After the course, the student will be able to determine posterior distributions, Bayes estimates, posterior intervals and posterior predictive distributions in some simple cases, and do Bayesian hypothesis testing. Further, he will be able to analyse single-parameter and simple multiparameter models using software such as BUGS.
Contents
Prior and posterior distributions, Bayes estimators, posterior predictive distribution, interval estimation and hypothesis testing, single-parameter models, simple multiparameter models.