This publication schedule is subject to change.
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Volume 36, Number 4, October 2026 |
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Leveraging Local Distributions in Mendelian Randomization: Uncertain Opinions are Invalid
Ziya Xu and Sai Li* |
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doi:10.5705/ss.202023.0344
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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 |
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doi:10.5705/ss.202023.0348
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Two-Level Isomorphic Foldovers Designs
Chunyan Wang* and Dennis K. J. Lin |
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doi:10.5705/ss.202023.0401
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Reproducible Learning in Large-Scale Multiple Graphical Models
Jia Zhou*, Guangming Pan, Zeming Zheng and Changchun Tan |
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doi:10.5705/ss.202023.0099
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New Feature Screening Methods for Massive Interval-Censored Failure Time Data
Huiqiong Li, Zhimiao Cao, Jianguo Sun* and Niansheng Tang |
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doi:10.5705/ss.202023.0309
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A Robust Framework for Graph-Based Two-Sample Tests Using Weights
Yichuan Bai* and Lynna Chu |
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doi:10.5705/ss.202023.0408
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Localizing Multivariate CAViaR
Xiu Xu, Yegor Klochkov, Li Chen* and Wolfgang Karl H?le |
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doi:10.5705/ss.202022.0397
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Kernel Mode-Based Regression Under Random Truncation
Tao Wang* and Weixin Yao |
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doi:10.5705/ss.202023.0288
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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 |
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doi:10.5705/ss.202024.0092
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Bayesian Inference of Spatially Varying Correlations via the Thresholded Correlation Gaussian Process
Moyan Li, Lexin Li and Jian Kang* |
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doi:10.5705/ss.202023.0312
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Statistical Inference for Local Granger Causality
Yan Liu*, Masanobu Taniguchi and Hernando Ombao |
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doi:10.5705/ss.202023.0317
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Multiscale Autoregression on Adaptively Detected Timescales
Rafal Baranowski, Yining Chen* and Piotr Fryzlewicz |
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doi:10.5705/ss.202023.0017
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Sufficient Dimension Reduction for Classification
Xin Chen, Jingjing Wu, Zhigang Yao and Jia Zhang* |
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doi:10.5705/ss.202023.0143
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A Locally Adaptive Algorithm for Multiple Testing With Network Structure
Ziyi Liang, T. Tony Cai, Wenguang Sun and Yin Xia* |
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doi:10.5705/ss.202024.0002
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Likelihood-Free Gibbs Sequential Monte Carlo Sampling
Weixuan Zhu, Wei Li and Weining Shen* |
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doi:10.5705/ss.202023.0332
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An Automatic MDDM-Based Test for Martingale Difference Hypothesis
Chenglong Zhong and Guochang Wang* |
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doi:10.5705/ss.202024.0035
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The Population and Personalized Areas Under the Receiver Operating Characteristic Curve
Haben Michael* and Lu Tian |
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doi:10.5705/ss.202024.0100
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Inference for Delay Differential Equations Using Manifold-Constrained Gaussian Processes
Yuxuan Zhao and Samuel W.K. Wong* |
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doi:10.5705/ss.202024.0213
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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 |
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doi:10.5705/ss.202024.0099
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A Semiparametric Quantile Single-Index Model for Zero-Inflated Outcomes
Zirui Wang and Tianying Wang* |
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doi:10.5705/ss.202024.0104
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On Efficient Estimation for Value-at-Risk via Location-Scale Time Series Models
Chaoxu Lei and Qianqian Zhu* |
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doi:10.5705/ss.202024.0167
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Functional Joint Models for Imaging Genetic Data
Qingzhi Zhong, Xinyuan Song and Hongtu Zhu* |
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doi:10.5705/ss.202023.0152
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Win Ratio for Partially Ordered Data
Lu Mao* |
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doi:10.5705/ss.202023.0321
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Volume 37, Number 1, January 2027 |
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Empirical Risk Minimization for Losses without Variance
Guanhua Fang*, Ping Li and Gennady Samorodnitsky |
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doi:10.5705/ss.202023.0329
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Functional Linear Operator Quantile Regression for Sparse Longitudinal Data
Xingcai Zhou, Tingyu Lai and Linglong Kong* |
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doi:10.5705/ss.202023.0415
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Distinguishing Forms of Asymptotic Dependence in Heavy Tailed Data
Tiandong Wang* and Sidney I. Resnick |
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doi:10.5705/ss.202024.0196
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Fast Cost-Constrained High Dimensional Regression
Hyeong Jin Hyun and Xiao Wang* |
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doi:10.5705/ss.202024.0331
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Distributed Inference for Tail Risks
Liujun Chen, Deyuan Li and Chen Zhou* |
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doi:10.5705/ss.202024.0222
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