Abstract:
Advice is given on choice of structure for conditionally optimal filters to be used in estimation of processes that are described by stochastic differential equations. The conditionally optimal filters have to implement the optimal nonlinear filtering equations obtained in papers on estimation of diffusional Markovian processes. Algorithms are described whereby the factors which optimize the operation of such filters are calculated.
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