POLI 272
Bayesian Methods
Provides students a solid understanding of Bayesian inference and Markov chain Monte Carlo methods. Topics covered include Bayesian treatment of the linear model, Markov chain Monte Carlo methods, assessing model adequacy, and hierarchical models. Prerequisites: graduate standing.
Topics
- Bayesian treatment of the linear model
- Markov chain Monte Carlo methods
- assessing model adequacy
- and hierarchical models
Topics explicitly listed in official catalogue description
Sources
- Course catalogue ↗2026-2027