- Schedule of Classes - January 7, 2018 7:14PM EST
- Course Catalog - January 7, 2018 7:15PM EST
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.
Disabled for this roster.