STA 395-01 - Advanced Special Topic: Bayesian Statistics

4 credits (Fall)

This course explores the Bayesian approach to statistical analysis. Students will learn the differences and similarities between classical and Bayesian methods, and how to conduct Bayesian analyses using software such as R, Stan or JAGS. Data from multiple disciplines will be used to illustrate the fundamentals, and we will also consider more advanced topics, such as multilevel models and meta-analysis, which are particularly suited to Bayesian analysis. This course was previously offered as MAT 444.

Prerequisite: MAT 335, STA 335, or STA 310.
Instructor: Jonkman