Lecture

Generalized Linear Models

Description

This lecture covers topics such as probability and modeling, random variables and vectors, expectation, conditional expectation, moment generating functions, exponential family, sampling theory, estimation, hypothesis testing, Bayesian statistics, regression, GLMs, and model selection. The instructor discusses various statistical concepts and methods with worked examples.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_0j919cyn

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics, Statistical hypothesis testing

Data analysis: Regression analysis

Mathematics

Probability theory: Topics in probability theory

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