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
Fast QR updating methods for statistical applications
Mauro Bernardi, Claudio Busatto, Manuela Cattelan
This paper introduces fast R updating algorithms specifically designed for statistical applications, including regression, filtering, and model selection, where data structures cha…