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Bayesian computation with R

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Author(s): Albert Jim
Publisher: Springer
Year: 2007

Language: English
Pages: 273

Cover
......Page 1
front-matter......Page 2
01 - An Introduction to R......Page 12
02 - Introduction to Bayesian Thinking......Page 29
03 - Single-Parameter Models......Page 48
04 - Multiparameter Models......Page 66
05 - Introduction to Bayesian Computation......Page 84
06 - Markov Chain Monte Carlo Methods......Page 109
07 - Hierarchical Modeling......Page 144
08 - Model Comparison......Page 169
09 - Regression Models......Page 192
10 - Gibbs Sampling......Page 216
11 - Using R to Interface with WinBUGS......Page 242
back-matter......Page 264