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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.

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
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
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
Periodogram Regression, a Two Stage Mixed Effects Approach for Modelling Multiple Integer-Valued Time Series of Tropical Cyclone Frequency Lyuyuan Zhang, Guoqi Qian, and Sourav Das
Weighted Biomarker Variability in Joint Analysis of Longitudinal and Time-to-Event Data Chunyu Wang, Jiaming Shen, Christiana Charalambous, and Jianxin Pan
Bivariate Functional Patterns of Lifetime Medicare Costs among ESRD Patients Yue Wang, Bin Nan, and John D Kalbfleisch
Model-robust Bayesian design through Generalised Additive Models for monitoring submerged shoals Dilishiya Kalpani De Silva, James McGree, Helen Thompson, Rebecca Fisher, and Ben Radford
Are Made and Missed Different? An analysis of Field Goal Attempts of Professional Basketball Players via Depth Based Testing Procedure Kai Qi, Guanyu Hu, and Wei Wu
Prediction intervals for economic fixed-event forecasts Fabian Krüger and Hendrik Plett
Integrating Mendelian Randomization with causal mediation analyses for characterizing direct and indirect exposure-to-outcome effects Fan Yang, Lin S. Chen, Shahram Oveisgharan, Dawood Darbar, and David A. Bennett
A Copula Model for Marked Point Process with A Terminal Event: An Application in Dynamic Prediction of Insurance Claims Lu Yang, Peng Shi, and Shimeng Huang
Regularized scalar-on-function regression analysis to assess functional association of critical physical activity window with biological age Margaret M. Banker, Leyao Zhang, and Peter X.K. Song
Causal health impacts of power plant emission controls under modeled and uncertain physical process interference Nathan B Wikle and Corwin M Zigler