Contents

• 1 Week 1- Bayesian inference.
  • 1.1 Introduction
  • 1.2 Conjugacy
  • 1.3 Credibility and Confidence intervals
• 2 Bayesian statistics 331-Week 2
  • 2.1 Summary
  • 2.2 Conjugates for likelihoods from the exponential family
  • 2.3 The evidence for the model
  • 2.4 Objective priors
• 3 Week 3: Bayesian statistics: Prediction
  • 3.1 Examples
  • 3.2 The predictive for model checking
  • 3.3 Using the predictive for model checking and evaluation
• 4 Bayesian statistics 331 Week 4 Multi-parameter models
  • 4.1 The Multinomial dirichlet family
  • 4.2 The Normal distribution
• 5 Week 5 Bayesian statistics: Decisions
  • 5.1 Ingredients of a Decision problem
  • 5.2 Bayes Rule and Risk
  • 5.3 Decision theory for pomt estimation
  • 5.4 Evaluating the cost or utility of an experiment