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stat.ME2026
AdaptICA: Data-Adaptive Transformation Learning for Independent Component Analysis
Lida Jalili, Jingyu Liu, Vince D. Calhoun +1
Independent component analysis (ICA) is widely used to recover latent structure from signal and imaging data, but standard ICA assumes that the observed measurement scale preserves…
stat.ME2026
Similarity-Based Prediction for Digital Twins: Panel Data, Theory, and Applications
Ruihang Han, Li-Hsiang Lin
Prediction from sequential panel data is central to digital-twin modeling, where new panels arrive over time and the predictive system is updated sequentially. Existing methods oft…
stat.ME2026
Scalable and Communication-Efficient Varying Coefficient Mixed Effect Models: Methodology, Theory, and Applications
Lida Chalangar Jalili Dehkharghani, Li-Hsiang Lin
Human migration exhibits complex spatiotemporal dependence driven by environmental and socioeconomic forces. Modeling such patterns at scale requires methods that accommodate many…