Recursive Bayesian estimation: Difference between revisions

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m Acronym PDF used in page, but not defined. Added definition at appropriate position. Clarity is important because of the more-common use of the acronym PDF (Portable Document Format)
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{{About|Bayes filter, a general probabilistic approach|the spam filter with a similar name|Naive Bayes spam filtering}}
 
In [[Probability Theory]], [[Statistics]], and [[Machine Learning]]: '''Recursive Bayesian Estimation''', also known as a '''Bayes Filter''', is a general probabilistic approach for [[density estimation|estimating]] an unknown [[probability density function]] ([[probability density function|PDF]]) recursively over time using incoming measurements and a mathematical process model. The process relies heavily upon mathematical concepts and models that are theorized within a study of prior and posterior probabilities known as [[Bayesian Statistics]].
 
==In robotics==