Principles of Bayesian inference -- Model comparison and choice -- Regression for metric outcomes -- Models for binary and count outcomes -- Further questions in binomial and count regression -- Random effect and latent variable models for multicategory outcomes -- Ordinal regression -- Discrete spatial data -- Time series models for discrete variables -- Hierarchical and panel data models -- Missing-data models

1. Bayesian statistical decision theory
2. Monte Carlo method
3. Markov processes
4. Multivariate analysis