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math.PR2026
Smooth Isotropic Covariance Functions on Metric Graphs via Polyharmonic Resistance Distances
Tobia Filosi, Emilio Porcu, Claudio Agostinelli
Metric graphs are generalisations of linear networks and provide a natural framework for the definition of continuously-indexed Gaussian processes. We define a new class of distanc…
math.ST2026
Central subspace data depth
Giacomo Francisci, Claudio Agostinelli
Statistical data depth plays an important role in the analysis of multivariate data sets. The main outcome is a center-outward ordering of the observations that can be used both to…