Assessing the performance of variational methods for mixed logistic regression models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F08%3A00310659" target="_blank" >RIV/67985556:_____/08:00310659 - isvavai.cz</a>
Alternative codes found
RIV/61384399:31160/08:00030623
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Assessing the performance of variational methods for mixed logistic regression models
Original language description
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].
Czech name
Studium chování variačních metod pro směsové modely logistické regrese
Czech description
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].
Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Statistical Computation and Simulation
ISSN
0094-9655
e-ISSN
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Volume of the periodical
78
Issue of the periodical within the volume
8
Country of publishing house
GB - UNITED KINGDOM
Number of pages
15
Pages from-to
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UT code for WoS article
000258589700006
EID of the result in the Scopus database
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