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 |
|
source |
|
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 |
|