{{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]]: A '''Recursive Bayesian Estimation''', also known as a '''Bayes Filter''', is a general probabilistic approach for [[density estimation|estimating]] an unknown [[probability density function]] 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]].
