TY  - BOOK
AU  - Gamerman,Dani
AU  - Lopes,Hedibert Freitas
TI  - Markov chain Monte Carlo: stochastic simulation for Bayesian inference 
T2  - Texts in statistical science series 
SN  - 9781584885870
U1  - 519.282 23
PY  - 2006///
CY  - Boca Raton
PB  - Chapman & Hall
KW  - Monte Carlo method
KW  - Markov processes
KW  - Bayesian statistical decision theory
N1  - Includes bibliographical references and indexes; 1. Stochastic simulation --
 2. Bayesian inference --
 3. Approximate methods of inference --
 4. Markov chains --
 5. Gibbs sampling --
 6. Metropolis-Hastings algorithms --
 7. Further topics in MCMC
N2  - This 2nd edition presents a concise, accessible, and comprehensive introduction to the methods of this valuable simulation technique. The second edition includes access to an internet site that provides the code, written in R and WinBUGS, used in many of the previously existing and new examples and exercises. More importantly, the self-explanatory nature of the codes will enable modification of the inputs to the codes and variation on many directions will be available for further exploration.
ER  -