bibtype C - Conference Paper (international conference)
ARLID 0572530
utime 20240402214021.8
mtime 20230604235959.9
title (primary) (eng) Estimation of Expected Shortfall in Linear Model
specification
page_count 13 s.
media_type E
serial
ARLID cav_un_epca*0574052
title ICORS 2023 = Book of abstracts
page_num 29-30
publisher
place Toulouse
name Toulouse School of Economics
year 2023
keyword Linear model
keyword Expected shortfall
keyword Regression quantile
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
country CZ
garant A
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2023/SI/jureckova-0572530.pdf
cas_special
project
project_id GA22-03636S
agency GA ČR
country CZ
ARLID cav_un_auth*0435411
abstract (eng) The possibly incurred loss of a portfolio can be linearly affected by unobservable covariates, while we observe only the resulting response. We propose the method of estimating the true loss with the aid\nof regression quantiles.\n
action
ARLID cav_un_auth*0450849
name International Conference on Robust Statistics 2023
dates 20230523
mrcbC20-s 20230526
place Toulouse
country FR
RIV BB
FORD0 10000
FORD1 10100
FORD2 10103
reportyear 2024
num_of_auth 1
presentation_type PR
inst_support RVO:67985556
permalink https://hdl.handle.net/11104/0344415
confidential S
arlyear 2023
mrcbU14 SCOPUS
mrcbU24 PUBMED
mrcbU34 WOS
mrcbU63 cav_un_epca*0574052 ICORS 2023 = Book of abstracts Toulouse School of Economics 2023 Toulouse 29 30