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20072026
most citedParameter Estimation for Fractional Ornstein-Uhlenbeck Processes: Non-ergodic Case

57 citations · 90 across the 23 of their papers we have counts for

collaborators

31 papers

math.PR2026

New Berry-Esseen bounds for parameter estimation of Gaussian processes observed at high frequency

Khalifa Es-Sebaiy, Yong Chen

The purpose of this paper is to estimate the limiting variance of asymptotically stationary Gaussian processes observed at high frequency, using the second moment estimator (SME).…

math.PR2024

A quantitative CLT on a finite sum of Wiener chaoses and applications to ratios of Gaussian functionals

Khalifa Es-Sebaiy

In this paper we provide a new explicit bound on the total variation distance between a standardized partial sum of random variables belonging to a finite sum of Wiener chaoses and…

math.PR2023

New Kolmogorov bounds in the CLT for random ratios and applications

Khalifa Es-Sebaiy, Fares Alazemi

We develop techniques for determining an explicit Berry-Esseen bound in the Kolmogorov distance for the normal approximation of a ratio of Gaussian functionals. We provide an upper…

math.ST2022

Wasserstein bounds in CLT of approximative MCE and MLE of the drift parameter for Ornstein-Uhlenbeck processes observed at high frequency

Khalifa Es-Sebaiy, Fares Alazemi, Mishari Al-Foraih

This paper deals with the rate of convergence for the central limit theorem of estimators of the drift coefficient, denoted , for a Ornstein-Uhlenbeck process $X \coloneqq \{X_t…

math.PR2021

Asymptotics of Yule's nonsense correlation for Ornstein-Uhlenbeck paths: a Wiener chaos approach

Soukaina Douissi, Frederi G. Viens, Khalifa Es-Sebaiy

In this paper, we study the distribution of the so-called "Yule's nonsense correlation statistic" on a time interval for a time horizon , when is large, for a pai…

math.PR2021

Gaussian and Hermite Ornstein-Uhlenbeck processes

Khalifa Es-Sebaiy

In the present paper we study the asymptotic behavior of the auto-covariance function for Ornstein-Uhlenbeck (OU) processes driven by Gaussian noises with stationary and non-statio…