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stat.AP2026

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.AP2026

Probabilistic Estimation of Hidden Migrant Fatalities Along the Central Mediterranean Route

Gregor Zens, Zoe Sigman

Estimating the number of migrants who die or go missing along dangerous routes such as the Central Mediterranean remains challenging as available records are incomplete. Some incid…

stat.AP2026

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

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…

stat.AP2025

Flexible Bayesian Modelling of Age-Specific Counts in Many Demographic Subpopulations

Gregor Zens

Analysing age-specific mortality, fertility, and migration patterns is a crucial task in demography with significant policy relevance. In practice, such analysis is challenging whe…