On the Efficiency of a Class of Maximum Entropy Estimators

Let P be a family of probability measures and let P0∊P. A classical problem of statistical inference is the estimation of an euclidean parameter v (P0) when n indepedent and identically distributed (iid) observations from P0 are available.