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Exact filtering in exponential families:discrete time
Authors:Günther Sawitzki
Affiliation:Günther Sawitzki , Mathematisches Institut, Ruhr-Universit?t , Bochum, D-4630, BRD
Abstract:An exact filter is an algorithm for calculating the a-posteriori distribution of the state ξ n of a process, given observations ηt, …,ηnup to time n. We describe a method to determine an appropriate algorithm for processes, where the distributions involved are members of exponential families, The resulting algorithm consists essen tially of a prediction term, combined with an affine transformation depending on the chosen model.
Keywords:Filtering  Bayesian inference  exponential families  transitive statistics
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