MATH 264 - Bayesian Data Analysis

3 unit(s)
A graduate-level introduction to Bayesian statistical methods for inference. Exchange-ability. Prior, likelihood, posterior and predictive distributions. Hierarchical models. Model checking.

Prerequisite(s): MATH 164 with a “B” or better
Grading: Letter Graded

Class Schedule | Syllabus Information | University Bookstore