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A lower bound on the minimal mean-square error in estimating nonlinear Markov processes is presented. The bound holds for causal and uncausal filtering. The derivation is based on the Van Trees' version of the Cramér-Rao inequality.
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Bobrovsky et al. (1975) studied this question.
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