Lecture

Probability and Statistics

In course

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Description

This lecture covers topics related to probability and statistics, including the de Moivre-Laplace theorem, joint random variables, marginal and conditional distributions, and the multinomial distribution. It also discusses the concepts of independence, covariance, correlation, and linear combinations of random variables. The limitations of correlation and properties of correlation are explored, along with examples illustrating these concepts. The lecture concludes with a discussion on the heredity of a quantitative genetic characteristic modeled using random variables.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_5pax82jw

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics, Bayesian statistics

Data analysis: Regression analysis

Mathematics

Probability theory: Topics in probability theory

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