Abstract
For multiparameter exponential models a short and direct proof is given that the maximum likelihood estimator is a maximum probability estimator with respect to a certain sequence of convex and bounded sets inR(k) that are symmetric about the origin; asymptotically these sets are allowed to be unbounded.
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