- Schedule of Classes - April 3, 2020 7:14PM EDT
- Course Catalog - April 3, 2020 7:14PM EDT
Course information provided by the Courses of Study 2019-2020.
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
- MWUpson Hall 216
- Jan 21 - May 5, 2020
Instruction Mode: Hybrid - Online & In Person
Prerequisites: MATH 6710 or permission of instructor
Or send this URL: