3 papers
stat.ME2026
Bayesian Scalar-on-Tensor Quantile Regression for Longitudinal Data on Alzheimer's Disease
Rongke Lyu, Marina Vannucci, Suprateek Kundu
As a general and robust alternative to traditional mean regression models, quantile regression avoids the assumption of normally distributed errors, making it a versatile choice wh…
cs.CV2025
DeepJIVE: Learning Joint and Individual Variation Explained from Multimodal Data Using Deep Learning
Matthew Drexler, Benjamin Risk, James J Lah +2
Conventional multimodal data integration methods provide a comprehensive assessment of the shared or unique structure within each individual data type but suffer from several limit…
stat.ME2024
Flexible Bayesian Nonparametric Product Mixtures for Multi-scale Functional Clustering
Tsung-Hung Yao, Suprateek Kundu
There is a rich literature on clustering functional data with applications to time-series modeling, trajectory data, and even spatio-temporal applications. However, existing method…