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arXiv 2102.00343math.PR
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平稳过程Toeplitz型二次泛函的极限定理及其应用综述

A Survey on Limit Theorems for Toeplitz Type Quadratic Functionals of Stationary Processes and Applications

Mamikon S. Ginovyan, Murad S. Taqqu

摘要:

本文综述了平稳过程的二次泛函的中心极限定理和非中心极限定理的最新结果。基本的过程是高斯的,线性的或列维驱动的线性过程与记忆,并定义在离散或连续的时间。本文主要研究平稳过程的Toeplitz型二次泛函和锥形Toeplitz型二次泛函的极限定理及其在参数和非参数统计估计理论中的应用。我们讨论了Toeplitz矩阵和算子、Fejér型奇异积分、Lévy-Itô型和Stratonovich型多重随机积分等问题。这些是获得极限定理的主要工具。

英文摘要:

This is a survey of recent results on central and non-central limit theorems for quadratic functionals of stationary processes. The underlying processes are Gaussian, linear or Lévy-driven linear processes with memory, and are defined either in discrete or continuous time. We focus on limit theorems for Toeplitz and tapered Toeplitz type quadratic functionals of stationary processes with applications in parametric and nonparametric statistical estimation theory. We discuss questions concerning Toeplitz matrices and operators, Fejér-type singular integrals, and Lévy-Itô-type and Stratonovich-type multiple stochastic integrals. These are the main tools for obtaining limit theorems.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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