learnB4SS workshop slides Day 1 Introduction Application to regression I - Demo Bayes theorem - How does it work? Application to regression II - Priors and Bayesian updating NHST vs. Bayesian inference Day 2 Interim review Application to regression III - More Bayesian inference More on priors Application to regression IV - Leveling up Sampling from the posterior Wrap up
