LIMIT THEOREMS FOR AGGREGATED LINEAR PROCESSES

被引:8
作者
Jirak, M. [1 ]
机构
[1] Graz Univ Technol, A-8010 Graz, Austria
关键词
Aggregation; short memory; long memory; invariance principle; random coefficient MA(infinity); martingale decomposition; LONG-MEMORY PROCESSES; STATIONARY-PROCESSES; DYNAMIC-MODELS; CONTEMPORANEOUS AGGREGATION; DISAGGREGATION SCHEME; ORNSTEIN-UHLENBECK; CONVERGENCE; FUNCTIONALS; VOLATILITY; INEQUALITY;
D O I
10.1239/aap/1370870128
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 develop an asymptotic theory of aggregated linear processes, and determine in particular the limit distribution of a large class of linear and nonlinear functionals of such processes. Given a sample {Y-1((N)),...,Y-n((N))} of the normalized N-fold aggregated process, we describe the limiting behavior of statistics T-N,T-n = T-N,T-n(Y-1((N)),...Y-n((N))) in both of the cases n/N (n) -> 0 and N(n)/n -> 0, assuming either a 'limiting long- or short-memory' condition on the underlying linear process.
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页码:520 / 544
页数:25
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