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The EM Algorithm and Related Statistical Models - Statistics: A Series of Textbooks and Monographs 1st edition
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The EM Algorithm and Related Statistical Models - Statistics: A Series of Textbooks and Monographs
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.
250 pages
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | October 17, 2019 |
| ISBN13 | 9780367394936 |
| Publishers | Taylor & Francis Ltd |
| Pages | 216 |
| Dimensions | 150 × 220 × 10 mm · 453 g |
| Language | English |
| Editor | Watanabe, Michiko |
| Editor | Yamaguchi, Kazunori |
