Maximum Likelihood, MSE, Fisher Information, Cramér-Rao Bound

In course

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Description

This lecture covers topics such as maximum likelihood estimation, mean squared error, Fisher information, and the Cramér-Rao bound. It explains how to calculate these metrics and their significance in statistical inference.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_l3feoaj9

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics

Data analysis: Regression analysis

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