Lecture

Mutual Information: Continued

In course

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Description

This lecture delves into the concept of mutual information, focusing on quantifying statistical dependence between variables. It covers the definition of mutual information, its properties, and its role in identifying coevolving sites in interacting proteins. The lecture also explores inferring probability distributions from data, including model selection, parameter estimation, and predicting protein structure from sequence data.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_4zpw6gwz

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics, Statistical hypothesis testing

Information engineering

Information theory: Channel capacity

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Physics

Thermodynamics: Statistical mechanics

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