June 10-12 Short Courses
Introduction to Bayesian Analysis
Dr. Steve Culpepper
Course Description
This short course introduces the concepts and methodology of Bayesian statistics. Topics include Bayes’ rule, likelihood functions, prior and posterior distributions, Bayesian point estimates and intervals, Bayesian hypothesis testing, and prior specification. Additional topics include Bayesian regression, model selection, prediction, diagnostics, Bayes factors, and exploratory factor analysis. We also review practical implementations of Markov chain Monte Carlo and hierarchical models using R and JAGS and discuss conceptual differences between the Bayesian and frequentist paradigms.
Event Information
June 10-12, 2024
Mon/Tue: 8:30 a.m. – 5:00 p.m. EDT
Wed: 8:30 a.m. – 12:00 p.m. EDT
Wayne State University
Mike Ilitch School of Business
Meet the Instructor
Video Introduction