181 citations · 291 across the 8 of their papers we have counts for
8 papers
Modeling group heterogeneity in spatio-temporal data via physics-informed semiparametric regression
Marco F. De Sanctis, Eleonora Arnone, Francesca Ieva +1
In this work we propose a novel approach for modeling spatio-temporal data characterized by group structures. In particular, we extend classical mixed effect regression models by i…
Three Distributional Approaches for PM10 Assessment in Northern Italy
Marco F. De Sanctis, Andrea Gilardi, Giacomo Milan +3
We propose three spatial methods for estimating the full probability distribution of PM10 concentrations, with the ultimate goal of assessing air quality in Northern Italy. Moving…
Vector boson scattering: Recent experimental and theory developments
C. F. Anders, A. Ballestrero, J. Balz +111
This document summarises the talks and discussions happened during the VBSCan Split17 workshop, the first general meeting of the VBSCan COST Action network. This collaboration is a…
Smooth Principal Component Analysis over two-dimensional manifolds with an application to Neuroimaging
Eardi Lila, John A. D. Aston, Laura M. Sangalli
Motivated by the analysis of high-dimensional neuroimaging signals located over the cortical surface, we introduce a novel Principal Component Analysis technique that can handle fu…
Functional Data Analysis of Amplitude and Phase Variation
J. S. Marron, James O. Ramsay, Laura M. Sangalli +1
The abundance of functional observations in scientific endeavors has led to a significant development in tools for functional data analysis (FDA). This kind of data comes with seve…
Generalized Spatial Regression with Differential Regularization
Matthieu Wilhelm, Laura M. Sangalli
We aim at analyzing geostatistical and areal data observed over irregularly shaped spatial domains and having a distribution within the exponential family. We propose a generalized…