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Maximum Likelihood Estimation (MLE) with Examples
Автор: Steve Brunton
Загружено: 2025-11-13
Просмотров: 9394
Описание:
This video introduces Maximum Likelihood Estimation (MLE), one of the most important methods in statistical parameter estimation. MLE is the basis of the Bayesian extension, maximum a posteriori (MAP) estimation.
This video was produced at the University of Washington, and we acknowledge funding support from the Boeing Company
%%% CHAPTERS %%%
00:00 Intro
01:05 Problem Statement of MLE
05:58 Deriving the Estimator
12:20 Example: MLE of a Poisson
19:00 Recap
21:45 Note on Prior Knowledge & Outro
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