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Asymptotically Efficient Sequential Kernel Estimates of the Drift Coefficient in Ergodic Diffusion Processes
Authors:L. Galtchouk  S. Pergamenshchikov
Affiliation:(1) IRMA, Département de Mathématiques, Université de Strasbourg, 7 rue Réne Descartes, Strasbourg, Cedex, France;(2) Laboratoire de Mathématiques Raphael Salem, UMR CNRS 6085, Site Colbert, UFR Sciences, Université de Rouen, F76 821 Mont St Aignan, Cedex, France
Abstract:A sequential asymptotically efficient procedure is constructed for estimating the drift coefficient at a given state point in ergodic diffusion processes. Sequential kernel estimators are used. The optimal convergence rate with the sharp constant is given for a local minimax risk.
Keywords:nonparametric sequential estimation  minimax  drift  ergodic diffusion process  efficient procedure
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