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In many practical applications of statistical signal processing, the likelihood functions are only partially known. The measurement model in this case is affected by two sources of uncertainty: stochastic uncertainty and imprecision. Following the framework of random set theory , the paper presents the optimal Bayesian estimator for this problem. The resulting Bayes estimator in general has no analytic...
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