First-order random coefficient INAR process with dependent counting series

被引:5
作者
Liu, Jie [1 ]
Zhang, Haixiang [1 ]
机构
[1] Tianjin Univ, Ctr Appl Math, Tianjin, Peoples R China
关键词
Asymptotic property; Dependent counting series; INAR model; Random coefficient; Thinning operator; TIME-SERIES; EMPIRICAL LIKELIHOOD; INFERENCE; MODELS;
D O I
10.1080/03610918.2020.1711950
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 propose a first-order random coefficient integer-valued autoregressive process with dependent counting series. Some moments and stationary ergodicity of the process are established. The maximum-likelihood estimators of the parameters of interest are presented. We conduct some simulation studies to assess the performance of our method. An example about crime data is provided for practical application.
引用
收藏
页码:3341 / 3354
页数:14
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