Convergence rate of CLT for the drift estimation of sub-fractional Ornstein–Uhlenbeck process of second kind

In this paper, we deal with an Ornstein–Uhlenbeck process driven by sub-fractional Brownian motion of the second kind with Hurst index $H\in (\frac{1}{2},1)$. We provide a least squares estimator (LSE) of the drift parameter based on continuous-time observations. The strong consistency and the upper...

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Main Authors: Maoudo Faramba Baldé, Khalifa Es-Sebaiy
Format: Article
Language:English
Published: VTeX 2021-05-01
Series:Modern Stochastics: Theory and Applications
Subjects:
Online Access:https://www.vmsta.org/doi/10.15559/21-VMSTA179
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author Maoudo Faramba Baldé
Khalifa Es-Sebaiy
author_facet Maoudo Faramba Baldé
Khalifa Es-Sebaiy
author_sort Maoudo Faramba Baldé
collection DOAJ
description In this paper, we deal with an Ornstein–Uhlenbeck process driven by sub-fractional Brownian motion of the second kind with Hurst index $H\in (\frac{1}{2},1)$. We provide a least squares estimator (LSE) of the drift parameter based on continuous-time observations. The strong consistency and the upper bound $O(1/\sqrt{n})$ in Kolmogorov distance for central limit theorem of the LSE are obtained. We use a Malliavin–Stein approach for normal approximations.
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spelling doaj.art-d678151dbcc3446f9161c4345cc89cdb2022-12-21T23:29:17ZengVTeXModern Stochastics: Theory and Applications2351-60462351-60542021-05-018332934710.15559/21-VMSTA179Convergence rate of CLT for the drift estimation of sub-fractional Ornstein–Uhlenbeck process of second kindMaoudo Faramba Baldé0Khalifa Es-Sebaiy1Cheikh Anta Diop University, Dakar, SenegalDepartment of Mathematics, Faculty of Science, Kuwait University, KuwaitIn this paper, we deal with an Ornstein–Uhlenbeck process driven by sub-fractional Brownian motion of the second kind with Hurst index $H\in (\frac{1}{2},1)$. We provide a least squares estimator (LSE) of the drift parameter based on continuous-time observations. The strong consistency and the upper bound $O(1/\sqrt{n})$ in Kolmogorov distance for central limit theorem of the LSE are obtained. We use a Malliavin–Stein approach for normal approximations.https://www.vmsta.org/doi/10.15559/21-VMSTA179Sub-fractional Ornstein–Uhlenbeck process of second kindleast squares estimatorBerry–Esséen boundMalliavin–Stein approach for normal approximations
spellingShingle Maoudo Faramba Baldé
Khalifa Es-Sebaiy
Convergence rate of CLT for the drift estimation of sub-fractional Ornstein–Uhlenbeck process of second kind
Modern Stochastics: Theory and Applications
Sub-fractional Ornstein–Uhlenbeck process of second kind
least squares estimator
Berry–Esséen bound
Malliavin–Stein approach for normal approximations
title Convergence rate of CLT for the drift estimation of sub-fractional Ornstein–Uhlenbeck process of second kind
title_full Convergence rate of CLT for the drift estimation of sub-fractional Ornstein–Uhlenbeck process of second kind
title_fullStr Convergence rate of CLT for the drift estimation of sub-fractional Ornstein–Uhlenbeck process of second kind
title_full_unstemmed Convergence rate of CLT for the drift estimation of sub-fractional Ornstein–Uhlenbeck process of second kind
title_short Convergence rate of CLT for the drift estimation of sub-fractional Ornstein–Uhlenbeck process of second kind
title_sort convergence rate of clt for the drift estimation of sub fractional ornstein uhlenbeck process of second kind
topic Sub-fractional Ornstein–Uhlenbeck process of second kind
least squares estimator
Berry–Esséen bound
Malliavin–Stein approach for normal approximations
url https://www.vmsta.org/doi/10.15559/21-VMSTA179
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