Probability and Statistics

In course

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Description

This lecture covers topics such as joint random variables, conditional density, marginal distributions, and independence in the context of probability and statistics. It also delves into continuous and discrete random variables, distribution functions, and essential properties of density functions. Examples and exercises are provided to illustrate the concepts discussed.

Official source

https://mediaspace.epfl.ch/media/0_f7jreprr

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics, Statistical hypothesis testing

Mathematics

Probability theory: Topics in probability theory

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