Answers are grounded in this paper and cite their sources.
We investigate drift estimation in a fractional Ornstein-Uhlenbeck process, suggesting potential advancements in statistical methods.
We investigate the problem of estimation of the drift parameter θ of the fractional Ornstein-Uhlenbeck process dXt=θXtdt+ϵdZtq,H,X0=x0,0≤t≤1, where the process {Ztq,H,0≤t≤1} is a Hermite process and ϵ is a small noise. We study the asymptotic properties of the minimum L1-norm estimator θϵ∗=argminθ∫01|Xt−xt(θ)|dt as ϵ→0. Here xt(θ)=x0exp{θt}. We prove that the estimator is consistent and that the random variable ϵ−1(θϵ∗−θ) has a limiting distribution as ϵ→0.
No takes yet. Share an insight, caveat, or question.
Б. Л. С. Пракаса Рао (2026) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: