MAT 435 - Bayesian Analysis

(3 credits; alternate years, consult department)

An introduction to Bayesian statistical modeling and inference and related computational strategies and algorithms, including posterior and predictive inference; Bayesian models in applications; methods of prior elicitation; and computation, visualization, and analysis of real-world data.

Prerequisites: MAT116QR and MAT180WI.