Estimation & Bayesian Inference

In courses (2)

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Description

This lecture covers topics such as demousing, estimation, Bayesian inference, likelihood, AWGN, prior probability, evidence, and posterior probability. It explains concepts like conditional probability, entropy, and the Bayes theorem.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_1z3ehy6h

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Ontological neighbourhood

Statistics

Statistical inference: Statistical hypothesis testing

Mathematics

Probability theory: Topics in probability theory

Physics

Thermodynamics: Statistical mechanics

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