Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference, Second Edition - Chapman & Hall / CRC Texts in Statistical Science - Gamerman, Dani (University Federal Do Rio de Janeiro, Brazil) - Books - Taylor & Francis Inc - 9781584885870 - May 10, 2006
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Gamerman, Dani (University Federal Do Rio de Janeiro, Brazil)
Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference, Second Edition - Chapman & Hall / CRC Texts in Statistical Science 2nd edition

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Incorporating changes in theory and highlighting various applications, this book presents a comprehensive introduction to the methods of Markov Chain Monte Carlo (MCMC) simulation technique. It incorporates the developments in MCMC, including reversible jump, slice sampling, bridge sampling, path sampling, multiple-try, and delayed rejection.

344 pages, 44 black & white illustrations, 15 black & white tables

Media Books     Hardcover Book   (Book with hard spine and cover)
Released May 10, 2006
ISBN13 9781584885870
Publishers Taylor & Francis Inc
Pages 342
Dimensions 162 × 239 × 23 mm   ·   648 g
Language English  
Series Editor Carlin, Bradley. P. (University of Minnesota, Minneapolis, Minnesota, USA)
Series Editor Chatfield, Chris (University of Bath, UK)
Series Editor Tanner, Martin A. (Northwestern University, Evanston, Illinois, USA)
Series Editor Zidek, Jim (University of British Columbia, Vancouver, Canada)

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