Lecture

Entropy and Sampling Theory

Description

This lecture covers the concepts of entropy and sampling theory, focusing on minimally sufficient statistics, exponential families, and Gaussian sampling distributions. It explains how sufficient statistics compress data without information loss and the importance of minimal sufficiency. Examples illustrate the application of these concepts in various scenarios.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_wh98z7bx

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics

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