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stat.ME2026

Shared hidden-factor information framework for multiple behavioral tasks

Yuan Bian, Yuanjia Wang, Xingche Guo

Understanding cognitive processes in major depressive disorder (MDD) often relies on behavioral tasks, which are typically analyzed separately, overlooking potential correlations a…

stat.ME2026

Model Form Identification in High-Dimensional Functional Linear Regressions

Xingche Guo, Yehua Li, Pang Du

High-dimensional functional data are becoming increasingly common in fields such as environmental monitoring and neuroimaging. This paper studies high-dimensional functional linear…

stat.ME2026

Cumulative Marginal Mean Model for Assessing Sequential Effects Using Digital Health Data

Xingche Guo, Zexi Cai, Yuanjia Wang +1

Mobile health (mHealth) leverages digital technologies, such as mobile phones, to capture objective, frequent, and real-world digital phenotypes from individuals, enabling the deli…

stat.ME2025

Joint modeling for learning decision-making dynamics in behavioral experiments

Yuan Bian, Xingche Guo, Yuanjia Wang

Major depressive disorder (MDD), a leading cause of disability and mortality, is associated with reward-processing abnormalities and concentration issues. Motivated by the probabil…

stat.ME2024

A Hierarchical Random Effects State-space Model for Modeling Brain Activities from Electroencephalogram Data

Xingche Guo, Bin Yang, Ji Meng Loh +2

Mental disorders present challenges in diagnosis and treatment due to their complex and heterogeneous nature. Electroencephalogram (EEG) has shown promise as a potential biomarker…