Exploring the application and formulation of the EM algorithm, The EM Algorithm and Related Statistical Models offers a valuable method for constructing statistical models when only incomplete information is available, and proposes specific estimation algorithms for solutions to incomplete data problems. The text covers current topics including statistical models with latent variables, as well as neural network models, and Markov Chain Monte Carlo methods. It describes software resources valuable for the processing of the EM algorithm with incomplete data and for general analysis of latent structure models of categorical data, and studies accelerated versions of the EM algorithm.
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Format PDF ● Pagini 250 ● ISBN 9780203913055 ● Editor Michiko Watanabe & Kazunori Yamaguchi ● Editura CRC Press ● Publicat 2003 ● Descărcabil 6 ori ● Valută EUR ● ID 2300376 ● Protecție împotriva copiilor Adobe DRM
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