Lecture

Joint Distributions

Description

This lecture covers the concept of joint distributions, focusing on defining the counterpart of the cumulative distribution function for two variables, understanding the relationship between the joint distribution and probability density, calculating marginal laws from the joint law, and exploring the properties of covariance, correlation, and variance in the context of joint distributions.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_ejhe5efn

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics

Data analysis: Regression analysis

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