Aggregates of binary autoregressive processes converge to Poisson autoregression under rare-events scaling, providing a micro-foundation for Poisson count models.
Time series approach to the evolution of networks: Prediction and estimation.Journal of Business & Economic Statistics,41(1), 170–183
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Generalized Autoregressive Multivariate Models: From Binary to Poisson
Aggregates of binary autoregressive processes converge to Poisson autoregression under rare-events scaling, providing a micro-foundation for Poisson count models.