Latest Articles

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Volume 35, Number 2, April 2025
Partially-Global Fréchet Regression Danielle C. Tucker and Yichao Wu*	Supp	doi:10.5705/ss.202021.0389
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
Improved Regression Inference Using a Second Overlapping Regression Model Liang Peng and John Einmahl*		doi:10.5705/ss.202022.0371
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
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
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
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
Enhanced Structural Break Detection in Functional Means Shuhao Jiao*, Ngai Hang Chan and Chun Yip Yau	Supp	doi:10.5705/ss.202022.0312
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
Transfer Learning for High-Dimensional Quantile Regression via Convolution Smoothing Yijiao Zhang and Zhongyi Zhu*	Supp	doi:10.5705/ss.202022.0396
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
A Data Fusion Method for Quantile Treatment Effects Yijiao Zhang and Zhongyi Zhu*	Supp	doi:10.5705/ss.202022.0288
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
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
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
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
Automatic Sparse PCA for High-Dimensional Data Kazuyoshi Yata* and Makoto Aoshima	Supp	doi:10.5705/ss.202022.0319
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
The Tucker Low-Rank Classification Model for Tensor Data Junge Li, Qing Mai* and Xin Zhang	Supp	doi:10.5705/ss.202022.0007
A Kernel Independence Test Using Projection-Based Measure in High-Dimension Yuexin Chen and Wangli Xu*	Supp	doi:10.5705/ss.202022.0366
Unification of Rare and Weak Multiple Testing Models using Moderate Deviations Analysis and Log-Chisquared P-values Alon Kipnis*	Supp	doi:10.5705/ss.202023.0128
Inference for Change Points in High Dimensional Mean Shift Models Abhishek Kaul* and George Michailidis	Supp	doi:10.5705/ss.202022.0323
Cross Projection Test for High-Dimension Mean Vectors Guanpeng Wang and Hengjian Cui*	Supp	doi:10.5705/ss.202022.0388
Volume 35, Number 3, July 2025
Optimal Designs for Functional Principal and Empirical Component Scores Ming-Hung Kao* and Ping-Han Huang	Supp	doi:10.5705/ss.202023.0051
A Homogeneous Likelihood Ratio Measure for Hidden Jump-sets in Generalized Spatial Regression Pei-Sheng Lin*, Jun Zhu and Katherine J. Curtis	Supp	doi:10.5705/ss.202022.0221
Small Area Estimation using EBLUPs under the Nested Error Regression Model Ziyang Lyu* and A.H. Welsh	Supp	doi:10.5705/ss.202023.0045
An Extreme-value Test for Structural Breaks in Spatial Trends Chenyu Han, Ngai Hang Chan* and Chun Yip Yau	Supp	doi:10.5705/ss.202022.0029
Rank Based Tests for High Dimensional White Noise Dachuan Chen, Fengyi Song and Long Feng*	Supp	doi:10.5705/ss.202022.0382
Empirical Likelihood Using External Summary Information Lyu Ni, Jun Shao, Jinyi Wang and Lei Wang*		doi:10.5705/ss.202023.0056
Statistical Inference for Heavy-tailed and Partially Nonstationary Vector ARMA Models Feifei Guo and Shiqing Ling*	Supp	doi:10.5705/ss.202022.0121
Statistical Inference for Mean Functions of Complex 3D Objects Yueying Wang, Guannan Wang, Brandon Klinedinst, Auriel Willette and Lily Wang*	Supp	doi:10.5705/ss.202023.0071
Constrained D-optimal Design for Paid Research Study Yifei Huang, Liping Tong and Jie Yang*	Supp	doi:10.5705/ss.202022.0414
Asymptotic Analysis of Mis-Classified Linear Mixed Models Haiqiang Ma and Jiming Jiang*	Supp	doi:10.5705/ss.202023.0082
On Block Cholesky Decomposition for Sparse Inverse Covariance Estimation Xiaoning Kang, Jiayi Lian and Xinwei Deng*	Supp	doi:10.5705/ss.202023.0065
Multivariate Calibrations with Auxiliary Information Pei Feng Tong, Song Xi Chen* and Cheng Yong Tang	Supp	doi:10.5705/ss.202023.0151
An Unbiased Predictor for Skewed Response Variable with Measurement Error in Covariate Sepideh Mosaferi*, Malay Ghosh and Shonosuke Sugasawa	Supp	doi:10.5705/ss.202023.0098
Leverage Classifier: Another Look at Support Vector Machine Yixin Han, Jun Yu, Nan Zhang, Cheng Meng, Ping Ma*, Wenxuan Zhong and Changliang Zou	Supp	doi:10.5705/ss.202023.0124
Efficient Estimation and Inference for the Signed β-Model in Directed Signed Networks Haoran Zhang and Junhui Wang*	Supp	doi:10.5705/ss.202022.0236
High-dimensional Subgroup Regression Analysis Fei Jiang*, Tian Lu, Jian Kang and Lexin Li	Supp	doi:10.5705/ss.202023.0075
On the Estimation of High-Dimensional Integrated Covariance Matrix Based on High-Frequency Data with Multiple Transactions Moming Wang, Jianhua Hu, Ningning Xia* and Yong Zhou	Supp	doi:10.5705/ss.202022.0259
Optimal Subsampling for Multinomial Logistic Models with Big Data Zhiqiang Ye, Jun Yu and Mingyao Ai*	Supp	doi:10.5705/ss.202022.0277