Functional Convergence of Linear Processes with Heavy-Tailed Innovations

被引:13
作者
Balan, Raluca [1 ]
Jakubowski, Adam [2 ]
Louhichi, Sana [3 ]
机构
[1] Univ Ottawa, Dept Math & Stat, 585 King Edward Ave, Ottawa, ON K1N 6N5, Canada
[2] Nicholas Copernicus Univ, Fac Math & Comp Sci, Chopina 12-18, PL-87100 Torun, Poland
[3] Inst Math Appl Grenoble, Lab Jean Kuntzmann, 51 Rue Math, F-38041 Grenoble 9, France
基金
加拿大自然科学与工程研究理事会;
关键词
Limit theorems; Functional convergence; Stable processes; Linear processes; RANDOM-VARIABLES; WEAK-CONVERGENCE; MOVING AVERAGES; LIMIT-THEOREM; DOMAIN; SUMS;
D O I
10.1007/s10959-014-0581-9
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
We study convergence in law of partial sums of linear processes with heavy-tailed innovations. In the case of summable coefficients, necessary and sufficient conditions for the finite dimensional convergence to an -stable L,vy Motion are given. The conditions lead to new, tractable sufficient conditions in the case . In the functional setting, we complement the existing results on -convergence, obtained for linear processes with nonnegative coefficients by Avram and Taqqu (Ann Probab 20:483-503, 1992) and improved by Louhichi and Rio (Electr J Probab 16(89), 2011), by proving that in the general setting partial sums of linear processes are convergent on the Skorokhod space equipped with the topology, introduced by Jakubowski (Electr J Probab 2(4), 1997).
引用
收藏
页码:491 / 526
页数:36
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