bibtype J - Journal Article
ARLID 0376414
utime 20240103200824.9
mtime 20120511235959.9
WOS 000299330000003
DOI 10.1007/s00180-011-0231-y
title (primary) (eng) Computing multiple-output regression quantile regions from projection quantiles
specification
page_count 21 s.
serial
ARLID cav_un_epca*0252572
ISSN 0943-4062
title Computational Statistics
volume_id 27
volume 1 (2012)
page_num 29-49
publisher
name Springer
keyword directional quantile
keyword halfspace depth
keyword multiple-output regression
keyword parametric programming
keyword quantile regression
author (primary)
ARLID cav_un_auth*0274302
name1 Paindaveine
name2 D.
country BE
author
ARLID cav_un_auth*0266474
name1 Šiman
name2 Miroslav
full_dept (cz) Stochastická informatika
full_dept Department of Stochastic Informatics
department (cz) SI
department SI
institution UTIA-B
full_dept Department of Stochastic Informatics
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2012/SI/siman-0376414.pdf
cas_special
project
project_id 1M06047
agency GA MŠk
country CZ
ARLID cav_un_auth*0217941
research CEZ:AV0Z10750506
abstract (eng) The present paper provides a solution to the problem of finding regression quantile regions that is based on the concept of projection regression quantiles. We describe in detail the algorithm solving the parametric programming problem involved, and illustrate the resulting procedure on simulated data.
reportyear 2013
RIV BA
permalink http://hdl.handle.net/11104/0208820
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mrcbU34 000299330000003 WOS
mrcbU63 cav_un_epca*0252572 Computational Statistics 0943-4062 1613-9658 Roč. 27 č. 1 2012 29 49 Springer