- Schedule of Classes - January 31, 2019 7:14PM EST
- Course Catalog - January 31, 2019 7:15PM EST
Course information provided by the Courses of Study 2018-2019.
Priors, posteriors, Bayes estimators, decision theory, asymptotic theory, Bayes factors, credible regions, hierarchical models, nonparametric Bayes, computational methods, Bayesian robustness, and applications. This is a theory-oriented course intended for PhD students. For a more applied introduction to Bayesian statistics, students should take STSCI 4780, Bayesian Data Analysis: Principles and Practice, which is offered in the spring.
When Offered Fall.
Prerequisites/Corequisites Prerequisite: ORIE 6700 or an equivalent course in mathematical statistics. A basic knowledge of R is assumed.
Disabled for this roster.