2020.06.17
Presenter: Ronald van den Berg
Part 1 reviewed frequentist hypothesis testing (based on p values) and contrasted this approach with Bayesian hypothesis testing (using Bayes factors). Basic concepts of Bayesian statistics were reviewed (posteriors, priors, etc) and several standard hypothesis tests were discussed from both the frequentist and Bayesian perspective, including correlation, t-test, and ANOVA.
Prerequisites: basic probability theory, basic frequentist statistics
Slides: https://www.cns.nyu.edu/malab/static/files/tutorial/bayesian_tutorial_20200617.pdf