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 |
|
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 |
|