ORIE 6780
Last Updated
- Schedule of Classes - February 12, 2019 8:29PM EST
- Course Catalog - January 26, 2019 2:00PM EST
Classes
ORIE 6780
Course Description
Course information provided by the 2018-2019 Catalog.
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.
Prerequisites/Corequisites Prerequisite: ORIE 6700 or an equivalent course in mathematical statistics. A basic knowledge of R is assumed.
When Offered Fall.
Regular Academic Session.
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Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
- MWF Phillips Hall 307
Instructors
Ruppert, D
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Additional Information
Instruction Mode: In Person
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