GS01 1013 Bayesian Data Analysis

Baladandayuthapani, Veera. Three semester hours. Fall, annually. Grading System: Letter Grade. Prerequisite: Calculus, linear algebra, prior probability and statistics course (or Consent of Instructor).

This course will cover Bayesian methods for analyzing data. The emphasis will be on applied data analysis rather than theoretical development. A variety of models, including linear regression, hierarchical models, and models for categorical data will be considered.