Local asymptotic minimax risk bounds in a locally asymptotically mixture of normal experiments under asymmetric loss
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.