Information Measures

In course

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Description

This lecture covers information measures such as entropy and Kullback-Leibler divergence, along with data processing inequality. It explains probability kernels, equality conditions, and proofs related to these concepts.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_nmn8d8ld

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics

Logic

Classical logic: First-order logic

Information engineering

Information theory: Channel capacity

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