STSCI 6750
Last Updated
- Schedule of Classes - June 25, 2020 7:14PM EDT
- Course Catalog - June 25, 2020 7:15PM EDT
Classes
STSCI 6750
Course Description
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.
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Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
- MW Upson Hall 216
- Jan 21 - May 5, 2020
Instructors
Kato, K
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Additional Information
Instruction Mode: Hybrid - Online & In Person
Prerequisites: MATH 6710 or permission of instructor
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