SEMINAR: Bayesian statistics
Theory and practice of Bayesian approach to statistics will be presented. First, using a simple example, we will look at the difference between frequentists and Bayesian view, then application of the latter to the ``usual'' statistical models will be discussed. Here we will have to learn about the MCMC (Monte Carlo Markoc Chain) methods and become acquainted with the BUGS programme. At the end, the INLA (Integrated Nested Laplace Approximation) method will be presented. The meetings will take place in the IBMI lecture room and will be in the form of lectures and practical work.