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The EM Algorithm and Related Statistical Models

The EM Algorithm and Related Statistical Models Computer Science

The EM Algorithm and Related Statistical Models

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Description
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.
Product details
Edition:
illustrated
Number of Pages:
216
Release Date:
2003-10-01
Publication Date:
2003-10-15
Publisher:
CRC Press
Languages:
Original: English
ISBN10:
0824747011
ISBN13:
9780824747015
GPSR Manufacturer Reference:
Weight:
471 g
Height:
157 cm
Width:
235 cm
Thickness:
16 cm
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