Integer-valued time series

被引:0
|
作者
Fokianos, Konstantinos [1 ]
机构
[1] Univ Cyprus, Dept Math & Stat, Nicosia 1678, Cyprus
关键词
generalized linear models; likelihood; prediction; stationarity;
D O I
10.1002/wics.47
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
Integer-valued time series data appear in several diverse applications. However, modeling and inference for these types of dependent data pose several questions and interesting problems. The method of generalized linear models turns out to provide a sound framework for modeling and estimation whereby all computations are carried out by well-established software. I review this area of research and propose some other models. (C) 2009 John Wiley & Sons, Inc.
引用
收藏
页码:361 / 364
页数:4
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