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stat.OT2026
The Fidelity and Feedback Traps: The Case for Health Digital Twins as Modular Evolving Causal Systems
Nikki L. B. Freeman, Yating Zou, Kyungbok Lee +3
Digital twins for health may be used to compare treatments, project patient trajectories, and support clinical decisions. While related to mechanical digital twins, those initially…
stat.ME2026
Hierarchical Probabilistic Principal Component Analysis of Longitudinal Data
Xinyu Zhang, Ameer Qaqish, D. Y. Lin +1
In many longitudinal studies, a large number of variables are measured repeatedly over time, with substantial missing data. Existing methods, such as probabilistic principal compon…
math.ST2026
On Statistical Inference for Rates of Change in Spatial Processes over Riemannian Manifolds
Didong Li, Aritra Halder, Sudipto Banerjee
Statistical inference for spatial processes from partially realized or scattered data has seen voluminous developments in diverse areas ranging from environmental sciences to busin…