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We prove absolute regularity ($\beta$-mixing) for nonstationary andmultivariate versions of two popular classes of integer-valued processes. Weshow how this result can be used to prove asymptotic normality of a leastsquares estimator of an involved model parameter.

Mixing properties of nonstationary multivariate count processes