| bibtype |
J -
Journal Article
|
| ARLID |
0564724 |
| utime |
20230321162101.3 |
| mtime |
20221129235959.9 |
| SCOPUS |
85131134209 |
| WOS |
000804839000001 |
| DOI |
10.1111/sjos.12603 |
| title
(primary) (eng) |
Multivariate quantiles with both overall and directional probability interpretation |
| specification |
| page_count |
19 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0255001 |
| ISSN |
0303-6898 |
| title
|
Scandinavian Journal of Statistics |
| volume_id |
49 |
| volume |
4 (2022) |
| page_num |
1586-1604 |
|
| keyword |
directional quantile |
| keyword |
kernel estimation |
| keyword |
multivariate quantile |
| keyword |
nonconvex quantile |
| keyword |
quantile regression |
| keyword |
reference region |
| keyword |
tolerance region |
| author
(primary) |
| ARLID |
cav_un_auth*0213091 |
| name1 |
Hlubinka |
| name2 |
D. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0364411 |
| name1 |
Kotík |
| name2 |
L. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0266474 |
| name1 |
Šiman |
| name2 |
Miroslav |
| institution |
UTIA-B |
| full_dept (cz) |
Stochastická informatika |
| full_dept |
Department of Stochastic Informatics |
| department (cz) |
SI |
| department |
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 |
GA17-07384S |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0345381 |
|
| project |
| project_id |
GA21-05325S |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0409039 |
|
| abstract
(eng) |
The article introduces multivariate quantiles (or reference regions) that have both overall and directional probability interpretation and need not be necessarily convex. They are defined by means of univariate conditional quantiles along the rays starting at a suitable central point. Their basic properties are investigated, their sample estimators and regression extensions are proposed, and their use is illustrated with both simulated and real data. |
| result_subspec |
WOS |
| RIV |
BB |
| FORD0 |
10000 |
| FORD1 |
10100 |
| FORD2 |
10103 |
| reportyear |
2023 |
| inst_support |
RVO:67985556 |
| permalink |
https://hdl.handle.net/11104/0336421 |
| cooperation |
| ARLID |
cav_un_auth*0296001 |
| name |
Univerzita Karlova v Praze, Matematicko-fyzikální fakulta |
| institution |
MFF UK |
| country |
CZ |
|
| cooperation |
| ARLID |
cav_un_auth*0352445 |
| name |
National Radiation Protection Institute |
| institution |
SÚRO |
| country |
CZ |
|
| confidential |
S |
| mrcbC86 |
n.a. Article Statistics Probability |
| mrcbC91 |
C |
| mrcbT16-e |
STATISTICSPROBABILITY |
| mrcbT16-j |
0.941 |
| mrcbT16-s |
0.769 |
| mrcbT16-D |
Q2 |
| mrcbT16-E |
Q2 |
| arlyear |
2022 |
| mrcbU14 |
85131134209 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000804839000001 WOS |
| mrcbU63 |
cav_un_epca*0255001 Scandinavian Journal of Statistics 0303-6898 1467-9469 Roč. 49 č. 4 2022 1586 1604 |
|