STSCI 6750

STSCI 6750

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.

View Enrollment Information

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • 18234STSCI 6750  LEC 001

    • MWUpson Hall 216
    • Jan 21 - May 5, 2020
    • Kato, K

  • Instruction Mode: Hybrid - Online & In Person
    Prerequisites: MATH 6710 or permission of instructor