Nonparametric Estimation for I.I.D. Paths of Fractional SDE

Fuente: arXiv
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Autori principali: Comte, Fabienne, Marie, Nicolas
Natura: Preprint
Pubblicazione: 2020
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author Comte, Fabienne
Marie, Nicolas
author_facet Comte, Fabienne
Marie, Nicolas
contents This paper deals with nonparametric estimators of the drift function $b$ computed from independent continuous observations, on a compact time interval, of the solution of a stochastic differential equation driven by the fractional Brownian motion (fSDE). First, a risk bound is established on a Skorokhod's integral based least squares oracle $\widehat b$ of $b$. Thanks to the relationship between the solution of the fSDE and its derivative with respect to the initial condition, a risk bound is deduced on a calculable approximation of $\widehat b$. Another bound is directly established on an estimator of $b'$ for comparison. The consistency and rates of convergence are established for these estimators in the case of the compactly supported trigonometric basis or the $\mathbb R$-supported Hermite basis.
format Preprint
id arxiv_https___arxiv_org_abs_2004_03417
institution arXiv
publishDate 2020
record_format arxiv
spellingShingle Nonparametric Estimation for I.I.D. Paths of Fractional SDE
Comte, Fabienne
Marie, Nicolas
Statistics Theory
This paper deals with nonparametric estimators of the drift function $b$ computed from independent continuous observations, on a compact time interval, of the solution of a stochastic differential equation driven by the fractional Brownian motion (fSDE). First, a risk bound is established on a Skorokhod's integral based least squares oracle $\widehat b$ of $b$. Thanks to the relationship between the solution of the fSDE and its derivative with respect to the initial condition, a risk bound is deduced on a calculable approximation of $\widehat b$. Another bound is directly established on an estimator of $b'$ for comparison. The consistency and rates of convergence are established for these estimators in the case of the compactly supported trigonometric basis or the $\mathbb R$-supported Hermite basis.
title Nonparametric Estimation for I.I.D. Paths of Fractional SDE
topic Statistics Theory
url https://arxiv.org/abs/2004.03417