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Journal of the American Statistical Association
Journal Prestige (SJR): 3.746

Citation Impact (citeScore): 2
Number of Followers: 72

Full-text available via subscription

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ISSN (Print) 0162-1459 - ISSN (Online) 1537-274X
Published by American Statistical Association

[5 journals]

Comment on “Factor Models for High-Dimensional Tensor Time Series” by
Rong Chen, Dan Yang, and Cun-Hui Zhang
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  Authors: Oliver B. Linton, Haihan Tang
  Pages: 117 - 117
  Abstract: Volume 117, Issue 537, March 2022, Page 117-117
  .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2022-01-26T08:20:03Z
  DOI: 10.1080/01621459.2021.2018328
  Issue No: Vol. 117, No. 537 (2022)
Comment on “Factor Models for High-Dimensional Tensor Time
Series”
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  Authors: Daniel Peña
  Pages: 118 - 123
  Abstract: Volume 117, Issue 537, March 2022, Page 118-123
  .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2022-03-24T08:16:18Z
  DOI: 10.1080/01621459.2021.2024214
  Issue No: Vol. 117, No. 537 (2022)
Comments on “Factor Models for High-Dimensional Tensor Time
Series”
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  Authors: Jialin Ouyang, Ming Yuan
  Pages: 124 - 127
  Abstract: Volume 117, Issue 537, March 2022, Page 124-127
  .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2022-03-24T08:17:03Z
  DOI: 10.1080/01621459.2022.2028630
  Issue No: Vol. 117, No. 537 (2022)
Rejoinder
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  Authors: Rong Chen, Dan Yang, Cun-Hui Zhang
  Pages: 128 - 132
  Abstract: Volume 117, Issue 537, March 2022, Page 128-132
  .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2022-03-24T08:15:57Z
  DOI: 10.1080/01621459.2022.2035099
  Issue No: Vol. 117, No. 537 (2022)
Dynamic Treatment Regimes: Statistical Methods for Precision Medicine
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  Authors: Ying-Qi Zhao
  Pages: 527 - 527
  Abstract: Volume 117, Issue 537, March 2022, Page 527-527
  .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2022-03-24T08:15:59Z
  DOI: 10.1080/01621459.2022.2035159
  Issue No: Vol. 117, No. 537 (2022)
An Introduction to Acceptance Sampling and SPC with R
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  Authors: Youngjun Choe
  Pages: 528 - 528
  Abstract: Volume 117, Issue 537, March 2022, Page 528-528
  .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2022-03-24T08:18:52Z
  DOI: 10.1080/01621459.2022.2035160
  Issue No: Vol. 117, No. 537 (2022)
From Fixed-X to Random-X Regression: Bias-Variance Decompositions,
Covariance Penalties, and Prediction Error Estimation: Correction
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  Pages: 529 - 529
  Abstract: Volume 117, Issue 537, March 2022, Page 529-529
  .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2022-02-15T07:58:23Z
  DOI: 10.1080/01621459.2021.2016420
  Issue No: Vol. 117, No. 537 (2022)
Correction to: Semiparametric Inference for Non-monotone
Missing-Not-at-Random Data: the No Self-Censoring Model
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  Pages: 530 - 530
  Abstract: Volume 117, Issue 537, March 2022, Page 530-530
  .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2022-02-03T06:27:29Z
  DOI: 10.1080/01621459.2021.2016421
  Issue No: Vol. 117, No. 537 (2022)
Functional Mixed Effects Clustering with Application to Longitudinal
Urologic Chronic Pelvic Pain Syndrome Symptom Data
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  Authors: Wensheng Guo, Mengying You, Jialin Yi, Michel A. Pontari, J. Richard Landis
  Pages: 1 - 11
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2022-05-13T06:43:54Z
  DOI: 10.1080/01621459.2022.2066536
Generalized Low-Rank Plus Sparse Tensor Estimation by Fast Riemannian
Optimization
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  Authors: Jian-Feng Cai, Jingyang Li, Dong Xia
  Pages: 1 - 17
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2022-05-13T06:24:59Z
  DOI: 10.1080/01621459.2022.2063131
Model-Free Conditional Feature Screening with FDR Control
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  Authors: Zhaoxue Tong, Zhanrui Cai, Songshan Yang, Runze Li
  Pages: 1 - 13
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2022-05-13T06:22:22Z
  DOI: 10.1080/01621459.2022.2063130
Random Surface Covariance Estimation by Shifted Partial Tracing
Open Access Article
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  Authors: Tomas Masak, Victor M. Panaretos
  Pages: 1 - 13
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2022-05-13T06:10:01Z
  DOI: 10.1080/01621459.2022.2061982
Bayesian Modeling of Sequential Discoveries
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  Authors: Alessandro Zito, Tommaso Rigon, Otso Ovaskainen, David B. Dunson
  Pages: 1 - 12
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2022-05-13T06:02:28Z
  DOI: 10.1080/01621459.2022.2060835
Variation and Covariation in Large-scale Replication Projects: An
Evaluation of Replicability
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  Authors: Blakeley B. McShane, Ulf Böckenholt, Karsten T. Hansen
  Pages: 1 - 17
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2022-05-12T07:32:40Z
  DOI: 10.1080/01621459.2022.2054816
Correction
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  Pages: 1 - 1
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2022-05-12T07:32:32Z
  DOI: 10.1080/01621459.2022.2060607
Metropolis–Hastings via Classification
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  Authors: Tetsuya Kaji, Veronika Ročková
  Pages: 1 - 15
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2022-05-12T05:15:37Z
  DOI: 10.1080/01621459.2022.2060836
Distribution-Free Prediction Sets for Two-Layer Hierarchical Models
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  Authors: Robin Dunn, Larry Wasserman, Aaditya Ramdas
  Pages: 1 - 12
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2022-05-09T02:45:48Z
  DOI: 10.1080/01621459.2022.2060112
Prior-Preconditioned Conjugate Gradient Method for Accelerated Gibbs
Sampling in “Large n, Large p” Bayesian Sparse Regression
Open Access Article
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  Authors: Akihiko Nishimura, Marc A. Suchard
  Pages: 1 - 14
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2022-05-09T02:25:27Z
  DOI: 10.1080/01621459.2022.2057859
Sharp Nonparametric Bounds for Decomposition Effects with Two Binary
Mediators
Open Access Article
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  Authors: Erin E. Gabriel, Michael C. Sachs, Arvid Sjölander
  Pages: 1 - 8
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2022-04-27T04:10:13Z
  DOI: 10.1080/01621459.2022.2057316
Efficient Estimation in the Fine and Gray Model
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  Authors: Thomas H. Scheike, Torben Martinussen, Brice Ozenne
  Pages: 1 - 9
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2022-04-25T09:03:03Z
  DOI: 10.1080/01621459.2022.2057860
A Multimodal Multilevel Neuroimaging Model for Investigating Brain
Connectome Development
Open Access Article
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  Authors: Yingtian Hu, Mahmoud Zeydabadinezhad, Longchuan Li, Ying Guo
  Pages: 1 - 15
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2022-04-25T08:17:59Z
  DOI: 10.1080/01621459.2022.2055559
Efficient Fully Distribution-Free Center-Outward Rank Tests for
Multiple-Output Regression and MANOVA
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  Authors: Marc Hallin, Daniel Hlubinka, Šárka Hudecová
  Pages: 1 - 17
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2022-04-20T12:45:41Z
  DOI: 10.1080/01621459.2021.2021921
A General Pairwise Comparison Model for Extremely Sparse Networks
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  Authors: Ruijian Han, Yiming Xu, Kani Chen
  Pages: 1 - 11
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2022-04-15T01:46:40Z
  DOI: 10.1080/01621459.2022.2053137
Sparse Reduced Rank Huber Regression in High Dimensions
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  Authors: Kean Ming Tan, Qiang Sun, Daniela Witten
  Pages: 1 - 11
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2022-04-15T01:46:07Z
  DOI: 10.1080/01621459.2022.2050243
Survival Analysis via Ordinary Differential Equations
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  Authors: Weijing Tang, Kevin He, Gongjun Xu, Ji Zhu
  Pages: 1 - 16
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2022-04-11T04:23:07Z
  DOI: 10.1080/01621459.2022.2051519
Robust Estimation of Large Panels with Factor Structures
Open Access Article
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  Authors: Marco Avarucci, Paolo Zaffaroni
  Pages: 1 - 12
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2022-04-11T04:22:11Z
  DOI: 10.1080/01621459.2022.2050244
On Robustness of Individualized Decision Rules
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  Authors: Zhengling Qi, Jong-Shi Pang, Yufeng Liu
  Pages: 1 - 15
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2022-04-11T04:19:03Z
  DOI: 10.1080/01621459.2022.2038180
Estimation of Copulas via Maximum Mean Discrepancy
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  Authors: Pierre Alquier, Badr-Eddine Chérief-Abdellatif, Alexis Derumigny, Jean-David Fermanian
  Pages: 1 - 16
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2022-03-31T01:32:56Z
  DOI: 10.1080/01621459.2021.2024836
Generalized Liquid Association Analysis for Multimodal Data Integration
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  Authors: Lexin Li, Jing Zeng, Xin Zhang
  Pages: 1 - 13
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2022-03-31T01:32:41Z
  DOI: 10.1080/01621459.2021.2024437
Testing the Effects of High-Dimensional Covariates via Aggregating
Cumulative Covariances
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  Authors: Runze Li, Kai Xu, Yeqing Zhou, Liping Zhu
  Pages: 1 - 11
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2022-03-27T04:41:03Z
  DOI: 10.1080/01621459.2022.2044334
Understanding Implicit Regularization in Over-Parameterized Single Index
Model
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  Authors: Jianqing Fan, Zhuoran Yang, Mengxin Yu
  Pages: 1 - 14
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2022-03-27T04:40:51Z
  DOI: 10.1080/01621459.2022.2044824
Marginal and Conditional Multiple Inference for Linear Mixed Model
Predictors
Open Access Article
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  Authors: Peter Kramlinger, Tatyana Krivobokova, Stefan Sperlich
  Pages: 1 - 12
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2022-03-27T04:40:48Z
  DOI: 10.1080/01621459.2022.2044826
Toward Better Practice of Covariate Adjustment in Analyzing Randomized
Clinical Trials
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  Authors: Ting Ye, Jun Shao, Yanyao Yi, Qingyuan Zhao
  Pages: 1 - 13
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2022-03-27T04:40:35Z
  DOI: 10.1080/01621459.2022.2049278
A Zero-Inflated Logistic Normal Multinomial Model for Extracting Microbial
Compositions
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  Authors: Yanyan Zeng, Daolin Pang, Hongyu Zhao, Tao Wang
  Pages: 1 - 14
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2022-03-23T10:18:19Z
  DOI: 10.1080/01621459.2022.2044827
Copula Regression for Compound Distributions with Endogenous Covariates
with Applications in Insurance Deductible Pricing
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  Authors: Peng Shi, Gee Y. Lee
  Pages: 1 - 16
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2022-03-22T04:04:45Z
  DOI: 10.1080/01621459.2022.2040519
Bayesian Inferences on Neural Activity in EEG-Based Brain-Computer
Interface
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  Authors: Tianwen Ma, Yang Li, Jane E. Huggins, Ji Zhu, Jian Kang
  Pages: 1 - 12
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2022-03-18T04:55:40Z
  DOI: 10.1080/01621459.2022.2041422
Transfer Learning in Large-Scale Gaussian Graphical Models with False
Discovery Rate Control
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  Authors: Sai Li, T. Tony Cai, Hongzhe Li
  Pages: 1 - 13
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2022-03-18T04:54:47Z
  DOI: 10.1080/01621459.2022.2044333
Coordinatewise Gaussianization: Theories and Applications
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  Authors: Qing Mai, Di He, Hui Zou
  Pages: 1 - 15
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2022-03-18T04:54:27Z
  DOI: 10.1080/01621459.2022.2044825
Bias-Adjusted Spectral Clustering in Multi-Layer Stochastic Block Models
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  Authors: Jing Lei, Kevin Z. Lin
  Pages: 1 - 13
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2022-03-18T04:52:50Z
  DOI: 10.1080/01621459.2022.2054817
Adaptive Conditional Distribution Estimation with Bayesian Decision Tree
Ensembles
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  Authors: Yinpu Li, Antonio R. Linero, Jared Murray
  Pages: 1 - 14
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2022-03-18T04:50:24Z
  DOI: 10.1080/01621459.2022.2037431
Network Structure Learning Under Uncertain Interventions
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  Authors: Federico Castelletti, Stefano Peluso
  Pages: 1 - 12
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2022-03-18T04:49:44Z
  DOI: 10.1080/01621459.2022.2037430
A Mechanistic Model of Annual Sulfate Concentrations in the United States
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  Authors: Nathan B. Wikle, Ephraim M. Hanks, Lucas R. F. Henneman, Corwin M. Zigler
  Pages: 1 - 12
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2022-03-17T04:40:31Z
  DOI: 10.1080/01621459.2022.2027774
Optimal Estimation of the Number of Network Communities
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  Authors: Jiashun Jin, Zheng Tracy Ke, Shengming Luo, Minzhe Wang
  Pages: 1 - 16
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2022-03-17T04:34:36Z
  DOI: 10.1080/01621459.2022.2035736
Kernel Knockoffs Selection for Nonparametric Additive Models
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  Authors: Xiaowu Dai, Xiang Lyu, Lexin Li
  Pages: 1 - 13
  Abstract: .
  
  Citation: Journal of the American Statistical Association
  PubDate: 2022-03-14T06:32:52Z
  DOI: 10.1080/01621459.2022.2039671
High-Dimensional Gaussian Graphical Regression Models with Covariates
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Do We Exploit all Information for Counterfactual Analysis' Benefits of
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Asymmetric Error Control Under Imperfect Supervision: A
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Community Detection in General Hypergraph Via Graph Embedding
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An Outer-Product-of-Gradient Approach to Dimension Reduction and its
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Threshold Selection in Feature Screening for Error Rate Control
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Pseudo-Bayesian Classified Mixed Model Prediction
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High-Order Joint Embedding for Multi-Level Link Prediction
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A General Framework for Inference on Algorithm-Agnostic Variable
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Modeling Pregnancy Outcomes Through Sequentially Nested Regression Models
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Classification Trees for Imbalanced Data: Surface-to-Volume Regularization
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Nonparametric Functional Graphical Modeling Through Functional Additive
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Transport Monte Carlo: High-Accuracy Posterior Approximation via Random
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Test of Weak Separability for Spatially Stationary Functional Field
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Kernel-Based Partial Permutation Test for Detecting Heterogeneous
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Bayesian Edge Regression in Undirected Graphical Models to Characterize
Interpatient Heterogeneity in Cancer
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On Genetic Correlation Estimation With Summary Statistics From Genome-Wide
Association Studies
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  Authors: Bingxin Zhao, Hongtu Zhu
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  Abstract: Volume 117, Issue 537, March 2022, Page 1-11
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Elucidating Age and Sex-Dependent Association Between Frontal EEG
Asymmetry and Depression: An Application of Multiple Imputation in
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Modeling the Marked Presence-Only Data: A Case Study of Estimating the
Female Sex Worker Size in Malawi
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  Authors: Ian Laga, Xiaoyue Niu, Le Bao
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  Abstract: Volume 117, Issue 537, March 2022, Page 27-37
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Prioritizing Autism Risk Genes Using Personalized Graphical Models
Estimated From Single-Cell RNA-seq Data
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  Abstract: Volume 117, Issue 537, March 2022, Page 38-51
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Balancing Inferential Integrity and Disclosure Risk Via Model Targeted
Masking and Multiple Imputation
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  Authors: Bei Jiang, Adrian E. Raftery, Russell J. Steele, Naisyin Wang
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Large-Scale Hypothesis Testing for Causal Mediation Effects with
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Earthquake Risk Embedded in Property Prices: Evidence From Five Japanese
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Factor Models for High-Dimensional Tensor Time Series
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Causal Spillover Effects Using Instrumental Variables
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Inference for High-Dimensional Exchangeable Arrays
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Generalized Factor Model for Ultra-High Dimensional Correlated Variables
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A Likelihood-Based Approach for Multivariate Categorical Response
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Discrepancy Between Global and Local Principal Component Analysis on
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Identification, Semiparametric Efficiency, and Quadruply Robust Estimation
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Reinforced Risk Prediction With Budget Constraint Using Irregularly
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GEE-Assisted Variable Selection for Latent Variable Models with
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Structure of Nonregular Two-Level Designs
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Assumption-Lean Analysis of Cluster Randomized Trials in Infectious
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Saddlepoint Approximations for Spatial Panel Data Models
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Model-Robust Inference for Clinical Trials that Improve Precision by
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Is a Classification Procedure Good Enough'—A Goodness-of-Fit
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Online Debiasing for Adaptively Collected High-Dimensional Data With
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Noncompliance and Instrumental Variables for 2K Factorial Experiments
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Structure–Adaptive Sequential Testing for Online False Discovery
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Online Estimation for Functional Data
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Optimizing the JSM Program
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Statistical Inference for High-Dimensional Matrix-Variate Factor Models
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Bagged Filters for Partially Observed Interacting Systems
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Wasserstein Regression
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Score-Driven Modeling of Spatio-Temporal Data
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Variable Selection for Global Fréchet Regression
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Functional Estimation and Change Detection for Nonstationary Time Series
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Cross-Fitted Residual Regression for High-Dimensional Heteroscedasticity
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Communication-Efficient Accurate Statistical Estimation
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Empirical Bayes Mean Estimation With Nonparametric Errors Via Order
Statistic Regression on Replicated Data
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  Authors: Nikolaos Ignatiadis, Sujayam Saha, Dennis L. Sun, Omkar Muralidharan
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Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind
Deconvolution Under Random Designs
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Greedy Segmentation for a Functional Data Sequence
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A Cross-Validated Ensemble Approach to Robust Hypothesis Testing of
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Bootstrap Prediction Bands for Functional Time Series
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  Authors: Efstathios Paparoditis, Han Lin Shang
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RaSE: A Variable Screening Framework via Random Subspace Ensembles
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Derandomizing Knockoffs
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A Kernel Log-Rank Test of Independence for Right-Censored Data
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A Particle Method for Solving Fredholm Equations of the First Kind
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  Authors: Francesca R. Crucinio, Arnaud Doucet, Adam M. Johansen
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Collaborative Multilabel Classification
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  Authors: Yunzhang Zhu, Xiaotong Shen, Hui Jiang, Wing Hung Wong
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Nonparametric Causal Effects Based on Longitudinal Modified Treatment
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A Reproducing Kernel Hilbert Space Approach to Functional Calibration of
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Multivariate Temporal Point Process Regression
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A Normality Test for High-dimensional Data Based on the Nearest Neighbor
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Estimating Causal Peer Influence in Homophilous Social Networks by
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False Discovery Rate Control Under General Dependence By Symmetrized Data
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  Authors: Lilun Du, Xu Guo, Wenguang Sun, Changliang Zou
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Inference for High-Dimensional Censored Quantile Regression
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Stochastic Tree Ensembles for Regularized Nonlinear Regression
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Treatment Effect Estimation Under Additive Hazards Models With
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Recovering Latent Variables by Matching
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Random Forests for Spatially Dependent Data
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  Authors: Arkajyoti Saha, Sumanta Basu, Abhirup Datta
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Nonparametric Bounds for Causal Effects in Imperfect Randomized
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  Authors: Erin E. Gabriel, Arvid Sjölander, Michael C. Sachs
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Estimation of Knots in Linear Spline Models
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Individualized Group Learning
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  Authors: Chencheng Cai, Rong Chen, Min-ge Xie
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Simultaneous Inference for Empirical Best Predictors With a Poverty Study
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  Authors: Katarzyna Reluga, María-José Lombardía, Stefan Sperlich
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Sparse Identification and Estimation of Large-Scale Vector AutoRegressive
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  Authors: Ines Wilms, Sumanta Basu, Jacob Bien, David S. Matteson
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Efficient Estimation for Random Dot Product Graphs via a One-Step
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Uniform Projection Designs and Strong Orthogonal Arrays
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  Authors: Cheng-Yu Sun, Boxin Tang
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Latent Gaussian Count Time Series
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  Authors: Yisu Jia, Stefanos Kechagias, James Livsey, Robert Lund, Vladas Pipiras
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Adaptive-to-Model Hybrid of Tests for Regressions
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  Authors: Lingzhu Li, Xuehu Zhu, Lixing Zhu
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Improving Predictions When Interest Focuses on Extreme Random Effects
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  Authors: Charles E. McCulloch, John M. Neuhaus
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Correlation Tensor Decomposition and Its Application in Spatial Imaging
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  Authors: Yujia Deng, Xiwei Tang, Annie Qu
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A Dynamic Interaction Semiparametric Function-on-Scalar Model
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  Authors: Hua Liu, Jinhong You, Jiguo Cao
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Neuronized Priors for Bayesian Sparse Linear Regression
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  Authors: Minsuk Shin, Jun S. Liu
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Semiparametric Efficiency in Convexity Constrained Single-Index Model
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  Authors: Arun K. Kuchibhotla, Rohit K. Patra, Bodhisattva Sen
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Estimation of the Number of Spiked Eigenvalues in a Covariance Matrix by
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  Authors: Zheng Tracy Ke, Yucong Ma, Xihong Lin
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Stick-Breaking Processes With Exchangeable Length Variables
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  Authors: María F. Gil–Leyva, Ramsés H. Mena
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The Generalized Oaxaca-Blinder Estimator
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  Authors: Kevin Guo, Guillaume Basse
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Honest Confidence Sets for High-Dimensional Regression by Projection and
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  Authors: Kun Zhou, Ker-Chau Li, Qing Zhou
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Online Covariance Matrix Estimation in Stochastic Gradient Descent
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  Authors: Wanrong Zhu, Xi Chen, Wei Biao Wu
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Distributional (Single) Index Models
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  Authors: Alexander Henzi, Gian-Reto Kleger, Johanna F. Ziegel
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Partially Observed Dynamic Tensor Response Regression
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  Authors: Jie Zhou, Will Wei Sun, Jingfei Zhang, Lexin Li
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Inference on Multi-level Partial Correlations Based on Multi-subject Time
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  Authors: Yumou Qiu, Xiao-Hua Zhou
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Model-Assisted Uniformly Honest Inference for Optimal Treatment Regimes in
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  Authors: Yunan Wu, Lan Wang, Haoda Fu
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A Common Atoms Model for the Bayesian Nonparametric Analysis of Nested
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  Authors: Francesco Denti, Federico Camerlenghi, Michele Guindani, Antonietta Mira
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Partition–Mallows Model and Its Inference for Rank Aggregation
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  Authors: Wanchuang Zhu, Yingkai Jiang, Jun S. Liu, Ke Deng
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Functional Time Series Prediction Under Partial Observation of the Future
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  Authors: Shuhao Jiao, Alexander Aue, Hernando Ombao
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Variable Selection Via Thompson Sampling
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  Authors: Yi Liu, Veronika Ročková
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Conditional Functional Graphical Models
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Experimental Evaluation of Individualized Treatment Rules
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Controlling False Discovery Rate Using Gaussian Mirrors
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Regression Discontinuity Designs With a Continuous Treatment
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Multivariate Rank-Based Distribution-Free Nonparametric Testing Using
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A Model-free Variable Screening Method Based on Leverage Score
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Modeling Time-Varying Random Objects and Dynamic Networks
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Inference of Breakpoints in High-dimensional Time Series
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High-Dimensional MANOVA Via Bootstrapping and Its Application to
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Testing Independence Under Biased Sampling
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Eigen Selection in Spectral Clustering: A Theory-Guided Practice
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Linear-Cost Covariance Functions for Gaussian Random Fields
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Bootstrap Inference for Quantile-based Modal Regression
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Single-index Thresholding in Quantile Regression
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Filtering the Rejection Set While Preserving False Discovery Rate Control
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  Authors: Eugene Katsevich, Chiara Sabatti, Marina Bogomolov
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Integrative Factor Regression and Its Inference for Multimodal Data
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Gradient-Based Markov Chain Monte Carlo for Bayesian Inference With
Non-differentiable Priors
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Individual Data Protected Integrative Regression Analysis of
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Semi-Supervised Linear Regression
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  Authors: David Azriel, Lawrence D. Brown, Michael Sklar, Richard Berk, Andreas Buja, Linda Zhao
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Detecting Abrupt Changes in the Presence of Local Fluctuations and
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  Authors: Gaetano Romano, Guillem Rigaill, Vincent Runge, Paul Fearnhead
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Design-Based Ratio Estimators and Central Limit Theorems for Clustered,
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Hierarchical Network Models for Exchangeable Structured Interaction
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A Doubly Enhanced EM Algorithm for Model-Based Tensor Clustering
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  Authors: Qing Mai, Xin Zhang, Yuqing Pan, Kai Deng
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Generalized Bayes Quantification Learning under Dataset Shift
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  Authors: Jacob Fiksel, Abhirup Datta, Agbessi Amouzou, Scott Zeger
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Nonparametric Fusion Learning for Multiparameters: Synthesize Inferences
From Diverse Sources Using Data Depth and Confidence Distribution
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  Authors: Dungang Liu, Regina Y. Liu, Min-ge Xie
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Inference in Experiments With Matched Pairs
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  Authors: Yuehao Bai, Joseph P. Romano, Azeem M. Shaikh
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Network Functional Varying Coefficient Model
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  Authors: Xuening Zhu, Zhanrui Cai, Yanyuan Ma
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Adaptive Inference for Change Points in High-Dimensional Data
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Kernel Ordinary Differential Equations
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Risk Projection for Time-to-Event Outcome Leveraging Summary Statistics
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Robust Two-Step Wavelet-Based Inference for Time Series Models
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  Authors: Stéphane Guerrier, Roberto Molinari, Maria-Pia Victoria-Feser, Haotian Xu
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On Characterizations and Tests of Benford’s Law
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Preliminary Multiple-Test Estimation, With Applications to k-Sample
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  Authors: Davy Paindaveine, Joséa Rasoafaraniaina, Thomas Verdebout
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Asymptotics for EBLUPs: Nested Error Regression Models
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A Versatile Estimation Procedure Without Estimating the Nonignorable
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Variable Selection in the Presence of Factors: A Model Selection
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  Authors: Gonzalo García-Donato, Rui Paulo
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Moderate-Dimensional Inferences on Quadratic Functionals in Ordinary Least
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  Authors: Xiao Guo, Guang Cheng
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Inference for High-Dimensional Linear Mixed-Effects Models: A
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Consistent Sparse Deep Learning: Theory and Computation
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  Authors: Yan Sun, Qifan Song, Faming Liang
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Testing Mediation Effects Using Logic of Boolean Matrices
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First-Order Newton-Type Estimator for Distributed Estimation and Inference
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Deep Compositional Spatial Models
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  Authors: Andrew Zammit-Mangion, Tin Lok James Ng, Quan Vu, Maurizio Filippone
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Two-Component Mixture Model in the Presence of Covariates
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  Authors: Nabarun Deb, Sujayam Saha, Adityanand Guntuboyina, Bodhisattva Sen
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Distributed Estimation for Principal Component Analysis: An Enlarged
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  Authors: Xi Chen, Jason D. Lee, He Li, Yun Yang
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On the Hauck–Donner Effect in Wald Tests: Detection, Tipping Points, and
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  Authors: Thomas W. Yee
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Fast, Optimal, and Targeted Predictions Using Parameterized Decision
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  Authors: Daniel R. Kowal
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  DOI: 10.1080/01621459.2021.1891926
Bayesian Framework for Simultaneous Registration and Estimation of Noisy,
Sparse, and Fragmented Functional Data
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  Authors: James Matuk, Karthik Bharath, Oksana Chkrebtii, Sebastian Kurtek
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  PubDate: 2021-03-29T08:38:25Z
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Directed Community Detection With Network Embedding
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  Authors: Jingnan Zhang, Xin He, Junhui Wang
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  PubDate: 2021-03-25T05:05:47Z
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Semiparametric Multinomial Logistic Regression for Multivariate Point
Pattern Data
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  Authors: Kristian Bjørn Hessellund, Ganggang Xu, Yongtao Guan, Rasmus Waagepetersen
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  PubDate: 2021-03-16T06:25:54Z
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A Regression Modeling Approach to Structured Shrinkage Estimation
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  Authors: Sihai Dave Zhao, William Biscarri
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Extremile Regression
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  Authors: Abdelaati Daouia, Irène Gijbels, Gilles Stupfler
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High-Dimensional Spatial Quantile Function-on-Scalar Regression
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  Authors: Zhengwu Zhang, Xiao Wang, Linglong Kong, Hongtu Zhu
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Nonparametric Tests of the Causal Null With Nondiscrete Exposures
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  Authors: Ted Westling
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Survival Regression Models With Dependent Bayesian Nonparametric Priors
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  Authors: Alan Riva-Palacio, Fabrizio Leisen, Jim Griffin
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  PubDate: 2021-02-10T05:35:11Z
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Covariate Information Number for Feature Screening in
Ultrahigh-Dimensional Supervised Problems
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  Authors: Debmalya Nandy, Francesca Chiaromonte, Runze Li
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Minimax Efficient Random Experimental Design Strategies With Application
to Model-Robust Design for Prediction
Open Access Article
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  Authors: Timothy W. Waite, David C. Woods
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  PubDate: 2021-02-10T05:23:10Z
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Linear Hypothesis Testing in Linear Models With High-Dimensional Responses
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  Authors: Changcheng Li Runze Li
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  PubDate: 2021-02-08T06:17:53Z
  DOI: 10.1080/01621459.2021.1884561
Semiparametric Inference for Nonmonotone Missing-Not-at-Random Data: The
No Self-Censoring Model
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  Authors: Daniel Malinsky, Ilya Shpitser, Eric J. Tchetgen Tchetgen
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  PubDate: 2021-02-03T03:36:05Z
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Sensitivity Analysis via the Proportion of Unmeasured Confounding
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  Authors: Matteo Bonvini, Edward H. Kennedy
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  PubDate: 2021-02-03T03:16:06Z
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Estimating Malaria Vaccine Efficacy in the Absence of a Gold Standard Case
Definition: Mendelian Factorial Design
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  Authors: Raiden B. Hasegawa, Dylan S. Small
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  PubDate: 2021-02-03T03:11:13Z
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Multicategory Angle-Based Learning for Estimating Optimal Dynamic
Treatment Regimes With Censored Data
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  Authors: Fei Xue, Yanqing Zhang, Wenzhuo Zhou, Haoda Fu, Annie Qu
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  PubDate: 2021-02-03T03:09:08Z
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Modeling High-Dimensional Time Series: A Factor Model With Dynamically
Dependent Factors and Diverging Eigenvalues
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  Authors: Zhaoxing Gao, Ruey S. Tsay
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  PubDate: 2021-02-03T03:09:03Z
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Statistical Modeling for Spatio-Temporal Data From Stochastic
Convection-Diffusion Processes
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  Authors: Xiao Liu, Kyongmin Yeo, Siyuan Lu
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  PubDate: 2021-02-03T03:08:23Z
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Optimal Design of Experiments for Implicit Models
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  Authors: Belmiro P. M. Duarte, Anthony C. Atkinson, José F. O. Granjo, Nuno M. C. Oliveira
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  PubDate: 2021-02-03T03:07:56Z
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LAWS: A Locally Adaptive Weighting and Screening Approach to Spatial
Multiple Testing
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  Authors: T. Tony Cai, Wenguang Sun, Yin Xia
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  PubDate: 2021-01-28T05:11:04Z
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Multiscale Quantile Segmentation
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  Authors: Laura Jula Vanegas, Merle Behr, Axel Munk
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  PubDate: 2021-01-27T07:45:47Z
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Hierarchical Transformed Scale Mixtures for Flexible Modeling of Spatial
Extremes on Datasets With Many Locations
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  Authors: Likun Zhang, Benjamin A. Shaby, Jennifer L. Wadsworth
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  PubDate: 2021-01-27T07:28:57Z
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High-Dimensional Vector Autoregressive Time Series Modeling via Tensor
Decomposition
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  Authors: Di Wang, Yao Zheng, Heng Lian, Guodong Li
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  PubDate: 2021-01-27T07:22:23Z
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Mehler’s Formula, Branching Process, and Compositional Kernels of
Deep Neural Networks
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  Authors: Tengyuan Liang, Hai Tran-Bach
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  PubDate: 2021-01-27T07:16:17Z
  DOI: 10.1080/01621459.2020.1853547
Functional Sequential Treatment Allocation
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  Authors: Anders Bredahl Kock, David Preinerstorfer, Bezirgen Veliyev
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  Citation: Journal of the American Statistical Association
  PubDate: 2021-01-19T05:31:07Z
  DOI: 10.1080/01621459.2020.1851236
Markov Neighborhood Regression for High-Dimensional Inference
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  Authors: Faming Liang, Jingnan Xue, Bochao Jia
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  Citation: Journal of the American Statistical Association
  PubDate: 2021-01-19T05:20:56Z
  DOI: 10.1080/01621459.2020.1841646
Predicting the Number of Future Events
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  Authors: Qinglong Tian, Fanqi Meng, Daniel J. Nordman, William Q. Meeker
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  Citation: Journal of the American Statistical Association
  PubDate: 2021-01-14T09:27:53Z
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Gaining Outlier Resistance With Progressive Quantiles: Fast Algorithms and
Theoretical Studies
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  Authors: Yiyuan She, Zhifeng Wang, Jiahui Shen
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  PubDate: 2021-01-14T09:05:57Z
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Smaller p-Values via Indirect Information
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  Authors: Peter Hoff
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  PubDate: 2021-01-14T09:02:44Z
  DOI: 10.1080/01621459.2020.1844720
Variational Bayes for High-Dimensional Linear Regression With Sparse
Priors
Open Access Article
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  Authors: Kolyan Ray, Botond Szabó
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  Citation: Journal of the American Statistical Association
  PubDate: 2021-01-14T08:59:48Z
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Robust Post-Matching Inference
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  Authors: Alberto Abadie, Jann Spiess
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  Citation: Journal of the American Statistical Association
  PubDate: 2021-01-14T08:32:15Z
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Coupled Generation
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  Authors: Ben Dai, Xiaotong Shen, Wing Wong
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  Citation: Journal of the American Statistical Association
  PubDate: 2021-01-04T08:03:04Z
  DOI: 10.1080/01621459.2020.1844719
Nonlinear Spectral Analysis: A Local Gaussian Approach
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  Authors: Lars Arne Jordanger, Dag Tjøstheim
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  Citation: Journal of the American Statistical Association
  PubDate: 2021-01-04T07:51:44Z
  DOI: 10.1080/01621459.2020.1840991