- Schedule of Classes - February 7, 2023 7:33PM EST
- Course Catalog - February 7, 2023 7:14PM EST
Course information provided by the Courses of Study 2022-2023.
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 Spring.
Prerequisites/Corequisites Prerequisite: ORIE 6700 or an equivalent course in mathematical statistics. A basic knowledge of R is assumed.
Regular Academic Session. Combined with: STSCI 6780
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
- TR Hollister Hall 306
- Jan 23 - May 9, 2023
Instruction Mode: In Person
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