Lecture

Conditional Density and Expectation

Description

This lecture covers the concepts of conditional density, joint density, independence of random variables, and expectation. It explains how to find marginal densities, calculate probabilities under different distributions, and determine variance and standard deviation.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_vzzc1zud

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics

Mathematics

Probability theory: Topics in probability theory

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