Forthcoming Issue

Forthcoming Issue Papers to appear in Volume 32, Online Special Issue, Spring 2022 Corresponding author*
Causal Inference
1. SS-2021-0191	doi:10.5705/ss.202021.0191
An Equation for the Identification of Average Causal Effect in Nonlinear Models Wing Hung Wong*
2. SS-2020-0409 [Supp]	doi:10.5705/ss.202020.0409
Robust Inference of Conditional Average Treatment Effects Using Dimension Reduction Ming-Yueh Huang and Shu Yang*
3. SS-2020-0081 [Supp]	doi:10.5705/ss.202020.0081
On Semiparametric Instrumental Variable Estimation of Average Treatment Effects Through Data Fusion BaoLuo Sun* and Wang Miao
4. SS-2020-0149 [Supp]	doi:10.5705/ss.202020.0149
Causal Inference From Possibly Unbalanced Split-Plot Designs: A Randomization-Based Perspective Rahul Mukerjee and Tirthankar Dasgupta*
5. SS-2019-0408 [Supp]	doi:10.5705/ss.202019.0408
Hypothesis Testing in High-Dimensional Instrumental Variables Regression With an Application to Genomics Data Jiarui Lu and Hongzhe Li*
Short Notes
6. SS-2021-0145 [Supp]	doi:10.5705/ss.202021.0145
Consistency of BIC Model Averaging Ze Chen, Jianqiang Zhang, Wangli Xu and Yuhong Yang*
7. SS-2021-0318 [Supp}	doi:10.5705/ss.202021.0318
Stable Combination Tests Xing Ling and Yeonwoo Rho*
8. SS-2019-0459	doi:10.5705/ss.202019.0459
Are Instrumental Variables Really That Instrumental? Endogeneity Resolution in Regression Models for Comparative Studies Ravi Kashyap*

Forthcoming Issue Papers to appear in Volume 32, Number 2, April 2022 Corresponding author*
General
1. SS-2019-0409 [Supp]	doi:10.5705/ss.202019.0409
A Functional Information Criterion for Region Selection in Functional Linear Models Yunxiang Huang and Qihua Wang*
2. SS-2020-0170 [Supp]	doi:10.5705/ss.202020.0170
High-Dimensional Varying Index Coefficient Quantile Regression Model Jing Lv and Jialiang Li*
3. SS-2019-0210 [Supp]	doi:10.5705/ss.202019.0210
Performance Assessment of High-dimensional Variable Identification Yanjia Yu*, Yi Yang and Yuhong Yang
4. SS-2019-0319 [Supp]	doi:10.5705/ss.202019.0319
Hypothesis Testing for Block-Structured Correlation for High-Dimensional Variables Shurong Zheng*, Xuming He and Jianhua Guo
5. SS-2019-0388 [Supp]	doi:10.5705/ss.202019.0388
A Method of Local Influence Analysis in Sufficient Dimension Reduction Fei Chen, Lei Shi, Lin Zhu and Lixing Zhu*
6. SS-2019-0424 [Supp]	doi:10.5705/ss.202019.0424
Time Series Models for Realized Covariance Matrices Based on the Matrix-F Distribution Jiayuan Zhou, Feiyu Jiang*, Ke Zhu and Wai Keung Li
7. SS-2019-0450 [Supp}	doi:10.5705/ss.202019.0450
General Robust Bayes Pseudo-Posteriors: Exponential Convergence Results With Applications Abhik Ghosh, Tuhin Majumder and Ayanendranath Basu*
8. SS-2020-0223	doi:10.5705/ss.202020.0223
A Class of Multilevel Nonregular Designs for Studying Quantitative Factors Lin Wang*, Hongquan Xu
9. SS-2020-0063 [Supp]	doi:10.5705/ss.202020.0063
Efficient Estimation and Computation in Generalized Varying Coefficient Models With Unknown Link and Variance Functions for Large-Scale Data Huazhen Lin*, Jiaxin Liu, Haoqi Li, Lixian Pan and Yi Li
10. SS-2019-0304 [Supp]	doi:10.5705/ss.202019.0304
Conditional Marginal Test for High Dimensional Quantile Regression Yanlin Tang, Yinfeng Wang*, Huixia Judy Wang and Qing Pan
11. SS-2020-0051 [Supp]	doi:10.5705/ss.202020.0051
Extreme Quantile Estimation Based on the Tail Single-Index Model Wen Xu, Huixia Judy Wang and Deyuan Li*
12. SS-2019-0283 [Supp]	doi:10.5705/ss.202019.0283
Projection-Based Inference for High-dimensional Linear Models Sangyoon Yi* and Xianyang Zhang
13. SS-2019-0400 [Supp]	doi:10.5705/ss.202019.0400
Adjusting Systematic Bias in High Dimensional Principal Component Scores Sungkyu Jung*
14. SS-2020-0287	doi:10.5705/ss.202020.0287
An Iterative Algorithm to Learn From Positive and Unlabeled Examples Xin Liu, Qingle Zheng, Xiaotong Shen and Shaoli Wang*
15. SS-2020-0141	doi:10.5705/ss.202020.0141
Maximum Likelihood Estimation for Cox Proportional Hazards Model With a Change Hyperplane Yu Deng, Jianwen Cai and Donglin Zeng*
16. SS-2020-0165 [Supp]	doi:10.5705/ss.202020.0165
A Simple and Efficient Estimation of Average Treatment Effects in Models With Unmeasured Confounders Chunrong Ai, Lukang Huang and Zheng Zhang*
17. SS-2019-0445 [Supp]	doi:10.5705/ss.202019.0445
Estimation of Simultaneous Signals Using Absolute Inner Product With Applications to Integrative Genomics Rong Ma, T. Tony Cai and Hongzhe Li*
18. SS-2020-0005 [Supp]	doi:10.5705/ss.202020.0005
Time-Varying Mixture Copula Models With Copula Selection Bingduo Yang, Zongwu Cai, Christian Hafner and Guannan Liu*
19. SS-2019-0354 [Supp]	doi:10.5705/ss.202019.0354
Seamless Phase II/III Clinical Trials With Covariate Adaptive Randomization Wei Ma, Mengxi Wang and Hongjian Zhu*
20. SS-2020-0353 [Supp]	doi:10.5705/ss.202020.0353
Softplus INGARCH Model Christian H. Weis, Fukang Zhu* and Aisouda Hoshiyar
21. SS-2019-0415 [Supp]	doi:10.5705/ss.202019.0415
A Proximal Dual Semismooth Newton Method for Zero-Norm Penalized Quantile Regression Estimator Dongdong Zhang, Shaohua Pan and Shujun Bi*
22. SS-2019-0265 [Supp]	doi:10.5705/ss.202019.0265
A Stable and More Efficient Doubly Robust Estimator Min Zhang* and Baqun Zhang
23. SS-2019-0376 [Supp]	doi:10.5705/ss.202019.0376
Gaussian Process Prediction using Design-Based Subsampling Linglin He and Ying Hung*