The EM Algorithm and Related Statistical Models (Statistics, a Series of Textbooks and Monographs)

The EM Algorithm and Related Statistical Models (Statistics, a Series of Textbooks and Monographs)

Editorial Reviews
Book Description
Exploring the application and formulation of the EM algorithm, The EM Algorithm and Related Statistical Models offers a valuable method to construct 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.

Book Info
Text offers a method to reconstruct statistical models when only incomplete information is available. Proposes specific estimation algorithms for solutions to incomplete data problems. For postgraduate students, statistical researchers, and practitioners. Includes index and references.

The EM Algorithm and Related Statistical Models (Statistics, a Series of Textbooks and Monographs),Michiko Watanabe,Kazunori Yamaguchi,CRC,0824747011,Applied,Estimation theory,Expectation-maximization algor,Expectation-maximization algorithms,Mathematics,Missing observations (Statisti,Missing observations (Statistics),Probability & Statistics - General,Science/Mathematics,Mathematics / Statistics

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