-5322	9	21	numerical	numerical	PROPN
app01-5322	9	22	model	model	NOUN
app01-5322	9	23	.	.	PUNCT
app01-5322	10	1	this	this	DET
app01-5322	10	2	contribution	contribution	NOUN
app01-5322	10	3	concentrates	concentrate	VERB
app01-5322	10	4	on	on	ADP
app01-5322	10	5	modelling	model	VERB
app01-5322	10	6	heterogeneous	heterogeneous	ADJ
app01-5322	10	7	materials	material	NOUN
app01-5322	10	8	,	,	PUNCT
app01-5322	10	9	where	where	SCONJ
app01-5322	10	10	the	the	DET
app01-5322	10	11	heterogeneity	heterogeneity	NOUN
app01-5322	10	12	is	be	AUX
app01-5322	10	13	captured	capture	VERB
app01-5322	10	14	by	by	ADP
app01-5322	10	15	randomness	randomness	NOUN
app01-5322	10	16	of	of	ADP
app01-5322	10	17	model	model	NOUN
app01-5322	10	18	input	input	NOUN
app01-5322	10	19	parameters	parameter	NOUN
app01-5322	10	20	.	.	PUNCT
app01-5322	11	1	the	the	DET
app01-5322	11	2	spatial	spatial	ADJ
app01-5322	11	3	variability	variability	NOUN
app01-5322	11	4	of	of	ADP
app01-5322	11	5	mechanical	mechanical	ADJ
app01-5322	11	6	properties	property	NOUN
app01-5322	11	7	in	in	ADP
app01-5322	11	8	heterogeneous	heterogeneous	ADJ
app01-5322	11	9	materials	material	NOUN
app01-5322	11	10	,	,	PUNCT
app01-5322	11	11	e.g.	e.g.	ADV
app01-5322	11	12	elastic	elastic	ADJ
app01-5322	11	13	modulus	modulus	NOUN
app01-5322	11	14	or	or	CCONJ
app01-5322	11	15	yield	yield	VERB
app01-5322	11	16	stress	stress	NOUN
app01-5322	11	17	,	,	PUNCT
app01-5322	11	18	affects	affect	VERB
app01-5322	11	19	behaviour	behaviour	NOUN
app01-5322	11	20	of	of	ADP
app01-5322	11	21	the	the	DET
app01-5322	11	22	investigated	investigate	VERB
app01-5322	11	23	structural	structural	ADJ
app01-5322	11	24	system	system	NOUN
app01-5322	11	25	under	under	ADP
app01-5322	11	26	the	the	DET
app01-5322	11	27	loading	loading	NOUN
app01-5322	11	28	.	.	PUNCT
app01-5322	12	1	this	this	PRON
app01-5322	12	2	can	can	AUX
app01-5322	12	3	be	be	AUX
app01-5322	12	4	demonstrated	demonstrate	VERB
app01-5322	12	5	by	by	ADP
app01-5322	12	6	repeating	repeat	VERB
app01-5322	12	7	a	a	DET
app01-5322	12	8	laboratory	laboratory	NOUN
app01-5322	12	9	test	test	NOUN
app01-5322	12	10	for	for	ADP
app01-5322	12	11	an	an	DET
app01-5322	12	12	ensemble	ensemble	NOUN
app01-5322	12	13	of	of	ADP
app01-5322	12	14	specimens	specimen	NOUN
app01-5322	12	15	made	make	VERB
app01-5322	12	16	of	of	ADP
app01-5322	12	17	the	the	DET
app01-5322	12	18	same	same	ADJ
app01-5322	12	19	heterogeneous	heterogeneous	ADJ
app01-5322	12	20	material	material	NOUN
app01-5322	12	21	.	.	PUNCT
app01-5322	13	1	calibration	calibration	NOUN
app01-5322	13	2	of	of	ADP
app01-5322	13	3	a	a	DET
app01-5322	13	4	heterogeneous	heterogeneous	ADJ
app01-5322	13	5	material	material	NOUN
app01-5322	13	6	model	model	NOUN
app01-5322	13	7	can	can	AUX
app01-5322	13	8	be	be	AUX
app01-5322	13	9	perceived	perceive	VERB
app01-5322	13	10	as	as	ADP
app01-5322	13	11	identification	identification	NOUN
app01-5322	13	12	of	of	ADP
app01-5322	13	13	its	its	PRON
app01-5322	13	14	parameters	parameter	NOUN
app01-5322	13	15	’	’	PART
app01-5322	13	16	probability	probability	NOUN
app01-5322	13	17	distribution	distribution	NOUN
app01-5322	13	18	when	when	SCONJ
app01-5322	13	19	the	the	DET
app01-5322	13	20	corresponding	corresponding	ADJ
app01-5322	13	21	model	model	NOUN
app01-5322	13	22	response	response	NOUN
app01-5322	13	23	has	have	VERB
app01-5322	13	24	the	the	DET
app01-5322	13	25	distribution	distribution	NOUN
app01-5322	13	26	as	as	ADV
app01-5322	13	27	much	much	ADV
app01-5322	13	28	as	as	ADP
app01-5322	13	29	possible	possible	ADJ
app01-5322	13	30	similar	similar	ADJ
app01-5322	13	31	to	to	ADP
app01-5322	13	32	the	the	DET
app01-5322	13	33	distribution	distribution	NOUN
app01-5322	13	34	of	of	ADP
app01-5322	13	35	the	the	DET
app01-5322	13	36	observed	observe	VERB
app01-5322	13	37	data	datum	NOUN
app01-5322	13	38	.	.	PUNCT
app01-5322	14	1	the	the	DET
app01-5322	14	2	probabilistic	probabilistic	ADJ
app01-5322	14	3	identification	identification	NOUN
app01-5322	14	4	of	of	ADP
app01-5322	14	5	random	random	ADJ
app01-5322	14	6	variables	variable	NOUN
app01-5322	14	7	is	be	AUX
app01-5322	14	8	called	call	VERB
app01-5322	14	9	a	a	DET
app01-5322	14	10	stochastic	stochastic	ADJ
app01-5322	14	11	inversion	inversion	NOUN
app01-5322	14	12	problem	problem	NOUN
app01-5322	14	13	.	.	PUNCT
app01-5322	15	1	stochastic	stochastic	ADJ
app01-5322	15	2	inversion	inversion	NOUN
app01-5322	15	3	enables	enable	VERB
app01-5322	15	4	to	to	PART
app01-5322	15	5	infer	infer	VERB
app01-5322	15	6	a	a	DET
app01-5322	15	7	probability	probability	NOUN
app01-5322	15	8	distribution	distribution	NOUN
app01-5322	15	9	of	of	ADP
app01-5322	15	10	the	the	DET
app01-5322	15	11	unknown	unknown	ADJ
app01-5322	15	12	model	model	NOUN
app01-5322	15	13	parameters	parameter	NOUN
app01-5322	15	14	from	from	ADP
app01-5322	15	15	indirect	indirect	ADJ
app01-5322	15	16	experimental	experimental	ADJ
app01-5322	15	17	measurements	measurement	NOUN
app01-5322	15	18	.	.	PUNCT
app01-5322	16	1	in	in	ADP
app01-5322	16	2	order	order	NOUN
app01-5322	16	3	to	to	PART
app01-5322	16	4	make	make	VERB
app01-5322	16	5	the	the	DET
app01-5322	16	6	identification	identification	NOUN
app01-5322	16	7	process	process	NOUN
app01-5322	16	8	successful	successful	ADJ
app01-5322	16	9	,	,	PUNCT
app01-5322	16	10	a	a	DET
app01-5322	16	11	proper	proper	ADJ
app01-5322	16	12	distinction	distinction	NOUN
app01-5322	16	13	of	of	ADP
app01-5322	16	14	occurring	occur	VERB
app01-5322	16	15	uncertainties	uncertainty	NOUN
app01-5322	16	16	is	be	AUX
app01-5322	16	17	required	require	VERB
app01-5322	16	18	.	.	PUNCT
app01-5322	17	1	essentially	essentially	ADV
app01-5322	17	2	,	,	PUNCT
app01-5322	17	3	uncertainties	uncertainty	NOUN
app01-5322	17	4	can	can	AUX
app01-5322	17	5	be	be	AUX
app01-5322	17	6	separated	separate	VERB
app01-5322	17	7	into	into	ADP
app01-5322	17	8	two	two	NUM
app01-5322	17	9	basic	basic	ADJ
app01-5322	17	10	groups	group	NOUN
app01-5322	17	11	.	.	PUNCT
app01-5322	18	1	the	the	DET
app01-5322	18	2	first	first	ADJ
app01-5322	18	3	one	one	NOUN
app01-5322	18	4	contains	contain	VERB
app01-5322	18	5	uncertainties	uncertainty	NOUN
app01-5322	18	6	connected	connect	VERB
app01-5322	18	7	to	to	ADP
app01-5322	18	8	a	a	DET
app01-5322	18	9	lack	lack	NOUN
app01-5322	18	10	of	of	ADP
app01-5322	18	11	knowledge	knowledge	NOUN
app01-5322	18	12	,	,	PUNCT
app01-5322	18	13	it	it	PRON
app01-5322	18	14	is	be	AUX
app01-5322	18	15	caused	cause	VERB
app01-5322	18	16	by	by	ADP
app01-5322	18	17	e.g.	e.g.	ADV
app01-5322	18	18	measurement	measurement	NOUN
app01-5322	18	19	errors	error	NOUN
app01-5322	18	20	or	or	CCONJ
app01-5322	18	21	a	a	DET
app01-5322	18	22	small	small	ADJ
app01-5322	18	23	number	number	NOUN
app01-5322	18	24	of	of	ADP
app01-5322	18	25	measurements	measurement	NOUN
app01-5322	18	26	.	.	PUNCT
app01-5322	19	1	this	this	DET
app01-5322	19	2	uncertainty	uncertainty	NOUN
app01-5322	19	3	is	be	AUX
app01-5322	19	4	called	call	VERB
app01-5322	19	5	epistemic	epistemic	ADJ
app01-5322	19	6	and	and	CCONJ
app01-5322	19	7	it	it	PRON
app01-5322	19	8	is	be	AUX
app01-5322	19	9	reducible	reducible	ADJ
app01-5322	19	10	by	by	ADP
app01-5322	19	11	any	any	DET
app01-5322	19	12	new	new	ADJ
app01-5322	19	13	information	information	NOUN
app01-5322	19	14	.	.	PUNCT
app01-5322	20	1	on	on	ADP
app01-5322	20	2	the	the	DET
app01-5322	20	3	other	other	ADJ
app01-5322	20	4	side	side	NOUN
app01-5322	20	5	,	,	PUNCT
app01-5322	20	6	there	there	PRON
app01-5322	20	7	is	be	VERB
app01-5322	20	8	irreducible	irreducible	ADJ
app01-5322	20	9	stochasticity	stochasticity	NOUN
app01-5322	20	10	called	call	VERB
app01-5322	20	11	aleatory	aleatory	ADJ
app01-5322	20	12	uncertainty	uncertainty	NOUN
app01-5322	20	13	or	or	CCONJ
app01-5322	20	14	simply	simply	ADV
app01-5322	20	15	variability	variability	NOUN
app01-5322	20	16	.	.	PUNCT
app01-5322	21	1	it	it	PRON
app01-5322	21	2	represents	represent	VERB
app01-5322	21	3	an	an	DET
app01-5322	21	4	inherent	inherent	ADJ
app01-5322	21	5	randomness	randomness	NOUN
app01-5322	21	6	which	which	PRON
app01-5322	21	7	originates	originate	VERB
app01-5322	21	8	from	from	ADP
app01-5322	21	9	modelling	model	VERB
app01-5322	21	10	a	a	DET
app01-5322	21	11	data	data	NOUN
app01-5322	21	12	collection	collection	NOUN
app01-5322	21	13	e.g.	e.g.	ADV
app01-5322	21	14	from	from	ADP
app01-5322	21	15	different	different	ADJ
app01-5322	21	16	locations	location	NOUN
app01-5322	21	17	or	or	CCONJ
app01-5322	21	18	times	time	NOUN
app01-5322	21	19	as	as	ADP
app01-5322	21	20	a	a	DET
app01-5322	21	21	random	random	ADJ
app01-5322	21	22	variable	variable	NOUN
app01-5322	21	23	[	[	X
app01-5322	21	24	1	1	NUM
app01-5322	21	25	]	]	PUNCT
app01-5322	21	26	.	.	PUNCT
app01-5322	22	1	an	an	DET
app01-5322	22	2	illustrative	illustrative	ADJ
app01-5322	22	3	examples	example	NOUN
app01-5322	22	4	of	of	ADP
app01-5322	22	5	uncertainties	uncertainty	NOUN
app01-5322	22	6	related	relate	VERB
app01-5322	22	7	to	to	ADP
app01-5322	22	8	material	material	NOUN
app01-5322	22	9	properties	property	NOUN
app01-5322	22	10	are	be	AUX
app01-5322	22	11	presented	present	VERB
app01-5322	22	12	in	in	ADP
app01-5322	22	13	figure	figure	NOUN
app01-5322	22	14	1	1	NUM
app01-5322	22	15	.	.	PUNCT
app01-5322	22	16	identification	identification	NOUN
app01-5322	22	17	procedure	procedure	NOUN
app01-5322	22	18	of	of	ADP
app01-5322	22	19	heterogeneous	heterogeneous	ADJ
app01-5322	22	20	material	material	NOUN
app01-5322	22	21	properties	property	NOUN
app01-5322	22	22	from	from	ADP
app01-5322	22	23	indirect	indirect	ADJ
app01-5322	22	24	noisy	noisy	ADJ
app01-5322	22	25	measurements	measurement	NOUN
app01-5322	22	26	having	have	VERB
app01-5322	22	27	a	a	DET
app01-5322	22	28	numerical	numerical	ADJ
app01-5322	22	29	model	model	NOUN
app01-5322	22	30	describing	describe	VERB
app01-5322	22	31	the	the	DET
app01-5322	22	32	nonlinear	nonlinear	ADJ
app01-5322	22	33	relationship	relationship	NOUN
app01-5322	22	34	between	between	ADP
app01-5322	22	35	the	the	DET
app01-5322	22	36	unknown	unknown	ADJ
app01-5322	22	37	inputs	input	NOUN
app01-5322	22	38	and	and	CCONJ
app01-5322	22	39	observed	observed	ADJ
app01-5322	22	40	outputs	output	NOUN
app01-5322	22	41	is	be	AUX
app01-5322	22	42	presented	present	VERB
app01-5322	22	43	in	in	ADP
app01-5322	22	44	section	section	NOUN
app01-5322	22	45	2	2	NUM
app01-5322	22	46	.	.	PUNCT
app01-5322	23	1	the	the	DET
app01-5322	23	2	principle	principle	NOUN
app01-5322	23	3	of	of	ADP
app01-5322	23	4	the	the	DET
app01-5322	23	5	method	method	NOUN
app01-5322	23	6	is	be	AUX
app01-5322	23	7	a	a	DET
app01-5322	23	8	choice	choice	NOUN
app01-5322	23	9	of	of	ADP
app01-5322	23	10	a	a	DET
app01-5322	23	11	certain	certain	ADJ
app01-5322	23	12	form	form	NOUN
app01-5322	23	13	of	of	ADP
app01-5322	23	14	probability	probability	NOUN
app01-5322	23	15	density	density	NOUN
app01-5322	23	16	function	function	NOUN
app01-5322	23	17	(	(	PUNCT
app01-5322	23	18	pdf	pdf	NOUN
app01-5322	23	19	)	)	PUNCT
app01-5322	23	20	of	of	ADP
app01-5322	23	21	the	the	DET
app01-5322	23	22	unknown	unknown	ADJ
app01-5322	23	23	stochastic	stochastic	ADJ
app01-5322	23	24	model	model	NOUN
app01-5322	23	25	parameters	parameter	NOUN
app01-5322	23	26	whose	whose	DET
app01-5322	23	27	statistical	statistical	ADJ
app01-5322	23	28	moments	moment	NOUN
app01-5322	23	29	are	be	AUX
app01-5322	23	30	considered	consider	VERB
app01-5322	23	31	as	as	ADP
app01-5322	23	32	uncertain	uncertain	ADJ
app01-5322	23	33	random	random	ADJ
app01-5322	23	34	variables	variable	NOUN
app01-5322	23	35	.	.	PUNCT
app01-5322	24	1	the	the	DET
app01-5322	24	2	probabilistic	probabilistic	ADJ
app01-5322	24	3	identification	identification	NOUN
app01-5322	24	4	is	be	AUX
app01-5322	24	5	then	then	ADV
app01-5322	24	6	concentrated	concentrate	VERB
app01-5322	24	7	on	on	ADP
app01-5322	24	8	these	these	DET
app01-5322	24	9	so	so	ADV
app01-5322	24	10	-	-	PUNCT
app01-5322	24	11	called	call	VERB
app01-5322	24	12	hyperparameters	hyperparameter	NOUN
app01-5322	24	13	of	of	ADP
app01-5322	24	14	the	the	DET
app01-5322	24	15	parameters	parameter	NOUN
app01-5322	24	16	’	’	PART
app01-5322	24	17	distribution	distribution	NOUN
app01-5322	24	18	which	which	PRON
app01-5322	24	19	can	can	AUX
app01-5322	24	20	be	be	AUX
app01-5322	24	21	inferred	infer	VERB
app01-5322	24	22	in	in	ADP
app01-5322	24	23	the	the	DET
app01-5322	24	24	bayesian	bayesian	NOUN
app01-5322	24	25	way	way	NOUN
app01-5322	25	1	[	[	X
app01-5322	25	2	2	2	NUM
app01-5322	25	3	]	]	PUNCT
app01-5322	25	4	.	.	PUNCT
app01-5322	26	1	this	this	DET
app01-5322	26	2	approach	approach	NOUN
app01-5322	26	3	has	have	AUX
app01-5322	26	4	been	be	AUX
app01-5322	26	5	already	already	ADV
app01-5322	26	6	applied	apply	VERB
app01-5322	26	7	on	on	ADP
app01-5322	26	8	a	a	DET
app01-5322	26	9	very	very	ADV
app01-5322	26	10	simple	simple	ADJ
app01-5322	26	11	numerical	numerical	ADJ
app01-5322	26	12	example	example	NOUN
app01-5322	26	13	of	of	ADP
app01-5322	26	14	a	a	DET
app01-5322	26	15	cantilever	cantilever	NOUN
app01-5322	26	16	in	in	ADP
app01-5322	26	17	the	the	DET
app01-5322	26	18	authors	author	NOUN
app01-5322	26	19	’	’	PART
app01-5322	26	20	previous	previous	ADJ
app01-5322	26	21	work	work	NOUN
app01-5322	26	22	[	[	X
app01-5322	26	23	3	3	NUM
app01-5322	26	24	]	]	PUNCT
app01-5322	26	25	.	.	PUNCT
app01-5322	27	1	this	this	DET
app01-5322	27	2	contribution	contribution	NOUN
app01-5322	27	3	focuses	focus	VERB
app01-5322	27	4	on	on	ADP
app01-5322	27	5	application	application	NOUN
app01-5322	27	6	of	of	ADP
app01-5322	27	7	the	the	DET
app01-5322	27	8	identification	identification	NOUN
app01-5322	27	9	method	method	NOUN
app01-5322	27	10	for	for	ADP
app01-5322	27	11	a	a	DET
app01-5322	27	12	more	more	ADV
app01-5322	27	13	complicated	complicated	ADJ
app01-5322	27	14	numerical	numerical	ADJ
app01-5322	27	15	model	model	NOUN
app01-5322	27	16	leading	lead	VERB
app01-5322	27	17	to	to	ADP
app01-5322	27	18	the	the	DET
app01-5322	27	19	model	model	NOUN
app01-5322	27	20	calibration	calibration	NOUN
app01-5322	27	21	from	from	ADP
app01-5322	27	22	real	real	ADJ
app01-5322	27	23	experimental	experimental	ADJ
app01-5322	27	24	data	datum	NOUN
app01-5322	27	25	.	.	PUNCT
app01-5322	28	1	in	in	ADP
app01-5322	28	2	section	section	NOUN
app01-5322	28	3	3	3	NUM
app01-5322	28	4	,	,	PUNCT
app01-5322	28	5	the	the	DET
app01-5322	28	6	material	material	NOUN
app01-5322	28	7	model	model	NOUN
app01-5322	28	8	of	of	ADP
app01-5322	28	9	kinematic	kinematic	NOUN
app01-5322	28	10	and	and	CCONJ
app01-5322	28	11	isotropic	isotropic	ADJ
app01-5322	28	12	hardening	hardening	NOUN
app01-5322	28	13	for	for	ADP
app01-5322	28	14	viscoplastic	viscoplastic	ADJ
app01-5322	28	15	material	material	NOUN
app01-5322	28	16	together	together	ADV
app01-5322	28	17	with	with	ADP
app01-5322	28	18	its	its	PRON
app01-5322	28	19	unknown	unknown	ADJ
app01-5322	28	20	random	random	ADJ
app01-5322	28	21	input	input	NOUN
app01-5322	28	22	parameters	parameter	NOUN
app01-5322	28	23	is	be	AUX
app01-5322	28	24	briefly	briefly	ADV
app01-5322	28	25	introduced	introduce	VERB
app01-5322	28	26	.	.	PUNCT
app01-5322	29	1	section	section	NOUN
app01-5322	29	2	4	4	NUM
app01-5322	29	3	deals	deal	NOUN
app01-5322	29	4	with	with	ADP
app01-5322	29	5	verification	verification	NOUN
app01-5322	29	6	of	of	ADP
app01-5322	29	7	the	the	DET
app01-5322	29	8	proposed	propose	VERB
app01-5322	29	9	identification	identification	NOUN
app01-5322	29	10	procedure	procedure	NOUN
app01-5322	29	11	and	and	CCONJ
app01-5322	29	12	following	follow	VERB
app01-5322	29	13	model	model	NOUN
app01-5322	29	14	calibration	calibration	NOUN
app01-5322	29	15	.	.	PUNCT
app01-5322	30	1	the	the	DET
app01-5322	30	2	obtained	obtain	VERB
app01-5322	30	3	results	result	NOUN
app01-5322	30	4	are	be	AUX
app01-5322	30	5	then	then	ADV
app01-5322	30	6	summarized	summarize	VERB
app01-5322	30	7	in	in	ADP
app01-5322	30	8	section	section	NOUN
app01-5322	30	9	5	5	NUM
app01-5322	30	10	.	.	NOUN
app01-5322	30	11	2	2	NUM
app01-5322	30	12	.	.	PUNCT
app01-5322	30	13	stochastic	stochastic	ADJ
app01-5322	30	14	identification	identification	NOUN
app01-5322	30	15	method	method	NOUN
app01-5322	30	16	this	this	DET
app01-5322	30	17	section	section	NOUN
app01-5322	30	18	recapitulates	recapitulate	VERB
app01-5322	30	19	the	the	DET
app01-5322	30	20	basics	basic	NOUN
app01-5322	30	21	of	of	ADP
app01-5322	30	22	the	the	DET
app01-5322	30	23	bayesian	bayesian	NOUN
app01-5322	30	24	inference	inference	NOUN
app01-5322	30	25	and	and	CCONJ
app01-5322	30	26	its	its	PRON
app01-5322	30	27	extension	extension	NOUN
app01-5322	30	28	by	by	ADP
app01-5322	30	29	hierarchical	hierarchical	ADJ
app01-5322	30	30	modelling	modelling	NOUN
app01-5322	30	31	41	41	NUM
app01-5322	30	32	http://dx.doi.org/10.14311/app.2018.15.0041	http://dx.doi.org/10.14311/app.2018.15.0041	NOUN
app01-5322	30	33	http://ojs.cvut.cz/ojs/index.php/app	http://ojs.cvut.cz/ojs/index.php/app	PROPN
app01-5322	30	34	eliška	eliška	PROPN
app01-5322	30	35	janouchová	janouchová	PROPN
app01-5322	30	36	,	,	PUNCT
app01-5322	30	37	anna	anna	PROPN
app01-5322	30	38	kučerová	kučerová	PROPN
app01-5322	30	39	acta	acta	PROPN
app01-5322	30	40	polytechnica	polytechnica	PROPN
app01-5322	30	41	ctu	ctu	PROPN
app01-5322	30	42	proceedings	proceeding	NOUN
app01-5322	30	43	figure	figure	VERB
app01-5322	30	44	1	1	NUM
app01-5322	30	45	.	.	PUNCT
app01-5322	31	1	uncertainties	uncertainty	NOUN
app01-5322	31	2	in	in	ADP
app01-5322	31	3	properties	property	NOUN
app01-5322	31	4	of	of	ADP
app01-5322	31	5	a	a	DET
app01-5322	31	6	homogeneous	homogeneous	ADJ
app01-5322	31	7	and	and	CCONJ
app01-5322	31	8	heterogeneous	heterogeneous	ADJ
app01-5322	31	9	material	material	NOUN
app01-5322	31	10	.	.	PUNCT
app01-5322	32	1	in	in	ADP
app01-5322	32	2	order	order	NOUN
app01-5322	32	3	to	to	PART
app01-5322	32	4	enable	enable	VERB
app01-5322	32	5	an	an	DET
app01-5322	32	6	application	application	NOUN
app01-5322	32	7	of	of	ADP
app01-5322	32	8	this	this	DET
app01-5322	32	9	method	method	NOUN
app01-5322	32	10	for	for	ADP
app01-5322	32	11	identification	identification	NOUN
app01-5322	32	12	of	of	ADP
app01-5322	32	13	aleatory	aleatory	ADJ
app01-5322	32	14	uncertainty	uncertainty	NOUN
app01-5322	32	15	presented	present	VERB
app01-5322	32	16	in	in	ADP
app01-5322	32	17	the	the	DET
app01-5322	32	18	authors	author	NOUN
app01-5322	32	19	’	’	PART
app01-5322	32	20	former	former	ADJ
app01-5322	32	21	conference	conference	NOUN
app01-5322	32	22	paper	paper	NOUN
app01-5322	32	23	[	[	X
app01-5322	32	24	3	3	NUM
app01-5322	32	25	]	]	PUNCT
app01-5322	32	26	.	.	PUNCT
app01-5322	33	1	the	the	DET
app01-5322	33	2	principal	principal	ADJ
app01-5322	33	3	idea	idea	NOUN
app01-5322	33	4	of	of	ADP
app01-5322	33	5	the	the	DET
app01-5322	33	6	bayesian	bayesian	NOUN
app01-5322	33	7	identification	identification	NOUN
app01-5322	33	8	is	be	AUX
app01-5322	33	9	based	base	VERB
app01-5322	33	10	on	on	ADP
app01-5322	33	11	a	a	DET
app01-5322	33	12	common	common	ADJ
app01-5322	33	13	way	way	NOUN
app01-5322	33	14	of	of	ADP
app01-5322	33	15	thought	thought	NOUN
app01-5322	33	16	when	when	SCONJ
app01-5322	33	17	the	the	DET
app01-5322	33	18	resulting	result	VERB
app01-5322	33	19	belief	belief	NOUN
app01-5322	33	20	about	about	ADP
app01-5322	33	21	a	a	DET
app01-5322	33	22	random	random	ADJ
app01-5322	33	23	event	event	NOUN
app01-5322	33	24	is	be	AUX
app01-5322	33	25	given	give	VERB
app01-5322	33	26	by	by	ADP
app01-5322	33	27	a	a	DET
app01-5322	33	28	combination	combination	NOUN
app01-5322	33	29	of	of	ADP
app01-5322	33	30	all	all	DET
app01-5322	33	31	available	available	ADJ
app01-5322	33	32	information	information	NOUN
app01-5322	33	33	[	[	X
app01-5322	33	34	4	4	NUM
app01-5322	33	35	]	]	PUNCT
app01-5322	33	36	.	.	PUNCT
app01-5322	34	1	this	this	DET
app01-5322	34	2	approach	approach	NOUN
app01-5322	34	3	introduces	introduce	VERB
app01-5322	34	4	the	the	DET
app01-5322	34	5	concept	concept	NOUN
app01-5322	34	6	of	of	ADP
app01-5322	34	7	uncertainty	uncertainty	NOUN
app01-5322	34	8	in	in	ADP
app01-5322	34	9	our	our	PRON
app01-5322	34	10	subjective	subjective	ADJ
app01-5322	34	11	knowledge	knowledge	NOUN
app01-5322	34	12	of	of	ADP
app01-5322	34	13	the	the	DET
app01-5322	34	14	identified	identify	VERB
app01-5322	34	15	parameters	parameter	NOUN
app01-5322	34	16	.	.	PUNCT
app01-5322	35	1	the	the	DET
app01-5322	35	2	bayesian	bayesian	NOUN
app01-5322	35	3	inference	inference	NOUN
app01-5322	35	4	becomes	become	VERB
app01-5322	35	5	increasingly	increasingly	ADV
app01-5322	35	6	popular	popular	ADJ
app01-5322	35	7	and	and	CCONJ
app01-5322	35	8	more	more	ADV
app01-5322	35	9	widespread	widespread	ADJ
app01-5322	35	10	approach	approach	NOUN
app01-5322	35	11	to	to	ADP
app01-5322	35	12	parameter	parameter	NOUN
app01-5322	35	13	identification	identification	NOUN
app01-5322	35	14	providing	provide	VERB
app01-5322	35	15	an	an	DET
app01-5322	35	16	elegant	elegant	ADJ
app01-5322	35	17	solution	solution	NOUN
app01-5322	35	18	to	to	ADP
app01-5322	35	19	this	this	DET
app01-5322	35	20	inverse	inverse	NOUN
app01-5322	35	21	problem	problem	NOUN
app01-5322	35	22	by	by	ADP
app01-5322	35	23	making	make	VERB
app01-5322	35	24	it	it	PRON
app01-5322	35	25	well	well	ADV
app01-5322	35	26	-	-	PUNCT
app01-5322	35	27	posed	pose	VERB
app01-5322	35	28	.	.	PUNCT
app01-5322	36	1	it	it	PRON
app01-5322	36	2	allows	allow	VERB
app01-5322	36	3	to	to	PART
app01-5322	36	4	estimate	estimate	VERB
app01-5322	36	5	values	value	NOUN
app01-5322	36	6	of	of	ADP
app01-5322	36	7	input	input	NOUN
app01-5322	36	8	parameters	parameter	NOUN
app01-5322	36	9	together	together	ADV
app01-5322	36	10	with	with	ADP
app01-5322	36	11	appropriate	appropriate	ADJ
app01-5322	36	12	uncertainties	uncertainty	NOUN
app01-5322	36	13	by	by	ADP
app01-5322	36	14	combining	combine	VERB
app01-5322	36	15	prior	prior	ADJ
app01-5322	36	16	information	information	NOUN
app01-5322	36	17	and	and	CCONJ
app01-5322	36	18	experimental	experimental	ADJ
app01-5322	36	19	measurements	measurement	NOUN
app01-5322	36	20	.	.	PUNCT
app01-5322	37	1	in	in	ADP
app01-5322	37	2	this	this	DET
app01-5322	37	3	case	case	NOUN
app01-5322	37	4	,	,	PUNCT
app01-5322	37	5	observations	observation	NOUN
app01-5322	37	6	are	be	AUX
app01-5322	37	7	assumed	assume	VERB
app01-5322	37	8	to	to	PART
app01-5322	37	9	be	be	AUX
app01-5322	37	10	performed	perform	VERB
app01-5322	37	11	for	for	ADP
app01-5322	37	12	the	the	DET
app01-5322	37	13	specific	specific	ADJ
app01-5322	37	14	yet	yet	CCONJ
app01-5322	37	15	unknown	unknown	ADJ
app01-5322	37	16	values	value	NOUN
app01-5322	37	17	of	of	ADP
app01-5322	37	18	input	input	NOUN
app01-5322	37	19	parameters	parameter	NOUN
app01-5322	37	20	and	and	CCONJ
app01-5322	37	21	epistemic	epistemic	ADJ
app01-5322	37	22	uncertainty	uncertainty	NOUN
app01-5322	37	23	arising	arise	VERB
app01-5322	37	24	from	from	ADP
app01-5322	37	25	experimental	experimental	ADJ
app01-5322	37	26	errors	error	NOUN
app01-5322	37	27	and	and	CCONJ
app01-5322	37	28	lack	lack	NOUN
app01-5322	37	29	of	of	ADP
app01-5322	37	30	knowledge	knowledge	NOUN
app01-5322	37	31	is	be	AUX
app01-5322	37	32	reduced	reduce	VERB
app01-5322	37	33	with	with	ADP
app01-5322	37	34	an	an	DET
app01-5322	37	35	increasing	increase	VERB
app01-5322	37	36	number	number	NOUN
app01-5322	37	37	of	of	ADP
app01-5322	37	38	experimental	experimental	ADJ
app01-5322	37	39	observations	observation	NOUN
app01-5322	37	40	.	.	PUNCT
app01-5322	38	1	the	the	DET
app01-5322	38	2	bayesian	bayesian	NOUN
app01-5322	38	3	approach	approach	NOUN
app01-5322	38	4	can	can	AUX
app01-5322	38	5	be	be	AUX
app01-5322	38	6	extended	extend	VERB
app01-5322	38	7	into	into	ADP
app01-5322	38	8	multilevel	multilevel	ADJ
app01-5322	38	9	setting	setting	NOUN
app01-5322	38	10	which	which	PRON
app01-5322	38	11	allows	allow	VERB
app01-5322	38	12	to	to	PART
app01-5322	38	13	take	take	VERB
app01-5322	38	14	into	into	ADP
app01-5322	38	15	account	account	NOUN
app01-5322	38	16	also	also	ADV
app01-5322	38	17	aleatory	aleatory	ADJ
app01-5322	38	18	uncertainties	uncertainty	NOUN
app01-5322	38	19	[	[	X
app01-5322	38	20	5	5	NUM
app01-5322	38	21	,	,	PUNCT
app01-5322	38	22	6	6	NUM
app01-5322	38	23	]	]	PUNCT
app01-5322	38	24	.	.	PUNCT
app01-5322	39	1	while	while	SCONJ
app01-5322	39	2	in	in	ADP
app01-5322	39	3	the	the	DET
app01-5322	39	4	classical	classical	ADJ
app01-5322	39	5	formulation	formulation	NOUN
app01-5322	39	6	the	the	DET
app01-5322	39	7	model	model	NOUN
app01-5322	39	8	parameters	parameter	NOUN
app01-5322	39	9	have	have	VERB
app01-5322	39	10	unknown	unknown	ADJ
app01-5322	39	11	deterministic	deterministic	ADJ
app01-5322	39	12	values	value	NOUN
app01-5322	39	13	,	,	PUNCT
app01-5322	39	14	hierarchical	hierarchical	ADJ
app01-5322	39	15	modelling	modelling	NOUN
app01-5322	39	16	enables	enable	NOUN
app01-5322	39	17	to	to	PART
app01-5322	39	18	consider	consider	VERB
app01-5322	39	19	the	the	DET
app01-5322	39	20	model	model	NOUN
app01-5322	39	21	parameters	parameter	NOUN
app01-5322	39	22	x	x	VERB
app01-5322	39	23	as	as	ADP
app01-5322	39	24	stochastic	stochastic	ADJ
app01-5322	39	25	variables	variable	NOUN
app01-5322	39	26	described	describe	VERB
app01-5322	39	27	by	by	ADP
app01-5322	39	28	some	some	DET
app01-5322	39	29	statistical	statistical	ADJ
app01-5322	39	30	model	model	NOUN
app01-5322	39	31	with	with	ADP
app01-5322	39	32	uncertain	uncertain	ADJ
app01-5322	39	33	moments	moment	NOUN
app01-5322	39	34	.	.	PUNCT
app01-5322	40	1	specifically	specifically	ADV
app01-5322	40	2	,	,	PUNCT
app01-5322	40	3	the	the	DET
app01-5322	40	4	extension	extension	NOUN
app01-5322	40	5	is	be	AUX
app01-5322	40	6	done	do	VERB
app01-5322	40	7	by	by	ADP
app01-5322	40	8	introducing	introduce	VERB
app01-5322	40	9	new	new	ADJ
app01-5322	40	10	random	random	ADJ
app01-5322	40	11	variables	variable	NOUN
app01-5322	40	12	,	,	PUNCT
app01-5322	40	13	known	know	VERB
app01-5322	40	14	as	as	ADP
app01-5322	40	15	hyperparameters	hyperparameter	NOUN
app01-5322	41	1	θ	θ	NOUN
app01-5322	41	2	defining	define	VERB
app01-5322	41	3	the	the	DET
app01-5322	41	4	probabilistic	probabilistic	ADJ
app01-5322	41	5	specification	specification	NOUN
app01-5322	41	6	of	of	ADP
app01-5322	41	7	the	the	DET
app01-5322	41	8	model	model	NOUN
app01-5322	41	9	parameters	parameter	NOUN
app01-5322	41	10	x	x	PUNCT
app01-5322	42	1	[	[	X
app01-5322	42	2	2	2	NUM
app01-5322	42	3	]	]	PUNCT
app01-5322	42	4	.	.	PUNCT
app01-5322	43	1	the	the	DET
app01-5322	43	2	parameters	parameter	NOUN
app01-5322	43	3	’	'	PUNCT
app01-5322	43	4	prior	prior	ADV
app01-5322	43	5	is	be	AUX
app01-5322	43	6	then	then	ADV
app01-5322	43	7	conditional	conditional	ADJ
app01-5322	43	8	on	on	ADP
app01-5322	43	9	the	the	DET
app01-5322	43	10	hyperparameters	hyperparameter	NOUN
app01-5322	43	11	θ	θ	PROPN
app01-5322	43	12	with	with	ADP
app01-5322	43	13	their	their	PRON
app01-5322	43	14	own	own	ADJ
app01-5322	43	15	prior	prior	ADJ
app01-5322	43	16	distribution	distribution	NOUN
app01-5322	43	17	called	call	VERB
app01-5322	43	18	hyperprior	hyperprior	PROPN
app01-5322	43	19	p(θ	p(θ	PROPN
app01-5322	43	20	)	)	PUNCT
app01-5322	43	21	,	,	PUNCT
app01-5322	43	22	the	the	DET
app01-5322	43	23	joint	joint	ADJ
app01-5322	43	24	prior	prior	ADJ
app01-5322	43	25	distribution	distribution	NOUN
app01-5322	43	26	of	of	ADP
app01-5322	43	27	the	the	DET
app01-5322	43	28	parameters	parameter	NOUN
app01-5322	43	29	and	and	CCONJ
app01-5322	43	30	hyperparameters	hyperparameter	NOUN
app01-5322	43	31	has	have	VERB
app01-5322	43	32	a	a	DET
app01-5322	43	33	form	form	NOUN
app01-5322	43	34	p(x	p(x	NOUN
app01-5322	43	35	,	,	PUNCT
app01-5322	43	36	θ	θ	NOUN
app01-5322	43	37	)	)	PUNCT
app01-5322	43	38	=	=	SYM
app01-5322	43	39	p(x|θ)p(θ	p(x|θ)p(θ	NOUN
app01-5322	43	40	)	)	PUNCT
app01-5322	43	41	(	(	PUNCT
app01-5322	43	42	1	1	X
app01-5322	43	43	)	)	PUNCT
app01-5322	43	44	and	and	CCONJ
app01-5322	43	45	according	accord	VERB
app01-5322	43	46	to	to	ADP
app01-5322	43	47	bayes	bayes	PROPN
app01-5322	43	48	’	'	PUNCT
app01-5322	43	49	rule	rule	VERB
app01-5322	43	50	the	the	DET
app01-5322	43	51	corresponding	corresponding	ADJ
app01-5322	43	52	joint	joint	ADJ
app01-5322	43	53	posterior	posterior	ADJ
app01-5322	43	54	distribution	distribution	NOUN
app01-5322	43	55	up	up	ADP
app01-5322	43	56	to	to	ADP
app01-5322	43	57	a	a	DET
app01-5322	43	58	normalisation	normalisation	NOUN
app01-5322	43	59	constant	constant	ADJ
app01-5322	43	60	is	be	AUX
app01-5322	43	61	p(x	p(x	NOUN
app01-5322	43	62	,	,	PUNCT
app01-5322	43	63	θ|z	θ|z	NOUN
app01-5322	43	64	)	)	PUNCT
app01-5322	43	65	∝	∝	PROPN
app01-5322	43	66	p(z|x	p(z|x	PROPN
app01-5322	43	67	,	,	PUNCT
app01-5322	43	68	θ)p(x|θ)p(θ	θ)p(x|θ)p(θ	PROPN
app01-5322	43	69	)	)	PUNCT
app01-5322	43	70	.	.	PUNCT
app01-5322	44	1	(	(	PUNCT
app01-5322	44	2	2	2	X
app01-5322	44	3	)	)	PUNCT
app01-5322	44	4	more	more	ADV
app01-5322	44	5	specifically	specifically	ADV
app01-5322	44	6	,	,	PUNCT
app01-5322	44	7	now	now	ADV
app01-5322	44	8	we	we	PRON
app01-5322	44	9	have	have	VERB
app01-5322	44	10	n	n	NUM
app01-5322	44	11	observations	observation	NOUN
app01-5322	44	12	zi	zi	NOUN
app01-5322	44	13	,	,	PUNCT
app01-5322	44	14	each	each	PRON
app01-5322	44	15	of	of	ADP
app01-5322	44	16	them	they	PRON
app01-5322	44	17	is	be	AUX
app01-5322	44	18	realized	realize	VERB
app01-5322	44	19	for	for	ADP
app01-5322	44	20	n	n	NOUN
app01-5322	44	21	combinations	combination	NOUN
app01-5322	44	22	of	of	ADP
app01-5322	44	23	input	input	NOUN
app01-5322	44	24	values	value	NOUN
app01-5322	44	25	xi	xi	AUX
app01-5322	44	26	drawn	draw	VERB
app01-5322	44	27	from	from	ADP
app01-5322	44	28	unknown	unknown	ADJ
app01-5322	44	29	distribution	distribution	NOUN
app01-5322	44	30	.	.	PUNCT
app01-5322	45	1	each	each	PRON
app01-5322	45	2	of	of	ADP
app01-5322	45	3	these	these	DET
app01-5322	45	4	combinations	combination	NOUN
app01-5322	45	5	is	be	AUX
app01-5322	45	6	defined	define	VERB
app01-5322	45	7	by	by	ADP
app01-5322	45	8	its	its	PRON
app01-5322	45	9	prior	prior	ADJ
app01-5322	45	10	distribution	distribution	NOUN
app01-5322	45	11	f(xi|θ	f(xi|θ	PROPN
app01-5322	45	12	)	)	PUNCT
app01-5322	45	13	and	and	CCONJ
app01-5322	45	14	according	accord	VERB
app01-5322	45	15	to	to	ADP
app01-5322	45	16	assumption	assumption	NOUN
app01-5322	45	17	of	of	ADP
app01-5322	45	18	observation	observation	NOUN
app01-5322	45	19	exchangeability	exchangeability	NOUN
app01-5322	45	20	[	[	X
app01-5322	45	21	7	7	X
app01-5322	45	22	]	]	X
app01-5322	45	23	the	the	DET
app01-5322	45	24	joint	joint	ADJ
app01-5322	45	25	prior	prior	ADJ
app01-5322	45	26	distribution	distribution	NOUN
app01-5322	45	27	is	be	AUX
app01-5322	45	28	given	give	VERB
app01-5322	45	29	as	as	ADP
app01-5322	45	30	p(x1	p(x1	NOUN
app01-5322	45	31	,	,	PUNCT
app01-5322	45	32	.	.	PUNCT
app01-5322	45	33	.	.	PUNCT
app01-5322	45	34	.	.	PUNCT
app01-5322	46	1	,	,	PUNCT
app01-5322	46	2	xn	xn	PROPN
app01-5322	46	3	,	,	PUNCT
app01-5322	46	4	θ	θ	NOUN
app01-5322	46	5	)	)	PUNCT
app01-5322	46	6	=	=	SYM
app01-5322	46	7	(	(	PUNCT
app01-5322	46	8	n∏	n∏	PROPN
app01-5322	46	9	i=1	i=1	PROPN
app01-5322	46	10	f(xi|θ	f(xi|θ	PROPN
app01-5322	46	11	)	)	PUNCT
app01-5322	46	12	)	)	PUNCT
app01-5322	46	13	p(θ	p(θ	PROPN
app01-5322	46	14	)	)	PUNCT
app01-5322	46	15	(	(	PUNCT
app01-5322	46	16	3	3	X
app01-5322	46	17	)	)	PUNCT
app01-5322	46	18	and	and	CCONJ
app01-5322	46	19	the	the	DET
app01-5322	46	20	posterior	posterior	ADJ
app01-5322	46	21	p(x1	p(x1	NOUN
app01-5322	46	22	,	,	PUNCT
app01-5322	46	23	.	.	PUNCT
app01-5322	46	24	.	.	PUNCT
app01-5322	46	25	.	.	PUNCT
app01-5322	47	1	,	,	PUNCT
app01-5322	47	2	xn	xn	PROPN
app01-5322	47	3	,	,	PUNCT
app01-5322	47	4	θ|z1	θ|z1	PROPN
app01-5322	47	5	,	,	PUNCT
app01-5322	47	6	.	.	PUNCT
app01-5322	47	7	.	.	PUNCT
app01-5322	47	8	.	.	PUNCT
app01-5322	48	1	,	,	PUNCT
app01-5322	48	2	zn	zn	X
app01-5322	48	3	)	)	PUNCT
app01-5322	48	4	as	as	ADP
app01-5322	48	5	p(x	p(x	NOUN
app01-5322	48	6	,	,	PUNCT
app01-5322	48	7	θ|z	θ|z	NOUN
app01-5322	48	8	)	)	PUNCT
app01-5322	48	9	∝	∝	PROPN
app01-5322	48	10	(	(	PUNCT
app01-5322	48	11	n∏	n∏	PROPN
app01-5322	48	12	i=1	i=1	PROPN
app01-5322	48	13	f(zi|xi	f(zi|xi	NUM
app01-5322	48	14	)	)	PUNCT
app01-5322	48	15	)	)	PUNCT
app01-5322	49	1	(	(	PUNCT
app01-5322	49	2	n∏	n∏	PROPN
app01-5322	49	3	i=1	i=1	PROPN
app01-5322	49	4	f(xi|θ	f(xi|θ	PROPN
app01-5322	49	5	)	)	PUNCT
app01-5322	49	6	)	)	PUNCT
app01-5322	50	1	p(θ	p(θ	PROPN
app01-5322	50	2	)	)	PUNCT
app01-5322	50	3	.	.	PUNCT
app01-5322	51	1	(	(	PUNCT
app01-5322	51	2	4	4	X
app01-5322	51	3	)	)	PUNCT
app01-5322	51	4	our	our	PRON
app01-5322	51	5	knowledge	knowledge	NOUN
app01-5322	51	6	about	about	ADP
app01-5322	51	7	the	the	DET
app01-5322	51	8	hyperparameters	hyperparameter	NOUN
app01-5322	51	9	grows	grow	VERB
app01-5322	51	10	by	by	ADP
app01-5322	51	11	updating	update	VERB
app01-5322	51	12	based	base	VERB
app01-5322	51	13	on	on	ADP
app01-5322	51	14	every	every	DET
app01-5322	51	15	new	new	ADJ
app01-5322	51	16	measurement	measurement	NOUN
app01-5322	51	17	while	while	SCONJ
app01-5322	51	18	structure	structure	NOUN
app01-5322	51	19	of	of	ADP
app01-5322	51	20	the	the	DET
app01-5322	51	21	model	model	NOUN
app01-5322	51	22	parameters	parameter	NOUN
app01-5322	51	23	’	'	PUNCT
app01-5322	51	24	prior	prior	ADJ
app01-5322	51	25	distribution	distribution	NOUN
app01-5322	51	26	remains	remain	VERB
app01-5322	51	27	unchanged	unchanged	ADJ
app01-5322	51	28	.	.	PUNCT
app01-5322	52	1	3	3	X
app01-5322	52	2	.	.	X
app01-5322	52	3	numerical	numerical	PROPN
app01-5322	52	4	model	model	PROPN
app01-5322	52	5	the	the	DET
app01-5322	52	6	identification	identification	NOUN
app01-5322	52	7	method	method	NOUN
app01-5322	52	8	is	be	AUX
app01-5322	52	9	applied	apply	VERB
app01-5322	52	10	to	to	ADP
app01-5322	52	11	calibration	calibration	NOUN
app01-5322	52	12	of	of	ADP
app01-5322	52	13	a	a	DET
app01-5322	52	14	numerical	numerical	ADJ
app01-5322	52	15	model	model	NOUN
app01-5322	52	16	of	of	ADP
app01-5322	52	17	kinematic	kinematic	NOUN
app01-5322	52	18	and	and	CCONJ
app01-5322	52	19	isotropic	isotropic	ADJ
app01-5322	52	20	hardening	hardening	NOUN
app01-5322	52	21	for	for	ADP
app01-5322	52	22	copper	copper	NOUN
app01-5322	52	23	alloy	alloy	NOUN
app01-5322	52	24	defined	define	VERB
app01-5322	52	25	by	by	ADP
app01-5322	52	26	constitutive	constitutive	ADJ
app01-5322	52	27	equations	equation	NOUN
app01-5322	52	28	in	in	ADP
app01-5322	52	29	figure	figure	NOUN
app01-5322	52	30	2	2	NUM
app01-5322	52	31	.	.	PUNCT
app01-5322	53	1	the	the	DET
app01-5322	53	2	available	available	ADJ
app01-5322	53	3	experimental	experimental	ADJ
app01-5322	53	4	data	datum	NOUN
app01-5322	53	5	are	be	AUX
app01-5322	53	6	depicted	depict	VERB
app01-5322	53	7	in	in	ADP
app01-5322	53	8	figure	figure	NOUN
app01-5322	53	9	3	3	NUM
app01-5322	53	10	and	and	CCONJ
app01-5322	53	11	correspond	correspond	VERB
app01-5322	53	12	to	to	ADP
app01-5322	53	13	16	16	NUM
app01-5322	53	14	repetitions	repetition	NOUN
app01-5322	53	15	of	of	ADP
app01-5322	53	16	a	a	DET
app01-5322	53	17	straincontrolled	straincontrolle	VERB
app01-5322	53	18	cyclic	cyclic	ADJ
app01-5322	53	19	loading	loading	NOUN
app01-5322	53	20	test	test	NOUN
app01-5322	53	21	at	at	ADP
app01-5322	53	22	a	a	DET
app01-5322	53	23	high	high	ADJ
app01-5322	53	24	temperature	temperature	NOUN
app01-5322	53	25	.	.	PUNCT
app01-5322	54	1	the	the	DET
app01-5322	54	2	material	material	NOUN
app01-5322	54	3	data	datum	NOUN
app01-5322	54	4	are	be	AUX
app01-5322	54	5	represented	represent	VERB
app01-5322	54	6	in	in	ADP
app01-5322	54	7	relative	relative	ADJ
app01-5322	54	8	units	unit	NOUN
app01-5322	54	9	:	:	PUNCT
app01-5322	54	10	stresses	stress	NOUN
app01-5322	54	11	are	be	AUX
app01-5322	54	12	given	give	VERB
app01-5322	54	13	as	as	ADP
app01-5322	54	14	ratios	ratio	NOUN
app01-5322	54	15	of	of	ADP
app01-5322	54	16	rref	rref	NOUN
app01-5322	54	17	and	and	CCONJ
app01-5322	54	18	strains	strain	NOUN
app01-5322	54	19	as	as	ADP
app01-5322	54	20	ratios	ratio	NOUN
app01-5322	54	21	of	of	ADP
app01-5322	54	22	εref	εref	NOUN
app01-5322	54	23	.	.	PUNCT
app01-5322	55	1	these	these	DET
app01-5322	55	2	reference	reference	NOUN
app01-5322	55	3	values	value	NOUN
app01-5322	55	4	are	be	AUX
app01-5322	55	5	constant	constant	ADJ
app01-5322	55	6	throughout	throughout	ADP
app01-5322	55	7	this	this	DET
app01-5322	55	8	document	document	NOUN
app01-5322	55	9	,	,	PUNCT
app01-5322	55	10	so	so	ADV
app01-5322	55	11	all	all	DET
app01-5322	55	12	presented	present	VERB
app01-5322	55	13	figures	figure	NOUN
app01-5322	55	14	are	be	AUX
app01-5322	55	15	consistent	consistent	ADJ
app01-5322	55	16	.	.	PUNCT
app01-5322	56	1	the	the	DET
app01-5322	56	2	experimental	experimental	ADJ
app01-5322	56	3	errors	error	NOUN
app01-5322	56	4	in	in	ADP
app01-5322	56	5	each	each	DET
app01-5322	56	6	measured	measure	VERB
app01-5322	56	7	point	point	NOUN
app01-5322	56	8	of	of	ADP
app01-5322	56	9	discretized	discretized	ADJ
app01-5322	56	10	stress	stress	NOUN
app01-5322	56	11	-	-	PUNCT
app01-5322	56	12	strain	strain	NOUN
app01-5322	56	13	curves	curve	NOUN
app01-5322	56	14	are	be	AUX
app01-5322	56	15	assumed	assume	VERB
app01-5322	56	16	as	as	ADP
app01-5322	56	17	i.i.d	i.i.d	PROPN
app01-5322	56	18	.	.	PUNCT
app01-5322	57	1	gaussian	gaussian	ADJ
app01-5322	57	2	random	random	ADJ
app01-5322	57	3	variables	variable	NOUN
app01-5322	57	4	with	with	ADP
app01-5322	57	5	zero	zero	NUM
app01-5322	57	6	mean	mean	NOUN
app01-5322	57	7	values	value	NOUN
app01-5322	57	8	and	and	CCONJ
app01-5322	57	9	identic	identic	ADJ
app01-5322	57	10	standard	standard	ADJ
app01-5322	57	11	deviations	deviation	NOUN
app01-5322	57	12	.	.	PUNCT
app01-5322	58	1	at	at	ADP
app01-5322	58	2	higher	high	ADJ
app01-5322	58	3	temperatures	temperature	NOUN
app01-5322	58	4	,	,	PUNCT
app01-5322	58	5	the	the	DET
app01-5322	58	6	cyclic	cyclic	ADJ
app01-5322	58	7	material	material	NOUN
app01-5322	58	8	behaviour	behaviour	NOUN
app01-5322	58	9	is	be	AUX
app01-5322	58	10	dominated	dominate	VERB
app01-5322	58	11	by	by	ADP
app01-5322	58	12	the	the	DET
app01-5322	58	13	kinematic	kinematic	ADJ
app01-5322	58	14	hardening	harden	VERB
app01-5322	58	15	mechanism	mechanism	NOUN
app01-5322	58	16	and	and	CCONJ
app01-5322	58	17	the	the	DET
app01-5322	58	18	stress	stress	NOUN
app01-5322	58	19	saturation	saturation	NOUN
app01-5322	58	20	is	be	AUX
app01-5322	58	21	already	already	ADV
app01-5322	58	22	reached	reach	VERB
app01-5322	58	23	after	after	ADP
app01-5322	58	24	a	a	DET
app01-5322	58	25	few	few	ADJ
app01-5322	58	26	cycles	cycle	NOUN
app01-5322	59	1	[	[	X
app01-5322	59	2	8	8	NUM
app01-5322	59	3	]	]	PUNCT
app01-5322	59	4	.	.	PUNCT
app01-5322	60	1	the	the	DET
app01-5322	60	2	copper	copper	NOUN
app01-5322	60	3	alloy	alloy	NOUN
app01-5322	60	4	does	do	AUX
app01-5322	60	5	not	not	PART
app01-5322	60	6	exhibit	exhibit	VERB
app01-5322	60	7	a	a	DET
app01-5322	60	8	distinct	distinct	ADJ
app01-5322	60	9	yield	yield	NOUN
app01-5322	60	10	limit	limit	NOUN
app01-5322	60	11	and	and	CCONJ
app01-5322	60	12	its	its	PRON
app01-5322	60	13	kinematic	kinematic	ADJ
app01-5322	60	14	hardening	harden	VERB
app01-5322	60	15	behaviour	behaviour	NOUN
app01-5322	60	16	is	be	AUX
app01-5322	60	17	non	non	ADJ
app01-5322	60	18	-	-	ADJ
app01-5322	60	19	linear	linear	ADJ
app01-5322	60	20	.	.	PUNCT
app01-5322	61	1	the	the	DET
app01-5322	61	2	model	model	NOUN
app01-5322	61	3	parameters	parameter	NOUN
app01-5322	61	4	to	to	PART
app01-5322	61	5	be	be	AUX
app01-5322	61	6	identified	identify	VERB
app01-5322	61	7	are	be	AUX
app01-5322	61	8	summarized	summarize	VERB
app01-5322	61	9	in	in	ADP
app01-5322	61	10	table	table	NOUN
app01-5322	61	11	1	1	NUM
app01-5322	61	12	.	.	PUNCT
app01-5322	61	13	operating	operate	VERB
app01-5322	61	14	with	with	ADP
app01-5322	61	15	the	the	DET
app01-5322	61	16	hardening	harden	VERB
app01-5322	61	17	moduli	modulus	NOUN
app01-5322	61	18	42	42	NUM
app01-5322	61	19	vol	vol	NOUN
app01-5322	61	20	.	.	PUNCT
app01-5322	62	1	15/2018	15/2018	NUM
app01-5322	62	2	bayesian	bayesian	NOUN
app01-5322	62	3	inference	inference	NOUN
app01-5322	62	4	of	of	ADP
app01-5322	62	5	heterogeneous	heterogeneous	ADJ
app01-5322	62	6	viscoplastic	viscoplastic	ADJ
app01-5322	62	7	material	material	NOUN
app01-5322	62	8	parameters	parameter	NOUN
app01-5322	62	9	figure	figure	VERB
app01-5322	62	10	2	2	NUM
app01-5322	62	11	.	.	PUNCT
app01-5322	63	1	constitutive	constitutive	ADJ
app01-5322	63	2	equations	equation	NOUN
app01-5322	63	3	of	of	ADP
app01-5322	63	4	the	the	DET
app01-5322	63	5	viscoplastic	viscoplastic	ADJ
app01-5322	63	6	model	model	NOUN
app01-5322	63	7	with	with	ADP
app01-5322	63	8	non	non	ADJ
app01-5322	63	9	-	-	ADJ
app01-5322	63	10	linear	linear	ADJ
app01-5322	63	11	isotropic	isotropic	NOUN
app01-5322	63	12	and	and	CCONJ
app01-5322	63	13	kinematic	kinematic	ADJ
app01-5322	63	14	hardening	hardening	NOUN
app01-5322	63	15	.	.	PUNCT
app01-5322	64	1	figure	figure	NOUN
app01-5322	64	2	3	3	NUM
app01-5322	64	3	.	.	PUNCT
app01-5322	64	4	experimental	experimental	ADJ
app01-5322	64	5	data	datum	NOUN
app01-5322	64	6	:	:	PUNCT
app01-5322	64	7	stress	stress	NOUN
app01-5322	64	8	-	-	PUNCT
app01-5322	64	9	strain	strain	NOUN
app01-5322	64	10	curves	curve	NOUN
app01-5322	64	11	.	.	PUNCT
app01-5322	65	1	q	q	PUNCT
app01-5322	66	1	and	and	CCONJ
app01-5322	66	2	c	c	ADP
app01-5322	66	3	,	,	PUNCT
app01-5322	66	4	given	give	VERB
app01-5322	66	5	in	in	ADP
app01-5322	66	6	equations	equation	NOUN
app01-5322	66	7	in	in	ADP
app01-5322	66	8	figure	figure	NOUN
app01-5322	66	9	2	2	NUM
app01-5322	66	10	,	,	PUNCT
app01-5322	66	11	is	be	AUX
app01-5322	66	12	replaced	replace	VERB
app01-5322	66	13	by	by	ADP
app01-5322	66	14	operating	operate	VERB
app01-5322	66	15	with	with	ADP
app01-5322	66	16	the	the	DET
app01-5322	66	17	saturation	saturation	NOUN
app01-5322	66	18	values	value	VERB
app01-5322	66	19	r∞	r∞	NOUN
app01-5322	66	20	=	=	SYM
app01-5322	66	21	q	q	X
app01-5322	66	22	/	/	SYM
app01-5322	66	23	β	β	X
app01-5322	66	24	and	and	CCONJ
app01-5322	66	25	x∞	x∞	PROPN
app01-5322	67	1	=	=	PUNCT
app01-5322	67	2	c	c	X
app01-5322	67	3	/	/	SYM
app01-5322	67	4	γ	γ	PROPN
app01-5322	67	5	.	.	PUNCT
app01-5322	68	1	the	the	DET
app01-5322	68	2	unknown	unknown	ADJ
app01-5322	68	3	model	model	NOUN
app01-5322	68	4	parameters	parameter	NOUN
app01-5322	68	5	are	be	AUX
app01-5322	68	6	assumed	assume	VERB
app01-5322	68	7	as	as	ADP
app01-5322	68	8	lognormally	lognormally	ADV
app01-5322	68	9	distributed	distribute	VERB
app01-5322	68	10	random	random	ADJ
app01-5322	68	11	variables	variable	NOUN
app01-5322	68	12	.	.	PUNCT
app01-5322	69	1	parameter	parameter	NOUN
app01-5322	69	2	name	name	NOUN
app01-5322	69	3	σy	σy	PROPN
app01-5322	70	1	[	[	X
app01-5322	70	2	mpa	mpa	X
app01-5322	70	3	]	]	PUNCT
app01-5322	70	4	yield	yield	VERB
app01-5322	70	5	stress	stress	NOUN
app01-5322	70	6	v∞	v∞	PROPN
app01-5322	71	1	[	[	X
app01-5322	71	2	mpa	mpa	X
app01-5322	71	3	]	]	X
app01-5322	71	4	kinematic	kinematic	ADJ
app01-5322	71	5	hardening	harden	VERB
app01-5322	71	6	saturation	saturation	NOUN
app01-5322	71	7	γ	γ	X
app01-5322	71	8	[	[	X
app01-5322	71	9	-	-	PUNCT
app01-5322	71	10	]	]	X
app01-5322	71	11	kinematic	kinematic	ADJ
app01-5322	71	12	dynamic	dynamic	ADJ
app01-5322	71	13	recovery	recovery	NOUN
app01-5322	71	14	constant	constant	ADJ
app01-5322	71	15	r∞	r∞	PROPN
app01-5322	71	16	[	[	X
app01-5322	71	17	mpa	mpa	X
app01-5322	71	18	]	]	X
app01-5322	71	19	isotropic	isotropic	NOUN
app01-5322	71	20	hardening	harden	VERB
app01-5322	71	21	saturation	saturation	NOUN
app01-5322	71	22	β	β	X
app01-5322	71	23	[	[	X
app01-5322	71	24	-	-	PUNCT
app01-5322	71	25	]	]	X
app01-5322	71	26	isotropic	isotropic	ADJ
app01-5322	71	27	dynamic	dynamic	ADJ
app01-5322	71	28	recovery	recovery	NOUN
app01-5322	71	29	constant	constant	ADJ
app01-5322	71	30	table	table	NOUN
app01-5322	71	31	1	1	NUM
app01-5322	71	32	.	.	PUNCT
app01-5322	71	33	model	model	NOUN
app01-5322	71	34	parameters	parameter	NOUN
app01-5322	71	35	to	to	PART
app01-5322	71	36	be	be	AUX
app01-5322	71	37	identified	identify	VERB
app01-5322	71	38	.	.	PUNCT
app01-5322	72	1	the	the	DET
app01-5322	72	2	corresponding	corresponding	ADJ
app01-5322	72	3	mean	mean	ADJ
app01-5322	72	4	values	value	NOUN
app01-5322	72	5	and	and	CCONJ
app01-5322	72	6	standard	standard	ADJ
app01-5322	72	7	deviations	deviation	NOUN
app01-5322	72	8	are	be	AUX
app01-5322	72	9	the	the	DET
app01-5322	72	10	hyperparameters	hyperparameter	NOUN
app01-5322	72	11	with	with	ADP
app01-5322	72	12	uninformative	uninformative	ADJ
app01-5322	72	13	uniform	uniform	ADJ
app01-5322	72	14	hyperprior	hyperprior	PROPN
app01-5322	72	15	.	.	PUNCT
app01-5322	73	1	the	the	DET
app01-5322	73	2	information	information	NOUN
app01-5322	73	3	is	be	AUX
app01-5322	73	4	combined	combine	VERB
app01-5322	73	5	according	accord	VERB
app01-5322	73	6	to	to	ADP
app01-5322	73	7	bayes	bayes	PROPN
app01-5322	73	8	’	'	PUNCT
app01-5322	73	9	rule	rule	NOUN
app01-5322	73	10	into	into	ADP
app01-5322	73	11	joint	joint	ADJ
app01-5322	73	12	posterior	posterior	ADJ
app01-5322	73	13	distribution	distribution	NOUN
app01-5322	73	14	of	of	ADP
app01-5322	73	15	90	90	NUM
app01-5322	73	16	random	random	ADJ
app01-5322	73	17	variables	variable	NOUN
app01-5322	73	18	,	,	PUNCT
app01-5322	73	19	specifically	specifically	ADV
app01-5322	73	20	,	,	PUNCT
app01-5322	73	21	80	80	NUM
app01-5322	73	22	parameters	parameter	NOUN
app01-5322	73	23	(	(	PUNCT
app01-5322	73	24	5	5	NUM
app01-5322	73	25	model	model	NOUN
app01-5322	73	26	parameters	parameter	NOUN
app01-5322	73	27	corresponding	correspond	VERB
app01-5322	73	28	to	to	ADP
app01-5322	73	29	each	each	PRON
app01-5322	73	30	of	of	ADP
app01-5322	73	31	16	16	NUM
app01-5322	73	32	measurements	measurement	NOUN
app01-5322	73	33	)	)	PUNCT
app01-5322	73	34	and	and	CCONJ
app01-5322	73	35	10	10	NUM
app01-5322	73	36	hyperparameters	hyperparameter	NOUN
app01-5322	73	37	(	(	PUNCT
app01-5322	73	38	2	2	NUM
app01-5322	73	39	statistical	statistical	ADJ
app01-5322	73	40	moments	moment	NOUN
app01-5322	73	41	of	of	ADP
app01-5322	73	42	every	every	DET
app01-5322	73	43	single	single	ADJ
app01-5322	73	44	parameter	parameter	NOUN
app01-5322	73	45	’s	’s	PART
app01-5322	73	46	marginal	marginal	ADJ
app01-5322	73	47	pdf	pdf	NOUN
app01-5322	73	48	)	)	PUNCT
app01-5322	73	49	.	.	PUNCT
app01-5322	74	1	the	the	DET
app01-5322	74	2	bayesian	bayesian	NOUN
app01-5322	74	3	inference	inference	NOUN
app01-5322	74	4	is	be	AUX
app01-5322	74	5	realized	realize	VERB
app01-5322	74	6	by	by	ADP
app01-5322	74	7	the	the	DET
app01-5322	74	8	markov	markov	NOUN
app01-5322	74	9	chain	chain	NOUN
app01-5322	74	10	monte	monte	PROPN
app01-5322	74	11	carlo	carlo	PROPN
app01-5322	74	12	(	(	PUNCT
app01-5322	74	13	mcmc	mcmc	PROPN
app01-5322	74	14	)	)	PUNCT
app01-5322	74	15	method	method	NOUN
app01-5322	74	16	providing	provide	VERB
app01-5322	74	17	posterior	posterior	ADJ
app01-5322	74	18	samples	sample	NOUN
app01-5322	74	19	[	[	X
app01-5322	74	20	9	9	NUM
app01-5322	74	21	,	,	PUNCT
app01-5322	74	22	10	10	NUM
app01-5322	74	23	]	]	PUNCT
app01-5322	74	24	.	.	PUNCT
app01-5322	75	1	the	the	DET
app01-5322	75	2	computational	computational	ADJ
app01-5322	75	3	effort	effort	NOUN
app01-5322	75	4	is	be	AUX
app01-5322	75	5	reduced	reduce	VERB
app01-5322	75	6	by	by	ADP
app01-5322	75	7	substituting	substitute	VERB
app01-5322	75	8	the	the	DET
app01-5322	75	9	full	full	ADJ
app01-5322	75	10	numerical	numerical	ADJ
app01-5322	75	11	model	model	NOUN
app01-5322	75	12	by	by	ADP
app01-5322	75	13	its	its	PRON
app01-5322	75	14	polynomial	polynomial	ADJ
app01-5322	75	15	chaos	chaos	NOUN
app01-5322	75	16	-	-	PUNCT
app01-5322	75	17	based	base	VERB
app01-5322	75	18	approximation	approximation	NOUN
app01-5322	75	19	,	,	PUNCT
app01-5322	75	20	specifically	specifically	ADV
app01-5322	75	21	by	by	ADP
app01-5322	75	22	the	the	DET
app01-5322	75	23	hermite	hermite	ADJ
app01-5322	75	24	polynomials	polynomial	NOUN
app01-5322	75	25	of	of	ADP
app01-5322	75	26	standard	standard	ADJ
app01-5322	75	27	normal	normal	ADJ
app01-5322	75	28	random	random	ADJ
app01-5322	75	29	variables	variable	NOUN
app01-5322	75	30	[	[	X
app01-5322	75	31	11	11	NUM
app01-5322	75	32	,	,	PUNCT
app01-5322	75	33	12	12	NUM
app01-5322	75	34	]	]	PUNCT
app01-5322	75	35	.	.	PUNCT
app01-5322	76	1	the	the	DET
app01-5322	76	2	polynomial	polynomial	ADJ
app01-5322	76	3	coefficients	coefficient	NOUN
app01-5322	76	4	are	be	AUX
app01-5322	76	5	computed	compute	VERB
app01-5322	76	6	with	with	ADP
app01-5322	76	7	a	a	DET
app01-5322	76	8	help	help	NOUN
app01-5322	76	9	of	of	ADP
app01-5322	76	10	regression	regression	NOUN
app01-5322	76	11	method	method	NOUN
app01-5322	76	12	[	[	X
app01-5322	76	13	13	13	NUM
app01-5322	76	14	]	]	PUNCT
app01-5322	76	15	based	base	VERB
app01-5322	76	16	on	on	ADP
app01-5322	76	17	latin	latin	ADJ
app01-5322	76	18	hypercube	hypercube	NOUN
app01-5322	76	19	sampling	sample	VERB
app01-5322	76	20	[	[	X
app01-5322	76	21	14	14	NUM
app01-5322	76	22	]	]	PUNCT
app01-5322	76	23	from	from	ADP
app01-5322	76	24	prior	prior	ADJ
app01-5322	76	25	parameter	parameter	NOUN
app01-5322	76	26	distribution	distribution	NOUN
app01-5322	76	27	.	.	PUNCT
app01-5322	77	1	4	4	X
app01-5322	77	2	.	.	X
app01-5322	77	3	model	model	NOUN
app01-5322	77	4	calibration	calibration	NOUN
app01-5322	77	5	in	in	ADP
app01-5322	77	6	order	order	NOUN
app01-5322	77	7	to	to	PART
app01-5322	77	8	verify	verify	VERB
app01-5322	77	9	the	the	DET
app01-5322	77	10	identification	identification	NOUN
app01-5322	77	11	method	method	NOUN
app01-5322	77	12	at	at	ADP
app01-5322	77	13	first	first	ADV
app01-5322	77	14	,	,	PUNCT
app01-5322	77	15	a	a	DET
app01-5322	77	16	synthetic	synthetic	ADJ
app01-5322	77	17	experimental	experimental	ADJ
app01-5322	77	18	data	datum	NOUN
app01-5322	77	19	set	set	VERB
app01-5322	77	20	of	of	ADP
app01-5322	77	21	16	16	NUM
app01-5322	77	22	model	model	NOUN
app01-5322	77	23	simulations	simulation	NOUN
app01-5322	77	24	,	,	PUNCT
app01-5322	77	25	see	see	VERB
app01-5322	77	26	figure	figure	NOUN
app01-5322	77	27	4	4	NUM
app01-5322	77	28	,	,	PUNCT
app01-5322	77	29	is	be	AUX
app01-5322	77	30	employed	employ	VERB
app01-5322	77	31	.	.	PUNCT
app01-5322	78	1	figure	figure	NOUN
app01-5322	78	2	5	5	NUM
app01-5322	78	3	shows	show	VERB
app01-5322	78	4	histograms	histogram	NOUN
app01-5322	78	5	corresponding	correspond	VERB
app01-5322	78	6	to	to	ADP
app01-5322	78	7	the	the	DET
app01-5322	78	8	simulations	simulation	NOUN
app01-5322	78	9	’	'	PUNCT
app01-5322	78	10	inputs	input	NOUN
app01-5322	78	11	generated	generate	VERB
app01-5322	78	12	from	from	ADP
app01-5322	78	13	the	the	DET
app01-5322	78	14	prescribed	prescribe	VERB
app01-5322	78	15	lognormal	lognormal	ADJ
app01-5322	78	16	distribution	distribution	NOUN
app01-5322	78	17	figure	figure	NOUN
app01-5322	78	18	4	4	NUM
app01-5322	78	19	.	.	NOUN
app01-5322	78	20	comparison	comparison	NOUN
app01-5322	78	21	of	of	ADP
app01-5322	78	22	synthetic	synthetic	ADJ
app01-5322	78	23	observations	observation	NOUN
app01-5322	78	24	(	(	PUNCT
app01-5322	78	25	black	black	NOUN
app01-5322	78	26	)	)	PUNCT
app01-5322	78	27	with	with	ADP
app01-5322	78	28	model	model	NOUN
app01-5322	78	29	responses	response	NOUN
app01-5322	78	30	(	(	PUNCT
app01-5322	78	31	red	red	ADJ
app01-5322	78	32	)	)	PUNCT
app01-5322	78	33	corresponding	correspond	VERB
app01-5322	78	34	to	to	ADP
app01-5322	78	35	the	the	DET
app01-5322	78	36	identified	identify	VERB
app01-5322	78	37	parameters	parameter	NOUN
app01-5322	78	38	’	’	PART
app01-5322	78	39	distribution	distribution	NOUN
app01-5322	78	40	in	in	ADP
app01-5322	78	41	a	a	DET
app01-5322	78	42	form	form	NOUN
app01-5322	78	43	of	of	ADP
app01-5322	78	44	mean	mean	ADJ
app01-5322	78	45	value	value	NOUN
app01-5322	78	46	±	±	NUM
app01-5322	78	47	standard	standard	ADJ
app01-5322	78	48	deviation	deviation	NOUN
app01-5322	78	49	.	.	PUNCT
app01-5322	79	1	43	43	NUM
app01-5322	79	2	eliška	eliška	PROPN
app01-5322	79	3	janouchová	janouchová	PROPN
app01-5322	79	4	,	,	PUNCT
app01-5322	79	5	anna	anna	PROPN
app01-5322	79	6	kučerová	kučerová	PROPN
app01-5322	79	7	acta	acta	PROPN
app01-5322	79	8	polytechnica	polytechnica	PROPN
app01-5322	79	9	ctu	ctu	PROPN
app01-5322	79	10	proceedings	proceeding	NOUN
app01-5322	79	11	figure	figure	VERB
app01-5322	79	12	5	5	NUM
app01-5322	79	13	.	.	PUNCT
app01-5322	80	1	verification	verification	NOUN
app01-5322	80	2	:	:	PUNCT
app01-5322	81	1	histograms	histogram	NOUN
app01-5322	81	2	of	of	ADP
app01-5322	81	3	synthetic	synthetic	ADJ
app01-5322	81	4	experimental	experimental	ADJ
app01-5322	81	5	inputs	input	NOUN
app01-5322	81	6	and	and	CCONJ
app01-5322	81	7	identified	identify	VERB
app01-5322	81	8	parameters	parameter	NOUN
app01-5322	81	9	’	'	PUNCT
app01-5322	81	10	pdf	pdf	NOUN
app01-5322	81	11	corresponding	correspond	VERB
app01-5322	81	12	to	to	ADP
app01-5322	81	13	hyperparameters	hyperparameter	NOUN
app01-5322	81	14	’	'	PUNCT
app01-5322	81	15	means	mean	NOUN
app01-5322	81	16	accompanied	accompany	VERB
app01-5322	81	17	by	by	ADP
app01-5322	81	18	bounds	bound	NOUN
app01-5322	81	19	corresponding	correspond	VERB
app01-5322	81	20	to	to	ADP
app01-5322	81	21	90	90	NUM
app01-5322	81	22	%	%	NOUN
app01-5322	81	23	of	of	ADP
app01-5322	81	24	hyperparameters	hyperparameter	NOUN
app01-5322	81	25	’	'	PUNCT
app01-5322	81	26	values	value	NOUN
app01-5322	81	27	.	.	PUNCT
app01-5322	82	1	figure	figure	VERB
app01-5322	82	2	6	6	NUM
app01-5322	82	3	.	.	PUNCT
app01-5322	83	1	validation	validation	NOUN
app01-5322	83	2	:	:	PUNCT
app01-5322	83	3	identified	identify	VERB
app01-5322	83	4	parameters	parameter	NOUN
app01-5322	83	5	’	’	PART
app01-5322	83	6	marginal	marginal	ADJ
app01-5322	83	7	pdf	pdf	NOUN
app01-5322	83	8	corresponding	correspond	VERB
app01-5322	83	9	to	to	ADP
app01-5322	83	10	hyperparameters	hyperparameter	NOUN
app01-5322	83	11	’	'	PUNCT
app01-5322	83	12	means	mean	NOUN
app01-5322	83	13	accompanied	accompany	VERB
app01-5322	83	14	by	by	ADP
app01-5322	83	15	bounds	bound	NOUN
app01-5322	83	16	corresponding	correspond	VERB
app01-5322	83	17	to	to	ADP
app01-5322	83	18	90	90	NUM
app01-5322	83	19	%	%	NOUN
app01-5322	83	20	of	of	ADP
app01-5322	83	21	hyperparameters	hyperparameter	NOUN
app01-5322	83	22	’	'	PUNCT
app01-5322	83	23	values	value	NOUN
app01-5322	83	24	.	.	PUNCT
app01-5322	84	1	in	in	ADP
app01-5322	84	2	a	a	DET
app01-5322	84	3	comparison	comparison	NOUN
app01-5322	84	4	with	with	ADP
app01-5322	84	5	the	the	DET
app01-5322	84	6	identified	identify	VERB
app01-5322	84	7	parameter	parameter	NOUN
app01-5322	84	8	distributions	distribution	NOUN
app01-5322	84	9	estimated	estimate	VERB
app01-5322	84	10	from	from	ADP
app01-5322	84	11	mcmc	mcmc	PROPN
app01-5322	84	12	posterior	posterior	PROPN
app01-5322	84	13	samples	sample	NOUN
app01-5322	84	14	.	.	PUNCT
app01-5322	85	1	the	the	DET
app01-5322	85	2	solid	solid	ADJ
app01-5322	85	3	lines	line	NOUN
app01-5322	85	4	correspond	correspond	VERB
app01-5322	85	5	to	to	ADP
app01-5322	85	6	parameters	parameter	NOUN
app01-5322	85	7	’	'	PUNCT
app01-5322	85	8	marginal	marginal	ADJ
app01-5322	85	9	pdfs	pdfs	NOUN
app01-5322	85	10	with	with	ADP
app01-5322	85	11	identified	identify	VERB
app01-5322	85	12	mean	mean	ADJ
app01-5322	85	13	values	value	NOUN
app01-5322	85	14	of	of	ADP
app01-5322	85	15	hyperparameters	hyperparameter	NOUN
app01-5322	85	16	representing	represent	VERB
app01-5322	85	17	the	the	DET
app01-5322	85	18	aleatory	aleatory	ADJ
app01-5322	85	19	uncertainties	uncertainty	NOUN
app01-5322	85	20	in	in	ADP
app01-5322	85	21	the	the	DET
app01-5322	85	22	parameters	parameter	NOUN
app01-5322	85	23	’	’	PART
app01-5322	85	24	values	value	NOUN
app01-5322	85	25	while	while	SCONJ
app01-5322	85	26	the	the	DET
app01-5322	85	27	dashed	dash	VERB
app01-5322	85	28	lines	line	NOUN
app01-5322	85	29	form	form	VERB
app01-5322	85	30	an	an	DET
app01-5322	85	31	envelope	envelope	NOUN
app01-5322	85	32	of	of	ADP
app01-5322	85	33	parameters	parameter	NOUN
app01-5322	85	34	’	'	PUNCT
app01-5322	85	35	pdfs	pdfs	PROPN
app01-5322	85	36	corresponding	correspond	VERB
app01-5322	85	37	to	to	ADP
app01-5322	85	38	90	90	NUM
app01-5322	85	39	%	%	NOUN
app01-5322	85	40	of	of	ADP
app01-5322	85	41	hyperparameters	hyperparameter	NOUN
app01-5322	85	42	’	'	PUNCT
app01-5322	85	43	values	value	NOUN
app01-5322	85	44	representing	represent	VERB
app01-5322	85	45	the	the	DET
app01-5322	85	46	epistemic	epistemic	ADJ
app01-5322	85	47	uncertainties	uncertainty	NOUN
app01-5322	85	48	.	.	PUNCT
app01-5322	86	1	as	as	SCONJ
app01-5322	86	2	expected	expect	VERB
app01-5322	86	3	due	due	ADP
app01-5322	86	4	to	to	ADP
app01-5322	86	5	experimental	experimental	ADJ
app01-5322	86	6	setting	setting	NOUN
app01-5322	86	7	,	,	PUNCT
app01-5322	86	8	the	the	DET
app01-5322	86	9	cyclic	cyclic	ADJ
app01-5322	86	10	material	material	NOUN
app01-5322	86	11	behaviour	behaviour	NOUN
app01-5322	86	12	is	be	AUX
app01-5322	86	13	dominated	dominate	VERB
app01-5322	86	14	by	by	ADP
app01-5322	86	15	the	the	DET
app01-5322	86	16	kinematic	kinematic	ADJ
app01-5322	86	17	hardening	harden	VERB
app01-5322	86	18	mechanism	mechanism	NOUN
app01-5322	86	19	at	at	ADP
app01-5322	86	20	a	a	DET
app01-5322	86	21	high	high	ADJ
app01-5322	86	22	temperature	temperature	NOUN
app01-5322	86	23	,	,	PUNCT
app01-5322	86	24	so	so	CCONJ
app01-5322	86	25	while	while	SCONJ
app01-5322	86	26	the	the	DET
app01-5322	86	27	isotropic	isotropic	NOUN
app01-5322	86	28	hardening	hardening	NOUN
app01-5322	86	29	parameter	parameter	NOUN
app01-5322	86	30	β	β	PROPN
app01-5322	86	31	is	be	AUX
app01-5322	86	32	not	not	PART
app01-5322	86	33	identified	identify	VERB
app01-5322	86	34	properly	properly	ADV
app01-5322	86	35	,	,	PUNCT
app01-5322	86	36	the	the	DET
app01-5322	86	37	kinematic	kinematic	ADJ
app01-5322	86	38	hardening	harden	VERB
app01-5322	86	39	parameter	parameter	NOUN
app01-5322	86	40	γ	γ	PROPN
app01-5322	86	41	is	be	AUX
app01-5322	86	42	inferred	infer	VERB
app01-5322	86	43	very	very	ADV
app01-5322	86	44	precisely	precisely	ADV
app01-5322	86	45	and	and	CCONJ
app01-5322	86	46	epistemic	epistemic	ADJ
app01-5322	86	47	uncertainties	uncertainty	NOUN
app01-5322	86	48	connected	connect	VERB
app01-5322	86	49	to	to	ADP
app01-5322	86	50	its	its	PRON
app01-5322	86	51	pdf	pdf	NOUN
app01-5322	86	52	are	be	AUX
app01-5322	86	53	reduced	reduce	VERB
app01-5322	86	54	significantly	significantly	ADV
app01-5322	86	55	.	.	PUNCT
app01-5322	87	1	the	the	DET
app01-5322	87	2	identified	identify	VERB
app01-5322	87	3	parameters	parameter	NOUN
app01-5322	87	4	’	'	PUNCT
app01-5322	87	5	pdf	pdf	NOUN
app01-5322	87	6	corresponding	correspond	VERB
app01-5322	87	7	to	to	ADP
app01-5322	87	8	hyperparameters	hyperparameter	NOUN
app01-5322	87	9	’	'	PUNCT
app01-5322	87	10	mean	mean	ADJ
app01-5322	87	11	values	value	NOUN
app01-5322	87	12	is	be	AUX
app01-5322	87	13	used	use	VERB
app01-5322	87	14	to	to	PART
app01-5322	87	15	quantify	quantify	VERB
app01-5322	87	16	aleatory	aleatory	ADJ
app01-5322	87	17	uncertainty	uncertainty	NOUN
app01-5322	87	18	in	in	ADP
app01-5322	87	19	the	the	DET
app01-5322	87	20	model	model	NOUN
app01-5322	87	21	response	response	NOUN
app01-5322	87	22	,	,	PUNCT
app01-5322	87	23	which	which	PRON
app01-5322	87	24	is	be	AUX
app01-5322	87	25	presented	present	VERB
app01-5322	87	26	in	in	ADP
app01-5322	87	27	figure	figure	NOUN
app01-5322	87	28	4	4	NUM
app01-5322	87	29	.	.	PUNCT
app01-5322	87	30	estimation	estimation	NOUN
app01-5322	87	31	of	of	ADP
app01-5322	87	32	the	the	DET
app01-5322	87	33	aleatory	aleatory	ADJ
app01-5322	87	34	uncertainty	uncertainty	NOUN
app01-5322	87	35	in	in	ADP
app01-5322	87	36	the	the	DET
app01-5322	87	37	model	model	NOUN
app01-5322	87	38	response	response	NOUN
app01-5322	87	39	has	have	VERB
app01-5322	87	40	a	a	DET
app01-5322	87	41	good	good	ADJ
app01-5322	87	42	match	match	NOUN
app01-5322	87	43	with	with	ADP
app01-5322	87	44	the	the	DET
app01-5322	87	45	synthetic	synthetic	ADJ
app01-5322	87	46	experimental	experimental	ADJ
app01-5322	87	47	data	datum	NOUN
app01-5322	87	48	.	.	PUNCT
app01-5322	88	1	from	from	ADP
app01-5322	88	2	this	this	DET
app01-5322	88	3	point	point	NOUN
app01-5322	88	4	of	of	ADP
app01-5322	88	5	view	view	NOUN
app01-5322	88	6	,	,	PUNCT
app01-5322	88	7	the	the	DET
app01-5322	88	8	results	result	NOUN
app01-5322	88	9	of	of	ADP
app01-5322	88	10	the	the	DET
app01-5322	88	11	proposed	propose	VERB
app01-5322	88	12	identification	identification	NOUN
app01-5322	88	13	procedure	procedure	NOUN
app01-5322	88	14	are	be	AUX
app01-5322	88	15	satisfactory	satisfactory	ADJ
app01-5322	88	16	.	.	PUNCT
app01-5322	89	1	since	since	SCONJ
app01-5322	89	2	the	the	DET
app01-5322	89	3	proposed	propose	VERB
app01-5322	89	4	method	method	NOUN
app01-5322	89	5	of	of	ADP
app01-5322	89	6	model	model	NOUN
app01-5322	89	7	calibration	calibration	NOUN
app01-5322	89	8	passed	pass	VERB
app01-5322	89	9	the	the	DET
app01-5322	89	10	verification	verification	NOUN
app01-5322	89	11	process	process	NOUN
app01-5322	89	12	successfully	successfully	ADV
app01-5322	89	13	,	,	PUNCT
app01-5322	89	14	the	the	DET
app01-5322	89	15	model	model	NOUN
app01-5322	89	16	calibration	calibration	NOUN
app01-5322	89	17	based	base	VERB
app01-5322	89	18	on	on	ADP
app01-5322	89	19	the	the	DET
app01-5322	89	20	real	real	ADJ
app01-5322	89	21	experimental	experimental	ADJ
app01-5322	89	22	data	datum	NOUN
app01-5322	89	23	follows	follow	VERB
app01-5322	89	24	.	.	PUNCT
app01-5322	90	1	the	the	DET
app01-5322	90	2	results	result	NOUN
app01-5322	90	3	of	of	ADP
app01-5322	90	4	model	model	NOUN
app01-5322	90	5	calibration	calibration	NOUN
app01-5322	90	6	are	be	AUX
app01-5322	90	7	presented	present	VERB
app01-5322	90	8	in	in	ADP
app01-5322	90	9	the	the	DET
app01-5322	90	10	same	same	ADJ
app01-5322	90	11	manner	manner	NOUN
app01-5322	90	12	as	as	ADP
app01-5322	90	13	the	the	DET
app01-5322	90	14	verification	verification	NOUN
app01-5322	90	15	results	result	NOUN
app01-5322	90	16	.	.	PUNCT
app01-5322	91	1	the	the	DET
app01-5322	91	2	figure	figure	NOUN
app01-5322	91	3	6	6	NUM
app01-5322	91	4	shows	show	VERB
app01-5322	91	5	the	the	DET
app01-5322	91	6	identified	identify	VERB
app01-5322	91	7	most	most	ADV
app01-5322	91	8	likely	likely	ADJ
app01-5322	91	9	marginal	marginal	ADJ
app01-5322	91	10	parameters	parameter	NOUN
app01-5322	91	11	’	'	PUNCT
app01-5322	91	12	pdfs	pdfs	NOUN
app01-5322	91	13	with	with	ADP
app01-5322	91	14	depicted	depict	VERB
app01-5322	91	15	epistemic	epistemic	ADJ
app01-5322	91	16	uncertainties	uncertainty	NOUN
app01-5322	91	17	.	.	PUNCT
app01-5322	92	1	now	now	ADV
app01-5322	92	2	,	,	PUNCT
app01-5322	92	3	it	it	PRON
app01-5322	92	4	is	be	AUX
app01-5322	92	5	not	not	PART
app01-5322	92	6	possible	possible	ADJ
app01-5322	92	7	to	to	PART
app01-5322	92	8	compare	compare	VERB
app01-5322	92	9	the	the	DET
app01-5322	92	10	results	result	NOUN
app01-5322	92	11	on	on	ADP
app01-5322	92	12	a	a	DET
app01-5322	92	13	level	level	NOUN
app01-5322	92	14	of	of	ADP
app01-5322	92	15	model	model	NOUN
app01-5322	92	16	parameters	parameter	NOUN
app01-5322	92	17	’	’	PART
app01-5322	92	18	values	value	NOUN
app01-5322	92	19	,	,	PUNCT
app01-5322	92	20	but	but	CCONJ
app01-5322	92	21	the	the	DET
app01-5322	92	22	epistemic	epistemic	ADJ
app01-5322	92	23	uncertainties	uncertainty	NOUN
app01-5322	92	24	are	be	AUX
app01-5322	92	25	reduced	reduce	VERB
app01-5322	92	26	the	the	DET
app01-5322	92	27	most	most	ADJ
app01-5322	92	28	in	in	ADP
app01-5322	92	29	the	the	DET
app01-5322	92	30	case	case	NOUN
app01-5322	92	31	of	of	ADP
app01-5322	92	32	the	the	DET
app01-5322	92	33	parameter	parameter	NOUN
app01-5322	92	34	γ	γ	PROPN
app01-5322	92	35	again	again	ADV
app01-5322	92	36	due	due	ADP
app01-5322	92	37	to	to	ADP
app01-5322	92	38	the	the	DET
app01-5322	92	39	experimental	experimental	ADJ
app01-5322	92	40	setup	setup	NOUN
app01-5322	92	41	.	.	PUNCT
app01-5322	93	1	the	the	DET
app01-5322	93	2	aleatory	aleatory	ADJ
app01-5322	93	3	uncertainty	uncertainty	NOUN
app01-5322	93	4	caused	cause	VERB
app01-5322	93	5	by	by	ADP
app01-5322	93	6	heterogeneous	heterogeneous	ADJ
app01-5322	93	7	character	character	NOUN
app01-5322	93	8	of	of	ADP
app01-5322	93	9	the	the	DET
app01-5322	93	10	modelled	model	VERB
app01-5322	93	11	material	material	NOUN
app01-5322	93	12	is	be	AUX
app01-5322	93	13	sufficiently	sufficiently	ADV
app01-5322	93	14	captured	capture	VERB
app01-5322	93	15	,	,	PUNCT
app01-5322	93	16	see	see	VERB
app01-5322	93	17	figure	figure	NOUN
app01-5322	93	18	7	7	NUM
app01-5322	93	19	presenting	present	VERB
app01-5322	93	20	comparison	comparison	NOUN
app01-5322	93	21	of	of	ADP
app01-5322	93	22	experimental	experimental	ADJ
app01-5322	93	23	data	datum	NOUN
app01-5322	93	24	and	and	CCONJ
app01-5322	93	25	model	model	NOUN
app01-5322	93	26	responses	response	NOUN
app01-5322	93	27	corresponding	correspond	VERB
app01-5322	93	28	to	to	ADP
app01-5322	93	29	the	the	DET
app01-5322	93	30	identified	identify	VERB
app01-5322	93	31	parameters	parameter	NOUN
app01-5322	93	32	’	'	PUNCT
app01-5322	93	33	pdf	pdf	NOUN
app01-5322	93	34	.	.	PUNCT
app01-5322	94	1	figure	figure	NOUN
app01-5322	94	2	7	7	NUM
app01-5322	94	3	.	.	PUNCT
app01-5322	94	4	comparison	comparison	NOUN
app01-5322	94	5	of	of	ADP
app01-5322	94	6	experimental	experimental	ADJ
app01-5322	94	7	observations	observation	NOUN
app01-5322	94	8	(	(	PUNCT
app01-5322	94	9	black	black	NOUN
app01-5322	94	10	)	)	PUNCT
app01-5322	94	11	with	with	ADP
app01-5322	94	12	model	model	NOUN
app01-5322	94	13	responses	response	NOUN
app01-5322	94	14	(	(	PUNCT
app01-5322	94	15	red	red	ADJ
app01-5322	94	16	)	)	PUNCT
app01-5322	94	17	corresponding	correspond	VERB
app01-5322	94	18	to	to	ADP
app01-5322	94	19	the	the	DET
app01-5322	94	20	identified	identify	VERB
app01-5322	94	21	parameters	parameter	NOUN
app01-5322	94	22	’	’	PART
app01-5322	94	23	distribution	distribution	NOUN
app01-5322	94	24	in	in	ADP
app01-5322	94	25	a	a	DET
app01-5322	94	26	form	form	NOUN
app01-5322	94	27	of	of	ADP
app01-5322	94	28	mean	mean	ADJ
app01-5322	94	29	value	value	NOUN
app01-5322	94	30	±	±	NUM
app01-5322	94	31	standard	standard	ADJ
app01-5322	94	32	deviation	deviation	NOUN
app01-5322	94	33	.	.	PUNCT
app01-5322	95	1	5	5	X
app01-5322	95	2	.	.	X
app01-5322	95	3	conclusions	conclusion	NOUN
app01-5322	95	4	the	the	DET
app01-5322	95	5	multilevel	multilevel	ADJ
app01-5322	95	6	setting	setting	NOUN
app01-5322	95	7	of	of	ADP
app01-5322	95	8	the	the	DET
app01-5322	95	9	bayesian	bayesian	NOUN
app01-5322	95	10	inference	inference	NOUN
app01-5322	95	11	provides	provide	VERB
app01-5322	95	12	an	an	DET
app01-5322	95	13	elegant	elegant	ADJ
app01-5322	95	14	solution	solution	NOUN
app01-5322	95	15	for	for	ADP
app01-5322	95	16	stochastic	stochastic	ADJ
app01-5322	95	17	inversion	inversion	NOUN
app01-5322	95	18	problems	problem	NOUN
app01-5322	95	19	.	.	PUNCT
app01-5322	96	1	this	this	DET
app01-5322	96	2	efficient	efficient	ADJ
app01-5322	96	3	tool	tool	NOUN
app01-5322	96	4	enables	enable	VERB
app01-5322	96	5	to	to	PART
app01-5322	96	6	separate	separate	VERB
app01-5322	96	7	epistemic	epistemic	ADJ
app01-5322	96	8	uncertainties	uncertainty	NOUN
app01-5322	96	9	and	and	CCONJ
app01-5322	96	10	inherent	inherent	ADJ
app01-5322	96	11	variability	variability	NOUN
app01-5322	96	12	,	,	PUNCT
app01-5322	96	13	which	which	PRON
app01-5322	96	14	is	be	AUX
app01-5322	96	15	fundamental	fundamental	ADJ
app01-5322	96	16	for	for	ADP
app01-5322	96	17	successful	successful	ADJ
app01-5322	96	18	parameter	parameter	NOUN
app01-5322	96	19	identification	identification	NOUN
app01-5322	96	20	of	of	ADP
app01-5322	96	21	heterogeneous	heterogeneous	ADJ
app01-5322	96	22	material	material	NOUN
app01-5322	96	23	model	model	NOUN
app01-5322	96	24	from	from	ADP
app01-5322	96	25	indirect	indirect	ADJ
app01-5322	96	26	noisy	noisy	ADJ
app01-5322	96	27	measurements	measurement	NOUN
app01-5322	96	28	.	.	PUNCT
app01-5322	97	1	the	the	DET
app01-5322	97	2	major	major	ADJ
app01-5322	97	3	disadvantage	disadvantage	NOUN
app01-5322	97	4	of	of	ADP
app01-5322	97	5	this	this	DET
app01-5322	97	6	method	method	NOUN
app01-5322	97	7	is	be	AUX
app01-5322	97	8	the	the	DET
app01-5322	97	9	requirement	requirement	NOUN
app01-5322	97	10	of	of	ADP
app01-5322	97	11	assuming	assume	VERB
app01-5322	97	12	some	some	DET
app01-5322	97	13	specific	specific	ADJ
app01-5322	97	14	type	type	NOUN
app01-5322	97	15	of	of	ADP
app01-5322	97	16	parameters	parameter	NOUN
app01-5322	97	17	’	'	PUNCT
app01-5322	97	18	pdf	pdf	NOUN
app01-5322	97	19	which	which	PRON
app01-5322	97	20	affects	affect	VERB
app01-5322	97	21	the	the	DET
app01-5322	97	22	result	result	NOUN
app01-5322	97	23	essentially	essentially	ADV
app01-5322	97	24	and	and	CCONJ
app01-5322	97	25	44	44	NUM
app01-5322	97	26	vol	vol	NOUN
app01-5322	97	27	.	.	PUNCT
app01-5322	98	1	15/2018	15/2018	NUM
app01-5322	98	2	bayesian	bayesian	NOUN
app01-5322	98	3	inference	inference	NOUN
app01-5322	98	4	of	of	ADP
app01-5322	98	5	heterogeneous	heterogeneous	ADJ
app01-5322	98	6	viscoplastic	viscoplastic	ADJ
app01-5322	98	7	material	material	NOUN
app01-5322	98	8	parameters	parameter	NOUN
app01-5322	98	9	it	it	PRON
app01-5322	98	10	can	can	AUX
app01-5322	98	11	be	be	AUX
app01-5322	98	12	problematic	problematic	ADJ
app01-5322	98	13	for	for	ADP
app01-5322	98	14	example	example	NOUN
app01-5322	98	15	in	in	ADP
app01-5322	98	16	the	the	DET
app01-5322	98	17	case	case	NOUN
app01-5322	98	18	of	of	ADP
app01-5322	98	19	phenomenological	phenomenological	ADJ
app01-5322	98	20	parameters	parameter	NOUN
app01-5322	98	21	.	.	PUNCT
app01-5322	99	1	the	the	DET
app01-5322	99	2	formulated	formulate	VERB
app01-5322	99	3	posterior	posterior	ADJ
app01-5322	99	4	probability	probability	NOUN
app01-5322	99	5	distribution	distribution	NOUN
app01-5322	99	6	can	can	AUX
app01-5322	99	7	be	be	AUX
app01-5322	99	8	gained	gain	VERB
app01-5322	99	9	in	in	ADP
app01-5322	99	10	a	a	DET
app01-5322	99	11	form	form	NOUN
app01-5322	99	12	of	of	ADP
app01-5322	99	13	independent	independent	ADJ
app01-5322	99	14	samples	sample	NOUN
app01-5322	99	15	by	by	ADP
app01-5322	99	16	the	the	DET
app01-5322	99	17	markov	markov	NOUN
app01-5322	99	18	chain	chain	NOUN
app01-5322	99	19	monte	monte	PROPN
app01-5322	99	20	carlo	carlo	PROPN
app01-5322	99	21	method	method	PROPN
app01-5322	99	22	,	,	PUNCT
app01-5322	99	23	however	however	ADV
app01-5322	99	24	the	the	DET
app01-5322	99	25	computational	computational	ADJ
app01-5322	99	26	demands	demand	NOUN
app01-5322	99	27	increase	increase	VERB
app01-5322	99	28	significantly	significantly	ADV
app01-5322	99	29	with	with	ADP
app01-5322	99	30	a	a	DET
app01-5322	99	31	number	number	NOUN
app01-5322	99	32	of	of	ADP
app01-5322	99	33	measurements	measurement	NOUN
app01-5322	99	34	,	,	PUNCT
app01-5322	99	35	so	so	SCONJ
app01-5322	99	36	this	this	DET
app01-5322	99	37	approach	approach	NOUN
app01-5322	99	38	is	be	AUX
app01-5322	99	39	suitable	suitable	ADJ
app01-5322	99	40	especially	especially	ADV
app01-5322	99	41	for	for	ADP
app01-5322	99	42	small	small	ADJ
app01-5322	99	43	experimental	experimental	ADJ
app01-5322	99	44	data	data	NOUN
app01-5322	99	45	sets	set	NOUN
app01-5322	99	46	.	.	PUNCT
app01-5322	100	1	in	in	ADP
app01-5322	100	2	this	this	DET
app01-5322	100	3	contribution	contribution	NOUN
app01-5322	100	4	,	,	PUNCT
app01-5322	100	5	the	the	DET
app01-5322	100	6	material	material	NOUN
app01-5322	100	7	model	model	NOUN
app01-5322	100	8	of	of	ADP
app01-5322	100	9	kinematic	kinematic	NOUN
app01-5322	100	10	and	and	CCONJ
app01-5322	100	11	isotropic	isotropic	ADJ
app01-5322	100	12	hardening	hardening	NOUN
app01-5322	100	13	for	for	ADP
app01-5322	100	14	copper	copper	NOUN
app01-5322	100	15	alloy	alloy	NOUN
app01-5322	100	16	is	be	AUX
app01-5322	100	17	successfully	successfully	ADV
app01-5322	100	18	calibrated	calibrate	VERB
app01-5322	100	19	on	on	ADP
app01-5322	100	20	a	a	DET
app01-5322	100	21	basis	basis	NOUN
app01-5322	100	22	of	of	ADP
app01-5322	100	23	the	the	DET
app01-5322	100	24	experimental	experimental	ADJ
app01-5322	100	25	data	datum	NOUN
app01-5322	100	26	set	set	VERB
app01-5322	100	27	of	of	ADP
app01-5322	100	28	16	16	NUM
app01-5322	100	29	repetitions	repetition	NOUN
app01-5322	100	30	of	of	ADP
app01-5322	100	31	a	a	DET
app01-5322	100	32	strain	strain	NOUN
app01-5322	100	33	-	-	PUNCT
app01-5322	100	34	controlled	control	VERB
app01-5322	100	35	cyclic	cyclic	ADJ
app01-5322	100	36	loading	loading	NOUN
app01-5322	100	37	test	test	NOUN
app01-5322	100	38	at	at	ADP
app01-5322	100	39	a	a	DET
app01-5322	100	40	high	high	ADJ
app01-5322	100	41	temperature	temperature	NOUN
app01-5322	100	42	.	.	PUNCT
app01-5322	101	1	at	at	ADP
app01-5322	101	2	first	first	ADV
app01-5322	101	3	,	,	PUNCT
app01-5322	101	4	identification	identification	NOUN
app01-5322	101	5	of	of	ADP
app01-5322	101	6	aleatory	aleatory	ADJ
app01-5322	101	7	as	as	ADV
app01-5322	101	8	well	well	ADV
app01-5322	101	9	as	as	ADP
app01-5322	101	10	epistemic	epistemic	ADJ
app01-5322	101	11	uncertainties	uncertainty	NOUN
app01-5322	101	12	with	with	ADP
app01-5322	101	13	a	a	DET
app01-5322	101	14	help	help	NOUN
app01-5322	101	15	of	of	ADP
app01-5322	101	16	the	the	DET
app01-5322	101	17	bayesian	bayesian	NOUN
app01-5322	101	18	inference	inference	NOUN
app01-5322	101	19	is	be	AUX
app01-5322	101	20	presented	present	VERB
app01-5322	101	21	for	for	ADP
app01-5322	101	22	the	the	DET
app01-5322	101	23	case	case	NOUN
app01-5322	101	24	of	of	ADP
app01-5322	101	25	synthetically	synthetically	ADV
app01-5322	101	26	generated	generate	VERB
app01-5322	101	27	experimental	experimental	ADJ
app01-5322	101	28	data	datum	NOUN
app01-5322	101	29	.	.	PUNCT
app01-5322	102	1	after	after	ADP
app01-5322	102	2	the	the	DET
app01-5322	102	3	successful	successful	ADJ
app01-5322	102	4	verification	verification	NOUN
app01-5322	102	5	of	of	ADP
app01-5322	102	6	the	the	DET
app01-5322	102	7	identification	identification	NOUN
app01-5322	102	8	procedure	procedure	NOUN
app01-5322	102	9	,	,	PUNCT
app01-5322	102	10	the	the	DET
app01-5322	102	11	real	real	ADJ
app01-5322	102	12	experimental	experimental	ADJ
app01-5322	102	13	data	datum	NOUN
app01-5322	102	14	are	be	AUX
app01-5322	102	15	processed	process	VERB
app01-5322	102	16	in	in	ADP
app01-5322	102	17	the	the	DET
app01-5322	102	18	same	same	ADJ
app01-5322	102	19	way	way	NOUN
app01-5322	102	20	to	to	PART
app01-5322	102	21	calibrate	calibrate	VERB
app01-5322	102	22	the	the	DET
app01-5322	102	23	numerical	numerical	ADJ
app01-5322	102	24	model	model	NOUN
app01-5322	102	25	.	.	PUNCT
app01-5322	103	1	due	due	ADP
app01-5322	103	2	to	to	ADP
app01-5322	103	3	the	the	DET
app01-5322	103	4	experimental	experimental	ADJ
app01-5322	103	5	setup	setup	NOUN
app01-5322	103	6	,	,	PUNCT
app01-5322	103	7	when	when	SCONJ
app01-5322	103	8	kinematic	kinematic	ADJ
app01-5322	103	9	hardening	hardening	NOUN
app01-5322	103	10	of	of	ADP
app01-5322	103	11	the	the	DET
app01-5322	103	12	material	material	NOUN
app01-5322	103	13	plays	play	VERB
app01-5322	103	14	the	the	DET
app01-5322	103	15	main	main	ADJ
app01-5322	103	16	role	role	NOUN
app01-5322	103	17	,	,	PUNCT
app01-5322	103	18	the	the	DET
app01-5322	103	19	parameters	parameter	NOUN
app01-5322	103	20	of	of	ADP
app01-5322	103	21	kinematic	kinematic	ADJ
app01-5322	103	22	hardening	hardening	NOUN
app01-5322	103	23	are	be	AUX
app01-5322	103	24	identified	identify	VERB
app01-5322	103	25	more	more	ADV
app01-5322	103	26	precisely	precisely	ADV
app01-5322	103	27	than	than	ADP
app01-5322	103	28	the	the	DET
app01-5322	103	29	parameters	parameter	NOUN
app01-5322	103	30	of	of	ADP
app01-5322	103	31	isotropic	isotropic	ADJ
app01-5322	103	32	hardening	hardening	NOUN
app01-5322	103	33	.	.	PUNCT
app01-5322	104	1	in	in	ADP
app01-5322	104	2	order	order	NOUN
app01-5322	104	3	to	to	PART
app01-5322	104	4	identify	identify	VERB
app01-5322	104	5	all	all	DET
app01-5322	104	6	the	the	DET
app01-5322	104	7	parameters	parameter	NOUN
app01-5322	104	8	more	more	ADV
app01-5322	104	9	accurately	accurately	ADV
app01-5322	104	10	,	,	PUNCT
app01-5322	104	11	some	some	PRON
app01-5322	104	12	more	more	ADJ
app01-5322	104	13	data	datum	NOUN
app01-5322	104	14	from	from	ADP
app01-5322	104	15	another	another	DET
app01-5322	104	16	type	type	NOUN
app01-5322	104	17	of	of	ADP
app01-5322	104	18	experiment	experiment	NOUN
app01-5322	104	19	have	have	VERB
app01-5322	104	20	to	to	PART
app01-5322	104	21	be	be	AUX
app01-5322	104	22	available	available	ADJ
app01-5322	104	23	to	to	PART
app01-5322	104	24	obtain	obtain	VERB
app01-5322	104	25	the	the	DET
app01-5322	104	26	necessary	necessary	ADJ
app01-5322	104	27	additional	additional	ADJ
app01-5322	104	28	information	information	NOUN
app01-5322	104	29	.	.	PUNCT
app01-5322	105	1	acknowledgements	acknowledgement	NOUN
app01-5322	105	2	this	this	DET
app01-5322	105	3	outcome	outcome	NOUN
app01-5322	105	4	was	be	AUX
app01-5322	105	5	financially	financially	ADV
app01-5322	105	6	supported	support	VERB
app01-5322	105	7	by	by	ADP
app01-5322	105	8	the	the	DET
app01-5322	105	9	czech	czech	PROPN
app01-5322	105	10	science	science	PROPN
app01-5322	105	11	foundation	foundation	PROPN
app01-5322	105	12	,	,	PUNCT
app01-5322	105	13	project	project	VERB
app01-5322	105	14	no	no	NOUN
app01-5322	105	15	.	.	NOUN
app01-5322	106	1	16	16	NUM
app01-5322	106	2	-	-	PUNCT
app01-5322	106	3	11473y	11473y	NUM
app01-5322	106	4	,	,	PUNCT
app01-5322	106	5	and	and	CCONJ
app01-5322	106	6	the	the	DET
app01-5322	106	7	grant	grant	PROPN
app01-5322	106	8	agency	agency	NOUN
app01-5322	106	9	of	of	ADP
app01-5322	106	10	the	the	DET
app01-5322	106	11	czech	czech	PROPN
app01-5322	106	12	technical	technical	PROPN
app01-5322	106	13	university	university	PROPN
app01-5322	106	14	in	in	ADP
app01-5322	106	15	prague	prague	PROPN
app01-5322	106	16	,	,	PUNCT
app01-5322	106	17	grant	grant	VERB
app01-5322	106	18	no	no	INTJ
app01-5322	106	19	.	.	PUNCT
app01-5322	107	1	sgs18/036	sgs18/036	NOUN
app01-5322	107	2	/	/	SYM
app01-5322	107	3	ohk1/1t/11	ohk1/1t/11	PROPN
app01-5322	107	4	.	.	PUNCT
app01-5322	108	1	references	reference	NOUN
app01-5322	108	2	[	[	X
app01-5322	108	3	1	1	NUM
app01-5322	108	4	]	]	PUNCT
app01-5322	108	5	w.	w.	PROPN
app01-5322	108	6	l.	l.	PROPN
app01-5322	108	7	oberkampf	oberkampf	PROPN
app01-5322	108	8	,	,	PUNCT
app01-5322	108	9	s.	s.	PROPN
app01-5322	108	10	m.	m.	PROPN
app01-5322	108	11	deland	deland	PROPN
app01-5322	108	12	,	,	PUNCT
app01-5322	108	13	b.	b.	PROPN
app01-5322	108	14	m.	m.	PROPN
app01-5322	108	15	rutherford	rutherford	PROPN
app01-5322	108	16	,	,	PUNCT
app01-5322	108	17	et	et	PROPN
app01-5322	108	18	al	al	PROPN
app01-5322	108	19	.	.	PUNCT
app01-5322	108	20	error	error	NOUN
app01-5322	108	21	and	and	CCONJ
app01-5322	108	22	uncertainty	uncertainty	NOUN
app01-5322	108	23	in	in	ADP
app01-5322	108	24	modeling	modeling	NOUN
app01-5322	108	25	and	and	CCONJ
app01-5322	108	26	simulation	simulation	NOUN
app01-5322	108	27	.	.	PUNCT
app01-5322	109	1	reliability	reliability	NOUN
app01-5322	109	2	engineering	engineering	NOUN
app01-5322	109	3	&	&	CCONJ
app01-5322	109	4	system	system	NOUN
app01-5322	109	5	safety	safety	NOUN
app01-5322	109	6	75(3):333–357	75(3):333–357	PROPN
app01-5322	109	7	,	,	PUNCT
app01-5322	109	8	2002	2002	NUM
app01-5322	109	9	.	.	PUNCT
app01-5322	110	1	[	[	X
app01-5322	110	2	2	2	NUM
app01-5322	110	3	]	]	PUNCT
app01-5322	110	4	a.	a.	NOUN
app01-5322	110	5	gelman	gelman	PROPN
app01-5322	110	6	,	,	PUNCT
app01-5322	110	7	j.	j.	PROPN
app01-5322	110	8	b.	b.	PROPN
app01-5322	110	9	carlin	carlin	PROPN
app01-5322	110	10	,	,	PUNCT
app01-5322	110	11	h.	h.	PROPN
app01-5322	110	12	s.	s.	PROPN
app01-5322	110	13	stern	stern	PROPN
app01-5322	110	14	,	,	PUNCT
app01-5322	110	15	d.	d.	PROPN
app01-5322	110	16	b.	b.	PROPN
app01-5322	110	17	rubin	rubin	PROPN
app01-5322	110	18	.	.	PUNCT
app01-5322	111	1	bayesian	bayesian	NOUN
app01-5322	111	2	data	datum	NOUN
app01-5322	111	3	analysis	analysis	NOUN
app01-5322	111	4	.	.	PUNCT
app01-5322	112	1	chapman	chapman	PROPN
app01-5322	112	2	&	&	CCONJ
app01-5322	112	3	hall	hall	PROPN
app01-5322	112	4	/	/	SYM
app01-5322	112	5	crc	crc	PROPN
app01-5322	112	6	,	,	PUNCT
app01-5322	112	7	druhé	druhé	ADJ
app01-5322	112	8	edn	edn	NOUN
app01-5322	112	9	.	.	PUNCT
app01-5322	112	10	,	,	PUNCT
app01-5322	112	11	c2004	c2004	PROPN
app01-5322	112	12	.	.	PUNCT
app01-5322	113	1	[	[	X
app01-5322	113	2	3	3	X
app01-5322	113	3	]	]	X
app01-5322	113	4	e.	e.	PROPN
app01-5322	113	5	janouchová	janouchová	PROPN
app01-5322	113	6	,	,	PUNCT
app01-5322	113	7	a.	a.	PROPN
app01-5322	113	8	kučerová	kučerová	PROPN
app01-5322	113	9	,	,	PUNCT
app01-5322	113	10	j.	j.	PROPN
app01-5322	113	11	sýkora	sýkora	PROPN
app01-5322	113	12	.	.	PUNCT
app01-5322	114	1	bayesian	bayesian	NOUN
app01-5322	114	2	updating	updating	NOUN
app01-5322	114	3	of	of	ADP
app01-5322	114	4	aleatory	aleatory	ADJ
app01-5322	114	5	uncertainties	uncertainty	NOUN
app01-5322	114	6	in	in	ADP
app01-5322	114	7	heterogeneous	heterogeneous	ADJ
app01-5322	114	8	materials	material	NOUN
app01-5322	114	9	.	.	PUNCT
app01-5322	115	1	in	in	ADP
app01-5322	115	2	modern	modern	ADJ
app01-5322	115	3	methods	method	NOUN
app01-5322	115	4	of	of	ADP
app01-5322	115	5	experimental	experimental	ADJ
app01-5322	115	6	and	and	CCONJ
app01-5322	115	7	computational	computational	ADJ
app01-5322	115	8	investigations	investigation	NOUN
app01-5322	115	9	in	in	ADP
app01-5322	115	10	area	area	NOUN
app01-5322	115	11	of	of	ADP
app01-5322	115	12	construction	construction	PROPN
app01-5322	115	13	ii	ii	PROPN
app01-5322	115	14	,	,	PUNCT
app01-5322	115	15	vol	vol	NOUN
app01-5322	115	16	.	.	PUNCT
app01-5322	115	17	1144	1144	NUM
app01-5322	115	18	of	of	ADP
app01-5322	115	19	advanced	advanced	ADJ
app01-5322	115	20	materials	material	NOUN
app01-5322	115	21	research	research	NOUN
app01-5322	115	22	,	,	PUNCT
app01-5322	115	23	pp	pp	ADJ
app01-5322	115	24	.	.	PUNCT
app01-5322	116	1	136–141	136–141	NUM
app01-5322	116	2	.	.	PUNCT
app01-5322	116	3	trans	trans	PROPN
app01-5322	116	4	tech	tech	PROPN
app01-5322	116	5	publications	publication	NOUN
app01-5322	116	6	,	,	PUNCT
app01-5322	116	7	2017	2017	NUM
app01-5322	116	8	.	.	PUNCT
app01-5322	117	1	[	[	X
app01-5322	117	2	4	4	X
app01-5322	117	3	]	]	PUNCT
app01-5322	117	4	t.	t.	PROPN
app01-5322	117	5	bayes	bayes	PROPN
app01-5322	117	6	,	,	PUNCT
app01-5322	117	7	r.	r.	PROPN
app01-5322	117	8	price	price	NOUN
app01-5322	117	9	.	.	PUNCT
app01-5322	118	1	an	an	DET
app01-5322	118	2	essay	essay	NOUN
app01-5322	118	3	towards	towards	ADP
app01-5322	118	4	solving	solve	VERB
app01-5322	118	5	a	a	DET
app01-5322	118	6	problem	problem	NOUN
app01-5322	118	7	in	in	ADP
app01-5322	118	8	the	the	DET
app01-5322	118	9	doctrine	doctrine	NOUN
app01-5322	118	10	of	of	ADP
app01-5322	118	11	chances	chance	NOUN
app01-5322	118	12	.	.	PUNCT
app01-5322	119	1	by	by	ADP
app01-5322	119	2	the	the	DET
app01-5322	119	3	late	late	PROPN
app01-5322	119	4	rev	rev	PROPN
app01-5322	119	5	.	.	PUNCT
app01-5322	120	1	mr	mr	PROPN
app01-5322	120	2	.	.	PROPN
app01-5322	120	3	bayes	bayes	PROPN
app01-5322	120	4	,	,	PUNCT
app01-5322	120	5	f.	f.	PROPN
app01-5322	120	6	r.	r.	PROPN
app01-5322	120	7	s.	s.	PROPN
app01-5322	120	8	communicated	communicate	VERB
app01-5322	120	9	by	by	ADP
app01-5322	120	10	mr	mr	PROPN
app01-5322	120	11	.	.	PROPN
app01-5322	120	12	price	price	PROPN
app01-5322	120	13	,	,	PUNCT
app01-5322	120	14	in	in	ADP
app01-5322	120	15	a	a	DET
app01-5322	120	16	letter	letter	NOUN
app01-5322	120	17	to	to	ADP
app01-5322	120	18	john	john	PROPN
app01-5322	120	19	canton	canton	PROPN
app01-5322	120	20	,	,	PUNCT
app01-5322	120	21	a.	a.	PROPN
app01-5322	120	22	m.	m.	PROPN
app01-5322	120	23	f.	f.	PROPN
app01-5322	120	24	r.	r.	PROPN
app01-5322	120	25	s.	s.	PROPN
app01-5322	120	26	philosophical	philosophical	ADJ
app01-5322	120	27	transactions	transaction	NOUN
app01-5322	120	28	(	(	PUNCT
app01-5322	120	29	1683	1683	NUM
app01-5322	120	30	-	-	SYM
app01-5322	120	31	1775	1775	NUM
app01-5322	120	32	)	)	PUNCT
app01-5322	121	1	53:370–418	53:370–418	PROPN
app01-5322	121	2	,	,	PUNCT
app01-5322	121	3	1763	1763	NUM
app01-5322	121	4	.	.	PUNCT
app01-5322	122	1	[	[	X
app01-5322	122	2	5	5	X
app01-5322	122	3	]	]	PUNCT
app01-5322	122	4	j.	j.	PROPN
app01-5322	122	5	b.	b.	PROPN
app01-5322	122	6	nagel	nagel	PROPN
app01-5322	122	7	,	,	PUNCT
app01-5322	122	8	b.	b.	PROPN
app01-5322	122	9	sudret	sudret	PROPN
app01-5322	122	10	.	.	PUNCT
app01-5322	123	1	a	a	DET
app01-5322	123	2	unified	unify	VERB
app01-5322	123	3	framework	framework	NOUN
app01-5322	123	4	for	for	ADP
app01-5322	123	5	multilevel	multilevel	ADJ
app01-5322	123	6	uncertainty	uncertainty	NOUN
app01-5322	123	7	quantification	quantification	NOUN
app01-5322	123	8	in	in	ADP
app01-5322	123	9	bayesian	bayesian	ADJ
app01-5322	123	10	inverse	inverse	NOUN
app01-5322	123	11	problems	problem	NOUN
app01-5322	123	12	.	.	PUNCT
app01-5322	124	1	probabilistic	probabilistic	ADJ
app01-5322	124	2	engineering	engineering	NOUN
app01-5322	124	3	mechanics	mechanic	NOUN
app01-5322	124	4	43:68–84	43:68–84	NOUN
app01-5322	124	5	,	,	PUNCT
app01-5322	124	6	2016	2016	NUM
app01-5322	124	7	.	.	PUNCT
app01-5322	125	1	[	[	X
app01-5322	125	2	6	6	NUM
app01-5322	125	3	]	]	PUNCT
app01-5322	125	4	i.	i.	NOUN
app01-5322	125	5	behmanesh	behmanesh	PROPN
app01-5322	125	6	,	,	PUNCT
app01-5322	125	7	b.	b.	PROPN
app01-5322	125	8	moaveni	moaveni	PROPN
app01-5322	125	9	,	,	PUNCT
app01-5322	125	10	g.	g.	PROPN
app01-5322	125	11	lombaert	lombaert	PROPN
app01-5322	125	12	,	,	PUNCT
app01-5322	125	13	c.	c.	PROPN
app01-5322	125	14	papadimitriou	papadimitriou	NOUN
app01-5322	125	15	.	.	PUNCT
app01-5322	126	1	hierarchical	hierarchical	ADJ
app01-5322	126	2	bayesian	bayesian	NOUN
app01-5322	126	3	model	model	NOUN
app01-5322	126	4	updating	update	VERB
app01-5322	126	5	for	for	ADP
app01-5322	126	6	structural	structural	ADJ
app01-5322	126	7	identification	identification	NOUN
app01-5322	126	8	.	.	PUNCT
app01-5322	127	1	mechanical	mechanical	ADJ
app01-5322	127	2	systems	system	NOUN
app01-5322	127	3	and	and	CCONJ
app01-5322	127	4	signal	signal	NOUN
app01-5322	127	5	processing	processing	NOUN
app01-5322	127	6	64:360–376	64:360–376	PROPN
app01-5322	127	7	,	,	PUNCT
app01-5322	127	8	2015	2015	NUM
app01-5322	127	9	.	.	PUNCT
app01-5322	128	1	[	[	X
app01-5322	128	2	7	7	X
app01-5322	128	3	]	]	X
app01-5322	128	4	d.	d.	PROPN
app01-5322	128	5	draper	draper	PROPN
app01-5322	128	6	,	,	PUNCT
app01-5322	128	7	j.	j.	PROPN
app01-5322	128	8	s.	s.	PROPN
app01-5322	128	9	hodges	hodges	PROPN
app01-5322	128	10	,	,	PUNCT
app01-5322	128	11	c.	c.	PROPN
app01-5322	128	12	l.	l.	PROPN
app01-5322	128	13	mallows	mallows	PROPN
app01-5322	128	14	,	,	PUNCT
app01-5322	128	15	d.	d.	PROPN
app01-5322	128	16	pregibon	pregibon	PROPN
app01-5322	128	17	.	.	PUNCT
app01-5322	128	18	exchangeability	exchangeability	NOUN
app01-5322	128	19	and	and	CCONJ
app01-5322	128	20	data	datum	NOUN
app01-5322	128	21	analysis	analysis	NOUN
app01-5322	128	22	.	.	PUNCT
app01-5322	129	1	journal	journal	NOUN
app01-5322	129	2	of	of	ADP
app01-5322	129	3	the	the	DET
app01-5322	129	4	royal	royal	ADJ
app01-5322	129	5	statistical	statistical	ADJ
app01-5322	129	6	society	society	NOUN
app01-5322	129	7	series	series	PROPN
app01-5322	129	8	a	a	PROPN
app01-5322	129	9	(	(	PUNCT
app01-5322	129	10	statistics	statistic	NOUN
app01-5322	129	11	in	in	ADP
app01-5322	129	12	society	society	NOUN
app01-5322	129	13	)	)	PUNCT
app01-5322	130	1	pp	pp	ADP
app01-5322	130	2	.	.	PUNCT
app01-5322	131	1	9–37	9–37	NOUN
app01-5322	131	2	,	,	PUNCT
app01-5322	131	3	1993	1993	NUM
app01-5322	131	4	.	.	PUNCT
app01-5322	132	1	[	[	X
app01-5322	132	2	8	8	NUM
app01-5322	132	3	]	]	X
app01-5322	132	4	w.	w.	PROPN
app01-5322	132	5	schwarz	schwarz	PROPN
app01-5322	132	6	,	,	PUNCT
app01-5322	132	7	s.	s.	PROPN
app01-5322	132	8	schwub	schwub	PROPN
app01-5322	132	9	,	,	PUNCT
app01-5322	132	10	k.	k.	PROPN
app01-5322	132	11	quering	quering	PROPN
app01-5322	132	12	,	,	PUNCT
app01-5322	132	13	et	et	PROPN
app01-5322	132	14	al	al	PROPN
app01-5322	132	15	.	.	PUNCT
app01-5322	132	16	life	life	NOUN
app01-5322	132	17	prediction	prediction	NOUN
app01-5322	132	18	of	of	ADP
app01-5322	132	19	thermally	thermally	ADV
app01-5322	132	20	highly	highly	ADV
app01-5322	132	21	loaded	load	VERB
app01-5322	132	22	components	component	NOUN
app01-5322	132	23	:	:	PUNCT
app01-5322	132	24	modelling	model	VERB
app01-5322	132	25	the	the	DET
app01-5322	132	26	damage	damage	NOUN
app01-5322	132	27	process	process	NOUN
app01-5322	132	28	of	of	ADP
app01-5322	132	29	a	a	DET
app01-5322	132	30	rocket	rocket	NOUN
app01-5322	132	31	combustion	combustion	NOUN
app01-5322	132	32	chamber	chamber	NOUN
app01-5322	132	33	hot	hot	ADJ
app01-5322	132	34	wall	wall	NOUN
app01-5322	132	35	.	.	PUNCT
app01-5322	133	1	ceas	ceas	PROPN
app01-5322	133	2	space	space	PROPN
app01-5322	133	3	journal	journal	PROPN
app01-5322	133	4	1(1	1(1	NUM
app01-5322	133	5	-	-	SYM
app01-5322	133	6	4):83	4):83	NUM
app01-5322	133	7	,	,	PUNCT
app01-5322	133	8	2011	2011	NUM
app01-5322	133	9	.	.	PUNCT
app01-5322	134	1	[	[	X
app01-5322	134	2	9	9	NUM
app01-5322	134	3	]	]	X
app01-5322	134	4	j.	j.	PROPN
app01-5322	134	5	c.	c.	PROPN
app01-5322	134	6	spall	spall	PROPN
app01-5322	134	7	.	.	PUNCT
app01-5322	135	1	estimation	estimation	NOUN
app01-5322	135	2	via	via	ADP
app01-5322	135	3	markov	markov	PROPN
app01-5322	135	4	chain	chain	NOUN
app01-5322	135	5	monte	monte	PROPN
app01-5322	135	6	carlo	carlo	PROPN
app01-5322	135	7	.	.	PUNCT
app01-5322	136	1	ieee	ieee	PROPN
app01-5322	136	2	control	control	PROPN
app01-5322	136	3	systems	systems	PROPN
app01-5322	136	4	magazine	magazine	PROPN
app01-5322	136	5	23(2):34–45	23(2):34–45	NUM
app01-5322	136	6	,	,	PUNCT
app01-5322	136	7	2003	2003	NUM
app01-5322	136	8	.	.	PUNCT
app01-5322	137	1	[	[	X
app01-5322	137	2	10	10	NUM
app01-5322	137	3	]	]	X
app01-5322	137	4	y.	y.	PROPN
app01-5322	137	5	m.	m.	PROPN
app01-5322	137	6	marzouk	marzouk	PROPN
app01-5322	137	7	,	,	PUNCT
app01-5322	137	8	h.	h.	PROPN
app01-5322	137	9	n.	n.	PROPN
app01-5322	137	10	najm	najm	PROPN
app01-5322	137	11	,	,	PUNCT
app01-5322	137	12	l.	l.	PROPN
app01-5322	137	13	a.	a.	PROPN
app01-5322	137	14	rahn	rahn	PROPN
app01-5322	137	15	.	.	PUNCT
app01-5322	138	1	stochastic	stochastic	ADJ
app01-5322	138	2	spectral	spectral	ADJ
app01-5322	138	3	methods	method	NOUN
app01-5322	138	4	for	for	ADP
app01-5322	138	5	efficient	efficient	ADJ
app01-5322	138	6	bayesian	bayesian	NOUN
app01-5322	138	7	solution	solution	NOUN
app01-5322	138	8	of	of	ADP
app01-5322	138	9	inverse	inverse	NOUN
app01-5322	138	10	problems	problem	NOUN
app01-5322	138	11	.	.	PUNCT
app01-5322	139	1	journal	journal	NOUN
app01-5322	139	2	of	of	ADP
app01-5322	139	3	computational	computational	ADJ
app01-5322	139	4	physics	physic	NOUN
app01-5322	139	5	224(2):560–586	224(2):560–586	NUM
app01-5322	139	6	,	,	PUNCT
app01-5322	139	7	2007	2007	NUM
app01-5322	139	8	.	.	PUNCT
app01-5322	140	1	[	[	X
app01-5322	140	2	11	11	NUM
app01-5322	140	3	]	]	X
app01-5322	140	4	n.	n.	NOUN
app01-5322	140	5	wiener	wiener	NOUN
app01-5322	140	6	.	.	PUNCT
app01-5322	141	1	the	the	DET
app01-5322	141	2	homogeneous	homogeneous	ADJ
app01-5322	141	3	chaos	chaos	NOUN
app01-5322	141	4	.	.	PUNCT
app01-5322	142	1	american	american	PROPN
app01-5322	142	2	journal	journal	PROPN
app01-5322	142	3	of	of	ADP
app01-5322	142	4	mathematics	mathematics	PROPN
app01-5322	142	5	60(4):897–936	60(4):897–936	PROPN
app01-5322	142	6	,	,	PUNCT
app01-5322	142	7	1938	1938	NUM
app01-5322	142	8	.	.	PUNCT
app01-5322	143	1	[	[	X
app01-5322	143	2	12	12	NUM
app01-5322	143	3	]	]	X
app01-5322	143	4	d.	d.	PROPN
app01-5322	143	5	xiu	xiu	PROPN
app01-5322	143	6	,	,	PUNCT
app01-5322	143	7	g.	g.	PROPN
app01-5322	143	8	e.	e.	PROPN
app01-5322	143	9	karniadakis	karniadakis	PROPN
app01-5322	143	10	.	.	PUNCT
app01-5322	144	1	the	the	DET
app01-5322	144	2	wiener	wiener	NOUN
app01-5322	144	3	–	–	PUNCT
app01-5322	144	4	askey	askey	ADJ
app01-5322	144	5	polynomial	polynomial	ADJ
app01-5322	144	6	chaos	chaos	NOUN
app01-5322	144	7	for	for	ADP
app01-5322	144	8	stochastic	stochastic	ADJ
app01-5322	144	9	differential	differential	ADJ
app01-5322	144	10	equations	equation	NOUN
app01-5322	144	11	.	.	PUNCT
app01-5322	145	1	siam	siam	PROPN
app01-5322	145	2	journal	journal	PROPN
app01-5322	145	3	on	on	ADP
app01-5322	145	4	scientific	scientific	ADJ
app01-5322	145	5	computing	computing	NOUN
app01-5322	145	6	24(2):619–644	24(2):619–644	NUM
app01-5322	145	7	,	,	PUNCT
app01-5322	145	8	2002	2002	NUM
app01-5322	145	9	.	.	PUNCT
app01-5322	146	1	[	[	X
app01-5322	146	2	13	13	NUM
app01-5322	146	3	]	]	X
app01-5322	146	4	g.	g.	PROPN
app01-5322	146	5	blatman	blatman	PROPN
app01-5322	146	6	,	,	PUNCT
app01-5322	146	7	b.	b.	PROPN
app01-5322	146	8	sudret	sudret	PROPN
app01-5322	146	9	.	.	PUNCT
app01-5322	147	1	an	an	DET
app01-5322	147	2	adaptive	adaptive	ADJ
app01-5322	147	3	algorithm	algorithm	NOUN
app01-5322	147	4	to	to	PART
app01-5322	147	5	build	build	VERB
app01-5322	147	6	up	up	ADP
app01-5322	147	7	sparse	sparse	ADJ
app01-5322	147	8	polynomial	polynomial	ADJ
app01-5322	147	9	chaos	chaos	NOUN
app01-5322	147	10	expansions	expansion	NOUN
app01-5322	147	11	for	for	ADP
app01-5322	147	12	stochastic	stochastic	ADJ
app01-5322	147	13	finite	finite	ADJ
app01-5322	147	14	element	element	NOUN
app01-5322	147	15	analysis	analysis	NOUN
app01-5322	147	16	.	.	PUNCT
app01-5322	148	1	probabilistic	probabilistic	ADJ
app01-5322	148	2	engineering	engineering	NOUN
app01-5322	148	3	mechanics	mechanic	NOUN
app01-5322	148	4	25(2):183–197	25(2):183–197	PROPN
app01-5322	148	5	,	,	PUNCT
app01-5322	148	6	2010	2010	NUM
app01-5322	148	7	.	.	PUNCT
app01-5322	149	1	[	[	X
app01-5322	149	2	14	14	NUM
app01-5322	149	3	]	]	X
app01-5322	149	4	r.	r.	PROPN
app01-5322	149	5	l.	l.	PROPN
app01-5322	149	6	iman	iman	PROPN
app01-5322	149	7	,	,	PUNCT
app01-5322	149	8	w.	w.	PROPN
app01-5322	149	9	conover	conover	PROPN
app01-5322	149	10	.	.	PUNCT
app01-5322	150	1	small	small	ADJ
app01-5322	150	2	sample	sample	NOUN
app01-5322	150	3	sensitivity	sensitivity	NOUN
app01-5322	150	4	analysis	analysis	NOUN
app01-5322	150	5	techniques	technique	NOUN
app01-5322	150	6	for	for	ADP
app01-5322	150	7	computer	computer	NOUN
app01-5322	150	8	models	model	NOUN
app01-5322	150	9	.	.	PUNCT
app01-5322	151	1	with	with	ADP
app01-5322	151	2	an	an	DET
app01-5322	151	3	application	application	NOUN
app01-5322	151	4	to	to	PART
app01-5322	151	5	risk	risk	VERB
app01-5322	151	6	assessment	assessment	NOUN
app01-5322	151	7	.	.	PUNCT
app01-5322	152	1	communications	communication	NOUN
app01-5322	152	2	in	in	ADP
app01-5322	152	3	statistics	statistic	NOUN
app01-5322	152	4	-	-	PUNCT
app01-5322	152	5	theory	theory	NOUN
app01-5322	152	6	and	and	CCONJ
app01-5322	152	7	methods	method	NOUN
app01-5322	152	8	9(17):1749–1842	9(17):1749–1842	NUM
app01-5322	152	9	,	,	PUNCT
app01-5322	152	10	1980	1980	NUM
app01-5322	152	11	.	.	PUNCT
app01-5322	153	1	45	45	NUM
app01-5322	153	2	acta	acta	PROPN
app01-5322	153	3	polytechnica	polytechnica	PROPN
app01-5322	153	4	ctu	ctu	PROPN
app01-5322	153	5	proceedings	proceeding	NOUN
app01-5322	153	6	15:41–45	15:41–45	NUM
app01-5322	153	7	,	,	PUNCT
app01-5322	153	8	2018	2018	NUM
app01-5322	153	9	1	1	NUM
app01-5322	153	10	introduction	introduction	NOUN
app01-5322	153	11	2	2	NUM
app01-5322	153	12	stochastic	stochastic	NOUN
app01-5322	153	13	identification	identification	NOUN
app01-5322	153	14	method	method	NOUN
app01-5322	153	15	3	3	NUM
app01-5322	153	16	numerical	numerical	ADJ
app01-5322	153	17	model	model	NOUN
app01-5322	153	18	4	4	NUM
app01-5322	153	19	model	model	NOUN
app01-5322	153	20	calibration	calibration	NOUN
app01-5322	153	21	5	5	NUM
app01-5322	153	22	conclusions	conclusion	NOUN
app01-5322	153	23	acknowledgements	acknowledgement	NOUN
app01-5322	153	24	references	reference	NOUN