Course Schedule and Catalog

Long Title: BAYESIAN DATA ANALYSIS

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Prerequisite(s): STAT 431 AND (STAT 615 OR STAT 410)

Description: This course will cover Bayesian methods for analyzing data. The emphasis will be on applied data analysis rather than theoretical development. We will consider a variety of models, including linear regression, hierarchical models, and models for categorical data. Computational methods will be emphasized. STAT 622 will have more advanced assignments and examinations focusing on theoretical methods. Graduate/Undergraduate Equivalency: STAT 422. Mutually Exclusive: Cannot register for STAT 622 if student has credit for STAT 422.