ORIE 6780

ORIE 6780

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.

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Enrollment Information
Syllabi: 1 available
  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • 16531ORIE 6780  LEC 001