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Tag: Bayesian Tracking

A Derivation of the Kalman Filter

July 24, 2016

The Kalman Filter is one of the more useful tools in data science, but while there are a lot of well-written descriptions of the Bayesian tracking technique available online and in technical books/articles, for some reason it’s hard to find a simple derivation of the Kalman Filter from first principles. In this short note, I show how … More A Derivation of the Kalman Filter

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Updates on my research and expository papers, discussion of open problems, and other maths-related topics. By Terence Tao

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