Table of Contents:
  • 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