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Distribution Testing - Hypothesis Testing from Very Little or Very Private Data

Offered By: Simons Institute via YouTube

Tags

Statistical Methods Courses Data Analysis Courses Hypothesis Testing Courses Statistical Inference Courses Probability Theory Courses Data Privacy Courses Sublinear Algorithms Courses

Course Description

Overview

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Explore a comprehensive lecture on distribution testing and hypothesis testing techniques for scenarios with limited or highly private data. Delve into advanced statistical methods presented by Clément Canonne from the University of Sydney as part of the Sublinear Algorithms Boot Camp. Gain insights into innovative approaches for analyzing distributions when faced with data scarcity or privacy constraints, and understand how these methods can be applied in various fields of study.

Syllabus

Distribution Testing: Hypothesis Testing from Very Little (or Very Private) Data


Taught by

Simons Institute

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