Weak invariance principles for sums of dependent random functions

被引:38
|
作者
Berkes, Istvan [1 ]
Horvath, Lajos [2 ]
Rice, Gregory [2 ]
机构
[1] Graz Univ Technol, Inst Stat, A-8010 Graz, Austria
[2] Univ Utah, Dept Math, Salt Lake City, UT 84112 USA
基金
美国国家科学基金会; 奥地利科学基金会;
关键词
Variables in Hilbert spaces; m-approximability; Weak convergence; VALUED RANDOM-VARIABLES; CENTRAL-LIMIT-THEOREM; STATIONARY-PROCESSES; MOMENT; SPACE;
D O I
10.1016/j.spa.2012.10.003
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
Motivated by problems in functional data analysis, in this paper we prove the weak convergence of normalized partial sums of dependent random functions exhibiting a Bernoulli shift structure. (C) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:385 / 403
页数:19
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