Daily Archives: July 21, 2026

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New MOX Report on “Modeling group heterogeneity in spatio-temporal data via physics-informed regression”

A new MOX Report entitled “Modeling group heterogeneity in spatio-temporal data via physics-informed regression” by De Sanctis, M.F.; Arnone, E.; Ieva, F.; Sangalli, L.M. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/65-2026.pdf Abstract: We propose a physics-informed semiparametric framework for modeling spatiotemporal data with group structure. […]