Randomized limit theorems for stationary ergodic random processes and fields

被引:0
|
作者
Davydov, Youri [1 ,2 ]
Tempelman, Arkady [3 ,4 ]
机构
[1] Lille Univ, Dept Math, Lille, France
[2] St Petersburg State Univ, Fac Math & Comp Sci, St Petersburg, Russia
[3] Penn State Univ, Dept Math, University PK, PA 16802 USA
[4] Penn State Univ, Dept Stat, University Pk, PA 16802 USA
关键词
Central limit theorem; Stationary random process; Homogeneous random fields; Invariance principle; Glivenko-Cantelli theorem; Brownian bridge; Empirical processes; Randomization; CONVERGENCE; SEQUENCES;
D O I
10.1016/j.spa.2024.104380
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Using the randomization approach, introduced by A. Tempelman in Randomized multivariate central limit theorems for ergodic homogeneous random fields, Stochastic Processes and their Applications. 143 (2022), 89-105, we prove: (a) a randomized version of the invariance principle (the functional CLT); (b) a version the Glivenko-Cantelli theorem; (c) a randomized theorem about convergence of empirical processes to the Brownian bridge. We also weaken the moment condition in the randomized CLTs, proved in the mentioned article. The main point of our work is that most of our theorems are valid for all ergodic homogeneous random fields on Z m and R m , m >= 1 .
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页数:20
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