Bayesian Computation With R

by Jim Albert

Table of Contents

  1. An Introduction to R
  2. Introduction to Bayesian Thinking
  3. Single-Parameter Models
  4. Multiparameter Models
  5. Introduction to Bayesian Computation
  6. Markov Chain Monte Carlo Methods
  7. Hierarchical Modeling
  8. Model Comparision
  9. Regression Models
  10. Gibbs Sampling
  11. Using R to Interface with WinBUGS

Second Edition is the current edition

Resources: