Latest Articles

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High Dimensional Learning and Inference

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

 

Volume 36,  Number 4, October  2026

Leveraging Local Distributions in Mendelian Randomization: Uncertain Opinions are Invalid
Ziya Xu and Sai Li*
doi:10.5705/ss.202023.0344
Fisher's Combined Probability Test for Cross-Sectional Independence in Panel Data Models With Serial Correlation
Hongfei Wang, Binghui Liu, Long Feng* and Yanyuan Ma
doi:10.5705/ss.202023.0348
Two-Level Isomorphic Foldovers Designs
Chunyan Wang* and Dennis K. J. Lin
doi:10.5705/ss.202023.0401
Reproducible Learning in Large-Scale Multiple Graphical Models
Jia Zhou*, Guangming Pan, Zeming Zheng and Changchun Tan
doi:10.5705/ss.202023.0099
New Feature Screening Methods for Massive Interval-Censored Failure Time Data
Huiqiong Li, Zhimiao Cao, Jianguo Sun* and Niansheng Tang
doi:10.5705/ss.202023.0309
A Robust Framework for Graph-Based Two-Sample Tests Using Weights
Yichuan Bai* and Lynna Chu
doi:10.5705/ss.202023.0408
Localizing Multivariate CAViaR
Xiu Xu, Yegor Klochkov, Li Chen* and Wolfgang Karl H?le
doi:10.5705/ss.202022.0397
Kernel Mode-Based Regression Under Random Truncation
Tao Wang* and Weixin Yao
doi:10.5705/ss.202023.0288
The Method of Limits and Its Application to the Analysis of Count Data in Genome-Wide Association Studies
Jiming Jiang*, Leqi Xu, Yiliang Zhang and Hongyu Zhao
doi:10.5705/ss.202024.0092
Bayesian Inference of Spatially Varying Correlations via the Thresholded Correlation Gaussian Process
Moyan Li, Lexin Li and Jian Kang*
doi:10.5705/ss.202023.0312
Statistical Inference for Local Granger Causality
Yan Liu*, Masanobu Taniguchi and Hernando Ombao
doi:10.5705/ss.202023.0317
Multiscale Autoregression on Adaptively Detected Timescales
Rafal Baranowski, Yining Chen* and Piotr Fryzlewicz
doi:10.5705/ss.202023.0017
Sufficient Dimension Reduction for Classification
Xin Chen, Jingjing Wu, Zhigang Yao and Jia Zhang*
doi:10.5705/ss.202023.0143
A Locally Adaptive Algorithm for Multiple Testing With Network Structure
Ziyi Liang, T. Tony Cai, Wenguang Sun and Yin Xia*
doi:10.5705/ss.202024.0002
Likelihood-Free Gibbs Sequential Monte Carlo Sampling
Weixuan Zhu, Wei Li and Weining Shen*
doi:10.5705/ss.202023.0332
An Automatic MDDM-Based Test for Martingale Difference Hypothesis
Chenglong Zhong and Guochang Wang*
doi:10.5705/ss.202024.0035
The Population and Personalized Areas Under the Receiving Operating Characteristic Curve
Haben Michael* and Lu Tian
doi:10.5705/ss.202024.0100
Inference for Delay Differential Equations Using Manifold-Constrained Gaussian Processes
Yuxuan Zhao and Samuel W.K. Wong*
doi:10.5705/ss.202024.0213
Probit Time-to-Event Regression for Misclassified Group Testing Data
Lijun Fang, Tao Hu, Shuwei Li*, Lianming Wang, Christopher S. McMahan and Joshua M. Tebbs
doi:10.5705/ss.202024.0099
A Semiparametric Quantile Single-Index Model for Zero-Inflated Outcomes
Zirui Wang and Tianying Wang*
doi:10.5705/ss.202024.0104
On Efficient Estimation for Value-at-Risk via Location-Scale Time Series Models
Chaoxu Lei and Qianqian Zhu*
doi:10.5705/ss.202024.0167
Functional Joint Models for Imaging Genetic Data
Qingzhi Zhong, Xinyuan Song and Hongtu Zhu*
doi:10.5705/ss.202023.0152
Win Ratio for Partially Ordered Data
Lu Mao*
doi:10.5705/ss.202023.0321