Forthcoming Issue

Forthcoming Issue Volume 36, Online Special Issue II (subject to change) Corresponding author* Contributed equally^#
High Dimensional Learning and Inference
1. SS-2023-0212 [Supp]	doi:10.5705/ss.202023.0212
Simultaneous Change Point Detection and Identification for High-Dimensional Linear Models Bin Liu, Xinsheng Zhang and Yufeng Liu^*
2. SS-2023-0337 [Supp]	doi:10.5705/ss.202023.0337
Change Point Detection for High-dimensional Linear Models: A General Tail-Adaptive Approach Bin Liu, Zhengling Qi, Xinsheng Zhang and Yufeng Liu^*
3. SS-2023-0300 [Supp]	doi:10.5705/ss.202023.0300
Testing for High-Dimensional White Noise Long Feng, Binghui Liu^* and Yanyuan Ma
4. SS-2023-0219 [Supp]	doi:10.5705/ss.202023.0219
Sparse Factor Model for High Dimensional Time Series Xiaoran Wu, Baojun Dou and Rongmao Zhang^*
5. SS-2023-0271 [Supp]	doi:10.5705/ss.202023.0271
A Quasi Synthetic Control Method for Nonlinear Models With High-Dimensional Covariates Zongwu Cai, Ying Fang, Ming Lin^* and Zixuan Wu
6. SS-2024-0194 [Supp]	doi:10.5705/ss.202024.0194
Convoluted Support Matrix Machine in High Dimensions Bingzhen Chen and Canyi Chen^*
7. SS-2023-0242 [Supp]	doi:10.5705/ss.202023.0242
Statistical Inference for Ultrahigh Dimensional Location Parameter Based on Spatial Median Guanghui Cheng, Liuhua Peng and Changliang Zou^*
8. SS-2024-0330 [Supp]	doi:10.5705/ss.202024.0330
Weighted Conditional Network Testing for Multiple High-Dimensional Correlated Data Sets Takwon Kim, Inyoung Kim^* and Ki-Ahm Lee