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stat.AP2025
Dynamic Count Models with Flexible Innovation Processes for Irregular Maritime Migration
Gregor Zens, Jakub Bijak
Motivated by the challenge of analyzing the dynamics of weekly sea border crossings in the Mediterranean (2015-2025) and the English Channel (2018-2025), we develop a Bayesian dyna…
stat.AP2025
Low-rank bilinear autoregressive models for three-way criminal activity tensors
Gregor Zens, Carlos Díaz, 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
Bayesian Matrix Factor Models for Demographic Analysis Across Age and Time
Gregor Zens
Analyzing demographic data collected across multiple populations, time periods, and age groups is challenging due to the interplay of high dimensionality, demographic heterogeneity…