Watanabe / Yamaguchi The EM Algorithm and Related Statistical Models

1. Auflage 2003
ISBN: 978-1-135-52466-1
Verlag: Taylor & Francis
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 250 Seiten

Reihe: 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.

Zielgruppe

Pure and applied mathematicians, statisticians, researchers in the social and natural sciences, and upper-level undergraduate and graduate students in these disciplines

Autoren/Hrsg.

Watanabe, Michiko

Yamaguchi, Kazunori

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
• Mathematik | Informatik Mathematik Stochastik