Lecture

Bayesian Inference: Optimal Decisions

In course

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Description

This lecture covers the Bayesian approach to hypothesis testing, focusing on making optimal decisions based on prior and likelihood distributions. It discusses scenarios where null hypothesis significance testing (NHST) is sub-optimal and demonstrates the calculation of probabilities using Bayes' theorem through practical examples.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_37kt8zgk

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Ontological neighbourhood

Statistics

Statistical inference: Statistical hypothesis testing

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