0310659 20240103190300.120090325235959.9 000258589700006 10.1080/00949650701282507 Assessing the performance of variational methods for mixed logistic regression models 15 s. cav_un_epca*02540600094-9655Journal of Statistical Computation and Simulation788 (2008)765-779Taylor & Francis Studium chování variačních metod pro směsové modely logistické regrese Mixed models Logistic regression Variational methods Lower bound approximation cav_un_auth*0241186 Rijmen F. BE cav_un_auth*0101228 Vomlel Jiří UTIA-B Department of Decision Making Theory Ústav teorie informace a automatizace AV ČR, v. v. i. 1M0572 GA MŠk cav_un_auth*0001814 2C06019 GA MŠk CZ cav_un_auth*0216518 CEZ:AV0Z10750506 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]. 2009 BB http://hdl.handle.net/11104/0162453 0.533 0.046 >10.0 0.00233 0.319 635 87 23 0.371 20.15 0.4 2008 000258589700006 WOS cav_un_epca*0254060 Journal of Statistical Computation and Simulation 0094-9655 1563-5163 Roč. 78 č. 8 2008 765 779 Taylor & Francis