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Content
June 2015, Volume 110, Issue 510
- 503-514 MAD Bayes for Tumor Heterogeneity--Feature Allocation With Exponential Family Sampling
by Yanxun Xu & Peter Müller & Yuan Yuan & Kamalakar Gulukota & Yuan Ji - 515-527 Large, Sparse Optimal Matching With Refined Covariate Balance in an Observational Study of the Health Outcomes Produced by New Surgeons
by Samuel D. Pimentel & Rachel R. Kelz & Jeffrey H. Silber & Paul R. Rosenbaum - 528-544 Bayesian Inference for Multivariate Meta-Regression With a Partially Observed Within-Study Sample Covariance Matrix
by Hui Yao & Sungduk Kim & Ming-Hui Chen & Joseph G. Ibrahim & Arvind K. Shah & Jianxin Lin - 545-559 Unifying Amplitude and Phase Analysis: A Compositional Data Approach to Functional Multivariate Mixed-Effects Modeling of Mandarin Chinese
by P. Z. Hadjipantelis & J. A. D. Aston & H. G. Müller & J. P. Evans - 560-572 Analysis of Sequence Data Under Multivariate Trait-Dependent Sampling
by Ran Tao & Donglin Zeng & Nora Franceschini & Kari E. North & Eric Boerwinkle & Dan-Yu Lin - 573-582 Joint Bayesian Modeling of Binomial and Rank Data for Primate Cognition
by Bradley J. Barney & Federica Amici & Filippo Aureli & Josep Call & Valen E. Johnson - 583-598 New Statistical Learning Methods for Estimating Optimal Dynamic Treatment Regimes
by Ying-Qi Zhao & Donglin Zeng & Eric B. Laber & Michael R. Kosorok - 599-611 Foundations for Envelope Models and Methods
by R. Dennis Cook & Xin Zhang - 612-620 Post-Fisherian Experimentation: From Physical to Virtual
by C. F. Jeff Wu - 621-629 Semiparametric Accelerated Failure Time Modeling for Clustered Failure Times From Stratified Sampling
by Sy Han Chiou & Sangwook Kang & Jun Yan - 630-641 Model-Free Feature Screening for Ultrahigh Dimensional Discriminant Analysis
by Hengjian Cui & Runze Li & Wei Zhong - 642-653 Nonparametric K -Sample Tests via Dynamic Slicing
by Bo Jiang & Chao Ye & Jun S. Liu - 654-668 Detection of Multiple Structural Breaks in Multivariate Time Series
by Philip Preuss & Ruprecht Puchstein & Holger Dette - 669-680 Testing Hypotheses of Covariate-Adaptive Randomized Clinical Trials
by Wei Ma & Feifang Hu & Lixin Zhang - 681-696 Functional and Structural Methods With Mixed Measurement Error and Misclassification in Covariates
by Grace Y. Yi & Yanyuan Ma & Donna Spiegelman & Raymond J. Carroll - 697-710 Objective Bayesian Survival Analysis Using Shape Mixtures of Log-Normal Distributions
by Catalina A. Vallejos & Mark F. J. Steel - 711-722 Bayesian Dose-Finding in Two Treatment Cycles Based on the Joint Utility of Efficacy and Toxicity
by Juhee Lee & Peter F. Thall & Yuan Ji & Peter Müller - 723-741 Efficient Quantile Regression Analysis With Missing Observations
by Xuerong Chen & Alan T. K. Wan & Yong Zhou - 742-759 Matching a Distribution by Matching Quantiles Estimation
by Nikolaos Sgouropoulos & Qiwei Yao & Claudia Yastremiz - 760-772 Generalized Fiducial Inference for Ultrahigh-Dimensional Regression
by Randy C. S. Lai & Jan Hannig & Thomas C. M. Lee - 773-783 An Improved Transformation-Based Kernel Estimator of Densities on the Unit Interval
by Kuangyu Wen & Ximing Wu - 784-794 LADE-Based Inference for ARMA Models With Unspecified and Heavy-Tailed Heteroscedastic Noises
by Ke Zhu & Shiqing Ling - 795-809 Scalable Bayesian Model Averaging Through Local Information Propagation
by Li Ma - 810-823 Clustering from Categorical Data Sequences
by Harry Crane - 824-836 Index Models for Sparsely Sampled Functional Data
by Peter Radchenko & Xinghao Qiao & Gareth M. James - 837-849 A Two-Sample Test for Equality of Means in High Dimension
by Karl Bruce Gregory & Raymond J. Carroll & Veerabhadran Baladandayuthapani & Soumendra N. Lahiri - 850-866 Statistical Analysis of Q -Matrix Based Diagnostic Classification Models
by Yunxiao Chen & Jingchen Liu & Gongjun Xu & Zhiliang Ying - 867-877 Likelihood Ratio Test for Multi-Sample Mixture Model and Its Application to Genetic Imprinting
by Shaoting Li & Jiahua Chen & Jianhua Guo & Bing-Yi Jing & Shui-Ying Tsang & Hong Xue
March 2015, Volume 110, Issue 509
- 1-5 Why Your Involvement Matters
by Nathaniel Schenker - 6-15 A Spatio-Temporal Point Process Model for Ambulance Demand
by Zhengyi Zhou & David S. Matteson & Dawn B. Woodard & Shane G. Henderson & Athanasios C. Micheas - 16-26 Risk-Adjusted Cumulative Sum Charting Procedure Based on Multiresponses
by Xu Tang & Fah F. Gan & Lingyun Zhang - 27-44 Estimating a Structured Covariance Matrix From Multilab Measurements in High-Throughput Biology
by Alexander M. Franks & Gábor Csárdi & D. Allan Drummond & Edoardo M. Airoldi - 45-55 A Flexible Bayesian Approach to Monotone Missing Data in Longitudinal Studies With Nonignorable Missingness With Application to an Acute Schizophrenia Clinical Trial
by Antonio R. Linero & Michael J. Daniels - 56-67 Power Curve Estimation With Multivariate Environmental Factors for Inland and Offshore Wind Farms
by Giwhyun Lee & Yu Ding & Marc G. Genton & Le Xie - 68-82 Calibration of Computational Models With Categorical Parameters and Correlated Outputs via Bayesian Smoothing Spline ANOVA
by Curtis B. Storlie & William A. Lane & Emily M. Ryan & James R. Gattiker & David M. Higdon - 83-92 What Happens Depends on When It Happens: Copula-Based Ordered Event History Analysis of Civil War Duration and Outcome
by Kentaro Fukumoto - 93-106 A Dynamic Directional Model for Effective Brain Connectivity Using Electrocorticographic (ECoG) Time Series
by Tingting Zhang & Jingwei Wu & Fan Li & Brian Caffo & Dana Boatman-Reich - 107-122 Simulating and Analyzing Order Book Data: The Queue-Reactive Model
by Weibing Huang & Charles-Albert Lehalle & Mathieu Rosenbaum - 123-135 An Analysis of an Incomplete Marked Point Pattern of Heat-Related 911 Calls
by Matthew J. Heaton & Stephan R. Sain & Andrew J. Monaghan & Olga V. Wilhelmi & Mary H. Hayden - 136-148 Robust Principal Component Analysis for Power Transformed Compositional Data
by J. L. Scealy & Patrice de Caritat & Eric C. Grunsky & Michail T. Tsagris & A. H. Welsh - 149-158 Multi-Agent Inference in Social Networks: A Finite Population Learning Approach
by Jianqing Fan & Xin Tong & Yao Zeng - 159-174 Bayesian Inference of Multiple Gaussian Graphical Models
by Christine Peterson & Francesco C. Stingo & Marina Vannucci - 175-194 Homogeneity Pursuit
by Zheng Tracy Ke & Jianqing Fan & Yichao Wu - 195-204 A Unifying Model for Capture-Recapture and Distance Sampling Surveys of Wildlife Populations
by D. L. Borchers & B. C. Stevenson & D. Kidney & L. Thomas & T. A. Marques - 205-217 Bahadur Efficiency of Sensitivity Analyses in Observational Studies
by Paul R. Rosenbaum - 218-232 R -Estimation for Asymmetric Independent Component Analysis
by Marc Hallin & Chintan Mehta - 233-245 Model-Robust Designs for Quantile Regression
by Linglong Kong & Douglas P. Wiens - 246-261 Quantile Correlations and Quantile Autoregressive Modeling
by Guodong Li & Yang Li & Chih-Ling Tsai - 262-269 Tuning Parameter Selection for the Adaptive Lasso Using ERIC
by Francis K. C. Hui & David I. Warton & Scott D. Foster - 270-288 Regularization Methods for High-Dimensional Instrumental Variables Regression With an Application to Genetical Genomics
by Wei Lin & Rui Feng & Hongzhe Li - 289-302 SPReM: Sparse Projection Regression Model For High-Dimensional Linear Regression
by Qiang Sun & Hongtu Zhu & Yufeng Liu & Joseph G. Ibrahim - 303-312 Inference for Subgroup Analysis With a Structured Logistic-Normal Mixture Model
by Juan Shen & Xuming He - 313-325 Semiparametric Relative-Risk Regression for Infectious Disease Transmission Data
by Eben Kenah - 326-340 Multivariate Meta-Analysis of Heterogeneous Studies Using Only Summary Statistics: Efficiency and Robustness
by Dungang Liu & Regina Y. Liu & Minge Xie - 341-356 Varying Index Coefficient Models
by Shujie Ma & Peter X.-K. Song - 357-367 A Unified Family of Covariate-Adjusted Response-Adaptive Designs Based on Efficiency and Ethics
by Jianhua Hu & Hongjian Zhu & Feifang Hu - 368-379 Size and Shape Analysis of Error-Prone Shape Data
by Jiejun Du & Ian L. Dryden & Xianzheng Huang - 378-392 On the Prediction of Stationary Functional Time Series
by Alexander Aue & Diogo Dubart Norinho & Siegfried Hörmann - 393-404 Risk Classification With an Adaptive Naive Bayes Kernel Machine Model
by Jessica Minnier & Ming Yuan & Jun S. Liu & Tianxi Cai - 405-419 Bayesian Generalized Additive Models for Location, Scale, and Shape for Zero-Inflated and Overdispersed Count Data
by Nadja Klein & Thomas Kneib & Stefan Lang - 420-434 Sufficient Reductions in Regressions With Elliptically Contoured Inverse Predictors
by Efstathia Bura & Liliana Forzani - 435-448 Decoupling Shrinkage and Selection in Bayesian Linear Models: A Posterior Summary Perspective
by P. Richard Hahn & Carlos M. Carvalho - 457-457 Letter To the Editor
by Stephen E. Fienberg & James S. Hodges & Liying Luo - 457-457 Reply
by Y. Claire Yang & Kenneth C. Land - 458-458 Reply
by Wenjiang J. Fu
December 2014, Volume 109, Issue 508
- 1339-1349 Sparse Semiparametric Nonlinear Model With Application to Chromatographic Fingerprints
by Michael R. Wierzbicki & Li-Bing Guo & Qing-Tao Du & Wensheng Guo - 1349-1350 Comment
by Pang Du - 1350-1353 Comment
by Huaihou Chen & Donglin Zeng - 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