| Corresponding author* Contributed equally# |
| High Dimensional Learning and Inference |
| |
Simultaneous Change Point Detection and Identification for High-Dimensional Linear Models
Bin Liu, Xinsheng Zhang and Yufeng Liu* |
Supp |
doi:10.5705/ss.202023.0212
S85 |
| |
Change Point Detection for High-Dimensional Linear Models: a General Tail-Adaptive Approach
Bin Liu, Zhengling Qi, Xinsheng Zhang and Yufeng Liu* |
Supp |
doi:10.5705/ss.202023.0337
S107 |
| |
Testing for High-Dimensional White Noise
Long Feng, Binghui Liu*, and Yanyuan Ma |
Supp |
doi:10.5705/ss.202023.0300
S131 |
| |
Sparse Factor Model for High Dimensional Time Series
Xiaoran Wu, Baojun Dou and Rongmao Zhang* |
Supp |
doi:10.5705/ss.202023.0219
S153 |
| |
A Quasi Synthetic Control Method for Nonlinear Models with High-Dimensional Covariates
Zongwu Cai, Ying Fang, Ming Lin* and Zixuan Wu |
Supp |
doi:10.5705/ss.202023.0271
S179 |
| |
Convoluted Support Matrix Machine in High Dimensions
Bingzhen Chen and Canyi Chen* |
Supp |
doi:10.5705/ss.202024.0194
S203 |
| |
Statistical Inference for Ultrahigh Dimensional Location Parameter Based on Spatial Median
Guanghui Cheng, Liuhua Peng and Changliang Zou* |
Supp |
doi:10.5705/ss.202023.0242
S221 |
| |
Weighted Conditional Network Testing for Multiple High-Dimensional Correlated Data Sets
Takwon Kim, Inyoung Kim*, and Ki-Ahm Lee |
Supp |
doi:10.5705/ss.202024.0330
S247 |
