GS010013   Bayesian Data Analysis

Rosner, Gary. Three semester hours. Fall. Prerequisite: Calculus, linear algebra, prior probability and statistics course (or permission of instructor)

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.