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