Recursive Bayesian estimation: Difference between revisions

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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|probability theory]], [[statistics]], and [[Machine Learning|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 Statisticsstatistics]].

==In robotics==