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ISSN: 0162-1459
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2015, Volume 110, Issue 511
- 889-901 Semiparametric Bayesian Density Estimation With Disparate Data Sources: A Meta-Analysis of Global Childhood Undernutrition
by Mariel M. Finucane & Christopher J. Paciorek & Gretchen A. Stevens & Majid Ezzati - 901-903 Comment
by Christopher K. Wikle & Scott H. Holan - 903-905 Comment
by Jim Hodges - 906-909 Rejoinder
by Mariel M. Finucane & Christopher J. Paciorek & Gretchen A. Stevens & Majid Ezzati - 910-922 Stable Weights that Balance Covariates for Estimation With Incomplete Outcome Data
by José R. Zubizarreta - 923-934 An Integrated Bayesian Nonparametric Approach for Stochastic and Variability Orders in ROC Curve Estimation: An Application to Endometriosis Diagnosis
by Beom Seuk Hwang & Zhen Chen - 935-945 The Role of CPS Nonresponse in the Measurement of Poverty
by Charles Hokayem & Christopher Bollinger & James P. Ziliak - 946-961 Clustering High-Dimensional Landmark-Based Two-Dimensional Shape Data
by Chao Huang & Martin Styner & Hongtu Zhu - 962-974 Proper Use of Allele-Specific Expression Improves Statistical Power for cis -eQTL Mapping with RNA-Seq Data
by Yi-Juan Hu & Wei Sun & Jung-Ying Tzeng & Charles M. Perou - 975-986 IsoDOT Detects Differential RNA-Isoform Expression/Usage With Respect to a Categorical or Continuous Covariate With High Sensitivity and Specificity
by Wei Sun & Yufeng Liu & James J. Crowley & Ting-Huei Chen & Hua Zhou & Haitao Chu & Shunping Huang & Pei-Fen Kuan & Yuan Li & Darla Miller & Ginger Shaw & Yichao Wu & Vasyl Zhabotynsky & Leonard McMillan & Fei Zou & Patrick F. Sullivan & Fernando Pardo-Manuel De Villena - 987-999 Simultaneous Edit-Imputation for Continuous Microdata
by Hang J. Kim & Lawrence H. Cox & Alan F. Karr & Jerome P. Reiter & Quanli Wang - 1000-1012 Smoothed Lexis Diagrams With Applications to Lung and Breast Cancer Trends in Taiwan
by Li-Chu Chien & Yuh-Jenn Wu & Chao A. Hsiung & Lu-Hai Wang & I-Shou Chang - 1013-1023 Robust Estimation of Inverse Probability Weights for Marginal Structural Models
by Kosuke Imai & Marc Ratkovic - 1024-1036 Bias-Reduced Doubly Robust Estimation
by Karel Vermeulen & Stijn Vansteelandt - 1037-1046 Testing for Nodal Dependence in Relational Data Matrices
by Alexander Volfovsky & Peter D. Hoff - 1047-1056 Testing and Modeling Dependencies Between a Network and Nodal Attributes
by Bailey K. Fosdick & Peter D. Hoff - 1057-1071 Blood Flow Velocity Field Estimation Via Spatial Regression With PDE Penalization
by Laura Azzimonti & Laura M. Sangalli & Piercesare Secchi & Maurizio Domanin & Fabio Nobile - 1072-1082 An Objective Approach to Prior Mass Functions for Discrete Parameter Spaces
by C. Villa & S. G. Walker - 1083-1099 Whittle Likelihood Estimation of Nonlinear Autoregressive Models With Moving Average Residuals
by Tianhao Wang & Yingcun Xia - 1100-1111 S -Estimators for Functional Principal Component Analysis
by Graciela Boente & MatÃas Salibian-Barrera - 1112-1124 Convergence Properties of a Sequential Regression Multiple Imputation Algorithm
by Jian Zhu & Trivellore E. Raghunathan - 1125-1135 Likelihood Inferences on Semiparametric Odds Ratio Model
by Hua Yun Chen & Daniel E. Rader & Mingyao Li - 1136-1147 The E-MS Algorithm: Model Selection With Incomplete Data
by Jiming Jiang & Thuan Nguyen & J. Sunil Rao - 1148-1159 Regression Analysis of Additive Hazards Model With Latent Variables
by Deng Pan & Haijin He & Xinyuan Song & Liuquan Sun - 1160-1174 Bandwidth Selection for High-Dimensional Covariance Matrix Estimation
by Yumou Qiu & Song Xi Chen - 1175-1186 Estimation of Multiple-Regime Threshold Autoregressive Models With Structural Breaks
by Chun Yip Yau & Chong Man Tang & Thomas C. M. Lee - 1187-1196 Analysis of the Proportional Hazards Model With Sparse Longitudinal Covariates
by Hongyuan Cao & Mathew M. Churpek & Donglin Zeng & Jason P. Fine - 1197-1216 Detection of Changes in Multivariate Time Series With Application to EEG Data
by Claudia Kirch & Birte Muhsal & Hernando Ombao - 1217-1228 The Empirical Distribution of a Large Number of Correlated Normal Variables
by David Azriel & Armin Schwartzman - 1229-1238 Likelihood Estimation for the INAR( p ) Model by Saddlepoint Approximation
by Xanthi Pedeli & Anthony C. Davison & Konstantinos Fokianos - 1239-1247 Tracking Cross-Validated Estimates of Prediction Error as Studies Accumulate
by Lo-Bin Chang & Donald Geman - 1248-1265 An Equivalent Measure of Partial Correlation Coefficients for High-Dimensional Gaussian Graphical Models
by Faming Liang & Qifan Song & Peihua Qiu - 1266-1275 Localized Functional Principal Component Analysis
by Kehui Chen & Jing Lei - 1276-1283 A Regression Framework for Rank Tests Based on the Probabilistic Index Model
by Jan De Neve & Olivier Thas - 1284-1303 Model Estimation, Prediction, and Signal Extraction for Nonstationary Stock and Flow Time Series Observed at Mixed Frequencies
by Tucker McElroy & Brian Monsell - 1304-1319 Design and Analysis of the Randomized Response Technique
by Graeme Blair & Kosuke Imai & Yang-Yang Zhou
2015, Volume 110, Issue 510
- 459-471 False Discovery Rate Regression: An Application to Neural Synchrony Detection in Primary Visual Cortex
by James G. Scott & Ryan C. Kelly & Matthew A. Smith & Pengcheng Zhou & Robert E. Kass - 472-485 Analysis of Longitudinal Multivariate Outcome Data From Couples Cohort Studies: Application to HPV Transmission Dynamics
by Xiangrong Kong & Mei-Cheng Wang & Ronald Gray - 486-502 Survival Analysis of Loblolly Pine Trees With Spatially Correlated Random Effects
by Jie Li & Yili Hong & Ram Thapa & Harold E. Burkhart - 503-514 MAD Bayes for Tumor Heterogeneity--Feature Allocation With Exponential Family Sampling
by Yanxun Xu & Peter Müller & Yuan Yuan & Kamalakar Gulukota & Yuan Ji - 515-527 Large, Sparse Optimal Matching With Refined Covariate Balance in an Observational Study of the Health Outcomes Produced by New Surgeons
by Samuel D. Pimentel & Rachel R. Kelz & Jeffrey H. Silber & Paul R. Rosenbaum - 528-544 Bayesian Inference for Multivariate Meta-Regression With a Partially Observed Within-Study Sample Covariance Matrix
by Hui Yao & Sungduk Kim & Ming-Hui Chen & Joseph G. Ibrahim & Arvind K. Shah & Jianxin Lin - 545-559 Unifying Amplitude and Phase Analysis: A Compositional Data Approach to Functional Multivariate Mixed-Effects Modeling of Mandarin Chinese
by P. Z. Hadjipantelis & J. A. D. Aston & H. G. Müller & J. P. Evans - 560-572 Analysis of Sequence Data Under Multivariate Trait-Dependent Sampling
by Ran Tao & Donglin Zeng & Nora Franceschini & Kari E. North & Eric Boerwinkle & Dan-Yu Lin - 573-582 Joint Bayesian Modeling of Binomial and Rank Data for Primate Cognition
by Bradley J. Barney & Federica Amici & Filippo Aureli & Josep Call & Valen E. Johnson - 583-598 New Statistical Learning Methods for Estimating Optimal Dynamic Treatment Regimes
by Ying-Qi Zhao & Donglin Zeng & Eric B. Laber & Michael R. Kosorok - 599-611 Foundations for Envelope Models and Methods
by R. Dennis Cook & Xin Zhang - 612-620 Post-Fisherian Experimentation: From Physical to Virtual
by C. F. Jeff Wu - 621-629 Semiparametric Accelerated Failure Time Modeling for Clustered Failure Times From Stratified Sampling
by Sy Han Chiou & Sangwook Kang & Jun Yan - 630-641 Model-Free Feature Screening for Ultrahigh Dimensional Discriminant Analysis
by Hengjian Cui & Runze Li & Wei Zhong - 642-653 Nonparametric K -Sample Tests via Dynamic Slicing
by Bo Jiang & Chao Ye & Jun S. Liu - 654-668 Detection of Multiple Structural Breaks in Multivariate Time Series
by Philip Preuss & Ruprecht Puchstein & Holger Dette - 669-680 Testing Hypotheses of Covariate-Adaptive Randomized Clinical Trials
by Wei Ma & Feifang Hu & Lixin Zhang - 681-696 Functional and Structural Methods With Mixed Measurement Error and Misclassification in Covariates
by Grace Y. Yi & Yanyuan Ma & Donna Spiegelman & Raymond J. Carroll - 697-710 Objective Bayesian Survival Analysis Using Shape Mixtures of Log-Normal Distributions
by Catalina A. Vallejos & Mark F. J. Steel - 711-722 Bayesian Dose-Finding in Two Treatment Cycles Based on the Joint Utility of Efficacy and Toxicity
by Juhee Lee & Peter F. Thall & Yuan Ji & Peter Müller - 723-741 Efficient Quantile Regression Analysis With Missing Observations
by Xuerong Chen & Alan T. K. Wan & Yong Zhou - 742-759 Matching a Distribution by Matching Quantiles Estimation
by Nikolaos Sgouropoulos & Qiwei Yao & Claudia Yastremiz - 760-772 Generalized Fiducial Inference for Ultrahigh-Dimensional Regression
by Randy C. S. Lai & Jan Hannig & Thomas C. M. Lee - 773-783 An Improved Transformation-Based Kernel Estimator of Densities on the Unit Interval
by Kuangyu Wen & Ximing Wu - 784-794 LADE-Based Inference for ARMA Models With Unspecified and Heavy-Tailed Heteroscedastic Noises
by Ke Zhu & Shiqing Ling - 795-809 Scalable Bayesian Model Averaging Through Local Information Propagation
by Li Ma - 810-823 Clustering from Categorical Data Sequences
by Harry Crane - 824-836 Index Models for Sparsely Sampled Functional Data
by Peter Radchenko & Xinghao Qiao & Gareth M. James - 837-849 A Two-Sample Test for Equality of Means in High Dimension
by Karl Bruce Gregory & Raymond J. Carroll & Veerabhadran Baladandayuthapani & Soumendra N. Lahiri - 850-866 Statistical Analysis of Q -Matrix Based Diagnostic Classification Models
by Yunxiao Chen & Jingchen Liu & Gongjun Xu & Zhiliang Ying - 867-877 Likelihood Ratio Test for Multi-Sample Mixture Model and Its Application to Genetic Imprinting
by Shaoting Li & Jiahua Chen & Jianhua Guo & Bing-Yi Jing & Shui-Ying Tsang & Hong Xue
2015, Volume 110, Issue 509
- 1-5 Why Your Involvement Matters
by Nathaniel Schenker - 6-15 A Spatio-Temporal Point Process Model for Ambulance Demand
by Zhengyi Zhou & David S. Matteson & Dawn B. Woodard & Shane G. Henderson & Athanasios C. Micheas - 16-26 Risk-Adjusted Cumulative Sum Charting Procedure Based on Multiresponses
by Xu Tang & Fah F. Gan & Lingyun Zhang - 27-44 Estimating a Structured Covariance Matrix From Multilab Measurements in High-Throughput Biology
by Alexander M. Franks & Gábor Csárdi & D. Allan Drummond & Edoardo M. Airoldi - 45-55 A Flexible Bayesian Approach to Monotone Missing Data in Longitudinal Studies With Nonignorable Missingness With Application to an Acute Schizophrenia Clinical Trial
by Antonio R. Linero & Michael J. Daniels - 56-67 Power Curve Estimation With Multivariate Environmental Factors for Inland and Offshore Wind Farms
by Giwhyun Lee & Yu Ding & Marc G. Genton & Le Xie - 68-82 Calibration of Computational Models With Categorical Parameters and Correlated Outputs via Bayesian Smoothing Spline ANOVA
by Curtis B. Storlie & William A. Lane & Emily M. Ryan & James R. Gattiker & David M. Higdon - 83-92 What Happens Depends on When It Happens: Copula-Based Ordered Event History Analysis of Civil War Duration and Outcome
by Kentaro Fukumoto - 93-106 A Dynamic Directional Model for Effective Brain Connectivity Using Electrocorticographic (ECoG) Time Series
by Tingting Zhang & Jingwei Wu & Fan Li & Brian Caffo & Dana Boatman-Reich - 107-122 Simulating and Analyzing Order Book Data: The Queue-Reactive Model
by Weibing Huang & Charles-Albert Lehalle & Mathieu Rosenbaum - 123-135 An Analysis of an Incomplete Marked Point Pattern of Heat-Related 911 Calls
by Matthew J. Heaton & Stephan R. Sain & Andrew J. Monaghan & Olga V. Wilhelmi & Mary H. Hayden - 136-148 Robust Principal Component Analysis for Power Transformed Compositional Data
by J. L. Scealy & Patrice de Caritat & Eric C. Grunsky & Michail T. Tsagris & A. H. Welsh - 149-158 Multi-Agent Inference in Social Networks: A Finite Population Learning Approach
by Jianqing Fan & Xin Tong & Yao Zeng - 159-174 Bayesian Inference of Multiple Gaussian Graphical Models
by Christine Peterson & Francesco C. Stingo & Marina Vannucci - 175-194 Homogeneity Pursuit
by Zheng Tracy Ke & Jianqing Fan & Yichao Wu - 195-204 A Unifying Model for Capture-Recapture and Distance Sampling Surveys of Wildlife Populations
by D. L. Borchers & B. C. Stevenson & D. Kidney & L. Thomas & T. A. Marques - 205-217 Bahadur Efficiency of Sensitivity Analyses in Observational Studies
by Paul R. Rosenbaum - 218-232 R -Estimation for Asymmetric Independent Component Analysis
by Marc Hallin & Chintan Mehta - 233-245 Model-Robust Designs for Quantile Regression
by Linglong Kong & Douglas P. Wiens - 246-261 Quantile Correlations and Quantile Autoregressive Modeling
by Guodong Li & Yang Li & Chih-Ling Tsai - 262-269 Tuning Parameter Selection for the Adaptive Lasso Using ERIC
by Francis K. C. Hui & David I. Warton & Scott D. Foster - 270-288 Regularization Methods for High-Dimensional Instrumental Variables Regression With an Application to Genetical Genomics
by Wei Lin & Rui Feng & Hongzhe Li - 289-302 SPReM: Sparse Projection Regression Model For High-Dimensional Linear Regression
by Qiang Sun & Hongtu Zhu & Yufeng Liu & Joseph G. Ibrahim - 303-312 Inference for Subgroup Analysis With a Structured Logistic-Normal Mixture Model
by Juan Shen & Xuming He - 313-325 Semiparametric Relative-Risk Regression for Infectious Disease Transmission Data
by Eben Kenah - 326-340 Multivariate Meta-Analysis of Heterogeneous Studies Using Only Summary Statistics: Efficiency and Robustness
by Dungang Liu & Regina Y. Liu & Minge Xie - 341-356 Varying Index Coefficient Models
by Shujie Ma & Peter X.-K. Song - 357-367 A Unified Family of Covariate-Adjusted Response-Adaptive Designs Based on Efficiency and Ethics
by Jianhua Hu & Hongjian Zhu & Feifang Hu - 368-379 Size and Shape Analysis of Error-Prone Shape Data
by Jiejun Du & Ian L. Dryden & Xianzheng Huang - 378-392 On the Prediction of Stationary Functional Time Series
by Alexander Aue & Diogo Dubart Norinho & Siegfried Hörmann - 393-404 Risk Classification With an Adaptive Naive Bayes Kernel Machine Model
by Jessica Minnier & Ming Yuan & Jun S. Liu & Tianxi Cai - 405-419 Bayesian Generalized Additive Models for Location, Scale, and Shape for Zero-Inflated and Overdispersed Count Data
by Nadja Klein & Thomas Kneib & Stefan Lang - 420-434 Sufficient Reductions in Regressions With Elliptically Contoured Inverse Predictors
by Efstathia Bura & Liliana Forzani - 435-448 Decoupling Shrinkage and Selection in Bayesian Linear Models: A Posterior Summary Perspective
by P. Richard Hahn & Carlos M. Carvalho - 457-457 Letter To the Editor
by Stephen E. Fienberg & James S. Hodges & Liying Luo - 458-458 Reply
by Wenjiang J. Fu - 457-457 Reply
by Y. Claire Yang & Kenneth C. Land
2014, Volume 109, Issue 508
- 1339-1349 Sparse Semiparametric Nonlinear Model With Application to Chromatographic Fingerprints
by Michael R. Wierzbicki & Li-Bing Guo & Qing-Tao Du & Wensheng Guo - 1349-1350 Comment
by Pang Du - 1350-1353 Comment
by Huaihou Chen & Donglin Zeng - 1353-1354 Rejoinder
by Michael R. Wierzbicki & Li-Bing Guo & Qing-Tao Du & Wensheng Guo - 1355-1367 Biomarker Detection in Association Studies: Modeling SNPs Simultaneously via Logistic ANOVA
by Yoonsuh Jung & Jianhua Z. Huang & Jianhua Hu - 1368-1384 Bayesian Modeling and Forecasting of 24-Hour High-Frequency Volatility
by Jonathan R. Stroud & Michael S. Johannes - 1385-1397 Combining Dynamic Predictions From Joint Models for Longitudinal and Time-to-Event Data Using Bayesian Model Averaging
by Dimitris Rizopoulos & Laura A. Hatfield & Bradley P. Carlin & Johanna J. M. Takkenberg - 1398-1411 Bayesian Emulation and Calibration of a Dynamic Epidemic Model for A/H1N1 Influenza
by Marian Farah & Paul Birrell & Stefano Conti & Daniela De Angelis - 1412-1424 Joint Modeling and Clustering Paired Generalized Longitudinal Trajectories With Application to Cocaine Abuse Treatment Data
by Hui Huang & Yehua Li & Yongtao Guan - 1425-1439 Variable-Domain Functional Regression for Modeling ICU Data
by Jonathan E. Gellar & Elizabeth Colantuoni & Dale M. Needham & Ciprian M. Crainiceanu - 1440-1449 Quantifying Causal Effects of Road Network Capacity Expansions on Traffic Volume and Density via a Mixed Model Propensity Score Estimator
by Daniel J. Graham & Emma J. McCoy & David A. Stephens - 1450-1465 Exact Meta-Analysis Approach for Discrete Data and its Application to 2 × 2 Tables With Rare Events
by Dungang Liu & Regina Y. Liu & Min-ge Xie - 1466-1480 Generalized Species Sampling Priors With Latent Beta Reinforcements
by Edoardo M. Airoldi & Thiago Costa & Federico Bassetti & Fabrizio Leisen & Michele Guindani - 1481-1494 Bayesian Multiscale Modeling of Closed Curves in Point Clouds
by Kelvin Gu & Debdeep Pati & David B. Dunson - 1495-1516 Monte Carlo Simulation for Lasso-Type Problems by Estimator Augmentation
by Qing Zhou - 1517-1532 A Simple Method for Estimating Interactions Between a Treatment and a Large Number of Covariates
by Lu Tian & Ash A. Alizadeh & Andrew J. Gentles & Robert Tibshirani - 1533-1545 A Likelihood-Based Framework for Association Analysis of Allele-Specific Copy Numbers
by Y. J. Hu & D. Y. Lin & W. Sun & D. Zeng - 1546-1564 Nonparametric Estimation of Probability Density Functions for Irregularly Observed Spatial Data
by Zudi Lu & Dag Tjøstheim - 1565-1580 Modeling Space and Space-Time Directional Data Using Projected Gaussian Processes
by Fangpo Wang & Alan E. Gelfand - 1581-1591 Fast Prediction of Deterministic Functions Using Sparse Grid Experimental Designs
by Matthew Plumlee - 1592-1600 Optimal Supersaturated Designs
by Bradley Jones & Dibyen Majumdar - 1601-1614 Inference for Misspecified Models With Fixed Regressors
by Alberto Abadie & Guido W. Imbens & Fanyin Zheng - 1615-1624 Spherical Regression Models Using Projective Linear Transformations
by Michael Rosenthal & Wei Wu & Eric Klassen & Anuj Srivastava - 1625-1635 Score Estimating Equations from Embedded Likelihood Functions Under Accelerated Failure Time Model
by Jing Ning & Jing Qin & Yu Shen - 1636-1646 Proportional Hazards Model With Covariate Measurement Error and Instrumental Variables
by Xiao Song & Ching-Yun Wang - 1647-1659 Dimension-Reduced Modeling of Spatio-Temporal Processes
by Jenný Brynjarsdóttir & L. Mark Berliner - 1660-1671 Meta-Analysis With Fixed, Unknown, Study-Specific Parameters
by Brian Claggett & Minge Xie & Lu Tian - 1672-1682 Generalized Ordinary Differential Equation Models
by Hongyu Miao & Hulin Wu & Hongqi Xue - 1683-1696 Structural Pursuit Over Multiple Undirected Graphs
by Yunzhang Zhu & Xiaotong Shen & Wei Pan - 1697-1711 Treatment Evaluation With Multiple Outcome Periods Under Endogeneity and Attrition
by Markus Frölich & Martin Huber
2014, Volume 109, Issue 507
- 873-888 A Bayesian Nonparametric Modeling Framework for Developmental Toxicity Studies
by Kassandra Fronczyk & Athanasios Kottas - 889-889 Comment
by Peter Müller & Fernando Quintana - 890-891 Comment
by David B. Dunson - 891-893 Rejoinder
by Kassandra Fronczyk & Athanasios Kottas - 894-904 Mechanistic Hierarchical Gaussian Processes
by Matthew W. Wheeler & David B. Dunson & Sudha P. Pandalai & Brent A. Baker & Amy H. Herring - 905-930 Identifying Genetic Variants for Addiction via Propensity Score Adjusted Generalized Kendall's Tau
by Yuan Jiang & Ni Li & Heping Zhang - 931-943 Optimizing Sedative Dose in Preterm Infants Undergoing Treatment for Respiratory Distress Syndrome
by Peter F. Thall & Hoang Q. Nguyen & Sarah Zohar & Pierre Maton - 944-954 Estimating Ocean Circulation: An MCMC Approach With Approximated Likelihoods via the Bernoulli Factory
by Radu Herbei & L. Mark Berliner - 955-966 Multivariate Analysis of Longitudinal Ordinal Data With Mixed Effects Models, With Application to Clinical Outcomes in Osteoarthritis
by Celine Marielle Laffont & Marc Vandemeulebroecke & Didier Concordet - 967-976 Causal Inference for fMRI Time Series Data With Systematic Errors of Measurement in a Balanced On/Off Study of Social Evaluative Threat
by Michael E. Sobel & Martin A. Lindquist - 977-990 Bayesian Generalized Low Rank Regression Models for Neuroimaging Phenotypes and Genetic Markers
by Hongtu Zhu & Zakaria Khondker & Zhaohua Lu & Joseph G. Ibrahim - 991-1007 Estimation and Accuracy After Model Selection
by Bradley Efron - 1007-1010 Comment
by Lan Wang & Ben Sherwood & Runze Li - 1010-1013 Comment
by Dimitris N. Politis - 1013-1015 Comment
by Shuva Gupta & S. N. Lahiri - 1015-1016 Comment
by Andrew Gelman & Aki Vehtari - 1017-1020 Comment
by Nils Lid Hjort - 1021-1022 Rejoinder
by Bradley Efron - 1023-1039 Bayesian Aggregation of Order-Based Rank Data
by Ke Deng & Simeng Han & Kate J. Li & Jun S. Liu - 1040-1053 Inference From Intrinsic Bayes' Procedures Under Model Selection and Uncertainty
by Andrew J. Womack & Luis León-Novelo & George Casella - 1054-1070 Adaptive Confidence Bands for Nonparametric Regression Functions
by T. Tony Cai & Mark Low & Zongming Ma - 1071-1083 Efficient R-Estimation of Principal and Common Principal Components
by Marc Hallin & Davy Paindaveine & Thomas Verdebout - 1084-1098 Spatially Varying Coefficient Model for Neuroimaging Data With Jump Discontinuities
by Hongtu Zhu & Jianqing Fan & Linglong Kong - 1099-1111 Testing Second-Order Dynamics for Autoregressive Processes in Presence of Time-Varying Variance
by Valentin Patilea & Hamdi Raïssi - 1112-1122 Filtering With Heavy Tails
by Andrew Harvey & Alessandra Luati - 1123-1133 Generalized Gaussian Process Regression Model for Non-Gaussian Functional Data
by Bo Wang & Jian Qing Shi - 1134-1144 Space-Filling Fractional Factorial Designs
by Yong-Dao Zhou & Hongquan Xu - 1145-1158 Weighted M -statistics With Superior Design Sensitivity in Matched Observational Studies With Multiple Controls
by Paul R. Rosenbaum - 1159-1173 Multiply Robust Estimation in Regression Analysis With Missing Data
by Peisong Han - 1174-1187 Targeted Local Support Vector Machine for Age-Dependent Classification
by Tianle Chen & Yuanjia Wang & Huaihou Chen & Karen Marder & Donglin Zeng - 1188-1204 On an Additive Semigraphoid Model for Statistical Networks With Application to Pathway Analysis
by Bing Li & Hyonho Chun & Hongyu Zhao - 1205-1215 Functional Principal Component Analysis of Spatiotemporal Point Processes With Applications in Disease Surveillance
by Yehua Li & Yongtao Guan - 1216-1228 Optimal Tests of Treatment Effects for the Overall Population and Two Subpopulations in Randomized Trials, Using Sparse Linear Programming
by Michael Rosenblum & Han Liu & En-Hsu Yen - 1229-1240 Sequential Lasso Cum EBIC for Feature Selection With Ultra-High Dimensional Feature Space
by Shan Luo & Zehua Chen - 1241-1256 Segmented Model Selection in Quantile Regression Using the Minimum Description Length Principle
by Alexander Aue & Rex C. Y. Cheung & Thomas C. M. Lee & Ming Zhong - 1257-1269 The Sparse MLE for Ultrahigh-Dimensional Feature Screening
by Chen Xu & Jiahua Chen - 1270-1284 Nonparametric Independence Screening in Sparse Ultra-High-Dimensional Varying Coefficient Models
by Jianqing Fan & Yunbei Ma & Wei Dai - 1285-1301 Interaction Screening for Ultrahigh-Dimensional Data
by Ning Hao & Hao Helen Zhang - 1302-1318 Martingale Difference Correlation and Its Use in High-Dimensional Variable Screening
by Xiaofeng Shao & Jingsi Zhang - 1319-1324 Some Comments on Copula-Based Regression
by Holger Dette & Ria Van Hecke & Stanislav Volgushev
2014, Volume 109, Issue 506
- 455-464 Flexible Marginal Structural Models for Estimating the Cumulative Effect of a Time-Dependent Treatment on the Hazard: Reassessing the Cardiovascular Risks of Didanosine Treatment in the Swiss HIV Cohort Study
by Yongling Xiao & Michal Abrahamowicz & Erica E. M. Moodie & Rainer Weber & James Young - 465-476 To Fuel or Not to Fuel? Is that the Question?
by Eduardo S. Ayra & David RÃos Insua & Javier Cano - 477-490 A Bayesian Nonparametric Regression Model With Normalized Weights: A Study of Hippocampal Atrophy in Alzheimer's Disease
by Isadora Antoniano-Villalobos & Sara Wade & Stephen G. Walker - 491-499 Automated Tsunami Source Modeling Using the Sweeping Window Positive Elastic Net
by Daniel M. Percival & Donald B. Percival & Donald W. Denbo & Edison Gica & Paul Y. Huang & Harold O. Mofjeld & Michael C. Spillane - 500-513 Bayesian Forecasting of Cohort Fertility
by Carl Schmertmann & Emilio Zagheni & Joshua R. Goldstein & Mikko Myrskylä - 514-524 Estimating Risk With Time-to-Event Data: An Application to the Women's Health Initiative
by Dandan Liu & Yingye Zheng & Ross L. Prentice & Li Hsu - 525-536 Using Data Augmentation to Facilitate Conduct of Phase I-II Clinical Trials With Delayed Outcomes
by Ick Hoon Jin & Suyu Liu & Peter F. Thall & Ying Yuan - 537-547 A Bivariate Model for Simultaneous Testing in Bioinformatics Data
by Haim Y. Bar & James G. Booth & Martin T. Wells - 548-559 Object-Oriented Data Analysis of Cell Images
by Xiaosun Lu & J. S. Marron & Perry Haaland - 560-573 Source-Sink Reconstruction Through Regularized Multicomponent Regression Analysis-With Application to Assessing Whether North Sea Cod Larvae Contributed to Local Fjord Cod in Skagerrak
by Kun Chen & Kung-Sik Chan & Nils Chr. Stenseth - 574-589 Variable Selection in Nonparametric Classification Via Measurement Error Model Selection Likelihoods
by L. A. Stefanski & Yichao Wu & Kyle White - 590-599 Group LASSO for Structural Break Time Series
by Ngai Hang Chan & Chun Yip Yau & Rong-Mao Zhang - 600-612 Testing Independence Among a Large Number of High-Dimensional Random Vectors
by Guangming Pan & Jiti Gao & Yanrong Yang - 613-623 Adaptive Multivariate Global Testing
by Giorgos Minas & John A.D. Aston & Nigel Stallard - 624-634 Adaptive Global Testing for Functional Linear Models
by Jing Lei - 635-646 Local Empirical Likelihood Inference for Varying-Coefficient Density-Ratio Models Based on Case-Control Data
by Xu Liu & Hongmei Jiang & Yong Zhou - 647-660 Enriched Stick-Breaking Processes for Functional Data
by Bruno Scarpa & David B. Dunson - 661-673 A Smooth Simultaneous Confidence Corridor for the Mean of Sparse Functional Data
by Shuzhuan Zheng & Lijian Yang & Wolfgang K. Härdle - 674-685 Convex Optimization, Shape Constraints, Compound Decisions, and Empirical Bayes Rules
by Roger Koenker & Ivan Mizera - 686-699 A Generic Path Algorithm for Regularized Statistical Estimation
by Hua Zhou & Yichao Wu - 700-716 Sparse Additive Ordinary Differential Equations for Dynamic Gene Regulatory Network Modeling
by Hulin Wu & Tao Lu & Hongqi Xue & Hua Liang - 717-729 Parametrically Assisted Nonparametric Estimation of a Density in the Deconvolution Problem
by Aurore Delaigle & Peter Hall - 730-747 Estimation for General Birth-Death Processes
by Forrest W. Crawford & Vladimir N. Minin & Marc A. Suchard - 748-763 Nonparametric Regression for Spherical Data
by Marco Di Marzio & Agnese Panzera & Charles C. Taylor - 764-776 Spectral Density Ratio Models for Multivariate Extremes
by Miguel de Carvalho & Anthony C. Davison - 777-787 Self-Excited Threshold Poisson Autoregression
by Chao Wang & Heng Liu & Jian-Feng Yao & Richard A. Davis & Wai Keung Li