Lecture

Linear Models: Estimation and Inference

Description

This lecture covers the estimation and inference of linear models, including defining maps, Jacobians, determinants, and transformations. It also delves into the properties of Gaussian distributions, independence, and parameterizations in statistical data science.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_rc7lbban

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Ontological neighbourhood

Statistics

Data analysis: Regression analysis

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