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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…
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…