| bibtype |
J -
Journal Article
|
| ARLID |
0410591 |
| utime |
20240103182225.0 |
| mtime |
20060210235959.9 |
| title
(primary) (eng) |
Optimization of Barron density estimates |
| specification |
|
| serial |
| ARLID |
cav_un_epca*0256723 |
| ISSN |
0018-9448 |
| title
|
IEEE Transactions on Information Theory |
| volume_id |
47 |
| volume |
5 (2001) |
| page_num |
1867-1883 |
| publisher |
| name |
Institute of Electrical and Electronics Engineers |
|
|
| keyword |
Barron estimator |
| keyword |
chi-square criterion |
| keyword |
density estimation |
| author
(primary) |
| ARLID |
cav_un_auth*0101218 |
| name1 |
Vajda |
| name2 |
Igor |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0211827 |
| name1 |
van der Meulen |
| name2 |
E. C. |
| country |
BE |
|
| COSATI |
09J |
| cas_special |
| project |
| project_id |
579 |
| agency |
Copernicus |
| country |
XE |
|
| project |
| project_id |
GA102/99/1137 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0004432 |
|
| research |
AV0Z1075907 |
| abstract
(eng) |
We investigate a nonparametric estimator of probability density introduced by A.R.Barron. Earlier papers established its consistency in a strong sense,e.g.,in the expected information divergence or expected chi-square divergence. This paper pays main attention to the expected chi-square divergence criterion. We give a new motivation of the Barron estimators by showing that a maximum-likelihood estimator (MLE) of a density from a family important in practice is consistent in expected information divergence. |
| RIV |
BD |
| department |
SI |
| permalink |
http://hdl.handle.net/11104/0130680 |
| ID_orig |
UTIA-B 20010060 |
| arlyear |
2001 |
| mrcbU63 |
cav_un_epca*0256723 IEEE Transactions on Information Theory 0018-9448 1557-9654 Roč. 47 č. 5 2001 1867 1883 Institute of Electrical and Electronics Engineers |
|