This publication schedule is subject to change.
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Volume 33, Number 3, July 2023 |
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A Sequential Probability Ratio Test for Sparse Gaussian Mixtures
Wenhua Jiang* and Cun-Hui Zhang |
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doi:10.5705/ss.202019.0218
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Volume 33, Number 4, October 2023 |
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Identifying Latent Groups in Spatial Panel Data Using a Markov Random Field Constrained Product Partition Model
Tianyu Pan, Guanyu Hu and Weining Shen* |
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doi:10.5705/ss.202021.0247
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A Simultaneous Likelihood Test for Joint Mediation Effects of Multiple Mediators
Wei Hao and Peter X.-K. Song* |
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doi:10.5705/ss.202021.0032
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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 |
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doi:10.5705/ss.202020.0498
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Use of Random Integration to Test Equality of High Dimensional Covariance Matrices
Yunlu Jiang, Canhong Wen, Yukang Jiang, Xueqin Wang and Heping Zhang* |
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doi:10.5705/ss.202020.0486
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The Binary Expansion Randomized Ensemble Test
Duyeol Lee, Kai Zhang and Michael R. Kosorok* |
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doi:10.5705/ss.202021.0100
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Bayesian Predictive Inference Without a Prior
Patrizia Berti, Emanuela Dreassi, Fabrizio Leisen, Luca Pratelli and Pietro Rigo* |
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doi:10.5705/ss.202021.0238
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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* |
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doi:10.5705/ss.202021.0118
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Simplex-based Multinomial Logistic Regression with Diverging Numbers of Categories and Covariates
Sheng Fu, Piao Chen*, Yufeng Liu and Zhisheng Ye |
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doi:10.5705/ss.202021.0082
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Defining And Estimating Principal Stratum Specific Natural Mediation Effects With Semi-competing Risks Data
Fei Gao*, Fan Xia and Kwun Chuen Gary Chan |
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doi:10.5705/ss.202021.0167
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Statistical Inference for Functional Time Series: Autocovariance Function
Chen Zhong and Lijian Yang* |
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doi:10.5705/ss.202021.0121
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Regression with Set-Valued Categorical Predictors
Ganghua Wang, Jie Ding and Yuhong Yang* |
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doi:10.5705/ss.202021.0332
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Identifiability of Hierarchical Latent Attribute Models
Yuqi Gu and Gongjun Xu* |
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doi:10.5705/ss.202021.0350
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Spatial-temporal Model with Heterogeneous Random Effects
Xingdong Feng, Wenyu Li and Qianqian Zhu* |
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doi:10.5705/ss.202021.0280
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Semiparametric Causal Mediation Analysis with Unmeasured Mediator-Outcome Confounding
BaoLuo Sun* and Ting Ye |
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doi:10.5705/ss.202021.0354
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Functional Response Quantile Regression Model
Xingcai Zhou, Dehan Kong, A. B. Kashlak, Linglong Kong*, R. Karunamuni and Hongtu Zhu |
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doi:10.5705/ss.202021.0138
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A Bayesian Subset Specific Approach to Joint Selection of Multiple Graphical Models
Peyman Jalali, Kshitij Khare and George Michailidis* |
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doi:10.5705/ss.202021.0245
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Impact Analysis for Spatial Autoregressive Models: With Application to Air Pollution in China
Hsuan-Yu Chang and Jihai Yu* |
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doi:10.5705/ss.202021.0119
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Lévy Adaptive B-spline Regression via Overcomplete Systems
Sewon Park*, Hee-Seok Oh and Jaeyong Lee |
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doi:10.5705/ss.202021.0288
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On Construction of Optimal Exact Confidence Intervals
Weizhen Wang* |
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doi:10.5705/ss.202021.0322
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Nonparametric Estimation and Testing for Panel Count Data with Informative Terminal Event
Xiangbin Hu, Li Liu, Ying Zhang and Xingqiu Zhao* |
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doi:10.5705/ss.202021.0213
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Measuring, Testing, and Identifying Heterogeneity of Large Parallel Datasets
Liuhua Peng, Guanghui Wang and Changliang Zou* |
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doi:10.5705/ss.202021.0285
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Sequential Monte Carlo |
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An Iterated Block Particle Filter for Inference on Coupled Dynamic Systems With Shared and Unit-Specific Parameters
Edward Ionides*, Ning Ning and Jesse Wheeler |
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doi:10.5705/ss.202022.0188
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A Langevinized Ensemble Kalman Filter for Large-Scale Dynamic Learning
Peiyi Zhang, Qifan Song and Faming Liang* |
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doi:10.5705/ss.202022.0172
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Resampling Strategy in Sequential Monte Carlo for Constrained Sampling Problems
Chencheng Cai*, Rong Chen and Ming Lin |
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doi:10.5705/ss.202022.0185
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A Divide and Conquer Sequential Monte Carlo Approach to High Dimensional Filtering
Francesca R. Crucinio* and Adam M. Johansen |
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doi:10.5705/ss.202022.0243
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Particle-based, Rapid Incremental Smoother Meets Particle Gibbs
Gabriel Cardoso*, Eric Moulines and Jimmy Olsson |
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doi:10.5705/ss.202022.0215
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Approximating Optimal SMC Proposal Distributions in Individual-Based Epidemic Models
Lorenzo Rimella*, Christopher Jewell and Paul Fearnhead |
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doi:10.5705/ss.202022.0198
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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 |
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doi:10.5705/ss.202022.0210
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Volume 34, Number 1, January 2024 |
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Factor-augmented Model for Functional Data
Yuan Gao, Han Lin Shang and Yanrong Yang* |
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doi:10.5705/ss.202021.0223
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Selection of Proposal Distributions for Multiple Importance Sampling
Vivekananda Roy* and Evangelos Evangelou |
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doi:10.5705/ss.202021.0049
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Fast Construction of Optimal Composite Likelihoods
Zhendong Huang* and Davide Ferrari |
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doi:10.5705/ss.202021.0235
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Generalized Odds Rate Frailty Models for Current Status Data with Informative Censoring
Yang Xu, Shishun Zhao, Tao Hu* and Jianguo Sun |
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doi:10.5705/ss.202021.0411
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A Spectral-Based Framework for Hypothesis Testing in Populations of Networks
Li Chen, Nathaniel Josephs*, Lizhen Lin, Jie Zhou and Eric D. Kolaczyk |
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doi:10.5705/ss.202021.0306
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Outlier-Resistant Estimators for Average Treatment Effect in Causal Inference
Kazuharu Harada* and Hironori Fujisawa |
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doi:10.5705/ss.202021.0254
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Threshold Estimation in Proportional Mean Residual Life Model
Bing Wang and Xinyuan Song* |
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doi:10.5705/ss.202022.0017
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Parsimonious Tensor Discriminant Analysis
Ning Wang, Wenjing Wang and Xin Zhang* |
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doi:10.5705/ss.202020.0496
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Test for Informative Cluster Size with Right Censored Survival Data
Alessandra Meddis* and Aurélien Latouche |
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doi:10.5705/ss.202021.0349
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Group Testing Regression Analysis with Missing Data and Imperfect Tests
Aurore Delaigle and Ruoxu Tan* |
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doi:10.5705/ss.202021.0382
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A Pairwise Hotelling Method for Testing High-Dimensional Mean Vectors
Zongliang Hu, Tiejun Tong* and Marc G. Genton |
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doi:10.5705/ss.202021.0369
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Shape Constrained Kernel PDF and PMF Estimation
Pang Du, Christopher F. Parmeter and Jeffrey S. Racine* |
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doi:10.5705/ss.202021.0112
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DeepKriging: Spatially Dependent Deep Neural Networks for Spatial Prediction
Wanfang Chen, Yuxiao Li, Brian J Reich and Ying Sun* |
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doi:10.5705/ss.202021.0277
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Drift Estimation of the Threshold Ornstein-Uhlenbeck Process From Continuous and Discrete Observations
Sara Mazzonetto and Paolo Pigato* |
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doi:10.5705/ss.202021.0275
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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* |
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doi:10.5705/ss.202022.0013
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Adaptive Randomization via Mahalanobis Distance
Yichen Qin, Yang Li, Wei Ma, Haoyu Yang and Feifang Hu* |
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doi:10.5705/ss.202020.0440
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Learning Non-monotone Optimal Individualized Treatment Regimes
Trinetri Ghosh*, Yanyuan Ma, Wensheng Zhu and Yuanjia Wang |
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doi:10.5705/ss.202021.0339
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Designs for Order-of-Addition Screening Experiments
Zack Stokes and Hongquan Xu* |
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doi:10.5705/ss.202021.0410
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A Zero-imputation Approach in Recommendation Systems with Data Missing Heterogeneously
Jiashen Lu* and Kehui Chen |
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doi:10.5705/ss.202021.0429
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A Note on Information Bias and Efficiency of Composite Likelihood
Libai Xu, Nancy Reid and Ximing Xu* |
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doi:10.5705/ss.202022.0167
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Unbiased Boosting Estimation for Censored Survival Data
Li-Pang Chen and Grace Yi* |
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doi:10.5705/ss.202021.0050
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Model-Assisted Inference for Covariate-Specific Treatment Effects with High-dimensional Data
Peng Wu, Zhiqiang Tan, Wenjie Hu and Xiao-Hua Zhou* |
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doi:10.5705/ss.202022.0089
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Volume 34, Number 2, April 2024 |
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Community Detection in Censored Hypergraph
Mingao Yuan*, Bin Zhao and Xiaofeng Zhao |
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doi:10.5705/ss.202021.0392
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Multi-response Regression for Block-missing Multi-modal Data without Imputation
Haodong Wang, Quefeng Li and Yufeng Liu* |
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doi:10.5705/ss.202021.0170
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On the Efficiency of Composite Likelihood Estimation for Gaussian Spatial Processes
Nelson J. Y. Chua*, Francis K. C. Hui and A. H. Welsh |
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doi:10.5705/ss.202020.0311
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Measures of Uncertainty for Shrinkage Model Selection
Yuanyuan Li and Jiming Jiang* |
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doi:10.5705/ss.202021.0281
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Nonparametric Tests of Independence for Circular Data Based on Trigonometric Moments
Eduardo García-Portugués*, Pierre Lafaye de Micheaux, Simos G. Meintanis and Thomas Verdebout |
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doi:10.5705/ss.202021.0416
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Synthesis of Order-of-Addition Models
Robert W. Mee* |
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doi:10.5705/ss.202022.0003
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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 |
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doi:10.5705/ss.202022.0019
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Balanced Donor Imputation Handling Swiss Cheese Nonresponse
Esther Eustache*, Audrey-Anne Vallée and Yves Tillé |
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doi:10.5705/ss.202021.0331
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Inference for Projection-Based Wasserstein Distances on Finite Spaces
Ryo Okano and Masaaki Imaizumi* |
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doi:10.5705/ss.202022.0070
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Spatial Autoregressive Models with Generalized Spatial Disturbances
Kuangnan Fang, Wei Lan*, Dan Pu and Qingzhao Zhang |
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doi:10.5705/ss.202021.0377
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Quasi-maximum Likelihood Inference for Linear Double Autoregressive Models
Hua Liu, Songhua Tan and Qianqian Zhu* |
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doi:10.5705/ss.202022.0049
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Inference on Large-scale Partially Functional Linear Model with Heterogeneous Errors
Kaijie Xue and Fang Yao* |
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doi:10.5705/ss.202022.0077
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A Unified Approach to Focused Information Criterion and Plug-In Averaging Method
Xinyu Zhang and Chu-An Liu* |
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doi:10.5705/ss.202021.0266
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Propensity Score Regression for Causal Inference With Treatment Heterogeneity
Peng Wu*, Shasha Han, Xingwei Tong and Runze Li |
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doi:10.5705/ss.202022.0008
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Pseudo-Bayesian Approach for Quantile Regression Inference: Adaptation to Sparsity
Yuanzhi Li* and Xuming He |
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doi:10.5705/ss.202021.0338
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Simultaneous Functional Quantile Regression
Boyi Hu, Xixi Hu, Hua Liu, Jinhong You and Jiguo Cao* |
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doi:10.5705/ss.202021.0248
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Test of the Latent Dimension of a Spatial Blind Source Separation Model
Christoph Muehlmann, Francois Bachoc, Klaus Nordhausen and Mengxi Yi* |
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doi:10.5705/ss.202021.0326
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Functional Threshold Autoregressive Model
Yuanbo Li, Kun Chen*, Xunze Zheng and Chun-Yip Yau |
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doi:10.5705/ss.202022.0096
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Dynamic Copula-Based Nonparametric Estimation of Rank-Tracking Probabilities With Longitudinal Data
Xiaoyu Zhang, Mixia Wu* and Colin O. Wu |
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doi:10.5705/ss.202021.0422
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A Perturbation Subsampling for Large Scale Data
Yujing Yao and Zhezhen Jin* |
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doi:10.5705/ss.202022.0020
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A Unified Framework for Tuning Hyperparameters in Clustering Problems
Xinjie Fan, Y. X. Rachel Wang*, Purnamrita Sarkar and Yuguang Yue |
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doi:10.5705/ss.202021.0427
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Volume 34, Number 3, July 2024 |
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Statistical Inference for Mean Function of Longitudinal Imaging Data over Complicated Domains
Qirui Hu and Jie Li* |
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doi:10.5705/ss.202021.0415
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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* |
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doi:10.5705/ss.202022.0043
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Sharp Bounds for Variance of Treatment Effect Estimators in the Presence of Covariates
Ruoyu Wang, Qihua Wang*, Wang Miao and Xiaohua Zhou |
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doi:10.5705/ss.202021.0351
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Statistical Inference for Genetic Relatedness Based on High-Dimensional Logistic Regression
Rong Ma, Zijian Guo, T. Tony Cai and Hongzhe Li* |
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doi:10.5705/ss.202021.0386
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Integrating Incomplete Data for Mediation Analysis
Andriy Derkach*, Joshua N. Sampson and Ruth M. Pfeiffer |
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doi:10.5705/ss.202021.0373
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Bayesian Consistency with the Supremum Metric
Nhat Ho and Stephen G. Walker* |
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doi:10.5705/ss.202022.0062
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Robust Optimization and Inference on Manifolds
Lizhen Lin*, Drew Lazar, Bayan Saparbayeva and David Dunson |
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doi:10.5705/ss.202022.0149
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Asymptotic Behavior of the Maximum Likelihood Estimator for General Markov Switching Models
Cheng-Der Fuh and Tianxiao Pang* |
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doi:10.5705/ss.202021.0336
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An Integer Programming Algorithm for Constructing Maximin Distance Designs From Good Lattice Point Sets
Alan R. Vazquez* and Hongquan Xu |
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doi:10.5705/ss.202021.0362
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Response Variable Selection in Multivariate Linear Regression
Kshitij Khare and Zhihua Su* |
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doi:10.5705/ss.202022.0127
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Nonlinear Dimension Reduction for Functional Data With Application to Clustering
Ruoxu Tan*, Yiming Zang and Guosheng Yin |
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doi:10.5705/ss.202021.0393
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Testing for Threshold Regulation in Presence of Measurement Error
Kung-Sik Chan*, Simone Giannerini, Greta Goracci and Howell Tong |
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doi:10.5705/ss.202022.0125
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Joint Modeling of Change-Point Identification and Dependent Dynamic Community Detection
Diqing Li, Yubai Yuan, Xinsheng Zhang and Annie Qu* |
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doi:10.5705/ss.202021.0182
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Identification of Partial-Differential-Equations-Based Models from Noisy Data with Splines
Yujie Zhao*, Xiaoming Huo and Yajun Mei |
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doi:10.5705/ss.202022.0061
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Scalable Estimation for High Velocity Survival Data Able to Accommodate Addition of Covariates
Ying Sheng, Yifei Sun, Charles E. McCulloch and Chiung-Yu Huang* |
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doi:10.5705/ss.202022.0028
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On Combining Individual-Level Data With Summary Data in Statistical Inferences
Lu Deng, Sheng Fu, Jing Qin and Kai Yu* |
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doi:10.5705/ss.202022.0228
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Robust Estimation of Covariance Matrices: Adversarial Contamination and Beyond
Stanislav Minsker* and Lang Wang |
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doi:10.5705/ss.202021.0388
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Optimal Classification for Functional Data
Shuoyang Wang, Zuofeng Shang, Guanqun Cao* and Jun S. Liu |
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doi:10.5705/ss.202022.0057
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An Rkhs Approach for Pivotal Inference in Functional Linear Regression
Holger Dette* and Jiajun Tang |
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doi:10.5705/ss.202022.0086
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Functional Horseshoe Smoothing for Functional Trend Estimation
Tomoya Wakayama* and Shonosuke Sugasawa |
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doi:10.5705/ss.202022.0297
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Grouped Network Poisson Autoregressive Model
Yuxin Tao, Dong Li and Xiaoyue Niu* |
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doi:10.5705/ss.202022.0040
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Volume 34, Number 4, October 2024 |
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Activation Discovery With FDR Control: Application to FMRI Data
Mengtao Wen, Guanghui Wang*, Changliang Zou and Zhaojun Wang |
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doi:10.5705/ss.202022.0054
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A Unified Inference Framework for Multiple Imputation Using Martingales
Qian Guan and Shu Yang* |
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doi:10.5705/ss.202021.0404
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Kernel Regression Utilizing External Information as Constraints
Chi-Shian Dai and Jun Shao* |
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doi:10.5705/ss.202021.0446
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Robust Rank Canonical Correlation Analysis for Multivariate Survival Data
Di He, Yong Zhou and Hui Zou* |
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doi:10.5705/ss.202022.0069
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Mutual Influence Regression Model
Xinyan Fan, Wei Lan, Tao Zou* and Chih-Ling Tsai |
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doi:10.5705/ss.202022.0035
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Weighted Nonlinear Regression With Nonstationary Time Series
Chunlei Jin and Qiying Wang* |
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doi:10.5705/ss.202021.0426
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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 |
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doi:10.5705/ss.202022.0354
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A Locally Adaptive Shrinkage Approach to False Selection Rate Control in High-Dimensional Classification
Bowen Gang*, Yuantao Shi and Wenguang Sun |
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doi:10.5705/ss.202022.0219
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Fast Convergence on Perfect Classification for Functional Data
Tomoya Wakayama and Masaaki Imaizumi* |
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doi:10.5705/ss.202022.0258
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Semiparametric Reversed Mean Model for Recurrent Event Process with Informative Terminal Event
Wen Su*, Li Liu, Guosheng Yin, Xingqiu Zhao and Ying Zhang |
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doi:10.5705/ss.202021.0353
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Fixed-Domain Asymptotics Under Vecchia's Approximation of Spatial Process Likelihoods
Lu Zhang, Wenpin Tang and Sudipto Banerjee* |
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doi:10.5705/ss.202021.0428
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Functional-Input Gaussian Processes with Applications to Inverse Scattering Problems
Chih-Li Sung*, Wenjia Wang, Fioralba Cakoni, Isaac Harris and Ying Hung |
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doi:10.5705/ss.202022.0180
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Outlier Detection via a Minimum Ridge Covariance Determinant Estimator
Chikun Li, Baisuo Jin* and Yuehua Wu |
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doi:10.5705/ss.202022.0142
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An Adaptive Weighted Component Test for High-Dimensional Means
Yidi Qu, Lianjie Shu and Jinfeng Xu* |
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doi:10.5705/ss.202022.0143
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Locally Sparse Estimator of Generalized Varying Coefficient Model for Asynchronous Longitudinal Data
Rou Zhong, Chunming Zhang and Jingxiao Zhang* |
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doi:10.5705/ss.202022.0196
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A Projection-Based Diagnostic Test for Generalized Functional Regression Models
Guizhen Li, Mengying You, Ling Zhou, Hua Liang and Huazhen Lin* |
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doi:10.5705/ss.202022.0083
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Homogeneity Tests for High-dimensional Mean Vectors and Covariance Matrices
Wenwen Guo, Xinyuan Song* and Hengjian Cui |
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doi:10.5705/ss.202022.0048
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Multivariate Varying-coefficient Models via Tensor Decomposition
Fengyu Zhang, Ya Zhou, Kejun He* and Raymond K. W. Wong |
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doi:10.5705/ss.202022.0103
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A Simple Method for Estimating Gaussian Graphical Models
Yiyi Yin, Yang Song and Hui Zou* |
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doi:10.5705/ss.202021.0273
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Minimax Nonparametric Multi-sample Test under Smoothing
Xin Xing*, Zuofeng Shang, Pang Du, Ping Ma, Wenxuan Zhong and Jun S. Liu |
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doi:10.5705/ss.202022.0141
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One-Step Regularized Estimator for High-Dimensional Regression Models
Yi Wang*, Donglin Zeng, Yuanjia Wang and Xingwei Tong |
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doi:10.5705/ss.202022.0065
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Data Privacy |
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Differentially Private Hypothesis Testing With the Subsampled and Aggregated Randomized Response Mechanism
Victor Pena* and Andres Barrientos |
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doi:10.5705/ss.202022.0279
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On Rate Optimal Private Regression Under Local Differential Privacy
László Györfi and Martin Kroll* |
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doi:10.5705/ss.202022.0186
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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 |
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doi:10.5705/ss.202022.0187
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Volume 35, Number 1, January 2025 |
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Gaussian Mixture Models with Concave Penalized Fusion
Yiwei Fan* and Guosheng Yin |
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doi:10.5705/ss.202022.0092
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Time-Varying Correlation for Noncentered Nonstationary Time Series: Simultaneous Inference and Visualization
Ting Zhang* and Yu Shao |
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doi:10.5705/ss.202022.0244
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A More Efficient Isomorphism Check for Two-Level Nonregular Designs
Chunyan Wang* and Robert W. Mee |
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doi:10.5705/ss.202022.0200
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Power Enhancement for Dimension Detection of Gaussian Signals
Gaspard Bernard and Thomas Verdebout* |
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doi:10.5705/ss.202022.0315
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A Comparison of Estimators of Mean and Its Functions in Finite Populations
Anurag Dey* and Probal Chaudhuri |
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doi:10.5705/ss.202022.0181
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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 |
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doi:10.5705/ss.202020.0318
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On P-Value Combination of Independent and Non-sparse Signals: Asymptotic Efficiency and Fisher Ensemble
Yusi Fang, Chung Chang and George C. Tseng* |
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doi:10.5705/ss.202022.0261
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Distributed Logistic Regression for Massive Data with Rare Events
Xuetong Li, Xuening Zhu* and Hansheng Wang |
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doi:10.5705/ss.202022.0242
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CLT for High-Dimensional R2 Statistics Under a General Independent Components Model
Weiming Li and Shizhe Hong* |
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doi:10.5705/ss.202022.0068
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Modeling the Population Mean Outcome Trajectory in Observational Studies With Varying Time to Intervention
Hyunkeun Cho* and Seonjin Kim |
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doi:10.5705/ss.202022.0226
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Asymptotically Optimal Multistage Tests for Non-iid Data
Yiming Xing and Georgios Fellouris* |
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doi:10.5705/ss.202022.0235
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Slicing-free Inverse Regression in High-dimensional Sufficient Dimension Reduction
Qing Mai*, Xiaofeng Shao, Runmin Wang and Xin Zhang |
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doi:10.5705/ss.202022.0112
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Regression Analysis of Randomized Response Event Time Data
Chi-Chung Wen* and Yi-Hau Chen |
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doi:10.5705/ss.202022.0320
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Hypotheses Testing of Functional Principal Components
Zening Song, Lijian Yang* and Yuanyuan Zhang |
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doi:10.5705/ss.202022.0309
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State Space Emulation and Annealed Sequential Monte Carlo for High Dimensional Optimization
Chencheng Cai* and Rong Chen |
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doi:10.5705/ss.202022.0120
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Mean Tests For High-dimensional Time Series
Shuyi Zhang, Song Chen* and Yumou Qiu |
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doi:10.5705/ss.202022.0147
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Distributed Mean Dimension Reduction Through Semi-parametric Approaches
Zhengtian Zhu, Wangli Xu and Liping Zhu* |
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doi:10.5705/ss.202022.0157
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Semiparametric Estimation of Non-ignorable Missingness With Refreshment Sample
Jianfei Zheng, Jing Wang, Lan Xue* and Annie Qu |
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doi:10.5705/ss.202022.0214
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A Bernstein-type Inequality for High Dimensional Linear Processes with Applications to Robust Estimation of Time Series Regressions
Linbo Liu and Danna Zhang* |
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doi:10.5705/ss.202022.0249
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An Adaptively Resized Parametric Bootstrap for Inference in High-dimensional Generalized Linear Models
Qian Zhao* and Emmanuel J. Cand?s |
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doi:10.5705/ss.202022.0296
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Necessary and Sufficient Conditions for Multiple Objective Optimal Regression Designs
Lucy L. Gao*, Jane J. Ye, Shangzhi Zeng and Julie Zhou |
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doi:10.5705/ss.202022.0328
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Volume 35, Number 2, April 2025 |
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Empirical Priors and Posterior Concentration in a Piecewise Polynomial Sequence Model
Chang Liu, Ryan Martin and Weining Shen* |
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doi:10.5705/ss.202022.0335
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A Construction Method for Maximin L1-Distance Latin Hypercube Designs
Ru Yuan, Yuhao Yin, Hongquan Xu and Min-Qian Liu* |
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doi:10.5705/ss.202022.0263
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Power Boosting: Fusion of Multiple Test Statistics via Resampling
Efang Kong*, Yu Liu and Yingcun Xia |
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doi:10.5705/ss.202022.0348
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Testing for Zero Skill In Stock Picking or Market Timing
Qingsong Shan, Lei Jiang, Liang Peng and Zhongling Qin* |
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doi:10.5705/ss.202022.0416
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Bandwidth Selection for Large Covariance and Precision Matrices
Xuehu Zhu, Jian Guo, Xu Guo, Lixing Zhu* and Jiasen Zheng |
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doi:10.5705/ss.202022.0337
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Linear Discriminant Analysis with Sparse and Dense Signals
Ning Wang, Shaokang Ren and Qing Mai* |
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doi:10.5705/ss.202022.0260
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Directional Tests in Gaussian Graphical Models
Claudia Di Caterina*, Nancy Reid and Nicola Sartori |
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doi:10.5705/ss.202022.0394
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A New Preferential Model With Homophily for Recommender Systems
Hanyang Tian, Bo Zhang*, Ruixue Jiang and Xiao Han |
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doi:10.5705/ss.202022.0136
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Identifying the Most Appropriate Order for Categorical Responses
Tianmeng Wang and Jie Yang* |
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doi:10.5705/ss.202022.0322
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Parametric Modal Regression with Autocorrelated Error Process
Tao Wang* |
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doi:10.5705/ss.202021.0405
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Statistical Inference for High-Dimensional Linear Regression with Blockwise Missing Data
Fei Xue, Rong Ma and Hongzhe Li* |
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doi:10.5705/ss.202022.0104
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Partially-Global Fréchet Regression
Danielle C. Tucker and Yichao Wu* |
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doi:10.5705/ss.202021.0389
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