bibtype G - Proceedings (international conference)
ARLID 0572523
utime 20240527131054.6
mtime 20230602235959.9
title (primary) (eng) ICORS 2023 = Book of abstracts
publisher
place Toulouse
name Toulouse School of Economics
pub_time 2023
specification
page_count 165 s.
media_type E
keyword Robust statistical methods
author (primary)
ARLID cav_un_auth*0368969
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
full_dept Department of Stochastic Informatics
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url https://icors2023.sciencesconf.org/
source
url http://library.utia.cas.cz/separaty/2023/SI/jureckova-0572523.pdf
cas_special
project
project_id GA22-03636S
agency GA ČR
country CZ
ARLID cav_un_auth*0435411
abstract (eng) This conference will gather researchers, scholars, and practitioners from various corners of the globe, presenting over 80 contributions on the exciting field of robust statistics. Within the pages of this booklet, you will find a compilation of all the submitted and accepted abstracts for ICORS2023. This collection represents the diverse range of ideas and discoveries that will be shared during the conference, offering a glimpse into the cutting-edge research being conducted in the field of robust statistics.
action
ARLID cav_un_auth*0450849
name International Conference on Robust Statistics 2023
dates 20230523
mrcbC20-s 20230526
place Toulouse
country FR
RIV BA
FORD0 10000
FORD1 10100
FORD2 10103
reportyear 2024
num_of_auth 44
mrcbC55 UTIA-B BA
inst_support RVO:67985556
permalink https://hdl.handle.net/11104/0344414
confidential S
arlyear 2023
mrcbU10 2023
mrcbU10 Toulouse Toulouse School of Economics
mrcbU14 SCOPUS
mrcbU24 PUBMED
mrcbU34 WOS