Future Papers

This publication schedule is subject to change.

 

Volume 33,  Number 3, July  2023

A Sequential Probability Ratio Test for Sparse Gaussian Mixtures
Wenhua Jiang* and Cun-Hui Zhang
doi:10.5705/ss.202019.0218

 

Volume 33,  Number 4, October  2023

Identifying Latent Groups in Spatial Panel Data Using a Markov Random Field Constrained Product Partition Model
Tianyu Pan, Guanyu Hu and Weining Shen*
doi:10.5705/ss.202021.0247
A Simultaneous Likelihood Test for Joint Mediation Effects of Multiple Mediators
Wei Hao and Peter X.-K. Song*
doi:10.5705/ss.202021.0032
BOLT-SSI: A Statistical Approach to Screening Interaction Effects for Ultra-High Dimensional Data
Min Zhou, Mingwei Dai*, Yuan Yao, Jin Liu, Can Yang and Heng Peng
doi:10.5705/ss.202020.0498
Use of Random Integration to Test Equality of High Dimensional Covariance Matrices
Yunlu Jiang, Canhong Wen, Yukang Jiang, Xueqin Wang and Heping Zhang*
doi:10.5705/ss.202020.0486
The Binary Expansion Randomized Ensemble Test
Duyeol Lee, Kai Zhang and Michael R. Kosorok*
doi:10.5705/ss.202021.0100
Bayesian Predictive Inference Without a Prior
Patrizia Berti, Emanuela Dreassi, Fabrizio Leisen, Luca Pratelli and Pietro Rigo*
doi:10.5705/ss.202021.0238
Regression Analysis of Spatially Correlated Event Durations With Missing Origins Annotated by Longitudinal Measures
Yi Xiong, W. John Braun, Thierry Duchesne and X. Joan Hu*
doi:10.5705/ss.202021.0118
Simplex-based Multinomial Logistic Regression with Diverging Numbers of Categories and Covariates
Sheng Fu, Piao Chen*, Yufeng Liu and Zhisheng Ye
doi:10.5705/ss.202021.0082
Defining And Estimating Principal Stratum Specific Natural Mediation Effects With Semi-competing Risks Data
Fei Gao*, Fan Xia and Kwun Chuen Gary Chan
doi:10.5705/ss.202021.0167
Statistical Inference for Functional Time Series: Autocovariance Function
Chen Zhong and Lijian Yang*
doi:10.5705/ss.202021.0121
Regression with Set-Valued Categorical Predictors
Ganghua Wang, Jie Ding and Yuhong Yang*
doi:10.5705/ss.202021.0332
Identifiability of Hierarchical Latent Attribute Models
Yuqi Gu and Gongjun Xu*
doi:10.5705/ss.202021.0350
Spatial-temporal Model with Heterogeneous Random Effects
Xingdong Feng, Wenyu Li and Qianqian Zhu*
doi:10.5705/ss.202021.0280
Semiparametric Causal Mediation Analysis with Unmeasured Mediator-Outcome Confounding
BaoLuo Sun* and Ting Ye
doi:10.5705/ss.202021.0354
Functional Response Quantile Regression Model
Xingcai Zhou, Dehan Kong, A. B. Kashlak, Linglong Kong*, R. Karunamuni and Hongtu Zhu
doi:10.5705/ss.202021.0138
A Bayesian Subset Specific Approach to Joint Selection of Multiple Graphical Models
Peyman Jalali, Kshitij Khare and George Michailidis*
doi:10.5705/ss.202021.0245
Impact Analysis for Spatial Autoregressive Models: With Application to Air Pollution in China
Hsuan-Yu Chang and Jihai Yu*
doi:10.5705/ss.202021.0119
Lévy Adaptive B-spline Regression via Overcomplete Systems
Sewon Park*, Hee-Seok Oh and Jaeyong Lee
doi:10.5705/ss.202021.0288
On Construction of Optimal Exact Confidence Intervals
Weizhen Wang*
doi:10.5705/ss.202021.0322
Nonparametric Estimation and Testing for Panel Count Data with Informative Terminal Event
Xiangbin Hu, Li Liu, Ying Zhang and Xingqiu Zhao*
doi:10.5705/ss.202021.0213
Measuring, Testing, and Identifying Heterogeneity of Large Parallel Datasets
Liuhua Peng, Guanghui Wang and Changliang Zou*
doi:10.5705/ss.202021.0285

Sequential Monte Carlo

An Iterated Block Particle Filter for Inference on Coupled Dynamic Systems With Shared and Unit-Specific Parameters
Edward Ionides*, Ning Ning and Jesse Wheeler
doi:10.5705/ss.202022.0188
A Langevinized Ensemble Kalman Filter for Large-Scale Dynamic Learning
Peiyi Zhang, Qifan Song and Faming Liang*
doi:10.5705/ss.202022.0172
Resampling Strategy in Sequential Monte Carlo for Constrained Sampling Problems
Chencheng Cai*, Rong Chen and Ming Lin
doi:10.5705/ss.202022.0185
A Divide and Conquer Sequential Monte Carlo Approach to High Dimensional Filtering
Francesca R. Crucinio* and Adam M. Johansen
doi:10.5705/ss.202022.0243
Particle-based, Rapid Incremental Smoother Meets Particle Gibbs
Gabriel Cardoso*, Eric Moulines and Jimmy Olsson
doi:10.5705/ss.202022.0215
Approximating Optimal SMC Proposal Distributions in Individual-Based Epidemic Models
Lorenzo Rimella*, Christopher Jewell and Paul Fearnhead
doi:10.5705/ss.202022.0198
De-biasing Particle Filtering for a Continuous Time Hidden Markov Model With a Cox Process Observation Model
Ruiyang Jin*, Sumeetpal S. Singh and Nicolas Chopin
doi:10.5705/ss.202022.0210

 

Volume 34,  Number 1, January  2024

Factor-augmented Model for Functional Data
Yuan Gao, Han Lin Shang and Yanrong Yang*
doi:10.5705/ss.202021.0223
Selection of Proposal Distributions for Multiple Importance Sampling
Vivekananda Roy* and Evangelos Evangelou
doi:10.5705/ss.202021.0049
Fast Construction of Optimal Composite Likelihoods
Zhendong Huang* and Davide Ferrari
doi:10.5705/ss.202021.0235
Generalized Odds Rate Frailty Models for Current Status Data with Informative Censoring
Yang Xu, Shishun Zhao, Tao Hu* and Jianguo Sun
doi:10.5705/ss.202021.0411
A Spectral-Based Framework for Hypothesis Testing in Populations of Networks
Li Chen, Nathaniel Josephs*, Lizhen Lin, Jie Zhou and Eric D. Kolaczyk
doi:10.5705/ss.202021.0306
Outlier-Resistant Estimators for Average Treatment Effect in Causal Inference
Kazuharu Harada* and Hironori Fujisawa
doi:10.5705/ss.202021.0254
Threshold Estimation in Proportional Mean Residual Life Model
Bing Wang and Xinyuan Song*
doi:10.5705/ss.202022.0017
Parsimonious Tensor Discriminant Analysis
Ning Wang, Wenjing Wang and Xin Zhang*
doi:10.5705/ss.202020.0496
Test for Informative Cluster Size with Right Censored Survival Data
Alessandra Meddis* and Aurélien Latouche
doi:10.5705/ss.202021.0349
Group Testing Regression Analysis with Missing Data and Imperfect Tests
Aurore Delaigle and Ruoxu Tan*
doi:10.5705/ss.202021.0382
A Pairwise Hotelling Method for Testing High-Dimensional Mean Vectors
Zongliang Hu, Tiejun Tong* and Marc G. Genton
doi:10.5705/ss.202021.0369
Shape Constrained Kernel PDF and PMF Estimation
Pang Du, Christopher F. Parmeter and Jeffrey S. Racine*
doi:10.5705/ss.202021.0112
DeepKriging: Spatially Dependent Deep Neural Networks for Spatial Prediction
Wanfang Chen, Yuxiao Li, Brian J Reich and Ying Sun*
doi:10.5705/ss.202021.0277
Drift Estimation of the Threshold Ornstein-Uhlenbeck Process From Continuous and Discrete Observations
Sara Mazzonetto and Paolo Pigato*
doi:10.5705/ss.202021.0275
Test for Zero Mean of Errors In An ARMA-GGARCH Model After Using A Median Inference
Yaolan Ma, Mo Zhou, Liang Peng and Rongmao Zhang*
doi:10.5705/ss.202022.0013
Adaptive Randomization via Mahalanobis Distance
Yichen Qin, Yang Li, Wei Ma, Haoyu Yang and Feifang Hu*
doi:10.5705/ss.202020.0440
Learning Non-monotone Optimal Individualized Treatment Regimes
Trinetri Ghosh*, Yanyuan Ma, Wensheng Zhu and Yuanjia Wang
doi:10.5705/ss.202021.0339
Designs for Order-of-Addition Screening Experiments
Zack Stokes and Hongquan Xu*
doi:10.5705/ss.202021.0410
A Zero-imputation Approach in Recommendation Systems with Data Missing Heterogeneously
Jiashen Lu* and Kehui Chen
doi:10.5705/ss.202021.0429
A Note on Information Bias and Efficiency of Composite Likelihood
Libai Xu, Nancy Reid and Ximing Xu*
doi:10.5705/ss.202022.0167
Unbiased Boosting Estimation for Censored Survival Data
Li-Pang Chen and Grace Yi*
doi:10.5705/ss.202021.0050
Model-Assisted Inference for Covariate-Specific Treatment Effects with High-dimensional Data
Peng Wu, Zhiqiang Tan, Wenjie Hu and Xiao-Hua Zhou*
doi:10.5705/ss.202022.0089

 

Volume 34,  Number 2, April  2024

Community Detection in Censored Hypergraph
Mingao Yuan*, Bin Zhao and Xiaofeng Zhao
doi:10.5705/ss.202021.0392
Multi-response Regression for Block-missing Multi-modal Data without Imputation
Haodong Wang, Quefeng Li and Yufeng Liu*
doi:10.5705/ss.202021.0170
On the Efficiency of Composite Likelihood Estimation for Gaussian Spatial Processes
Nelson J. Y. Chua*, Francis K. C. Hui and A. H. Welsh
doi:10.5705/ss.202020.0311
Measures of Uncertainty for Shrinkage Model Selection
Yuanyuan Li and Jiming Jiang*
doi:10.5705/ss.202021.0281
Nonparametric Tests of Independence for Circular Data Based on Trigonometric Moments
Eduardo García-Portugués*, Pierre Lafaye de Micheaux, Simos G. Meintanis and Thomas Verdebout
doi:10.5705/ss.202021.0416
Synthesis of Order-of-Addition Models
Robert W. Mee*
doi:10.5705/ss.202022.0003
A Systematic View of Information-Based Optimal Subdata Selection: Algorithm Development, Performance Evaluation, and Application in Financial Data
Li He, William Li*, Difan Song and Min Yang
doi:10.5705/ss.202022.0019
Balanced Donor Imputation Handling Swiss Cheese Nonresponse
Esther Eustache*, Audrey-Anne Vallée and Yves Tillé
doi:10.5705/ss.202021.0331
Inference for Projection-Based Wasserstein Distances on Finite Spaces
Ryo Okano and Masaaki Imaizumi*
doi:10.5705/ss.202022.0070
Spatial Autoregressive Models with Generalized Spatial Disturbances
Kuangnan Fang, Wei Lan*, Dan Pu and Qingzhao Zhang
doi:10.5705/ss.202021.0377
Quasi-maximum Likelihood Inference for Linear Double Autoregressive Models
Hua Liu, Songhua Tan and Qianqian Zhu*
doi:10.5705/ss.202022.0049
Inference on Large-scale Partially Functional Linear Model with Heterogeneous Errors
Kaijie Xue and Fang Yao*
doi:10.5705/ss.202022.0077
A Unified Approach to Focused Information Criterion and Plug-In Averaging Method
Xinyu Zhang and Chu-An Liu*
doi:10.5705/ss.202021.0266
Propensity Score Regression for Causal Inference With Treatment Heterogeneity
Peng Wu*, Shasha Han, Xingwei Tong and Runze Li
doi:10.5705/ss.202022.0008
Pseudo-Bayesian Approach for Quantile Regression Inference: Adaptation to Sparsity
Yuanzhi Li* and Xuming He
doi:10.5705/ss.202021.0338
Simultaneous Functional Quantile Regression
Boyi Hu, Xixi Hu, Hua Liu, Jinhong You and Jiguo Cao*
doi:10.5705/ss.202021.0248
Test of the Latent Dimension of a Spatial Blind Source Separation Model
Christoph Muehlmann, Francois Bachoc, Klaus Nordhausen and Mengxi Yi*
doi:10.5705/ss.202021.0326
Functional Threshold Autoregressive Model
Yuanbo Li, Kun Chen*, Xunze Zheng and Chun-Yip Yau
doi:10.5705/ss.202022.0096
Dynamic Copula-Based Nonparametric Estimation of Rank-Tracking Probabilities With Longitudinal Data
Xiaoyu Zhang, Mixia Wu* and Colin O. Wu
doi:10.5705/ss.202021.0422
A Perturbation Subsampling for Large Scale Data
Yujing Yao and Zhezhen Jin*
doi:10.5705/ss.202022.0020
A Unified Framework for Tuning Hyperparameters in Clustering Problems
Xinjie Fan, Y. X. Rachel Wang*, Purnamrita Sarkar and Yuguang Yue
doi:10.5705/ss.202021.0427

 

Volume 34,  Number 3, July  2024

Statistical Inference for Mean Function of Longitudinal Imaging Data over Complicated Domains
Qirui Hu and Jie Li*
doi:10.5705/ss.202021.0415
On Estimation of the Logarithm of the Mean Squared Prediction Error of A Mixed-effect Predictor
Jianling Wang, Thuan Nguyen, Yihui Luan and Jiming Jiang*
doi:10.5705/ss.202022.0043
Sharp Bounds for Variance of Treatment Effect Estimators in the Presence of Covariates
Ruoyu Wang, Qihua Wang*, Wang Miao and Xiaohua Zhou
doi:10.5705/ss.202021.0351
Statistical Inference for Genetic Relatedness Based on High-Dimensional Logistic Regression
Rong Ma, Zijian Guo, T. Tony Cai and Hongzhe Li*
doi:10.5705/ss.202021.0386
Integrating Incomplete Data for Mediation Analysis
Andriy Derkach*, Joshua N. Sampson and Ruth M. Pfeiffer
doi:10.5705/ss.202021.0373
Bayesian Consistency with the Supremum Metric
Nhat Ho and Stephen G. Walker*
doi:10.5705/ss.202022.0062
Robust Optimization and Inference on Manifolds
Lizhen Lin*, Drew Lazar, Bayan Saparbayeva and David Dunson
doi:10.5705/ss.202022.0149
Asymptotic Behavior of the Maximum Likelihood Estimator for General Markov Switching Models
Cheng-Der Fuh and Tianxiao Pang*
doi:10.5705/ss.202021.0336
An Integer Programming Algorithm for Constructing Maximin Distance Designs From Good Lattice Point Sets
Alan R. Vazquez* and Hongquan Xu
doi:10.5705/ss.202021.0362
Response Variable Selection in Multivariate Linear Regression
Kshitij Khare and Zhihua Su*
doi:10.5705/ss.202022.0127
Nonlinear Dimension Reduction for Functional Data With Application to Clustering
Ruoxu Tan*, Yiming Zang and Guosheng Yin
doi:10.5705/ss.202021.0393
Testing for Threshold Regulation in Presence of Measurement Error
Kung-Sik Chan*, Simone Giannerini, Greta Goracci and Howell Tong
doi:10.5705/ss.202022.0125
Joint Modeling of Change-Point Identification and Dependent Dynamic Community Detection
Diqing Li, Yubai Yuan, Xinsheng Zhang and Annie Qu*
doi:10.5705/ss.202021.0182
Identification of Partial-Differential-Equations-Based Models from Noisy Data with Splines
Yujie Zhao*, Xiaoming Huo and Yajun Mei
doi:10.5705/ss.202022.0061
Scalable Estimation for High Velocity Survival Data Able to Accommodate Addition of Covariates
Ying Sheng, Yifei Sun, Charles E. McCulloch and Chiung-Yu Huang*
doi:10.5705/ss.202022.0028
On Combining Individual-Level Data With Summary Data in Statistical Inferences
Lu Deng, Sheng Fu, Jing Qin and Kai Yu*
doi:10.5705/ss.202022.0228
Robust Estimation of Covariance Matrices: Adversarial Contamination and Beyond
Stanislav Minsker* and Lang Wang
doi:10.5705/ss.202021.0388
Optimal Classification for Functional Data
Shuoyang Wang, Zuofeng Shang, Guanqun Cao* and Jun S. Liu
doi:10.5705/ss.202022.0057
An Rkhs Approach for Pivotal Inference in Functional Linear Regression
Holger Dette* and Jiajun Tang
doi:10.5705/ss.202022.0086
Functional Horseshoe Smoothing for Functional Trend Estimation
Tomoya Wakayama* and Shonosuke Sugasawa
doi:10.5705/ss.202022.0297
Grouped Network Poisson Autoregressive Model
Yuxin Tao, Dong Li and Xiaoyue Niu*
doi:10.5705/ss.202022.0040

 

Volume 34,  Number 4, October  2024

Activation Discovery With FDR Control: Application to FMRI Data
Mengtao Wen, Guanghui Wang*, Changliang Zou and Zhaojun Wang
doi:10.5705/ss.202022.0054
A Unified Inference Framework for Multiple Imputation Using Martingales
Qian Guan and Shu Yang*
doi:10.5705/ss.202021.0404
Kernel Regression Utilizing External Information as Constraints
Chi-Shian Dai and Jun Shao*
doi:10.5705/ss.202021.0446
Robust Rank Canonical Correlation Analysis for Multivariate Survival Data
Di He, Yong Zhou and Hui Zou*
doi:10.5705/ss.202022.0069
Mutual Influence Regression Model
Xinyan Fan, Wei Lan, Tao Zou* and Chih-Ling Tsai
doi:10.5705/ss.202022.0035
Weighted Nonlinear Regression With Nonstationary Time Series
Chunlei Jin and Qiying Wang*
doi:10.5705/ss.202021.0426
Asymptotic Independence of the Sum and Maximum of Dependent Random Variables with Applications to High-dimensional Tests
Long Feng, Tiefeng Jiang, Xiaoyun Li* and Binghui Liu
doi:10.5705/ss.202022.0354
A Locally Adaptive Shrinkage Approach to False Selection Rate Control in High-Dimensional Classification
Bowen Gang*, Yuantao Shi and Wenguang Sun
doi:10.5705/ss.202022.0219
Fast Convergence on Perfect Classification for Functional Data
Tomoya Wakayama and Masaaki Imaizumi*
doi:10.5705/ss.202022.0258
Semiparametric Reversed Mean Model for Recurrent Event Process with Informative Terminal Event
Wen Su*, Li Liu, Guosheng Yin, Xingqiu Zhao and Ying Zhang
doi:10.5705/ss.202021.0353
Fixed-Domain Asymptotics Under Vecchia's Approximation of Spatial Process Likelihoods
Lu Zhang, Wenpin Tang and Sudipto Banerjee*
doi:10.5705/ss.202021.0428
Functional-Input Gaussian Processes with Applications to Inverse Scattering Problems
Chih-Li Sung*, Wenjia Wang, Fioralba Cakoni, Isaac Harris and Ying Hung
doi:10.5705/ss.202022.0180
Outlier Detection via a Minimum Ridge Covariance Determinant Estimator
Chikun Li, Baisuo Jin* and Yuehua Wu
doi:10.5705/ss.202022.0142
An Adaptive Weighted Component Test for High-Dimensional Means
Yidi Qu, Lianjie Shu and Jinfeng Xu*
doi:10.5705/ss.202022.0143
Locally Sparse Estimator of Generalized Varying Coefficient Model for Asynchronous Longitudinal Data
Rou Zhong, Chunming Zhang and Jingxiao Zhang*
doi:10.5705/ss.202022.0196
A Projection-Based Diagnostic Test for Generalized Functional Regression Models
Guizhen Li, Mengying You, Ling Zhou, Hua Liang and Huazhen Lin*
doi:10.5705/ss.202022.0083
Homogeneity Tests for High-dimensional Mean Vectors and Covariance Matrices
Wenwen Guo, Xinyuan Song* and Hengjian Cui
doi:10.5705/ss.202022.0048
Multivariate Varying-coefficient Models via Tensor Decomposition
Fengyu Zhang, Ya Zhou, Kejun He* and Raymond K. W. Wong
doi:10.5705/ss.202022.0103
A Simple Method for Estimating Gaussian Graphical Models
Yiyi Yin, Yang Song and Hui Zou*
doi:10.5705/ss.202021.0273
Minimax Nonparametric Multi-sample Test under Smoothing
Xin Xing*, Zuofeng Shang, Pang Du, Ping Ma, Wenxuan Zhong and Jun S. Liu
doi:10.5705/ss.202022.0141
One-Step Regularized Estimator for High-Dimensional Regression Models
Yi Wang*, Donglin Zeng, Yuanjia Wang and Xingwei Tong
doi:10.5705/ss.202022.0065

Data Privacy

Differentially Private Hypothesis Testing With the Subsampled and Aggregated Randomized Response Mechanism
Victor Pena* and Andres Barrientos
doi:10.5705/ss.202022.0279
On Rate Optimal Private Regression Under Local Differential Privacy
László Györfi and Martin Kroll*
doi:10.5705/ss.202022.0186
Assessing Statistical Disclosure Risk for Differentially Private, Hierarchical Count Data, With Application to the 2020 U. S. Decennial Census
Zeki Kazan* and Jerome P. Reiter
doi:10.5705/ss.202022.0187

 

Volume 35,  Number 1, January  2025

Gaussian Mixture Models with Concave Penalized Fusion
Yiwei Fan* and Guosheng Yin
doi:10.5705/ss.202022.0092
Time-Varying Correlation for Noncentered Nonstationary Time Series: Simultaneous Inference and Visualization
Ting Zhang* and Yu Shao
doi:10.5705/ss.202022.0244
A More Efficient Isomorphism Check for Two-Level Nonregular Designs
Chunyan Wang* and Robert W. Mee
doi:10.5705/ss.202022.0200
Power Enhancement for Dimension Detection of Gaussian Signals
Gaspard Bernard and Thomas Verdebout*
doi:10.5705/ss.202022.0315
A Comparison of Estimators of Mean and Its Functions in Finite Populations
Anurag Dey* and Probal Chaudhuri
doi:10.5705/ss.202022.0181
Hypothesis Test on a Mixture Forward-Incubation-Time Epidemic Model With Application to COVID-19 Outbreak
Chunlin Wang, Pengfei Li, Yukun Liu*, Xiao-Hua Zhou and Jing Qin
doi:10.5705/ss.202020.0318
On P-Value Combination of Independent and Non-sparse Signals: Asymptotic Efficiency and Fisher Ensemble
Yusi Fang, Chung Chang and George C. Tseng*
doi:10.5705/ss.202022.0261
Distributed Logistic Regression for Massive Data with Rare Events
Xuetong Li, Xuening Zhu* and Hansheng Wang
doi:10.5705/ss.202022.0242
CLT for High-Dimensional R2 Statistics Under a General Independent Components Model
Weiming Li and Shizhe Hong*
doi:10.5705/ss.202022.0068
Modeling the Population Mean Outcome Trajectory in Observational Studies With Varying Time to Intervention
Hyunkeun Cho* and Seonjin Kim
doi:10.5705/ss.202022.0226
Asymptotically Optimal Multistage Tests for Non-iid Data
Yiming Xing and Georgios Fellouris*
doi:10.5705/ss.202022.0235
Slicing-free Inverse Regression in High-dimensional Sufficient Dimension Reduction
Qing Mai*, Xiaofeng Shao, Runmin Wang and Xin Zhang
doi:10.5705/ss.202022.0112
Regression Analysis of Randomized Response Event Time Data
Chi-Chung Wen* and Yi-Hau Chen
doi:10.5705/ss.202022.0320
Hypotheses Testing of Functional Principal Components
Zening Song, Lijian Yang* and Yuanyuan Zhang
doi:10.5705/ss.202022.0309
State Space Emulation and Annealed Sequential Monte Carlo for High Dimensional Optimization
Chencheng Cai* and Rong Chen
doi:10.5705/ss.202022.0120
Mean Tests For High-dimensional Time Series
Shuyi Zhang, Song Chen* and Yumou Qiu
doi:10.5705/ss.202022.0147
Distributed Mean Dimension Reduction Through Semi-parametric Approaches
Zhengtian Zhu, Wangli Xu and Liping Zhu*
doi:10.5705/ss.202022.0157
Semiparametric Estimation of Non-ignorable Missingness With Refreshment Sample
Jianfei Zheng, Jing Wang, Lan Xue* and Annie Qu
doi:10.5705/ss.202022.0214
A Bernstein-type Inequality for High Dimensional Linear Processes with Applications to Robust Estimation of Time Series Regressions
Linbo Liu and Danna Zhang*
doi:10.5705/ss.202022.0249
An Adaptively Resized Parametric Bootstrap for Inference in High-dimensional Generalized Linear Models
Qian Zhao* and Emmanuel J. Cand?s
doi:10.5705/ss.202022.0296
Necessary and Sufficient Conditions for Multiple Objective Optimal Regression Designs
Lucy L. Gao*, Jane J. Ye, Shangzhi Zeng and Julie Zhou
doi:10.5705/ss.202022.0328

 

Volume 35,  Number 2, April  2025

Empirical Priors and Posterior Concentration in a Piecewise Polynomial Sequence Model
Chang Liu, Ryan Martin and Weining Shen*
doi:10.5705/ss.202022.0335
A Construction Method for Maximin L1-Distance Latin Hypercube Designs
Ru Yuan, Yuhao Yin, Hongquan Xu and Min-Qian Liu*
doi:10.5705/ss.202022.0263
Power Boosting: Fusion of Multiple Test Statistics via Resampling
Efang Kong*, Yu Liu and Yingcun Xia
doi:10.5705/ss.202022.0348
Testing for Zero Skill In Stock Picking or Market Timing
Qingsong Shan, Lei Jiang, Liang Peng and Zhongling Qin*
doi:10.5705/ss.202022.0416
Bandwidth Selection for Large Covariance and Precision Matrices
Xuehu Zhu, Jian Guo, Xu Guo, Lixing Zhu* and Jiasen Zheng
doi:10.5705/ss.202022.0337
Linear Discriminant Analysis with Sparse and Dense Signals
Ning Wang, Shaokang Ren and Qing Mai*
doi:10.5705/ss.202022.0260
Directional Tests in Gaussian Graphical Models
Claudia Di Caterina*, Nancy Reid and Nicola Sartori
doi:10.5705/ss.202022.0394
A New Preferential Model With Homophily for Recommender Systems
Hanyang Tian, Bo Zhang*, Ruixue Jiang and Xiao Han
doi:10.5705/ss.202022.0136
Identifying the Most Appropriate Order for Categorical Responses
Tianmeng Wang and Jie Yang*
doi:10.5705/ss.202022.0322
Parametric Modal Regression with Autocorrelated Error Process
Tao Wang*
doi:10.5705/ss.202021.0405
Statistical Inference for High-Dimensional Linear Regression with Blockwise Missing Data
Fei Xue, Rong Ma and Hongzhe Li*
doi:10.5705/ss.202022.0104
Partially-Global Fréchet Regression
Danielle C. Tucker and Yichao Wu*
doi:10.5705/ss.202021.0389