| bibtype |
J -
Journal Article
|
| ARLID |
0410829 |
| utime |
20240103182242.2 |
| mtime |
20060210235959.9 |
| title
(primary) (eng) |
Divergence-type errors of smooth Barron-type density estimators |
| specification |
|
| serial |
| title
|
Test |
| volume_id |
11 |
| volume |
1 (2002) |
| page_num |
191-217 |
|
| keyword |
Barron-type density estimators |
| keyword |
consistency in expected information divergence |
| keyword |
consistency in expected chi-squared-divergence |
| author
(primary) |
| ARLID |
cav_un_auth*0212817 |
| name1 |
Beirlant |
| name2 |
J. |
| country |
BE |
|
| author
|
| ARLID |
cav_un_auth*0212436 |
| name1 |
Berlinet |
| name2 |
A. |
| country |
FR |
|
| author
|
| ARLID |
cav_un_auth*0212915 |
| name1 |
Biau |
| name2 |
G. |
| country |
FR |
|
| author
|
| ARLID |
cav_un_auth*0101218 |
| name1 |
Vajda |
| name2 |
Igor |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| COSATI |
12B |
| cas_special |
| project |
| project_id |
GA102/99/1137 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0004432 |
|
| research |
CEZ:AV0Z1075907 |
| abstract
(eng) |
Barron-type estimators are histogram-based distribution estimators that have been proved to have good consistency properties according to several information theoretic criteria. However they are not continuous. In this paper, we examine a new type estimators with the frequency polygon. We prove the consistency of these estimators in expected information divergence and expected chi-squared-divergence. For one of them we evaluate the rate of convergence in expected chi-squared-divergence. |
| RIV |
BB |
| department |
SI |
| permalink |
http://hdl.handle.net/11104/0130916 |
| ID_orig |
UTIA-B 20020043 |
| arlyear |
2002 |
| mrcbU63 |
Test Roč. 11 č. 1 2002 191 217 |
|