Bayesian Statistics

In this module we discuss Bayesian statistics. Nowadays, with the advance of computing and Markov chain Monte Carlo (MCMC) algorithms, Bayesians statistics is becoming a powerful alternative for traditional frequentistic statistics. The philosophy behind Bayesian Statistics is discussed. Practical examples are studied, and analyzed using the (freeware) program WinBUGS. Students will be surprised how easy they can tackle problems that are quite complicated to handle with traditional frequentistic statistics.

Former occurrences of this course

27-30 June 2022   |   26-27 Nov 2020   |   23-24 Oct 2019   |   15-16 Octr 2018   |   25-26 Oct 2017   |   17-18 Oct 2016   |   12-13 Oct 2015   |   20-21 Oct 2014   |   17-18 Oct 2013   |   25-26 Oct 2012   |   27-28 Oct 2011   |   20-21 Oct 2010