Maximum Likelihood Estimation

In course

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Description

This lecture covers the concept of Maximum Likelihood Estimation (MLE) in statistics. It explains the assumptions, properties, and distribution of MLE. The lecture also delves into ML Estimation-Distribution, Shrinkage Estimation, and Loss functions, providing theoretical insights and proofs.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_gqbyk106

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