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- W28717735 abstract "The estimation problem of the false alarm probability from uncertain observations is addressed from a bayesian viewpoint. Considering successive approximations of mixture distributions, approximations of the a posteriori densities of the unknown probability are obtained from an arbitrary a priori distribution. Then, by taking a Beta as a priori distribution, a recursive algorithm that provides approximations for the Bayes estimators of the false alarm probability is deduced. The estimators do not use the state-space model, but only covariance information about the processes involved in the observation equation, as well as the a priori distribution." @default.
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- W28717735 date "2006-02-06" @default.
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- W28717735 title "Recursive estimation of the false alarm probablility using approximations of mixtures" @default.
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