bibtype J - Journal Article
ARLID 0532048
utime 20240103224404.7
mtime 20200908235959.9
SCOPUS 85087049309
WOS 000544260100004
DOI 10.21136/AM.2020.0295-19
title (primary) (eng) Empirical regression quantile process
specification
page_count 13 s.
media_type P
serial
ARLID cav_un_epca*0290654
ISSN 0862-7940
title Applications of Mathematics
volume_id 65
volume 3 (2020)
page_num 257-269
publisher
name Springer
keyword averaged regression quantile
keyword R-estimator
keyword functionals of the quantile process
author (primary)
ARLID cav_un_auth*0368969
share 33,35
name1 Jurečková
name2 Jana
institution UTIA-B
full_dept (cz) Stochastická informatika
full_dept (eng) Department of Stochastic Informatics
department (cz) SI
department (eng) SI
country CZ
garant S
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0019770
name1 Picek
name2 J.
country CZ
author
ARLID cav_un_auth*0293529
name1 Schindler
name2 M.
country CZ
source
url http://library.utia.cas.cz/separaty/2020/SI/jureckova-0532048.pdf
source
url https://link.springer.com/article/10.21136/AM.2020.0295-19
cas_special
project
ARLID cav_un_auth*0370462
project_id GA18-01137S
agency GA ČR
country CZ
abstract (eng) We address the problem of estimating quantile-based statistical functionals, when the measured or controlled entities depend on exogenous variables which are not under\nour control. As a suitable tool we propose the empirical process of the average regression quantiles. It partially masks the effect of covariates and has other properties convenient\nfor applications, e.g. for coherent risk measures of various types in the situations with covariates.
result_subspec WOS
RIV BA
FORD0 10000
FORD1 10100
FORD2 10103
reportyear 2021
num_of_auth 3
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0310669
cooperation
ARLID cav_un_auth*0295064
name Technická univerzita v Liberci
institution TUL
confidential S
mrcbC86 3+4 Article|Proceedings Paper Mathematics Applied
mrcbC91 A
mrcbT16-e MATHEMATICSAPPLIED
mrcbT16-i 0.00049
mrcbT16-j 0.283
mrcbT16-s 0.237
mrcbT16-B 3.216
mrcbT16-D Q4
mrcbT16-E Q4
arlyear 2020
mrcbU14 85087049309 SCOPUS
mrcbU34 000544260100004 WOS
mrcbU63 cav_un_epca*0290654 Applications of Mathematics 0862-7940 1572-9109 Roč. 65 č. 3 2020 257 269 Springer