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The method is named:
;filtering: when we estimate the ''current'' value given past and current observations,
;[[smoothing]]: when estimating ''past'' values given present and past measures, and
;prediction: when estimating a probable ''future'' value given the present and the past measures.
The notion of Sequential Bayesian filtering is extensively used in [[control theory|control]] and [[robotics]].
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