3 papers
stat.ME2026
Bayesian Variable Selection for High-Dimensional Predictors with Missing Psychometric Outcomes
Zongyue Teng, Shujie Ma, Timothy J. Hohman +2
High-dimensional, multimodal predictors and partially observed multivariate outcomes are common in psychometric research. However, existing regularization methods often do not acco…
stat.AP2026
Nonlinear trajectories of lung function recovery in patients with pulmonary disease: empirical evaluation of longitudinal modeling approaches
Zongyue Teng, Ningkun Zhou, Xinyu Zhang +2
Introduction: Longitudinal lung function recovery after pulmonary disease commonly follows nonlinear trajectories, and failure to adequately model these trajectories can lead to bi…
cs.SI2025
When Does the Silhouette Score Work? A Comprehensive Study in Network Clustering
Zongyue Teng, Jun Yan, Dandan Liu +1
Selecting the number of communities is a fundamental challenge in network clustering. The silhouette score offers an intuitive, model-free criterion that balances within-cluster co…