MIXTURE-MODELS FOR TIME-SERIES

被引:4
|
作者
JALALI, A [1 ]
PEMBERTON, J [1 ]
机构
[1] UNIV SWANSEA,SWANSEA,W GLAM,WALES
关键词
ARMA COVARIANCES; CONDITIONAL DISTRIBUTIONS; MARKOV CHAIN; MIXTURE DISTRIBUTION; NONLINEAR TIME SERIES MODEL; STATIONARY DISTRIBUTIONS; STOCHASTIC MATRIX; TIME REVERSAL; ZERO-ORDER THRESHOLD AUTOREGRESSION;
D O I
10.2307/3214925
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 extend the class of zero-order threshold autoregressive models to a much richer class of mixture models. The new class has the important property of duality which, as we show, corresponds to time reversal. We are then able to obtain the time reversals of the zero-order threshold models and to characterise the time-reversible members of this subclass. These turn out to be quite trivial. The time-reversible models of the more general class do not suffer in this way. The complete stationary distributional structure is given, as are various moments, in particular the autocovariance function. This is shown to be of ARMA type. Finally we give two examples, the second of which extends from the finite to the countable mixture case. The general theory for this extension will be given elsewhere.
引用
收藏
页码:123 / 138
页数:16
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