On a Computable Skorokhod's Integral Based Estimator of the Drift Parameter in Fractional SDE

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1. Verfasser: Marie, Nicolas
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Veröffentlicht: 2023
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author Marie, Nicolas
author_facet Marie, Nicolas
contents This paper deals with a Skorokhod's integral based least squares type estimator $\widehatθ_N$ of the drift parameter $θ_0$ computed from $N\in\mathbb N^*$ (possibly dependent) copies $X^1,\dots,X^N$ of the solution $X$ of $dX_t =θ_0b(X_t)dt +σdB_t$, where $B$ is a fractional Brownian motion of Hurst index $H\in (1/3,1)$. On the one hand, some convergence results are established on $\widehatθ_N$ when $H = 1/2$. On the other hand, when $H\neq 1/2$, Skorokhod's integral based estimators as $\widehatθ_N$ cannot be computed from data, but in this paper some convergence results are established on a computable approximation of $\widehatθ_N$.
format Preprint
id arxiv_https___arxiv_org_abs_2301_05341
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle On a Computable Skorokhod's Integral Based Estimator of the Drift Parameter in Fractional SDE
Marie, Nicolas
Statistics Theory
Probability
This paper deals with a Skorokhod's integral based least squares type estimator $\widehatθ_N$ of the drift parameter $θ_0$ computed from $N\in\mathbb N^*$ (possibly dependent) copies $X^1,\dots,X^N$ of the solution $X$ of $dX_t =θ_0b(X_t)dt +σdB_t$, where $B$ is a fractional Brownian motion of Hurst index $H\in (1/3,1)$. On the one hand, some convergence results are established on $\widehatθ_N$ when $H = 1/2$. On the other hand, when $H\neq 1/2$, Skorokhod's integral based estimators as $\widehatθ_N$ cannot be computed from data, but in this paper some convergence results are established on a computable approximation of $\widehatθ_N$.
title On a Computable Skorokhod's Integral Based Estimator of the Drift Parameter in Fractional SDE
topic Statistics Theory
Probability
url https://arxiv.org/abs/2301.05341