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Content
January 2019, Volume 114, Issue 525
- 115-128 FreSpeD: Frequency-Specific Change-Point Detection in Epileptic Seizure Multi-Channel EEG Data
by Anna Louise Schröder & Hernando Ombao - 129-145 Marginal Bayesian Semiparametric Modeling of Mismeasured Multivariate Interval-Censored Data
by Li Li & Alejandro Jara & María José García-Zattera & Timothy E. Hanson - 146-157 Simulation-Based Bias Correction Methods for Complex Models
by Stéphane Guerrier & Elise Dupuis-Lozeron & Yanyuan Ma & Maria-Pia Victoria-Feser - 158-168 Admissibility in Partial Conjunction Testing
by Jingshu Wang & Art B. Owen - 169-183 Changepoint Detection in the Presence of Outliers
by Paul Fearnhead & Guillem Rigaill - 184-197 Bayesian Graphical Regression
by Yang Ni & Francesco C. Stingo & Veerabhadran Baladandayuthapani - 198-210 Matrix Completion With Covariate Information
by Xiaojun Mao & Song Xi Chen & Raymond K. W. Wong - 211-222 Functional Graphical Models
by Xinghao Qiao & Shaojun Guo & Gareth M. James - 223-234 Least Ambiguous Set-Valued Classifiers With Bounded Error Levels
by Mauricio Sadinle & Jing Lei & Larry Wasserman - 235-244 Confidence Sets for Phylogenetic Trees
by Amy Willis - 245-258 Fisher Exact Scanning for Dependency
by Li Ma & Jialiang Mao - 259-270 Weighted NPMLE for the Subdistribution of a Competing Risk
by Anna Bellach & Michael R. Kosorok & Ludger Rüschendorf & Jason P. Fine - 271-286 Robust Variable and Interaction Selection for Logistic Regression and General Index Models
by Yang Li & Jun S. Liu - 287-303 Principal Component Analysis of High-Frequency Data
by Yacine Aït-Sahalia & Dacheng Xiu - 304-317 Decomposing Treatment Effect Variation
by Peng Ding & Avi Feller & Luke Miratrix - 318-331 A Computational Framework for Multivariate Convex Regression and Its Variants
by Rahul Mazumder & Arkopal Choudhury & Garud Iyengar & Bodhisattva Sen - 332-343 Linear Non-Gaussian Component Analysis Via Maximum Likelihood
by Benjamin B. Risk & David S. Matteson & David Ruppert - 344-357 FSEM: Functional Structural Equation Models for Twin Functional Data
by S. Luo & R. Song & M. Styner & J. H. Gilmore & H. Zhu - 358-369 Optimal Estimation of Genetic Relatedness in High-Dimensional Linear Models
by Zijian Guo & Wanjie Wang & T. Tony Cai & Hongzhe Li - 370-383 Censoring Unbiased Regression Trees and Ensembles
by Jon Arni Steingrimsson & Liqun Diao & Robert L. Strawderman - 384-392 Accurate and Efficient P-value Calculation Via Gaussian Approximation: A Novel Monte-Carlo Method
by Yaowu Liu & Jun Xie - 393-405 Information-Based Optimal Subdata Selection for Big Data Linear Regression
by HaiYing Wang & Min Yang & John Stufken - 406-418 Partially Linear Functional Additive Models for Multivariate Functional Data
by Raymond K. W. Wong & Yehua Li & Zhengyuan Zhu - 419-433 Group SLOPE – Adaptive Selection of Groups of Predictors
by Damian Brzyski & Alexej Gossmann & Weijie Su & Małgorzata Bogdan - 434-444 Modeling Spatial Processes with Unknown Extremal Dependence Class
by Raphaël Huser & Jennifer L. Wadsworth - 445-452 Constructing Priors that Penalize the Complexity of Gaussian Random Fields
by Geir-Arne Fuglstad & Daniel Simpson & Finn Lindgren & Håvard Rue - 453-465 Adaptive Bayesian Time–Frequency Analysis of Multivariate Time Series
by Zeda Li & Robert T. Krafty - 466-476 Nonparametric Rotations for Sphere-Sphere Regression
by Marco Di Marzio & Agnese Panzera & Charles C. Taylor - 484-484 Corrigendum
by The Editors - 485-485 Correction
by The Editors - 486-486 Correction
by The Editors - 487-494 Editorial Collaborators
by The Editors
October 2018, Volume 113, Issue 524
- 1395-1410 A Bayesian Variable Selection Approach Yields Improved Detection of Brain Activation From Complex-Valued fMRI
by Cheng-Han Yu & Raquel Prado & Hernando Ombao & Daniel Rowe - 1411-1430 Placebo Response as a Latent Characteristic: Application to Analysis of Sequential Parallel Comparison Design Studies
by Denis Rybin & Robert Lew & Michael J. Pencina & Maurizio Fava & Gheorghe Doros - 1431-1442 Polynomial Accelerated Solutions to a Large Gaussian Model for Imaging Biofilms: In Theory and Finite Precision
by Albert E. Parker & Betsey Pitts & Lindsey Lorenz & Philip S. Stewart - 1443-1456 An Efficient Surrogate Model for Emulation and Physics Extraction of Large Eddy Simulations
by Simon Mak & Chih-Li Sung & Xingjian Wang & Shiang-Ting Yeh & Yu-Hung Chang & V. Roshan Joseph & Vigor Yang & C. F. Jeff Wu - 1457-1475 Tracking the Impact of Media on Voter Choice in Real Time: A Bayesian Dynamic Joint Model
by Bhuvanesh Pareek & Pulak Ghosh & Hugh N. Wilson & Emma K. Macdonald & Paul Baines - 1476-1489 Modeling Random Effects Using Global–Local Shrinkage Priors in Small Area Estimation
by Xueying Tang & Malay Ghosh & Neung Soo Ha & Joseph Sedransk - 1490-1502 Malware Family Discovery Using Reversible Jump MCMC Sampling of Regimes
by Alexander D. Bolton & Nicholas A. Heard - 1503-1514 To Wait or Not to Wait: Two-Way Functional Hazards Model for Understanding Waiting in Call Centers
by Gen Li & Jianhua Z. Huang & Haipeng Shen - 1515-1527 Bayesian Semiparametric Mixed Effects Markov Models With Application to Vocalization Syntax
by Abhra Sarkar & Jonathan Chabout & Joshua Jones Macopson & Erich D. Jarvis & David B. Dunson - 1528-1540 Fast Moment Estimation for Generalized Latent Dirichlet Models
by Shiwen Zhao & Barbara E. Engelhardt & Sayan Mukherjee & David B. Dunson - 1541-1549 Interpretable Dynamic Treatment Regimes
by Yichi Zhang & Eric B. Laber & Marie Davidian & Anastasios A. Tsiatis - 1550-1564 Efficient Estimation of the Nonparametric Mean and Covariance Functions for Longitudinal and Sparse Functional Data
by Ling Zhou & Huazhen Lin & Hua Liang - 1565-1582 Probabilities of Concurrent Extremes
by Clément Dombry & Mathieu Ribatet & Stilian Stoev - 1583-1600 Linear Hypothesis Testing in Dense High-Dimensional Linear Models
by Yinchu Zhu & Jelena Bradic - 1601-1611 Optimal Penalized Function-on-Function Regression Under a Reproducing Kernel Hilbert Space Framework
by Xiaoxiao Sun & Pang Du & Xiao Wang & Ping Ma - 1612-1624 Dynamic Modeling of Conditional Quantile Trajectories, With Application to Longitudinal Snippet Data
by Matthew Dawson & Hans-Georg Müller - 1625-1636 Modeling Tangential Vector Fields on a Sphere
by Minjie Fan & Debashis Paul & Thomas C. M. Lee & Tomoko Matsuo - 1637-1655 A Nonparametric Graphical Model for Functional Data With Application to Brain Networks Based on fMRI
by Bing Li & Eftychia Solea - 1656-1668 Bayesian Estimation and Comparison of Moment Condition Models
by Siddhartha Chib & Minchul Shin & Anna Simoni - 1669-1683 Reconciling Curvature and Importance Sampling Based Procedures for Summarizing Case Influence in Bayesian Models
by Zachary M. Thomas & Steven N. MacEachern & Mario Peruggia - 1684-1697 Particle EM for Variable Selection
by Veronika Ročková - 1698-1709 A Massive Data Framework for M-Estimators with Cubic-Rate
by Chengchun Shi & Wenbin Lu & Rui Song - 1710-1721 Bayesian Approximate Kernel Regression With Variable Selection
by Lorin Crawford & Kris C. Wood & Xiang Zhou & Sayan Mukherjee - 1722-1732 Over-Dispersed Age-Period-Cohort Models
by Jonas Harnau & Bent Nielsen - 1733-1741 A Powerful Bayesian Test for Equality of Means in High Dimensions
by Roger S. Zoh & Abhra Sarkar & Raymond J. Carroll & Bani K. Mallick - 1742-1758 Tractable Bayesian Variable Selection: Beyond Normality
by David Rossell & Francisco J. Rubio - 1759-1769 Sparse Pairwise Likelihood Estimation for Multivariate Longitudinal Mixed Models
by Francis K. C. Hui & Samuel Müller & A. H. Welsh - 1770-1783 Post-Selection Inference Following Aggregate Level Hypothesis Testing in Large-Scale Genomic Data
by Ruth Heller & Nilanjan Chatterjee & Abba Krieger & Jianxin Shi - 1784-1796 Inference Under Covariate-Adaptive Randomization
by Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh - 1797-1812 Sparsity Oriented Importance Learning for High-Dimensional Linear Regression
by Chenglong Ye & Yi Yang & Yuhong Yang - 1813-1827 Diagnostic Checking in Multivariate ARMA Models With Dependent Errors Using Normalized Residual Autocorrelations
by Yacouba Boubacar Maïnassara & Bruno Saussereau - 1828-1845 Mixtures of g-Priors in Generalized Linear Models
by Yingbo Li & Merlise A. Clyde
July 2018, Volume 113, Issue 523
- 955-972 Bayesian Neural Networks for Selection of Drug Sensitive Genes
by Faming Liang & Qizhai Li & Lei Zhou - 973-982 Controlling the FDR in Imperfect Matches to an Incomplete Database
by Uri Keich & William Stafford Noble - 983-991 Optimal Probability Weights for Inference With Constrained Precision
by Michele Santacatterina & Matteo Bottai - 992-1002 Latent Variable Poisson Models for Assessing the Regularity of Circadian Patterns over Time
by Sungduk Kim & Paul S. Albert - 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