Module 1.1: Building blocks of Bayesian inference

Required:

• A First Course in Bayesian Statistical Methods by Peter D. Hoff.:
  • Section 1: Introduction and examples

Optional:

• Bayesian Data Analysis (Third Edition) by Andrew Gelman, John Carlin, Hal Stern, David Dunson, Aki Vehtari, and Donald Rubin.:
  • Section 1.1: The three steps of Bayesian data analysis
  • Section 1.2: General notation for statistical inference
  • Section 1.3: Bayesian inference
  • Section 1.10: Bayesian inference in applied statistics
• Bayesian Computation with R (Second Edition) by Jim Albert:
  • Section 2: Introduction to Bayesian thinking