Information Measures

In course

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Description

This lecture covers information measures such as entropy, Kullback-Leibler divergence, and data processing inequality. It explains probability kernels, Gaussian distributions, and the concept of mutual information. The lecture also discusses important inequalities and examples of their applications.

Instructors (2)

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Official source

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

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Ontological neighbourhood

Information engineering

Information theory: Channel capacity

Statistics

Statistical inference: Mathematical statistics

Physics

Thermodynamics: Statistical mechanics

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