具有锥形数据的平稳线性模型的统计推断

IF 11 Q1 STATISTICS & PROBABILITY Statistics Surveys Pub Date : 2021-01-01 DOI:10.1214/21-ss134
M. Ginovyan, A. A. Sahakyan
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引用次数: 0

摘要

本文综述了近年来关于具有锥形数据的平稳模型谱的统计推断(参数和非参数统计估计、假设检验)的一些研究成果。讨论了关于锥形Toeplitz矩阵和算子、锥形Toeplitz型二次泛函的中心极限定理、锥形Fej′er型核和奇异积分等问题。这些是获得相应结果的主要工具,也是它们本身感兴趣的。考虑的过程将是离散时间和连续时间高斯,线性或L´evy驱动的线性过程。
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Statistical inference for stationary linear models with tapered data
: In this paper, we survey some recent results on statistical infer- ence (parametric and nonparametric statistical estimation, hypotheses testing) about the spectrum of stationary models with tapered data. We also discuss some questions concerning tapered Toeplitz matrices and operators, central limit theorems for tapered Toeplitz type quadratic functionals, and tapered Fej´er-type kernels and singular integrals. These are the main tools for obtaining the corresponding results, and also are of interest in them- selves. The processes considered will be discrete-time and continuous-time Gaussian, linear or L´evy-driven linear processes with memory.
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来源期刊
Statistics Surveys
Statistics Surveys STATISTICS & PROBABILITY-
CiteScore
11.70
自引率
0.00%
发文量
5
期刊介绍: Statistics Surveys publishes survey articles in theoretical, computational, and applied statistics. The style of articles may range from reviews of recent research to graduate textbook exposition. Articles may be broad or narrow in scope. The essential requirements are a well specified topic and target audience, together with clear exposition. Statistics Surveys is sponsored by the American Statistical Association, the Bernoulli Society, the Institute of Mathematical Statistics, and by the Statistical Society of Canada.
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