Asymptotic Expansions for Perturbed Systems on Wiener Space: Maximum Likelihood Estimators

By means of the Malliavin Calculus, we derive asymptotic expansion of the probability distributions of statistics for systems perturbed by small noises. These results are applied to the problem of the second order asymptotic efficiency of the maximum likelihood estimator.