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The EM Algorithm and Related Statistical Models
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Product Details
Author:
Michiko Watanabe, Kazunori Yamaguchi
Format:
Paperback
Pages:
216
Publisher:
CRC Press (October 17, 2019)
Language:
English
ISBN-13:
9780367394936
Weight:
16oz
Dimensions:
6" x 9"
File:
TAYLORFRANCIS-TayFran_260403050835162-20260403.xml
Folder:
TAYLORFRANCIS
List Price:
$94.99
Series:
Statistics: A Series of Textbooks and Monographs
As low as:
$90.24
Publisher Identifier:
P-CRC
Discount Code:
H
Country of Origin:
United States
Pub Discount:
30
Case Pack:
1
Imprint:
CRC Press
Overview
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.
