0310659 - ÚTIA 2009 RIV GB eng J - Journal Article
Rijmen, F. - Vomlel, Jiří
Assessing the performance of variational methods for mixed logistic regression models.
[Studium chování variačních metod pro směsové modely logistické regrese.]
Journal of Statistical Computation and Simulation. Roč. 78, č. 8 (2008), s. 765-779. ISSN 0094-9655. E-ISSN 1563-5163
R&D Projects: GA MŠMT 1M0572
Grant - others:GA MŠk(CZ) 2C06019
Institutional research plan: CEZ:AV0Z10750506
Keywords : Mixed models * Logistic regression * Variational methods * Lower bound approximation
Subject RIV: BB - Applied Statistics, Operational Research
Impact factor: 0.353, year: 2008 ; AIS: 0.319, rok: 2008
DOI: https://doi.org/10.1080/00949650701282507

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].

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].
Permanent Link: http://hdl.handle.net/11104/0162453