高斯Volterra过程:渐近增长与统计估计

IF 0.4 Q4 STATISTICS & PROBABILITY Theory of Probability and Mathematical Statistics Pub Date : 2023-02-07 DOI:10.1090/tpms/1190
Y. Mishura, K. Ralchenko, S. Shklyar
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引用次数: 0

摘要

本文研究了推广分数布朗运动的三个参数自相似高斯-Volterra过程。我们研究了这类过程的渐近增长和长短程依赖性的性质。然后,我们考虑高斯-Volterra过程驱动的Ornstein–Uhlenbeck过程的漂移参数估计问题。我们构造了一个强一致估计量,并研究了它的渐近性质。也就是说,我们证明了它具有柯西渐近分布。
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Gaussian Volterra processes: Asymptotic growth and statistical estimation
The paper is devoted to three-parametric self-similar Gaussian Volterra processes that generalize fractional Brownian motion. We study the asymptotic growth of such processes and the properties of long- and short-range dependence. Then we consider the problem of the drift parameter estimation for Ornstein–Uhlenbeck process driven by Gaussian Volterra process under consideration. We construct a strongly consistent estimator and investigate its asymptotic properties. Namely, we prove that it has the Cauchy asymptotic distribution.
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CiteScore
1.30
自引率
0.00%
发文量
22
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