Bayesian Inference

  • Illustrations of Various Concepts from Bayesian Inference
  1. Data Dominates
  2. HPDCI Example
  3. Prior Predicitve and Posterior Predicitve Distribution
  4. Asymptotic Normality of Posterior Distribution
  5. Histogram as Prior


  • Solutions to Some Problems from Bayesian Computation with R by Jim Albert
  1. Problem of Rounded Data
  2. Analysis of Bio-Assay Experiment


  • Books you should read if you want to learn Bayesian Inference
  1. An Introduction to Bayesian Analysis Thoery and Methods by J. K. Ghosh, Mohan Delampady and Tapas Samanta
  2. Bayesian Data Analysis by Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, Donald B. Rubin
  3. The Bayesian Choice From Decision-Theoretic Foundations to Computational Implementation by Christian P. Robert
  4. Bayesian Computation with R by Jim Albert