Lecture

Linear Regression: Estimation and Inference

Description

This lecture covers the estimation and inference aspects of linear regression models, focusing on the least squares method, estimation of parameters, linearity assumptions, model comparison, and statistical tests. The instructor explains how to estimate the parameters of a simple linear model, interpret the least squares estimators, and perform hypothesis testing on the regression coefficients.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_g99vuigs

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics, Statistical hypothesis testing

Data analysis: Regression analysis

Mathematics

Probability theory: Topics in probability theory

Algebra: Linear algebra

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