Lecture notes
L0: Course Introduction
L1: The Basics of Bayesian Statistics
L2: Bayesian Thinking
L3: Single-Parameter Models
L4: Multi-Parameter Models
L5: Introduction to Bayesian Computation
L6: Independent Monte Carlo Methods
L7: Markov chain Monte Carlo (MCMC) Methods
L8: Group Comparison and Hierarchical Models
L9: Regression Models
L10: Review