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Bayesian estimation with other loss functions than the standard hit-or-miss loss or the quadratic loss often yields optimal Bayesian estimators (OBEs) that can only be formulated as optimization problems and which have to be solved for each new observation. The contribution of this paper is to introduce a new parametric family of estimators to circumvent this problem. By restricting the estimator...
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