The EM Algorithm and Related Statistical Models (Paperback)

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.

General

Imprint:	Crc Press
Country of origin:	United Kingdom
Series:	Statistics: A Series of Textbooks and Monographs
Release date:	October 2019
First published:	2004
Editors:	Michiko Watanabe • Kazunori Yamaguchi
Dimensions:	229 x 152mm (L x W)
Format:	Paperback
Pages:	250
ISBN-13:	978-0-367-39493-6
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Applied mathematics > General
LSN:	0-367-39493-6
Barcode:	9780367394936

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