Journal of the American Statistical Association

2001 - 2011

Edited by Leonard A. Stefanski

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2011, volume 106, issue 495

Population Value Decomposition, a Framework for the Analysis of Image Populations pp. 775-790

Ciprian M. Crainiceanu, Brian S. Caffo, Sheng Luo, Vadim M. Zipunnikov and Naresh M. Punjabi

Comment pp. 791-796

Nicole A. Lazar

Comment pp. 796-797

Kerby Shedden

Comment pp. 798-802

E. F. Lock, A. B. Nobel and J. S. Marron

Comment pp. 802-803

Ying Nian Wu

Rejoinder pp. 803-806

Ciprian M. Crainiceanu, Brian S. Caffo, Sheng Luo, Vadim M. Zipunnikov and Naresh M. Punjabi

Nonparametric Bayes Stochastically Ordered Latent Class Models pp. 807-817

Hongxia Yang, O’Brien, Sean and David B. Dunson

Robust EM Continual Reassessment Method in Oncology Dose Finding pp. 818-831

Ying Yuan and Guosheng Yin

Analysis of Long Period Variable Stars With Nonparametric Tests for Trend Detection pp. 832-845

Cheolwoo Park, Jeongyoun Ahn, Martin Hendry and Woncheol Jang

Fast and Accurate Approximation to Significance Tests in Genome-Wide Association Studies pp. 846-857

Yu Zhang and Jun S. Liu

Functional Principal Component Analysis of Density Families With Categorical and Continuous Data on Canadian Entrant Manufacturing Firms pp. 858-878

Kim P. Huynh, Jacho-Chávez, David T., Robert John Petrunia and Marcel Cristian Voia

Distinct Counting With a Self-Learning Bitmap pp. 879-890

Aiyou Chen, Jin Cao, Larry Shepp and Tuan Nguyen

A Statistical Framework for the Analysis of ChIP-Seq Data pp. 891-903

Pei Fen Kuan, Dongjun Chung, Guangjin Pan, James A. Thomson, Ron Stewart and Keleş, Sündüz

Adaptive Confidence Intervals for the Test Error in Classification pp. 904-913

Eric B. Laber and Susan A. Murphy

Comment pp. 914-915

Richard J. Samworth

Comment pp. 916-918

Bühlmann, Peter

Comment pp. 919-919

Dümbgen, Lutz

Comment pp. 920-924

Yair Goldberg and Michael R. Kosorok

Comment pp. 924-931

Yuhong Yang and Gang Cheng

Comment pp. 931-936

Susan Wei and Andrew B. Nobel

Comment pp. 936-940

Wolfgang Polonik

Rejoinder pp. 940-945

Eric B. Laber and Susan A. Murphy

An Asymptotically Pivotal Transform of the Residuals Sample Autocorrelations With Application to Model Checking pp. 946-958

Miguel A. Delgado and Carlos Velasco

Variational Bayesian Inference for Parametric and Nonparametric Regression With Missing Data pp. 959-971

C. Faes, J. T. Ormerod and M. P. Wand

Bayesian Inference for the Spatial Random Effects Model pp. 972-983

Emily L. Kang and Noel Cressie

Posterior Probability of Discovery and Expected Rate of Discovery for Multiple Hypothesis Testing and High Throughput Assays pp. 984-996

Yihua Zhao

Correcting for Population Stratification in Genomewide Association Studies pp. 997-1008

D. Y. Lin and D. Zeng

Independent Component Analysis Involving Autocorrelated Sources With an Application to Functional Magnetic Resonance Imaging pp. 1009-1024

Seonjoo Lee, Haipeng Shen, Young Truong, Mechelle Lewis and Xuemei Huang

Large Volatility Matrix Inference via Combining Low-Frequency and High-Frequency Approaches pp. 1025-1040

Minjing Tao, Yazhen Wang, Qiwei Yao and Jian Zou

Rao–Blackwellization for Bayesian Variable Selection and Model Averaging in Linear and Binary Regression: A Novel Data Augmentation Approach pp. 1041-1052

Joyee Ghosh and Merlise A. Clyde

Optimal Weight Choice for Frequentist Model Average Estimators pp. 1053-1066

Hua Liang, Guohua Zou, Alan T. K. Wan and Xinyu Zhang

Permutation Multiple Tests of Binary Features Do Not Uniformly Control Error Rates pp. 1067-1074

Eloise E. Kaizar, Yan Li and Jason C. Hsu

Hierarchical Clustering With Prototypes via Minimax Linkage pp. 1075-1084

Jacob Bien and Robert Tibshirani

Summarizing Insurance Scores Using a Gini Index pp. 1085-1098

Edward W. Frees, Glenn Meyers and A. David Cummings

Linear or Nonlinear? Automatic Structure Discovery for Partially Linear Models pp. 1099-1112

Hao Helen Zhang, Guang Cheng and Yufeng Liu

A Measure of Stationarity in Locally Stationary Processes With Applications to Testing pp. 1113-1124

Holger Dette, Philip Preuß and Mathias Vetter

SparseNet: Coordinate Descent With Nonconvex Penalties pp. 1125-1138

Rahul Mazumder, Jerome H. Friedman and Trevor Hastie

Multi-Layer Designs for Computer Experiments pp. 1139-1149

Shan Ba and V. Roshan Joseph

GLS Estimation of Dynamic Factor Models pp. 1150-1166

Jörg Breitung and Tenhofen, Jörn

Robust, Adaptive Functional Regression in Functional Mixed Model Framework pp. 1167-1179

Hongxiao Zhu, Philip J. Brown and Jeffrey S. Morris

Density Estimation in Several Populations With Uncertain Population Membership pp. 1180-1192

Yanyuan Ma, Jeffrey D. Hart and Raymond J. Carroll

Fusion-Refinement Procedure for Dimension Reduction With Missing Response at Random pp. 1193-1207

Xiaobo Ding and Qihua Wang

Predicting False Discovery Proportion Under Dependence pp. 1208-1218

Subhashis Ghosal and Anindya Roy

2011, volume 106, issue 494

Estimating the Term Structure With a Semiparametric Bayesian Hierarchical Model: An Application to Corporate Bonds pp. 387-395

Alejandro Cruz-Marcelo, Katherine B. Ensor and Gary L. Rosner

An Approach to the Estimation of Chronic Air Pollution Effects Using Spatio-Temporal Information pp. 396-406

Sonja Greven, Francesca Dominici and Scott Zeger

Multivariate Regression Analysis for the Item Count Technique pp. 407-416

Kosuke Imai

Self-Controlled Case Series Analysis With Event-Dependent Observation Periods pp. 417-426

C. Paddy Farrington, Karim Anaya-Izquierdo, Heather J. Whitaker, Mounia N. Hocine, Ian Douglas and Liam Smeeth

Predictive Macro-Finance With Dynamic Partition Models pp. 427-439

Daniel Zantedeschi, Paul Damien and Nicholas G. Polson

Malaria in Northwest India: Data Analysis via Partially Observed Stochastic Differential Equation Models Driven by Lévy Noise pp. 440-451

Anindya Bhadra, Edward L. Ionides, Karina Laneri, Mercedes Pascual, Menno Bouma and Ramesh C. Dhiman

Global Warming and Local Dimming: The Statistical Evidence pp. 452-464

Jan R. Magnus, Bertrand Melenberg and Chris Muris

Rejoinder pp. 457-468

Jan R. Magnus, Bertrand Melenberg and Chris Muris

Comment pp. 465-467

T. Storelvmo and T. Leirvik

Modeling Partial Compliance Through Copulas in a Principal Stratification Framework pp. 469-479

Francesco Bartolucci and Leonardo Grilli

Cocaine Dependence Treatment Data: Methods for Measurement Error Problems With Predictors Derived From Stationary Stochastic Processes pp. 480-493

Yongtao Guan, Yehua Li and Rajita Sinha

Identifying Risk Factors for Severe Childhood Malnutrition by Boosting Additive Quantile Regression pp. 494-510

Nora Fenske, Thomas Kneib and Torsten Hothorn

Using Split Samples and Evidence Factors in an Observational Study of Neonatal Outcomes pp. 511-524

Kai Zhang, Dylan S. Small, Scott Lorch, Sindhu Srinivas and Paul R. Rosenbaum

Inference for Quantitation Parameters in Polymerase Chain Reactions via Branching Processes With Random Effects pp. 525-533

Bret Hanlon and Anand N. Vidyashankar

A Direct Bootstrap Method for Complex Sampling Designs From a Finite Population pp. 534-543

Erika Antal and Tillé, Yves

Nonparametric Independence Screening in Sparse Ultra-High-Dimensional Additive Models pp. 544-557

Jianqing Fan, Yang Feng and Rui Song

Estimating the Jump Activity Index Under Noisy Observations Using High-Frequency Data pp. 558-568

Bing-Yi Jing, Xin-Bing Kong and Zhi Liu

Nonparametric Evaluation of Biomarker Accuracy Under Nested Case-Control Studies pp. 569-580

Tianxi Cai and Yingye Zheng

Randomization-Based Inference Within Principal Strata pp. 581-593

Tracy L. Nolen and Michael G. Hudgens

A Constrained â„“1 Minimization Approach to Sparse Precision Matrix Estimation pp. 594-607

Tony Cai, Weidong Liu and Xi Luo

Bootstrapping Lasso Estimators pp. 608-625

A. Chatterjee and S. N. Lahiri

Outlier Detection Using Nonconvex Penalized Regression pp. 626-639

Yiyuan She and Art B. Owen

Nonparametric Regression Analysis for Group Testing Data pp. 640-650

Aurore Delaigle and Alexander Meister

Do-Validation for Kernel Density Estimation pp. 651-660

Enno Mammen, Martínez Miranda, María Dolores, Jens Perch Nielsen and Stefan Sperlich

Projection Estimators for Generalized Linear Models pp. 661-671

Andrea Bergesio and Victor J. Yohai

Adaptive Thresholding for Sparse Covariance Matrix Estimation pp. 672-684

Tony Cai and Weidong Liu

A Semiparametric Threshold Model for Censored Longitudinal Data Analysis pp. 685-696

Jialiang Li and Wenyang Zhang

The Degrees of Freedom of Partial Least Squares Regression pp. 697-705

Krämer, Nicole and Masashi Sugiyama

Robust and Efficient One-Way MANOVA Tests pp. 706-718

Stefan Van Aelst and Gert Willems

An Outlier-Robust Fit for Generalized Additive Models With Applications to Disease Outbreak Detection pp. 719-731

Azadeh Alimadad and Matias Salibian-Barrera

Best Predictive Small Area Estimation pp. 732-745

Jiming Jiang, Thuan Nguyen and J. Sunil Rao

Making and Evaluating Point Forecasts pp. 746-762

Tilmann Gneiting

2011, volume 106, issue 493

Statistics: A Key to Innovation in a Data-Centric World! pp. 1-5

Sastry G. Pantula

Bayesian Spatial Quantile Regression pp. 6-20

Brian J. Reich, Montserrat Fuentes and David B. Dunson

Statistical Estimation of Word Acquisition With Application to Readability Prediction pp. 21-30

Paul Kidwell, Guy Lebanon and Kevyn Collins-Thompson

A Hierarchical Model for Quantifying Forest Variables Over Large Heterogeneous Landscapes With Uncertain Forest Areas pp. 31-48

Andrew O. Finley, Sudipto Banerjee and David W. MacFarlane

Online Model-Based Clustering for Crisis Identification in Distributed Computing pp. 49-60

Dawn B. Woodard and Moises Goldszmidt

Modeling Three-Dimensional Chromosome Structures Using Gene Expression Data pp. 61-72

Guanghua Xiao, Xinlei Wang and Arkady B. Khodursky

Multiple Testing for Pattern Identification, With Applications to Microarray Time-Course Experiments pp. 73-88

Wenguang Sun and Zhi Wei

Changepoints in the North Atlantic Tropical Cyclone Record pp. 89-99

Michael W. Robbins, Robert B. Lund, Colin M. Gallagher and QiQi Lu

Self-Exciting Point Process Modeling of Crime pp. 100-108

G. O. Mohler, M. B. Short, P. J. Brantingham, F. P. Schoenberg and G. E. Tita

Dynamic Trees for Learning and Design pp. 109-123

Matthew A. Taddy, Robert B. Gramacy and Nicholas G. Polson

Meta Analysis of Functional Neuroimaging Data via Bayesian Spatial Point Processes pp. 124-134

Jian Kang, Timothy D. Johnson, Thomas E. Nichols and Tor D. Wager

Improved Inference for Respondent-Driven Sampling Data With Application to HIV Prevalence Estimation pp. 135-146

Krista J. Gile

Saddlepoint Test in Measurement Error Models pp. 147-156

Yanyuan Ma and Elvezio Ronchetti

A Semiparametric Estimation of Mean Functionals With Nonignorable Missing Data pp. 157-165

Jae Kwang Kim and Cindy Long Yu

Hard or Soft Classification? Large-Margin Unified Machines pp. 166-177

Yufeng Liu, Hao Helen Zhang and Yichao Wu

Inverse Regression Estimation for Censored Data pp. 178-190

Nivedita V. Nadkarni, Yingqi Zhao and Michael R. Kosorok

Testing and Estimating Shape-Constrained Nonparametric Density and Regression in the Presence of Measurement Error pp. 191-202

Raymond J. Carroll, Aurore Delaigle and Peter Hall

Fast Robust Model Selection in Large Datasets pp. 203-212

Debbie J. Dupuis and Maria-Pia Victoria-Feser

Adaptive Probability-Based Latin Hypercube Designs pp. 213-219

Ying Hung

Testing for Threshold Effects in Regression Models pp. 220-231

Lee, Sokbae (Simon), Myung Hwan Seo and Youngki Shin

VIF Regression: A Fast Regression Algorithm for Large Data pp. 232-247

Dongyu Lin, Dean P. Foster and Lyle H. Ungar

On Propagated Scoring for Semisupervised Additive Models pp. 248-259

Mark Culp

Tests for High-Dimensional Regression Coefficients With Factorial Designs pp. 260-274

Ping-Shou Zhong and Song Xi Chen

Stringing High-Dimensional Data for Functional Analysis pp. 275-284

Kun Chen, Kehui Chen, Müller, Hans-Georg and Jane-Ling Wang

Some Approximate Evidence Factors in Observational Studies pp. 285-295

Paul R. Rosenbaum

EEBoost: A General Method for Prediction and Variable Selection Based on Estimating Equations pp. 296-305

Julian Wolfson

Nonparametric Regression With Predictors Missing at Random pp. 306-319

Sam Efromovich

Confidence Distributions and a Unifying Framework for Meta-Analysis pp. 320-333

Minge Xie, Kesar Singh and William E. Strawderman

Small Sample LD50 Confidence Intervals Using Saddlepoint Approximations pp. 334-344

Robert L. Paige, Phillip L. Chapman and Ronald W. Butler

Multivariate Matching Methods That Are Monotonic Imbalance Bounding pp. 345-361

Stefano Maria Iacus, Gary King and Giuseppe Porro

Model Selection by Testing for the Presence of Small-Area Effects, and Application to Area-Level Data pp. 362-374

Gauri S. Datta, Peter Hall and Abhyuday Mandal