Readings:
- A First Course in Bayesian Statistical Methods by Peter D. Hoff.:
- Section 1: Introduction and examples
- Section 3.1: The binomial model
- Section 3.4: Discussion and further references
- 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 1.9: Computation and software
- Section 1.10: Bayesian inference in applied statistics
- Section 2.1: Estimating a probability from binomial data
- Section 2.2: Posterior as compromise between data and prior information
- Section 2.4: Informative prior distributions