STSCI 6780

Bayesian Statistics and Data Analysis

Course Description

Course information provided by the Courses of Study 2021-2022.

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.

Comments A basic knowledge of R is assumed.

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