The aim of this 2-day short course is to introduce you to Bayesian statistical modelling. The concepts and tools that will be introduced throughout the course will be illustrated by concrete data analysis cases. This course is built around the R language and the use of the brms package, an interface to the Stan probabilistic language. It is therefore essential to have some basic knowledge of the R language.
| Course | Calendar |
|---|---|
| Course n°01: Introduction to Bayesian inference, Beta-Binomial model | November 30, 14h-16h |
| Course n°02: Introduction to brms, linear regression | November 30, 16h-18h |
| Course n°03: Markov Chain Monte Carlo, generalised linear model | December 1, 9h-11h |
| Course n°04: Multilevel models, cognitive models | December 1, 11h-13h |