Lecture 4: Introduction to Bayesian statistics: Bayes theorem, prior choices
Lecture 5: Introduction to Bayesian statistics: Bayesian hypothesis testing, posterior predictive checking, hierarchical models
Lecture 6: Bayesian sampling methods
Practical 2: Introduction to JAGS