Forthcoming Issue

Papers to appear in Volume 33, No. 2, April 2023

The following publication schedule is subject to change.

Corresponding author*

General  
1. SS-2020-0207 [Supp]
doi:10.5705/ss.202020.0207
Nonparametric Maximum Likelihood Estimation Under a Likelihood Ratio Order
Ted Westling*, Kevin J. Downes and Dylan S. Small
2. SS-2021-0024
doi:10.5705/ss.202021.0024
On Construction of Nonregular Two-Level Factorial Designs With Maximum Generalized Resolutions
Chenlu Shi and Boxin Tang*
3. SS-2020-0243 [Supp]
doi:10.5705/ss.202020.0243
Robust Recommendation via Social Network Enhanced Matrix Completion
Jingxuan Wang, Haipeng Shen and Fei Jiang*
4. SS-2020-0401 [Supp]
doi:10.5705/ss.202020.0401
Penalized Regression for Multiple Types of Many Features With Missing Data
Kin Yau Wong*, Donglin Zeng and D. Y. Lin
5. SS-2020-0352 [Supp]
doi:10.5705/ss.202020.0352
Scaled Partial Envelope Model in Multivariate Linear Regression
Jing Zhang, Zhensheng Huang* and Lixing Zhu
6. SS-2021-0051 [Supp}
doi:10.5705/ss.202021.0051
Sieve Estimation of a Class of Partially Linear Transformation Models With Interval-Censored Competing Risks Data
Xuewen Lu*, Yan Wang, Dipankar Bandyopadhyay and Giorgos Bakoyannis
7. SS-2020-0446 [Supp}
doi:10.5705/ss.202020.0446
Arc-Sin Transformation for Binomial Sample Proportions in Small Area Estimation
Masayo Y. Hirose*, Malay Ghosh and Tamal Ghosh
8. SS-2021-0002 [Supp]
doi:10.5705/ss.202021.0002
Heterogeneity Analysis via Integrating Multi-Sources High-Dimensional Data With Applications to Cancer Studies
Tingyan Zhong, Qingzhao Zhang, Jian Huang, Mengyun Wu and Shuangge Ma*
9. SS-2020-0449 [Supp]
doi:10.5705/ss.202020.0449
Weak Signal Identification and Inference in Penalized Likelihood Models for Categorical Responses
Yuexia Zhang, Peibei Shi, Zhongyi Zhu, Linbo Wang and Annie Qu*
10. SS-2021-0029 [Supp]
doi:10.5705/ss.202021.0029
Testing and Modelling for the Structural Change in Covariance Matrix Time Series With Multiplicative Form
Feiyu Jiang, Dong Li, Wai Keung Li and Ke Zhu*
11. SS-2020-0294 [Supp]
doi:10.5705/ss.202020.0294
Modeling Spiky Functional Data With Derivatives of Smooth Functions in Function-on-Function Regression
Ruiyan Luo* and Xin Qi
12. SS-2021-0071 [Supp]
doi:10.5705/ss.202021.0071
Trade-off Between Validity and Efficiency of Merging P-Values Under Arbitrary Dependence
Yuyu Chen*, Peng Liu, Ken Seng Tan and Ruodu Wang
13. SS-2021-0048 [Supp]
doi:10.5705/ss.202021.0048
Moving Sum Data Segmentation for Stochastic Processes Based on Invariance
Claudia Kirch* and Philipp Klein
14. SS-2020-0456 [Supp]
doi:10.5705/ss.202020.0456
A Clustered Gaussian Process Model for Computer Experiments
Chih-Li Sung*, Benjamin Haaland, Youngdeok Hwang and Siyuan Lu
15. SS-2020-0339 [Supp]
doi:10.5705/ss.202020.0339
Unified Tests for Nonparametric Functions in RKHS With Kernel Selection and Regularization
Tao He, Ping-Shou Zhong*, Yuehua Cui and Vidyadhar Mandrekar
16. SS-2021-0140 [Supp]
doi:10.5705/ss.202021.0140
Sparse and Low-Rank Matrix Quantile Estimation With Application to Quadratic Regression
Wenqi Lu, Zhongyi Zhu and Heng Lian*
17. SS-2021-0036 [Supp]
doi:10.5705/ss.202021.0036
Regression Analysis of Panel Count Data With Both Time-Dependent Covariates and Time-Varying Effects
Yuanyuan Guo, Dayu Sun and Jianguo Sun*
18. SS-2020-0520
doi:10.5705/ss.202020.0520
The Identifiability of Copula Models for Dependent Competing Risks Data With Exponentially Distributed Margins
Antai Wang*
19. SS-2021-0070 [Supp]
doi:10.5705/ss.202021.0070
Semiparametric Estimation of Probabilistic Index Models: Efficiency and Bias
Karel Vermeulen, Jan De Neve*, Gustavo Amorim, Olivier Thas and Stijn Vansteeland
20. SS-2021-0078 [Supp]
doi:10.5705/ss.202021.0078
A Stratified Penalization Method for Semiparametric Variable Labeling of Multi-Output Time-Varying Coefficient Models
Ting Zhang*, Weiliang Wang and Yu Shao
21. SS-2020-0480 [Supp]
doi:10.5705/ss.202020.0480
Optimal Function-on-Function Regression With Interaction Between Functional Predictors
Honghe Jin, Xiaoxiao Sun* and Pang Du
22. SS-2021-0027 [Supp]
doi:10.5705/ss.202021.0027
Parametric Bootstrap Inference for Stratified Models With High-Dimensional Nuisance Specifications
Ruggero Bellio*, Ioannis Kosmidis, Alessandra Salvan and Nicola Sartori
23. SS-2021-0233 [Supp]
doi:10.5705/ss.202021.0233
Empirical Likelihood Ratio Tests for Varying Coefficient Geo Models
Shuoyang Wang, Honglang Wang, Yichuan Zhao, Guanqun Cao* and Yingru Li