Printed from https://ideas.repec.org/s/taf/jnlasa10.html
Content
April 2016, Volume 111, Issue 514
- 846-860 Fast, Exact Bootstrap Principal Component Analysis for > 1 Million
by Aaron Fisher & Brian Caffo & Brian Schwartz & Vadim Zipunnikov - 861-874 Using a Monotonic Density Ratio Model to Find the Asymptotically Optimal Combination of Multiple Diagnostic Tests
by Baojiang Chen & Pengfei Li & Jing Qin & Tao Yu - 875-887 Active Clinical Trials for Personalized Medicine
by Stanislav Minsker & Ying-Qi Zhao & Guang Cheng - 888-898 Spatio-Temporal Covariance and Cross-Covariance Functions of the Great Circle Distance on a Sphere
by Emilio Porcu & Moreno Bevilacqua & Marc G. Genton - 899-911 I-Optimal Design of Mixture Experiments
by Peter Goos & Bradley Jones & Utami Syafitri - 912-919 Book Reviews
by The Editors
March 2016, Volume 111, Issue 513
- 1-13 A Functional Approach to Deconvolve Dynamic Neuroimaging Data
by Ci-Ren Jiang & John A. D. Aston & Jane-Ling Wang - 14-26 A Bayesian Partial Identification Approach to Inferring the Prevalence of Accounting Misconduct
by P. Richard Hahn & Jared S. Murray & Ioanna Manolopoulou - 27-42 Meta-Analytic Framework for Sparse K -Means to Identify Disease Subtypes in Multiple Transcriptomic Studies
by Zhiguang Huo & Ying Ding & Silvia Liu & Steffi Oesterreich & George Tseng - 43-56 Collective Estimation of Multiple Bivariate Density Functions With Application to Angular-Sampling-Based Protein Loop Modeling
by Mehdi Maadooliat & Lan Zhou & Seyed Morteza Najibi & Xin Gao & Jianhua Z. Huang - 57-72 Calibrating an Ice Sheet Model Using High-Dimensional Binary Spatial Data
by Won Chang & Murali Haran & Patrick Applegate & David Pollard - 73-92 Perturbation Detection Through Modeling of Gene Expression on a Latent Biological Pathway Network: A Bayesian Hierarchical Approach
by Lisa M. Pham & Luis Carvalho & Scott Schaus & Eric D. Kolaczyk - 93-106 A Model-Based Approach to Climate Reconstruction Using Tree-Ring Data
by Matthew R. Schofield & Richard J. Barker & Andrew Gelman & Edward R. Cook & Keith R. Briffa - 107-117 Constrained Maximum Likelihood Estimation for Model Calibration Using Summary-Level Information From External Big Data Sources
by Nilanjan Chatterjee & Yi-Hau Chen & Paige Maas & Raymond J. Carroll - 118-121 Comment
by Peisong Han & Jerald F. Lawless - 121-122 Comment
by Sebastien Haneuse & Claudia Rivera - 123-124 Comment
by Thomas A. Louis & Niels Keiding - 124-127 Comment: A Human Genetics Perspective
by Joel A. Mefford & Noah A. Zaitlen & John S. Witte - 127-129 Comment: Addressing the Need for Portability in Big Data Model Building and Calibration
by Chirag J. Patel & Francesca Dominici - 130-131 Rejoinder
by Nilanjan Chatterjee & Yi-Hau Chen & Paige Maas & Raymond J. Carroll - 132-144 Instrumental Variables Estimation With Some Invalid Instruments and its Application to Mendelian Randomization
by Hyunseung Kang & Anru Zhang & T. Tony Cai & Dylan S. Small - 145-156 Generalizing Quantile Regression for Counting Processes With Applications to Recurrent Events
by Xiaoyan Sun & Limin Peng & Yijian Huang & HuiChuan J. Lai - 157-168 A Potential Tale of Two-by-Two Tables From Completely Randomized Experiments
by Peng Ding & Tirthankar Dasgupta - 169-179 Ultrahigh-Dimensional Multiclass Linear Discriminant Analysis by Pairwise Sure Independence Screening
by Rui Pan & Hansheng Wang & Runze Li - 180-199 Constrained Estimators and Consistency of a Regression Model on a Lexis Diagram
by Wenjiang Fu - 200-215 Statistical Inference in Hidden Markov Models Using k -Segment Constraints
by Michalis K. Titsias & Christopher C. Holmes & Christopher Yau - 216-228 Pairwise Likelihood Inference for Nested Hidden Markov Chain Models for Multilevel Longitudinal Data
by Francesco Bartolucci & Monia Lupparelli - 229-240 Large-Scale Multiple Testing of Correlations
by T. Tony Cai & Weidong Liu - 241-252 Personalized Prediction and Sparsity Pursuit in Latent Factor Models
by Yunzhang Zhu & Xiaotong Shen & Changqing Ye - 253-265 Minimax and Adaptive Estimation of Covariance Operator for Random Variables Observed on a Lattice Graph
by T. Tony Cai & Ming Yuan - 266-274 Estimation and Testing of Varying Coefficients in Quantile Regression
by Xingdong Feng & Liping Zhu - 275-287 Feature Augmentation via Nonparametrics and Selection (FANS) in High-Dimensional Classification
by Jianqing Fan & Yang Feng & Jiancheng Jiang & Xin Tong - 288-297 Spline-Lasso in High-Dimensional Linear Regression
by Jianhua Guo & Jianchang Hu & Bing-Yi Jing & Zhen Zhang - 298-313 Efficient Sequential Monte Carlo With Multiple Proposals and Control Variates
by Wentao Li & Rong Chen & Zhiqiang Tan - 314-330 Stepwise Signal Extraction via Marginal Likelihood
by Chao Du & Chu-Lan Michael Kao & S. C. Kou - 331-343 Hierarchical Testing in the High-Dimensional Setting With Correlated Variables
by Jacopo Mandozzi & Peter Bühlmann - 344-354 Quantile Regression in the Secondary Analysis of Case--Control Data
by Ying Wei & Xiaoyu Song & Mengling Liu & Iuliana Ionita-Laza & Joan Reibman - 355-376 Variable Selection With Prior Information for Generalized Linear Models via the Prior LASSO Method
by Yuan Jiang & Yunxiao He & Heping Zhang - 377-393 An Adaptive Exchange Algorithm for Sampling From Distributions With Intractable Normalizing Constants
by Faming Liang & Ick Hoon Jin & Qifan Song & Jun S. Liu - 394-406 Asymptotically Normal and Efficient Estimation of Covariate-Adjusted Gaussian Graphical Model
by Mengjie Chen & Zhao Ren & Hongyu Zhao & Harrison Zhou - 407-422 Estimating Variance Components in Functional Linear Models With Applications to Genetic Heritability
by Matthew Reimherr & Dan Nicolae - 423-437 Extended MaxT Tests of One-Sided Hypotheses
by Zeng-Hua Lu
December 2015, Volume 110, Issue 512
- 1325-1330 Statistics: Making Better Decisions
by David Morganstein - 1331-1344 Wanna Get Away? Regression Discontinuity Estimation of Exam School Effects Away From the Cutoff
by Joshua D. Angrist & Miikka Rokkanen - 1345-1347 Comment
by Michael G. Hudgens - 1347-1348 Comment
by Thomas Lemieux - 1348-1349 Rejoinder
by Joshua D. Angrist & Miikka Rokkanen - 1350-1361 Bayesian Partition Models for Identifying Expression Quantitative Trait Loci
by Bo Jiang & Jun S. Liu - 1362-1374 Bayesian Phylogenetic Inference Using a Combinatorial Sequential Monte Carlo Method
by Liangliang Wang & Alexandre Bouchard-Côté & Arnaud Doucet - 1375-1388 Temporal Autocorrelation-Based Beamforming With MEG Neuroimaging Data
by Jian Zhang & Li Su - 1389-1398 Some Counterclaims Undermine Themselves in Observational Studies
by Paul R. Rosenbaum - 1399-1411 Randomized Controlled Field Trials of Predictive Policing
by G. O. Mohler & M. B. Short & Sean Malinowski & Mark Johnson & G. E. Tita & Andrea L. Bertozzi & P. J. Brantingham - 1412-1421 Rerandomization to Balance Tiers of Covariates
by Kari Lock Morgan & Donald B. Rubin - 1422-1433 An Adaptive Resampling Test for Detecting the Presence of Significant Predictors
by Ian W. McKeague & Min Qian - 1434-1438 Comment
by A. Chatterjee & S. N. Lahiri - 1439-1442 Comment
by Rajen D. Shah & Richard J. Samworth - 1442-1445 Comment
by Emre Barut & Huixia Judy Wang - 1446-1449 Comment
by Lawrence D. Brown & Daniel McCarthy - 1449-1451 Comment
by Alexandre Belloni & Victor Chernozhukov - 1451-1454 Comment
by Yichi Zhang & Eric B. Laber - 1455-1456 Comment
by Sai Li & Ritwik Mitra & Cun-Hui Zhang - 1457-1459 Comment
by Hannes Leeb - 1459-1462 Rejoinder
by Ian W. McKeague & Min Qian - 1463-1478 A Simple Formula for Mixing Estimators With Different Convergence Rates
by Stephen S. M. Lee & Mehdi Soleymani - 1479-1490 Dirichlet--Laplace Priors for Optimal Shrinkage
by Anirban Bhattacharya & Debdeep Pati & Natesh S. Pillai & David B. Dunson - 1491-1499 Exact Optimal Confidence Intervals for Hypergeometric Parameters
by Weizhen Wang - 1500-1514 Bayesian Compressed Regression
by Rajarshi Guhaniyogi & David B. Dunson - 1515-1527 Groupwise Dimension Reduction via Envelope Method
by Zifang Guo & Lexin Li & Wenbin Lu & Bing Li - 1528-1542 Uniformly Semiparametric Efficient Estimation of Treatment Effects With a Continuous Treatment
by Antonio F. Galvao & Liang Wang - 1543-1551 A Cluster-Based Outlier Detection Scheme for Multivariate Data
by J. Marcus Jobe & Michael Pokojovy - 1552-1561 Plausibility Functions and Exact Frequentist Inference
by Ryan Martin - 1562-1576 Bayesian Factorizations of Big Sparse Tensors
by Jing Zhou & Anirban Bhattacharya & Amy H. Herring & David B. Dunson - 1577-1590 Semiparametric Pseudo-Likelihoods in Generalized Linear Models With Nonignorable Missing Data
by Jiwei Zhao & Jun Shao - 1591-1606 Robust Filtering
by Laurent E. Calvet & Veronika Czellar & Elvezio Ronchetti - 1607-1620 High-Dimensional Variable Selection With Reciprocal L 1 -Regularization
by Qifan Song & Faming Liang - 1621-1631 Marginal Inferential Models: Prior-Free Probabilistic Inference on Interest Parameters
by Ryan Martin & Chuanhai Liu - 1632-1645 Testing the Number of Components in Normal Mixture Regression Models
by Hiroyuki Kasahara & Katsumi Shimotsu - 1646-1657 Latent Space Models for Dynamic Networks
by Daniel K. Sewell & Yuguo Chen - 1658-1669 A High-Dimensional Nonparametric Multivariate Test for Mean Vector
by Lan Wang & Bo Peng & Runze Li - 1670-1683 Smoothed and Corrected Score Approach to Censored Quantile Regression With Measurement Errors
by Yuanshan Wu & Yanyuan Ma & Guosheng Yin - 1684-1695 Latent Surface Models for Networks Using Aggregated Relational Data
by Tyler H. McCormick & Tian Zheng - 1696-1706 Sequentially Refined Latin Hypercube Designs: Reusing Every Point
by Jin Xu & Jiajie Chen & Peter Z. G. Qian - 1707-1716 A Permutation Approach to Testing Interactions for Binary Response by Comparing Correlations Between Classes
by Noah Simon & Robert Tibshirani - 1717-1725 On Asymptotic Distributions and Confidence Intervals for LIFT Measures in Data Mining
by Wenxin Jiang & Yu Zhao - 1726-1734 Conditional Distance Correlation
by Xueqin Wang & Wenliang Pan & Wenhao Hu & Yuan Tian & Heping Zhang - 1735-1744 Small Area Estimation With Uncertain Random Effects
by Gauri Sankar Datta & Abhyuday Mandal - 1745-1752 Treatment Effects With Censoring and Endogeneity
by Brigham R. Frandsen - 1753-1769 Optimal Data-Driven Regression Discontinuity Plots
by Sebastian Calonico & Matias D. Cattaneo & Rocío Titiunik - 1770-1784 Reinforcement Learning Trees
by Ruoqing Zhu & Donglin Zeng & Michael R. Kosorok - 1785-1796 Nonparametric and Parametric Estimators of Prevalence From Group Testing Data With Aggregated Covariates
by Aurore Delaigle & Wen-Xin Zhou - 1797-1817 Self-Normalization for Time Series: A Review of Recent Developments
by Xiaofeng Shao
September 2015, Volume 110, Issue 511
- 889-901 Semiparametric Bayesian Density Estimation With Disparate Data Sources: A Meta-Analysis of Global Childhood Undernutrition
by Mariel M. Finucane & Christopher J. Paciorek & Gretchen A. Stevens & Majid Ezzati - 901-903 Comment
by Christopher K. Wikle & Scott H. Holan - 903-905 Comment
by Jim Hodges - 906-909 Rejoinder
by Mariel M. Finucane & Christopher J. Paciorek & Gretchen A. Stevens & Majid Ezzati - 910-922 Stable Weights that Balance Covariates for Estimation With Incomplete Outcome Data
by José R. Zubizarreta - 923-934 An Integrated Bayesian Nonparametric Approach for Stochastic and Variability Orders in ROC Curve Estimation: An Application to Endometriosis Diagnosis
by Beom Seuk Hwang & Zhen Chen - 935-945 The Role of CPS Nonresponse in the Measurement of Poverty
by Charles Hokayem & Christopher Bollinger & James P. Ziliak - 946-961 Clustering High-Dimensional Landmark-Based Two-Dimensional Shape Data
by Chao Huang & Martin Styner & Hongtu Zhu - 962-974 Proper Use of Allele-Specific Expression Improves Statistical Power for cis -eQTL Mapping with RNA-Seq Data
by Yi-Juan Hu & Wei Sun & Jung-Ying Tzeng & Charles M. Perou - 975-986 IsoDOT Detects Differential RNA-Isoform Expression/Usage With Respect to a Categorical or Continuous Covariate With High Sensitivity and Specificity
by Wei Sun & Yufeng Liu & James J. Crowley & Ting-Huei Chen & Hua Zhou & Haitao Chu & Shunping Huang & Pei-Fen Kuan & Yuan Li & Darla Miller & Ginger Shaw & Yichao Wu & Vasyl Zhabotynsky & Leonard McMillan & Fei Zou & Patrick F. Sullivan & Fernando Pardo-Manuel De Villena - 987-999 Simultaneous Edit-Imputation for Continuous Microdata
by Hang J. Kim & Lawrence H. Cox & Alan F. Karr & Jerome P. Reiter & Quanli Wang - 1000-1012 Smoothed Lexis Diagrams With Applications to Lung and Breast Cancer Trends in Taiwan
by Li-Chu Chien & Yuh-Jenn Wu & Chao A. Hsiung & Lu-Hai Wang & I-Shou Chang - 1013-1023 Robust Estimation of Inverse Probability Weights for Marginal Structural Models
by Kosuke Imai & Marc Ratkovic - 1024-1036 Bias-Reduced Doubly Robust Estimation
by Karel Vermeulen & Stijn Vansteelandt - 1037-1046 Testing for Nodal Dependence in Relational Data Matrices
by Alexander Volfovsky & Peter D. Hoff - 1047-1056 Testing and Modeling Dependencies Between a Network and Nodal Attributes
by Bailey K. Fosdick & Peter D. Hoff - 1057-1071 Blood Flow Velocity Field Estimation Via Spatial Regression With PDE Penalization
by Laura Azzimonti & Laura M. Sangalli & Piercesare Secchi & Maurizio Domanin & Fabio Nobile - 1072-1082 An Objective Approach to Prior Mass Functions for Discrete Parameter Spaces
by C. Villa & S. G. Walker - 1083-1099 Whittle Likelihood Estimation of Nonlinear Autoregressive Models With Moving Average Residuals
by Tianhao Wang & Yingcun Xia - 1100-1111 S -Estimators for Functional Principal Component Analysis
by Graciela Boente & Matías Salibian-Barrera - 1112-1124 Convergence Properties of a Sequential Regression Multiple Imputation Algorithm
by Jian Zhu & Trivellore E. Raghunathan - 1125-1135 Likelihood Inferences on Semiparametric Odds Ratio Model
by Hua Yun Chen & Daniel E. Rader & Mingyao Li - 1136-1147 The E-MS Algorithm: Model Selection With Incomplete Data
by Jiming Jiang & Thuan Nguyen & J. Sunil Rao - 1148-1159 Regression Analysis of Additive Hazards Model With Latent Variables
by Deng Pan & Haijin He & Xinyuan Song & Liuquan Sun - 1160-1174 Bandwidth Selection for High-Dimensional Covariance Matrix Estimation
by Yumou Qiu & Song Xi Chen - 1175-1186 Estimation of Multiple-Regime Threshold Autoregressive Models With Structural Breaks
by Chun Yip Yau & Chong Man Tang & Thomas C. M. Lee - 1187-1196 Analysis of the Proportional Hazards Model With Sparse Longitudinal Covariates
by Hongyuan Cao & Mathew M. Churpek & Donglin Zeng & Jason P. Fine - 1197-1216 Detection of Changes in Multivariate Time Series With Application to EEG Data
by Claudia Kirch & Birte Muhsal & Hernando Ombao - 1217-1228 The Empirical Distribution of a Large Number of Correlated Normal Variables
by David Azriel & Armin Schwartzman - 1229-1238 Likelihood Estimation for the INAR( p ) Model by Saddlepoint Approximation
by Xanthi Pedeli & Anthony C. Davison & Konstantinos Fokianos - 1239-1247 Tracking Cross-Validated Estimates of Prediction Error as Studies Accumulate
by Lo-Bin Chang & Donald Geman - 1248-1265 An Equivalent Measure of Partial Correlation Coefficients for High-Dimensional Gaussian Graphical Models
by Faming Liang & Qifan Song & Peihua Qiu - 1266-1275 Localized Functional Principal Component Analysis
by Kehui Chen & Jing Lei - 1276-1283 A Regression Framework for Rank Tests Based on the Probabilistic Index Model
by Jan De Neve & Olivier Thas - 1284-1303 Model Estimation, Prediction, and Signal Extraction for Nonstationary Stock and Flow Time Series Observed at Mixed Frequencies
by Tucker McElroy & Brian Monsell - 1304-1319 Design and Analysis of the Randomized Response Technique
by Graeme Blair & Kosuke Imai & Yang-Yang Zhou
June 2015, Volume 110, Issue 510
- 459-471 False Discovery Rate Regression: An Application to Neural Synchrony Detection in Primary Visual Cortex
by James G. Scott & Ryan C. Kelly & Matthew A. Smith & Pengcheng Zhou & Robert E. Kass - 472-485 Analysis of Longitudinal Multivariate Outcome Data From Couples Cohort Studies: Application to HPV Transmission Dynamics
by Xiangrong Kong & Mei-Cheng Wang & Ronald Gray - 486-502 Survival Analysis of Loblolly Pine Trees With Spatially Correlated Random Effects
by Jie Li & Yili Hong & Ram Thapa & Harold E. Burkhart - 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