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Volume 36, Number 3, July 2026

Model Averaging Estimation for Partially Linear Functional Score Models
Shishi Liu, Chunming Zhang, Hao Zhang, Rou Zhong and Jingxiao Zhang*
doi:10.5705/ss.202023.0067
Principal Sub-manifolds
Zhigang Yao*, Benjamin Eltzner and Tung Pham
doi:10.5705/ss.202021.0163
Testing for the Equality of Distributions in High Dimension
Xu Li, Gongming Shi and Baoxue Zhang*
doi:10.5705/ss.202023.0299
Nearly Optimal Two-step Poisson Sampling and Empirical Likelihood Weighting Estimation for M-estimation with Big Data
Yan Fan, Yang Liu, Yukun Liu* and Jing Qin
doi:10.5705/ss.202023.0274
Intrinsic Minimum Average Variance Estimation for Dimension Reduction with Symmetric Positive Definite Matrices and Beyond
Baiyu Chen, Shuang Dai and Zhou Yu*
doi:10.5705/ss.202023.0268
Two Kernel-based Feature Screening Procedures for High-dimensional Response Data
Yuke Shi, Na Li, Qizhai Li, Dongdong Pan and Jinjuan Wang*
doi:10.5705/ss.202023.0290
Bayesian Statistics by Arithmetic Operations of Conjugate Distributions
Hang Qian*
doi:10.5705/ss.202024.0052
Identifiability and Estimation of Causal Effects with Non-Gaussianity and Auxiliary Covariates
Kang Shuai, Shanshan Luo, Yue Zhang, Feng Xie and Yangbo He*
doi:10.5705/ss.202023.0315
Locally Optimal Designs for Estimating One or More Functions of Shared Parameters Between Two Groups in Biomedical Studies
Xin Liu, Rong-Xian Yue and Weng Kee Wong*
doi:10.5705/ss.202023.0284
Optimal Averaging Estimation for Density Functions
Peng Lin, Jun Liao, Zudi Lu, Kang You and Guohua Zou*
doi:10.5705/ss.202022.0410
Asymptotic Results for Penalized Quasi-Likelihood Estimation in Generalized Linear Mixed Models
Xu Ning*, Francis Hui and Alan Welsh
doi:10.5705/ss.202023.0343
Global Group Testing and Screening with Dynamic Effects
Ying Cui and Limin Peng*
doi:10.5705/ss.202023.0285
Testing for Variance Changes under Varying Mean and Serial Correlation
Cheuk Wai Leung and Kin Wai Chan*
doi:10.5705/ss.202023.0238
VALISE: A Robust Vertex Hunting Algorithm
Dieyi Chen, Tracy Ke and Shuyi Zhang*
doi:10.5705/ss.202023.0159
Identifying Causal Effects Using Instrumental Variables from the Auxiliary Dataset
Kang Shuai, Shanshan Luo*, Wei Li and Yangbo He
doi:10.5705/ss.202024.0006
Estimation and Goodness-of-Fit Testing for Non-Negative Random Variables with Explicit Laplace Transform
Lucio Barabesi, Antonio Di Noia, Marzia Marcheselli, Caterina Pisani* and Luca Pratelli
doi:10.5705/ss.202023.0393
Balanced Subsampling for Big Data with Categorical Predictors
Lin Wang*
doi:10.5705/ss.202023.0434
Complete Consecutive Order-Pairing (CCOP) Design and Its Distance-based Linear Model: Design Construction and Analysis for Order-of-Addition (OofA) Experiments
Jing-Wen Huang and Frederick Kin Hing Phoa*
doi:10.5705/ss.202023.0357
Powerful Spatial Multiple Testing via Borrowing Neighboring Information
Linsui Deng, Kejun He* and Xianyang Zhang
doi:10.5705/ss.202024.0152
Bayesian Optimization with Pareto-Principled Training for Economical Hyperparameter Optimization
Yang Yang, Ke Deng* and Yu Zhu
doi:10.5705/ss.202023.0310
Optimal Model Averaging for Imbalanced Classification
Ze Chen, Jun Liao, Wangli Xu and Yuhong Yang*
doi:10.5705/ss.202024.0012
On Doubly Robust Estimation with Nonignorable Missing Data Using Instrumental Variables
Baoluo Sun*, Wang Miao and Deshanee S. Wickramarachchi
doi:10.5705/ss.202023.0383
Inference on Large-scale Generalized Functional Linear Model
Kaijie Xue and Riquan Zhang*
doi:10.5705/ss.202023.0356
Functional Linear Models with Latent Factors
Zixuan Han, Tao Li, Jinhong You and Jiguo Cao*
doi:10.5705/ss.202024.0028

 

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
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 Härdle
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