3 papers
stat.ME2025
Matern and Generalized Wendland correlation models that parameterize hole effect, smoothness, and support
Xavier Emery, Moreno Bevilacqua, Emilio Porcu
A huge literature in statistics and machine learning is devoted to parametric families of correlation functions, where the correlation parameters are used to understand the propert…
math.ST2025
Vector-Valued Gaussian Processes and their Kernels on a Class of Metric Graphs
Tobia Filosi, Emilio Porcu, Xavier Emery +2
Despite the increasing importance of stochastic processes on linear networks and graphs, current literature on multivariate (vector-valued) Gaussian random fields on metric graphs…
stat.ML2025
Unified Native Spaces in Kernel Methods
Xavier Emery, Emilio Porcu, Moreno Bevilacqua
There exists a plethora of parametric models for positive definite kernels, and their use is ubiquitous in disciplines as diverse as statistics, machine learning, numerical analysi…