A Bayesian Estimation Bound based on the Optimal Bias Function

Abstract

We consider the problem of finding a lower bound on the minimum mean-squared error in a Bayesian estimation problem. The bound of Young and Westerberg, which is based on determining the optimal bias function, is extended to the case of a vector parameter. A numerical study demonstrates that the bound is both tighter and simpler to compute than alternative techniques.