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stat.ME2026
Panel Flow Matching: A Generative Approach to Learning Distributions of Longitudinal Data
Jianbin Tan, Pixu Shi, Anru R. Zhang
Learning distributions of longitudinal data is central to tasks such as visualization, completion, classification, and synthetic data generation, but it remains statistically chall…
stat.ME2026★ 1 cited
Functional-SVD for Heterogeneous Trajectories: Case Studies in Health
Jianbin Tan, Pixu Shi, Anru R. Zhang
Trajectory data, including time series and longitudinal measurements, are increasingly common in health-related domains such as biomedical research and epidemiology. Real-world tra…
stat.ME2026
Associating High-Dimensional Longitudinal Datasets through an Efficient Cross-Covariance Decomposition
Jianbin Tan, Pixu Shi
Understanding associations between paired high-dimensional longitudinal datasets is a fundamental yet challenging problem that arises across scientific domains, including longitudi…