Bayesian computation with R

Albert Jim978-0-387-31073-2, 978-0-387-32907-9

Table of contents :
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