3 papers
stat.ME2026
A Hybrid Spatial Statistical Learning Framework for Individualized Probability Estimation: Application to Multisite Autism Neuroimaging
Montserrat Fuentes, Veronica B. Patterson
Autism spectrum disorder is a heterogeneous neurodevelopmental condition whose functional brain organization varies across individuals and imaging centers. Resting-state functional…
stat.ME2026
From Kriging to Spatial AI: Fifty Years of Spatial Statistics for Complex Dependent Data
Montserrat Fuentes, Veronica B. Patterson
Spatial statistics has grown from kriging for spatial prediction into a broad framework for learning from complex dependent data. This article traces that development from random f…
stat.ME2026
A Bayesian Edge-Space Framework for Whole-Connectome Inference in Multisite Autism Neuroimaging
Montserrat Fuentes, Veronica B. Patterson
Autism spectrum disorder (ASD) is associated with heterogeneous alterations across distributed brain systems, creating challenges for whole-connectome inference. The difficulty ari…