Dynamic network models based on the Generalized Poisson distribution capture unequal dispersion in temporal count data for improved fit and prediction.
1 is bounded in a neighborhood of 0 and then by applying Theorem 2.7.1 iv) in Vershynin (2018)
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Generalized Poisson Dynamic Network Models
Dynamic network models based on the Generalized Poisson distribution capture unequal dispersion in temporal count data for improved fit and prediction.