Methods for the Exploration of Posterior Distributions and Likelihood Functions (Springer Series in Statistics) - Hardcover

Tanner, Martin Abba

Hardcover

ISBN 10: 3540940316 ISBN 13: 9783540940319

Verlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 1993

Über diesen Titel

Reseña del editor

This is a unified presentation of a variety of computational algorithms used in likelihood and Bayesian inference. In this second edition, Martin Tanner has taken the opportunity to expand the treatment of many of the techniques discussed, to devote more space to comparing the methods covered, and to describe the applications in more detail. Topics covered include: maximum likelihood, Monte Carlo methods, the EM algorithm, data augmentation techniques, imputation methods, the Gibbs sampler, the Metropolis algorithm, and the griddy Gibbs sampler. The reader is assumed to have a reasonable basic background in statistics as might be gained in the first year of a graduate course, but otherwise the book is self-contained. As a result, the book will provide a survey of the fast-moving area of statistics for research statisticians and for other researchers and graduate students whose research touches on these techniques.

Details zur Ausgabe

• Verlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
• Erscheinungsdatum: 1993
• ISBN 10: 3540940316
• ISBN 13: 9783540940319
• Einband: Tapa dura
• Sprache: Englisch
• Anzahl der Seiten: 165