Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference, Second Edition

Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference, Second Edition

Gamerman, Dani
Lopes, Hedibert F.
Freita Lopes, Hedibert

Hardcover

Series: Chapman & Hall/CRC Texts in Statistical Science, Book 68

Probability & Statistics

ISBN10: 1584885874
ISBN13: 9781584885870
Publisher: CRC Press
Published: May 10 2006
Pages: 342
Weight: 1.34
Height: 0.92 Width: 6.10 Depth: 9.54
Language: English
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.

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