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A negative binomial thinning-based bivariate INAR(1) process

机译:基于一体化的基于二项式稀疏的双变量(1)过程

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This article considers a bivariate INAR(1) process based on an extension of the negative binomial thinning operator by prespecifying the distribution of the innovations. The dependence is introduced through the innovation components. The existence, uniqueness, strict stationarity, ergodicity, and some probabilistic properties of the process are derived. The estimation methods of conditional least squares and conditional maximum likelihood are considered. Some numerical results of the estimates are presented by simulation study. An application to crime data set is provided.
机译:本文通过预先确定创新分配,基于负二项式稀疏运营商的延伸,介绍一项双人inar(1)进程。通过创新组件引入依赖。衍生出存在,唯一性,严格的实践,遍历性和一些概率性质。考虑有条件最小二乘和条件最大可能性的估计方法。仿真研究介绍了估计的一些数值结果。提供了犯罪数据集的应用程序。

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