Latest Articles

This publication schedule is subject to change.
Volume 36, Number 1, January 2026
Testing Exogeneity in the Functional Linear Regression Model Manuela Dorn, Melanie Birke* and Carsten Jentsch	Supp	doi:10.5705/ss.202022.0154
Robust and Efficient Case-Control Studies With Contaminated Case Pools: A Unified M-Estimation Framework Guorong Dai* and Jinbo Chen	Supp	doi:10.5705/ss.202023.0373
Improved Model-assisted Estimation via Probability Thresholding Xianpeng Zong, Geoffrey K. F. Tso and Guohua Zou*	Supp	doi:10.5705/ss.202022.0295
A Community Hawkes Model for Continuous-time Networks with Interaction Heterogeneity Haosheng Shi and Wenlin Dai*	Supp	doi:10.5705/ss.202022.0353
Simultaneous Inference for Mean Curves of Functional and Longitudinal Data: A Unified Theory Zhipeng Lou* and Weibiao Wu	Supp	doi:10.5705/ss.202022.0358
A Regularized Low Tubal-Rank Model for High-dimensional Time Series Data Samrat Roy* and George Michailidis	Supp	doi:10.5705/ss.202023.0009
Optimal Conditional Quantile Prediction via Model Averaging of Partially Linear Additive Models Jing Lv and Shujie Ma*	Supp	doi:10.5705/ss.202023.0092
Versatile Parametric Classes of Covariance Functions that Interlace Anisotropies and Hole Effects Alfredo Alegria* and Xavier Emery	Supp	doi:10.5705/ss.202023.0184
Robust Tests for Changing Volatility Jilin Wu*, Ruike Wu and Zhijie Xiao	Supp	doi:10.5705/ss.202023.0207
Skewed Pivot-Blend Modeling with Applications to Semicontinuous Outcomes Yiyuan She*, Xiaoqiang Wu, Lizhu Tao and Debajyoti Sinha	Supp	doi:10.5705/ss.202022.0412
Penalized Regression with Multiple Loss Functions and Variable Selection by Voting Guorong Dai*, Ursula U. Müller and Raymond J. Carroll	Supp	doi:10.5705/ss.202022.0391
Adjusting for Non-confounding Covariates in Case-control Association Studies Siliang Zhang, Jinbo Chen, Zhiliang Ying and Hong Zhang*	Supp	doi:10.5705/ss.202023.0249
Variable Screening via Conditional Martingale Difference Divergence Lei Fang*, Qingcong Yuan, Xiangrong Yin and Chenglong Ye	Supp	doi:10.5705/ss.202022.0346
A Functional Coefficients Network Autoregressive Model Hang Yin, Abolfazl Safikhani and George Michailidis*	Supp	doi:10.5705/ss.202022.0402
Statistical Inference for High Dimensional Regression with Proxy Data Sai Li, T. Tony Cai and Hongzhe Li*	Supp	doi:10.5705/ss.202023.0088
Semiparametric Cure Regression Models with Informative Case K Interval-Censored Failure Time Data Yichen Lou, Jianguo Sun and Peijie Wang*		doi:10.5705/ss.202022.0343
Regulation-Incorporated Gene Expression Network-Based Heterogeneity Analysis Rong Li, Qingzhao Zhang and Shuangge Ma*	Supp	doi:10.5705/ss.202023.0109
Semiparametric Inference for Longitudinal Data with Informative Observation Times and Terminal Event Shirong Deng, Kin-yat Liu, Wen Su and Xingqiu Zhao*	Supp	doi:10.5705/ss.202022.0324
An Empirical Bayes Regression for Multi-tissue Gene Expression Prediction Fei Xue and Hongzhe Li*	Supp	doi:10.5705/ss.202023.0201
Component-based Regression for Hybrid Data Xiaohu Jiang, Xiuli Du*, Yenan Ren, Jinguan Lin and The Alzheimer's Disease Neuroimaging Initiative	Supp	doi:10.5705/ss.202023.0186
Copula-based Analysis for Count Time Series Mingze Zhang, Huixia Judy Wang* and James Livsey	Supp	doi:10.5705/ss.202022.0406
Functional Adaptive Double-Sparsity Estimator for Functional Linear Regression Model with Multiple Functional Covariates Cheng Cao, Jiguo Cao, Hailiang Wang, Kwok-Leung Tsui and Xinyue Li*	Supp	doi:10.5705/ss.202023.0091
Improve Efficiency of Doubly Robust Estimator when Propensity Score is Misspecified Liangbo Lyu and Molei Liu*	Supp	doi:10.5705/ss.202023.0029
Volume 36, Number 2, April 2026
Receiver Operating Characteristic Curve for Complex Survey Data Tamy H. M. Tsujimoto and Jianwen Cai*	Supp	doi:10.5705/ss.202022.0290
Estimation and Variable Selection under the Function-on-scalar Linear Model with Covariate Measurement Error Yifan Sun and Grace Y. Yi*	Supp	doi:10.5705/ss.202023.0100
Bias, Consistency, and Alternative Perspectives of the Infinitesimal Jackknife Wei Peng, Lucas Mentch* and Len Stefanski	Supp	doi:10.5705/ss.202022.0131
Confidence Surfaces for the Mean of Locally Stationary Functional Time Series Holger Dette and Weichi Wu*	Supp	doi:10.5705/ss.202023.0150
Simultaneous Inference for the Distribution of Functional Principal Component Scores Leheng Cai and Qirui Hu*	Supp	doi:10.5705/ss.202023.0246
Longitudinal Modeling of Rank-based Global Outcome Maomao Ding, Jing Ning, Xuming He, Anne-Marie Wills and Ruosha Li*	Supp	doi:10.5705/ss.202023.0049
Intrinsic Correlation Analysis for Wasserstein Functional Data Hang Zhou, Zhenhua Lin and Fang Yao*	Supp	doi:10.5705/ss.202023.0147
How Sensitive are Tail-related Risk Measures in a Contamination Neighbourhood? Wolfgang Karl Härdle and Chengxiu Ling*		doi:10.5705/ss.202023.0019
A Warped Self-normalized Two-sample Test for Time Series with Staggered Observation Periods Weiliang Wang and Ting Zhang*	Supp	doi:10.5705/ss.202023.0379
Information-based Optimal Subdata Selection for Clusterwise Linear Regression Yanxi Liu, John Stufken and Min Yang*		doi:10.5705/ss.202023.0302
Joint Mean-angle Model for Spatial Binary Data Cheng Peng, Renwen Luo, Yang Han and Jianxin Pan*	Supp	doi:10.5705/ss.202023.0237
Nonparametric Comparisons of Multiple Distributions under Uniform Stochastic Ordering Chuan-Fa Tang* and Dewei Wang	Supp	doi:10.5705/ss.202023.0034
KOO Approach for Scalable Variable Selection Problem in Large-dimensional Regression Zhidong Bai, Kwok Pui Choi, Yasunori Fujikoshi and Jiang Hu*	Supp	doi:10.5705/ss.202023.0153
Functional Two-Sample Test Based on Projection Yang Bai*, Caihong Qin and Huichen Zhu	Supp	doi:10.5705/ss.202023.0272
Detect Complete Dependence via Trace Correlation in the Presence of Matrix-Valued Random Objects Delin Zhao and Liping Zhu*	Supp	doi:10.5705/ss.202023.0154
Optimal Priors for the Discounting Parameter of the Normalized Power Prior Yueqi Shen*, Luiz M. Carvalho, Matthew A. Psioda and Joseph G. Ibrahim	Supp	doi:10.5705/ss.202023.0208
Resampling Method for Generalized One-per-Stratum Sampling Designs Zhonglei Wang and Zhengyuan Zhu*	Supp	doi:10.5705/ss.202024.0001
Frequent-voting Independence Screening for Data of Different Types or Different Dimensions Haeun Moon* and Kehui Chen		doi:10.5705/ss.202023.0070
Discussion Paper
Causal and Counterfactual Views of Missing Data Models Razieh Nabi*, Rohit Bhattacharya, Ilya Shpitser and James M. Robins	Supp	doi:10.5705/ss.202023.0382
Discussion on "Causal and Counterfactual Views of Missing Data Models" Shanshan Luo and Zhi Geng*		doi:10.5705/ss.202025.0152
Discussion on "Causal and Counterfactual Views of Missing Data Models'' by Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser, James Robins Zeyi Wang* and Mark J. van der Laan		doi:10.5705/ss.202025.0164
Discussion on "Causal and Counterfactual Views of Missing Data Models" Shu Yang and Jae Kwang Kim		doi:10.5705/ss.202025.0165
Discussion on "Causal and counterfactual views of missing data models" by Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser, and James M. Robins Alexander W. Levis and Edward H. Kennedy*	Supp	doi:10.5705/ss.202025.0210
High Dimensional Learning and Inference
Simultaneous Change Point Detection and Identification for High-Dimensional Linear Models Bin Liu, Xinsheng Zhang and Yufeng Liu*	Supp	doi:10.5705/ss.202023.0212