Linear Regression: Maximum Likelihood Approach

In course

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Description

This lecture covers linear regression topics such as confidence intervals for coefficients and variance, regression diagnostics, distribution plots, and the maximum likelihood approach. It explains the assumptions and calculations involved in least squares estimation, weighted least squares, and hypothesis testing in the least squares set-up.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_u1w7aimo

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics, Statistical hypothesis testing

Data analysis: Regression analysis

Computer engineering

Software development: Software development process

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