Government 2003 -- Hierarchical Bayesian Modeling
Course Description: 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.

This class is at the Graduate level
Instructor: Kevin M. Quinn
Prerequisites: Government 1000 and Government 2000, the equivalents, or permission of the instructor.

Back to Classes