STSCI 6750

Probability II for Statistics

Course Description

Course information provided by the Courses of Study 2022-2023.

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, ORIE 6510, or equivalent.

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