Bayesian Linear Regression and Maximum Likelihood Estimates
19:15

Bayesian Linear Regression and Maximum Likelihood Estimates

Steve Brunton 21.04.2026 11 362 просмотров 354 лайков

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In this video we show that the least squares regression fit is the maximum likelihood estimate assuming Gaussian noise on the measurements. This is a powerful fact that will allow us to incorporate prior information in the Bayesian framework. This video was produced at the University of Washington, and we acknowledge funding support from the Boeing Company

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Другие видео автора — Steve Brunton

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