2 papers
stat.ME2026
The Continuous Latent Ornstein-Uhlenbeck Dynamics Framework: A Scalable Latent Process Model for Multivariate Longitudinal Categorical Data
Zhennan Wu, Yijie Wang, Xiaoqing Huang
Longitudinal biomedical studies increasingly collect irregularly sampled, multivariate categorical data that imperfectly reflect disease progression. This presents three key analyt…
cs.LG2023
Inhomogeneous graph trend filtering via a l2,0 cardinality penalty
Xiaoqing Huang, Andersen Ang, Kun Huang +2
We study estimation of piecewise smooth signals over a graph. We propose a -norm penalized Graph Trend Filtering (GTF) model to estimate piecewise smooth graph signals…