  The asymptotic normality of the Maximum Likelihood Estimator (MLE) is a long
established result. Explicit bounds for the distributional distance between the
distribution of the MLE and the normal distribution have recently been obtained
for the case of independent random variables. In this paper, a local dependence
structure is introduced between the random variables and we give upper bounds
which are specified for the Wasserstein metric.
