Forthcoming Issue

Forthcoming Issue Papers to appear in Volume 35, No. 3, July 2025 (Subject to change) Corresponding author*
General
1. SS-2023-0051 [Supp]	doi:10.5705/ss.202023.0051
Optimal Designs for Functional Principal and Empirical Component Scores Ming-Hung Kao* and Ping-Han Huang
2. SS-2022-0221 [Supp]	doi:10.5705/ss.202022.0221
A Homogeneous Likelihood Ratio Measure for Hidden Jump-Sets in Generalized Spatial Regression Pei-Sheng Lin*, Jun Zhu and Katherine J. Curtis
3. SS-2023-0045 [Supp]	doi:10.5705/ss.202023.0045
Small Area Estimation using EBLUPs under the Nested Error Regression Model Ziyang Lyu* and A.H. Welsh
4. SS-2022-0029 [Supp]	doi:10.5705/ss.202022.0029
An Extreme-Value Test for Structural Breaks in Spatial Trends Chenyu Han, Ngai Hang Chan* and Chun Yip Yau
5. SS-2022-0382 [Supp]	doi:10.5705/ss.202022.0382
Rank Based Tests for High Dimensional White Noise Dachuan Chen, Fengyi Song and Long Feng*
6. SS-2023-0056	doi:10.5705/ss.202023.0056
Empirical Likelihood Using External Summary Information Lyu Ni, Jun Shao, Jinyi Wang and Lei Wang*
7. SS-2023-0069 [Supp]	doi:10.5705/ss.202023.0069
High-Dimensional Behaviour of Some Two-Sample Tests Based on Ball Divergence Bilol Banerjee and Anil K. Ghosh*
8. SS-2023-0014 [Supp]	doi:10.5705/ss.202023.0014
Mode-Based Classifier: A Robust and Flexible Discriminant Analysis for High-Dimensional Data Wei Xiong, Wolfgang Karl Härdle, Jianrong Wang, Keming Yu and Maozai Tian*
9. SS-2022-0121 [Supp]	doi:10.5705/ss.202022.0121
Statistical Inference for Heavy-Tailed and Partially Nonstationary Vector ARMA Models Feifei Guo and Shiqing Ling*
10. SS-2023-0071 [Supp]	doi:10.5705/ss.202023.0071
Statistical Inference for Mean Functions of Complex 3D Objects Yueying Wang, Guannan Wang, Brandon Klinedinst, Auriel Willette and Lily Wang*
11. SS-2022-0414 [Supp]	doi:10.5705/ss.202022.0414
Constrained D-Optimal Design for Paid Research Study Yifei Huang, Liping Tong and Jie Yang*
12.SS-2023-0082 [Supp]	doi:10.5705/ss.202023.0082
Asymptotic Analysis of Mis-Classified Linear Mixed Models Haiqiang Ma and Jiming Jiang*
13. SS-2023-0151 [Supp]	doi:10.5705/ss.202022.0416
Multivariate Calibrations With Auxiliary Information Pei Feng Tong, Song Xi Chen* and Cheng Yong Tang
14. SS-2023-0065 [Supp]	doi:10.5705/ss.202023.0065
On Block Cholesky Decomposition for Sparse Inverse Covariance Estimation Xiaoning Kang, Jiayi Lian and Xinwei Deng*
15. SS-2022-0016	doi:10.5705/ss.202022.0016
Asymptotic Behaviour of the Modified Likelihood Root Yanbo Tang* and Nancy Reid
16. SS-2023-0098 [Supp]	doi:10.5705/ss.202023.0098
An Unbiased Predictor for Skewed Response Variable With Measurement Error in Covariate Sepideh Mosaferi*, Malay Ghosh and Shonosuke Sugasawa
17. SS-2023-0124 [Supp]	doi:10.5705/ss.202023.0124
Leverage Classifier: Another Look at Support Vector Machine Yixin Han, Jun Yu, Nan Zhang, Cheng Meng, Ping Ma*, Wenxuan Zhong and Changliang Zou
18. SS-2022-0108 [Supp]	doi:10.5705/ss.202022.0108
Subsampling Based Community Detection for Large Networks Sayan Chakrabarty, Srijan Sengupta and Yuguo Chen*
19. SS-2022-0064 [Supp]	doi:10.5705/ss.202022.0064
Modeling and Predicting Spatio-Temporal Dynamics of PM_2.5 Concentrations Through Time-Evolving Covariance Models Ghulam A. Qadir* and Ying Sun
20. SS-2022-0236 [Supp]	doi:10.5705/ss.202022.0236
Efficient Estimation and Inference for the Signed β-Model in Directed Signed Networks Haoran Zhang and Junhui Wang*
21. SS-2022-0277 [Supp]	doi:10.5705/ss.202022.0277
Optimal Subsampling for Multinomial Logistic Models With Big Data Zhiqiang Ye, Jun Yu and Mingyao Ai*
22. SS-2023-0075 [Supp]	doi:10.5705/ss.202023.0075
High-Dimensional Subgroup Regression Analysis Fei Jiang*, Tian Lu, Jian Kang and Lexin Li
23. SS-2022-0259 [Supp]	doi:10.5705/ss.202022.0259
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

Papers to appear in Volume 35, Online Special Issue II, July 2025 (Subject to change) Guest Editors: Jiashun Jin, Tracy Ke, Emma Jingfei Zhang, Ji Zhu (in alphabetical order) Corresponding author*
Network Data Analysis
1. SS-2023-0081 [Supp]	doi:10.5705/ss.202023.0081
A Pseudo-Likelihood Approach to Community Detection in Weighted Networks Andressa Cerqueira* and Elizaveta Levina
2. SS-2022-0372 [Supp]	doi:10.5705/ss.202022.0372
Community Extraction of Network Data Under Stochastic Block Models Quan Yuan, Binghui Liu*, Danning Li and Yanyuan Ma
3. SS-2023-0061 [Supp]	doi:10.5705/ss.202023.0061
Orthogonal Symmetric Non-Negative Matrix Factorization Under the Stochastic Block Model Subhadeep Paul and Yuguo Chen*
4. SS-2022-0411 [Supp]	doi:10.5705/ss.202022.0411
Scalable Community Detection in Massive Networks Using Aggregated Relational Data Timothy Jones, Owen G. Ward, Yiran Jiang, John Paisley and Tian Zheng*
5. SS-2022-0341 [Supp]	doi:10.5705/ss.202022.0341
Perfect Spectral Clustering With Discrete Covariates Jonathan Hehir, Xiaoyue Niu* and Aleksandra Slavkovic
6. SS-2022-0413 [Supp]	doi:10.5705/ss.202022.0413
Optimally Monitoring a Network of Sewage Manholes in Infectious Disease Surveillance Leyao Zhang, Yahui Zhang, Chuanwu Xi and Peter X.-K. Song*
7. SS-2023-0050 [Supp]	doi:10.5705/ss.202023.0050
A Continuous-Time Stochastic Process for High-Resolution Network Data in Sports Nicholas Grieshop, Yong Feng, Guanyu Hu and Michael Schweinberger*
8. SS-2024-0048 [Supp]	doi:10.5705/ss.202024.0048
Multiscale Tests for Point Processes and Longitudinal Networks Youmeng Jiang and Min Xu*