Lecture

Hypothesis Testing: Neyman-Pearson Framework

In course

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Description

This lecture covers the concept of hypothesis testing, distinguishing between two hypotheses based on observations or samples, types of errors, the Neyman-Pearson framework, one-sided Gaussian tests, and simple vs composite hypotheses. It also discusses the asymmetry of errors and the importance of privileging one hypothesis by default.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_77ka1f4j

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Ontological neighbourhood

Statistics

Statistical inference: Statistical hypothesis testing, Mathematical statistics

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