Regression II

In course

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Description

This lecture covers advanced topics in regression analysis, focusing on distributional checks, weighted least squares, and hypothesis testing in the least squares set-up. It discusses the importance of general assumptions in the Gaussian linear regression model, the detection and handling of outliers, and diagnostic tools for model evaluation.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_izas4asb

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Ontological neighbourhood

Statistics

Data analysis: Regression analysis

Statistical inference: Mathematical statistics, Statistical hypothesis testing

Computer engineering

Software development: Software development process

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