Lecture

Linear Regression: Maximum Likelihood Estimation

Description

This lecture covers the concept of linear regression with a focus on maximum likelihood estimation. It discusses the process of minimizing the error using the least squares method and explores the probabilistic model for linear regression. The lecture also delves into obtaining errors on the estimated parameters and the importance of symmetric matrices in the context of linear regression.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_sgi651md

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Ontological neighbourhood

Statistics

Data analysis: Regression analysis

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