Lecture

Independence and Covariance

In course

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Description

This lecture covers the concepts of independence and covariance between random variables, exploring the conditions for independence and the implications of covariance. It delves into the calculation of conditional expectations, variance, and correlation, providing examples to illustrate these concepts. The lecture also discusses the mechanical computation involved in determining the covariance and the significance of independence in statistical analysis.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_g6cwfig6

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics

Mathematics

Probability theory: Topics in probability theory

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