Bayesian Statistics

CAS MA 578

The principles and methods of Bayesian statistics. Subjective probability, Bayes rule, posterior distributions, predictive distributions. Computationally based inference using Monte Carlo integration, Markov chain simulation. Hierarchical models, mixture models, model checking, and methods for Bayesian model selection.

FALL 2017 Schedule

Section Instructor Location Schedule Notes
A1 Doros STH B19 TR 12:30 pm-1:45 pm Class Closed

Note that this information may change at any time. Please visit the Student Link for the most up-to-date course information.