Content
July 2018, Volume 113, Issue 523
- 1003-1015 Modeling Motor Learning Using Heteroscedastic Functional Principal Components Analysis
by Daniel Backenroth & Jeff Goldsmith & Michelle D. Harran & Juan C. Cortes & John W. Krakauer & Tomoko Kitago - 1016-1027 A Bayesian Phase I/II Trial Design for Immunotherapy
by Suyu Liu & Beibei Guo & Ying Yuan - 1028-1039 Maximum Rank Reproducibility: A Nonparametric Approach to Assessing Reproducibility in Replicate Experiments
by Daisy Philtron & Yafei Lyu & Qunhua Li & Debashis Ghosh - 1040-1049 Front-Door Versus Back-Door Adjustment With Unmeasured Confounding: Bias Formulas for Front-Door and Hybrid Adjustments With Application to a Job Training Program
by Adam N. Glynn & Konstantin Kashin - 1050-1069 On the Long-Run Volatility of Stocks
by Carlos M. Carvalho & Hedibert F. Lopes & Robert E. McCulloch - 1070-1084 Cross-Screening in Observational Studies That Test Many Hypotheses
by Qingyuan Zhao & Dylan S. Small & Paul R. Rosenbaum - 1085-1093 On Recursive Bayesian Predictive Distributions
by P. Richard Hahn & Ryan Martin & Stephen G. Walker - 1094-1111 Distribution-Free Predictive Inference for Regression
by Jing Lei & Max G’Sell & Alessandro Rinaldo & Ryan J. Tibshirani & Larry Wasserman - 1112-1121 Assessing Time-Varying Causal Effect Moderation in Mobile Health
by Audrey Boruvka & Daniel Almirall & Katie Witkiewitz & Susan A. Murphy - 1122-1134 Quantitative Evaluation of the Trade-Off of Strengthened Instruments and Sample Size in Observational Studies
by Ashkan Ertefaie & Dylan S. Small & Paul R. Rosenbaum - 1135-1145 Quasi-Likelihood Estimation of a Censored Autoregressive Model With Exogenous Variables
by Chao Wang & Kung-Sik Chan - 1146-1155 A Weighted Edge-Count Two-Sample Test for Multivariate and Object Data
by Hao Chen & Xu Chen & Yi Su - 1156-1171 False Discovery Rate Smoothing
by Wesley Tansey & Oluwasanmi Koyejo & Russell A. Poldrack & James G. Scott - 1172-1183 Weighted False Discovery Rate Control in Large-Scale Multiple Testing
by Pallavi Basu & T. Tony Cai & Kiranmoy Das & Wenguang Sun - 1184-1194 Oracle Estimation of a Change Point in High-Dimensional Quantile Regression
by Sokbae Lee & Yuan Liao & Myung Hwan Seo & Youngki Shin - 1195-1209 Optimal Control and Additive Perturbations Help in Estimating Ill-Posed and Uncertain Dynamical Systems
by Quentin Clairon & Nicolas J.-B. Brunel - 1210-1218 On the Use of Reproducing Kernel Hilbert Spaces in Functional Classification
by José R. Berrendero & Antonio Cuevas & José L. Torrecilla - 1219-1227 Functional Feature Construction for Individualized Treatment Regimes
by Eric B. Laber & Ana-Maria Staicu - 1228-1242 Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
by Stefan Wager & Susan Athey - 1243-1254 Quantile-Optimal Treatment Regimes
by Lan Wang & Yu Zhou & Rui Song & Ben Sherwood - 1255-1267 A Bayesian Machine Learning Approach for Optimizing Dynamic Treatment Regimes
by Thomas A. Murray & Ying Yuan & Peter F. Thall - 1268-1283 Robust High-Dimensional Volatility Matrix Estimation for High-Frequency Factor Model
by Jianqing Fan & Donggyu Kim - 1284-1295 Identifying Latent Structures in Restricted Latent Class Models
by Gongjun Xu & Zhuoran Shang - 1296-1310 Modeling Persistent Trends in Distributions
by Jonas Mueller & Tommi Jaakkola & David Gifford - 1311-1326 Edge Exchangeable Models for Interaction Networks
by Harry Crane & Walter Dempsey - 1327-1340 Confidence Regions for Spatial Excursion Sets From Repeated Random Field Observations, With an Application to Climate
by Max Sommerfeld & Stephan Sain & Armin Schwartzman - 1341-1349 A Randomized Sequential Procedure to Determine the Number of Factors
by Lorenzo Trapani - 1350-1361 Inference in Linear Regression Models with Many Covariates and Heteroscedasticity
by Matias D. Cattaneo & Michael Jansson & Whitney K. Newey - 1362-1371 On the Null Distribution of Bayes Factors in Linear Regression
by Quan Zhou & Yongtao Guan - 1372-1390 Bayesian Inference in the Presence of Intractable Normalizing Functions
by Jaewoo Park & Murali Haran - 1391-1394 Book Reviews
by The Editors
April 2018, Volume 113, Issue 522
- 489-493 Statistics: Essential Now More Than Ever
by Barry D. Nussbaum - 494-504 A Permutation Test for the Regression Kink Design
by Peter Ganong & Simon Jäger - 505-518 Estimating the Number of Sources in Magnetoencephalography Using Spiked Population Eigenvalues
by Zhigang Yao & Ye Zhang & Zhidong Bai & William F. Eddy - 519-533 Scalable Bayesian Modeling, Monitoring, and Analysis of Dynamic Network Flow Data
by Xi Chen & Kaoru Irie & David Banks & Robert Haslinger & Jewell Thomas & Mike West - 534-545 Statistical Methods for Standard Membrane-Feeding Assays to Measure Transmission Blocking or Reducing Activity in Malaria
by Bruce J. Swihart & Michael P. Fay & Kazutoyo Miura - 546-559 A Tailored Multivariate Mixture Model for Detecting Proteins of Concordant Change Among Virulent Strains of Clostridium Perfringens
by Kun Chen & Neha Mishra & Joan Smyth & Haim Bar & Elizabeth Schifano & Lynn Kuo & Ming-Hui Chen - 560-570 On Estimation of the Hazard Function From Population-Based Case–Control Studies
by Li Hsu & Malka Gorfine & David Zucker - 571-581 A Unified Framework for Fitting Bayesian Semiparametric Models to Arbitrarily Censored Survival Data, Including Spatially Referenced Data
by Haiming Zhou & Timothy Hanson - 582-592 Semiparametric Estimation of Longitudinal Medical Cost Trajectory
by Liang Li & Chih-Hsien Wu & Jing Ning & Xuelin Huang & Ya-Chen Tina Shih & Yu Shen - 593-606 Nested Hierarchical Functional Data Modeling and Inference for the Analysis of Functional Plant Phenotypes
by Yuhang Xu & Yehua Li & Dan Nettleton - 607-614 Disentangling Bias and Variance in Election Polls
by Houshmand Shirani-Mehr & David Rothschild & Sharad Goel & Andrew Gelman - 615-625 Model Selection for High-Dimensional Quadratic Regression via Regularization
by Ning Hao & Yang Feng & Hao Helen Zhang - 626-636 Bayesian Regression Trees for High-Dimensional Prediction and Variable Selection
by Antonio R. Linero - 637-648 Unsupervised Self-Normalized Change-Point Testing for Time Series
by Ting Zhang & Liliya Lavitas - 649-659 Multivariate Functional Principal Component Analysis for Data Observed on Different (Dimensional) Domains
by Clara Happ & Sonja Greven - 660-674 Boosting in the Presence of Outliers: Adaptive Classification With Nonconvex Loss Functions
by Alexander Hanbo Li & Jelena Bradic - 675-685 Bayesian Nonparametric Calibration and Combination of Predictive Distributions
by Federico Bassetti & Roberto Casarin & Francesco Ravazzolo - 686-697 Design-Based Maps for Finite Populations of Spatial Units
by L. Fattorini & M. Marcheselli & L. Pratelli - 698-710 Group-Linear Empirical Bayes Estimates for a Heteroscedastic Normal Mean
by Asaf Weinstein & Zhuang Ma & Lawrence D. Brown & Cun-Hui Zhang - 711-729 Equivalence of Regression Curves
by Holger Dette & Kathrin Möllenhoff & Stanislav Volgushev & Frank Bretz - 730-745 On Reject and Refine Options in Multicategory Classification
by Chong Zhang & Wenbo Wang & Xingye Qiao - 746-754 Dimensionality Reduction and Variable Selection in Multivariate Varying-Coefficient Models With a Large Number of Covariates
by Kejun He & Heng Lian & Shujie Ma & Jianhua Z. Huang - 755-766 Hidden Population Size Estimation From Respondent-Driven Sampling: A Network Approach
by Forrest W. Crawford & Jiacheng Wu & Robert Heimer - 767-779 On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference
by Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell - 780-788 Parametric-Rate Inference for One-Sided Differentiable Parameters
by Alexander R. Luedtke & Mark J. van der Laan - 789-801 Distribution-Free Detection of Structured Anomalies: Permutation and Rank-Based Scans
by Ery Arias-Castro & Rui M. Castro & Ervin Tánczos & Meng Wang - 802-818 Efficient Functional ANOVA Through Wavelet-Domain Markov Groves
by Li Ma & Jacopo Soriano - 819-828 Invariant Inference and Efficient Computation in the Static Factor Model
by Joshua Chan & Roberto Leon-Gonzalez & Rodney W. Strachan - 829-844 Optimal Subsampling for Large Sample Logistic Regression
by HaiYing Wang & Rong Zhu & Ping Ma - 845-854 Residuals and Diagnostics for Ordinal Regression Models: A Surrogate Approach
by Dungang Liu & Heping Zhang - 855-867 The Bouncy Particle Sampler: A Nonreversible Rejection-Free Markov Chain Monte Carlo Method
by Alexandre Bouchard-Côté & Sebastian J. Vollmer & Arnaud Doucet - 868-881 Using Standard Tools From Finite Population Sampling to Improve Causal Inference for Complex Experiments
by Rahul Mukerjee & Tirthankar Dasgupta & Donald B. Rubin - 882-892 Nonparametric Maximum Likelihood Estimators of Time-Dependent Accuracy Measures for Survival Outcome Under Two-Stage Sampling Designs
by Dandan Liu & Tianxi Cai & Anna Lok & Yingye Zheng - 893-905 Efficient Estimation for Semiparametric Structural Equation Models With Censored Data
by Kin Yau Wong & Donglin Zeng & D. Y. Lin - 906-918 Testing for Inequality Constraints in Singular Models by Trimming or Winsorizing the Variance Matrix
by Ori Davidov & Casey M. Jelsema & Shyamal Peddada - 919-932 Semiparametric Ultra-High Dimensional Model Averaging of Nonlinear Dynamic Time Series
by Jia Chen & Degui Li & Oliver Linton & Zudi Lu - 933-947 Partial Identification of the Average Treatment Effect Using Instrumental Variables: Review of Methods for Binary Instruments, Treatments, and Outcomes
by Sonja A. Swanson & Miguel A. Hernán & Matthew Miller & James M. Robins & Thomas S. Richardson - 948-953 Book Reviews
by The Editors
January 2018, Volume 113, Issue 521
- 1-13 Learning Optimal Personalized Treatment Rules in Consideration of Benefit and Risk: With an Application to Treating Type 2 Diabetes Patients With Insulin Therapies
by Yuanjia Wang & Haoda Fu & Donglin Zeng - 14-25 Nonparametric Adjustment for Measurement Error in Time-to-Event Data: Application to Risk Prediction Models
by Danielle Braun & Malka Gorfine & Hormuzd A. Katki & Argyrios Ziogas & Giovanni Parmigiani - 26-40 The Effect of Probing “Don’t Know” Responses on Measurement Quality and Nonresponse in Surveys
by Jouni Kuha & Sarah Butt & Myrsini Katsikatsou & Chris J. Skinner - 41-55 Analyzing Two-Stage Experiments in the Presence of Interference
by Guillaume Basse & Avi Feller - 56-67 Compression and Conditional Emulation of Climate Model Output
by Joseph Guinness & Dorit Hammerling - 68-80 Modeling for Dynamic Ordinal Regression Relationships: An Application to Estimating Maturity of Rockfish in California
by Maria DeYoreo & Athanasios Kottas - 81-94 BNP-Seq: Bayesian Nonparametric Differential Expression Analysis of Sequencing Count Data
by Siamak Zamani Dadaneh & Xiaoning Qian & Mingyuan Zhou - 95-110 Variable Selection for Skewed Model-Based Clustering: Application to the Identification of Novel Sleep Phenotypes
by Meredith L. Wallace & Daniel J. Buysse & Anne Germain & Martica H. Hall & Satish Iyengar - 111-121 Modeling Heterogeneity in Healthcare Utilization Using Massive Medical Claims Data
by Ross P. Hilton & Yuchen Zheng & Nicoleta Serban - 122-133 Pair Copula Constructions for Insurance Experience Rating
by Peng Shi & Lu Yang - 134-151 A Bayesian Approach for Estimating Dynamic Functional Network Connectivity in fMRI Data
by Ryan Warnick & Michele Guindani & Erik Erhardt & Elena Allen & Vince Calhoun & Marina Vannucci - 152-168 Mission CO2ntrol: A Statistical Scientist's Role in Remote Sensing of Atmospheric Carbon Dioxide
by Noel Cressie - 168-170 Comment
by Petra M. Kuhnert - 171-173 Comment
by William F. Christensen & C. Shane Reese - 173-175 Comment
by Frédéric Chevallier & François-Marie Bréon - 176-178 Comment
by Marc G. Genton & Jaehong Jeong - 178-181 Rejoinder
by Noel Cressie - 182-201 Minimax Optimal Procedures for Locally Private Estimation
by John C. Duchi & Michael I. Jordan & Martin J. Wainwright - 201-203 Comment
by Anderson Y. Zhang & Harrison H. Zhou - 203-204 Comment
by Alfred Hero - 204-207 Comment
by Vishesh Karwa - 207-208 Comment
by Moritz Hardt - 208-211 Comment
by Aaron Roth - 212-215 Rejoinder
by John C. Duchi & Michael I. Jordan & Martin J. Wainwright - 216-229 Martingale Difference Divergence Matrix and Its Application to Dimension Reduction for Stationary Multivariate Time Series
by Chung Eun Lee & Xiaofeng Shao - 230-240 Exact p-Values for Network Interference
by Susan Athey & Dean Eckles & Guido W. Imbens - 241-251 Network Cross-Validation for Determining the Number of Communities in Network Data
by Kehui Chen & Jing Lei - 252-268 ECA: High-Dimensional Elliptical Component Analysis in Non-Gaussian Distributions
by Fang Han & Han Liu - 269-279 Classified Mixed Model Prediction
by Jiming Jiang & J. Sunil Rao & Jie Fan & Thuan Nguyen - 280-293 A General Framework for Estimation and Inference From Clusters of Features
by Stephen Reid & Jonathan Taylor & Robert Tibshirani - 294-305 Analysis of Gap Times Based on Panel Count Data With Informative Observation Times and Unknown Start Time
by Ling Ma & Rajeshwari Sundaram - 306-314 Block-Diagonal Covariance Selection for High-Dimensional Gaussian Graphical Models
by Emilie Devijver & Mélina Gallopin - 315-327 Error Variance Estimation in Ultrahigh-Dimensional Additive Models
by Zhao Chen & Jianqing Fan & Runze Li - 328-339 Multiple Testing of Submatrices of a Precision Matrix With Applications to Identification of Between Pathway Interactions
by Yin Xia & Tianxi Cai & T. Tony Cai - 340-356 Mixture Models With a Prior on the Number of Components
by Jeffrey W. Miller & Matthew T. Harrison - 357-368 Conditional Modeling of Longitudinal Data With Terminal Event
by Shengchun Kong & Bin Nan & John D. Kalbfleisch & Rajiv Saran & Richard Hirth - 369-379 On Inverse Probability Weighting for Nonmonotone Missing at Random Data
by BaoLuo Sun & Eric J. Tchetgen Tchetgen - 380-389 Embracing the Blessing of Dimensionality in Factor Models
by Quefeng Li & Guang Cheng & Jianqing Fan & Yuyan Wang - 390-400 Balancing Covariates via Propensity Score Weighting
by Fan Li & Kari Lock Morgan & Alan M. Zaslavsky - 401-416 Bayesian Semiparametric Multivariate Density Deconvolution
by Abhra Sarkar & Debdeep Pati & Antik Chakraborty & Bani K. Mallick & Raymond J. Carroll - 417-430 Correlated Random Measures
by Rajesh Ranganath & David M. Blei - 431-444 The Spike-and-Slab LASSO
by Veronika Ročková & Edward I. George - 445-454 Group Regularized Estimation Under Structural Hierarchy
by Yiyuan She & Zhifeng Wang & He Jiang - 455-466 Multi-Armed Bandit for Species Discovery: A Bayesian Nonparametric Approach
by Marco Battiston & Stefano Favaro & Yee Whye Teh - 467-479 Factor Copula Models for Replicated Spatial Data
by Pavel Krupskii & Raphaël Huser & Marc G. Genton - 486-486 Corrigendum
by The Editors - 487-487 Erratum
by The Editors
October 2017, Volume 112, Issue 520
- 1-1 Editorial Board EOV
by The Editors - 1381-1392 A Case Study in Personalized Medicine: Rilpivirine Versus Efavirenz for Treatment-Naive HIV Patients
by Wei Liu & Zhiwei Zhang & Lei Nie & Guoxing Soon - 1393-1404 PLEMT: A Novel Pseudolikelihood-Based EM Test for Homogeneity in Generalized Exponential Tilt Mixture Models
by Chuan Hong & Yang Ning & Shuang Wang & Hao Wu & Raymond J. Carroll & Yong Chen - 1405-1416 Conditional Spectral Analysis of Replicated Multiple Time Series With Application to Nocturnal Physiology
by Robert T. Krafty & Ori Rosen & David S. Stoffer & Daniel J. Buysse & Martica H. Hall - 1417-1429 The Design and Analysis for the Icing Wind Tunnel Experiment of a New Deicing Coating
by Xiaodong Li & Xu He & Yuanzhen He & Hui Zhang & Zhong Zhang & Dennis K. J. Lin - 1430-1442 Bayesian Nonparametric Ordination for the Analysis of Microbial Communities
by Boyu Ren & Sergio Bacallado & Stefano Favaro & Susan Holmes & Lorenzo Trippa - 1443-1452 Quantifying an Adherence Path-Specific Effect of Antiretroviral Therapy in the Nigeria PEPFAR Program
by Caleb H. Miles & Ilya Shpitser & Phyllis Kanki & Seema Meloni & Eric J. Tchetgen Tchetgen - 1453-1467 Upscaling Uncertainty with Dynamic Discrepancy for a Multi-Scale Carbon Capture System
by K. Sham Bhat & David S. Mebane & Priyadarshi Mahapatra & Curtis B. Storlie - 1468-1476 Efficient Semiparametric Inference Under Two-Phase Sampling, With Applications to Genetic Association Studies
by Ran Tao & Donglin Zeng & Dan-Yu Lin - 1477-1489 Evaluating the Quality of Survey and Administrative Data with Generalized Multitrait-Multimethod Models
by D. L. Oberski & A. Kirchner & S. Eckman & F. Kreuter - 1490-1503 Intraday Stochastic Volatility in Discrete Price Changes: The Dynamic Skellam Model
by Siem Jan Koopman & Rutger Lit & André Lucas - 1504-1515 A Probabilistic Record Linkage Model for Survival Data
by Michel H. Hof & Anita C. Ravelli & Aeilko H. Zwinderman - 1516-1530 Nonparametric Bayes Modeling of Populations of Networks
by Daniele Durante & David B. Dunson & Joshua T. Vogelstein - 1531-1534 Comment: Extending the Latent Position Model for Networks
by Adrian E. Raftery - 1534-1537 Comment: Nonparametric Bayes Modeling of Populations of Networks
by Tamara Broderick - 1537-1539 Comment
by Mark S. Handcock - 1539-1543 Comment: Nonparametric Bayes Modeling of Populations of Networks
by Nicholas J. Foti & Emily B. Fox - 1543-1547 Comment: A Discussion of “Nonparametric Bayes Modeling of Populations of Networks”
by Scott W. Linderman & David M. Blei - 1547-1552 Rejoinder: Nonparametric Bayes Modeling of Populations of Networks
by Daniele Durante & David B. Dunson & Joshua T. Vogelstein - 1553-1561 Linear Model Selection When Covariates Contain Errors
by Xinyu Zhang & Haiying Wang & Yanyuan Ma & Raymond J. Carroll - 1562-1570 Bootstrap Variance Estimation for Rejective Sampling
by Wayne A. Fuller & Jason C. Legg & Yang Li - 1571-1586 Estimation and Inference of Quantile Regression for Survival Data Under Biased Sampling
by Gongjun Xu & Tony Sit & Lan Wang & Chiung-Yu Huang - 1587-1597 Variable Selection in Kernel Regression Using Measurement Error Selection Likelihoods
by Kyle R. White & Leonard A. Stefanski & Yichao Wu - 1598-1611 The Hamming Ball Sampler
by Michalis K. Titsias & Christopher Yau - 1612-1622 Rotated Sphere Packing Designs
by Xu He - 1623-1635 Frequency of Frequencies Distributions and Size-Dependent Exchangeable Random Partitions
by Mingyuan Zhou & Stefano Favaro & Stephen G Walker - 1636-1647 The Iterated Auxiliary Particle Filter
by Pieralberto Guarniero & Adam M. Johansen & Anthony Lee - 1648-1662 A Semiparametric Single-Index Risk Score Across Populations
by Shujie Ma & Yanyuan Ma & Yanqing Wang & Eli S. Kravitz & Raymond J. Carroll - 1663-1674 A Simple Parametric Model Selection Test
by Susanne M. Schennach & Daniel Wilhelm - 1675-1683 Composite Designs Based on Orthogonal Arrays and Definitive Screening Designs
by Yong-Dao Zhou & Hongquan Xu - 1684-1696 Density Level Sets: Asymptotics, Inference, and Visualization
by Yen-Chi Chen & Christopher R. Genovese & Larry Wasserman - 1697-1707 Network Reconstruction From High-Dimensional Ordinary Differential Equations
by Shizhe Chen & Ali Shojaie & Daniela M. Witten - 1708-1719 Bayesian Simultaneous Edit and Imputation for Multivariate Categorical Data
by Daniel Manrique-Vallier & Jerome P. Reiter - 1720-1732 Bootstrap Inference of Matching Estimators for Average Treatment Effects
by Taisuke Otsu & Yoshiyasu Rai - 1733-1743 Statistical Tests for Large Tree-Structured Data
by Karthik Bharath & Prabhanjan Kambadur & Dipak. K. Dey & Arvind Rao & Veerabhadran Baladandayuthapani - 1744-1758 Estimation of the Continuous and Discontinuous Leverage Effects
by Yacine Aït-Sahalia & Jianqing Fan & Roger J. A. Laeven & Christina Dan Wang & Xiye Yang - 1759-1769 General Forms of Finite Population Central Limit Theorems with Applications to Causal Inference
by Xinran Li & Peng Ding - 1770-1770 Correction
by Samuel D. Pimentel & Rachel R. Kelz & Jeffrey H. Silber & Paul R. Rosenbaum - 1771-1783 Book Reviews
by The Editors - 1784-1791 Editorial Collaborators
by The Editors
July 2017, Volume 112, Issue 519
- 885-895 Statistical Significance and the Dichotomization of Evidence
by Blakeley B. McShane & David Gal - 895-897 A -Value to Die For
by Donald Berry - 897-898 The Substitute for -Values
by William M. Briggs - 899-901 Some Natural Solutions to the -Value Communication Problem—and Why They Won’t Work
by Andrew Gelman & John Carlin - 902-904 Statistical Significance and the Dichotomization of Evidence: The Relevance of the ASA Statement on Statistical Significance and p-Values for Statisticians
by Eric B. Laber & Kerby Shedden - 904-908 Rejoinder: Statistical Significance and the Dichotomization of Evidence
by Blakeley B. McShane & David Gal - 909-920 Optimal Seed Deployment Under Climate Change Using Spatial Models: Application to Loblolly Pine in the Southeastern US
by Alfredo Farjat & Brian J. Reich & Joseph Guinness & Ross Whetten & Steven McKeand & Fikret Isik - 921-932 Mining Massive Amounts of Genomic Data: A Semiparametric Topic Modeling Approach
by Ethan X. Fang & Min-Dian Li & Michael I. Jordan & Han Liu - 933-947 Mortality Rate Estimation and Standardization for Public Reporting: Medicare’s Hospital Compare
by E. I. George & V. Ročková & P. R. Rosenbaum & V. A. Satopää & J. H. Silber - 948-965 “When, Where, and How” of Efficiency Estimation: Improved Procedures for Stochastic Frontier Modeling
by Mike G. Tsionas - 966-978 Set-Based Tests for the Gene–Environment Interaction in Longitudinal Studies
by Zihuai He & Min Zhang & Seunggeun Lee & Jennifer A. Smith & Sharon L. R. Kardia & V. Diez Roux & Bhramar Mukherjee - 979-993 A Geometric Approach to Visualization of Variability in Functional Data
by Weiyi Xie & Sebastian Kurtek & Karthik Bharath & Ying Sun - 994-1008 Finding Common Modules in a Time-Varying Network with Application to the Gene Regulation Network
by Jingfei Zhang & Jiguo Cao - 1009-1021 MWPCR: Multiscale Weighted Principal Component Regression for High-Dimensional Prediction
by Hongtu Zhu & Dan Shen & Xuewei Peng & Leo Yufeng Liu - 1022-1031 Constructing Predictive Microbial Signatures at Multiple Taxonomic Levels
by Tao Wang & Hongyu Zhao - 1032-1046 Sparse Simultaneous Signal Detection for Identifying Genetically Controlled Disease Genes
by Sihai Dave Zhao & T. Tony Cai & Thomas P. Cappola & Kenneth B. Margulies & Hongzhe Li - 1047-1063 Multiscale Spatial Density Smoothing: An Application to Large-Scale Radiological Survey and Anomaly Detection
by Wesley Tansey & Alex Athey & Alex Reinhart & James G. Scott - 1064-1075 Empirical Likelihood for Random Sets
by Karun Adusumilli & Taisuke Otsu - 1076-1089 Automatic Optimal Batch Size Selection for Recursive Estimators of Time-Average Covariance Matrix
by Kin Wai Chan & Chun Yip Yau - 1090-1106 Continuous Time Analysis of Fleeting Discrete Price Moves
by Neil Shephard & Justin J. Yang - 1107-1120 Joint Estimation of Quantile Planes Over Arbitrary Predictor Spaces
by Yun Yang & Surya T. Tokdar - 1121-1130 On Modeling and Estimation for the Relative Risk and Risk Difference
by Thomas S. Richardson & James M. Robins & Linbo Wang - 1131-1146 Parsimonious Tensor Response Regression
by Lexin Li & Xin Zhang - 1147-1155 Estimation of Monotone Treatment Effects in Network Experiments
by David Choi - 1156-1168 Generalized Scalar-on-Image Regression Models via Total Variation
by Xiao Wang & Hongtu Zhu - 1169-1181 A Functional Varying-Coefficient Single-Index Model for Functional Response Data
by Jialiang Li & Chao Huang & Zhub Hongtu - 1182-1198 Clustering Huge Number of Financial Time Series: A Panel Data Approach With High-Dimensional Predictors and Factor Structures
by Tomohiro Ando & Jushan Bai - 1199-1210 Generalized Additive Models for Gigadata: Modeling the U.K. Black Smoke Network Daily Data
by Simon N. Wood & Zheyuan Li & Gavin Shaddick & Nicole H. Augustin - 1211-1220 Robust Permutation Tests For Correlation And Regression Coefficients
by Cyrus J. DiCiccio & Joseph P. Romano - 1221-1235 Estimation in the Semiparametric Accelerated Failure Time Model With Missing Covariates: Improving Efficiency Through Augmentation
by Jon Arni Steingrimsson & Robert L. Strawderman - 1236-1249 Tukey -and- Random Fields
by Ganggang Xu & Marc G. Genton - 1250-1260 Semiparametric Inference in a Genetic Mixture Model
by Pengfei Li & Yukun Liu & Jing Qin - 1261-1273 Extrinsic Local Regression on Manifold-Valued Data
by Lizhen Lin & Brian St. Thomas & Hongtu Zhu & David B. Dunson - 1274-1285 Bayesian Calibration of Inexact Computer Models
by Matthew Plumlee - 1286-1295 Estimating Population Size With Link-Tracing Sampling
by Kyle Vincent & Steve Thompson - 1296-1310 An Effective Semiparametric Estimation Approach for the Sufficient Dimension Reduction Model
by Ming-Yueh Huang & Chin-Tsang Chiang - 1311-1322 On Theoretically Optimal Ranking Functions in Bipartite Ranking
by Kazuki Uematsu & Yoonkyung Lee - 1323-1333 Joint Selection in Mixed Models using Regularized PQL
by Francis K. C. Hui & Samuel Müller & A. H. Welsh - 1334-1343 Fixed- Asymptotic Inference About Tail Properties
by Ulrich K. Müller & Yulong Wang - 1344-1353 A Group-Specific Recommender System
by Xuan Bi & Annie Qu & Junhui Wang & Xiaotong Shen - 1354-1369 Two-Level Orthogonal Screening Designs With 24, 28, 32, and 36 Runs
by Eric D. Schoen & Nha Vo-Thanh & Peter Goos - 1370-1379 Book Reviews
by The Editors