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Department of Mathematics,
Department of Mathematics,
University of California San Diego
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Math 296 - Graduate Colloquium
Danna Zhang
UC San Diego
High dimensional testing for non-Gaussian data
Abstract:
High dimensional non-Gaussian data are increasingly encountered in a wide range of applications. It poses new challenges to traditional statistical tools. In this talk, we will present some recent development on methodologies and theories for the analysis of fat-tailed data as well as some high dimensional estimation and inference problems.
Host: Elham Izadi
January 5, 2021
3:00 PM
Contact Elham Izadi for Zoom link
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