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stat.AP2026
Low-rank bilinear autoregressive models for three-way criminal activity tensors
Gregor Zens, Carlos DÃaz, Daniele Durante +1
Criminal activity data are typically available via a three-way tensor encoding the reported frequencies of different crime categories across time and space. The challenges that ari…
stat.AP2025
Dependent stochastic block models for age-indexed sequences of directed causes-of-death networks
Giovanni Romanò, Cristian Castiglione, Daniele Durante
Death events commonly arise from complex interactions among interrelated causes, formally classified in reporting practices as underlying and contributing. Leveraging information f…
stat.AP2025
Bayesian local clustering of age-period mortality surfaces across multiple countries
Giovanni Romanò, Emanuele Aliverti, Daniele Durante
Although traditional literature on mortality modeling has focused on single countries in isolation, recent contributions have progressively moved toward joint models for multiple c…