The EM Algorithm and Related Statistical Models

Series:
Statistics: A Series of Textbooks and Monographs
Published:
October 15, 2003 by CRC Press - 250 Pages
Editor(s):
Michiko Watanabe, Toyo University, Japan; Kazunori Yamaguchi, University of Tokyo, Japan
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$104.95
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ISBN 9780824747015
Cat# DK2898
 

Features

  • Explores the application and formulation of the EM algorithm
  • Offers a valuable method to construct statistical models when only incomplete information is available
  • Describes software resources valuable for the processing of the EM algorithm

    • Summary

    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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