A weak law of large numbers for a class of nonstationary but stabilizing vector arma processes with one unit root

被引:0
|
作者
Tsao, HSJ [1 ]
机构
[1] UNIV CALIF BERKELEY,INST TRANSPORTAT STUDIES,BERKELEY,CA 94720
关键词
D O I
10.1080/07362999608809444
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper identifies a class of non-stationary vector ARMA processes with one unit characteristic root that can be used to model multiple time series that stablize together. Analysis of ARMA processes with unit roots is generally more difficult because of their probabilistic properties. In particular, general theory of law of large numbers and central limit theory do not apply to standardized sums of the realizations of these processes. However, this paper establishes a weak law of large numbers for a useful class of such processes.
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页码:369 / 382
页数:14
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