Papers to appear in Volume 34, No. 2, April 2024
(Subject to change)
Corresponding author*
|
General |
1. SS-2021-0170 [Supp] |
doi:10.5705/ss.202021.0170 |
Multi-Response Regression for Block-Missing Multi-Modal Data Without Imputation
Haodong Wang, Quefeng Li and Yufeng Liu* |
2. SS-2020-0311 [Supp] |
doi:10.5705/ss.202020.0311 |
On the Efficiency of Composite Likelihood Estimation for Gaussian Spatial Processes
Nelson J. Y. Chua*, Francis K. C. Hui and A. H. Welsh
|
3. SS-2021-0416 [Supp] |
doi:10.5705/ss.202021.0416 |
Nonparametric Tests of Independence for Circular Data Based on Trigonometric Moments
Eduardo Garcia-Portugues*, Pierre Lafaye de Micheaux, Simos G. Meintanis and Thomas Verdebout |
4. SS-2022-0003 |
doi:10.5705/ss.202022.0003 |
Synthesis of Order-of-Addition Models
Robert W. Mee* |
5. SS-2022-0019 [Supp] |
doi:10.5705/ss.202022.0019 |
A Systematic View of Information-Based Optimal Subdata Selection: Algorithm Development, Performance Evaluation, and Application in Financial Data
Li He, William Li*, Difan Song and Min Yang |
6. SS-2021-0331 |
doi:10.5705/ss.202021.0331 |
Balanced Donor Imputation Handling Swiss Cheese Nonresponse
Esther Eustache*, Audrey-Anne Vallee and Yves Tille |
7. SS-2022-0070 [Supp} |
doi:10.5705/ss.202022.0070 |
Inference for Projection-Based Wasserstein Distances on Finite Spaces
Ryo Okano and Masaaki Imaizumi* |
8. SS-2022-0077 [Supp} |
doi:10.5705/ss.202022.0077 |
Spatial Autoregressive Models With Generalized Spatial Disturbances
Kuangnan Fang, Wei Lan*, Dan Pu and Qingzhao Zhang |
9. SS-2022-0049 [Supp} |
doi:10.5705/ss.202022.0049 |
Quasi-Maximum Likelihood Inference for Linear Double Autoregressive Models
Hua Liu, Songhua Tan and Qianqian Zhu* |
10. SS-2021-0377 [Supp} |
doi:10.5705/ss.202021.0377 |
Inference on Large-Scale Partially Functional Linear Model With Heterogeneous Errors
Kaijie Xue and Fang Yao* |
11. SS-2022-0008 [Supp} |
doi:10.5705/ss.202022.0008 |
A Unified Approach to Focused Information Criterion and Plug-In Averaging Method
Xinyu Zhang and Chu-An Liu* |
12. SS-2021-0226 [Supp} |
doi:10.5705/ss.202021.0226 |
Propensity Score Regression for Causal Inference With Treatment Heterogeneity
Peng Wu*, Shasha Han, Xingwei Tong and Runze Li |
13. SS-2021-0338 [Supp} |
doi:10.5705/ss.202021.0338 |
Pseudo-Bayesian Approach for Quantile Regression Inference: Adaptation to Sparsity
Yuanzhi Li* and Xuming He |
14. SS-2022-0096 [Supp} |
doi:10.5705/ss.202022.0096 |
Simultaneous Functional Quantile Regression
Boyi Hu, Xixi Hu, Hua Liu, Jinhong You and Jiguo Cao* |
15. SS-2021-0326 [Supp} |
doi:10.5705/ss.202021.0326 |
Test of the Latent Dimension of a Spatial Blind Source Separation Model
Christoph Muehlmann, Francois Bachoc, Klaus Nordhausen and Mengxi Yi* |
16. SS-2021-0248 [Supp} |
doi:10.5705/ss.202021.0248 |
Functional Threshold Autoregressive Model
Yuanbo Li, Kun Chen*, Xunze Zheng and Chun-Yip Yau |
17. SS-2021-0422 [Supp} |
doi:10.5705/ss.202021.0422 |
Dynamic Copula-Based Nonparametric Estimation of Rank-Tracking Probabilities With Longitudinal Data
Xiaoyu Zhang, Mixia Wu* and Colin O. Wu |
18. SS-2022-0020 [Supp} |
doi:10.5705/ss.202022.0020 |
A Perturbation Subsampling for Large Scale Data
Yujing Yao and Zhezhen Jin* |
19. SS-2021-0427 [Supp} |
doi:10.5705/ss.202021.0427 |
Statistical Inference for Mean Function of Longitudinal Imaging Data Over Complicated Domains
Qirui Hu and Jie Li* |
20. SS-2021-0415 [Supp} |
doi:10.5705/ss.202021.0415 |
A Unified Framework for Tuning Hyperparameters in Clustering Problems
Xinjie Fan, Y. X. Rachel Wang*, Purnamrita Sarkar and Yuguang Yue |
21. SS-2022-0043 [Supp} |
doi:10.5705/ss.202022.0043 |
On Estimation of the Logarithm of the Mean Squared Prediction Error of A Mixed-Effect Predictor
Jianling Wang, Thuan Nguyen, Yihui Luan and Jiming Jiang* |
22. SS-2021-0351 [Supp} |
doi:10.5705/ss.202021.0351 |
Sharp Bounds for Variance of Treatment Effect Estimators in the Presence of Covariates
Ruoyu Wang, Qihua Wang*, Wang Miao and Xiaohua Zhou |
23. SS-2021-0386 [Supp} |
doi:10.5705/ss.202021.0386 |
Statistical Inference for Genetic Relatedness Based on High-Dimensional Logistic Regression
Rong Ma, Zijian Guo, T. Tony Cai and Hongzhe Li* |
24. SS-2021-0373 [Supp} |
doi:10.5705/ss.202021.0373 |
Integrating Incomplete Data for Mediation Analysis
Andriy Derkach*, Joshua N. Sampson and Ruth M. Pfeiffer |