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Content
July 2023, Volume 118, Issue 543
- 1515-1524 A Correlated Network Scale-Up Model: Finding the Connection Between Subpopulations
by Ian Laga & Le Bao & Xiaoyue Niu - 1525-1537 Causal Inference in Transcriptome-Wide Association Studies with Invalid Instruments and GWAS Summary Data
by Haoran Xue & Xiaotong Shen & Wei Pan - 1538-1550 Assessing Disparities in Americans’ Exposure to PCBs and PBDEs based on NHANES Pooled Biomonitoring Data
by Yan Liu & Dewei Wang & Li Li & Dingsheng Li - 1551-1565 A Scale-Free Approach for False Discovery Rate Control in Generalized Linear Models
by Chenguang Dai & Buyu Lin & Xin Xing & Jun S. Liu - 1566-1568 Comment on “A Scale-Free Approach for False Discovery Rate Control in Generalized Linear Models” by Chengguang Dai, Buyu Lin, Xin Xing, and Jun S. Liu
by Qingzhao Zhang & Shuangge Ma - 1569-1572 Discussion of “A Scale-Free Approach for False Discovery Rate Control in Generalized Linear Models” by Dai, Lin, Xing, and Liu
by Yin Xia & T. Tony Cai - 1573-1577 Discussion on: “A Scale-Free Approach for False Discovery Rate Control in Generalized Linear Models” by Dai, Lin, Zing, Liu
by Gerda Claeskens & Maarten Jansen & Jing Zhou - 1578-1583 Discussion of “A Scale-Free Approach for False Discovery Rate Control in Generalized Linear Models”
by Michael Law & Peter Bühlmann - 1584-1585 Discussion of “A Scale-Free Approach for False Discovery Rate Control in Generalized Linear Models” by Chenguang Dai, Buyu Lin, Xin Xing, and Jun S. Liu
by Lucas Janson - 1586-1589 Comments on “A Scale-Free Approach for False Discovery Rate Control in Generalized Linear Models”
by Sai Li & Yisha Yao & Cun-Hui Zhang - 1590-1594 Rejoinder: A Scale-free Approach for False Discovery Rate Control in Generalized Linear Models
by Chenguang Dai & Buyu Lin & Xin Xing & Jun S. Liu - 1595-1605 Inference for High-Dimensional Exchangeable Arrays
by Harold D. Chiang & Kengo Kato & Yuya Sasaki - 1606-1619 Test of Weak Separability for Spatially Stationary Functional Field
by Decai Liang & Hui Huang & Yongtao Guan & Fang Yao - 1620-1629 Community Detection in General Hypergraph Via Graph Embedding
by Yaoming Zhen & Junhui Wang - 1630-1644 Online Estimation for Functional Data
by Ying Yang Fang Yao - 1645-1658 A General Framework for Inference on Algorithm-Agnostic Variable Importance
by Brian D. Williamson & Peter B. Gilbert & Noah R. Simon & Marco Carone - 1659-1670 Transport Monte Carlo: High-Accuracy Posterior Approximation via Random Transport
by Leo L. Duan - 1671-1681 An Outer-Product-of-Gradient Approach to Dimension Reduction and its Application to Classification in High Dimensional Space
by Zhibo Cai & Yingcun Xia & Weiqiang Hang - 1682-1691 Inference and Estimation for Random Effects in High-Dimensional Linear Mixed Models
by Michael Law & Ya’acov Ritov - 1692-1706 High-Order Joint Embedding for Multi-Level Link Prediction
by Yubai Yuan & Annie Qu - 1707-1717 Classification Trees for Imbalanced Data: Surface-to-Volume Regularization
by Yichen Zhu & Cheng Li & David B. Dunson - 1718-1732 Nonparametric Functional Graphical Modeling Through Functional Additive Regression Operator
by Kuang-Yao Lee & Lexin Li & Bing Li & Hongyu Zhao - 1733-1746 Fairness-Oriented Learning for Optimal Individualized Treatment Rules
by Ethan X. Fang & Zhaoran Wang & Lan Wang - 1747-1759 Pseudo-Bayesian Classified Mixed Model Prediction
by Haiqiang Ma & Jiming Jiang - 1760-1772 Tukey’s Depth for Object Data
by Xiongtao Dai & Sara Lopez-Pintado - 1773-1785 Threshold Selection in Feature Screening for Error Rate Control
by Xu Guo & Haojie Ren & Changliang Zou & Runze Li - 1786-1795 Multifile Partitioning for Record Linkage and Duplicate Detection
by Serge Aleshin-Guendel & Mauricio Sadinle - 1796-1810 Orthogonalized Kernel Debiased Machine Learning for Multimodal Data Analysis
by Xiaowu Dai & Lexin Li - 1811-1823 Score Matching for Compositional Distributions
by Janice L. Scealy & Andrew T. A. Wood - 1824-1836 Asymmetric Error Control Under Imperfect Supervision: A Label-Noise-Adjusted Neyman–Pearson Umbrella Algorithm
by Shunan Yao & Bradley Rava & Xin Tong & Gareth James - 1837-1848 A Deep Generative Approach to Conditional Sampling
by Xingyu Zhou & Yuling Jiao & Jin Liu & Jian Huang - 1849-1861 Sparse Topic Modeling: Computational Efficiency, Near-Optimal Algorithms, and Statistical Inference
by Ruijia Wu & Linjun Zhang & T. Tony Cai - 1862-1875 Query-Augmented Active Metric Learning
by Yujia Deng & Yubai Yuan & Haoda Fu & Annie Qu - 1876-1889 A Wavelet-Based Independence Test for Functional Data With an Application to MEG Functional Connectivity
by Rui Miao & Xiaoke Zhang & Raymond K. W. Wong - 1890-1899 Generalized Good-Turing Improves Missing Mass Estimation
by Amichai Painsky - 1900-1910 Spectral Density Estimation for Nonstationary Data With Nonzero Mean Function
by Anna E. Dudek & Łukasz Lenart - 1911-1922 Causal Spillover Effects Using Instrumental Variables
by Gonzalo Vazquez-Bare - 1923-1939 Efficient Fully Distribution-Free Center-Outward Rank Tests for Multiple-Output Regression and MANOVA
by Marc Hallin & Daniel Hlubinka & Šárka Hudecová - 1940-1952 Statistical Inference with Local Optima
by Yen-Chi Chen - 1953-1967 Identifying Effects of Multiple Treatments in the Presence of Unmeasured Confounding
by Wang Miao & Wenjie Hu & Elizabeth L. Ogburn & Xiao-Hua Zhou - 1968-1983 Time-to-Event Analysis with Unknown Time Origins via Longitudinal Biomarker Registration
by Tianhao Wang & Sarah J. Ratcliffe & Wensheng Guo - 1984-1996 Generalized Liquid Association Analysis for Multimodal Data Integration
by Lexin Li & Jing Zeng & Xin Zhang - 1997-2012 Estimation of Copulas via Maximum Mean Discrepancy
by Pierre Alquier & Badr-Eddine Chérief-Abdellatif & Alexis Derumigny & Jean-David Fermanian - 2013-2028 Bayesian Bootstrap Spike-and-Slab LASSO
by Lizhen Nie & Veronika Ročková - 2029-2044 Real-Time Regression Analysis of Streaming Clustered Data With Possible Abnormal Data Batches
by Lan Luo & Ling Zhou & Peter X.-K. Song - 2045-2058 Beyond Matérn: On A Class of Interpretable Confluent Hypergeometric Covariance Functions
by Pulong Ma & Anindya Bhadra - 2059-2071 Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework
by Chengchun Shi & Xiaoyu Wang & Shikai Luo & Hongtu Zhu & Jieping Ye & Rui Song - 2072-2087 Semiparametric Goodness-of-Fit Test for Clustered Point Processes with a Shape-Constrained Pair Correlation Function
by Ganggang Xu & Chen Liang & Rasmus Waagepetersen & Yongtao Guan - 2088-2100 High-Dimensional Gaussian Graphical Regression Models with Covariates
by Jingfei Zhang & Yi Li - 2101-2116 Optimal Estimation of the Number of Network Communities
by Jiashun Jin & Zheng Tracy Ke & Shengming Luo & Minzhe Wang - 2117-2128 Network Structure Learning Under Uncertain Interventions
by Federico Castelletti & Stefano Peluso - 2129-2142 Adaptive Conditional Distribution Estimation with Bayesian Decision Tree Ensembles
by Yinpu Li & Antonio R. Linero & Jared Murray - 2143-2157 On Robustness of Individualized Decision Rules
by Zhengling Qi & Jong-Shi Pang & Yufeng Liu - 2158-2170 Kernel Knockoffs Selection for Nonparametric Additive Models
by Xiaowu Dai & Xiang Lyu & Lexin Li - 2171-2183 Transfer Learning in Large-Scale Gaussian Graphical Models with False Discovery Rate Control
by Sai Li & T. Tony Cai & Hongzhe Li - 2184-2194 Testing the Effects of High-Dimensional Covariates via Aggregating Cumulative Covariances
by Runze Li & Kai Xu & Yeqing Zhou & Liping Zhu - 2195-2206 Adversarial Machine Learning: Bayesian Perspectives
by David Rios Insua & Roi Naveiro & Víctor Gallego & Jason Poulos - 2207-2209 Supervised Machine Learning for Text Analysis in R
by Martin Holub & Patrícia Martinková - 2209-2211 Modern Applied Regressions: Bayesian and Frequentist Analysis of Categorical and Limited Response variables with R and Stan
by Mark N. Harris - 2211-2211 Bootstrap Prediction Bands for Functional Time Series
by The Editors
April 2023, Volume 118, Issue 542
- 779-791 High-Dimensional Portfolio Selection with Cardinality Constraints
by Jin-Hong Du & Yifeng Guo & Xueqin Wang - 792-804 A Flexible Zero-Inflated Poisson-Gamma Model with Application to Microbiome Sequence Count Data
by Roulan Jiang & Xiang Zhan & Tianying Wang - 805-817 Feature Screening for Interval-Valued Response with Application to Study Association between Posted Salary and Required Skills
by Wei Zhong & Chen Qian & Wanjun Liu & Liping Zhu & Runze Li - 818-829 Crime in Philadelphia: Bayesian Clustering with Particle Optimization
by Cecilia Balocchi & Sameer K. Deshpande & Edward I. George & Shane T. Jensen - 830-845 Multivariate Temporal Point Process Regression
by Xiwei Tang & Lexin Li - 846-857 Nonparametric Causal Effects Based on Longitudinal Modified Treatment Policies
by Iván Díaz & Nicholas Williams & Katherine L. Hoffman & Edward J. Schenck - 858-868 Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind Deconvolution Under Random Designs
by Yuxin Chen & Jianqing Fan & Bingyan Wang & Yuling Yan - 869-882 Wasserstein Regression
by Yaqing Chen & Zhenhua Lin & Hans-Georg Müller - 883-897 A Reproducing Kernel Hilbert Space Approach to Functional Calibration of Computer Models
by Rui Tuo & Shiyuan He & Arash Pourhabib & Yu Ding & Jianhua Z. Huang - 898-912 Inference for High-Dimensional Censored Quantile Regression
by Zhe Fei & Qi Zheng & Hyokyoung G. Hong & Yi Li - 913-924 Collaborative Multilabel Classification
by Yunzhang Zhu & Xiaotong Shen & Hui Jiang & Wing Hung Wong - 925-936 A Kernel Log-Rank Test of Independence for Right-Censored Data
by Tamara Fernández & Arthur Gretton & David Rindt & Dino Sejdinovic - 937-947 A Particle Method for Solving Fredholm Equations of the First Kind
by Francesca R. Crucinio & Arnaud Doucet & Adam M. Johansen - 948-958 Derandomizing Knockoffs
by Zhimei Ren & Yuting Wei & Emmanuel Candès - 959-971 Greedy Segmentation for a Functional Data Sequence
by Yu-Ting Chen & Jeng-Min Chiou & Tzee-Ming Huang - 972-986 Bootstrap Prediction Bands for Functional Time Series
by Efstathios Paparoditis & Han Lin Shang - 987-999 Empirical Bayes Mean Estimation With Nonparametric Errors Via Order Statistic Regression on Replicated Data
by Nikolaos Ignatiadis & Sujayam Saha & Dennis L. Sun & Omkar Muralidharan - 1000-1010 Communication-Efficient Accurate Statistical Estimation
by Jianqing Fan & Yongyi Guo & Kaizheng Wang - 1011-1022 Functional Estimation and Change Detection for Nonstationary Time Series
by Fabian Mies - 1023-1037 Variable Selection for Global Fréchet Regression
by Danielle C. Tucker & Yichao Wu & Hans-Georg Müller - 1038-1055 Statistical Inference for High-Dimensional Matrix-Variate Factor Models
by Elynn Y. Chen & Jianqing Fan - 1056-1065 Cross-Fitted Residual Regression for High-Dimensional Heteroscedasticity Pursuit
by Le Zhou & Hui Zou - 1066-1077 Score-Driven Modeling of Spatio-Temporal Data
by Francesca Gasperoni & Alessandra Luati & Lucia Paci & Enzo D’Innocenzo - 1078-1089 Bagged Filters for Partially Observed Interacting Systems
by Edward L. Ionides & Kidus Asfaw & Joonha Park & Aaron A. King - 1090-1101 Reinforced Risk Prediction With Budget Constraint Using Irregularly Measured Data From Electronic Health Records
by Yinghao Pan & Eric B. Laber & Maureen A. Smith & Ying-Qi Zhao - 1102-1114 Noncompliance and Instrumental Variables for 2K Factorial Experiments
by Matthew Blackwell & Nicole E. Pashley - 1115-1125 Is a Classification Procedure Good Enough?—A Goodness-of-Fit Assessment Tool for Classification Learning
by Jiawei Zhang & Jie Ding & Yuhong Yang - 1126-1139 Online Debiasing for Adaptively Collected High-Dimensional Data With Applications to Time Series Analysis
by Yash Deshpande & Adel Javanmard & Mohammad Mehrabi - 1140-1151 Matching One Sample According to Two Criteria in Observational Studies
by B. Zhang & D. S. Small & K. B. Lasater & M. McHugh & J. H. Silber & P. R. Rosenbaum - 1152-1163 Model-Robust Inference for Clinical Trials that Improve Precision by Stratified Randomization and Covariate Adjustment
by Bingkai Wang & Ryoko Susukida & Ramin Mojtabai & Masoumeh Amin-Esmaeili & Michael Rosenblum - 1164-1175 Saddlepoint Approximations for Spatial Panel Data Models
by Chaonan Jiang & Davide La Vecchia & Elvezio Ronchetti & Olivier Scaillet - 1176-1194 Hamiltonian-Assisted Metropolis Sampling
by Zexi Song & Zhiqiang Tan - 1195-1206 Assumption-Lean Analysis of Cluster Randomized Trials in Infectious Diseases for Intent-to-Treat Effects and Network Effects
by Chan Park & Hyunseung Kang - 1207-1221 Rejective Sampling, Rerandomization, and Regression Adjustment in Survey Experiments
by Zihao Yang & Tianyi Qu & Xinran Li - 1222-1233 Structure of Nonregular Two-Level Designs
by David J. Edwards & Robert W. Mee - 1234-1251 Model-Assisted Estimation Through Random Forests in Finite Population Sampling
by Mehdi Dagdoug & Camelia Goga & David Haziza - 1252-1263 GEE-Assisted Variable Selection for Latent Variable Models with Multivariate Binary Data
by Francis K. C. Hui & Samuel Müller & A. H. Welsh - 1264-1271 Optimal Simulator Selection
by Ying Hung & Li-Hsiang Lin & C. F. Jeff Wu - 1272-1281 Identification, Semiparametric Efficiency, and Quadruply Robust Estimation in Mediation Analysis with Treatment-Induced Confounding
by Fan Xia & Kwun Chuen Gary Chan - 1282-1294 Evaluating Association Between Two Event Times with Observations Subject to Informative Censoring
by Dongdong Li & X. Joan Hu & Rui Wang - 1295-1304 Rerandomization in Stratified Randomized Experiments
by Xinhe Wang & Tingyu Wang & Hanzhong Liu - 1305-1318 Independent Nonlinear Component Analysis
by Florian Gunsilius & Susanne Schennach - 1319-1332 Statistical Inference for High-Dimensional Generalized Linear Models With Binary Outcomes
by T. Tony Cai & Zijian Guo & Rong Ma - 1333-1344 Discrepancy Between Global and Local Principal Component Analysis on Large-Panel High-Frequency Data
by Xin-Bing Kong & Jin-Guan Lin & Cheng Liu & Guang-Ying Liu - 1345-1358 Accelerating Bayesian Structure Learning in Sparse Gaussian Graphical Models
by Reza Mohammadi & Hélène Massam & Gérard Letac - 1359-1372 Fast Network Community Detection With Profile-Pseudo Likelihood Methods
by Jiangzhou Wang & Jingfei Zhang & Binghui Liu & Ji Zhu & Jianhua Guo - 1373-1384 Modeling the Extremes of Bivariate Mixture Distributions With Application to Oceanographic Data
by Stan Tendijck & Emma Eastoe & Jonathan Tawn & David Randell & Philip Jonathan - 1385-1401 Generalized Factor Model for Ultra-High Dimensional Correlated Variables with Mixed Types
by Wei Liu & Huazhen Lin & Shurong Zheng & Jin Liu - 1402-1414 A Likelihood-Based Approach for Multivariate Categorical Response Regression in High Dimensions
by Aaron J. Molstad & Adam J. Rothman - 1415-1428 Data-driven selection of the number of change-points via error rate control
by Hui Chen & Haojie Ren & Fang Yao & Changliang Zou - 1429-1447 Kernel-Based Partial Permutation Test for Detecting Heterogeneous Functional Relationship
by Xinran Li & Bo Jiang & Jun S. Liu - 1448-1449 Statistical Thinking in Clinical Trials
by Susan S. Ellenberg - 1449-1450 Handbook of Bayesian Variable Selection
by Yang Ni - 1451-1469 Bayesian Conjugacy in Probit, Tobit, Multinomial Probit and Extensions: A Review and New Results
by Niccolò Anceschi & Augusto Fasano & Daniele Durante & Giacomo Zanella
January 2023, Volume 118, Issue 541
- 1-2 Editorial: What Makes for a Great Applications and Case Studies Paper?
by Michael L. Stein - 3-17 LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures
by Zhengwu Zhang & Yuexuan Wu & Di Xiong & Joseph G. Ibrahim & Anuj Srivastava & Hongtu Zhu - 18-19 Discussion of LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures
by John A. D. Aston & Eardi Lila - 20-21 Discussion of “LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures”
by Moo K. Chung & Jamie L. Hanson & Richard J. Davidson & Seth D. Pollak - 22-24 Discussion of “LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures”
by Daiwei Zhang & Jian Kang - 25-28 Rejoinder: LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures
by Zhengwu Zhang & Yuexuan Wu & Di Xiong & Joseph G. Ibrahim & Anuj Srivastava & Hongtu Zhu - 29-42 A Generalized Integration Approach to Association Analysis with Multi-category Outcome: An Application to a Tumor Sequencing Study of Colorectal Cancer and Smoking
by Jiayin Zheng & Xinyuan Dong & Christina C. Newton & Li Hsu - 43-55 iProMix: A Mixture Model for Studying the Function of ACE2 based on Bulk Proteogenomic Data
by Xiaoyu Song & Jiayi Ji & Pei Wang - 56-69 Capture-Recapture Models with Heterogeneous Temporary Emigration
by Eleni Matechou & Raffaele Argiento - 70-83 Crop Yield Prediction Using Bayesian Spatially Varying Coefficient Models with Functional Predictors
by Yeonjoo Park & Bo Li & Yehua Li - 84-96 Interpolating Population Distributions using Public-Use Data: An Application to Income Segregation using American Community Survey Data
by Matthew Simpson & Scott H. Holan & Christopher K. Wikle & Jonathan R. Bradley - 97-108 Ultra-High Dimensional Quantile Regression for Longitudinal Data: An Application to Blood Pressure Analysis
by Tianhai Zu & Heng Lian & Brittany Green & Yan Yu - 109-121 Eigen Selection in Spectral Clustering: A Theory-Guided Practice
by Xiao Han & Xin Tong & Yingying Fan - 122-134 Bootstrap Inference for Quantile-based Modal Regression
by Tao Zhang & Kengo Kato & David Ruppert - 135-146 A Model-free Variable Screening Method Based on Leverage Score
by Wenxuan Zhong & Yiwen Liu & Peng Zeng - 147-164 Linear-Cost Covariance Functions for Gaussian Random Fields
by Jie Chen & Michael L. Stein - 165-176 Filtering the Rejection Set While Preserving False Discovery Rate Control
by Eugene Katsevich & Chiara Sabatti & Marina Bogomolov - 177-191 High-Dimensional MANOVA Via Bootstrapping and Its Application to Functional and Sparse Count Data
by Zhenhua Lin & Miles E. Lopes & Hans-Georg Müller - 192-207 Multivariate Rank-Based Distribution-Free Nonparametric Testing Using Measure Transportation
by Nabarun Deb & Bodhisattva Sen - 208-221 Regression Discontinuity Designs With a Continuous Treatment
by Yingying Dong & Ying-Ying Lee & Michael Gou - 222-241 Controlling False Discovery Rate Using Gaussian Mirrors
by Xin Xing & Zhigen Zhao & Jun S. Liu - 242-256 Experimental Evaluation of Individualized Treatment Rules
by Kosuke Imai & Michael Lingzhi Li - 257-271 Conditional Functional Graphical Models
by Kuang-Yao Lee & Dingjue Ji & Lexin Li & Todd Constable & Hongyu Zhao - 272-286 Semiparametric Efficiency in Convexity Constrained Single-Index Model
by Arun K. Kuchibhotla & Rohit K. Patra & Bodhisattva Sen - 287-304 Variable Selection Via Thompson Sampling
by Yi Liu & Veronika Ročková - 305-314 Model-Assisted Uniformly Honest Inference for Optimal Treatment Regimes in High Dimension
by Yunan Wu & Lan Wang & Haoda Fu - 315-326 Functional Time Series Prediction Under Partial Observation of the Future Curve
by Shuhao Jiao & Alexander Aue & Hernando Ombao - 327-342 Treatment Effect Estimation Under Additive Hazards Models With High-Dimensional Confounding
by Jue Hou & Jelena Bradic & Ronghui Xu - 343-359 Partition–Mallows Model and Its Inference for Rank Aggregation
by Wanchuang Zhu & Yingkai Jiang & Jun S. Liu & Ke Deng - 360-373 A Dynamic Interaction Semiparametric Function-on-Scalar Model
by Hua Liu & Jinhong You & Jiguo Cao - 374-392 Estimation of the Number of Spiked Eigenvalues in a Covariance Matrix by Bulk Eigenvalue Matching Analysis
by Zheng Tracy Ke & Yucong Ma & Xihong Lin - 393-404 Online Covariance Matrix Estimation in Stochastic Gradient Descent
by Wanrong Zhu & Xi Chen & Wei Biao Wu - 405-416 A Common Atoms Model for the Bayesian Nonparametric Analysis of Nested Data
by Francesco Denti & Federico Camerlenghi & Michele Guindani & Antonietta Mira - 417-423 Uniform Projection Designs and Strong Orthogonal Arrays
by Cheng-Yu Sun & Boxin Tang - 424-439 Partially Observed Dynamic Tensor Response Regression
by Jie Zhou & Will Wei Sun & Jingfei Zhang & Lexin Li - 440-456 Correlation Tensor Decomposition and Its Application in Spatial Imaging Data
by Yujia Deng & Xiwei Tang & Annie Qu - 457-468 RaSE: A Variable Screening Framework via Random Subspace Ensembles
by Ye Tian & Yang Feng - 469-488 Honest Confidence Sets for High-Dimensional Regression by Projection and Shrinkage
by Kun Zhou & Ker-Chau Li & Qing Zhou - 489-503 Distributional (Single) Index Models
by Alexander Henzi & Gian-Reto Kleger & Johanna F. Ziegel - 504-513 Improving Predictions When Interest Focuses on Extreme Random Effects
by Charles E. McCulloch & John M. Neuhaus - 514-523 Adaptive-to-Model Hybrid of Tests for Regressions
by Lingzhu Li & Xuehu Zhu & Lixing Zhu - 524-536 The Generalized Oaxaca-Blinder Estimator
by Kevin Guo & Guillaume Basse - 537-550 Stick-Breaking Processes With Exchangeable Length Variables
by María F. Gil–Leyva & Ramsés H. Mena - 551-570 Stochastic Tree Ensembles for Regularized Nonlinear Regression
by Jingyu He & P. Richard Hahn - 571-582 Sparse Identification and Estimation of Large-Scale Vector AutoRegressive Moving Averages
by Ines Wilms & Sumanta Basu & Jacob Bien & David S. Matteson - 583-595 Simultaneous Inference for Empirical Best Predictors With a Poverty Study in Small Areas
by Katarzyna Reluga & María-José Lombardía & Stefan Sperlich - 596-606 Latent Gaussian Count Time Series
by Yisu Jia & Stefanos Kechagias & James Livsey & Robert Lund & Vladas Pipiras - 607-621 False Discovery Rate Control Under General Dependence By Symmetrized Data Aggregation
by Lilun Du & Xu Guo & Wenguang Sun & Changliang Zou - 622-638 Individualized Group Learning
by Chencheng Cai & Rong Chen & Min-ge Xie - 639-650 Estimation of Knots in Linear Spline Models
by Guangyu Yang & Baqun Zhang & Min Zhang - 651-664 Efficient Estimation for Random Dot Product Graphs via a One-Step Procedure
by Fangzheng Xie & Yanxun Xu - 665-683 Random Forests for Spatially Dependent Data
by Arkajyoti Saha & Sumanta Basu & Abhirup Datta - 684-692 Nonparametric Bounds for Causal Effects in Imperfect Randomized Experiments
by Erin E. Gabriel & Arvid Sjölander & Michael C. Sachs - 693-706 Recovering Latent Variables by Matching
by Manuel Arellano & Stéphane Bonhomme - 707-718 Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations
by Edward McFowland & Cosma Rohilla Shalizi - 719-731 A Normality Test for High-dimensional Data Based on the Nearest Neighbor Approach
by Hao Chen & Yin Xia - 732-745 Structure–Adaptive Sequential Testing for Online False Discovery Rate Control
by Bowen Gang & Wenguang Sun & Weinan Wang - 746-760 A Joint MLE Approach to Large-Scale Structured Latent Attribute Analysis
by Yuqi Gu & Gongjun Xu - 761-773 Differential Privacy for Government Agencies—Are We There Yet?
by Jörg Drechsler - 774-776 Data Science Ethics: Concepts, Techniques and Cautionary Tales
by Sabrina Giordano - 776-777 Handbook of Measurement Error Models
by Kwun Chuen Gary Chan - 778-778 Correction to “Modeling Time-Varying Random Objects and Dynamic Networks”
by The Editors
October 2022, Volume 117, Issue 540
- 1605-1621 Variation and Covariation in Large-Scale Replication Projects: An Evaluation of Replicability
by Blakeley B. McShane & Ulf Böckenholt & Karsten T. Hansen - 1622-1626 The Potential of Factor Analysis for Replication, Generalization, and Integration
by Paul De Boeck & Michael L. DeKay & Menglin Xu - 1627-1630 Modeling and Learning From Variation and Covariation
by Blakeley B. McShane & Ulf Böckenholt & Karsten T. Hansen - 1631-1641 Functional Mixed Effects Clustering with Application to Longitudinal Urologic Chronic Pelvic Pain Syndrome Symptom Data
by Wensheng Guo & Mengying You & Jialin Yi & Michel A. Pontari & J. Richard Landis - 1642-1655 Causal Structural Learning on MPHIA Individual Dataset
by Le Bao & Changcheng Li & Runze Li & Songshan Yang - 1656-1668 Mapping the Genetic-Imaging-Clinical Pathway with Applications to Alzheimer’s Disease
by Dengdeng Yu & Linbo Wang & Dehan Kong & Hongtu Zhu - 1669-1683 Heterogeneous Mediation Analysis on Epigenomic PTSD and Traumatic Stress in a Predominantly African American Cohort
by Fei Xue & Xiwei Tang & Grace Kim & Karestan C. Koenen & Chantel L. Martin & Sandro Galea & Derek Wildman & Monica Uddin & Annie Qu - 1684-1694 A Regression Modeling Approach to Structured Shrinkage Estimation
by Sihai Dave Zhao & William Biscarri - 1695-1710 Neuronized Priors for Bayesian Sparse Linear Regression
by Minsuk Shin & Jun S. Liu - 1711-1725 Kernel Ordinary Differential Equations
by Xiaowu Dai & Lexin Li - 1726-1737 Inference in Experiments With Matched Pairs
by Yuehao Bai & Joseph P. Romano & Azeem M. Shaikh - 1738-1750 Linear Hypothesis Testing in Linear Models With High-Dimensional Responses
by Changcheng Li Runze Li - 1751-1762 Adaptive Inference for Change Points in High-Dimensional Data
by Yangfan Zhang & Runmin Wang & Xiaofeng Shao - 1763-1774 On the Hauck–Donner Effect in Wald Tests: Detection, Tipping Points, and Parameter Space Characterization
by Thomas W. Yee - 1775-1786 Distributed Estimation for Principal Component Analysis: An Enlarged Eigenspace Analysis
by Xi Chen & Jason D. Lee & He Li & Yun Yang - 1787-1808 Deep Compositional Spatial Models
by Andrew Zammit-Mangion & Tin Lok James Ng & Quan Vu & Maurizio Filippone - 1809-1819 Directed Community Detection With Network Embedding
by Jingnan Zhang & Xin He & Junhui Wang - 1820-1834 Two-Component Mixture Model in the Presence of Covariates
by Nabarun Deb & Sujayam Saha & Adityanand Guntuboyina & Bodhisattva Sen - 1835-1846 Inference for High-Dimensional Linear Mixed-Effects Models: A Quasi-Likelihood Approach
by Sai Li & T. Tony Cai & Hongzhe Li - 1847-1857 Variable Selection in the Presence of Factors: A Model Selection Perspective
by Gonzalo García-Donato & Rui Paulo - 1858-1874 First-Order Newton-Type Estimator for Distributed Estimation and Inference
by Xi Chen & Weidong Liu & Yichen Zhang - 1875-1886 Fast, Optimal, and Targeted Predictions Using Parameterized Decision Analysis
by Daniel R. Kowal