Printed from https://ideas.repec.org/s/taf/jnlasa7.html
Content
July 2019, Volume 114, Issue 527
- 1241-1250 Covariate-Adjusted Regression for Distorted Longitudinal Data With Informative Observation Times
by Shirong Deng & Xingqiu Zhao - 1251-1263 New Tests for Equality of Several Covariance Functions for Functional Data
by Jia Guo & Bu Zhou & Jin-Ting Zhang - 1264-1276 Invariant Causal Prediction for Sequential Data
by Niklas Pfister & Peter Bühlmann & Jonas Peters - 1277-1290 Sparse Minimum Discrepancy Approach to Sufficient Dimension Reduction with Simultaneous Variable Selection in Ultrahigh Dimension
by Wei Qian & Shanshan Ding & R. Dennis Cook - 1291-1304 Multiple Testing When Many p-Values are Uniformly Conservative, with Application to Testing Qualitative Interaction in Educational Interventions
by Qingyuan Zhao & Dylan S. Small & Weijie Su - 1305-1319 Covariate-Adjusted Tensor Classification in High Dimensions
by Yuqing Pan & Qing Mai & Xin Zhang - 1320-1338 Combined Hypothesis Testing on Graphs With Applications to Gene Set Enrichment Analysis
by Shulei Wang & Ming Yuan - 1339-1350 On the Use of the Lasso for Instrumental Variables Estimation with Some Invalid Instruments
by Frank Windmeijer & Helmut Farbmacher & Neil Davies & George Davey Smith - 1351-1365 Selection-Corrected Statistical Inference for Region Detection With High-Throughput Assays
by Yuval Benjamini & Jonathan Taylor & Rafael A. Irizarry - 1366-1381 Extremiles: A New Perspective on Asymmetric Least Squares
by Abdelaati Daouia & Irène Gijbels & Gilles Stupfler - 1382-1393 Quantile-Regression Inference With Adaptive Control of Size
by J. C. Escanciano & S. C. Goh - 1394-1403 MCMC for Imbalanced Categorical Data
by James E. Johndrow & Aaron Smith & Natesh Pillai & David B. Dunson - 1404-1417 Proper Inference for Value Function in High-Dimensional Q-Learning for Dynamic Treatment Regimes
by Wensheng Zhu & Donglin Zeng & Rui Song - 1418-1420 Asymptotic Analysis of Mixed Effects Models: Theory, Applications, and Open Problems
by Hongying Dai - 1420-1421 Data Science Foundations: Geometry and Topology of Complex Hierarchic Systems and Big Data Analytics
by Kaixian Yu - 1421-1421 Flexible Imputation of Missing Data, 2nd ed
by Shu Yang - 1421-1423 Missing and Modified Data in Nonparametric Estimation: With R Examples
by Ofer Harel - 1423-1424 Randomization, Masking, and Allocation Concealment
by Anna Snavely - 1424-1425 Risk Theory: A Heavy Tail Approach
by Chen Zhou - 1425-1425 Simulation and the Monte Carlo Method, 3rd ed
by Dootika Vats - 1425-1426 Statistical Data Fusion
by Jae-Kwang Kim
April 2019, Volume 114, Issue 526
- 495-513 Bayesian Semiparametric Functional Mixed Models for Serially Correlated Functional Data, With Application to Glaucoma Data
by Wonyul Lee & Michelle F. Miranda & Philip Rausch & Veerabhadran Baladandayuthapani & Massimo Fazio & J. Crawford Downs & Jeffrey S. Morris - 514-528 Sequential Nonparametric Tests for a Change in Distribution: An Application to Detecting Radiological Anomalies
by Oscar Hernan Madrid Padilla & Alex Athey & Alex Reinhart & James G. Scott - 529-540 Causal Interaction in Factorial Experiments: Application to Conjoint Analysis
by Naoki Egami & Kosuke Imai - 541-552 Bayesian Semiparametric Estimation of Cancer-Specific Age-at-Onset Penetrance With Application to Li-Fraumeni Syndrome
by Seung Jun Shin & Ying Yuan & Louise C. Strong & Jasmina Bojadzieva & Wenyi Wang - 553-564 Multilevel Matrix-Variate Analysis and its Application to Accelerometry-Measured Physical Activity in Clinical Populations
by Lei Huang & Jiawei Bai & Andrada Ivanescu & Tamara Harris & Mathew Maurer & Philip Green & Vadim Zipunnikov - 565-580 Priors for the Long Run
by Domenico Giannone & Michele Lenza & Giorgio E. Primiceri - 581-594 Batch Effects Correction with Unknown Subtypes
by Xiangyu Luo & Yingying Wei - 595-609 Functional Data Analysis of Dynamic PET Data
by Yakuan Chen & Jeff Goldsmith & R. Todd Ogden - 610-621 Fully Bayesian Analysis of RNA-seq Counts for the Detection of Gene Expression Heterosis
by Will Landau & Jarad Niemi & Dan Nettleton - 622-630 Joint Indirect Standardization When Only Marginal Distributions are Observed in the Index Population
by Yifei Wang & Daniel J. Tancredi & Diana L. Miglioretti - 631-644 Stochastic Quasi-Likelihood for Case-Control Point Pattern Data
by Ganggang Xu & Rasmus Waagepetersen & Yongtao Guan - 645-656 Nonparametric Causal Effects Based on Incremental Propensity Score Interventions
by Edward H. Kennedy - 657-667 Parameter Estimation and Variable Selection for Big Systems of Linear Ordinary Differential Equations: A Matrix-Based Approach
by Leqin Wu & Xing Qiu & Ya-xiang Yuan & Hulin Wu - 668-681 Communication-Efficient Distributed Statistical Inference
by Michael I. Jordan & Jason D. Lee & Yun Yang - 682-696 Joint Mean and Covariance Estimation with Unreplicated Matrix-Variate Data
by Michael Hornstein & Roger Fan & Kerby Shedden & Shuheng Zhou - 697-712 Excess Optimism: How Biased is the Apparent Error of an Estimator Tuned by SURE?
by Ryan J. Tibshirani & Saharon Rosset - 713-722 On Sensitivity Value of Pair-Matched Observational Studies
by Qingyuan Zhao - 723-734 Graphical Model Selection for Gaussian Conditional Random Fields in the Presence of Latent Variables
by Benjamin Frot & Luke Jostins & Gilean McVean - 735-748 High-Dimensional Posterior Consistency in Bayesian Vector Autoregressive Models
by Satyajit Ghosh & Kshitij Khare & George Michailidis - 749-758 Valid Post-Selection Inference in High-Dimensional Approximately Sparse Quantile Regression Models
by Alexandre Belloni & Victor Chernozhukov & Kengo Kato - 759-772 Large Covariance Estimation for Compositional Data Via Composition-Adjusted Thresholding
by Yuanpei Cao & Wei Lin & Hongzhe Li - 773-781 Variance Change Point Detection Under a Smoothly-Changing Mean Trend with Application to Liver Procurement
by Zhenguo Gao & Zuofeng Shang & Pang Du & John L. Robertson - 782-792 Graph-Guided Banding of the Covariance Matrix
by Jacob Bien - 793-803 Bootstrapping High-Frequency Jump Tests
by Prosper Dovonon & Sílvia Gonçalves & Ulrich Hounyo & Nour Meddahi - 804-819 Optimal Forecast Reconciliation for Hierarchical and Grouped Time Series Through Trace Minimization
by Shanika L. Wickramasuriya & George Athanasopoulos & Rob J. Hyndman - 820-830 Interpretable High-Dimensional Inference Via Score Projection With an Application in Neuroimaging
by Simon N. Vandekar & Philip T. Reiss & Russell T. Shinohara - 831-843 Speeding Up MCMC by Efficient Data Subsampling
by Matias Quiroz & Robert Kohn & Mattias Villani & Minh-Ngoc Tran - 844-856 cmenet: A New Method for Bi-Level Variable Selection of Conditional Main Effects
by Simon Mak & C. F. Jeff Wu - 857-868 Statistical Inference in a Directed Network Model With Covariates
by Ting Yan & Binyan Jiang & Stephen E. Fienberg & Chenlei Leng - 869-881 Testing for Trends in High-Dimensional Time Series
by Likai Chen & Wei Biao Wu - 882-892 A Mallows-Type Model Averaging Estimator for the Varying-Coefficient Partially Linear Model
by Rong Zhu & Alan T. K. Wan & Xinyu Zhang & Guohua Zou - 893-905 Probabilistic Community Detection With Unknown Number of Communities
by Junxian Geng & Anirban Bhattacharya & Debdeep Pati - 906-915 A Cautionary Tale on Instrumental Calibration for the Treatment of Nonignorable Unit Nonresponse in Surveys
by Éric Lesage & David Haziza & Xavier D’Haultfœuille - 916-927 Identifying Cointegration by Eigenanalysis
by Rongmao Zhang & Peter Robinson & Qiwei Yao - 928-937 A Generic Sure Independence Screening Procedure
by Wenliang Pan & Xueqin Wang & Weinan Xiao & Hongtu Zhu - 938-947 Inverse Probability Weighted Estimation of Risk Under Representative Interventions in Observational Studies
by Jessica G. Young & Roger W. Logan & James M. Robins & Miguel A. Hernán - 948-948 Book Review
by Jing Su
January 2019, Volume 114, Issue 525
- 1-19 Penalized Spline of Propensity Methods for Treatment Comparison
by Tingting Zhou & Michael R. Elliott & Roderick J. A. Little - 20-23 Comment on Penalized Spline of Propensity Methods for Treatment Comparison by Zhou, Elliott, and Little
by Andrew J. Spieker - 24-27 Discussion of PENCOMP
by Joseph Antonelli & Michael J. Daniels - 28-30 Comment: Penalized Spline of Propensity Methods for Treatment Comparison
by Qingxia Chen & Frank E. Harrell - 30-32 Discussion of “Penalized Spline of Propensity Methods for Treatment Comparison” by Zhou, Elliott, and Little
by Shu Yang & Donglin Zeng - 32-35 Discussion of “Penalized Spline of Propensity Methods for Treatment Comparison”
by Georgia Papadogeorgou & Fan Li - 35-38 Penalized Spline of Propensity Methods for Treatment Comparison: Rejoinder
by Tingting Zhou & Michael R. Elliott & Roderick J. A. Little - 39-47 Minimum Mean Squared Error Estimation of the Radius of Gyration in Small-Angle X-Ray Scattering Experiments
by Cody Alsaker & F. Jay Breidt & Mark J. van der Woerd - 48-60 Bayesian Hierarchical Varying-Sparsity Regression Models with Application to Cancer Proteogenomics
by Yang Ni & Francesco C. Stingo & Min Jin Ha & Rehan Akbani & Veerabhadran Baladandayuthapani - 61-78 Spatially Dependent Multiple Testing Under Model Misspecification, With Application to Detection of Anthropogenic Influence on Extreme Climate Events
by Mark D. Risser & Christopher J. Paciorek & Dáithí A. Stone - 79-92 Estimating the Malaria Attributable Fever Fraction Accounting for Parasites Being Killed by Fever and Measurement Error
by Kwonsang Lee & Dylan S. Small - 93-104 Survivor-Complier Effects in the Presence of Selection on Treatment, With Application to a Study of Prompt ICU Admission
by Edward H. Kennedy & Steve Harris & Luke J. Keele - 105-114 Capture-Recapture Methods for Data on the Activation of Applications on Mobile Phones
by Mamadou Yauck & Louis-Paul Rivest & Greg Rothman - 115-128 FreSpeD: Frequency-Specific Change-Point Detection in Epileptic Seizure Multi-Channel EEG Data
by Anna Louise Schröder & Hernando Ombao - 129-145 Marginal Bayesian Semiparametric Modeling of Mismeasured Multivariate Interval-Censored Data
by Li Li & Alejandro Jara & María José García-Zattera & Timothy E. Hanson - 146-157 Simulation-Based Bias Correction Methods for Complex Models
by Stéphane Guerrier & Elise Dupuis-Lozeron & Yanyuan Ma & Maria-Pia Victoria-Feser - 158-168 Admissibility in Partial Conjunction Testing
by Jingshu Wang & Art B. Owen - 169-183 Changepoint Detection in the Presence of Outliers
by Paul Fearnhead & Guillem Rigaill - 184-197 Bayesian Graphical Regression
by Yang Ni & Francesco C. Stingo & Veerabhadran Baladandayuthapani - 198-210 Matrix Completion With Covariate Information
by Xiaojun Mao & Song Xi Chen & Raymond K. W. Wong - 211-222 Functional Graphical Models
by Xinghao Qiao & Shaojun Guo & Gareth M. James - 223-234 Least Ambiguous Set-Valued Classifiers With Bounded Error Levels
by Mauricio Sadinle & Jing Lei & Larry Wasserman - 235-244 Confidence Sets for Phylogenetic Trees
by Amy Willis - 245-258 Fisher Exact Scanning for Dependency
by Li Ma & Jialiang Mao - 259-270 Weighted NPMLE for the Subdistribution of a Competing Risk
by Anna Bellach & Michael R. Kosorok & Ludger Rüschendorf & Jason P. Fine - 271-286 Robust Variable and Interaction Selection for Logistic Regression and General Index Models
by Yang Li & Jun S. Liu - 287-303 Principal Component Analysis of High-Frequency Data
by Yacine Aït-Sahalia & Dacheng Xiu - 304-317 Decomposing Treatment Effect Variation
by Peng Ding & Avi Feller & Luke Miratrix - 318-331 A Computational Framework for Multivariate Convex Regression and Its Variants
by Rahul Mazumder & Arkopal Choudhury & Garud Iyengar & Bodhisattva Sen - 332-343 Linear Non-Gaussian Component Analysis Via Maximum Likelihood
by Benjamin B. Risk & David S. Matteson & David Ruppert - 344-357 FSEM: Functional Structural Equation Models for Twin Functional Data
by S. Luo & R. Song & M. Styner & J. H. Gilmore & H. Zhu - 358-369 Optimal Estimation of Genetic Relatedness in High-Dimensional Linear Models
by Zijian Guo & Wanjie Wang & T. Tony Cai & Hongzhe Li - 370-383 Censoring Unbiased Regression Trees and Ensembles
by Jon Arni Steingrimsson & Liqun Diao & Robert L. Strawderman - 384-392 Accurate and Efficient P-value Calculation Via Gaussian Approximation: A Novel Monte-Carlo Method
by Yaowu Liu & Jun Xie - 393-405 Information-Based Optimal Subdata Selection for Big Data Linear Regression
by HaiYing Wang & Min Yang & John Stufken - 406-418 Partially Linear Functional Additive Models for Multivariate Functional Data
by Raymond K. W. Wong & Yehua Li & Zhengyuan Zhu - 419-433 Group SLOPE – Adaptive Selection of Groups of Predictors
by Damian Brzyski & Alexej Gossmann & Weijie Su & Małgorzata Bogdan - 434-444 Modeling Spatial Processes with Unknown Extremal Dependence Class
by Raphaël Huser & Jennifer L. Wadsworth - 445-452 Constructing Priors that Penalize the Complexity of Gaussian Random Fields
by Geir-Arne Fuglstad & Daniel Simpson & Finn Lindgren & Håvard Rue - 453-465 Adaptive Bayesian Time–Frequency Analysis of Multivariate Time Series
by Zeda Li & Robert T. Krafty - 466-476 Nonparametric Rotations for Sphere-Sphere Regression
by Marco Di Marzio & Agnese Panzera & Charles C. Taylor - 484-484 Corrigendum
by The Editors - 485-485 Correction
by The Editors - 486-486 Correction
by The Editors - 487-494 Editorial Collaborators
by The Editors
October 2018, Volume 113, Issue 524
- 1395-1410 A Bayesian Variable Selection Approach Yields Improved Detection of Brain Activation From Complex-Valued fMRI
by Cheng-Han Yu & Raquel Prado & Hernando Ombao & Daniel Rowe - 1411-1430 Placebo Response as a Latent Characteristic: Application to Analysis of Sequential Parallel Comparison Design Studies
by Denis Rybin & Robert Lew & Michael J. Pencina & Maurizio Fava & Gheorghe Doros - 1431-1442 Polynomial Accelerated Solutions to a Large Gaussian Model for Imaging Biofilms: In Theory and Finite Precision
by Albert E. Parker & Betsey Pitts & Lindsey Lorenz & Philip S. Stewart - 1443-1456 An Efficient Surrogate Model for Emulation and Physics Extraction of Large Eddy Simulations
by Simon Mak & Chih-Li Sung & Xingjian Wang & Shiang-Ting Yeh & Yu-Hung Chang & V. Roshan Joseph & Vigor Yang & C. F. Jeff Wu - 1457-1475 Tracking the Impact of Media on Voter Choice in Real Time: A Bayesian Dynamic Joint Model
by Bhuvanesh Pareek & Pulak Ghosh & Hugh N. Wilson & Emma K. Macdonald & Paul Baines - 1476-1489 Modeling Random Effects Using Global–Local Shrinkage Priors in Small Area Estimation
by Xueying Tang & Malay Ghosh & Neung Soo Ha & Joseph Sedransk - 1490-1502 Malware Family Discovery Using Reversible Jump MCMC Sampling of Regimes
by Alexander D. Bolton & Nicholas A. Heard - 1503-1514 To Wait or Not to Wait: Two-Way Functional Hazards Model for Understanding Waiting in Call Centers
by Gen Li & Jianhua Z. Huang & Haipeng Shen - 1515-1527 Bayesian Semiparametric Mixed Effects Markov Models With Application to Vocalization Syntax
by Abhra Sarkar & Jonathan Chabout & Joshua Jones Macopson & Erich D. Jarvis & David B. Dunson - 1528-1540 Fast Moment Estimation for Generalized Latent Dirichlet Models
by Shiwen Zhao & Barbara E. Engelhardt & Sayan Mukherjee & David B. Dunson - 1541-1549 Interpretable Dynamic Treatment Regimes
by Yichi Zhang & Eric B. Laber & Marie Davidian & Anastasios A. Tsiatis - 1550-1564 Efficient Estimation of the Nonparametric Mean and Covariance Functions for Longitudinal and Sparse Functional Data
by Ling Zhou & Huazhen Lin & Hua Liang - 1565-1582 Probabilities of Concurrent Extremes
by Clément Dombry & Mathieu Ribatet & Stilian Stoev - 1583-1600 Linear Hypothesis Testing in Dense High-Dimensional Linear Models
by Yinchu Zhu & Jelena Bradic - 1601-1611 Optimal Penalized Function-on-Function Regression Under a Reproducing Kernel Hilbert Space Framework
by Xiaoxiao Sun & Pang Du & Xiao Wang & Ping Ma - 1612-1624 Dynamic Modeling of Conditional Quantile Trajectories, With Application to Longitudinal Snippet Data
by Matthew Dawson & Hans-Georg Müller - 1625-1636 Modeling Tangential Vector Fields on a Sphere
by Minjie Fan & Debashis Paul & Thomas C. M. Lee & Tomoko Matsuo - 1637-1655 A Nonparametric Graphical Model for Functional Data With Application to Brain Networks Based on fMRI
by Bing Li & Eftychia Solea - 1656-1668 Bayesian Estimation and Comparison of Moment Condition Models
by Siddhartha Chib & Minchul Shin & Anna Simoni - 1669-1683 Reconciling Curvature and Importance Sampling Based Procedures for Summarizing Case Influence in Bayesian Models
by Zachary M. Thomas & Steven N. MacEachern & Mario Peruggia - 1684-1697 Particle EM for Variable Selection
by Veronika Ročková - 1698-1709 A Massive Data Framework for M-Estimators with Cubic-Rate
by Chengchun Shi & Wenbin Lu & Rui Song - 1710-1721 Bayesian Approximate Kernel Regression With Variable Selection
by Lorin Crawford & Kris C. Wood & Xiang Zhou & Sayan Mukherjee - 1722-1732 Over-Dispersed Age-Period-Cohort Models
by Jonas Harnau & Bent Nielsen - 1733-1741 A Powerful Bayesian Test for Equality of Means in High Dimensions
by Roger S. Zoh & Abhra Sarkar & Raymond J. Carroll & Bani K. Mallick - 1742-1758 Tractable Bayesian Variable Selection: Beyond Normality
by David Rossell & Francisco J. Rubio - 1759-1769 Sparse Pairwise Likelihood Estimation for Multivariate Longitudinal Mixed Models
by Francis K. C. Hui & Samuel Müller & A. H. Welsh - 1770-1783 Post-Selection Inference Following Aggregate Level Hypothesis Testing in Large-Scale Genomic Data
by Ruth Heller & Nilanjan Chatterjee & Abba Krieger & Jianxin Shi - 1784-1796 Inference Under Covariate-Adaptive Randomization
by Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh - 1797-1812 Sparsity Oriented Importance Learning for High-Dimensional Linear Regression
by Chenglong Ye & Yi Yang & Yuhong Yang - 1813-1827 Diagnostic Checking in Multivariate ARMA Models With Dependent Errors Using Normalized Residual Autocorrelations
by Yacouba Boubacar Maïnassara & Bruno Saussereau - 1828-1845 Mixtures of g-Priors in Generalized Linear Models
by Yingbo Li & Merlise A. Clyde
July 2018, Volume 113, Issue 523
- 955-972 Bayesian Neural Networks for Selection of Drug Sensitive Genes
by Faming Liang & Qizhai Li & Lei Zhou - 973-982 Controlling the FDR in Imperfect Matches to an Incomplete Database
by Uri Keich & William Stafford Noble - 983-991 Optimal Probability Weights for Inference With Constrained Precision
by Michele Santacatterina & Matteo Bottai - 992-1002 Latent Variable Poisson Models for Assessing the Regularity of Circadian Patterns over Time
by Sungduk Kim & Paul S. Albert - 1003-1015 Modeling Motor Learning Using Heteroscedastic Functional Principal Components Analysis
by Daniel Backenroth & Jeff Goldsmith & Michelle D. Harran & Juan C. Cortes & John W. Krakauer & Tomoko Kitago - 1016-1027 A Bayesian Phase I/II Trial Design for Immunotherapy
by Suyu Liu & Beibei Guo & Ying Yuan - 1028-1039 Maximum Rank Reproducibility: A Nonparametric Approach to Assessing Reproducibility in Replicate Experiments
by Daisy Philtron & Yafei Lyu & Qunhua Li & Debashis Ghosh - 1040-1049 Front-Door Versus Back-Door Adjustment With Unmeasured Confounding: Bias Formulas for Front-Door and Hybrid Adjustments With Application to a Job Training Program
by Adam N. Glynn & Konstantin Kashin - 1050-1069 On the Long-Run Volatility of Stocks
by Carlos M. Carvalho & Hedibert F. Lopes & Robert E. McCulloch - 1070-1084 Cross-Screening in Observational Studies That Test Many Hypotheses
by Qingyuan Zhao & Dylan S. Small & Paul R. Rosenbaum - 1085-1093 On Recursive Bayesian Predictive Distributions
by P. Richard Hahn & Ryan Martin & Stephen G. Walker - 1094-1111 Distribution-Free Predictive Inference for Regression
by Jing Lei & Max G’Sell & Alessandro Rinaldo & Ryan J. Tibshirani & Larry Wasserman - 1112-1121 Assessing Time-Varying Causal Effect Moderation in Mobile Health
by Audrey Boruvka & Daniel Almirall & Katie Witkiewitz & Susan A. Murphy - 1122-1134 Quantitative Evaluation of the Trade-Off of Strengthened Instruments and Sample Size in Observational Studies
by Ashkan Ertefaie & Dylan S. Small & Paul R. Rosenbaum - 1135-1145 Quasi-Likelihood Estimation of a Censored Autoregressive Model With Exogenous Variables
by Chao Wang & Kung-Sik Chan - 1146-1155 A Weighted Edge-Count Two-Sample Test for Multivariate and Object Data
by Hao Chen & Xu Chen & Yi Su - 1156-1171 False Discovery Rate Smoothing
by Wesley Tansey & Oluwasanmi Koyejo & Russell A. Poldrack & James G. Scott - 1172-1183 Weighted False Discovery Rate Control in Large-Scale Multiple Testing
by Pallavi Basu & T. Tony Cai & Kiranmoy Das & Wenguang Sun - 1184-1194 Oracle Estimation of a Change Point in High-Dimensional Quantile Regression
by Sokbae Lee & Yuan Liao & Myung Hwan Seo & Youngki Shin - 1195-1209 Optimal Control and Additive Perturbations Help in Estimating Ill-Posed and Uncertain Dynamical Systems
by Quentin Clairon & Nicolas J.-B. Brunel - 1210-1218 On the Use of Reproducing Kernel Hilbert Spaces in Functional Classification
by José R. Berrendero & Antonio Cuevas & José L. Torrecilla - 1219-1227 Functional Feature Construction for Individualized Treatment Regimes
by Eric B. Laber & Ana-Maria Staicu - 1228-1242 Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
by Stefan Wager & Susan Athey - 1243-1254 Quantile-Optimal Treatment Regimes
by Lan Wang & Yu Zhou & Rui Song & Ben Sherwood - 1255-1267 A Bayesian Machine Learning Approach for Optimizing Dynamic Treatment Regimes
by Thomas A. Murray & Ying Yuan & Peter F. Thall - 1268-1283 Robust High-Dimensional Volatility Matrix Estimation for High-Frequency Factor Model
by Jianqing Fan & Donggyu Kim - 1284-1295 Identifying Latent Structures in Restricted Latent Class Models
by Gongjun Xu & Zhuoran Shang - 1296-1310 Modeling Persistent Trends in Distributions
by Jonas Mueller & Tommi Jaakkola & David Gifford - 1311-1326 Edge Exchangeable Models for Interaction Networks
by Harry Crane & Walter Dempsey - 1327-1340 Confidence Regions for Spatial Excursion Sets From Repeated Random Field Observations, With an Application to Climate
by Max Sommerfeld & Stephan Sain & Armin Schwartzman - 1341-1349 A Randomized Sequential Procedure to Determine the Number of Factors
by Lorenzo Trapani - 1350-1361 Inference in Linear Regression Models with Many Covariates and Heteroscedasticity
by Matias D. Cattaneo & Michael Jansson & Whitney K. Newey - 1362-1371 On the Null Distribution of Bayes Factors in Linear Regression
by Quan Zhou & Yongtao Guan - 1372-1390 Bayesian Inference in the Presence of Intractable Normalizing Functions
by Jaewoo Park & Murali Haran - 1391-1394 Book Reviews
by The Editors
April 2018, Volume 113, Issue 522
- 489-493 Statistics: Essential Now More Than Ever
by Barry D. Nussbaum - 494-504 A Permutation Test for the Regression Kink Design
by Peter Ganong & Simon Jäger - 505-518 Estimating the Number of Sources in Magnetoencephalography Using Spiked Population Eigenvalues
by Zhigang Yao & Ye Zhang & Zhidong Bai & William F. Eddy - 519-533 Scalable Bayesian Modeling, Monitoring, and Analysis of Dynamic Network Flow Data
by Xi Chen & Kaoru Irie & David Banks & Robert Haslinger & Jewell Thomas & Mike West - 534-545 Statistical Methods for Standard Membrane-Feeding Assays to Measure Transmission Blocking or Reducing Activity in Malaria
by Bruce J. Swihart & Michael P. Fay & Kazutoyo Miura - 546-559 A Tailored Multivariate Mixture Model for Detecting Proteins of Concordant Change Among Virulent Strains of Clostridium Perfringens
by Kun Chen & Neha Mishra & Joan Smyth & Haim Bar & Elizabeth Schifano & Lynn Kuo & Ming-Hui Chen - 560-570 On Estimation of the Hazard Function From Population-Based Case–Control Studies
by Li Hsu & Malka Gorfine & David Zucker - 571-581 A Unified Framework for Fitting Bayesian Semiparametric Models to Arbitrarily Censored Survival Data, Including Spatially Referenced Data
by Haiming Zhou & Timothy Hanson - 582-592 Semiparametric Estimation of Longitudinal Medical Cost Trajectory
by Liang Li & Chih-Hsien Wu & Jing Ning & Xuelin Huang & Ya-Chen Tina Shih & Yu Shen - 593-606 Nested Hierarchical Functional Data Modeling and Inference for the Analysis of Functional Plant Phenotypes
by Yuhang Xu & Yehua Li & Dan Nettleton - 607-614 Disentangling Bias and Variance in Election Polls
by Houshmand Shirani-Mehr & David Rothschild & Sharad Goel & Andrew Gelman - 615-625 Model Selection for High-Dimensional Quadratic Regression via Regularization
by Ning Hao & Yang Feng & Hao Helen Zhang - 626-636 Bayesian Regression Trees for High-Dimensional Prediction and Variable Selection
by Antonio R. Linero - 637-648 Unsupervised Self-Normalized Change-Point Testing for Time Series
by Ting Zhang & Liliya Lavitas - 649-659 Multivariate Functional Principal Component Analysis for Data Observed on Different (Dimensional) Domains
by Clara Happ & Sonja Greven - 660-674 Boosting in the Presence of Outliers: Adaptive Classification With Nonconvex Loss Functions
by Alexander Hanbo Li & Jelena Bradic - 675-685 Bayesian Nonparametric Calibration and Combination of Predictive Distributions
by Federico Bassetti & Roberto Casarin & Francesco Ravazzolo - 686-697 Design-Based Maps for Finite Populations of Spatial Units
by L. Fattorini & M. Marcheselli & L. Pratelli - 698-710 Group-Linear Empirical Bayes Estimates for a Heteroscedastic Normal Mean
by Asaf Weinstein & Zhuang Ma & Lawrence D. Brown & Cun-Hui Zhang - 711-729 Equivalence of Regression Curves
by Holger Dette & Kathrin Möllenhoff & Stanislav Volgushev & Frank Bretz - 730-745 On Reject and Refine Options in Multicategory Classification
by Chong Zhang & Wenbo Wang & Xingye Qiao - 746-754 Dimensionality Reduction and Variable Selection in Multivariate Varying-Coefficient Models With a Large Number of Covariates
by Kejun He & Heng Lian & Shujie Ma & Jianhua Z. Huang - 755-766 Hidden Population Size Estimation From Respondent-Driven Sampling: A Network Approach
by Forrest W. Crawford & Jiacheng Wu & Robert Heimer - 767-779 On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference
by Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell - 780-788 Parametric-Rate Inference for One-Sided Differentiable Parameters
by Alexander R. Luedtke & Mark J. van der Laan - 789-801 Distribution-Free Detection of Structured Anomalies: Permutation and Rank-Based Scans
by Ery Arias-Castro & Rui M. Castro & Ervin Tánczos & Meng Wang - 802-818 Efficient Functional ANOVA Through Wavelet-Domain Markov Groves
by Li Ma & Jacopo Soriano - 819-828 Invariant Inference and Efficient Computation in the Static Factor Model
by Joshua Chan & Roberto Leon-Gonzalez & Rodney W. Strachan