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Distributionally Robust Hypothesis Tests - IFDS 2022

Offered By: Paul G. Allen School via YouTube

Tags

Hypothesis Testing Courses Data Science Courses Statistical Analysis Courses Uncertainty Quantification Courses

Course Description

Overview

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Explore distributionally robust hypothesis tests in this insightful talk by Yao Xie from Georgia Tech, presented at IFDS 2022. Delve into advanced statistical concepts and their applications in data science as Xie shares expertise on developing robust testing methods that can withstand distributional uncertainties. Gain valuable knowledge about the latest developments in hypothesis testing and their implications for real-world data analysis challenges.

Syllabus

IFDS 2022, Yao Xie (Georgia Tech)


Taught by

Paul G. Allen School

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