MATH 6740
Last Updated
- Schedule of Classes - February 16, 2018 10:59AM EST
- Course Catalog - February 12, 2018 11:18AM EST
Classes
MATH 6740
Course Description
Course information provided by the Courses of Study 2017-2018.
Focuses on the modern theory of statistical inference, with an emphasis on asymptotic methods. Topics include M-estimation, related exponential inequalities, U-statistic theory as well as nonparametric density and regression estimation. Asymptotic optimality is discussed in relation to the concepts of contiguity and local approximation by normal models. Optional topics may include resampling methods, Bayesian inference, and classification.
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
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Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
- MWF Malott Hall 230
Instructors
Nussbaum, M
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