MAT 444-01 - Senior Seminar: Bayesian Statistical Analysis

4 credits (Spring)

The debate between classical (or “frequentist”) statisticians and “Bayesian” statisticians has produced controversy, and sometimes surprising levels of animosity, for decades. Recent advances in computing have revolutionized statistical practice by making it easier to obtain Bayesian solutions to complicated problems, which in turn has helped unify the statistical community. This course will introduce the differences and underlying similarities between classical and Bayesian methods. Students will learn the basics of Bayesian analysis using R and JAGS software, and see how Bayesian methods have revolutionized the use of statistics in fields such as medicine, environmental studies, political science, and genetics. We will also explore advanced topics, such as hierarchical models and meta-analysis, which are particularly well suited to a Bayesian approach.

Prerequisite: MAT 335. MAT 309 or MAT 310 with permission of instructor.
Instructor: Jonkman