The EM Algorithm and Related Statistical Models

The EM Algorithm and Related Statistical Models
Author :
Publisher : CRC Press
Total Pages : 214
Release :
ISBN-10 : 9780824757021
ISBN-13 : 0824757025
Rating : 4/5 (21 Downloads)

Book Synopsis The EM Algorithm and Related Statistical Models by : Michiko Watanabe

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.


The EM Algorithm and Related Statistical Models Related Books

The EM Algorithm and Related Statistical Models
Language: en
Pages: 214
Authors: Michiko Watanabe
Categories: Mathematics
Type: BOOK - Published: 2003-10-15 - Publisher: CRC Press

DOWNLOAD EBOOK

Exploring the application and formulation of the EM algorithm, The EM Algorithm and Related Statistical Models offers a valuable method for constructing statist
The Em Algorithm and Related Statistical Models
Language: en
Pages: 250
Authors: Michiko Watanabe
Categories:
Type: BOOK - Published: 2019-10-17 - Publisher: CRC Press

DOWNLOAD EBOOK

Exploring the application and formulation of the EM algorithm, The EM Algorithm and Related Statistical Models offers a valuable method for constructing statist
The EM Algorithm and Extensions
Language: en
Pages: 399
Authors: Geoffrey J. McLachlan
Categories: Mathematics
Type: BOOK - Published: 2007-11-09 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

The only single-source——now completely updated and revised——to offer a unified treatment of the theory, methodology, and applications of the EM algorith
Learning in Graphical Models
Language: en
Pages: 652
Authors: Michael Irwin Jordan
Categories: Computers
Type: BOOK - Published: 1999 - Publisher: MIT Press

DOWNLOAD EBOOK

Presents an exploration of issues related to learning within the graphical model formalism. This text covers topics such as: inference for Bayesian networks; Mo
Methods of Statistical Model Estimation
Language: en
Pages: 246
Authors: Joseph Hilbe
Categories: Mathematics
Type: BOOK - Published: 2016-04-19 - Publisher: CRC Press

DOWNLOAD EBOOK

Methods of Statistical Model Estimation examines the most important and popular methods used to estimate parameters for statistical models and provide informati