Showing 2026Show all
2 papers · 1 filter
stat.ME2026
Generalized Poisson Dynamic Network Models
Giulia Carallo, Roberto Casarin, Antonio Peruzzi
Count-weighted temporal networks often exhibit unequal dispersion in the edge weights, which cannot be fully explained by modelling observational heterogeneity through latent facto…
stat.ME2026
A Bayesian Dynamic Latent Space Model for Weighted Networks
Roberto Casarin, Matteo Iacopini, Antonio Peruzzi
A new dynamic latent space eigenmodel (LSM) is proposed for weighted temporal networks. The model accommodates integer-valued weights, excess of zeros, time-varying node positions…