Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Distributionally Robust Hypothesis Tests - IFDS 2022

Paul G. Allen School via YouTube

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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

Reviews

Start your review of Distributionally Robust Hypothesis Tests - IFDS 2022

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.