Volume 35 Number 1, January 2025

Volume 35, Number 2, April 2025

corresponding author*
General

	Partially-Global Fréchet Regression Danielle C. Tucker and Yichao Wu*	Supp	doi:10.5705/ss.202021.0389 713
	Moment Deviation Subspaces of Dimension Reduction for High-Dimensional Data With Change Structure Xuehu Zhu, Luoyao Yu, Jiaqi Huang, Junmin Liu and Lixing Zhu*	Supp	doi:10.5705/ss.202022.0384 737
	Improved Regression Inference Using a Second Overlapping Regression Model Liang Peng and John H. Einmahl*		doi:10.5705/ss.202022.0371 761
	Statistical Inference With Anchored Bayesian Mixture of Regressions Models: An Illustrative Study of Allometric Data Deborah Kunkel and Mario Peruggia*	Supp	doi:10.5705/ss.202021.0387 779
	Robust Recovery of the Central Subspace for Regression Using the Influence Function of the Rényi Divergence Ross Iaci and T. N. Sriram*	Supp	doi:10.5705/ss.202022.0351 799
	Reinforcement Learning via Nonparametric Smoothing in a Continuous-Time Stochastic Setting With Noisy Data Chenyang Jiang, Bowen Hu, Yazhen Wang and Shang Wu*	Supp	doi:10.5705/ss.202022.0407 831
	The Importance of Being a Band: Finite-Sample Exact Distribution-Free Prediction Sets for Functional Data Jacopo Diquigiovanni, Matteo Fontana and Simone Vantini*	Supp	doi:10.5705/ss.202022.0087 853
	Enhanced Structural Break Detection in Functional Means Shuhao Jiao, Ngai Hang Chan and Chun Yip Yau*	Supp	doi:10.5705/ss.202022.0312 873
	A New Paradigm for Generative Adversarial Networks Based on Randomized Decision Rules Sehwan Kim, Qifan Song and Faming Liang*	Supp	doi:10.5705/ss.202022.0404 897
	Regularized Adaptive Huber Matrix Regression and Distributed Learning Yue Wang, Wenqi Lu, Lei Wang, Zhongyi Zhu, Hongmei Lin and Heng Lian*	Supp	doi:10.5705/ss.202023.0022 919
	Transfer Learning for High-Dimensional Quantile Regression via Convolution Smoothing Yijiao Zhang and Zhongyi Zhu*	Supp	doi:10.5705/ss.202022.0396 939
	Identification and Estimation of Treatment Effects on Long-Term Outcomes in Clinical Trials With External Observational Data Wenjie Hu, Xiao-Hua Zhou and Peng Wu*	Supp	doi:10.5705/ss.202023.0006 959
	A Data Fusion Method for Quantile Treatment Effects Yijiao Zhang and Zhongyi Zhu*	Supp	doi:10.5705/ss.202022.0288 981
	Empirical Likelihood Inference of Variance Components in Linear Mixed-Effects Models Jingru Zhang, Wei Guo, Joanne S. Carpenter, Andrew Leroux, Kathleen R. Merikangas, Nicholas G. Martin, Ian B. Hickie, Haochang Shou and Hongzhe Li*	Supp	doi:10.5705/ss.202022.0336 1003
	Optimal Model Averaging for Single-Index Models With Divergent Dimensions Jiahui Zou, Wendun Wang, Xinyu Zhang and Guohua Zou*	Supp	doi:10.5705/ss.202022.0321 1025
	Testing Hypotheses of Covariate-Adaptive Randomized Clinical Trials With Time-to-event Outcomes Under the AFT Model Hongjian Zhu, Lixin Zhang, Jing Ning and Lu Wang*	Supp	doi:10.5705/ss.202022.0011 1051
	Automatic Sparse PCA for High-Dimensional Data Kazuyoshi Yata and Makoto Aoshima*	Supp	doi:10.5705/ss.202022.0319 1069
	Towards Optimal Use of Surrogate Markers to Improve Power Xuan Wang, Layla Parast, Lu Tian and Tianxi Cai*	Supp	doi:10.5705/ss.202022.0211 1091
	The Tucker Low-Rank Classification Model for Tensor Data Junge Li, Qing Mai and Xin Zhang*	Supp	doi:10.5705/ss.202022.0007 1111
	A Kernel Independence Test Using Projection-Based Measure in High-Dimension Yuexin Chen and Wangli Xu*	Supp	doi:10.5705/ss.202022.0366 1133
	Unification of Rare and Weak Multiple Testing Models Using Moderate Deviations Analysis and Log-Chisquared P-values Alon Kipnis*	Supp	doi:10.5705/ss.202023.0218 1155
	Cross Projection Test for High-Dimension Mean Vectors Guanpeng Wang and Hengjian Cui*	Supp	doi:10.5705/ss.202022.0388 1183
	Inference for Change Points in High Dimensional Mean Shift Models Abhishek Kaul and George Michailidis*	Supp	doi:10.5705/ss.202022.0323 1205