3 papers
stat.ML2026
A Bayesian Vertical Federated Learning Framework for Multivariate Reduced-Rank High-Dimensional Regression
Brigham Halverson, Sharmistha Guha, Jessica Bernard +1
Federated learning (FL) has emerged as a leading privacy-preserving framework for collaborative machine learning across decentralized environments. While considerable progress has…
stat.ME2026
A Bayesian Framework for Quantifying Association Between Functional and Structural Data in Neuroimaging
Sakul Mahat, Sharmistha Guha, Jessica Bernard
Structural and functional neuroimaging modalities provide complementary windows into brain organization: structural imaging characterizes neural tissue anatomy and microstructure,…
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…