Various topics on Bayesian statistics will be treated in this course such as the concept of subjective probability, prior knowledge, prior specification, Bayesian estimation, Bayesian hypothesis testing using the Bayes factor, posterior predictive checking, and Bayesian computation using Gibbs sampling.
The aim of this course is to provide the students with the basic principles of Bayesian statistics relevant for data analysis and statistical modelling as applied in the social and behavioural sciences.