— Applied Bayesian Statistics for Social Scientists

Prerequisites & course information

Course Description: Bayesian methodology and inference for social scientists. Basics of probability theory, Bayes' theorem, inference and model checking, discussion of common distributions, sampling approaches, Bayes factors for hypothesis testing and introduction to dedicated software. Learning Activities: Lecture 3 hour(s), Project. Grade Mode: Letter. Learning Activities: Lecture 3 hour(s), Project. Grade Mode: Letter.