Probability and Statistics

In course

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Description

This lecture covers topics such as p-quantile, normal approximation to the binomial distribution, de Moivre-Laplace theorem, and joint distributions. It explains the concepts of exponential family distributions, marginal and conditional distributions, and cumulative distribution functions. Examples include calculating joint cumulative distribution functions and conditional probability mass functions.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_brxf6zfc

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics, Statistical hypothesis testing, Bayesian statistics

Mathematics

Probability theory: Topics in probability theory

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