Lecture

Conditional Probabilities and Independence

In course

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Description

This lecture covers the concepts of conditional probabilities and independence, exploring how to determine the probability density of random vectors and the reduced laws of variables. It also delves into the characteristic function of random variables and optimal detectors, providing examples and structures for efficient signal detection.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_ujyyj0wq

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics

Mathematics

Probability theory: Topics in probability theory

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