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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
Modified Treatment Policy Effect Estimation with Weighted Energy Distance Ziren Jiang and Jared Davis Huling
Inferring Epidemics From Multiple Dependent Data via Pseudo-Marginal Methods Alice Corbella, Anne M Presanis, Paul J Birrell, and Daniela De Angelis
Data Harmonization Via Regularized Nonparametric Mixing Distribution Estimation Steven Wilkins-Reeves, Yen-Chi Chen, and Kwun Chuen (Gary) Chan
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
Assessing Influential Observations in Pain Prediction using fMRI Data Dongliang Zhang, Masoud Asgharian, and Martin A. Lindquist
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
A Finite Population Parametric Bayesian Bootstrap for Quick Counts Stephen Graham Walker, Carlos E. Rodriguez, and Ramses H. Mena
Tree-Regularized Bayesian Latent Class Analysis for Improving Weakly Separated Dietary Pattern Subtyping in Small-Sized Subpopulations Mengbing Li, Briana Stephenson, and Zhenke Wu
Estimation for Multistate Models Subject to Reporting Delays and Incomplete Event Adjudication with Application to Disability Insurance Kristian Buchardt, Christian Furrer, and Oliver Lunding Sandqvist
Media Bias and Polarization through the Lens of a Markov Switching Latent Space Network Model Roberto Casarin, Antonio Peruzzi, and Mark Steel
Varying Coefficients Correlated Velocity Models in Complex Landscapes with Boundaries Applied to Narwhal Responses to Noise Exposure Alexandre Delporte, Susanne Ditlevsen, and Adeline Samson
Multi-object Data Integration in the Study of Primary Progressive Aphasia Rene Gutierrez, Aaron Scheffler, Rajarshi Guhaniyogi, Maria Gorno-Tempini, Maria Mandelli, and Giovanni Battistella
Mapping Food Insecurity in the Brazilian Amazon Using a Spatial Item Factor Analysis Model Erick Albacharro Chacón-Montalván, Luke Parry, Emanuele Giorgi, Patricia Torres, Jesem Orellana, Paula Moraga, and Benjamin Matthew Taylor
Bayesian Group-Shrinkage Based Estimation for Panel Vector Autoregressive Models with Mixed Frequency Data George Michailidis
Normalized Area Above Quantile: An Alternative Measure to Restricted Mean Survival Time Chenyang Zhang, Jiaqi Gu, Yuanshan Wu, and Guosheng Yin
Optimal Robust Strategies for Accelerated Life Tests and Fatigue Testing of Polymer Composite Materials I-Chen Lee, Ray-Bing Chen, and Weng Kee Wong
Time-Varying Mediation Analysis for Incomplete Data with Application to DNA Methylation Study for PTSD Kecheng Wei, Fei Xue, Qi Xu, Yubai Yuan, Yuexia Zhang, Guoyou Qin, Agaz Wani, Allison Aiello, Derek Wildman, Monica Uddin, and Annie Qu
Exploring Spatialtemporal Variation in Covid-19 Waves:  Non-Euclidean Spatially Aware Functional Registration Luke A Barratt and John A D Aston
B-BIND: Biophysical Bayesian Inference for Neurodegenerative Dynamics Anamika Agrawal, Victoria M. Rachleff, Kyle J. Travaglini, Shubhabrata Mukherjee, Paul K. Crane, Michael Hawrylycz, Dirk C. Keene, Ed Lein, Gonzalo Mena, and Mariano Ignacio Gabitto
Expected Points Above Average: A Novel NBA Player Metric Based on Bayesian Hierarchical Modeling Ryan Elmore, Benjamin Williams, Erin Schiep, and Bailey Fosdick
A Bayesian Reinforcement Learning Framework for Optimizing the BCI-utility of P300 Brain-Computer Interfaces Bangyao Zhao, Yixin Wang, Jane Huggins, and Jian Kang
Simultaneous Adjustment of Nonignorable Verification Bias and Imperfect Gold Standard Bias in Diagnostic Test Studies, with An Application to Alzheimer’s Disease Detection Qianchen Tai and Xiao-Hua Zhou
Spatial Hyperspheric Models for Compositional Data Michael Richard Schwob, Mevin B Hooten, Nicholas M Calzada, and Timothy H Keitt
Personalized Risk Prediction for Cancer Survivors: A Generalized Bayesian Semi-Parametric Model of Recurrent Events with Competing Outcomes Nam Hoai Nguyen, Seung Jun Shin, Elissa Dodd-Eaton, Jing Ning, and Wenyi Wang
Network Inference via Approximate Bayesian Computation. Illustration on a Stochastic Multi-Population Neural Mass Model Susanne Ditlevsen, Massimiliano Tamborrino, and Irene Tubikanec
The Dynamic Interplay of Clan Culture and Socioeconomic Factors on Fertility: Evidence from China Cong Li, Yitao Wang, Jiguo Cao, Jinhong You, and Hua Liu
A Bayesian Joint Model of Multiple Longitudinal and Categorical Outcomes with Application to Multiple Myeloma Using Permutation-Based Variable Importance Danilo Alvares
Seemingly Unrelated Bayesian Additive Regression Trees for Cost-Effectiveness Analyses in Healthcare Jonas Esser, Mateus Maia, Andrew C. Parnell, Judith E. Bosmans, Johanna M. van Dongen, Thomas Klausch, and Keefe Murphy
Clipped Multiscale Spatial Processes for Multivariate Plant Cover Data Wilson Wright, Peter Neitlich, and Mevin Hooten
Learning Massive-scale Partial Correlation Networks in Clinical Multi-omics Studies with HP-ACCORD Sungdong Lee, Joshua Bang, Youngrae Kim, Hyungwon Choi, Sang-Yun Oh, and Joong-Ho Won
Improving Accuracy in Cell-Perturbation Experiments by Leveraging Auxiliary Information Jackson Hoy Loper, Noam Solomon, and Jeffrey Regier
Tomographic Reconstruction of Disease Transmission Landscapes from GPS-Recorded Random Paths Jairo Diaz-Rodriguez, Juan Pablo Gomez, Jeremy P. Orange, Nathan D. Burkett-Cadena, Samantha M. Wisely, Jason K. Blackburn, and Sylvain Sardy
Studying the Long-Term Natural History of Diseases Using a Shape-Restricted Nonparametric Temporal Realignment Method Joshua L. Warren, Ottavia Prunas, and Liangbo Linus Shen
Supervised Learning of Outcome-Relevant Items From a Questionnaire via Mixed Integer Optimization Leyao Zhang, Wen Wang, Mengtong Hu, Alan P. Baptist, Peng Wang, and Peter X.K. Song
Online Sequential Leveraging Sampling Method for Streaming Autoregressive Time Series with Application to Seismic Data Rui Xie, T.N. Sriram, Wei Biao Wu, and Ping Ma
Simple Macroeconomic Forecast Distributions for the G7 Economies Friederike Becker, Fabian Krüger, and Melanie Schienle
Leveraging an Observed-Data Likelihood Improves the Use of Machine Learning Labels in a Bayesian Hierarchical Model for Bioacoustic Data Jacob Oram, Katharine Banner, Christian Stratton, Andrew Hoegh, and Kathryn Irvine
Joint Identification of Spatially Variable Genes via a Network-Assisted Bayesian Regularization Approach Mingcong Wu, Yang Li, Shuangge Ma, and Mengyun Wu
Dynamic Prediction with Penalized Joint Frailty Model of High-Dimensional Recurrent Event Data and a Survival Outcome Jiehuan Sun
DEMO: Dose Exploration, Monitoring, and Optimization Using Biological and Clinical Outcomes Cheng-Han Yang, Peter F. Thall, and Ruitao Lin
Temporal Models for Estimation and Short-Term Forecasting of Neonatal Mortality Rates in Sub-Saharan Africa Katherine R Paulson, Geir-Arne Fuglstad, Zehang Richard Li, and Jonathan Wakefield
Probabilistic Inversion Modeling of Gas Emissions: A Gradient-Based MCMC Estimation of Gaussian Plume Parameters Thomas Hugo and Pierre Newman
Feature Screening for Clustering Analysis of Count Data With an Application to Single-Cell RNA-Sequencing Ruibin Xi, Changhu Wang, and Zihao Chen
Estimating the Time-to-Event Distribution for Loan-Level Data Within a Consumer Auto Loan Asset-Backed Security Jackson Lautier, Vladimir Pozdnyakov, and Jun Yan
Constrained Mixture-of-Mixture Model with Application to Keystroke Dynamics Andrew Simpson and Semhar Michael
Analysing Dynamic Cross-Price Dependencies with a Markov-Switching Spatial Autoregressive Model Matteo Iacopini, Tamas Krisztin, and Philipp Piribauer
Statistical Learning of Trade Credit Insurance Network Data with Applications to Ratemaking and Reserving Woongchae Yoo, Spark C. Tseung, and Tsz Chai Fung
Inference on the State Process of Periodically Inhomogeneous Hidden Markov Models for Animal Behavior Jan-Ole Koslik, Carlina C. Feldmann, Sina Mews, Rouven Michels, and Roland Langrock
Bayesian Image-on-Image Regression via Deep Kernel Learning based Gaussian Processes Guoxuan Ma, Bangyao Zhao, Hasan Abu-Amara and Jian Kang
Moving Towards Automated Interstellar Boundary Explorer Data Selection with LOTUS Madeline A. Stricklin, Lauren J. Beesley, Brian P. Weaver, Kelly R. Moran, Dave Osthus, Paul H. Janzen, Grant David Meadors and Daniel B. Reisenfeld
Functional Mixture Regression Control Chart Christian Capezza, Fabio Centofanti, Davide Forcina, Antonio Lepore and Biagio Palumbo
Latent Class Analysis with Discrete Failure Time Model Qinmengge Li, Kevin He, Lam C. Tsoi and Jian Kang
Joint modeling for learning decision-making dynamics in behavioral experiments Yuan Bian, Xingche Guo and Yuanjia Wang
Statistical Inference for Covariate-Adjusted and Interpretable Generalized Latent Factor Model with Application to Testing Fairness Jing Ouyang, Chengyu Cui, Kean Ming Tan and Gongjun Xu
Sequence Interaction Model with Applications to TCR-Peptide Binding Ran Liu, Xinyi Tang and Xiaodan Fan
k-Contact Distance for Noisy Nonhomogeneous Spatial Point Data with application to Repeating Fast Radio Burst sources from CHIME/FRB A. M. Cook, Dayi Li, Gwendolyn M. Eadie, David C. Stenning, Paul Scholz, Derek Bingham, Radu Craiu, B. M. Gaensler, Kiyoshi W. Masui, Ziggy Pleunis, Antonio Herrera-Martin, Ronniy C. Joseph, Ayush Pandhi, Aaron B. Pearlman and J. Xavier Prochaska
Integrative Learning of Linear Non-Gaussian Directed Acyclic Graphs with Application on Multi-Source Gene Regulatory Network Analysis Xuanyu Li, Sanguo Zhang, Mingyang Ren and Qingzhao Zhang
Multiply robust estimation for causal survival analysis with treatment noncompliance Chao Cheng, Bo Liu, Lisa Wruck, Fan Li and Fan Li
Inferring the effect of a randomised treatment on a recurrent event process under dependent censoring Wout Waterschoot, Andrea Callegaro, Luca Moraschini and Stijn Vansteelandt
Identification of Genetic Factors Associated with Corpus Callosum Morphology: Conditional Strong Independence Screening for Non-Euclidean Responses Zhe Gao, Jin Zhu, Yue Hu, Wenliang Pan and Xueqin Wang
Spatio-Temporal-Network Point Processes for Modeling Crime Events with Landmarks Zheng Dong, Jorge Mateu and Yao Xie
Latent Space Modeling for Human Disease Network with Temporal Variations: Analysis of Medicare Data Guojun Zhu, Ruiyue Wang, Rong Li, Sanguo Zhang, Shuangge Ma, Guanzhong Qiao and Hao Mei
Quantiled conditional variance, skewness, and kurtosis by Cornish-Fisher expansion Ningning Zhang and Ke Zhu
Ranking and Selection in Large- Scale Inference of Heteroscedastic Units Wenguang Sun
Neural Posterior Estimation with Autoregressive Tiling for Detecting Objects in Astronomical Images Jeffrey Regier
Random forests and mixed effects random forests for small area estimation of general parameters: A poverty mapping case study in Mozambique Patrick Krennmair, Nora Würz, Timo Schmid and Nikos Tzavidis
Feature Augmentations for High-Dimensional Learning: Applications to Stock Market Prediction Using Chinese News Data Xiaonan Zhu, Bingyan Wang and Jianqing Fan
A Data Envelopment Analysis Approach for Assessing Fairness in Resource Allocation: Application to Kidney Exchange Programs Ali Kaazempur-Mofrad and Xiaowu Dai