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arXiv:2504.01562 (math)
[Submitted on 2 Apr 2025 ]

Title: Asymptotic analysis of the finite predictor for the fractional Gaussian noise

Title: 分数高斯噪声有限预测器的渐近分析

Authors:P. Chigansky, M. Kleptsyna
Abstract: The goal of this paper is to propose a new approach to asymptotic analysis of the finite predictor for stationary sequences. It produces the exact asymptotics of the relative prediction error and the partial correlation coefficients. The assumptions are analytic in nature and applicable to processes with long range dependence. The ARIMA type process driven by the fractional Gaussian noise (fGn), which previously remained elusive, serves as our study case.
Abstract: 本文的目的是提出一种新的方法来分析平稳序列有限预测器的渐近性。这种方法能够得出相对预测误差和偏相关系数的确切渐近性。假设条件本质上是解析性的,并且适用于具有长程依赖性的过程。以前难以捉摸的由分数高斯噪声(fGn)驱动的ARIMA型过程作为我们的研究案例。
Subjects: Statistics Theory (math.ST) ; Probability (math.PR)
Cite as: arXiv:2504.01562 [math.ST]
  (or arXiv:2504.01562v1 [math.ST] for this version)
  https://doi.org/10.48550/arXiv.2504.01562
arXiv-issued DOI via DataCite

Submission history

From: Pavel Chigansky [view email]
[v1] Wed, 2 Apr 2025 10:03:53 UTC (43 KB)
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