Octavo, xvii, 323 pages. In Very Good condition. Spine is black with white print. Boards in red glossy illustrated paper. Illustrated: b&w graphs, figures. NOTE: Shelved in Netdesk Column P. 1395209. FP New Rockville Stock.

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D�tails bibliographiques

Titre

MARKOV CHAIN MONTE CARLO : STOCHASTIC SIMULATION FOR BAYESIAN INFERENCE (TEXTS IN STATISTICAL SCIENCE)

�diteur

Chapman & Hall/CRC, Boca Raton

Date de parution

2006

Langue

anglais

ISBN � 10 chiffres

1584885874

ISBN � 13 chiffres

9781584885870

Reliure

Hardcover

�dition

Second edition.

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A propos de ce titre

Synopsis

Incorporating changes in theory and highlighting new applications, this book presents a concise, accessible, and comprehensive introduction to the methods of this valuable simulation technique. This second edition includes many new examples in the chapters on Gibbs sampling and Metropolis-Hastings algorithms. It incorporates all the recent developments in MCMC, including reversible jump, slice sampling, bridge sampling, path sampling, multiple-try, and delayed rejection. It also features many worked examples and discusses computation using both R and WinBUGS. With additional exercises and selected solutions within the text, it offers all data sets and software for download from the Web.

� propos de l?auteur

Dani Gamerman, Hedibert F. Lopes

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

Description de la librairie

DC's Oldest Rare and Used Bookstore, Second Story Books operates two open shops in the Washington D.C. metropolitan area. We have an extensive internet presence, provide accredited appraisals member ASA, and have an in house book binder. For more information go to www.secondstorybooks.com

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