Description: Markov Chain Monte Carlo : Stochastic Simulation for Bayesian Inference, Hardcover by Gamerman, Dani; Lopes, Hedibert Freitas, ISBN 1584885874, ISBN-13 9781584885870, Brand New, Free shipping in the US This graduate textbook describes the Bayesian approach to inference, the properties of Markov chains, the Gibbs sampling technique for stochastic simulation, and the Metropolis-Hastings algorithm. The final chapter in the second edition adds sections on reversible jump, slice sampling, bridge sampling, path sampling, and delayed rejection. A web site provides R and WinBUGS code for the examples and exercises. Annotation ©2006 Book News, Inc., Portland, OR ()
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Book Title: Markov Chain Monte Carlo : Stochastic Simulation for Bayesian Inf
Number of Pages: 342 Pages
Publication Name: Markov Chain Monte Carlo : Stochastic Simulation for Bayesian Inference, Second Edition
Language: English
Publisher: CRC Press LLC
Subject: Probability & Statistics / Stochastic Processes, Probability & Statistics / General
Item Height: 0.9 in
Publication Year: 2006
Type: Textbook
Item Weight: 21.7 Oz
Item Length: 9.5 in
Author: Hedibert F. Lopes, Dani Gamerman
Subject Area: Mathematics
Series: Chapman and Hall/Crc Texts in Statistical Science Ser.
Item Width: 6.6 in
Format: Hardcover
