Lecture

Regression Methods: Model Building and Diagnostics

In course

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Description

This lecture covers various aspects of regression methods, including model building, diagnostics, inference, analysis of variance, variable selection, robustness, and estimating functions. Topics include checking linearity, variance, independence, normality, response transformation, leverage, influence, Box-Cox transformation, and an example with Poison data.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_o8d7cn8i

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Ontological neighbourhood

Statistics

Data analysis: Regression analysis, Cross-validation

Statistical inference: Mathematical statistics

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