The EM Algorithm and Related Statistical Models
Author | : Michiko Watanabe |
Publisher | : CRC Press |
Total Pages | : 214 |
Release | : 2003-10-15 |
ISBN-10 | : 9780824757021 |
ISBN-13 | : 0824757025 |
Rating | : 4/5 (21 Downloads) |
Download or read book The EM Algorithm and Related Statistical Models written by Michiko Watanabe and published by CRC Press. This book was released on 2003-10-15 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.