Printed from https://ideas.repec.org/s/taf/jnlasa.html
Content
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 - 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