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Papers to Appear in Subsequent Issues

When papers are accepted for publication, they will appear below. Any changes that are made during the production process will only appear in the final version. Papers listed here are not updated during the production process and are removed once an issue is published.

A Marginal Structural Model for Partial Compliance in SMARTs William Jeremy Artman, Ashkan Ertefaie, Kevin G Lynch, James R McKay, and Brent A Johnson
A High-dimensional Approach to Measure Connectivity in the Financial Sector Sumanta Basu, George Michailidis, Sreyoshi Das, and Amiyatosh Purnanandam
Bayesian hierarchical modelling of sparse count processes in retail analytics Gordon Ross, James Pitkin, and Ioanna Manolopoulou
Latent Mixture Model for Heterogeneous Causal Mechanisms in Mendelian Randomization Daniel Iong, Qingyuan Zhao, and Yang Chen
Identification of Influencing Factors on Self-Reported Count Data with Multiple Potential Inflated Values Yang Li, Mingcong Wu, Mengyun Wu, and Shuangge Ma
Readability prediction: How many features are necessary? Florian Schwendinger, Laura Vana, and Kurt Hornik
Information-Incorporated Clustering Analysis of Disease Prevalence Trends Shuangge Ma
Functional Partial Least Squares with Censored Outcomes: Prediction of Breast Cancer Risk with Mammogram Shu Jiang, Jiguo Cao, and Graham A. Colditz
Efficient and Effective Calibration of Numerical Model Outputs Using Hierarchical Dynamic Models Yewen Chen, Xiaohui Chang, Bohai Zhang, and Hui Huang
Network method for voxel-pair-level brain connectivity analysis under spatial-contiguity constraints Tong Lu, Yuan Zhang, Peter Kochunov, Elliot Hong, and Shuo Chen
A Population-Aware Retrospective Regression to Detect Genome-Wide Variants with Sex Difference in Allele Frequency Zhong Wang, Andrew D. Paterson, and Lei Sun
Bayesian nested latent class models for cause-of-death assignment using verbal autopsies across multiple domains Zehang Richard Li, Zhenke Wu, Irena Chen, and Samuel J. Clark
Filtrated Common Functional Principal Component Analysis of Multi-group Functional data Shuhao Jiao, Ron Frostig, and Hernando Ombao
Multi-scale Poisson process approaches for detecting and estimating differences from high-throughput sequencing assays Heejung Shim, Zhengrong Xing, Ester Pantaleo, Francesca Luca, Roger Pique-Regi, and Matthew Stephens
Accurate estimation of rare cell type fractions from tissue omics data via hierarchical deconvolution Penghui Huang, Manqi Cai, Xinghua Lu, Chris McKennan, and Jiebiao Wang
Tensor Regression for Incomplete Observations with Application to Longitudinal Studies Tianchen Xu, Kun Chen, and Gen Li
Learning common structures in a collection of networks. An application to food webs Saint-Clair Chabert-Liddell, Pierre Barbillon, and Sophie Donnet
Athlete rating in multi-competitor games with scored outcomes via monotone transformations Jonathan Che and Mark Glickman
Estimating the Likelihood of Arrest on Police Records in Presence of Unreported Crimes Riccardo Fogliato, Arun Kumar Kuchibhotla, Alice Xiang, Daniel Nagin, Zachary Lipton, and Alexandra Chouldechova
Semiparametric Bivariate Hierarchical State Space Model with application to Hormone Circadian Relationship Mengying You and Wensheng Guo
Tensor quantile regression with low-rank tensor train estimation Zihuan Liu, Cheuk Yin Lee, and Heping Zhang
Risk-Aware Restricted Outcome Learning for Individualized Treatment Regimes Shuying Zhu, Weining Shen, Haoda Fu, and Annie Qu
Privacy-Preserving, Communication-Efficient, and Target-Flexible Hospital Quality Measurement Larry Han, Yige Li, Bijan Niknam, and Jose Zubizarreta
MASH: Mediation Analysis of Survival Outcome and High-Dimensional Omics Mediators with Application to Complex Diseases Sunyi Chi, Christopher R Flowers, Ziyi Li, Xuelin Huang, and Peng Wei
Flexible Multivariate Spatio-Temporal Hawkes Process Models of Terrorism Mikyoung Jun and Scott Cook
Hierarchical Dependence Modeling for the Analysis of Large Insurance Claims Data Ting Fung Ma, Yizhou Cai, Peng Shi, and Jun Zhu
Forecasting US Inflation Using Bayesian Nonparametric Models Todd E Clark, Florian Huber, Gary Koop, and Massimiliano Marcellino
Analyzing cross-talk between superimposed signals: Vector norm dependent hidden Markov models and applications Laura Vanegas, Benjamin Eltzner, Daniel Rudolf, Miroslav Dura, Stephan Lehnart, and Axel Munk
Flexible Instrumental Variable Models With Bayesian Additive Regression Trees Charles Spanbauer and Wei Pan
Penalized Joint Models of High-Dimensional Longitudinal Biomarkers and A Survival Outcome Jiehuan Sun and Sanjib Basu
Dynamic Modeling and Online Monitoring of Tensor Data Streams with Application to Passenger Flow Surveillance Yifan Li, Chunjie Wu, Wendong Li, Fugee Tsung, and Jianhua Guo
As Treated Analysis of Cluster-Randomized Trials Ari I. F. Fogelson, Kirsten Landsiedel, Suzanne M. Dufault, and Nicholas P. Jewell
Modeling Extremal Streamflow using Deep Learning Approximations and a Flexible Spatial Process Reetam Majumder, Brian J. Reich, and Benjamin A. Shaby
Assessing Screening Efficacy in the Presence of Cancer Overdiagnosis Ying Huang and Ziding Feng
A Bayesian hierarchical small-area population model accounting for data source specific methodologies from American Community Survey, Population Estimates Program, and Decennial Census Data Emily Nancy Peterson, Rachel C Nethery, Tullia Padellini, Jarvis T Chen, Brent A Coull, Frederic B Piel, Jon Wakefield, Marta Blangiardo, and Lance A Waller
Spatial predictions on physically constrained domains: Applications to Arctic sea salinity data Bora Jin, Amy H. Herring, and David Dunson
A framework for analysing longitudinal data involving time-varying covariates Reza Drikvandi, Geert Verbeke, and Geert Molenberghs
Variance as a predictor of health outcomes: Subject-level trajectories and variability of sex hormones to predict body fat changes in peri- and post-menopausal women Irena Chen, Zhenke Wu, Sioban D. Harlow, Carrie A. Karvonen-Gutierrez, Michelle M. Hood, and Michael R. Elliott
Functional concurrent regression with compositional covariates and its application to the time-varying effect of causes of death on human longevity Emanuele Giovanni Depaoli, Marco Stefanucci, and Stefano Mazzuco
How Are Pre-Launch Online Movie Reviews Related to Box Office Revenues? Tianyu Guan, Jason Ho, Robert Krider, Jiguo Cao, and Andrew Fogg
A hierarchical spline model for correcting and hindcasting temperature data Theodoros Economou, Catrina Johnson, and Elizabeth Dyson
Selecting invalid instruments to improve Mendelian randomization with two-sample summary data Ashish Patel, Francis J DiTraglia, Verena Zuber, and Stephen Burgess
Investigating swimming technical skills by a double partition clustering of multivariate functional data allowing for dimension selection Antoine Bouvet, Salima El-Kolei, and Matthieu Marbac
Continuous and Atlas-free Analysis of Brain Structural Connectivity William Consagra, Martin Cole, Xing Qiu, and Zhengwu Zhang
A bootstrap model comparison test for identifying genes with context-specific patterns of genetic regulation Mykhaylo M. Malakhov, Ben Dai, Xiaotong T. Shen, and Wei Pan
Patient Recruitment Using Electronic Health Records Under Selection Bias: a Two-phase Sampling Framework Guanghao Zhang, Lauren Beesley, Bhramar Mukherjee, and Xu Shi
A Novel Bayesian Model For Assessing Intratumor Heterogeneity of Tumor Infiltrating Leukocytes with Multi-Region Gene Expression Sequencing Peng Yang
Scalable Multiple Network Inference with the Joint Graphical Horseshoe Camilla Lingjaerde, Benjamin P. Fairfax, Sylvia Richardson, and Hélène Ruffieux
Joint Mixed Membership Modeling of Multivariate Longitudinal and Survival Data for Learning the Individualized Disease Progression Yuyang He, Xinyuan Song, and Kai Kang
Outcome-guided Disease Subtyping by Generative Model and Weighted Joint Likelihood in Transcriptomic Applications George C Tseng
Learning and forecasting of age-specific period mortality via B-spline processes with locally-adaptive dynamic coefficients Federico Pavone, Sirio Legramanti, and Daniele Durante
Latent Conjunctive Bayesian Network: Unify Attribute Hierarchy and Bayesian Network for Cognitive Diagnosis Seunghyun Lee and Yuqi Gu
Quantile regression decomposition analysis of disparity research using complex survey data: Application to disparities in BMI and telomere length between U.S. minority and white population groups Hyokyoung Grace Hong, Barry I Graubard, Joseph L Gastwirth, and Mi-Ok Kim
Bayesian hidden Markov models for latent variable labeling assignments in conflict research: application to the role ceasefires play in conflict dynamics Jonathan Paul Williams, Gudmund H Hermansen, Håvard Strand, Govinda Clayton, Håvard Mokleiv Nygård, and Siri Aas Rustad
Semiparametric estimation for dynamic networks with shifted connecting intensities Zitong Zhang and Shizhe Chen
A Nonparametric Mixed-Effects Mixture Model for Patterns of Clinical Measurements Associated with COVID-19 Yuedong Wang
Benefits and costs of matching prior to a Difference in Differences analysis when parallel trends does not hold Dae Woong Ham and Luke Miratrix
A latent process model for monitoring progress towards hard-to-measure targets, with applications to mental health and online educational assessments Minjeong Jeon and Michael Schweinberger
Exposure Effects on Count Outcomes with Observational Data, with Application to Incarcerated Women Bonnie E Shook-Sa, Michael G Hudgens, Andrea K Knittel, Andrew Edmonds, Catalina Ramirez, Stephen R Cole, Mardge Cohen, Adebola Adedimeji, Tonya Taylor, Katherine G Michel, Andrea Kovacs, Jennifer Cohen, Jessica Donohue, Antonina Foster, Margaret A Fischl, Dustin Long, and Adaora A Adimora
Support Vector Machine for Dynamic Survival Prediction with Time-Dependent Covariates Wenyi Xie, Donglin Zeng, and Yuanjia Wang
Non-convex SVM for cancer diagnosis based on morphologic features of tumor microenvironment Sean Kent and Menggang Yu
Probabilistic Contrastive Dimension Reduction for Case-Control Study Data Didong Li, Andrew C Jones, and Barbara E Engelhardt
Modeling Curves and Derivatives as Predictors for Traffic Breakdown Probabilities Jeng-Min Chiou and Pai-Ling Li
Surrogate method for partial association between mixed data with application to well-being survey analysis Shaobo Li, Zhaohu Fan, Ivy Liu, Philip S. Morrison, and Dungang Liu
An integrative network-based mediation model (NMM) to estimate multiple genetic effects on outcomes mediated by functional connectivity Wei Dai and Heping Zhang
Semiparametric Linear Regression with an Interval-Censored Covariate in the Atherosclerosis Risk in Communities Study Richard Sizelove, Donglin Zeng, and Danyu Lin
Semi-parametric modeling of SARS-CoV-2 transmission using tests, cases, deaths, and seroprevalence data Damon Bayer, Isaac Goldstein, Jonathan Fintzi, Keith Lumbard, Emily Ricotta, Sarah Warner, Jeffrey Strich, Daniel Chertow, Lindsay Busch, Daniel Parker, Bernadette Boden-Albala, Richard Chhuon, Matthew Zahn, Nichole Quick, Alissa Dratch, and Volodymyr M. Minin
Bayesian Joint Modeling of High-Dimensional Discrete Multivariate Longitudinal Data using Generalized Linear Mixed Models Paloma Hauser, Xianming Tan, Fang Chen, Ronald C Chen, and Joseph G Ibrahim
Assessing aquatic toxicity assessment via a clustered variance model Xin Wang and Jing Zhang
A Latent Variable Approach for Modeling Relational Data with Multiple Receivers Joris Mulder and Peter D. Hoff
Sparse Clustering for Customer Segmentation with High-dimensional Mixed-type Data Feifei Wang, Shaodong Xu, Yichen Qin, Ye Shen, and Yang Li
Evaluation of transplant benefits with the U.S. Scientific Registry of Transplant Recipients by semiparametric regression of mean residual life Ge Zhao, Yanyuan Ma, Huazhen Lin, and Yi Li
Site occupancy and abundance models for analyzing multiple-visit detection/nondetection data Huu-Dinh Huynh, Matthew Schofield, and Wen-Han Hwang
Joint Modeling of Multistate and Nonparametric Multivariate Longitudinal Data Lu You, Falastin Salami, Carina Törn, Åke Lernmark, and Roy Tamura
Latent level correlation modeling of multivariate discrete-valued financial time series Yanzhao Wang, Haitao Liu, Jian Zou, and Nalini Ravishanker
A Forensic Statistical Analysis of Fraud in the Federal Food Stamp Program Jonathan Ross Woody, Zhicong Zhao, Robert Lund, and Tung-Lung Wu
Bayesian Sparse Vector Autoregressive Switching Models with Application to Human Gesture Phase Segmentation Beniamino Hadj-Amar, Jack Jewson, and Marina Vannucci
Mixture Conditional Regression with Ultrahigh Dimensional Text Data for Estimating Extralegal Factor Effects Fang Wang
A flexible model for correlated count data, with application to multi-condition differential expression analyses of single-cell RNA sequencing data Yusha Liu, Peter Carbonetto, Michihiro Takahama, Adam Gruenbaum, Dongyue Xie, Nicolas Chevrier, and Matthew Stephens