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Content
July 2016, Volume 111, Issue 515
- 948-950 Rejoinder
by Yanxun Xu & Peter Müller & Abdus S. Wahed & Peter Thall - 951-966 Analyzing Single-Molecule Protein Transportation Experiments via Hierarchical Hidden Markov Models
by Yang Chen & Kuang Shen & Shu-Ou Shan & S. C. Kou - 967-987 Template-Based Models for Genome-Wide Analysis of Next-Generation Sequencing Data at Base-Pair Resolution
by Alexander W. Blocker & Edoardo M. Airoldi - 988-1003 A Model of Text for Experimentation in the Social Sciences
by Margaret E. Roberts & Brandon M. Stewart & Edoardo M. Airoldi - 1004-1019 Estimation of Directed Acyclic Graphs Through Two-Stage Adaptive Lasso for Gene Network Inference
by Sung Won Han & Gong Chen & Myun-Seok Cheon & Hua Zhong - 1020-1035 Detecting and Localizing Differences in Functional Time Series Dynamics: A Case Study in Molecular Biophysics
by Shahin Tavakoli & Victor M. Panaretos - 1036-1049 Probabilistic Cause-of-Death Assignment Using Verbal Autopsies
by Tyler H. McCormick & Zehang Richard Li & Clara Calvert & Amelia C. Crampin & Kathleen Kahn & Samuel J. Clark - 1050-1060 Parameterization of White Matter Manifold-Like Structures Using Principal Surfaces
by Chen Yue & Vadim Zipunnikov & Pierre-Louis Bazin & Dzung Pham & Daniel Reich & Ciprian Crainiceanu & Brian Caffo - 1061-1074 A Longitudinal Mixed Logit Model for Estimation of Push and Pull Effects in Residential Location Choice
by Fiona Steele & Elizabeth Washbrook & Christopher Charlton & William J. Browne - 1075-1095 Hierarchical Models for Semicompeting Risks Data With Application to Quality of End-of-Life Care for Pancreatic Cancer
by Kyu Ha Lee & Francesca Dominici & Deborah Schrag & Sebastien Haneuse - 1096-1120 Model-Based Geostatistics for Prevalence Mapping in Low-Resource Settings
by Peter J. Diggle & Emanuele Giorgi - 1108-1110 Comment
by Leonhard Held & Stefanie Muff - 1110-1111 Comment
by Paula Moraga - 1111-1118 Comment: Getting into Space with a Weight Problem
by Jon Wakefield & Daniel Simpson & Jessica Godwin - 1119-1120 Rejoinder
by Peter J. Diggle & Emanuele Giorgi - 1121-1131 Generalized Dynamic Principal Components
by Daniel Peña & Victor J. Yohai - 1132-1143 Fast Estimation of Regression Parameters in a Broken-Stick Model for Longitudinal Data
by Ritabrata Das & Moulinath Banerjee & Bin Nan & Huiyong Zheng - 1144-1156 Priors for Random Count Matrices Derived from a Family of Negative Binomial Processes
by Mingyuan Zhou & Oscar Hernan Madrid Padilla & James G. Scott - 1157-1167 Constructed Second Control Groups and Attenuation of Unmeasured Biases
by Samuel D. Pimentel & Dylan S. Small & Paul R. Rosenbaum - 1168-1181 Bayesian Nonparametric Longitudinal Data Analysis
by Fernando A. Quintana & Wesley O. Johnson & L. Elaine Waetjen & Ellen B. Gold - 1182-1195 Brownian Integrated Covariance Functions for Gaussian Process Modeling: Sigmoidal Versus Localized Basis Functions
by Ning Zhang & Daniel W. Apley - 1196-1207 Dynamic Covariance Models
by Ziqi Chen & Chenlei Leng - 1209-1221 Forward Variable Selection for Sparse Ultra-High Dimensional Varying Coefficient Models
by Ming-Yen Cheng & Toshio Honda & Jin-Ting Zhang - 1222-1232 A Subsampled Double Bootstrap for Massive Data
by Srijan Sengupta & Stanislav Volgushev & Xiaofeng Shao - 1233-1241 Coverage Inducing Priors in Nonstandard Inference Problems
by Ulrich K. Müller & Andriy Norets - 1242-1253 Classification With Unstructured Predictors and an Application to Sentiment Analysis
by Junhui Wang & Xiaotong Shen & Yiwen Sun & Annie Qu - 1254-1265 Stabilized Nearest Neighbor Classifier and its Statistical Properties
by Will Wei Sun & Xingye Qiao & Guang Cheng - 1266-1277 Conditional Sure Independence Screening
by Emre Barut & Jianqing Fan & Anneleen Verhasselt - 1278-1288 Graphical Procedures for Multiple Comparisons Under General Dependence
by Christopher J. Bennett & Brennan S. Thompson - 1289-1300 Joint Inference for Competing Risks Survival Data
by Gang Li & Qing Yang - 1301-1312 Analysis of Proportional Odds Models With Censoring and Errors-in-Covariates
by Samiran Sinha & Yanyuan Ma - 1313-1329 Sufficient Reductions in Regressions With Exponential Family Inverse Predictors
by Efstathia Bura & Sabrina Duarte & Liliana Forzani - 1330-1345 How Much Information Does Dependence Between Wavelet Coefficients Contain?
by Carsten Jentsch & Claudia Kirch - 1346-1361 Generalized Fiducial Inference: A Review and New Results
by Jan Hannig & Hari Iyer & Randy C. S. Lai & Thomas C. M. Lee - 1362-1369 Book Reviews
by The Editors - 1370-1371 Correction to Jin-Ting Zhang’s “Approximate and Asymptotic Distributions of Chi-Squared-Type Mixtures With Applications’’
by Wouter Duivesteijn
April 2016, Volume 111, Issue 514
- 447-458 Discrete Optimization for Interpretable Study Populations and Randomization Inference in an Observational Study of Severe Sepsis Mortality
by Colin B. Fogarty & Mark E. Mikkelsen & David F. Gaieski & Dylan S. Small - 459-471 A Dynamic Bayesian Model for Characterizing Cross-Neuronal Interactions During Decision-Making
by Bo Zhou & David E. Moorman & Sam Behseta & Hernando Ombao & Babak Shahbaba - 472-487 Bayesian Spatial Change of Support for Count-Valued Survey Data With Application to the American Community Survey
by Jonathan R. Bradley & Christopher K. Wikle & Scott H. Holan - 488-499 Detection of Infectious Disease Outbreaks From Laboratory Data With Reporting Delays
by Angela Noufaily & Paddy Farrington & Paul Garthwaite & Doyo Gragn Enki & Nick Andrews & Andre Charlett - 500-509 Calibrating Functional Parameters in the Ion Channel Models of Cardiac Cells
by Matthew Plumlee & V. Roshan Joseph & Hui Yang - 510-525 Identification and Estimation of Causal Mechanisms in Clustered Encouragement Designs: Disentangling Bed Nets Using Bayesian Principal Stratification
by Laura Forastiere & Fabrizia Mealli & Tyler J. VanderWeele - 526-537 Using Binary Paradata to Correct for Measurement Error in Survey Data Analysis
by Damião Nóbrega Da Silva & Chris Skinner & Jae Kwang Kim - 538-548 Joint Estimation of Treatment and Placebo Effects in Clinical Trials With Longitudinal Blinding Assessments
by Wei Liu & Zhiwei Zhang & R. Jason Schroeder & Martin Ho & Bo Zhang & Cynthia Long & Hui Zhang & Telba Z. Irony - 549-563 Understanding the Impact of Stroke on Brain Motor Function: A Hierarchical Bayesian Approach
by Zhe Yu & Raquel Prado & Erin Burke Quinlan & Steven C. Cramer & Hernando Ombao - 564-584 Modeling E-mail Networks and Inferring Leadership Using Self-Exciting Point Processes
by Eric W. Fox & Martin B. Short & Frederic P. Schoenberg & Kathryn D. Coronges & Andrea L. Bertozzi - 585-599 A Multiresolution Stochastic Process Model for Predicting Basketball Possession Outcomes
by Daniel Cervone & Alex D’Amour & Luke Bornn & Kirk Goldsberry - 600-620 Exact Post-Selection Inference for Sequential Regression Procedures
by Ryan J. Tibshirani & Jonathan Taylor & Richard Lockhart & Robert Tibshirani - 614-617 Comment
by Lawrence D. Brown & Kory D. Johnson - 618-620 Rejoinder
by Ryan J. Tibshirani & Jonathan Taylor & Richard Lockhart & Robert Tibshirani - 621-633 Structured Matrix Completion with Applications to Genomic Data Integration
by Tianxi Cai & T. Tony Cai & Anru Zhang - 634-645 The Controlled Thermodynamic Integral for Bayesian Model Evidence Evaluation
by Chris J. Oates & Theodore Papamarkou & Mark Girolami - 646-655 Empirical Likelihood for Right Censored Lifetime Data
by Shuyuan He & Wei Liang & Junshan Shen & Grace Yang - 656-669 Bayesian Conditional Tensor Factorizations for High-Dimensional Classification
by Yun Yang & David B. Dunson - 670-683 A General Regression Changepoint Test for Time Series Data
by Michael W. Robbins & Colin M. Gallagher & Robert B. Lund - 684-695 A Class of Functional Methods for Error-Contaminated Survival Data Under Additive Hazards Models with Replicate Measurements
by Ying Yan & Grace Y. Yi - 696-706 Simultaneous Sparse Estimation of Canonical Vectors in the ≫ Setting
by Irina Gaynanova & James G. Booth & Martin T. Wells - 707-720 Sparse Regression Incorporating Graphical Structure Among Predictors
by Guan Yu & Yufeng Liu - 721-735 Multivariate-Sign-Based High-Dimensional Tests for the Two-Sample Location Problem
by Long Feng & Changliang Zou & Zhaojun Wang - 736-747 Generalized Quasi-Likelihood Ratio Tests for Semiparametric Analysis of Covariance Models in Longitudinal Data
by Jin Tang & Yehua Li & Yongtao Guan - 748-762 Approximations of the Optimal Importance Density Using Gaussian Particle Flow Importance Sampling
by Pete Bunch & Simon Godsill - 763-771 Robust Orthogonal Complement Principal Component Analysis
by Yiyuan She & Shijie Li & Dapeng Wu - 772-786 Functional CAR Models for Large Spatially Correlated Functional Datasets
by Lin Zhang & Veerabhadran Baladandayuthapani & Hongxiao Zhu & Keith A. Baggerly & Tadeusz Majewski & Bogdan A. Czerniak & Jeffrey S. Morris - 787-799 Efficient Estimation of the Cox Model with Auxiliary Subgroup Survival Information
by Chiung-Yu Huang & Jing Qin & Huei-Ting Tsai - 800-812 Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets
by Abhirup Datta & Sudipto Banerjee & Andrew O. Finley & Alan E. Gelfand - 813-821 Trace Pursuit: A General Framework for Model-Free Variable Selection
by Zhou Yu & Yuexiao Dong & Li-Xing Zhu - 822-833 Nonparametric Variance Estimation Under Fine Stratification: An Alternative to Collapsed Strata
by F. Jay Breidt & Jean D. Opsomer & Ismael Sanchez-Borrego - 834-845 Convex Banding of the Covariance Matrix
by Jacob Bien & Florentina Bunea & Luo Xiao - 846-860 Fast, Exact Bootstrap Principal Component Analysis for > 1 Million
by Aaron Fisher & Brian Caffo & Brian Schwartz & Vadim Zipunnikov - 861-874 Using a Monotonic Density Ratio Model to Find the Asymptotically Optimal Combination of Multiple Diagnostic Tests
by Baojiang Chen & Pengfei Li & Jing Qin & Tao Yu - 875-887 Active Clinical Trials for Personalized Medicine
by Stanislav Minsker & Ying-Qi Zhao & Guang Cheng - 888-898 Spatio-Temporal Covariance and Cross-Covariance Functions of the Great Circle Distance on a Sphere
by Emilio Porcu & Moreno Bevilacqua & Marc G. Genton - 899-911 I-Optimal Design of Mixture Experiments
by Peter Goos & Bradley Jones & Utami Syafitri - 912-919 Book Reviews
by The Editors
March 2016, Volume 111, Issue 513
- 1-13 A Functional Approach to Deconvolve Dynamic Neuroimaging Data
by Ci-Ren Jiang & John A. D. Aston & Jane-Ling Wang - 14-26 A Bayesian Partial Identification Approach to Inferring the Prevalence of Accounting Misconduct
by P. Richard Hahn & Jared S. Murray & Ioanna Manolopoulou - 27-42 Meta-Analytic Framework for Sparse K -Means to Identify Disease Subtypes in Multiple Transcriptomic Studies
by Zhiguang Huo & Ying Ding & Silvia Liu & Steffi Oesterreich & George Tseng - 43-56 Collective Estimation of Multiple Bivariate Density Functions With Application to Angular-Sampling-Based Protein Loop Modeling
by Mehdi Maadooliat & Lan Zhou & Seyed Morteza Najibi & Xin Gao & Jianhua Z. Huang - 57-72 Calibrating an Ice Sheet Model Using High-Dimensional Binary Spatial Data
by Won Chang & Murali Haran & Patrick Applegate & David Pollard - 73-92 Perturbation Detection Through Modeling of Gene Expression on a Latent Biological Pathway Network: A Bayesian Hierarchical Approach
by Lisa M. Pham & Luis Carvalho & Scott Schaus & Eric D. Kolaczyk - 93-106 A Model-Based Approach to Climate Reconstruction Using Tree-Ring Data
by Matthew R. Schofield & Richard J. Barker & Andrew Gelman & Edward R. Cook & Keith R. Briffa - 107-117 Constrained Maximum Likelihood Estimation for Model Calibration Using Summary-Level Information From External Big Data Sources
by Nilanjan Chatterjee & Yi-Hau Chen & Paige Maas & Raymond J. Carroll - 118-121 Comment
by Peisong Han & Jerald F. Lawless - 121-122 Comment
by Sebastien Haneuse & Claudia Rivera - 123-124 Comment
by Thomas A. Louis & Niels Keiding - 124-127 Comment: A Human Genetics Perspective
by Joel A. Mefford & Noah A. Zaitlen & John S. Witte - 127-129 Comment: Addressing the Need for Portability in Big Data Model Building and Calibration
by Chirag J. Patel & Francesca Dominici - 130-131 Rejoinder
by Nilanjan Chatterjee & Yi-Hau Chen & Paige Maas & Raymond J. Carroll - 132-144 Instrumental Variables Estimation With Some Invalid Instruments and its Application to Mendelian Randomization
by Hyunseung Kang & Anru Zhang & T. Tony Cai & Dylan S. Small - 145-156 Generalizing Quantile Regression for Counting Processes With Applications to Recurrent Events
by Xiaoyan Sun & Limin Peng & Yijian Huang & HuiChuan J. Lai - 157-168 A Potential Tale of Two-by-Two Tables From Completely Randomized Experiments
by Peng Ding & Tirthankar Dasgupta - 169-179 Ultrahigh-Dimensional Multiclass Linear Discriminant Analysis by Pairwise Sure Independence Screening
by Rui Pan & Hansheng Wang & Runze Li - 180-199 Constrained Estimators and Consistency of a Regression Model on a Lexis Diagram
by Wenjiang Fu - 200-215 Statistical Inference in Hidden Markov Models Using k -Segment Constraints
by Michalis K. Titsias & Christopher C. Holmes & Christopher Yau - 216-228 Pairwise Likelihood Inference for Nested Hidden Markov Chain Models for Multilevel Longitudinal Data
by Francesco Bartolucci & Monia Lupparelli - 229-240 Large-Scale Multiple Testing of Correlations
by T. Tony Cai & Weidong Liu - 241-252 Personalized Prediction and Sparsity Pursuit in Latent Factor Models
by Yunzhang Zhu & Xiaotong Shen & Changqing Ye - 253-265 Minimax and Adaptive Estimation of Covariance Operator for Random Variables Observed on a Lattice Graph
by T. Tony Cai & Ming Yuan - 266-274 Estimation and Testing of Varying Coefficients in Quantile Regression
by Xingdong Feng & Liping Zhu - 275-287 Feature Augmentation via Nonparametrics and Selection (FANS) in High-Dimensional Classification
by Jianqing Fan & Yang Feng & Jiancheng Jiang & Xin Tong - 288-297 Spline-Lasso in High-Dimensional Linear Regression
by Jianhua Guo & Jianchang Hu & Bing-Yi Jing & Zhen Zhang - 298-313 Efficient Sequential Monte Carlo With Multiple Proposals and Control Variates
by Wentao Li & Rong Chen & Zhiqiang Tan - 314-330 Stepwise Signal Extraction via Marginal Likelihood
by Chao Du & Chu-Lan Michael Kao & S. C. Kou - 331-343 Hierarchical Testing in the High-Dimensional Setting With Correlated Variables
by Jacopo Mandozzi & Peter Bühlmann - 344-354 Quantile Regression in the Secondary Analysis of Case--Control Data
by Ying Wei & Xiaoyu Song & Mengling Liu & Iuliana Ionita-Laza & Joan Reibman - 355-376 Variable Selection With Prior Information for Generalized Linear Models via the Prior LASSO Method
by Yuan Jiang & Yunxiao He & Heping Zhang - 377-393 An Adaptive Exchange Algorithm for Sampling From Distributions With Intractable Normalizing Constants
by Faming Liang & Ick Hoon Jin & Qifan Song & Jun S. Liu - 394-406 Asymptotically Normal and Efficient Estimation of Covariate-Adjusted Gaussian Graphical Model
by Mengjie Chen & Zhao Ren & Hongyu Zhao & Harrison Zhou - 407-422 Estimating Variance Components in Functional Linear Models With Applications to Genetic Heritability
by Matthew Reimherr & Dan Nicolae - 423-437 Extended MaxT Tests of One-Sided Hypotheses
by Zeng-Hua Lu
December 2015, Volume 110, Issue 512
- 1325-1330 Statistics: Making Better Decisions
by David Morganstein - 1331-1344 Wanna Get Away? Regression Discontinuity Estimation of Exam School Effects Away From the Cutoff
by Joshua D. Angrist & Miikka Rokkanen - 1345-1347 Comment
by Michael G. Hudgens - 1347-1348 Comment
by Thomas Lemieux - 1348-1349 Rejoinder
by Joshua D. Angrist & Miikka Rokkanen - 1350-1361 Bayesian Partition Models for Identifying Expression Quantitative Trait Loci
by Bo Jiang & Jun S. Liu - 1362-1374 Bayesian Phylogenetic Inference Using a Combinatorial Sequential Monte Carlo Method
by Liangliang Wang & Alexandre Bouchard-Côté & Arnaud Doucet - 1375-1388 Temporal Autocorrelation-Based Beamforming With MEG Neuroimaging Data
by Jian Zhang & Li Su - 1389-1398 Some Counterclaims Undermine Themselves in Observational Studies
by Paul R. Rosenbaum - 1399-1411 Randomized Controlled Field Trials of Predictive Policing
by G. O. Mohler & M. B. Short & Sean Malinowski & Mark Johnson & G. E. Tita & Andrea L. Bertozzi & P. J. Brantingham - 1412-1421 Rerandomization to Balance Tiers of Covariates
by Kari Lock Morgan & Donald B. Rubin - 1422-1433 An Adaptive Resampling Test for Detecting the Presence of Significant Predictors
by Ian W. McKeague & Min Qian - 1434-1438 Comment
by A. Chatterjee & S. N. Lahiri - 1439-1442 Comment
by Rajen D. Shah & Richard J. Samworth - 1442-1445 Comment
by Emre Barut & Huixia Judy Wang - 1446-1449 Comment
by Lawrence D. Brown & Daniel McCarthy - 1449-1451 Comment
by Alexandre Belloni & Victor Chernozhukov - 1451-1454 Comment
by Yichi Zhang & Eric B. Laber - 1455-1456 Comment
by Sai Li & Ritwik Mitra & Cun-Hui Zhang - 1457-1459 Comment
by Hannes Leeb - 1459-1462 Rejoinder
by Ian W. McKeague & Min Qian - 1463-1478 A Simple Formula for Mixing Estimators With Different Convergence Rates
by Stephen S. M. Lee & Mehdi Soleymani - 1479-1490 Dirichlet--Laplace Priors for Optimal Shrinkage
by Anirban Bhattacharya & Debdeep Pati & Natesh S. Pillai & David B. Dunson - 1491-1499 Exact Optimal Confidence Intervals for Hypergeometric Parameters
by Weizhen Wang - 1500-1514 Bayesian Compressed Regression
by Rajarshi Guhaniyogi & David B. Dunson - 1515-1527 Groupwise Dimension Reduction via Envelope Method
by Zifang Guo & Lexin Li & Wenbin Lu & Bing Li - 1528-1542 Uniformly Semiparametric Efficient Estimation of Treatment Effects With a Continuous Treatment
by Antonio F. Galvao & Liang Wang - 1543-1551 A Cluster-Based Outlier Detection Scheme for Multivariate Data
by J. Marcus Jobe & Michael Pokojovy - 1552-1561 Plausibility Functions and Exact Frequentist Inference
by Ryan Martin - 1562-1576 Bayesian Factorizations of Big Sparse Tensors
by Jing Zhou & Anirban Bhattacharya & Amy H. Herring & David B. Dunson - 1577-1590 Semiparametric Pseudo-Likelihoods in Generalized Linear Models With Nonignorable Missing Data
by Jiwei Zhao & Jun Shao - 1591-1606 Robust Filtering
by Laurent E. Calvet & Veronika Czellar & Elvezio Ronchetti - 1607-1620 High-Dimensional Variable Selection With Reciprocal L 1 -Regularization
by Qifan Song & Faming Liang - 1621-1631 Marginal Inferential Models: Prior-Free Probabilistic Inference on Interest Parameters
by Ryan Martin & Chuanhai Liu - 1632-1645 Testing the Number of Components in Normal Mixture Regression Models
by Hiroyuki Kasahara & Katsumi Shimotsu - 1646-1657 Latent Space Models for Dynamic Networks
by Daniel K. Sewell & Yuguo Chen - 1658-1669 A High-Dimensional Nonparametric Multivariate Test for Mean Vector
by Lan Wang & Bo Peng & Runze Li - 1670-1683 Smoothed and Corrected Score Approach to Censored Quantile Regression With Measurement Errors
by Yuanshan Wu & Yanyuan Ma & Guosheng Yin - 1684-1695 Latent Surface Models for Networks Using Aggregated Relational Data
by Tyler H. McCormick & Tian Zheng - 1696-1706 Sequentially Refined Latin Hypercube Designs: Reusing Every Point
by Jin Xu & Jiajie Chen & Peter Z. G. Qian - 1707-1716 A Permutation Approach to Testing Interactions for Binary Response by Comparing Correlations Between Classes
by Noah Simon & Robert Tibshirani - 1717-1725 On Asymptotic Distributions and Confidence Intervals for LIFT Measures in Data Mining
by Wenxin Jiang & Yu Zhao - 1726-1734 Conditional Distance Correlation
by Xueqin Wang & Wenliang Pan & Wenhao Hu & Yuan Tian & Heping Zhang - 1735-1744 Small Area Estimation With Uncertain Random Effects
by Gauri Sankar Datta & Abhyuday Mandal - 1745-1752 Treatment Effects With Censoring and Endogeneity
by Brigham R. Frandsen - 1753-1769 Optimal Data-Driven Regression Discontinuity Plots
by Sebastian Calonico & Matias D. Cattaneo & Rocío Titiunik - 1770-1784 Reinforcement Learning Trees
by Ruoqing Zhu & Donglin Zeng & Michael R. Kosorok - 1785-1796 Nonparametric and Parametric Estimators of Prevalence From Group Testing Data With Aggregated Covariates
by Aurore Delaigle & Wen-Xin Zhou - 1797-1817 Self-Normalization for Time Series: A Review of Recent Developments
by Xiaofeng Shao
September 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 & Matías 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
June 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