Forthcoming Issue

Forthcoming Issue Papers to appear in Vol. 36, No. 1, January 2026 (subject to change) Corresponding author* Contributed equally^#
General
1. SS-2022-0154 [Supp]	doi:10.5705/ss.202022.0154
Testing Exogeneity in the Functional Linear Regression Model Manuela Dorn, Melanie Birke* and Carsten Jentsch
2. SS-2023-0373 [Supp]	doi:10.5705/ss.202023.0373
Robust and Efficient Case-Control Studies With Contaminated Case Pools: A Unified M-Estimation Framework Guorong Dai* and Jinbo Chen
3. SS-2022-0295 [Supp]	doi:10.5705/ss.202022.0295
Improved Model-Assisted Estimation via Probability Thresholding Xianpeng Zong, Geoffrey K. F. Tso and Guohua Zou*
4. SS-2022-0358 [Supp]	doi:10.5705/ss.202022.0358
Simultaneous Inference for Mean Curves of Functional and Longitudinal Data: A Unified Theory Zhipeng Lou* and Wei Biao Wu
5. SS-2023-0207 [Supp]	doi:10.5705/ss.202023.0207
Robust Tests for Changing Volatility Jilin Wu*, Ruike Wu and Zhijie Xiao
6. SS-2023-0184 [Supp]	doi:10.5705/ss.202023.0184
Versatile Parametric Classes of Covariance Functions That Interlace Anisotropies and Hole Effects Alfredo Alegréa* and Xavier Emery
7. SS-2023-0092 [Supp]	doi:10.5705/ss.202023.0092
Optimal Conditional Quantile Prediction via Model Averaging of Partially Linear Additive Models Jing Lv and Shujie Ma*
8. SS-2023-0009 [Supp]	doi:10.5705/ss.202023.0009
A Regularized Low Tubal-Rank Model for High-Dimensional Time Series Data Samrat Roy* and George Michailidis
9. SS-2022-0353 [Supp]	doi:10.5705/ss.202022.0353
A Community Hawkes Model for Continuous-Time Networks With Interaction Heterogeneity Haosheng Shi and Wenlin Dai*
10. SS-2022-0412 [Supp]	doi:10.5705/ss.202022.0412
Skewed Pivot-Blend Modeling With Applications to Semicontinuous Outcomes Yiyuan She*, Xiaoqiang Wu, Lizhu Tao and Debajyoti Sinha
11. SS-2023-0249 [Supp]	doi:10.5705/ss.202023.0249
Adjusting for Non-Confounding Covariates in Case-Control Association Studies Siliang Zhang, Jinbo Chen, Zhiliang Ying and Hong Zhang*
12.SS-2022-0391 [Supp]	doi:10.5705/ss.202022.0391
Penalized Regression With Multiple Loss Functions and Variable Selection by Voting Guorong Dai*, Ursula U. Muller and Raymond J. Carroll
13. SS-2022-0346 [Supp]	doi:10.5705/ss.202022.0346
Variable Screening via Conditional Martingale Difference Divergence Lei Fang*, Qingcong Yuan, Xiangrong Yin and Chenglong Ye
14. SS-2022-0402 [Supp]	doi:10.5705/ss.202022.0402
A Functional Coefficients Network Autoregressive Model Hang Yin, Abolfazl Safikhani and George Michailidis*
15. SS-2023-0088 [Supp]	doi:10.5705/ss.202023.0088
Statistical Inference for High Dimensional Regression With Proxy Data Sai Li, T. Tony Cai and Hongzhe Li*
16. SS-2022-0343	doi:10.5705/ss.202022.0343
Semiparametric Cure Regression Models With Informative Case K Interval-Censored Failure Time Data Yichen Lou, Jianguo Sun and Peijie Wang*
17. SS-2023-0109 [Supp]	doi:10.5705/ss.202023.0109
Regulation-Incorporated Gene Expression Network-Based Heterogeneity Analysis Rong Li, Qingzhao Zhang and Shuangge Ma*
18. SS-2022-0324 [Supp]	doi:10.5705/ss.202022.0324
Semiparametric Inference for Longitudinal Data With Informative Observation Times and Terminal Event Shirong Deng, Kin-yat Liu, Wen Su and Xingqiu Zhao*
19. SS-2023-0201 [Supp]	doi:10.5705/ss.202023.0201
An Empirical Bayes Regression for Multi-Tissue Gene Expression Prediction Fei Xue and Hongzhe Li*
20. SS-2023-0186 [Supp]	doi:10.5705/ss.202023.0186
Component-Based Regression for Hybrid Data Xiaohu Jiang, Xiuli Du*, Yenan Ren, Jinguan Lin and The Alzheimer's Disease Neuroimaging Initiative
21. SS-2023-0091 [Supp]	doi:10.5705/ss.202023.0091
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*
22. SS-2022-0406 [Supp]	doi:10.5705/ss.202022.0406
Copula-Based Analysis for Count Time Series Mingze Zhang, Huixia Judy Wang* and James Livsey
23. SS-2023-0029 [Supp]	doi:10.5705/ss.202023.0029
Improve Efficiency of Doubly Robust Estimator When Propensity Score is Misspecified Liangbo Lyu and Molei Liu*