Bayesian Analysis For the Live Sciences

University of Oulu, November 4th 2008

Course Material

• Exercise 1: What do we Mean by Probability?
• Lecture 1: What is Probability?
• Lecture 2: Bayesian Inference: The Basics
• Lecture 3: Multiple Parameters

• Lecture 4: MCMC
• Exercise 2: Thinking about hierarchical structures
• Lecture 5: Hierarchical Models
• Lecture 6: Missing Data and Prediction

Additional Material

• Mick McCarthy: Bayesian Methods for Ecology (Amazon): A simple basic introduction to Bayesian ideas.
• Gelman & Hill: Data Analysis Using Regression and Multilevel/Hierarchical Models (Amazon): A very good comprehensive introduction to hierarchical models, pitched at a fairly basic level.
• Gelman et al.: Bayesian Data Analysis (Amazon): A more advanced text, but full of lots of useful ideas.