AUTOREGRESSIVE SEQUENCES VIA LEVY PROCESSES

被引:0
作者
Bouzar, Nadjib [1 ]
机构
[1] Univ Indianapolis, Dept Math & Comp Sci, Indianapolis, IN USA
关键词
stationarity; semigroup of cumulant generating functions; self-decomposability; stability; time-reversibility; INNOVATION DISTRIBUTION; POISSON MIXTURES; GAMMA; MODELS; STABILITY;
D O I
暂无
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 use Levy processes to develop a family of first-order autoregressive sequences of random variables with values in R+, called C-AR(1) processes. We obtain various distributional and regression properties for these processes and we establish a limit theorem that leads to the property of stationarity. A connection between stationarity of C-AR(1) processes and the notion of C-self-decomposability of van Harn and Steutel (1993) is discussed. A number of stationary C-AR(1) processes with specific marginals are presented and are shown to generalize several existing R(+)-valued AR(1) models. The question of time reversibility is addressed and some examples are discussed.
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页码:81 / +
页数:22
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