MATH 6740

Mathematical Statistics II

Course Description

Course information provided by the 2014-2015 Catalog.

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.

Prerequisites/Corequisites Prerequisites: MATH 6710 (measure theoretic probability) and  STSCI 6730/MATH 6730, or permission of instructor.

When Offered Spring.

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