We consider the problem of semiparametric estimation of functionals of the drift coefficient of a dynamical system by the observation of a non homogeneous diffusion process with small diffusion coefficient. Supposing that the drift coefficient is an unknown (smooth) function we propose a asymptotic minimax lower bound on the risk of all estimators and then we present asymptotically efficient estimators in the sense of this bound. The estimated integral-type functionals are defined with the help of the (unknown) solution of the deterministic limit dynamical system. Some particular and interesting functionals are presented as examples.

Semiparametric estimation of a functional of the drift coefficient for a non-homogeneous dynamical system with small noise / S.M. Iacus. - In: JOURNAL OF NONPARAMETRIC STATISTICS. - ISSN 1048-5252. - 13:1(2001), pp. 129-151. [10.1080/10485250008832846]

Semiparametric estimation of a functional of the drift coefficient for a non-homogeneous dynamical system with small noise

S.M. Iacus
Primo
2001

Abstract

We consider the problem of semiparametric estimation of functionals of the drift coefficient of a dynamical system by the observation of a non homogeneous diffusion process with small diffusion coefficient. Supposing that the drift coefficient is an unknown (smooth) function we propose a asymptotic minimax lower bound on the risk of all estimators and then we present asymptotically efficient estimators in the sense of this bound. The estimated integral-type functionals are defined with the help of the (unknown) solution of the deterministic limit dynamical system. Some particular and interesting functionals are presented as examples.
Settore SECS-S/01 - Statistica
2001
Article (author)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/43668
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