STAT 591

Special Topics in Statistics
3.0 credits

Course Description

Distribution-free inference, game and decision theory, advanced theory of estimation (including sequential estimation), robustness, advanced probability theory, stochastic processes or empirical processes. Prerequisite: permission of instructor. Offered: A.

Upcoming Time Schedule

Spring, 2023

SLN/Section Time Location Instructor
20197 A
Open

W F 11:30AM - 12:50PM

PDL C301

Alexander Giessing

GAUSSIAN AND EMPIRICAL PROCESS THEORY FOR HIGH-DIMENSIONAL DATA RECOMMEND PREREQ: EITHER THEORETICAL STATISTICS COMPARABLE TO STAT 582, 583 OR GRADUATE LEVEL PROBABILITY COMPARABLE TO STAT 521 OR MATH 581, 582. STUDENTS WHO ARE UNSURE WHETHER THEY MEET THE PREREQS ARE WELCOME TO CONTACT INSTRUCTOR DIRECTLY. INSTRUCTOR'S NAME WILL BE POSTED A WEEK BEFORE THE QUARTER STARTS.

 

 

21430 B
Open

to be arranged -

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