Lecture

Modern Regression: Smoothing and Modelling Choices

In course

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Description

This lecture covers the roughness penalty and equivalent formulations in regression, discussing band matrices, mixed effects models, and Bayesian inference. It also explores the choice of weight matrices, basis functions, and penalty matrices for regression smoothing.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_khzospk7

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Ontological neighbourhood

Statistics

Data analysis: Regression analysis

Statistical inference: Multivariate statistics

Mathematics

Algebra: Linear algebra

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