2 papers
stat.AP2026
Model-based clustering of compositional trajectories for the analysis of mobility data
Andrea Panarotto, Manuela Cattelan, Ruggero Bellio
Understanding urban mobility patterns is crucial for designing efficient and sustainable transportation systems. Motivated by an application to the municipality of Padova and its s…
stat.ME2026
Robust confidence intervals for generalized linear models
Andrea Panarotto, Riccardo De Santis, Livio Finos
Reliable uncertainty quantification is a central challenge in the analysis of modern biomedical data, where complex sources of variability often violate standard modeling assumptio…