2  Resources

2.0.1 Introductions to Bayesian inference

• Rasmus Bååth has created a three-part video-lecture introducing Bayesian data analysis Part 1, Part 2 and Part 3.

• A visual introduction to Bayesian inference

2.0.2 Resources for fitting and learning Bayesian data modelling

• Statistical rethinking with brms, ggplot2, and the tidyverse: Second edition by Solomon Kurz is a thorough parallel reading of Statistical Rethinking with all models implemented in the brms package.

• The brms Book: Applied Bayesian Regression Modelling Using R and Stan (Early Draft) by Paul Bürkner. This book introduces the brms package along with Bayesian regression modelling.

• The stan user guide by the Stan Development Team provides examples on programming models in the Stan language.