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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…
stat.ME2018★ 4 cited
Strong Sure Screening of Ultra-high Dimensional Categorical Data
Randall Reese, Xiaotian Dai, Guifang Fu
Feature screening for ultra high dimensional feature spaces plays a critical role in the analysis of data sets whose predictors exponentially exceed the number of observations. Suc…