Improved nonparametric estimation of the drift in diffusion processes

Published 10 Oct 2017 in math.ST and stat.TH | (1710.03550v1)

Abstract: In this paper, we consider the robust adaptive non parametric estimation problem for the drift coefficient in diffusion processes. An adaptive model selection procedure, based on the improved weighted least square estimates, is proposed. Sharp oracle inequalities for the robust risk have been obtained.

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