Joint temporal and contemporaneous aggregation of random-coefficient AR(1) processes

被引:26
作者
Pilipauskaite, Vytaute [1 ]
Surgailis, Donatas [1 ]
机构
[1] Vilnius Univ, Inst Math & Informat, LT-08663 Vilnius, Lithuania
关键词
Aggregation; Random-coefficient AR(1) process; Long memory; Intermediate scaling; Asymptotic self-similarity; Poisson stochastic integral; FRACTIONAL BROWNIAN-MOTION; RENEWAL-REWARD PROCESSES; CONVERGENCE; MEMORY;
D O I
10.1016/j.spa.2013.10.004
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 discuss joint temporal and contemporaneous aggregation of N independent copies of AR(1) process with random-coefficient a epsilon [0, 1) when N and time scale n increase at different rate. Assuming that a has a density, regularly varying at a = 1 with exponent -1 < beta < 1, different joint limits of normalized aggregated partial sums are shown to exist when N1/(1+beta)/n tends to (i) infinity, (ii) 0, (iii) 0 < mu < infinity. The limit process arising under (iii) admits a Poisson integral representation on (0, infinity) x C(R) and enjoys 'intermediate' properties between fractional Brownian motion limit in (i) and sub-Gaussian limit in (ii). (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:1011 / 1035
页数:25
相关论文
共 31 条
[1]  
Barndorff-Nielsen OE, 2000, THEOR PROBAB APPL+, V45, P175
[2]  
Beran J., 2013, Long-Memory Processes: Probabilistic Properties and Statistical Methods
[3]   Time series aggregation, disaggregation, and long memory [J].
Celov, D. ;
Leipus, R. ;
Philippe, A. .
LITHUANIAN MATHEMATICAL JOURNAL, 2007, 47 (04) :379-393
[4]   The on-off network traffic model under intermediate scaling [J].
Dombry, Clement ;
Kaj, Ingemar .
QUEUEING SYSTEMS, 2011, 69 (01) :29-44
[5]  
Feller W., 1966, An introduction to probability theory and its applications, V2
[6]   A Poisson bridge between fractional Brownian motion and stable Levy motion [J].
Gaigalas, R .
STOCHASTIC PROCESSES AND THEIR APPLICATIONS, 2006, 116 (03) :447-462
[7]   Convergence of scaled renewal processes and a packet arrival model [J].
Gaigalas, R ;
Kaj, I .
BERNOULLI, 2003, 9 (04) :671-703
[8]  
Goncalves E., 1988, ANN EC STAT, V12, P127
[9]   LONG MEMORY RELATIONSHIPS AND THE AGGREGATION OF DYNAMIC-MODELS [J].
GRANGER, CWJ .
JOURNAL OF ECONOMETRICS, 1980, 14 (02) :227-238
[10]  
Ibragimov I. A., 1971, Independent and Stationary Sequences of Random Variables