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POLI 272

Bayesian Methods

4 credits

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

Topics explicitly listed in official catalogue description

Sources