Lecture

Densities and Bayesian Inference: Decision Rules and Bayes Law

In course

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Description

This lecture covers the formalization of classification concepts using probabilistic models, generative models for binary classification, inference and prediction concepts, sensitivity and specificity in medical screening tests, and decision rules based on Bayes law and likelihood ratio tests.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_xduy5avj

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Ontological neighbourhood

Statistics

Statistical inference: Statistical hypothesis testing

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