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September 2014, Volume 109, Issue 507
- 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
June 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 Ríos 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 - 788-801 Selection of Mixed Copula Model via Penalized Likelihood
by Zongwu Cai & Xian Wang - 802-814 A Class of Hazard Rate Mixtures for Combining Survival Data From Different Experiments
by Antonio Lijoi & Bernardo Nipoti - 815-827 Fused Estimators of the Central Subspace in Sufficient Dimension Reduction
by R. Dennis Cook & Xin Zhang - 828-846 EMVS: The EM Approach to Bayesian Variable Selection
by Veronika Ročková & Edward I. George - 847-863 Simulated Stochastic Approximation Annealing for Global Optimization With a Square-Root Cooling Schedule
by Faming Liang & Yichen Cheng & Guang Lin - 871-871 Ensemble Subsampling for Imbalanced Multivariate Two-Sample Tests
by L. Chen & W. W. Dou & Z. Qiao
March 2014, Volume 109, Issue 505
- 1-10 Bayesian Models for Multiple Outcomes in Domains With Application to the Seychelles Child Development Study
by Luo Xiao & Sally W. Thurston & David Ruppert & Tanzy M. T. Love & Philip W. Davidson - 11-23 A New Estimation Approach for Combining Epidemiological Data From Multiple Sources
by Hui Huang & Xiaomei Ma & Rasmus Waagepetersen & Theodore R. Holford & Rong Wang & Harvey Risch & Lloyd Mueller & Yongtao Guan - 24-35 Estimating the Lifetime Risk of Dementia in the Canadian Elderly Population Using Cross-Sectional Cohort Survival Data
by Marco Carone & Masoud Asgharian & Nicholas P. Jewell - 36-47 Statistical Modeling Methodology for the Voting Rights Act Section 203 Language Assistance Determinations
by Patrick M. Joyce & Donald Malec & Roderick J. A. Little & Aaron Gilary & Alfredo Navarro & Mark E. Asiala - 48-62 A Locally Convoluted Cluster Model for Nucleosome Positioning Signals in Chemical Maps
by Liqun Xi & Kristin Brogaard & Qingyang Zhang & Bruce Lindsay & Jonathan Widom & Ji-Ping Wang - 63-77 A Methodology for Robust Multiproxy Paleoclimate Reconstructions and Modeling of Temperature Conditional Quantiles
by Lucas Janson & Bala Rajaratnam - 78-94 Some Statistical Strategies for DAE-seq Data Analysis: Variable Selection and Modeling Dependencies Among Observations
by Naim Rashid & Wei Sun & Joseph G. Ibrahim - 95-107 Uncertainty in Propensity Score Estimation: Bayesian Methods for Variable Selection and Model-Averaged Causal Effects
by Corwin Matthew Zigler & Francesca Dominici - 108-118 Modeling Bivariate Longitudinal Hormone Profiles by Hierarchical State Space Models
by Ziyue Liu & Anne R. Cappola & Leslie J. Crofford & Wensheng Guo - 119-132 Detection of Unusual Increases in MRI Lesion Counts in Individual Multiple Sclerosis Patients
by Yinshan Zhao & David K. B. Li & A. John Petkau & Andrew Riddehough & Anthony Traboulsee - 133-144 Clustered Treatment Assignments and Sensitivity to Unmeasured Biases in Observational Studies
by Ben B. Hansen & Paul R. Rosenbaum & Dylan S. Small - 145-159 A Generalized Least-Square Matrix Decomposition
by Genevera I. Allen & Logan Grosenick & Jonathan Taylor - 160-172 Bootstrap Testing of the Rank of a Matrix via Least-Squared Constrained Estimation
by François Portier & Bernard Delyon - 173-185 Parametric Estimation of Ordinary Differential Equations With Orthogonality Conditions
by Nicolas J-B. Brunel & Quentin Clairon & Florence d'Alché-Buc - 186-196 Joint Estimation of the Mean and Error Distribution in Generalized Linear Models
by Alan Huang - 197-215 The Estimation of Leverage Effect With High-Frequency Data
by Christina D. Wang & Per A. Mykland - 216-229 Model Selection via Bayesian Information Criterion for Quantile Regression Models
by Eun Ryung Lee & Hohsuk Noh & Byeong U. Park - 230-242 Quantile Association Regression Models
by Ruosha Li & Yu Cheng & Jason P. Fine - 243-253 Predictor Selection for Positive Autoregressive Processes
by Ching-Kang Ing & Chiao-Yi Yang - 254-265 A Model-Averaging Approach for High-Dimensional Regression
by Tomohiro Ando & Ker-Chau Li - 266-274 Feature Selection for Varying Coefficient Models With Ultrahigh-Dimensional Covariates
by Jingyuan Liu & Runze Li & Rongling Wu - 275-287 Scale-Invariant Sparse PCA on High-Dimensional Meta-Elliptical Data
by Fang Han & Han Liu - 288-301 Large Sample Randomization Inference of Causal Effects in the Presence of Interference
by Lan Liu & Michael G. Hudgens - 302-314 Accurate Directional Inference for Vector Parameters in Linear Exponential Families
by A. C. Davison & D. A. S. Fraser & N. Reid & N. Sartori - 315-333 Expectation Propagation for Likelihood-Free Inference
by Simon Barthelmé & Nicolas Chopin - 334-345 A Nonparametric Approach for Multiple Change Point Analysis of Multivariate Data
by David S. Matteson & Nicholas A. James - 346-358 Probit Transformation for Kernel Density Estimation on the Unit Interval
by Gery Geenens - 359-370 Gradient-Based Kernel Dimension Reduction for Regression
by Kenji Fukumizu & Chenlei Leng - 371-383 Efficient Estimation of Semiparametric Transformation Models for Two-Phase Cohort Studies
by Donglin Zeng & D. Y. Lin - 384-394 Landmark Estimation of Survival and Treatment Effect in a Randomized Clinical Trial
by Layla Parast & Lu Tian & Tianxi Cai - 395-410 Kernels, Degrees of Freedom, and Power Properties of Quadratic Distance Goodness-of-Fit Tests
by Bruce G. Lindsay & Marianthi Markatou & Surajit Ray - 411-423 Multivariate Functional Halfspace Depth
by Gerda Claeskens & Mia Hubert & Leen Slaets & Kaveh Vakili - 424-436 Principal Flows
by Victor M. Panaretos & Tung Pham & Zhigang Yao - 437-447 Bayes Variable Selection in Semiparametric Linear Models
by Suprateek Kundu & David B. Dunson
December 2013, Volume 108, Issue 504
- 1141-1146 The International Year of Statistics: A Celebration and A Call to Action
by Marie Davidian - 1147-1162 Statistical Learning With Time Series Dependence: An Application to Scoring Sleep in Mice
by Blakeley B. McShane & Shane T. Jensen & Allan I. Pack & Abraham J. Wyner - 1162-1163 Comment
by Kerby Shedden - 1164-1164 Comment
by Donglin Zeng & Yuanjia Wang - 1165-1172 Rejoinder
by Blakeley B. McShane & Shane T. Jensen & Allan I. Pack & Abraham J. Wyner - 1173-1188 Optimal Allocation of Gold Standard Testing Under Constrained Availability: Application to Assessment of HIV Treatment Failure
by Tao Liu & Joseph W. Hogan & Lisa Wang & Shangxuan Zhang & Rami Kantor - 1189-1204 Semiparametric Bayesian Estimation for Marginal Parametric Potential Outcome Modeling: Application to Causal Inference
by Takahiro Hoshino - 1205-1215 Frailty Models for Familial Risk With Application to Breast Cancer
by Malka Gorfine* & Li Hsu* & Giovanni Parmigiani - 1216-1229 A Marginal Approach to Reduced-Rank Penalized Spline Smoothing With Application to Multilevel Functional Data
by Huaihou Chen & Yuanjia Wang & Myunghee Cho Paik & H. Alex Choi - 1230-1242 Bayesian Hierarchical Modeling of the HIV Evolutionary Response to Therapy
by Shane T. Jensen & Jared Park & Alexander F. Braunstein & Jon Mcauliffe - 1243-1256 Generalized Jackknife Estimators of Weighted Average Derivatives
by Matias D. Cattaneo & Richard K. Crump & Michael Jansson - 1257-1258 Comment
by Donglin Zeng - 1258-1260 Comment
by Holger Dette - 1260-1262 Comment
by Enno Mammen - 1262-1264 Comment
by Xiaohong Chen - 1265-1268 Rejoinder
by Matias D. Cattaneo & Richard K. Crump & Michael Jansson - 1269-1283 Classification Using Censored Functional Data
by Aurore Delaigle & Peter Hall - 1284-1294 Selecting the Number of Principal Components in Functional Data
by Yehua Li & Naisyin Wang & Raymond J. Carroll - 1295-1307 Sampling for Conditional Inference on Network Data
by Jingfei Zhang & Yuguo Chen - 1308-1323 Ensemble Subsampling for Imbalanced Multivariate Two-Sample Tests
by Lisha Chen & Winston Wei Dou & Zhihua Qiao - 1324-1338 Bayesian Modeling of Temporal Dependence in Large Sparse Contingency Tables
by Tsuyoshi Kunihama & David B. Dunson - 1339-1349 Bayesian Inference for Logistic Models Using Pólya--Gamma Latent Variables
by Nicholas G. Polson & James G. Scott & Jesse Windle - 1350-1365 Two-Stage Importance Sampling With Mixture Proposals
by Wentao Li & Zhiqiang Tan & Rong Chen - 1366-1384 Epistatic Clustering: A Model-Based Approach for Identifying Links Between Clusters
by Jian Zhang - 1385-1401 Multiple Testing in a Two-Stage Adaptive Design With Combination Tests Controlling FDR
by Sanat K. Sarkar & Jingjing Chen & Wenge Guo - 1402-1410 Multivariate Density Estimation by Bayesian Sequential Partitioning
by Luo Lu & Hui Jiang & Wing H. Wong - 1411-1420 On Optimal Designs for Nonlinear Models: A General and Efficient Algorithm
by Min Yang & Stefanie Biedermann & Elina Tang - 1421-1434 Local Linear Regression on Manifolds and Its Geometric Interpretation
by Ming-yen Cheng & Hau-tieng Wu - 1435-1444 Generalized Residuals for General Models for Contingency Tables With Application to Item Response Theory
by Shelby J. Haberman & Sandip Sinharay - 1445-1456 Locally Adaptive Bayes Nonparametric Regression via Nested Gaussian Processes
by Bin Zhu & David B. Dunson - 1457-1468 Case Definition and Design Sensitivity
by Dylan S. Small & Jing Cheng & M. Elizabeth Halloran & Paul R. Rosenbaum - 1469-1479 Hidden Markov Models With Applications in Cell Adhesion Experiments
by Ying Hung & Yijie Wang & Veronika Zarnitsyna & Cheng Zhu & C. F. Jeff Wu - 1480-1492 Discovering Findings That Replicate From a Primary Study of High Dimension to a Follow-Up Study
by Marina Bogomolov & Ruth Heller - 1493-1505 Adaptive Testing of Conditional Association Through Recursive Mixture Modeling
by Li Ma - 1506-1516 A Progressive Block Empirical Likelihood Method for Time Series
by Young Min Kim & Soumendra N. Lahiri & Daniel J. Nordman - 1517-1531 Cure Rate Quantile Regression for Censored Data With a Survival Fraction
by Yuanshan Wu & Guosheng Yin - 1532-1544 Resampling Procedures for Making Inference Under Nested Case--Control Studies
by Tianxi Cai & Yingye Zheng
September 2013, Volume 108, Issue 503
- 755-770 Multinomial Inverse Regression for Text Analysis
by Matt Taddy - 770-771 Comment
by Justin Grimmer - 771-772 Comment
by David M. Blei - 772-774 Rejoinder: Efficiency and Structure in MNIR
by Matt Taddy - 775-788 A Nonparametric Bayesian Model for Local Clustering With Application to Proteomics
by Juhee Lee & Peter Müller & Yitan Zhu & Yuan Ji - 789-800 Sensitivity Analysis of Per-Protocol Time-to-Event Treatment Efficacy in Randomized Clinical Trials
by Peter B. Gilbert & Bryan E. Shepherd & Michael G. Hudgens - 801-819 Integrated Modeling of European Migration
by James Raymer & Arkadiusz Wiśniowski & Jonathan J. Forster & Peter W. F. Smith & Jakub Bijak - 820-831 A Nonparametric Spatial Model for Periodontal Data With Nonrandom Missingness
by Brian J. Reich & Dipankar Bandyopadhyay & Howard D. Bondell - 832-839 Estimation and Inference Concerning Ordered Means in Analysis of Covariance Models With Interactions
by Jason L. Morrissette & Michael P. Mcdermott - 840-851 Markov-Modulated Nonhomogeneous Poisson Processes for Modeling Detections in Surveys of Marine Mammal Abundance
by Roland Langrock & David L. Borchers & Hans J. Skaug - 852-863 Second-Order Exchangeability Analysis for Multimodel Ensembles
by Jonathan Rougier & Michael Goldstein & Leanna House - 864-875 Spatial Shrinkage Estimation of Diffusion Tensors on Diffusion-Weighted Imaging Data
by Tao Yu & Pengfei Li - 876-891 An Integrative Bayesian Modeling Approach to Imaging Genetics
by Francesco C. Stingo & Michele Guindani & Marina Vannucci & Vince D. Calhoun - 892-901 A Phase I Bayesian Adaptive Design to Simultaneously Optimize Dose and Schedule Assignments Both Between and Within Patients
by Jin Zhang & Thomas M. Braun - 902-913 A Latent Source Model to Detect Multiple Spatial Clusters With Application in a Mobile Sensor Network for Surveillance of Nuclear Materials
by Jerry Q. Cheng & Minge Xie & Rong Chen & Fred Roberts - 914-928 Maximum L q -Likelihood Estimation via the Expectation-Maximization Algorithm: A Robust Estimation of Mixture Models
by Yichen Qin & Carey E. Priebe - 929-941 Nonparametric Mixture of Regression Models
by Mian Huang & Runze Li & Shaoli Wang - 942-956 Validation of Visual Statistical Inference, Applied to Linear Models
by Mahbubul Majumder & Heike Hofmann & Dianne Cook - 957-970 Latent Supervised Learning
by Susan Wei & Michael R. Kosorok - 971-982 Nonparametric Estimation of Conditional Distributions and Rank-Tracking Probabilities With Time-Varying Transformation Models in Longitudinal Studies
by Colin O. Wu & Xin Tian - 983-998 Time-Varying Additive Models for Longitudinal Data
by Xiaoke Zhang & Byeong U. Park & Jane-ling Wang - 999-1008 Partial Factor Modeling: Predictor-Dependent Shrinkage for Linear Regression
by P. Richard Hahn & Carlos M. Carvalho & Sayan Mukherjee - 1009-1020 Parameter Estimation of Partial Differential Equation Models
by Xiaolei Xun & Jiguo Cao & Bani Mallick & Arnab Maity & Raymond J. Carroll - 1021-1030 Wavelet-Variance-Based Estimation for Composite Stochastic Processes
by Stéphane Guerrier & Jan Skaloud & Yannick Stebler & Maria-Pia Victoria-Feser - 1031-1043 Efficiency for Regularization Parameter Selection in Penalized Likelihood Estimation of Misspecified Models
by Cheryl J. Flynn & Clifford M. Hurvich & Jeffrey S. Simonoff - 1044-1061 Asymptotic Equivalence of Regularization Methods in Thresholded Parameter Space
by Yingying Fan & Jinchi Lv - 1062-1074 Estimation of Extreme Conditional Quantiles Through Power Transformation
by Huixia Judy Wang & Deyuan Li - 1075-1089 Estimation of Censored Quantile Regression for Panel Data With Fixed Effects
by Antonio F. Galvao & Carlos Lamarche & Luiz Renato Lima - 1090-1104 Semiparametric Efficient and Robust Estimation of an Unknown Symmetric Population Under Arbitrary Sample Selection Bias
by Yanyuan Ma & Mijeong Kim & Marc G. Genton - 1105-1119 From Depth to Local Depth: A Focus on Centrality
by Davy Paindaveine & Germain Van bever - 1120-1131 Using Secondary Outcomes to Sharpen Inference in Randomized Experiments With Noncompliance
by Fabrizia Mealli & Barbara Pacini - 1138-1139 Correction
by Ryan Martin & Chuanhai Liu
June 2013, Volume 108, Issue 502
- 359-369 In Praise of Simplicity not Mathematistry! Ten Simple Powerful Ideas for the Statistical Scientist
by Roderick J. Little - 370-384 Partially Ordered Mixed Hidden Markov Model for the Disablement Process of Older Adults
by Edward Ip & Qiang Zhang & Jack Rejeski & Tammy Harris & Stephen Kritchevsky - 385-397 A Generalized Fellegi--Sunter Framework for Multiple Record Linkage With Application to Homicide Record Systems
by Mauricio Sadinle & Stephen E. Fienberg - 398-410 Tracking Multiple Targets Using Binary Decisions From Wireless Sensor Networks
by Natallia Katenka & Elizaveta Levina & George Michailidis - 411-428 Spline-Based Emulators for Radiative Shock Experiments With Measurement Error
by Avishek Chakraborty & Bani K. Mallick & Ryan G. Mcclarren & Carolyn C. Kuranz & Derek Bingham & Michael J. Grosskopf & Erica M. Rutter & Hayes F. Stripling & R. Paul Drake - 429-440 A Bayesian Reliability Analysis of Neutron-Induced Errors in High Performance Computing Hardware
by Curtis B. Storlie & Sarah E. Michalak & Heather M. Quinn & Andrew J. Dubois & Steven A. Wender & David H. Dubois - 441-455 Treatment Evaluation With Selective Participation and Ineligibles
by Monica Costa Dias & Hidehiko Ichimura & Gerard J. van den Berg - 456-468 Straight to the Source: Detecting Aggregate Objects in Astronomical Images With Proper Error Control
by David A. Friedenberg & Christopher R. Genovese - 469-482 Mediation and Spillover Effects in Group-Randomized Trials: A Case Study of the 4Rs Educational Intervention
by Tyler J. Vanderweele & Guanglei Hong & Stephanie M. Jones & Joshua L. Brown - 483-493 A Hierarchical Bayesian Approach for Aerosol Retrieval Using MISR Data
by Yueqing Wang & Xin Jiang & Bin Yu & Ming Jiang - 494-503 Bayesian Hierarchical Poisson Regression Models: An Application to a Driving Study With Kinematic Events
by Sungduk Kim & Zhen Chen & Zhiwei Zhang & Bruce G. Simons-Morton & Paul S. Albert - 504-513 Partially Identified Treatment Effects Under Imperfect Compliance: The Case of Domestic Violence
by Zahra Siddique - 514-526 A Study of Mexican Free-Tailed Bat Chirp Syllables: Bayesian Functional Mixed Models for Nonstationary Acoustic Time Series
by Josue G. Martinez & Kirsten M. Bohn & Raymond J. Carroll & Jeffrey S. Morris - 527-539 Effectively Selecting a Target Population for a Future Comparative Study
by Lihui Zhao & Lu Tian & Tianxi Cai & Brian Claggett & L. J. Wei - 540-552 Tensor Regression with Applications in Neuroimaging Data Analysis
by Hua Zhou & Lexin Li & Hongtu Zhu - 553-565 Auxiliary Marker-Assisted Classification in the Absence of Class Identifiers
by Yuanjia Wang & Huaihou Chen & Donglin Zeng & Christine Mauro & Naihua Duan & M. Katherine Shear - 566-576 Unified Analysis of Secondary Traits in Case--Control Association Studies
by Arpita Ghosh & Fred A. Wright & Fei Zou - 577-588 Clustering High-Dimensional Time Series Based on Parallelism
by Ting Zhang - 589-606 Bayesian Subset Modeling for High-Dimensional Generalized Linear Models
by Faming Liang & Qifan Song & Kai Yu - 607-618 Empirical Bayes Confidence Intervals for Selected Parameters in High-Dimensional Data
by J. T. Gene Hwang & Zhigen Zhao - 619-631 Oracally Efficient Two-Step Estimation of Generalized Additive Model
by Rong Liu & Lijian Yang & Wolfgang K. Härdle - 632-643 Robust Variable Selection With Exponential Squared Loss
by Xueqin Wang & Yunlu Jiang & Mian Huang & Heping Zhang - 644-655 Efficient Robust Regression via Two-Stage Generalized Empirical Likelihood
by Howard D. Bondell & Leonard A. Stefanski - 666-675 Nonparametric Identification of Copula Structures
by Bo Li & Marc G. Genton - 676-688 Copula-Based Regression Estimation and Inference
by Hohsuk Noh & Anouar El Ghouch & Taoufik Bouezmarni - 689-700 Simulated Method of Moments Estimation for Copula-Based Multivariate Models
by Dong Hwan Oh & Andrew J. Patton - 701-712 Linear Transformation Model With Parametric Covariate Transformations
by Chunpeng Fan & Jason P. Fine - 713-725 Simultaneous Grouping Pursuit and Feature Selection Over an Undirected Graph
by Yunzhang Zhu & Xiaotong Shen & Wei Pan - 726-740 Heteroscedasticity and Autocorrelation Robust Structural Change Detection
by Zhou Zhou - 741-749 The Poisson Compound Decision Problem Revisited
by Lawrence D. Brown & Eitan Greenshtein & Ya'acov Ritov
March 2013, Volume 108, Issue 501
- 1-6 Building the Big Tent for Statistics
by Robert N. Rodriguez - 7-21 Modeling and Forecasting Daily Electricity Load Curves: A Hybrid Approach
by Haeran Cho & Yannig Goude & Xavier Brossat & Qiwei Yao - 22-33 Circuit Theory and Model-Based Inference for Landscape Connectivity
by Ephraim M. Hanks & Mevin B. Hooten - 34-47 A Bayesian Procedure for File Linking to Analyze End-of-Life Medical Costs
by Roee Gutman & Christopher C. Afendulis & Alan M. Zaslavsky - 48-68 A Nested Dirichlet Process Analysis of Cluster Randomized Trial Data With Application in Geriatric Care Assessment
by Man-Wai Ho & Wanzhu Tu & Pulak Ghosh & Ram C. Tiwari - 69-80 A Bayesian Graphical Model for ChIP-Seq Data on Histone Modifications
by Riten Mitra & Peter Müller & Shoudan Liang & Lu Yue & Yuan Ji - 81-95 Imputation in High-Dimensional Economic Data as Applied to the Agricultural Resource Management Survey
by Michael W. Robbins & Sujit K. Ghosh & Joshua D. Habiger - 96-110 Reconstructing Past Populations With Uncertainty From Fragmentary Data
by Mark C. Wheldon & Adrian E. Raftery & Samuel J. Clark & Patrick Gerland - 111-123 Sea Surface Temperature Modeling using Radial Basis Function Networks With a Dynamically Weighted Particle Filter
by Duchwan Ryu & Faming Liang & Bani K. Mallick - 124-134 Dynamic Bayesian Forecasting of Presidential Elections in the States
by Drew A. Linzer - 135-148 Effect Modification and Design Sensitivity in Observational Studies
by Jesse Y. Hsu & Dylan S. Small & Paul R. Rosenbaum - 149-164 Estimating Latent Processes on a Network From Indirect Measurements
by Edoardo M. Airoldi & Alexander W. Blocker - 165-176 Selection Adjusted Confidence Intervals With More Power to Determine the Sign
by Asaf Weinstein & William Fithian & Yoav Benjamini - 177-186 Nonparametric Identification and Semiparametric Estimation of Classical Measurement Error Models Without Side Information
by S. M. Schennach & Yingyao Hu - 187-201 Classification via Bayesian Nonparametric Learning of Affine Subspaces
by Garritt Page & Abhishek Bhattacharya & David Dunson - 202-216 Extending the State-Space Model to Accommodate Missing Values in Responses and Covariates
by Arlene Naranjo & A. Alexandre Trindade & George Casella - 217-227 A Unified Approach to Semiparametric Transformation Models Under General Biased Sampling Schemes
by Jane Paik Kim & Wenbin Lu & Tony Sit & Zhiliang Ying - 228-236 On a Principal Varying Coefficient Model
by Qian Jiang & Hansheng Wang & Yingcun Xia & Guohua Jiang - 237-246 On Partial Sufficient Dimension Reduction With Applications to Partially Linear Multi-Index Models
by Zhenghui Feng & Xuerong Meggie Wen & Zhou Yu & Lixing Zhu - 247-264 High-Dimensional Sparse Additive Hazards Regression
by Wei Lin & Jinchi Lv - 265-277 Two-Sample Covariance Matrix Testing and Support Recovery in High-Dimensional and Sparse Settings
by Tony Cai & Weidong Liu & Yin Xia - 278-287 Distribution-Free Prediction Sets
by Jing Lei & James Robins & Larry Wasserman - 288-300 Learning Sparse Causal Gaussian Networks With Experimental Intervention: Regularization and Coordinate Descent
by Fei Fu & Qing Zhou - 301-313 Inferential Models: A Framework for Prior-Free Posterior Probabilistic Inference
by Ryan Martin & Chuanhai Liu - 314-324 Misspecification Testing in a Class of Conditional Distributional Models
by Christoph Rothe & Dominik Wied