3 papers
stat.AP2026
Integrative Predictor-Dependent Learning of Network Data and Spatially Correlated Nodal Attributes for Multimodal Brain Imaging in Aging
Jose Rodriguez-Acosta, Sharmistha Guha, Jessica Bernard +2
This article introduces a predictor-dependent joint modeling framework for network data obtained from multiple subjects over a shared set of nodes with spatial co-ordinates and spa…
stat.AP2026
Integrative Learning of Dynamically Evolving Multiplex Graphs and Nodal Attributes Using Neural Network Gaussian Processes with an Application to Dynamic Terrorism Graphs
Jose Rodriguez-Acosta, Sharmistha Guha, Lekha Patel +1
Exploring the dynamic co-evolution of multiplex graphs and nodal attributes is a compelling question in criminal and terrorism networks. This article is motivated by the study of d…
stat.ME2026
Multiview Graph Fusion with Covariates
Sharmistha Guha, Jose Rodriguez-Acosta, Ivo Dinov
Joint modeling of multiview graphs with a common set of nodes between views and auxiliary predictors is an essential, yet less explored, area in statistical methodology. Traditiona…