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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.

Boosting Data Analytics with Synthetic Volume Expansion Xiaotong Shen, Yifei Liu, and Rex Shen
Contrastive Linear Regression Boyang Zhang, Sarah Nyquist, Andrew C Jones, Barbara Engelhardt, and Didong Li
Selecting Subpopulations for Causal Inference in Regression Discontinuity Designs Laura Forastiere, Alessandra Mattei, Julia Pesarini, Mauricio Barreto, and Fabrizia Mealli
Modified Treatment Policy Effect Estimation With Weighted Energy Distance Ziren Jiang and Jared Davis Huling
Averaged Prediction Models (APM): Identifying Causal Effects in Controlled Pre-post Settings with Application to Gun Policy Thomas Leavitt and Laura Hatfield
Inferring Epidemics From Multiple Dependent Data via Pseudo-Marginal Methods Alice Corbella, Anne M Presanis, Paul J Birrell, and Daniela De Angelis
Multiple Imputation of Hierarchical Nonlinear Time Series Data with an Application to School Enrollment Data Daphne Hong-Hsiao Liu and Adrian Elmes Raftery
Data Harmonization Via Regularized Nonparametric Mixing Distribution Estimation Steven Wilkins-Reeves, Yen-Chi Chen, and Kwun Chuen (Gary) Chan
Clustering and Meta-Analysis Using a Mixture of Dependent Tail-Free Priors Bernardo Flores and Peter Mueller
Informed Bayesian Finite Mixture Models via Asymmetric Dirichlet Priors Garritt L. Page, Massimo Ventrucci, and Maria Franco-Villoria
Surrogate Selection Oversamples Expanded T cell Clonotypes Peng Yu, Yumin Lian, Elliot Xie, Cindy L Zuleger, Richard J Albertini, Mark R Albertini, and Michael A Newton
Mixed Modeling Approach for Characterizing the Genetic Effects in a Longitudinal Phenotype Pei Zhang, Paul S. Albert, and Hyokyoung Grace Hong
Inference with Combined Data from Subgroup Selection and Validation Phases in Clinical Trials Xinzhou Guo, Jianjun Zhou, and Xuming He
Bootstrapping the Cross-Validation Estimate Bryan Cai, Yuanhui Luo, Xinzhou Guo, Fabio Pellegrini, Menglan Pang, Carl de Moor, Changyu Shen, Vivek Charu, and Lu Tian
Distributed Subsampling and Quasi Decorrelated Score for Cluster Data: An Application to Beijing Multi-Site Air Quality Junzhuo Gao, Lei Wang, and Jun Shao
Fast Variable Selection for Distributional Regression With Application to Continuous Glucose Monitoring Data Alexander Coulter, R. Nisha Aurora, Naresh M. Punjabi, and Irina Gaynanova
Estimating Life Expectancy in the Canadian Elderly Population With Dementia Using Prevalent Cohort Survival Data Ali Shariati, Masoud Asgharian, and Vahid Fakoor
Time-to-Event Analysis of Preterm Birth Accounting for Gestational Age Uncertainties Yuzi Zhang, Joshua L. Warren, Hua Hao, and Howard H. Chang
Integrated Depth for Trajectories of Airborne Microorganisms to Antarctica Lucas Fernandez-Piana, Ana Justel, and Marcela Svarc
Bayesian Differential Causal Directed Acyclic Graphs for Observational Zero-Inflated Counts with An Application to Two-Sample Single-Cell Data Junsouk Choi, Robert S. Chapkin, and Yang Ni
Modeling Time-Varying Effects of Mobile Health Interventions Using Longitudinal Functional Data from HeartSteps Micro-Randomized Trial Jiaxin Yu and Tianchen Qian
Factor-Assisted Learning of Ultrahigh-Dimensional Covariates With Distributed Functional and Scalar Mixtures With Applications to the Avon Longitudinal Study of Parents and Children Shoudao Wen, Li Liu, Jin Liu, Yi Li, and Huazhen Lin
Bayesian Learning of Clinically Meaningful Sepsis Phenotypes in Northern Tanzania Alexander Dombowsky, David B. Dunson, Deng B. Madut, Matthew P. Rubach, and Amy H. Herring
Functional-Coefficient Models for Multivariate Time Series in Designed Experiments: with Applications to Brain Signals Paolo Victor Tamoro Redondo, Raphael Huser, and Hernando Ombao
Network-based Modeling of Emotional Expressions for Multiple Cancers via a Linguistic Analysis of an Online Health Community Xinyan Fan, Mengque Liu, and Shuangge Ma
Exact Bayesian Inference for Fitting Stochastic Epidemic Models to Partially Observed Incidence Data Jason Xu
Bayesian Analysis of Verbal Autopsy Data Using Factor Models With Age- and Sex-Dependent Associations Between Symptoms Tsuyoshi Kunihama, Zehang Richard Li, Samuel Clark, and Tyler McCormick
Measuring Information Transfer Between Nodes in a Brain Network through Spectral Transfer Entropy Paolo Victor Tamoro Redondo, Raphael Huser, and Hernando Ombao
Mutually Exciting Point Processes for Crowdfunding Platform Dynamics Alexandra Djorno and Forrest W. Crawford
A Latent Variable Model with Change Points and Its Application to Time Pressure Effects in Educational Assessment Gabriel Wallin, Yunxiao Chen, Yi-Hsuan Lee, and Xiaoou Li
Bayesian Quantile Regression with Subset Selection: A Decision Analysis Perspective Joseph Feldman and Daniel R. Kowal
Assessing Influential Observations in Pain Prediction using fMRI Data Dongliang Zhang, Masoud Asgharian, and Martin A. Lindquist
Integrative Ecological Regression Analysis of US County and State Level COVID-19 Death Data for Studying Health Disparity Associations Daniel Li and Xihong Lin
Global-Local Dirichlet Processes for Identifying Pan-Cancer Subpopulations Using Both Shared and Cancer-Specific Data Arhit Chakrabarti, Yang Ni, Debdeep Pati, and Bani K. Mallick
Cquesst: A Dynamical Stochastic Framework for Predicting Soil-Carbon Sequestration Daniel Edward Pagendam, Jeff Baldock, David Clifford, Ryan Farquharson, Lawrence Murray, Mike Beare, Denis Curtin, and Noel Cressie
Pseudo-Likelihood Ratio Screening based on Network Data with Applications Wei Hu, Danyang Huang, and Bo Zhang
Fast Return-Level Estimates for Flood Insurance via an Improved Bennett Inequality for Random Variables With Differing Upper Bounds Anna Maria Barlow and Chris Sherlock
Treatment Effect Heterogeneity and Importance Measures for Multivariate Continuous Treatments Heejun Shin, Antonio Linero, Michelle Audirac, Kezia Irene, Danielle Braun, and Joseph Antonelli
A Bayesian Record Linkage Approach to Applications in Tree Demography Using Overlapping LiDAR Scans Lane Drew, Andee Kaplan, and Ian Breckheimer
Quantile Regression With a One-Sided Misclassified Binary Regressor Carlos Lamarche
An Accumulation Method for Early Fault Warning and Its Application to Wind Turbine Systems Effi Latiffianti, Shawn Sheng, Marianne Rodgers, Robbie Sanderson, and Yu Ding
Averaging Polyhazard Models Using Piecewise Deterministic Monte Carlo With Applications to Data With Long-Term Survivors Luke Hardcastle, Samuel Livingstone, and Gianluca Baio
Heaping and Seeping, GAITD Regression and Doubly Constrained Reduced Rank Vector Generalized Linear Models, in Smoking Studies Thomas William Yee, Luca Frigau, and Chenchen Ma