STSCI 6750

STSCI 6750

Course information provided by the 2019-2020 Catalog.

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.


Prerequisites/Corequisites Prerequisite: MATH 6710 or permission of instructor.

When Offered Spring.

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Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • 18234 STSCI 6750   LEC 001

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

  • Instruction Mode: Hybrid - Online & In Person

    Prerequisites: MATH 6710 or permission of instructor