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Nonparametric estimation of the drift coefficient in the diffusion equation 

Author: Pham Dinh Tuan a
Affiliation:   a Mathegravematiques Appliquegravees, Universitegrave de Grenoble, France
DOI: 10.1080/02331888108801571
Publication Frequency: 6 issues per year
Published in: journal Statistics, Volume 12, Issue 1 1981 , pages 61 - 73
Formats available: PDF (English)
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Abstract

A class of nonparametric estimators of the drift coefficient in the Ito diffusion equation, and the related estimators of the nonlinear regression function of a Markov sequence is considered. The estimates are shown to be weakly consistent and asymptotically normal, and estimates at different location points are shown to be asymptotically independent. A study of the asymptotic bias of the estimates is also included.
Keywords: Asymptotic normality; diffusion equation; stochastic integrals; recursive estimation; weak consistency
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