3 papers
stat.ME2026
Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection
Yangsheng Wang, Samruddhi Thakar, Anton Schick +1
This work establishes a theoretical foundation for joint feature selection with multivariate outcomes, positioning the permutation-based variable importance measure (PVIM) of multi…
cs.LG2026
An Integrated Deep Learning and Statistical Framework for Whole-Network Gene--Environment Association with Leaf Vascular Architecture
Geran Zhao, Yangsheng Wang, Xiaotian Dai +1
Leaf veins exhibit remarkable diversity in architecture and patterning, yet existing gene--environment association studies have primarily quantified leaf venation using a small col…
stat.ME2026
Longitudinal Random Forests for Sparse and Irregular Response Trajectories
Yangsheng Wang, Xiaotian Dai, Haoda Fu +1
Longitudinal studies often collect data at sparse, irregular, and unequally spaced time points. Such heterogeneity is often driven by subject-specific covariates, yet existing meth…