- Schedule of Classes - May 14, 2021 7:14PM EDT
- Course Catalog - May 14, 2021 7:15PM EDT
Course information provided by the Courses of Study 2020-2021.
This course will discuss several probabilistic results and techniques that are useful in mathematical statistics. Limit theorems and stochastic inequalities are two key components of the course. Topics to be covered include complements of basic limit theorems (Skorohod representation theorem, Berry-Esseen bound, Delta method), empirical distribution and quantile functions, U-statistics, bootstrap (and subsampling if time permits), stochastic convergence in metric spaces, and some elements of modern empirical process theory.
When Offered Spring.
Prerequisites/Corequisites Prerequisite: MATH 6710 or permission of instructor.
Regular Academic Session.
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
- ROnline Meeting
- Feb 8 - May 14, 2021
Instruction Mode: Online
Prerequisites: MATH 6710 or permission of instructor
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