Lecture

Generalized Linear Models

In course

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Description

This lecture covers the concept of Generalized Linear Models (GLM), including examples with GLM densities for different distributions such as Poisson, Normal, and Binomial. It also explores canonical link functions and variance functions, using real-world data to illustrate the application of GLMs.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_xxph4aev

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics

Mathematics

Algebra: Linear algebra

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