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Content
December 2014, Volume 109, Issue 508
- 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
September 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
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