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January 2021, Volume 116, Issue 533
- 224-239 Efficient Estimation of Optimal Regimes Under a No Direct Effect Assumption
by Lin Liu & Zach Shahn & James M. Robins & Andrea Rotnitzky - 433-450 Stochastic Gradient Markov Chain Monte Carlo
by Christopher Nemeth & Paul Fearnhead
February 2021, Volume 116, Issue 533
- 200-206 Machine Intelligence for Individualized Decision Making Under a Counterfactual World: A Rejoinder
by Yifan Cui & Eric Tchetgen Tchetgen
March 2021, Volume 116, Issue 533
- 1-13 Toward Optimal Fingerprinting in Detection and Attribution of Changes in Climate Extremes
by Zhuo Wang & Yujing Jiang & Hui Wan & Jun Yan & Xuebin Zhang - 14-26 Integrating Multidimensional Data for Clustering Analysis With Applications to Cancer Patient Data
by Seyoung Park & Hao Xu & Hongyu Zhao - 27-43 Hierarchical Probabilistic Forecasting of Electricity Demand With Smart Meter Data
by Souhaib Ben Taieb & James W. Taylor & Rob J. Hyndman - 44-53 Triplet Matching for Estimating Causal Effects With Three Treatment Arms: A Comparative Study of Mortality by Trauma Center Level
by Giovanni Nattino & Bo Lu & Junxin Shi & Stanley Lemeshow & Henry Xiang - 54-67 Covariance-Based Sample Selection for Heterogeneous Data: Applications to Gene Expression and Autism Risk Gene Detection
by Kevin Z. Lin & Han Liu & Kathryn Roeder - 68-81 Intentional Control of Type I Error Over Unconscious Data Distortion: A Neyman–Pearson Approach to Text Classification
by Lucy Xia & Richard Zhao & Yanhui Wu & Xin Tong - 82-92 Reinforced Designs: Multiple Instruments Plus Control Groups as Evidence Factors in an Observational Study of the Effectiveness of Catholic Schools
by Bikram Karmakar & Dylan S. Small & Paul R. Rosenbaum - 93-106 A Hierarchical Max-Infinitely Divisible Spatial Model for Extreme Precipitation
by Gregory P. Bopp & Benjamin A. Shaby & Raphaël Huser - 107-115 Incorporating Animal Movement Into Distance Sampling
by R. Glennie & S. T. Buckland & R. Langrock & T. Gerrodette & L. T. Ballance & S. J. Chivers & M. D. Scott - 116-132 Modeling and Regionalization of China’s PM2.5 Using Spatial-Functional Mixture Models
by Decai Liang & Haozhe Zhang & Xiaohui Chang & Hui Huang - 144-158 Brain Regions Identified as Being Associated With Verbal Reasoning Through the Use of Imaging Regression via Internal Variation
by Long Feng & Xuan Bi & Heping Zhang - 159-161 Introduction to the Theory and Methods Special Issue on Precision Medicine and Individualized Policy Discovery
by Michael R. Kosorok & Eric B. Laber & Dylan S. Small & Donglin Zeng - 174-191 Optimal Individualized Decision Rules Using Instrumental Variable Methods
by Hongxiang Qiu & Marco Carone & Ekaterina Sadikova & Maria Petukhova & Ronald C. Kessler & Alex Luedtke - 192-195 Comment: Individualized Treatment Rules Under Endogeneity
by Sukjin Han - 196-199 Discussion of Cui and Tchetgen Tchetgen (2020) and Qiu et al. (2020)
by Bo Zhang & Hongming Pu - 207-209 Rejoinder: Optimal Individualized Decision Rules Using Instrumental Variable Methods
by Hongxiang Qiu & Marco Carone & Ekaterina Sadikova & Maria Petukhova & Ronald C. Kessler & Alex Luedtke - 240-255 Statistical Inference for Online Decision Making: In a Contextual Bandit Setting
by Haoyu Chen & Wenbin Lu & Rui Song - 256-268 Doubly Robust Estimation of Optimal Dosing Strategies
by Juliana Schulz & Erica E. M. Moodie - 283-294 Improved Doubly Robust Estimation in Learning Optimal Individualized Treatment Rules
by Yinghao Pan & Ying-Qi Zhao - 295-308 Selecting and Ranking Individualized Treatment Rules With Unmeasured Confounding
by Bo Zhang & Jordan Weiss & Dylan S. Small & Qingyuan Zhao - 309-321 Estimation of Optimal Individualized Treatment Rules Using a Covariate-Specific Treatment Effect Curve With High-Dimensional Covariates
by Wenchuan Guo & Xiao-Hua Zhou & Shujie Ma - 368-381 Robust Q-Learning
by Ashkan Ertefaie & James R. McKay & David Oslin & Robert L. Strawderman - 382-391 Off-Policy Estimation of Long-Term Average Outcomes With Applications to Mobile Health
by Peng Liao & Predrag Klasnja & Susan Murphy - 410-420 Personalized Policy Learning Using Longitudinal Mobile Health Data
by Xinyu Hu & Min Qian & Bin Cheng & Ying Kuen Cheung - 451-453 Handbook of Spatial Epidemiology
by The Editors - 453-455 Handbook of Environmental and Ecological Statistics
by Grace S. Chiu
October 2020, Volume 116, Issue 533
- 133-143 A Penalized Regression Framework for Building Polygenic Risk Models Based on Summary Statistics From Genome-Wide Association Studies and Incorporating External Information
by Ting-Huei Chen & Nilanjan Chatterjee & Maria Teresa Landi & Jianxin Shi - 210-223 A Two-Part Framework for Estimating Individualized Treatment Rules From Semicontinuous Outcomes
by Jared D. Huling & Maureen A. Smith & Guanhua Chen - 269-282 Learning Individualized Treatment Rules for Multiple-Domain Latent Outcomes
by Yuan Chen & Donglin Zeng & Yuanjia Wang - 421-432 Stochastic Tree Search for Estimating Optimal Dynamic Treatment Regimes
by Yilun Sun & Lu Wang
November 2020, Volume 116, Issue 533
- 322-334 BAGS: A Bayesian Adaptive Group Sequential Trial Design With Subgroup-Specific Survival Comparisons
by Ruitao Lin & Peter F. Thall & Ying Yuan - 392-409 Learning When-to-Treat Policies
by Xinkun Nie & Emma Brunskill & Stefan Wager
December 2020, Volume 116, Issue 533
- 162-173 A Semiparametric Instrumental Variable Approach to Optimal Treatment Regimes Under Endogeneity
by Yifan Cui & Eric Tchetgen Tchetgen - 353-367 A Multi-resolution Theory for Approximating Infinite-p-Zero-n: Transitional Inference, Individualized Predictions, and a World Without Bias-Variance Tradeoff
by Xinran Li & Xiao-Li Meng
July 2020, Volume 116, Issue 533
- 335-352 Estimation and Validation of Ratio-based Conditional Average Treatment Effects Using Observational Data
by Steve Yadlowsky & Fabio Pellegrini & Federica Lionetto & Stefan Braune & Lu Tian
December 2020, Volume 115, Issue 532
- 1559-1573 The Statistical Face of a Region Under Monsoon Rainfall in Eastern India
by Kaushik Jana & Debasis Sengupta & Subrata Kundu & Arindam Chakraborty & Purnima Shaw - 1574-1597 Bayesian Scalar on Image Regression With Nonignorable Nonresponse
by Xiangnan Feng & Tengfei Li & Xinyuan Song & Hongtu Zhu - 1598-1619 Testing the Predictability of U.S. Housing Price Index Returns Based on an IVX-AR Model
by Bingduo Yang & Wei Long & Liang Peng & Zongwu Cai - 1620-1634 Bayesian Double Feature Allocation for Phenotyping With Electronic Health Records
by Yang Ni & Peter Müller & Yuan Ji - 1635-1644 Nonparametric Bayesian Instrumental Variable Analysis: Evaluating Heterogeneous Effects of Coronary Arterial Access Site Strategies
by Samrachana Adhikari & Sherri Rose & Sharon-Lise Normand - 1645-1663 A Bayesian Latent Class Model to Predict Kidney Obstruction in the Absence of Gold Standard
by Changgee Chang & Jeong Hoon Jang & Amita Manatunga & Andrew T. Taylor & Qi Long - 1664-1674 Calibration for Computer Experiments With Binary Responses and Application to Cell Adhesion Study
by Chih-Li Sung & Ying Hung & William Rittase & Cheng Zhu & C. F. J. Wu - 1675-1688 Optimal Tradeoffs in Matched Designs Comparing US-Trained and Internationally Trained Surgeons
by Samuel D. Pimentel & Rachel R. Kelz - 1689-1699 Estimating the Effects of Fine Particulate Matter on 432 Cardiovascular Diseases Using Multi-Outcome Regression With Tree-Structured Shrinkage
by Emma G. Thomas & Lorenzo Trippa & Giovanni Parmigiani & Francesca Dominici - 1700-1714 A Tuning-free Robust and Efficient Approach to High-dimensional Regression
by Lan Wang & Bo Peng & Jelena Bradic & Runze Li & Yunan Wu - 1715-1716 Comment on “A Tuning-Free Robust and Efficient Approach to High-Dimensional Regression”
by Po-Ling Loh - 1717-1719 Discussion of “A Tuning-Free Robust and Efficient Approach to High-Dimensional Regression”
by Xiudi Li & Ali Shojaie - 1720-1725 Comment on “A Tuning-Free Robust and Efficient Approach to High-Dimensional Regression”
by Jianqing Fan & Cong Ma & Kaizheng Wang - 1726-1729 Rejoinder to “A Tuning-Free Robust and Efficient Approach to High-Dimensional Regression”
by Lan Wang & Bo Peng & Jelena Bradic & Runze Li & Yunan Wu - 1730-1746 Flexible Sensitivity Analysis for Observational Studies Without Observable Implications
by AlexanderM. Franks & Alexander D’Amour & Avi Feller - 1747-1755 Detecting Strong Signals in Gene Perturbation Experiments: An Adaptive Approach With Power Guarantee and FDR Control
by Leying Guan & Xi Chen & Wing Hung Wong - 1756-1770 Structured Latent Factor Analysis for Large-scale Data: Identifiability, Estimability, and Their Implications
by Yunxiao Chen & Xiaoou Li & Siliang Zhang - 1771-1783 Corrected Bayesian Information Criterion for Stochastic Block Models
by Jianwei Hu & Hong Qin & Ting Yan & Yunpeng Zhao - 1784-1797 Functional Horseshoe Priors for Subspace Shrinkage
by Minsuk Shin & Anirban Bhattacharya & Valen E. Johnson - 1798-1811 A Statistical Method for Emulation of Computer Models With Invariance-Preserving Properties, With Application to Structural Energy Prediction
by Xiao Nie & Peter Chien & Dane Morgan & Amy Kaczmarowski - 1812-1821 Optimal Designs for the Two-Dimensional Interference Model
by A. S. Hedayat & Heng Xu & Wei Zheng - 1822-1834 IPAD: Stable Interpretable Forecasting with Knockoffs Inference
by Yingying Fan & Jinchi Lv & Mahrad Sharifvaghefi & Yoshimasa Uematsu - 1835-1850 Fixed Effects Testing in High-Dimensional Linear Mixed Models
by Jelena Bradic & Gerda Claeskens & Thomas Gueuning - 1851-1860 Robust Inference Using Inverse Probability Weighting
by Xinwei Ma & Jingshen Wang - 1861-1872 Deep Knockoffs
by Yaniv Romano & Matteo Sesia & Emmanuel Candès - 1873-1887 On Optimal Tests for Rotational Symmetry Against New Classes of Hyperspherical Distributions
by Eduardo García-Portugués & Davy Paindaveine & Thomas Verdebout - 1888-1901 Revealing Subgroup Structure in Ranked Data Using a Bayesian WAND
by S. R. Johnson & D. A. Henderson & R. J. Boys - 1902-1916 Fast and Accurate Binary Response Mixed Model Analysis via Expectation Propagation
by P. Hall & I.M. Johnstone & J.T. Ormerod & M.P. Wand & J.C.F. Yu - 1917-1932 Improved Small-Sample Estimation of Nonlinear Cross-Validated Prediction Metrics
by David Benkeser & Maya Petersen & Mark J. van der Laan - 1933-1945 Empirical Frequency Band Analysis of Nonstationary Time Series
by Scott A. Bruce & Cheng Yong Tang & Martica H. Hall & Robert T. Krafty - 1946-1959 Optimal Designs of Two-Phase Studies
by Ran Tao & Donglin Zeng & Dan-Yu Lin - 1960-1977 The Five Trolls Under the Bridge: Principal Component Analysis With Asynchronous and Noisy High Frequency Data
by Dachuan Chen & Per A. Mykland & Lan Zhang - 1978-1997 Cross-Validation With Confidence
by Jing Lei - 1998-2010 Targeted Random Projection for Prediction From High-Dimensional Features
by Minerva Mukhopadhyay & David B. Dunson - 2011-2021 Doubly Robust Inference With Nonprobability Survey Samples
by Yilin Chen & Pengfei Li & Changbao Wu - 2022-2036 Mixed-Effect Time-Varying Network Model and Application in Brain Connectivity Analysis
by Jingfei Zhang & Will Wei Sun & Lexin Li - 2037-2052 Bayesian Hierarchical Models With Conjugate Full-Conditional Distributions for Dependent Data From the Natural Exponential Family
by Jonathan R. Bradley & Scott H. Holan & Christopher K. Wikle - 2053-2067 Adaptive Sparse Estimation With Side Information
by Trambak Banerjee & Gourab Mukherjee & Wenguang Sun - 2068-2083 Statistical Inference for Average Treatment Effects Estimated by Synthetic Control Methods
by Kathleen T. Li - 2084-2099 Kernel Meets Sieve: Post-Regularization Confidence Bands for Sparse Additive Model
by Junwei Lu & Mladen Kolar & Han Liu - 2100-2101 Handbook of Approximate Bayesian Computation
by Jordan J. Franks - 2101-2102 Handbook of Mixture Analysis
by Yen-Chi Chen - 2102-2104 The Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling Approach
by Richard J. Cook - 2105-2113 Editorial Collaborators
by The Editors
July 2020, Volume 115, Issue 531
- 1037-1054 Local Likelihood Estimation of Complex Tail Dependence Structures, Applied to U.S. Precipitation Extremes
by Daniela Castro-Camilo & Raphaël Huser - 1055-1065 ICeD-T Provides Accurate Estimates of Immune Cell Abundance in Tumor Samples by Allowing for Aberrant Gene Expression Patterns
by Douglas R. Wilson & Chong Jin & Joseph G. Ibrahim & Wei Sun - 1066-1078 Bayesian Nonparametric Policy Search With Application to Periodontal Recall Intervals
by Qian Guan & Brian J. Reich & Eric B. Laber & Dipankar Bandyopadhyay - 1079-1091 Genetic Variant Set-Based Tests Using the Generalized Berk–Jones Statistic With Application to a Genome-Wide Association Study of Breast Cancer
by Ryan Sun & Xihong Lin - 1092-1110 Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting
by Kenichiro McAlinn & Knut Are Aastveit & Jouchi Nakajima & Mike West - 1111-1124 Fine-Scale Spatiotemporal Air Pollution Analysis Using Mobile Monitors on Google Street View Vehicles
by Yawen Guan & Margaret C. Johnson & Matthias Katzfuss & Elizabeth Mannshardt & Kyle P. Messier & Brian J. Reich & Joon J. Song - 1125-1138 Modeling Between-Study Heterogeneity for Improved Replicability in Gene Signature Selection and Clinical Prediction
by Naim U. Rashid & Quefeng Li & Jen Jen Yeh & Joseph G. Ibrahim - 1139-1150 Predicting Clinical Outcomes in Glioblastoma: An Application of Topological and Functional Data Analysis
by Lorin Crawford & Anthea Monod & Andrew X. Chen & Sayan Mukherjee & Raúl Rabadán - 1151-1177 Template Independent Component Analysis: Targeted and Reliable Estimation of Subject-level Brain Networks Using Big Data Population Priors
by Amanda F. Mejia & Mary Beth Nebel & Yikai Wang & Brian S. Caffo & Ying Guo - 1178-1188 Panel Data Analysis via Mechanistic Models
by Carles Bretó & Edward L. Ionides & Aaron A. King - 1189-1200 Distance-Based Analysis of Ordinal Data and Ordinal Time Series
by Christian H. Weiß - 1201-1213 A Sparse Random Projection-Based Test for Overall Qualitative Treatment Effects
by Chengchun Shi & Wenbin Lu & Rui Song - 1214-1226 Testing for Jump Spillovers Without Testing for Jumps
by Valentina Corradi & Walter Distaso & Marcelo Fernandes - 1227-1235 Feature Selection by Canonical Correlation Search in High-Dimensional Multiresponse Models With Complex Group Structures
by Shan Luo & Zehua Chen - 1236-1250 GAP: A General Framework for Information Pooling in Two-Sample Sparse Inference
by Yin Xia & T. Tony Cai & Wenguang Sun - 1251-1267 iFusion: Individualized Fusion Learning
by Jieli Shen & Regina Y. Liu & Min-ge Xie - 1268-1278 Nonparametric Inference for Copulas and Measures of Dependence Under Length-Biased Sampling and Informative Censoring
by Yassir Rabhi & Taoufik Bouezmarni - 1279-1291 Simultaneous Covariance Inference for Multimodal Integrative Analysis
by Yin Xia & Lexin Li & Samuel N. Lockhart & William J. Jagust - 1292-1303 Main Effects and Interactions in Mixed and Incomplete Data Frames
by Geneviève Robin & Olga Klopp & Julie Josse & Éric Moulines & Robert Tibshirani - 1304-1319 Likelihood Ratio Tests for a Large Directed Acyclic Graph
by Chunlin Li & Xiaotong Shen & Wei Pan - 1320-1335 Bayesian Model Search for Nonstationary Periodic Time Series
by Beniamino Hadj-Amar & Bärbel Finkenstädt Rand & Mark Fiecas & Francis Lévi & Robert Huckstepp - 1336-1348 Tests for Scale Changes Based on Pairwise Differences
by Carina Gerstenberger & Daniel Vogel & Martin Wendler - 1349-1360 Comparing and Weighting Imperfect Models Using D-Probabilities
by Meng Li & David B. Dunson - 1361-1377 A Likelihood Ratio Approach to Sequential Change Point Detection for a General Class of Parameters
by Holger Dette & Josua Gösmann - 1378-1392 Distribution on Warp Maps for Alignment of Open and Closed Curves
by Karthik Bharath & Sebastian Kurtek - 1393-1405 Model-Free Forward Screening Via Cumulative Divergence
by Tingyou Zhou & Liping Zhu & Chen Xu & Runze Li - 1406-1419 Optimal Sparse Linear Prediction for Block-missing Multi-modality Data Without Imputation
by Guan Yu & Quefeng Li & Dinggang Shen & Yufeng Liu - 1420-1434 Statistical Analysis of Functions on Surfaces, With an Application to Medical Imaging
by Eardi Lila & John A. D. Aston - 1435-1448 Principal Boundary on Riemannian Manifolds
by Zhigang Yao & Zhenyue Zhang - 1449-1455 Simple Local Polynomial Density Estimators
by Matias D. Cattaneo & Michael Jansson & Xinwei Ma - 1456-1471 Nonparametric Estimation of Multivariate Mixtures
by Chaowen Zheng & Yichao Wu - 1472-1487 Efficiently Inferring the Demographic History of Many Populations With Allele Count Data
by Jack Kamm & Jonathan Terhorst & Richard Durbin & Yun S. Song - 1488-1497 Statistical Inference for Covariate-Adaptive Randomization Procedures
by Wei Ma & Yichen Qin & Yang Li & Feifang Hu - 1498-1517 Bayesian Inference for Sequential Treatments Under Latent Sequential Ignorability
by Federico Ricciardi & Alessandra Mattei & Fabrizia Mealli - 1518-1530 Studentized Sensitivity Analysis for the Sample Average Treatment Effect in Paired Observational Studies
by Colin B. Fogarty - 1531-1539 Estimating Optimal Dynamic Treatment Regimes With Survival Outcomes
by Gabrielle Simoneau & Erica E. M. Moodie & Jagtar S. Nijjar & Robert W. Platt & the Scottish Early Rheumatoid Arthritis Inception Cohort Investigators - 1540-1554 Combining Multiple Observational Data Sources to Estimate Causal Effects
by Shu Yang & Peng Ding - 1555-1557 Handbook of Graphical Models
by Genevera I. Allen - 1557-1558 Statistical Computing With R
by Ling Leng - 1558-1558 Time Series Clustering and Classification
by Ming Chen
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