Moving-average representation of autoregressive approximations

被引:32
|
作者
Buhlmann, P
机构
[1] Department of Statistics, University of California, Berkeley, CA 94720, Evans Hall
关键词
AR(infinity); causal; complex analysis; impulse response function; invertible; linear process; MA(infinity); mixing; time series; transfer function; stationary process;
D O I
10.1016/0304-4149(95)00061-5
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 the properties of an MA(infinity)-representation of an autoregressive approximation for a stationary, real-valued process. In doing so we give an extension of Wiener's theorem in the deterministic approximation setup. When dealing with data, we can use this new key result to obtain insight into the structure of MA(infinity)-representations of fitted autoregressive models where the order increases with the sample size. In particular, we give a uniform bound for estimating the moving-average coefficients via autoregressive approximation being uniform over ail integers.
引用
收藏
页码:331 / 342
页数:12
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