Local asymptotic minimax risk bounds in a locally asymptotically mixture of normal experiments under asymmetric loss
Abstract
Local asymptotic minimax risk bounds in a locally asymptotically mixture of normal family of distributions have been investigated under asymmetric loss functions and the asymptotic distribution of the optimal estimator that attains the bound has been obtained.
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