In this one-day course, we will cover the first chapters of Bayesian Core (Springer-Verlag, New York, 2007, ISBN 0-387-38979-2)
2. Normal models
3. Regression and variable selection
4. Generalised linear models
5. Capture-recapture experiments
with the support of specific datasets for each chapter. The goal is to introduce the principles of Bayesian analysis through standard models and to build intuition on the construction of prior distributions as well as of inferential procedures, with a minimum amount of theoretical discussion and an emphasis on practical implementation. Due to the time constraint, the illustration via R programming will necessarily be restricted, but all R programmes are available on http://www.ceremade.dauphine.fr/~xian/BCS and can be downloaded in advance (as well as the slides).

Queensland University of Technology,

4-9 August 2008