The aim of the course is to introduce the Bayesian approach to statistical inference. The course will develop the relevant methodology, theory and computational techniques necessary to its implementation. In the course single and multi-parameter models as well as the fundamental of Bayesian regression analysis will be discussed.
Expected learning outcomes
At the end of the course students will know Bayesian inference and the computational ad methodological skills to use OpenBUGS software for Bayesian modelling.
Lesson period: Second trimester
(In case of multiple editions, please check the period, as it may vary)