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Content
April 2020, Volume 115, Issue 530
- 852-865 Informed Proposals for Local MCMC in Discrete Spaces
by Giacomo Zanella - 866-885 Ensemble Kalman Methods for High-Dimensional Hierarchical Dynamic Space-Time Models
by Matthias Katzfuss & Jonathan R. Stroud & Christopher K. Wikle - 886-895 Copula Link-Based Additive Models for Right-Censored Event Time Data
by Giampiero Marra & Rosalba Radice - 896-907 Nonnegative Matrix Factorization Via Archetypal Analysis
by Hamid Javadi & Andrea Montanari - 908-919 Multiresolution Functional ANOVA for Large-Scale, Many-Input Computer Experiments
by Chih-Li Sung & Wenjia Wang & Matthew Plumlee & Benjamin Haaland - 920-930 On Prediction Properties of Kriging: Uniform Error Bounds and Robustness
by Wenjia Wang & Rui Tuo & C. F. Jeff Wu - 931-944 Functional Censored Quantile Regression
by Fei Jiang & Qing Cheng & Guosheng Yin & Haipeng Shen - 945-956 A Generalized Gaussian Process Model for Computer Experiments With Binary Time Series
by Chih-Li Sung & Ying Hung & William Rittase & Cheng Zhu & C. F. Jeff Wu - 957-971 Long-Range Dependent Curve Time Series
by Degui Li & Peter M. Robinson & Han Lin Shang - 972-984 Parsimonious Model Averaging With a Diverging Number of Parameters
by Xinyu Zhang & Guohua Zou & Hua Liang & Raymond J. Carroll - 985-996 Expected Conditional Characteristic Function-based Measures for Testing Independence
by Chenlu Ke & Xiangrong Yin - 997-1010 Additive Functional Regression for Densities as Responses
by Kyunghee Han & Hans-Georg Müller & Byeong U. Park - 1011-1027 A Simple Two-Sample Test in High Dimensions Based on L2-Norm
by Jin-Ting Zhang & Jia Guo & Bu Zhou & Ming-Yen Cheng - 1028-1029 Empirical Likelihood Methods in Biomedicine and Health
by Yichuan Zhao - 1029-1030 Innovative Strategies, Statistical Solutions and Simulations for Modern Clinical Trials
by Ionut Bebu - 1030-1032 Model-Based Geostatistics for Global Public Health: Methods and Applications
by Ian Laga & Xiaoyue Niu - 1032-1032 Statistical Modelling by Exponential Families
by Yen-Chi Chen - 1032-1033 Sufficient Dimension Reduction: Methods and Applications With R
by Daniel J. McDonald - 1033-1034 Theory of Spatial Statistics: A Concise Introduction
by Frederic P. Schoenberg - 1035-1036 Correction
by The Editors
January 2020, Volume 115, Issue 529
- 1-15 A Hierarchical Model of Nonhomogeneous Poisson Processes for Twitter Retweets
by Clement Lee & Darren J. Wilkinson - 16-31 A Bayesian Approach to Multistate Hidden Markov Models: Application to Dementia Progression
by Jonathan P. Williams & Curtis B. Storlie & Terry M. Therneau & Clifford R. Jack Jr & Jan Hannig - 32-46 Prediction and Inference With Missing Data in Patient Alert Systems
by Curtis B. Storlie & Terry M. Therneau & Rickey E. Carter & Nicholas Chia & John R. Bergquist & Jeanne M. Huddleston & Santiago Romero-Brufau - 47-65 Demand Models With Random Partitions
by Adam N. Smith & Greg M. Allenby - 66-78 Modeling Bronchiolitis Incidence Proportions in the Presence of Spatio-Temporal Uncertainty
by Matthew J. Heaton & Candace Berrett & Sierra Pugh & Amber Evans & Chantel Sloan - 79-89 Mapping Tumor-Specific Expression QTLs in Impure Tumor Samples
by DouglasR. Wilson & JosephG. Ibrahim & Wei Sun - 90-106 Quantile Function on Scalar Regression Analysis for Distributional Data
by Hojin Yang & Veerabhadran Baladandayuthapani & Arvind U.K. Rao & Jeffrey S. Morris - 107-122 Penalized and Constrained Optimization: An Application to High-Dimensional Website Advertising
by Gareth M. James & Courtney Paulson & Paat Rusmevichientong - 123-137 Generic Inference on Quantile and Quantile Effect Functions for Discrete Outcomes
by Victor Chernozhukov & Iván Fernández-Val & Blaise Melly & Kaspar Wüthrich - 138-151 From Fixed-X to Random-X Regression: Bias-Variance Decompositions, Covariance Penalties, and Prediction Error Estimation
by Saharon Rosset & Ryan J. Tibshirani - 152-156 Discussion of “From Fixed-X to Random-X Regression: Bias-Variance Decompositions, Covariance Penalties, and Prediction Error Estimation”
by Xiaotong Shen & Hsin-Cheng Huang - 157-160 Cross-Validation, Risk Estimation, and Model Selection: Comment on a Paper by Rosset and Tibshirani
by Stefan Wager - 161-162 From Fixed-X to Random-X Regression: Bias-Variance Decompositions, Covariance Penalties, and Prediction Error Estimation: Rejoinder
by Saharon Rosset & Ryan J. Tibshirani - 163-172 Sensitivity Analysis for Unmeasured Confounding in Meta-Analyses
by Maya B. Mathur & Tyler J. VanderWeele - 173-186 On Degrees of Freedom of Projection Estimators With Applications to Multivariate Nonparametric Regression
by Xi Chen & Qihang Lin & Bodhisattva Sen - 187-203 Bayesian Repulsive Gaussian Mixture Model
by Fangzheng Xie & Yanxun Xu - 204-216 Simultaneous Estimation and Variable Selection for Interval-Censored Data With Broken Adaptive Ridge Regression
by Hui Zhao & Qiwei Wu & Gang Li & Jianguo Sun - 217-230 On High-Dimensional Constrained Maximum Likelihood Inference
by Yunzhang Zhu & Xiaotong Shen & Wei Pan - 231-240 Estimation of Heterogeneous Individual Treatment Effects With Endogenous Treatments
by Qian Feng & Quang Vuong & Haiqing Xu - 241-253 Nonparametric Imputation by Data Depth
by Pavlo Mozharovskyi & Julie Josse & François Husson - 254-265 Adaptive Huber Regression
by Qiang Sun & Wen-Xin Zhou & Jianqing Fan - 266-279 Quantile Co-Movement in Financial Markets: A Panel Quantile Model With Unobserved Heterogeneity
by Tomohiro Ando & Jushan Bai - 280-291 From Distance Correlation to Multiscale Graph Correlation
by Cencheng Shen & Carey E. Priebe & Joshua T. Vogelstein - 292-306 D-CCA: A Decomposition-Based Canonical Correlation Analysis for High-Dimensional Datasets
by Hai Shu & Xiao Wang & Hongtu Zhu - 307-317 Ball Covariance: A Generic Measure of Dependence in Banach Space
by Wenliang Pan & Xueqin Wang & Heping Zhang & Hongtu Zhu & Jin Zhu - 318-333 Hierarchical Normalized Completely Random Measures to Cluster Grouped Data
by Raffaele Argiento & Andrea Cremaschi & Marina Vannucci - 334-347 PUlasso: High-Dimensional Variable Selection With Presence-Only Data
by Hyebin Song & Garvesh Raskutti - 348-361 A Randomized Exchange Algorithm for Computing Optimal Approximate Designs of Experiments
by Radoslav Harman & Lenka Filová & Peter Richtárik - 362-379 RANK: Large-Scale Inference With Graphical Nonlinear Knockoffs
by Yingying Fan & Emre Demirkaya & Gaorong Li & Jinchi Lv - 380-392 Matched Learning for Optimizing Individualized Treatment Strategies Using Electronic Health Records
by Peng Wu & Donglin Zeng & Yuanjia Wang - 393-402 Cauchy Combination Test: A Powerful Test With Analytic p-Value Calculation Under Arbitrary Dependency Structures
by Yaowu Liu & Jun Xie - 403-424 L2RM: Low-Rank Linear Regression Models for High-Dimensional Matrix Responses
by Dehan Kong & Baiguo An & Jingwen Zhang & Hongtu Zhu - 425-441 Estimation of the Boundary of a Variable Observed With Symmetric Error
by Jean-Pierre Florens & Léopold Simar & Ingrid Van Keilegom - 442-454 Debiased Inference on Treatment Effect in a High-Dimensional Model
by Jingshen Wang & Xuming He & Gongjun Xu - 455-466 Variational Inference for Stochastic Block Models From Sampled Data
by Timothée Tabouy & Pierre Barbillon & Julien Chiquet - 467-480 Estimation of Conditional Prevalence From Group Testing Data With Missing Covariates
by Aurore Delaigle & Wei Huang & Shaoke Lei - 481-482 Simulating Copulas: Stochastic Models, Sampling Algorithms, and Applications
by Thibault Vatter - 482-485 The Book of Why: The New Science of Cause and Effect
by Peter M. Aronow & Fredrik Sävje - 485-486 Measuring Agreement: Models, Methods, and Applications
by Noor Azina Ismail - 486-486 Multivariate Kernel Smoothing and Its Applications
by Qing Wang - 486-487 Theory of Stochastic Objects: Probability, Stochastic Processes and Inference
by Anita D. Behme - 487-488 Big Data in Omics and Imaging: Integrated Analysis and Causal Inference
by Oliver Y. Chén - 489-489 RETRACTED ARTICLE: Smoothing with Couplings of Conditional Particle Filters
by The Editors
October 2019, Volume 114, Issue 528
- 1427-1435 Choose to Lead
by Lisa Morrissey LaVange - 1436-1449 Value of Information: Sensitivity Analysis and Research Design in Bayesian Evidence Synthesis
by Christopher Jackson & Anne Presanis & Stefano Conti & Daniela De Angelis - 1450-1465 Inferring Atmospheric Release Characteristics in a Large Computer Experiment Using Bayesian Adaptive Splines
by Devin Francom & Bruno Sansó & Vera Bulaevskaya & Donald Lucas & Matthew Simpson - 1466-1480 Spatial Variable Selection and An Application to Virginia Lyme Disease Emergence
by Yimeng Xie & Li Xu & Jie Li & Xinwei Deng & Yili Hong & Korine Kolivras & David N. Gaines - 1481-1492 A Hierarchical Framework for Correcting Under-Reporting in Count Data
by Oliver Stoner & Theo Economou & Gabriela Drummond Marques da Silva - 1493-1504 Downstream Effects of Upstream Causes
by Bradley C. Saul & Michael G. Hudgens & Michael A. Mallin - 1505-1517 Nonparametric Bayes Models of Fiber Curves Connecting Brain Regions
by Zhengwu Zhang & Maxime Descoteaux & David B. Dunson - 1518-1531 Bayesian Probabilistic Numerical Methods in Time-Dependent State Estimation for Industrial Hydrocyclone Equipment
by Chris J. Oates & Jon Cockayne & Robert G. Aykroyd & Mark Girolami - 1532-1546 Design, Identification, and Sensitivity Analysis for Patient Preference Trials
by Dean Knox & Teppei Yamamoto & Matthew A. Baum & Adam J. Berinsky - 1547-1560 Scaled von Mises–Fisher Distributions and Regression Models for Paleomagnetic Directional Data
by J. L. Scealy & Andrew T. A. Wood - 1561-1573 A Spatio-Temporal Modeling Framework for Surveillance Data of Multiple Infectious Pathogens With Small Laboratory Validation Sets
by Xueying Tang & Yang Yang & Hong-Jie Yu & Qiao-Hong Liao & Nikolay Bliznyuk - 1574-1596 The Blessings of Multiple Causes
by Yixin Wang & David M. Blei - 1597-1601 Comment: Reflections on the Deconfounder
by Alexander D’Amour - 1602-1604 Comment on: “The Blessings of Multiple Causes” by Yixin Wang and David M. Blei
by Susan Athey & Guido W. Imbens & Michael Pollmann - 1605-1610 Comment: The Challenges of Multiple Causes
by Kosuke Imai & Zhichao Jiang - 1611-1615 Comment on “Blessings of Multiple Causes”
by Elizabeth L. Ogburn & Ilya Shpitser & Eric J. Tchetgen Tchetgen - 1616-1619 The Blessings of Multiple Causes: Rejoinder
by Yixin Wang & David M. Blei - 1620-1637 BET on Independence
by Kai Zhang - 1638-1650 Distance Metrics for Measuring Joint Dependence with Application to Causal Inference
by Shubhadeep Chakraborty & Xianyang Zhang - 1651-1664 Randomization Inference for Peer Effects
by Xinran Li & Peng Ding & Qian Lin & Dawei Yang & Jun S. Liu - 1665-1682 Time Series Experiments and Causal Estimands: Exact Randomization Tests and Trading
by Iavor Bojinov & Neil Shephard - 1683-1694 Forecasting Multiple Time Series With One-Sided Dynamic Principal Components
by Daniel Peña & Ezequiel Smucler & Victor J. Yohai - 1695-1707 Time-Varying Periodicity in Intraday Volatility
by Torben G. Andersen & Martin Thyrsgaard & Viktor Todorov - 1708-1725 Optimal Sparse Singular Value Decomposition for High-Dimensional High-Order Data
by Anru Zhang & Rungang Han - 1726-1739 Sparse Sliced Inverse Regression via Lasso
by Qian Lin & Zhigen Zhao & Jun S. Liu - 1740-1751 Composite Coefficient of Determination and Its Application in Ultrahigh Dimensional Variable Screening
by Efang Kong & Yingcun Xia & Wei Zhong - 1752-1764 Covariate Information Matrix for Sufficient Dimension Reduction
by Weixin Yao & Debmalya Nandy & Bruce G. Lindsay & Francesca Chiaromonte - 1765-1777 Semiparametric Regression Using Variational Approximations
by Francis K. C. Hui & C. You & H. L. Shang & Samuel Müller - 1778-1786 Robust Score Tests With Missing Data in Genomics Studies
by Kin Yau Wong & Donglin Zeng & D. Y. Lin - 1787-1799 Efficient Signal Inclusion With Genomic Applications
by X. Jessie Jeng & Teng Zhang & Jung-Ying Tzeng - 1800-1814 Uncertainty Quantification for Computer Models With Spatial Output Using Calibration-Optimal Bases
by James M. Salter & Daniel B. Williamson & John Scinocca & Viatcheslav Kharin - 1815-1825 Prediction Accuracy Measures for a Nonlinear Model and for Right-Censored Time-to-Event Data
by Gang Li & Xiaoyan Wang - 1826-1837 Bayesian Model Comparison with the Hyvärinen Score: Computation and Consistency
by Stephane Shao & Pierre E. Jacob & Jie Ding & Vahid Tarokh - 1838-1853 Bayesian Spectral Modeling for Multiple Time Series
by Annalisa Cadonna & Athanasios Kottas & Raquel Prado - 1854-1864 Robust Alternatives to ANCOVA for Estimating the Treatment Effect via a Randomized Comparative Study
by Fei Jiang & Lu Tian & Haoda Fu & Takahiro Hasegawa & L. J. Wei - 1865-1879 Generalized Additive Models for Exceedances of High Thresholds With an Application to Return Level Estimation for U.S. Wind Gusts
by Benjamin D. Youngman - 1880-1893 FarmTest: Factor-Adjusted Robust Multiple Testing With Approximate False Discovery Control
by Jianqing Fan & Yuan Ke & Qiang Sun & Wen-Xin Zhou - 1894-1907 Dynamic Tensor Clustering
by Will Wei Sun & Lexin Li - 1908-1925 Tuning-Free Heterogeneous Inference in Massive Networks
by Zhao Ren & Yongjian Kang & Yingying Fan & Jinchi Lv - 1926-1928 Handbook of Statistical Methods for Case-Control Studies
by Neil Pearce - 1928-1929 Linear Models and the Relevant Distributions and Matrix Algebra
by A. Alexandre Trindade - 1930-1938 Editorial Collaborators
by The Editors
July 2019, Volume 114, Issue 527
- 949-961 A Bayesian Hierarchical Summary Receiver Operating Characteristic Model for Network Meta-Analysis of Diagnostic Tests
by Qinshu Lian & James S. Hodges & Haitao Chu - 962-974 Bayesian Uncertainty Directed Trial Designs
by Steffen Ventz & Matteo Cellamare & Sergio Bacallado & Lorenzo Trippa - 975-990 A Geometric Perspective on the Power of Principal Component Association Tests in Multiple Phenotype Studies
by Zhonghua Liu & Xihong Lin - 991-1001 Inferring Brain Signals Synchronicity From a Sample of EEG Readings
by Qian Li & Damla Şentürk & Catherine A. Sugar & Shafali Jeste & Charlotte DiStefano & Joel Frohlich & Donatello Telesca - 1002-1017 Automatic Detection and Uncertainty Quantification of Landmarks on Elastic Curves
by Justin Strait & Oksana Chkrebtii & Sebastian Kurtek - 1018-1037 Calibration Concordance for Astronomical Instruments via Multiplicative Shrinkage
by Yang Chen & Xiao-Li Meng & Xufei Wang & David A. van Dyk & Herman L. Marshall & Vinay L. Kashyap - 1038-1049 Estimating and Testing Vaccine Sieve Effects Using Machine Learning
by David Benkeser & Peter B. Gilbert & Marco Carone - 1050-1062 Spatial Homogeneity Pursuit of Regression Coefficients for Large Datasets
by Furong Li & Huiyan Sang - 1063-1074 Diagnosing Glaucoma Progression With Visual Field Data Using a Spatiotemporal Boundary Detection Method
by Samuel I. Berchuck & Jean-Claude Mwanza & Joshua L. Warren - 1075-1080 Limits to Human Life Span Through Extreme Value Theory
by Jesson J. Einmahl & John H. J. Einmahl & Laurens de Haan - 1081-1096 A Spatial Modeling Approach for Linguistic Object Data: Analyzing Dialect Sound Variations Across Great Britain
by Shahin Tavakoli & Davide Pigoli & John A. D. Aston & John S. Coleman - 1097-1098 Discussion: Object-Oriented Data Analysis, Power Metrics, and Graph Laplacians
by Ian L. Dryden & Simon P. Preston & Katie E. Severn - 1099-1101 Discussion: A Spatial Modeling Approach for Linguistic Object Data: Analyzing Dialect Sound Variations Across Great Britain, by Shahin Tavakoli et al
by Alexander Petersen & Hans-Georg Müller - 1102-1102 Discussion: A Spatial Modeling Approach for Linguistic Object Data: Analysing Dialect Sound Variations Across Great Britain, by Shahin Tavakoli et al
by J. S. Marron - 1103-1104 Rejoinder for “A Spatial Modeling Approach for Linguistic Object Data: Analyzing Dialect Sound Variations Across Great Britain”
by Shahin Tavakoli & Davide Pigoli & John A. D. Aston & John S. Coleman - 1105-1112 Meta-Analysis of Mid-p-Values: Some New Results based on the Convex Order
by Patrick Rubin-Delanchy & Nicholas A. Heard & Daniel J. Lawson - 1113-1125 Robust Bayesian Inference via Coarsening
by Jeffrey W. Miller & David B. Dunson - 1126-1137 An Adapted Loss Function for Censored Quantile Regression
by Mickaël De Backer & Anouar El Ghouch & Ingrid Van Keilegom - 1138-1146 Factor and Idiosyncratic Empirical Processes
by Xinbing Kong & Jiangyan Wang & Jinbao Xing & Chao Xu & Chao Ying - 1147-1161 Frequentist Consistency of Variational Bayes
by Yixin Wang & David M. Blei - 1162-1173 Minimax Estimation of the Volume of a Set Under the Rolling Ball Condition
by Ery Arias-Castro & Beatriz Pateiro-López & Alberto Rodríguez-Casal - 1174-1190 Toward Computerized Efficient Estimation in Infinite-Dimensional Models
by Marco Carone & Alexander R. Luedtke & Mark J. van der Laan - 1191-1204 Estimation and Identification of a Varying-Coefficient Additive Model for Locally Stationary Processes
by Lixia Hu & Tao Huang & Jinhong You - 1205-1217 Skinny Gibbs: A Consistent and Scalable Gibbs Sampler for Model Selection
by Naveen N. Narisetty & Juan Shen & Xuming He - 1218-1231 Bayesian Regularization for Graphical Models With Unequal Shrinkage
by Lingrui Gan & Naveen N. Narisetty & Feng Liang - 1232-1240 Semiparametric Regression Analysis of Multiple Right- and Interval-Censored Events
by Fei Gao & Donglin Zeng & David Couper & D. Y. Lin - 1241-1250 Covariate-Adjusted Regression for Distorted Longitudinal Data With Informative Observation Times
by Shirong Deng & Xingqiu Zhao - 1251-1263 New Tests for Equality of Several Covariance Functions for Functional Data
by Jia Guo & Bu Zhou & Jin-Ting Zhang - 1264-1276 Invariant Causal Prediction for Sequential Data
by Niklas Pfister & Peter Bühlmann & Jonas Peters - 1277-1290 Sparse Minimum Discrepancy Approach to Sufficient Dimension Reduction with Simultaneous Variable Selection in Ultrahigh Dimension
by Wei Qian & Shanshan Ding & R. Dennis Cook - 1291-1304 Multiple Testing When Many p-Values are Uniformly Conservative, with Application to Testing Qualitative Interaction in Educational Interventions
by Qingyuan Zhao & Dylan S. Small & Weijie Su - 1305-1319 Covariate-Adjusted Tensor Classification in High Dimensions
by Yuqing Pan & Qing Mai & Xin Zhang - 1320-1338 Combined Hypothesis Testing on Graphs With Applications to Gene Set Enrichment Analysis
by Shulei Wang & Ming Yuan - 1339-1350 On the Use of the Lasso for Instrumental Variables Estimation with Some Invalid Instruments
by Frank Windmeijer & Helmut Farbmacher & Neil Davies & George Davey Smith - 1351-1365 Selection-Corrected Statistical Inference for Region Detection With High-Throughput Assays
by Yuval Benjamini & Jonathan Taylor & Rafael A. Irizarry - 1366-1381 Extremiles: A New Perspective on Asymmetric Least Squares
by Abdelaati Daouia & Irène Gijbels & Gilles Stupfler - 1382-1393 Quantile-Regression Inference With Adaptive Control of Size
by J. C. Escanciano & S. C. Goh - 1394-1403 MCMC for Imbalanced Categorical Data
by James E. Johndrow & Aaron Smith & Natesh Pillai & David B. Dunson - 1404-1417 Proper Inference for Value Function in High-Dimensional Q-Learning for Dynamic Treatment Regimes
by Wensheng Zhu & Donglin Zeng & Rui Song - 1418-1420 Asymptotic Analysis of Mixed Effects Models: Theory, Applications, and Open Problems
by Hongying Dai - 1420-1421 Data Science Foundations: Geometry and Topology of Complex Hierarchic Systems and Big Data Analytics
by Kaixian Yu - 1421-1421 Flexible Imputation of Missing Data, 2nd ed
by Shu Yang - 1421-1423 Missing and Modified Data in Nonparametric Estimation: With R Examples
by Ofer Harel - 1423-1424 Randomization, Masking, and Allocation Concealment
by Anna Snavely - 1424-1425 Risk Theory: A Heavy Tail Approach
by Chen Zhou - 1425-1425 Simulation and the Monte Carlo Method, 3rd ed
by Dootika Vats - 1425-1426 Statistical Data Fusion
by Jae-Kwang Kim
April 2019, Volume 114, Issue 526
- 495-513 Bayesian Semiparametric Functional Mixed Models for Serially Correlated Functional Data, With Application to Glaucoma Data
by Wonyul Lee & Michelle F. Miranda & Philip Rausch & Veerabhadran Baladandayuthapani & Massimo Fazio & J. Crawford Downs & Jeffrey S. Morris - 514-528 Sequential Nonparametric Tests for a Change in Distribution: An Application to Detecting Radiological Anomalies
by Oscar Hernan Madrid Padilla & Alex Athey & Alex Reinhart & James G. Scott - 529-540 Causal Interaction in Factorial Experiments: Application to Conjoint Analysis
by Naoki Egami & Kosuke Imai - 541-552 Bayesian Semiparametric Estimation of Cancer-Specific Age-at-Onset Penetrance With Application to Li-Fraumeni Syndrome
by Seung Jun Shin & Ying Yuan & Louise C. Strong & Jasmina Bojadzieva & Wenyi Wang - 553-564 Multilevel Matrix-Variate Analysis and its Application to Accelerometry-Measured Physical Activity in Clinical Populations
by Lei Huang & Jiawei Bai & Andrada Ivanescu & Tamara Harris & Mathew Maurer & Philip Green & Vadim Zipunnikov - 565-580 Priors for the Long Run
by Domenico Giannone & Michele Lenza & Giorgio E. Primiceri - 581-594 Batch Effects Correction with Unknown Subtypes
by Xiangyu Luo & Yingying Wei - 595-609 Functional Data Analysis of Dynamic PET Data
by Yakuan Chen & Jeff Goldsmith & R. Todd Ogden - 610-621 Fully Bayesian Analysis of RNA-seq Counts for the Detection of Gene Expression Heterosis
by Will Landau & Jarad Niemi & Dan Nettleton - 622-630 Joint Indirect Standardization When Only Marginal Distributions are Observed in the Index Population
by Yifei Wang & Daniel J. Tancredi & Diana L. Miglioretti - 631-644 Stochastic Quasi-Likelihood for Case-Control Point Pattern Data
by Ganggang Xu & Rasmus Waagepetersen & Yongtao Guan - 645-656 Nonparametric Causal Effects Based on Incremental Propensity Score Interventions
by Edward H. Kennedy - 657-667 Parameter Estimation and Variable Selection for Big Systems of Linear Ordinary Differential Equations: A Matrix-Based Approach
by Leqin Wu & Xing Qiu & Ya-xiang Yuan & Hulin Wu - 668-681 Communication-Efficient Distributed Statistical Inference
by Michael I. Jordan & Jason D. Lee & Yun Yang - 682-696 Joint Mean and Covariance Estimation with Unreplicated Matrix-Variate Data
by Michael Hornstein & Roger Fan & Kerby Shedden & Shuheng Zhou - 697-712 Excess Optimism: How Biased is the Apparent Error of an Estimator Tuned by SURE?
by Ryan J. Tibshirani & Saharon Rosset - 713-722 On Sensitivity Value of Pair-Matched Observational Studies
by Qingyuan Zhao - 723-734 Graphical Model Selection for Gaussian Conditional Random Fields in the Presence of Latent Variables
by Benjamin Frot & Luke Jostins & Gilean McVean - 735-748 High-Dimensional Posterior Consistency in Bayesian Vector Autoregressive Models
by Satyajit Ghosh & Kshitij Khare & George Michailidis - 749-758 Valid Post-Selection Inference in High-Dimensional Approximately Sparse Quantile Regression Models
by Alexandre Belloni & Victor Chernozhukov & Kengo Kato - 759-772 Large Covariance Estimation for Compositional Data Via Composition-Adjusted Thresholding
by Yuanpei Cao & Wei Lin & Hongzhe Li - 773-781 Variance Change Point Detection Under a Smoothly-Changing Mean Trend with Application to Liver Procurement
by Zhenguo Gao & Zuofeng Shang & Pang Du & John L. Robertson - 782-792 Graph-Guided Banding of the Covariance Matrix
by Jacob Bien - 793-803 Bootstrapping High-Frequency Jump Tests
by Prosper Dovonon & Sílvia Gonçalves & Ulrich Hounyo & Nour Meddahi - 804-819 Optimal Forecast Reconciliation for Hierarchical and Grouped Time Series Through Trace Minimization
by Shanika L. Wickramasuriya & George Athanasopoulos & Rob J. Hyndman - 820-830 Interpretable High-Dimensional Inference Via Score Projection With an Application in Neuroimaging
by Simon N. Vandekar & Philip T. Reiss & Russell T. Shinohara - 831-843 Speeding Up MCMC by Efficient Data Subsampling
by Matias Quiroz & Robert Kohn & Mattias Villani & Minh-Ngoc Tran - 844-856 cmenet: A New Method for Bi-Level Variable Selection of Conditional Main Effects
by Simon Mak & C. F. Jeff Wu - 857-868 Statistical Inference in a Directed Network Model With Covariates
by Ting Yan & Binyan Jiang & Stephen E. Fienberg & Chenlei Leng - 869-881 Testing for Trends in High-Dimensional Time Series
by Likai Chen & Wei Biao Wu - 882-892 A Mallows-Type Model Averaging Estimator for the Varying-Coefficient Partially Linear Model
by Rong Zhu & Alan T. K. Wan & Xinyu Zhang & Guohua Zou - 893-905 Probabilistic Community Detection With Unknown Number of Communities
by Junxian Geng & Anirban Bhattacharya & Debdeep Pati - 906-915 A Cautionary Tale on Instrumental Calibration for the Treatment of Nonignorable Unit Nonresponse in Surveys
by Éric Lesage & David Haziza & Xavier D’Haultfœuille - 916-927 Identifying Cointegration by Eigenanalysis
by Rongmao Zhang & Peter Robinson & Qiwei Yao - 928-937 A Generic Sure Independence Screening Procedure
by Wenliang Pan & Xueqin Wang & Weinan Xiao & Hongtu Zhu - 938-947 Inverse Probability Weighted Estimation of Risk Under Representative Interventions in Observational Studies
by Jessica G. Young & Roger W. Logan & James M. Robins & Miguel A. Hernán - 948-948 Book Review
by Jing Su
January 2019, Volume 114, Issue 525
- 1-19 Penalized Spline of Propensity Methods for Treatment Comparison
by Tingting Zhou & Michael R. Elliott & Roderick J. A. Little - 20-23 Comment on Penalized Spline of Propensity Methods for Treatment Comparison by Zhou, Elliott, and Little
by Andrew J. Spieker - 24-27 Discussion of PENCOMP
by Joseph Antonelli & Michael J. Daniels - 28-30 Comment: Penalized Spline of Propensity Methods for Treatment Comparison
by Qingxia Chen & Frank E. Harrell - 30-32 Discussion of “Penalized Spline of Propensity Methods for Treatment Comparison” by Zhou, Elliott, and Little
by Shu Yang & Donglin Zeng - 32-35 Discussion of “Penalized Spline of Propensity Methods for Treatment Comparison”
by Georgia Papadogeorgou & Fan Li - 35-38 Penalized Spline of Propensity Methods for Treatment Comparison: Rejoinder
by Tingting Zhou & Michael R. Elliott & Roderick J. A. Little - 39-47 Minimum Mean Squared Error Estimation of the Radius of Gyration in Small-Angle X-Ray Scattering Experiments
by Cody Alsaker & F. Jay Breidt & Mark J. van der Woerd - 48-60 Bayesian Hierarchical Varying-Sparsity Regression Models with Application to Cancer Proteogenomics
by Yang Ni & Francesco C. Stingo & Min Jin Ha & Rehan Akbani & Veerabhadran Baladandayuthapani