An invariance principle for stationary random fields under Hannan's condition

被引:22
作者
Volny, Dalibor [1 ]
Wang, Yizao [2 ]
机构
[1] Univ Rouen, Lab Math Raphael Salem, F-76801 St Etienne, France
[2] Univ Cincinnati, Dept Math Sci, Cincinnati, OH 45221 USA
关键词
Invariance principle; Brownian sheet; Random field; Orthomartingale; Hannan's condition; Weak dependence; CENTRAL-LIMIT-THEOREM; CRITERIA;
D O I
10.1016/j.spa.2014.07.015
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
We establish an invariance principle for a general class of stationary random fields indexed by Z(d), under Hannan's condition generalized to Z(d). To do so we first establish a uniform integrability result for stationary orthomartingales, and second we establish a coboundary decomposition for certain stationary random fields. At last, we obtain an invariance principle by developing an orthomartingale approximation. Our invariance principle improves known results in the literature, and particularly we require only finite second moment. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:4012 / 4029
页数:18
相关论文
共 26 条
[21]  
NAHAPETIAN B, 1995, CR ACAD SCI I-MATH, V320, P1539
[22]   Central limit theorem for stationary linear processes [J].
Peligrad, Magda ;
Utev, Sergey .
ANNALS OF PROBABILITY, 2006, 34 (04) :1608-1622
[23]   Invariance principle for martingale-difference random fields [J].
Poghosyan, S ;
Roelly, S .
STATISTICS & PROBABILITY LETTERS, 1998, 38 (03) :235-245
[24]   APPROXIMATING MARTINGALES AND THE CENTRAL-LIMIT-THEOREM FOR STRICTLY STATIONARY-PROCESSES [J].
VOLNY, D .
STOCHASTIC PROCESSES AND THEIR APPLICATIONS, 1993, 44 (01) :41-74
[25]  
Wang Y., STAT SINICA, V23
[26]   Nonlinear system theory: Another look at dependence [J].
Wu, WB .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2005, 102 (40) :14150-14154