The Asymptotically Unbiased Prior Distribution

In estimation of a real valued parameter, using observations from the probability density f (x), and using loss function L (, ), the prior density which minimizes asymptotic bias of the associated estimator is shown to be J () = ( (/) f) ²/ (²/²) L (, ) ^1{2} =. Results are also given for estimation in higher dimensions.