960 on the Asymptotics of Constrained Local

نویسنده

  • Alexander Shapiro
چکیده

We discuss in this paper asymptotics of locally optimal solutions of maximum likelihood and, more generally,M-estimation procedures in cases where the true value of the parameter vector lies on the boundary of the parameter set S. We give a counterexample showing that regularity of S in the sense of Clarke is not sufficient for asymptotic equivalence of √ n-consistent locally optimal M-estimators. We argue further that stronger properties, such as so-called near convexity or prox-regularity of S are required in order to ensure that any two √ n-consistent locally optimal M-estimators have the same asymptotics.

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تاریخ انتشار 2000