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Content
October 2022, Volume 117, Issue 540
- 1887-1903 On Characterizations and Tests of Benford’s Law
by Lucio Barabesi & Andrea Cerasa & Andrea Cerioli & Domenico Perrotta - 1904-1915 Preliminary Multiple-Test Estimation, With Applications to k-Sample Covariance Estimation
by Davy Paindaveine & Joséa Rasoafaraniaina & Thomas Verdebout - 1916-1930 A Versatile Estimation Procedure Without Estimating the Nonignorable Missingness Mechanism
by Jiwei Zhao & Yanyuan Ma - 1931-1950 Moderate-Dimensional Inferences on Quadratic Functionals in Ordinary Least Squares
by Xiao Guo & Guang Cheng - 1951-1963 Inference of Breakpoints in High-dimensional Time Series
by Likai Chen & Weining Wang & Wei Biao Wu - 1964-1980 Bayesian Framework for Simultaneous Registration and Estimation of Noisy, Sparse, and Fragmented Functional Data
by James Matuk & Karthik Bharath & Oksana Chkrebtii & Sebastian Kurtek - 1981-1995 Consistent Sparse Deep Learning: Theory and Computation
by Yan Sun & Qifan Song & Faming Liang - 1996-2013 Robust Two-Step Wavelet-Based Inference for Time Series Models
by Stéphane Guerrier & Roberto Molinari & Maria-Pia Victoria-Feser & Haotian Xu - 2014-2027 Testing Mediation Effects Using Logic of Boolean Matrices
by Chengchun Shi & Lexin Li - 2028-2042 Asymptotics for EBLUPs: Nested Error Regression Models
by Ziyang Lyu & A.H. Welsh - 2043-2055 Risk Projection for Time-to-Event Outcome Leveraging Summary Statistics With Source Individual-Level Data
by Jiayin Zheng & Yingye Zheng & Li Hsu - 2056-2073 Hierarchical Network Models for Exchangeable Structured Interaction Processes
by Walter Dempsey & Brandon Oselio & Alfred Hero - 2074-2085 Network Functional Varying Coefficient Model
by Xuening Zhu & Zhanrui Cai & Yanyuan Ma - 2086-2104 Nonparametric Fusion Learning for Multiparameters: Synthesize Inferences From Diverse Sources Using Data Depth and Confidence Distribution
by Dungang Liu & Regina Y. Liu & Min-ge Xie - 2105-2119 Individual Data Protected Integrative Regression Analysis of High-Dimensional Heterogeneous Data
by Tianxi Cai & Molei Liu & Yin Xia - 2120-2134 A Doubly Enhanced EM Algorithm for Model-Based Tensor Clustering
by Qing Mai & Xin Zhang & Yuqing Pan & Kai Deng - 2135-2146 Design-Based Ratio Estimators and Central Limit Theorems for Clustered, Blocked RCTs
by Peter Z. Schochet & Nicole E. Pashley & Luke W. Miratrix & Tim Kautz - 2147-2162 Detecting Abrupt Changes in the Presence of Local Fluctuations and Autocorrelated Noise
by Gaetano Romano & Guillem Rigaill & Vincent Runge & Paul Fearnhead - 2163-2181 Generalized Bayes Quantification Learning under Dataset Shift
by Jacob Fiksel & Abhirup Datta & Agbessi Amouzou & Scott Zeger - 2182-2193 Gradient-Based Markov Chain Monte Carlo for Bayesian Inference With Non-differentiable Priors
by Jacob Vorstrup Goldman & Torben Sell & Sumeetpal Sidhu Singh - 2194-2206 Testing Independence Under Biased Sampling
by Yaniv Tenzer & Micha Mandel & Or Zuk - 2207-2221 Integrative Factor Regression and Its Inference for Multimodal Data Analysis
by Quefeng Li & Lexin Li - 2222-2237 Single-index Thresholding in Quantile Regression
by Yingying Zhang & Huixia Judy Wang & Zhongyi Zhu - 2238-2251 Semi-Supervised Linear Regression
by David Azriel & Lawrence D. Brown & Michael Sklar & Richard Berk & Andreas Buja & Linda Zhao - 2252-2267 Modeling Time-Varying Random Objects and Dynamic Networks
by Paromita Dubey & Hans-Georg Müller - 2268-2282 Inference on Multi-level Partial Correlations Based on Multi-subject Time Series Data
by Yumou Qiu & Xiao-Hua Zhou - 2283-2287 Semiparametric Regression with R
by Zixiao Wang & Yi Feng & Lin Liu - 2287-2288 Sampling: Design and Analysis, 3rd ed
by S. Lynne Stokes
September 2022, Volume 117, Issue 539
- 1045-1059 Measuring Housing Vitality from Multi-Source Big Data and Machine Learning
by Yang Zhou & Lirong Xue & Zhengyu Shi & Libo Wu & Jianqing Fan - 1060-1062 Comments on “Measuring Housing Vitality from Multi-Source Big Data and Machine Learning”
by Wei Tu & Bei Jiang & Linglong Kong - 1063-1065 Discussion of “Measuring Housing Vitality from Multi-Source Big Data and Machine Learning”
by Sudipto Banerjee - 1066-1067 Rejoinder
by Yang Zhou & Lirong Xue & Zhengyu Shi & Libo Wu & Jianqing Fan - 1068-1081 Dynamic Stochastic Blockmodel Regression for Network Data: Application to International Militarized Conflicts
by Santiago Olivella & Tyler Pratt & Kosuke Imai - 1082-1093 A Mechanistic Model of Annual Sulfate Concentrations in the United States
by Nathan B. Wikle & Ephraim M. Hanks & Lucas R. F. Henneman & Corwin M. Zigler - 1094-1109 Copula Regression for Compound Distributions with Endogenous Covariates with Applications in Insurance Deductible Pricing
by Peng Shi & Gee Y. Lee - 1110-1121 High-Dimensional Mediation Analysis for Selecting DNA Methylation Loci Mediating Childhood Trauma and Cortisol Stress Reactivity
by Xu Guo & Runze Li & Jingyuan Liu & Mudong Zeng - 1122-1133 Bayesian Inferences on Neural Activity in EEG-Based Brain-Computer Interface
by Tianwen Ma & Yang Li & Jane E. Huggins & Ji Zhu & Jian Kang - 1134-1148 A Multimodal Multilevel Neuroimaging Model for Investigating Brain Connectome Development
by Yingtian Hu & Mahmoud Zeydabadinezhad & Longchuan Li & Ying Guo - 1149-1166 Confidence Intervals for Nonparametric Empirical Bayes Analysis
by Nikolaos Ignatiadis & Stefan Wager - 1167-1170 Nonparametric Empirical Bayes Prediction
by Noel Cressie - 1171-1174 Discussion of “Confidence Intervals for Nonparametric Empirical Bayes Analysis” by Ignatiadis and Wager
by Subhashis Ghosal - 1175-1178 Coverage Properties of Empirical Bayes Intervals: A Discussion of “Confidence Intervals for Nonparametric Empirical Bayes Analysis” by Ignatiadis and Wager
by Peter Hoff - 1179-1180 Discussion of “Confidence Intervals for Nonparametric Empirical Bayes Analysis” by Nikolaos Ignatiadis and Stefan Wager
by Bradley Efron - 1181-1182 Comment on: “Confidence Intervals for Nonparametric Empirical Bayes Analysis” by Ignatiadis and Wager
by Guido Imbens - 1183-1185 Discussion of “Confidence Intervals for Nonparametric Empirical Bayes Analysis”
by Marianna Pensky - 1186-1191 Discussion of “Confidence Intervals for Nonparametric Empirical Bayes Analysis”
by Dongyue Xie & Matthew Stephens - 1192-1199 Rejoinder: Confidence Intervals for Nonparametric Empirical Bayes Analysis
by Nikolaos Ignatiadis & Stefan Wager - 1200-1214 Markov Neighborhood Regression for High-Dimensional Inference
by Faming Liang & Jingnan Xue & Bochao Jia - 1215-1227 Random Partition Models for Microclustering Tasks
by Brenda Betancourt & Giacomo Zanella & Rebecca C. Steorts - 1228-1242 Regression Analysis of Asynchronous Longitudinal Functional and Scalar Data
by Ting Li & Tengfei Li & Zhongyi Zhu & Hongtu Zhu - 1243-1253 Coupled Generation
by Ben Dai & Xiaotong Shen & Wing Wong - 1254-1269 Smaller p-Values via Indirect Information
by Peter Hoff - 1270-1281 Variational Bayes for High-Dimensional Linear Regression With Sparse Priors
by Kolyan Ray & Botond Szabó - 1282-1295 Gaining Outlier Resistance With Progressive Quantiles: Fast Algorithms and Theoretical Studies
by Yiyuan She & Zhifeng Wang & Jiahui Shen - 1296-1310 Predicting the Number of Future Events
by Qinglong Tian & Fanqi Meng & Daniel J. Nordman & William Q. Meeker - 1311-1323 Functional Sequential Treatment Allocation
by Anders Bredahl Kock & David Preinerstorfer & Bezirgen Veliyev - 1324-1337 Mehler’s Formula, Branching Process, and Compositional Kernels of Deep Neural Networks
by Tengyuan Liang & Hai Tran-Bach - 1338-1356 High-Dimensional Vector Autoregressive Time Series Modeling via Tensor Decomposition
by Di Wang & Yao Zheng & Heng Lian & Guodong Li - 1357-1369 Hierarchical Transformed Scale Mixtures for Flexible Modeling of Spatial Extremes on Datasets With Many Locations
by Likun Zhang & Benjamin A. Shaby & Jennifer L. Wadsworth - 1370-1383 LAWS: A Locally Adaptive Weighting and Screening Approach to Spatial Multiple Testing
by T. Tony Cai & Wenguang Sun & Yin Xia - 1384-1397 Multiscale Quantile Segmentation
by Laura Jula Vanegas & Merle Behr & Axel Munk - 1398-1414 Modeling High-Dimensional Time Series: A Factor Model With Dynamically Dependent Factors and Diverging Eigenvalues
by Zhaoxing Gao & Ruey S. Tsay - 1415-1423 Semiparametric Inference for Nonmonotone Missing-Not-at-Random Data: The No Self-Censoring Model
by Daniel Malinsky & Ilya Shpitser & Eric J. Tchetgen Tchetgen - 1424-1437 Optimal Design of Experiments for Implicit Models
by Belmiro P. M. Duarte & Anthony C. Atkinson & José F. O. Granjo & Nuno M. C. Oliveira - 1438-1451 Multicategory Angle-Based Learning for Estimating Optimal Dynamic Treatment Regimes With Censored Data
by Fei Xue & Yanqing Zhang & Wenzhuo Zhou & Haoda Fu & Annie Qu - 1452-1465 Minimax Efficient Random Experimental Design Strategies With Application to Model-Robust Design for Prediction
by Timothy W. Waite & David C. Woods - 1466-1481 Estimating Malaria Vaccine Efficacy in the Absence of a Gold Standard Case Definition: Mendelian Factorial Design
by Raiden B. Hasegawa & Dylan S. Small - 1482-1499 Statistical Modeling for Spatio-Temporal Data From Stochastic Convection-Diffusion Processes
by Xiao Liu & Kyongmin Yeo & Siyuan Lu - 1500-1515 Semiparametric Multinomial Logistic Regression for Multivariate Point Pattern Data
by Kristian Bjørn Hessellund & Ganggang Xu & Yongtao Guan & Rasmus Waagepetersen - 1516-1529 Covariate Information Number for Feature Screening in Ultrahigh-Dimensional Supervised Problems
by Debmalya Nandy & Francesca Chiaromonte & Runze Li - 1530-1539 Survival Regression Models With Dependent Bayesian Nonparametric Priors
by Alan Riva-Palacio & Fabrizio Leisen & Jim Griffin - 1540-1550 Sensitivity Analysis via the Proportion of Unmeasured Confounding
by Matteo Bonvini & Edward H. Kennedy - 1551-1562 Nonparametric Tests of the Causal Null With Nondiscrete Exposures
by Ted Westling - 1563-1578 High-Dimensional Spatial Quantile Function-on-Scalar Regression
by Zhengwu Zhang & Xiao Wang & Linglong Kong & Hongtu Zhu - 1579-1586 Extremile Regression
by Abdelaati Daouia & Irène Gijbels & Gilles Stupfler - 1587-1600 An Invitation to Sequential Monte Carlo Samplers
by Chenguang Dai & Jeremy Heng & Pierre E. Jacob & Nick Whiteley - 1601-1603 A History of Data Visualization and Graphic Communication
by Hyunwoo Park - 1603-1604 Foundations of Statistics for Data Scientists: With R and Python
by Nicholas J. Horton
April 2022, Volume 117, Issue 538
- 533-546 Bayesian Edge Regression in Undirected Graphical Models to Characterize Interpatient Heterogeneity in Cancer
by Zeya Wang & Veerabhadran Baladandayuthapani & Ahmed O. Kaseb & Hesham M. Amin & Manal M. Hassan & Wenyi Wang & Jeffrey S. Morris - 547-560 Bayesian Spatial Binary Regression for Label Fusion in Structural Neuroimaging
by D. Andrew Brown & Christopher S. McMahan & Russell T. Shinohara & Kristin A. Linn - 561-573 A Cross-Validated Ensemble Approach to Robust Hypothesis Testing of Continuous Nonlinear Interactions: Application to Nutrition-Environment Studies
by Jeremiah Zhe Liu & Wenying Deng & Jane Lee & Pi-i Debby Lin & Linda Valeri & David C. Christiani & David C. Bellinger & Robert O. Wright & Maitreyi M. Mazumdar & Brent A. Coull - 574-590 Do We Exploit all Information for Counterfactual Analysis? Benefits of Factor Models and Idiosyncratic Correction
by Jianqing Fan & Ricardo Masini & Marcelo C. Medeiros - 591-601 Toward Causal Inference for Spatio-Temporal Data: Conflict and Forest Loss in Colombia
by Rune Christiansen & Matthias Baumann & Tobias Kuemmerle & Miguel D. Mahecha & Jonas Peters - 602-616 Modeling Pregnancy Outcomes Through Sequentially Nested Regression Models
by Xuan Bi & Long Feng & Cai Li & Heping Zhang - 617-626 Optimizing the JSM Program
by Luca Frigau & Qiuyi Wu & David Banks - 627-638 Distribution-Free Multisample Tests Based on Optimal Matchings With Applications to Single Cell Genomics
by Somabha Mukherjee & Divyansh Agarwal & Nancy R. Zhang & Bhaswar B. Bhattacharya - 639-653 The Hellinger Correlation
by Gery Geenens & Pierre Lafaye de Micheaux - 654-663 Semiparametric Fractional Imputation Using Gaussian Mixture Models for Handling Multivariate Missing Data
by Hejian Sang & Jae Kwang Kim & Danhyang Lee - 664-677 A Bottom-Up Approach to Testing Hypotheses That Have a Branching Tree Dependence Structure, With Error Rate Control
by Yunxiao Li & Yi-Juan Hu & Glen A. Satten - 678-692 Inferring Phenotypic Trait Evolution on Large Trees With Many Incomplete Measurements
by Gabriel Hassler & Max R. Tolkoff & William L. Allen & Lam Si Tung Ho & Philippe Lemey & Marc A. Suchard - 693-703 Estimation of Low Rank High-Dimensional Multivariate Linear Models for Multi-Response Data
by Changliang Zou & Yuan Ke & Wenyang Zhang - 704-717 Angle-Based Hierarchical Classification Using Exact Label Embedding
by Yiwei Fan & Xiaoling Lu & Yufeng Liu & Junlong Zhao - 718-731 Cross-Validation for Correlated Data
by Assaf Rabinowicz & Saharon Rosset - 732-751 Nonparametric Maximum Likelihood Methods for Binary Response Models With Random Coefficients
by Jiaying Gu & Roger Koenker - 752-764 A Semiparametric Approach to Model Effect Modification
by Muxuan Liang & Menggang Yu - 765-780 Monte Carlo Approximation of Bayes Factors via Mixing With Surrogate Distributions
by Chenguang Dai & Jun S. Liu - 781-793 Copula Gaussian Graphical Models for Functional Data
by Eftychia Solea & Bing Li - 794-808 Large-Scale Datastreams Surveillance via Pattern-Oriented-Sampling
by Haojie Ren & Changliang Zou & Nan Chen & Runze Li - 809-822 Low-Rank Covariance Function Estimation for Multidimensional Functional Data
by Jiayi Wang & Raymond K. W. Wong & Xiaoke Zhang - 823-834 Simultaneous Detection of Signal Regions Using Quadratic Scan Statistics With Applications to Whole Genome Association Studies
by Zilin Li & Yaowu Liu & Xihong Lin - 835-851 Warp Bridge Sampling: The Next Generation
by Lazhi Wang & David E. Jones & Xiao-Li Meng - 852-861 Estimating Number of Factors by Adjusted Eigenvalues Thresholding
by Jianqing Fan & Jianhua Guo & Shurong Zheng - 862-874 Bayesian Regression Using a Prior on the Model Fit: The R2-D2 Shrinkage Prior
by Yan Dora Zhang & Brian P. Naughton & Howard D. Bondell & Brian J. Reich - 875-886 Balancing Unobserved Covariates With Covariate-Adaptive Randomized Experiments
by Yang Liu & Feifang Hu - 887-896 Heteroscedasticity-Robust Inference in Linear Regression Models With Many Covariates
by Koen Jochmans - 897-908 A Minimax Optimal Ridge-Type Set Test for Global Hypothesis With Applications in Whole Genome Sequencing Association Studies
by Yaowu Liu & Zilin Li & Xihong Lin - 909-924 Learning Latent Factors From Diversified Projections and Its Applications to Over-Estimated and Weak Factors
by Jianqing Fan & Yuan Liao - 925-938 Center-Outward R-Estimation for Semiparametric VARMA Models
by M. Hallin & D. La Vecchia & H. Liu - 939-950 Causal Bounds for Outcome-Dependent Sampling in Observational Studies
by Erin E. Gabriel & Michael C. Sachs & Arvid Sjölander - 951-968 Hierarchical Community Detection by Recursive Partitioning
by Tianxi Li & Lihua Lei & Sharmodeep Bhattacharyya & Koen Van den Berge & Purnamrita Sarkar & Peter J. Bickel & Elizaveta Levina - 969-982 Highly Scalable Bayesian Geostatistical Modeling via Meshed Gaussian Processes on Partitioned Domains
by Michele Peruzzi & Sudipto Banerjee & Andrew O. Finley - 983-995 Robust Post-Matching Inference
by Alberto Abadie & Jann Spiess - 996-1009 Asymptotic Theory of Eigenvectors for Random Matrices With Diverging Spikes
by Jianqing Fan & Yingying Fan & Xiao Han & Jinchi Lv - 1010-1027 Nonlinear Spectral Analysis: A Local Gaussian Approach
by Lars Arne Jordanger & Dag Tjøstheim - 1028-1040 Heteroscedasticity-Adjusted Ranking and Thresholding for Large-Scale Multiple Testing
by Luella Fu & Bowen Gang & Gareth M. James & Wenguang Sun - 1041-1042 Bayesian Thinking in Biostatistics
by Yang Ni - 1043-1043 Correction
by The Editors
January 2022, Volume 117, Issue 537
- 1-11 On Genetic Correlation Estimation With Summary Statistics From Genome-Wide Association Studies
by Bingxin Zhao & Hongtu Zhu - 12-26 Elucidating Age and Sex-Dependent Association Between Frontal EEG Asymmetry and Depression: An Application of Multiple Imputation in Functional Regression
by Adam Ciarleglio & Eva Petkova & Ofer Harel - 27-37 Modeling the Marked Presence-Only Data: A Case Study of Estimating the Female Sex Worker Size in Malawi
by Ian Laga & Xiaoyue Niu & Le Bao - 38-51 Prioritizing Autism Risk Genes Using Personalized Graphical Models Estimated From Single-Cell RNA-seq Data
by Jianyu Liu & Haodong Wang & Wei Sun & Yufeng Liu - 67-81 Large-Scale Hypothesis Testing for Causal Mediation Effects with Applications in Genome-wide Epigenetic Studies
by Zhonghua Liu & Jincheng Shen & Richard Barfield & Joel Schwartz & Andrea A. Baccarelli & Xihong Lin - 82-93 Earthquake Risk Embedded in Property Prices: Evidence From Five Japanese Cities
by Masako Ikefuji & Roger J. A. Laeven & Jan R. Magnus & Yuan Yue - 94-116 Factor Models for High-Dimensional Tensor Time Series
by Rong Chen & Dan Yang & Cun-Hui Zhang - 117-117 Comment on “Factor Models for High-Dimensional Tensor Time Series” by Rong Chen, Dan Yang, and Cun-Hui Zhang
by Oliver B. Linton & Haihan Tang - 118-123 Comment on “Factor Models for High-Dimensional Tensor Time Series”
by Daniel Peña - 124-127 Comments on “Factor Models for High-Dimensional Tensor Time Series”
by Jialin Ouyang & Ming Yuan - 128-132 Rejoinder
by Rong Chen & Dan Yang & Cun-Hui Zhang - 133-155 Spectral Inference under Complex Temporal Dynamics
by Jun Yang & Zhou Zhou - 156-174 Testing for Balance in Social Networks
by Derek Feng & Randolf Altmeyer & Derek Stafford & Nicholas A. Christakis & Harrison H. Zhou - 175-183 Separable Effects for Causal Inference in the Presence of Competing Events
by Mats J. Stensrud & Jessica G. Young & Vanessa Didelez & James M. Robins & Miguel A. Hernán - 184-197 Spike-and-Slab Group Lassos for Grouped Regression and Sparse Generalized Additive Models
by Ray Bai & Gemma E. Moran & Joseph L. Antonelli & Yong Chen & Mary R. Boland - 198-213 A Multiple-Testing Procedure for High-Dimensional Mediation Hypotheses
by James Y. Dai & Janet L. Stanford & Michael LeBlanc - 214-224 “Generalized Measures of Correlation for Asymmetry, Nonlinearity, and Beyond”: Some Antecedents on Causality
by David E. Allen & Michael McAleer - 225-236 Estimating and Accounting for Unobserved Covariates in High-Dimensional Correlated Data
by Chris McKennan & Dan Nicolae - 237-250 Smoothing Spline Semiparametric Density Models
by Jiahui Yu & Jian Shi & Anna Liu & Yuedong Wang - 251-264 Joint Structural Break Detection and Parameter Estimation in High-Dimensional Nonstationary VAR Models
by Abolfazl Safikhani & Ali Shojaie - 265-276 Optimal Distributed Subsampling for Maximum Quasi-Likelihood Estimators With Massive Data
by Jun Yu & HaiYing Wang & Mingyao Ai & Huiming Zhang - 277-290 A Mode-Jumping Algorithm for Bayesian Factor Analysis
by Albert Xingyi Man & Steven Andrew Culpepper - 291-306 Detection of Local Differences in Spatial Characteristics Between Two Spatiotemporal Random Fields
by Sooin Yun & Xianyang Zhang & Bo Li - 307-319 Embedding Learning
by Ben Dai & Xiaotong Shen & Junhui Wang - 320-333 Regularized Optimal Transport of Covariates and Outcomes in Data Recoding
by Valérie Garès & Jérémy Omer - 334-347 An Empirical Bayes Method for Chi-Squared Data
by Lilun Du & Inchi Hu - 348-360 Mean and Covariance Estimation for Functional Snippets
by Zhenhua Lin & Jane-Ling Wang - 361-374 Estimation of Subgraph Densities in Noisy Networks
by Jinyuan Chang & Eric D. Kolaczyk & Qiwei Yao - 375-385 On Design Orthogonality, Maximin Distance, and Projection Uniformity for Computer Experiments
by Yaping Wang & Fasheng Sun & Hongquan Xu - 386-394 Mini-Batch Metropolis–Hastings With Reversible SGLD Proposal
by Tung-Yu Wu & Y. X. Rachel Wang & Wing H. Wong - 395-410 Distribution-Free Consistent Independence Tests via Center-Outward Ranks and Signs
by Hongjian Shi & Mathias Drton & Fang Han - 411-427 Covariate Adaptive False Discovery Rate Control With Applications to Omics-Wide Multiple Testing
by Xianyang Zhang & Jun Chen - 428-443 Model-Free Feature Screening and FDR Control With Knockoff Features
by Wanjun Liu & Yuan Ke & Jingyuan Liu & Runze Li - 444-454 Estimating a Change Point in a Sequence of Very High-Dimensional Covariance Matrices
by Holger Dette & Guangming Pan & Qing Yang - 455-468 Irrational Exuberance: Correcting Bias in Probability Estimates
by Gareth M. James & Peter Radchenko & Bradley Rava - 469-481 Semiparametric Estimation of the Distribution of Episodically Consumed Foods Measured With Error
by Félix Camirand Lemyre & Raymond J. Carroll & Aurore Delaigle - 482-494 Restricted Spatial Regression Methods: Implications for Inference
by Kori Khan & Catherine A. Calder - 495-509 AdaBoost Semiparametric Model Averaging Prediction for Multiple Categories
by Jialiang Li & Jing Lv & Alan T. K. Wan & Jun Liao - 510-526 Likelihood-Based Inference for Partially Observed Epidemics on Dynamic Networks
by Fan Bu & Allison E. Aiello & Jason Xu & Alexander Volfovsky - 527-527 Dynamic Treatment Regimes: Statistical Methods for Precision Medicine
by Ying-Qi Zhao - 528-528 An Introduction to Acceptance Sampling and SPC with R
by Youngjun Choe - 529-529 From Fixed-X to Random-X Regression: Bias-Variance Decompositions, Covariance Penalties, and Prediction Error Estimation: Correction
by The Editors - 530-530 Correction to: Semiparametric Inference for Non-monotone Missing-Not-at-Random Data: the No Self-Censoring Model
by The Editors
May 2021, Volume 117, Issue 537
- 52-66 Balancing Inferential Integrity and Disclosure Risk Via Model Targeted Masking and Multiple Imputation
by Bei Jiang & Adrian E. Raftery & Russell J. Steele & Naisyin Wang
October 2021, Volume 116, Issue 536
- 1561-1577 Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data
by Corbin Quick & Rounak Dey & Xihong Lin - 1578-1582 Statistical Models for COVID-19 Incidence, Cumulative Prevalence, and R t
by Nicholas P. Jewell - 1583-1586 Discussion on “Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data”
by Jyotishka Datta & Bhramar Mukherjee - 1587-1590 Discussion of “Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data”
by Natalie Dean & Yang Yang - 1591-1594 Rejoinder: Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data
by Corbin Quick & Rounak Dey & Xihong Lin - 1595-1608 IFAA: Robust Association Identification and Inference for Absolute Abundance in Microbiome Analyses
by Zhigang Li & Lu Tian & A. James O’Malley & Margaret R. Karagas & Anne G. Hoen & Brock C. Christensen & Juliette C. Madan & Quran Wu & Raad Z. Gharaibeh & Christian Jobin & Hongzhe Li - 1609-1624 Topic Modeling on Triage Notes With Semiorthogonal Nonnegative Matrix Factorization
by Yutong Li & Ruoqing Zhu & Annie Qu & Han Ye & Zhankun Sun - 1625-1636 Biased Encouragements and Heterogeneous Effects in an Instrumental Variable Study of Emergency General Surgical Outcomes
by Colin B. Fogarty & Kwonsang Lee & Rachel R. Kelz & Luke J. Keele - 1637-1647 A Bayesian State-Space Approach to Mapping Directional Brain Networks
by Huazhang Li & Yaotian Wang & Guofen Yan & Yinge Sun & Seiji Tanabe & Chang-Chia Liu & Mark S. Quigg & Tingting Zhang - 1648-1661 A Semiparametric Kernel Independence Test With Application to Mutational Signatures
by DongHyuk Lee & Bin Zhu - 1662-1673 Forecasting Unemployment Using Internet Search Data via PRISM
by Dingdong Yi & Shaoyang Ning & Chia-Jung Chang & S. C. Kou - 1674-1687 Investigating Clustering and Violence Interruption in Gang-Related Violent Crime Data Using Spatial–Temporal Point Processes With Covariates
by Junhyung Park & Frederic Paik Schoenberg & Andrea L. Bertozzi & P. Jeffrey Brantingham - 1688-1699 Graph-Based Equilibrium Metrics for Dynamic Supply–Demand Systems With Applications to Ride-sourcing Platforms
by Fan Zhou & Shikai Luo & Xiaohu Qie & Jieping Ye & Hongtu Zhu - 1700-1712 A Bayesian Hierarchical CACE Model Accounting for Incomplete Noncompliance With Application to a Meta-analysis of Epidural Analgesia on Cesarean Section
by Jincheng Zhou & James S. Hodges & Haitao Chu - 1713-1715 Introduction to the Special Section on Synthetic Control Methods
by Alberto Abadie & Matias D. Cattaneo - 1716-1730 Matrix Completion Methods for Causal Panel Data Models
by Susan Athey & Mohsen Bayati & Nikolay Doudchenko & Guido Imbens & Khashayar Khosravi - 1731-1745 On Robustness of Principal Component Regression
by Anish Agarwal & Devavrat Shah & Dennis Shen & Dogyoon Song - 1746-1763 Matrix Completion, Counterfactuals, and Factor Analysis of Missing Data
by Jushan Bai & Serena Ng - 1764-1772 On the Properties of the Synthetic Control Estimator with Many Periods and Many Controls
by Bruno Ferman - 1773-1788 Counterfactual Analysis With Artificial Controls: Inference, High Dimensions, and Nonstationarity
by Ricardo Masini & Marcelo C. Medeiros - 1789-1803 The Augmented Synthetic Control Method
by Eli Ben-Michael & Avi Feller & Jesse Rothstein - 1804-1816 Combining Matching and Synthetic Control to Tradeoff Biases From Extrapolation and Interpolation
by Maxwell Kellogg & Magne Mogstad & Guillaume A. Pouliot & Alexander Torgovitsky - 1817-1834 A Penalized Synthetic Control Estimator for Disaggregated Data
by Alberto Abadie & Jérémy L’Hour - 1835-1848 Randomization Tests in Observational Studies With Staggered Adoption of Treatment
by Azeem M. Shaikh & Panos Toulis - 1849-1864 An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls
by Victor Chernozhukov & Kaspar Wüthrich & Yinchu Zhu - 1865-1880 Prediction Intervals for Synthetic Control Methods
by Matias D. Cattaneo & Yingjie Feng & Rocio Titiunik - 1881-1897 Depth for Curve Data and Applications
by Pierre Lafaye de Micheaux & Pavlo Mozharovskyi & Myriam Vimond - 1898-1913 Randomization Tests for Weak Null Hypotheses in Randomized Experiments
by Jason Wu & Peng Ding - 1914-1927 Integrating Multisource Block-Wise Missing Data in Model Selection
by Fei Xue & Annie Qu - 1928-1940 Estimating Mixed Memberships With Sharp Eigenvector Deviations
by Xueyu Mao & Purnamrita Sarkar & Deepayan Chakrabarti - 1941-1952 Extrapolating Treatment Effects in Multi-Cutoff Regression Discontinuity Designs
by Matias D. Cattaneo & Luke Keele & Rocío Titiunik & Gonzalo Vazquez-Bare - 1953-1964 Spherical Regression Under Mismatch Corruption With Application to Automated Knowledge Translation
by Xu Shi & Xiaoou Li & Tianxi Cai - 1965-1982 Bayesian Projected Calibration of Computer Models
by Fangzheng Xie & Yanxun Xu - 1983-1993 Smooth Backfitting of Proportional Hazards With Multiplicative Components
by Munir Hiabu & Enno Mammen & M. Dolores Martínez-Miranda & Jens P. Nielsen - 1994-2008 Sparse Learning and Structure Identification for Ultrahigh-Dimensional Image-on-Scalar Regression
by Xinyi Li & Li Wang & Huixia Judy Wang - 2009-2022 A New Coefficient of Correlation
by Sourav Chatterjee - 2023-2040 Modeling Network Populations via Graph Distances
by Simón Lunagómez & Sofia C. Olhede & Patrick J. Wolfe