Applied Bayesian Analyses in R (ABAR/Turku 2023)

This workshop was given at the Turku University in 2023, introducing applied Bayesian analyses in R (making use of brms).

Since 2023 I am also a visiting professor at Turku University. One of the nice tasks that I have is teaching on Bayesian analyses. So, in October 2023 I gave a 3 part workshop on Applied Bayesian Analyses in R.

Part 1 covers the basis idea behind statistical inference within the Bayesian framework and how models are estimated making use of MCMC in brms. You can find the slides as an html page HERE.

Part 2 delves deeper in checking the model in all it’s aspects. Therefore, we introduce the WAMBS checklist and cover topics like: thinking and defining priors, prior predictive checks, checking model convergence, posterior predictive checks and conducting prior sensitivity analyses. The slides are HERE.

Part 3 is on the interpreting, visualizing and reporting the results of Bayesian models. Here you can find an intro to different ways to create nice plots on the posterior probability distributions and some info on the concepts ROPE and Credible Intervals (eti and hdi). The slides are HERE.

All the files from the workshop can be found online in an OFS repository: OSF repo. There you will find the slideshows, the Quarto docs behind the slideshow, the dataset used, the WAMBS template, …