Reduction principles for quantile and Bahadur-Kiefer processes of long-range dependent linear sequences

被引:8
作者
Csorgo, Miklos [2 ]
Kulik, Rafal [1 ,3 ]
机构
[1] Univ Sydney, Sch Math & Stat, Sydney, NSW 2006, Australia
[2] Carleton Univ, Sch Math & Stat, Ottawa, ON K1S 5B6, Canada
[3] Univ Wroclaw, Math Inst, PL-50384 Wroclaw, Poland
关键词
long range dependence; linear processes; Bahadur-Kiefer process; quantile processes; strong approximation;
D O I
10.1007/s00440-007-0107-9
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
In this paper we consider quantile and Bahadur-Kiefer processes for long range dependent linear sequences. These processes, unlike in previous studies, are considered on the whole interval (0, 1). As it is well-known, quantile processes can have very erratic behavior on the tails. We overcome this problem by considering these processes with appropriate weight functions. In this way we conclude strong approximations that yield some remarkable phenomena that are not shared with i.i.d. sequences, including weak convergence of the Bahadur-Kiefer processes, a different pointwise behavior of the general and uniform Bahadur-Kiefer processes, and a somewhat "strange" behavior of the general quantile process.
引用
收藏
页码:339 / 366
页数:28
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