Lecture

Regression: Simple and Multiple Linear

Description

This lecture introduces simple and multiple linear regression, focusing on models and inference. It covers topics such as least squares estimation, properties of LSE, constructing the likelihood, model diagnostics, and model selection using AIC. The instructor discusses the WHO data, parameter estimation, variance estimates, and coefficient of determination.

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Official source

https://mediaspace.epfl.ch/media/0_kjpmerg8

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Ontological neighbourhood

Statistics

Data analysis: Regression analysis, Cross-validation

Statistical inference: Mathematical statistics, Statistical hypothesis testing

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