- Schedule of Classes - June 23, 2021 7:14PM EDT
- Course Catalog - June 23, 2021 7:15PM EDT
Course information provided by the Courses of Study 2020-2021. Courses of Study 2021-2022 is scheduled to publish by July 1.
Focuses on the modern theory of statistical inference, with an emphasis on nonparametric and asymptotic methods. Topics include empirical Bayes and shrinkage estimators, unbiased estimation of risk, adaptive estimation, as well as oracle inequalities, a powerful concept which has applications in classification and machine learning. An optional topic is the use of Markov random fields for image restoration. The course includes a discussion of the general asymptotic theory for statistical models, as a tool for finding optimal decisions, based on the concepts of contiguity and local asymptotic normality.
When Offered Fall.
Prerequisites/Corequisites Prerequisite: MATH 6710 (measure theoretic probability) and STSCI 6730/MATH 6730, or permission of instructor.
Regular Academic Session. Combined with: STSCI 6740
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
- TRTo Be Assigned
- Aug 26 - Dec 7, 2021
Instruction Mode: Planned for In Person
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