CAUP Seminar - Bayesian analysis made easy - 12 março 2014

Bayesian analysis made easy

Alexandre Santerne 

CAUP

Resumo

In this single course, I will present some recipes of Bayesian analysis of data in an easy way. I will start with the main principle of Bayesian analysis of data and the notion of priors (and why they are important). Then, I will present the recipes of the Markov Chain Monte Carlo and the Metropolis–Hastings algorithm. I will also discuss some limitation of this approach and some tricks to skirt them. This course is not a pratical course (no need to bring your laptop). To attend this course, it is not requested to be a world-wide expert in Bayesian statistics, but some knowledge about what a probability is would be more than useful.

12 de março de 2014 | 13:30

Local

Centro de Astrofísica da U.P.
Rua das Estrelas
4150-762 Porto