bibtype A - Abstract
ARLID 0491756
utime 20240103220256.4
mtime 20180726235959.9
title (primary) (eng) Nonparametric tests of symmetry for non-elliptical distributions
specification
page_count 1 s.
serial
ARLID cav_un_epca*0491757
title ICORS 2018. Book of Abstracts
page_num 122-122
publisher
place Leuven
year 2018
keyword Robust estimation
keyword Multivariate data
keyword Location and scatter
keyword Shape estimator
keyword Symmetry test
author (primary)
ARLID cav_un_auth*0263018
name1 Kalina
name2 Jan
full_dept (cz) Oddělení strojového učení
full_dept (eng) Department of Machine Learning
institution UIVT-O
full_dept Department of Machine Learning
fullinstit Ústav informatiky AV ČR, v. v. i.
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
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url https://wis.kuleuven.be/events/icors18/BookOfAbstracts
cas_special
abstract (eng) The basis for our work is a theoretical result explaining how various multivariate location and scatter estimators capture the symmetry of the underlying distribution. Various forms of symmetry considered in the paper include central symmetry, marginal symmetry, symmetry around an affine subspace, and symmetry around a coordinate axis. Very general sufficient conditions are formulated, which ensure various symmetry properties of functionals corresponding to location or scatter. There is a variety of robust multivariate estimators, which fulfil these sufficient conditions.
action
ARLID cav_un_auth*0362669
name ICORS 2018. International Conference on Robust Statistics
dates 20180702
mrcbC20-s 20180706
place Leuven
country BE
RIV BA
FORD0 10000
FORD1 10100
FORD2 10103
reportyear 2019
mrcbC52 4 O 4o 20231122143313.9
inst_support RVO:67985807
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0285396
confidential S
arlyear 2018
mrcbTft \nSoubory v repozitáři: a0491756.pdf
mrcbU14 SCOPUS
mrcbU24 PUBMED
mrcbU34 WOS
mrcbU63 cav_un_epca*0491757 ICORS 2018. Book of Abstracts 122 122 Leuven 2018