Mixing properties of nonstationary multivariate count processes

Abstract

We prove absolute regularity (${\hat{I}}^2$-mixing) for nonstationary and multivariate versions of two popular classes of integer-valued processes. We show how this result can be used to prove asymptotic normality of a least squares estimator of an involved model parameter.