Content
September 2013, Volume 108, Issue 503
- 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 - 325-339 A Resampling-Based Stochastic Approximation Method for Analysis of Large Geostatistical Data
by Faming Liang & Yichen Cheng & Qifan Song & Jincheol Park & Ping Yang - 340-352 On Sampling Strategies in Bayesian Variable Selection Problems With Large Model Spaces
by G. García-donato & M. A. Martínez-beneito
December 2012, Volume 107, Issue 500
- 1259-1271 A Bayesian Model of NMR Spectra for the Deconvolution and Quantification of Metabolites in Complex Biological Mixtures
by William Astle & Maria De Iorio & Sylvia Richardson & David Stephens & Timothy Ebbels - 1272-1285 A Nonparametric Regression Model With Tree-Structured Response
by Yuan Wang & J. S. Marron & Burcu Aydin & Alim Ladha & Elizabeth Bullitt & Haonan Wang - 1286-1296 Direct Simultaneous Inference in Additive Models and Its Application to Model Undernutrition
by Manuel Wiesenfarth & Tatyana Krivobokova & Stephan Klasen & Stefan Sperlich - 1297-1309 Functional Causal Mediation Analysis With an Application to Brain Connectivity
by Martin A. Lindquist - 1310-1323 Measurement Error Case Series Models With Application to Infection-Cardiovascular Risk in Older Patients on Dialysis
by Sandra M. Mohammed & Damla Şentürk & Lorien S. Dalrymple & Danh V. Nguyen - 1324-1338 Nonparametric Estimation for Censored Mixture Data With Application to the Cooperative Huntington’s Observational Research Trial
by Yuanjia Wang & Tanya P. Garcia & Yanyuan Ma - 1339-1359 A Stochastic Model for Calibrating the Survival Benefit of Screen-Detected Cancers
by Hsiu-Hsi Chen & Amy Ming-Fang Yen & Laszlo Tabár - 1360-1371 Using Mixed Integer Programming for Matching in an Observational Study of Kidney Failure After Surgery
by José R. Zubizarreta - 1372-1384 Modeling Protein Expression and Protein Signaling Pathways
by Donatello Telesca & Peter Müller & Steven M. Kornblau & Marc A. Suchard & Yuan Ji - 1385-1394 Estimating Identification Disclosure Risk Using Mixed Membership Models
by Daniel Manrique-Vallier & Jerome P. Reiter - 1395-1409 Minkowski--Weyl Priors for Models With Parameter Constraints: An Analysis of the BioCycle Study
by Michelle R. Danaher & Anindya Roy & Zhen Chen & Sunni L. Mumford & Enrique F. Schisterman - 1410-1426 Tracking Epidemics With Google Flu Trends Data and a State-Space SEIR Model
by Vanja Dukic & Hedibert F. Lopes & Nicholas G. Polson - 1427-1440 Modeling Criminal Careers as Departures From a Unimodal Population Age--Crime Curve: The Case of Marijuana Use
by Donatello Telesca & Elena A. Erosheva & Derek A. Kreager & Ross L. Matsueda - 1441-1452 Testing for Gene--Environment and Gene--Gene Interactions Under Monotonicity Constraints
by Summer S. Han & Philip S. Rosenberg & Nilanjan Chatterjee - 1453-1464 Estimation of High Conditional Quantiles for Heavy-Tailed Distributions
by Huixia Judy Wang & Deyuan Li & Xuming He - 1465-1479 SURE Estimates for a Heteroscedastic Hierarchical Model
by Xianchao Xie & S. C. Kou & Lawrence D. Brown - 1480-1491 Positive-Definite ℓ 1 -Penalized Estimation of Large Covariance Matrices
by Lingzhou Xue & Shiqian Ma & Hui Zou - 1492-1501 Landmark Prediction of Long-Term Survival Incorporating Short-Term Event Time Information
by Layla Parast & Su-Chun Cheng & Tianxi Cai - 1502-1509 Interactions in the Analysis of Variance
by P. L. Davies - 1510-1517 Correct Ordering in the Zipf--Poisson Ensemble
by Justin S. Dyer & Art B. Owen - 1533-1545 Sparse Reduced-Rank Regression for Simultaneous Dimension Reduction and Variable Selection
by Lisha Chen & Jianhua Z. Huang - 1558-1574 A Multiresolution Method for Parameter Estimation of Diffusion Processes
by S. C. Kou & Benjamin P. Olding & Martin Lysy & Jun S. Liu - 1575-1589 AdaptSPEC: Adaptive Spectral Estimation for Nonstationary Time Series
by Ori Rosen & Sally Wood & David S. Stoffer - 1599-1609 Modeling Repeated Functional Observations
by Kehui Chen & Hans-Georg Müller - 1610-1624 Consistent High-Dimensional Bayesian Variable Selection via Penalized Credible Regions
by Howard D. Bondell & Brian J. Reich - 1625-1637 A Semiparametric Change-Point Regression Model for Longitudinal Observations
by Haipeng Xing & Zhiliang Ying - 1638-1652 Instrumental Variable Estimators for Binary Outcomes
by Paul S. Clarke & Frank Windmeijer
September 2012, Volume 107, Issue 499
- 855-865 Bayesian Spatio-Dynamic Modeling in Cell Motility Studies: Learning Nonlinear Taxic Fields Guiding the Immune Response
by Ioanna Manolopoulou & Melanie P. Matheu & Michael D. Cahalan & Mike West & Thomas B. Kepler - 875-885 Multilevel Bayesian Models for Survival Times and Longitudinal Patient-Reported Outcomes With Many Zeros
by Laura A. Hatfield & Mark E. Boye & Michelle D. Hackshaw & Bradley P. Carlin - 886-900 Structural Nested Cumulative Failure Time Models to Estimate the Effects of Interventions
by Sally Picciotto & Miguel A. Hernán & John H. Page & Jessica G. Young & James M. Robins - 901-915 Contrasting Evidence Within and Between Institutions That Provide Treatment in an Observational Study of Alternate Forms of Anesthesia
by José R. Zubizarreta & Mark Neuman & Jeffrey H. Silber & Paul R. Rosenbaum - 916-934 A Multiscale Community Blockmodel for Network Exploration
by Qirong Ho & Ankur P. Parikh & Eric P. Xing - 935-945 Searching for Alternative Splicing With a Joint Model on Probe Measurability and Expression Intensities
by Jianhua Hu & Xuming He - 946-957 Composite Partial Likelihood Estimation Under Length-Biased Sampling, With Application to a Prevalent Cohort Study of Dementia
by Chiung-yu Huang & Jing Qin - 958-975 Identifying the Effects of SNAP (Food Stamps) on Child Health Outcomes When Participation Is Endogenous and Misreported
by Brent Kreider & John V. Pepper & Craig Gundersen & Dean Jolliffe - 976-989 Modeling of Multivariate Monotone Disease Processes in the Presence of Misclassification
by María José García-Zattera & Alejandro Jara & Emmanuel Lesaffre & Guillermo Marshall - 990-1003 A Class of Discrete Transformation Survival Models With Application to Default Probability Prediction
by A. Adam Ding & Shaonan Tian & Yan Yu & Hui Guo - 1004-1018 Spatial Statistical Data Fusion for Remote Sensing Applications
by Hai Nguyen & Noel Cressie & Amy Braverman - 1049-1062 Likelihood-Based EWMA Charts for Monitoring Poisson Count Data With Time-Varying Sample Sizes
by Qin Zhou & Changliang Zou & Zhaojun Wang & Wei Jiang - 1063-1072 Pair Copula Constructions for Multivariate Discrete Data
by Anastasios Panagiotelis & Claudia Czado & Harry Joe - 1073-1084 The Hybrid Wild Bootstrap for Time Series
by Jens-peter Kreiss & Efstathios Paparoditis - 1085-1095 Nonparametric Construction of Multivariate Kernels
by Victor M. Panaretos & Kjell Konis - 1096-1105 Inference on the Order of a Normal Mixture
by Jiahua Chen & Pengfei Li & Yuejiao Fu - 1106-1118 Estimating Individualized Treatment Rules Using Outcome Weighted Learning
by Yingqi Zhao & Donglin Zeng & A. John Rush & Michael R. Kosorok - 1119-1128 A Consistent Adjacency Spectral Embedding for Stochastic Blockmodel Graphs
by Daniel L. Sussman & Minh Tang & Donniell E. Fishkind & Carey E. Priebe - 1129-1139 Feature Screening via Distance Correlation Learning
by Runze Li & Wei Zhong & Liping Zhu - 1140-1151 Optimal Designs for Quantile Regression Models
by Holger Dette & Matthias Trampisch - 1152-1165 Statistical Modeling of Curves Using Shapes and Related Features
by Sebastian Kurtek & Anuj Srivastava & Eric Klassen & Zhaohua Ding - 1166-1177 Deconvolution When Classifying Noisy Data Involving Transformations
by Raymond Carroll & Aurore Delaigle & Peter Hall - 1178-1186 Robust Estimation of Multivariate Location and Scatter in the Presence of Missing Data
by Mike Danilov & Víctor J. Yohai & Ruben H. Zamar - 1187-1200 Sparse Matrix Graphical Models
by Chenlei Leng & Cheng Yong Tang - 1217-1229 Mode Identification of Volatility in Time-Varying Autoregression
by Gabriel Chandler & Wolfgang Polonik - 1239-1252 Generalized Measures of Correlation for Asymmetry, Nonlinearity, and Beyond
by Shurong Zheng & Ning-Zhong Shi & Zhengjun Zhang
June 2012, Volume 107, Issue 498
- 439-449 Nonparametric Bayesian Multiple Imputation for Missing Data Due to Mid-Study Switching of Measurement Methods
by Lane F. Burgette & Jerome P. Reiter - 450-466 Evaluating the Effect of Training on Wages in the Presence of Noncompliance, Nonemployment, and Missing Outcome Data
by Paolo Frumento & Fabrizia Mealli & Barbara Pacini & Donald B. Rubin - 467-476 Application of Branching Models in the Study of Invasive Species
by Earvin Balderama & Frederic Paik Schoenberg & Erin Murray & Philip W. Rundel - 477-492 Topological Analysis of Variance and the Maxillary Complex
by Giseon Heo & Jennifer Gamble & Peter T. Kim - 493-508 Evaluation of Viable Dynamic Treatment Regimes in a Sequentially Randomized Trial of Advanced Prostate Cancer
by Lu Wang & Andrea Rotnitzky & Xihong Lin & Randall E. Millikan & Peter F. Thall - 509-512 Comment
by Daniel Almirall & Daniel J. Lizotte & Susan A. Murphy - 513-517 Comment
by Paul Chaffee & Mark van der Laan - 518-520 Rejoinder
by Lu Wang & Andrea Rotnitzky & Xihong Lin & Randall E. Millikan & Peter F. Thall - 521-529 Does Marriage Boost Men’s Wages?: Identification of Treatment Effects in Fixed Effects Regression Models for Panel Data
by Michael E. Sobel - 530-541 Inference With Interference Between Units in an fMRI Experiment of Motor Inhibition
by Xi Luo & Dylan S. Small & Chiang-Shan R. Li & Paul R. Rosenbaum - 542-554 Evaluating the Effect of Early Versus Late ARV Regimen Change if Failure on an Initial Regimen: Results From the AIDS Clinical Trials Group Study A5095
by Li Li & Joseph J. Eron & Heather Ribaudo & Roy M. Gulick & Brent A. Johnson - 555-567 Meta-Analysis of Rare Binary Adverse Event Data
by Dulal K. Bhaumik & Anup Amatya & Sharon-Lise T. Normand & Joel Greenhouse & Eloise Kaizar & Brian Neelon & Robert D. Gibbons - 568-577 Spatio-Spectral Mixed-Effects Model for Functional Magnetic Resonance Imaging Data
by Hakmook Kang & Hernando Ombao & Crystal Linkletter & Nicole Long & David Badre - 578-591 Clustering, Spatial Correlations, and Randomization Inference
by Thomas Barrios & Rebecca Diamond & Guido W. Imbens & Michal Kolesár - 592-606 Vast Portfolio Selection With Gross-Exposure Constraints
by Jianqing Fan & Jingjin Zhang & Ke Yu - 607-621 The Variance Profile
by Alessandra Luati & Tommaso Proietti & Marco Reale - 622-635 Inverse Realized Laplace Transforms for Nonparametric Volatility Density Estimation in Jump-Diffusions
by Viktor Todorov & George Tauchen - 636-648 Objective Priors for Discrete Parameter Spaces
by James O. Berger & Jose M. Bernardo & Dongchu Sun - 649-660 Bayesian Model Selection in High-Dimensional Settings
by Valen E. Johnson & David Rossell - 661-672 Moderate-Deviation-Based Inference for Random Degeneration in Paired Rank Lists
by Peter Hall & Michael G. Schimek - 673-687 Multiple Testing of Composite Null Hypotheses in Heteroscedastic Models
by Wenguang Sun & Alexander C. McLain - 688-700 Joint Analysis of Longitudinal Data With Informative Observation Times and a Dependent Terminal Event
by Liuquan Sun & Xinyuan Song & Jie Zhou & Lei Liu - 701-710 Informative Estimation and Selection of Correlation Structure for Longitudinal Data
by Jianhui Zhou & Annie Qu - 711-724 Mixture of Regression Models With Varying Mixing Proportions: A Semiparametric Approach
by Mian Huang & Weixin Yao - 725-736 Conditional Inference Functions for Mixed-Effects Models With Unspecified Random-Effects Distribution
by Peng Wang & Guei-feng Tsai & Annie Qu - 737-753 DD -Classifier: Nonparametric Classification Procedure Based on DD -Plot
by Jun Li & Juan A. Cuesta-Albertos & Regina Y. Liu - 754-764 A Studentized Permutation Test for the Comparison of Spatial Point Patterns
by Ute Hahn - 765-776 Quantile Periodograms
by Ta-Hsin Li - 777-787 New Weighted Portmanteau Statistics for Time Series Goodness of Fit Testing
by Thomas J. Fisher & Colin M. Gallagher - 788-799 The Geometry of Nonparametric Filament Estimation
by Christopher R. Genovese & Marco Perone-Pacifico & Isabella Verdinelli & Larry Wasserman - 800-813 Smooth Blockwise Iterative Thresholding: A Smooth Fixed Point Estimator Based on the Likelihood’s Block Gradient
by Sylvain Sardy - 814-823 Structured, Sparse Aggregation
by Daniel Percival - 833-843 A Martingale Representation for Matching Estimators
by Alberto Abadie & Guido W. Imbens - 844-844 Testing for Trend in the Presence of Autoregressive Error: A Comment
by Pierre Perron & Tomoyoshi Yabu
March 2012, Volume 107, Issue 497
- 1-11 Nonparametric Covariate-Adjusted Association Tests Based on the Generalized Kendall's Tau
by Wensheng Zhu & Yuan Jiang & Heping Zhang - 12-23 Intrinsic Regression Models for Medial Representation of Subcortical Structures
by Xiaoyan Shi & Hongtu Zhu & Joseph G. Ibrahim & Faming Liang & Jeffrey Lieberman & Martin Styner - 24-39 Modeling Waves of Extreme Temperature: The Changing Tails of Four Cities
by Debbie J. Dupuis - 40-51 Adjustment for Missing Confounders Using External Validation Data and Propensity Scores
by Lawrence C. McCandless & Sylvia Richardson & Nicky Best - 52-65 Partially Hidden Markov Model for Time-Varying Principal Stratification in HIV Prevention Trials
by James Y. Dai & Peter B. Gilbert & Benoît R. Mâsse - 66-79 Using Conditional Kernel Density Estimation for Wind Power Density Forecasting
by Jooyoung Jeon & James W. Taylor - 80-92 Bayesian Inference for Dynamic Treatment Regimes: Mobility, Equity, and Efficiency in Student Tracking
by Tristan Zajonc - 93-101 Bayesian Estimation and Prediction for Inhomogeneous Spatiotemporal Log-Gaussian Cox Processes Using Low-Rank Models, With Application to Criminal Surveillance
by Alexandre Rodrigues & Peter J. Diggle - 135-151 Cross-Dimensional Inference of Dependent High-Dimensional Data
by Keyur H. Desai & John D. Storey - 152-167 Sparse Estimation of Conditional Graphical Models With Application to Gene Networks
by Bing Li & Hyonho Chun & Hongyu Zhao - 168-179 A Semiparametric Approach to Dimension Reduction
by Yanyuan Ma & Liping Zhu - 180-193 A Valid Matérn Class of Cross-Covariance Functions for Multivariate Random Fields With Any Number of Components
by Tatiyana V. Apanasovich & Marc G. Genton & Ying Sun - 194-204 Multiple Imputation for M -Regression With Censored Covariates
by Huixia Judy Wang & Xingdong Feng - 205-213 Information Ratio Test for Model Misspecification in Quasi-Likelihood Inference
by Qian M. Zhou & Peter X.-K. Song & Mary E. Thompson - 214-222 Quantile Regression for Analyzing Heterogeneity in Ultra-High Dimension
by Lan Wang & Yichao Wu & Runze Li - 223-232 Likelihood-Based Selection and Sharp Parameter Estimation
by Xiaotong Shen & Wei Pan & Yunzhang Zhu - 233-246 Block Bootstraps for Time Series With Fixed Regressors
by Daniel J. Nordman & Soumendra N. Lahiri - 247-257 Semiparametric Double Balancing Score Estimation for Incomplete Data With Ignorable Missingness
by Zonghui Hu & Dean A. Follmann & Jing Qin - 258-267 One-Sided and Two-Sided Tolerance Intervals in General Mixed and Random Effects Models Using Small-Sample Asymptotics
by Gaurav Sharma & Thomas Mathew - 268-280 Estimating Space and Space-Time Covariance Functions for Large Data Sets: A Weighted Composite Likelihood Approach
by Moreno Bevilacqua & Carlo Gaetan & Jorge Mateu & Emilio Porcu - 281-289 Modeling Nonstationary Processes Through Dimension Expansion
by Luke Bornn & Gavin Shaddick & James V. Zidek - 290-303 Estimation of Copula Models With Discrete Margins via Bayesian Data Augmentation
by Michael S. Smith & Mohamad A. Khaled - 304-317 A Heckman Selection- t Model
by Yulia V. Marchenko & Marc G. Genton - 318-330 Estimating Regression Parameters in an Extended Proportional Odds Model
by Ying Qing Chen & Nan Hu & Su-Chun Cheng & Philippa Musoke & Lue Ping Zhao - 331-340 Recursively Imputed Survival Trees
by Ruoqing Zhu & Michael R. Kosorok - 341-348 Interim Design Modifications in Time-to-Event Studies
by Sebastian Irle & Helmut Schäfer - 349-361 On Fractile Transformation of Covariates in Regression
by Bodhisattva Sen & Probal Chaudhuri - 362-377 Simplex Factor Models for Multivariate Unordered Categorical Data
by Anirban Bhattacharya & David B. Dunson - 378-392 Bootstrapping for Significance of Compact Clusters in Multidimensional Datasets
by Ranjan Maitra & Volodymyr Melnykov & Soumendra N. Lahiri - 393-399 Sliced Latin Hypercube Designs
by Peter Z. G. Qian - 400-411 Optimal Designs for Rational Function Regression
by Dávid Papp - 412-428 Vast Volatility Matrix Estimation Using High-Frequency Data for Portfolio Selection
by Jianqing Fan & Yingying Li & Ke Yu
June 2011, Volume 107, Issue 498
- 824-832 Probabilistic Foundation of Confirmatory Adaptive Designs
by W. Brannath & G. Gutjahr & P. Bauer
September 2008, Volume 103, Issue 482
- 437-446 Estimating Incumbency Advantage and Its Variation, as an Example of a Before–After Study
by Andrew Gelman & Zaiying Huang