Bayesian and minimax estimators of loss

Christine Allard, Éric Marchand

We study the problem of loss estimation that involves for an observable $X\sim f_{\theta }$ the choice of a first-stage estimator $\hat{\gamma }$ of $\gamma (\theta )$, incurred loss $L=L(\theta ,\hat{\gamma })$, and the…