Mixing properties of nonstationary multivariate count processes
Abstract
We prove absolute regularity (β-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.
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