bibtype |
J -
Journal Article
|
ARLID |
0310659 |
utime |
20240103190300.1 |
mtime |
20090325235959.9 |
WOS |
000258589700006 |
DOI |
10.1080/00949650701282507 |
title
(primary) (eng) |
Assessing the performance of variational methods for mixed logistic regression models |
specification |
|
serial |
ARLID |
cav_un_epca*0254060 |
ISSN |
0094-9655 |
title
|
Journal of Statistical Computation and Simulation |
volume_id |
78 |
volume |
8 (2008) |
page_num |
765-779 |
publisher |
|
|
title
(cze) |
Studium chování variačních metod pro směsové modely logistické regrese |
keyword |
Mixed models |
keyword |
Logistic regression |
keyword |
Variational methods |
keyword |
Lower bound approximation |
author
(primary) |
ARLID |
cav_un_auth*0241186 |
name1 |
Rijmen |
name2 |
F. |
country |
BE |
|
author
|
ARLID |
cav_un_auth*0101228 |
name1 |
Vomlel |
name2 |
Jiří |
institution |
UTIA-B |
full_dept |
Department of Decision Making Theory |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
cas_special |
project |
project_id |
1M0572 |
agency |
GA MŠk |
ARLID |
cav_un_auth*0001814 |
|
project |
project_id |
2C06019 |
agency |
GA MŠk |
country |
CZ |
ARLID |
cav_un_auth*0216518 |
|
research |
CEZ:AV0Z10750506 |
abstract
(eng) |
We present a variational estimation method for the mixed logistic regression model. The method is based on a lower bound approximation of the logistic function [Jaakkola, J.S. and Jordan, M.I., 2000]. |
abstract
(cze) |
V práci je navžena variační metoda pro směsové modely logistické regrese. Metoda je založena na aproximaci logistické funkce pomocí její gaussovské dolní meze [Jaakkola, J.S. a Jordan, M.I., 2000]. |
reportyear |
2009 |
RIV |
BB |
permalink |
http://hdl.handle.net/11104/0162453 |
mrcbT16-f |
0.533 |
mrcbT16-g |
0.046 |
mrcbT16-h |
>10.0 |
mrcbT16-i |
0.00233 |
mrcbT16-j |
0.319 |
mrcbT16-k |
635 |
mrcbT16-l |
87 |
mrcbT16-q |
23 |
mrcbT16-s |
0.371 |
mrcbT16-y |
20.15 |
mrcbT16-x |
0.4 |
arlyear |
2008 |
mrcbU34 |
000258589700006 WOS |
mrcbU63 |
cav_un_epca*0254060 Journal of Statistical Computation and Simulation 0094-9655 1563-5163 Roč. 78 č. 8 2008 765 779 Taylor & Francis |
|