Kernel Variable Importance Measure

Distribution-Free Prediction Bands for Clustered Data with Missing Responses

Integrative Nearest Neighbor Classifiers for Block-missing Multi-modal Data

Residual Importance Weighted Transfer Learning for High-Dimensional Linear Regression

Multi-Objective Tree-Based Reinforcement Learning for Estimating Tolerant Dynamic Treatment Regimes

Interim Analysis in Sequential Multiple Assignment Randomized Trials for Survival Outcomes

Functional Linear Operator Quantile Regression for Sparse Longitudinal Data

Principled Random Forests: Uncertainty Quantification for Tree Structure Models with Robustness to Stratification Errors

Engression: Extrapolation for Nonlinear Regression?

On the Possibility of Doubly-Robust Root-n Inference

Long-Term Causal Inference under Persistent Confounding via Data Combination

Best-Subset Selection in Generalized Linear Models: A Fast and Consistent Algorithm via Splicing Technique

Minimax Optimal Methods for High-Dimensional Doubly Sparse Linear Regression 高维双稀疏线性回归的极小极大最优方法

Subset Selection EM Algorithm: Statistical Analysis and Applications

Simultaneous Dimension Reduction and Variable Selection for Multinomial Logistic Regression