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Papers to Appear in Subsequent Issues


Fitting stochastic epidemic models to gene genealogies using linear noise approximation Mingwei Tang, Gytis Dudas, Trevor Bedford, and Vladimir N. Minin
A Marginal Structural Model for Partial Compliance in SMARTs William Jeremy Artman, Ashkan Ertefaie, Kevin G Lynch, James R McKay, and Brent A Johnson
Social Distancing and Covid-19: Randomization Inference for a Structured Dose-Response Relationship Bo Zhang, Siyu Heng, Ting Ye, and Dylan Small
Control Charts For Dynamic Process Monitoring With An Application To Air Pollution Surveillance Xiulin Xie and Peihua Qiu
Complex Discontinuity Designs Using Covariates: Impact of School Grade Retention on Later Life Outcomes in Chile Juan D Diaz and Jose R Zubizarreta
Social Order Statistics Models for Ranking Data Jiaqi Gu and Philip L.H. Yu
Probabilistic HIV Recency Classification — A Logistic Regression without Labeled Individual Level Training Data Ben Sheng, Changcheng Li, Le Bao, and Runze Li
Analyzing animal escape data with circular nonparametric multimodal regression María Alonso-Pena and Rosa M. Crujeiras
Sequential Sampling in Prospective Observational Studies Mary Margaret Ryan and Daniel Gillen
Conex-Connect: Learning Patterns in Extremal Brain Connectivity From Multi-Channel EEG Data Matheus Bartolo Guerrero, Raphael Huser, and Hernando Ombao
Bayesian classification, anomaly detection, and survival analysis using network inputs with application to the microbiome Nathaniel Josephs, Lizhen Lin, Steven Rosenberg, and Eric D. Kolaczyk
Regularized Fingerprinting in Detection and Attribution of Climate Change with Weight Matrix Optimizing the Efficiency in  Scaling Factor Estimation Yan Li, Kun Chen, Jun Yan, and Xuebin Zhang
A Multivariate Frequency-Severity Framework for Healthcare Data Breaches Sun Hong, Maochao Xu, and Peng Zhao
Generalized Theme Dictionary Models for Association Pattern Discovery Yang Yang and Ke Deng
Estimating the Average Treatment Effect in Randomized Clinical Trials with All-or-None Compliance Zhiwei Zhang, Zonghui Hu, Dean Follmann, and Lei Nie
Model Selection for  Maternal Hypertensive Disorders with Symmetric Hierarchical Dirichlet Processes Beatrice Franzolini, Antonio Lijoi, and Igor Pruenster
Hospital Quality Risk Standardization via Approximate Balancing Weights Luke Keele, Eli Ben-Michael, Avi Feller, Rachel Kelz, and Luke Miratrix
Bayesian Non-Homogeneous Hidden Markov Model with Variable Selection for Investigating Drivers of Seizure Risk Cycling Emily Wang, Sharon Chiang, Zulfi Haneef, Vikram Rao, Robert Moss, and Marina Vannucci
Modeling Cell Populations Measured By Flow Cytometry With Covariates Using Sparse Mixture of Regressions Sangwon Hyun, Mattias Rolf Cape, Francois Ribalet, and Jacob Bien
Generalized fiducial factor: an alternative to the Bayes factor for forensic identification of source problems Jonathan P Williams, Danica M Ommen, and Jan Hannig
Topological Learning for Brain Networks Tananun Songdechakraiwut and Moo K Chung
Individualized Risk Assessment of Preoperative Opioid Use by Interpretable Neural Network Regression Yuming Sun, Jian Kang, Chad Brummett, and Yi Li
Statistical matching and subclassification with a continuous dose: characterization, algorithm, and application to a study of the effect of transesophageal echocardiography on post-surgery clinical outcomes Bo Zhang, Emily Mackay, and Mike Baiocchi
Estimation of Gaussian directed acyclic graphs using partial ordering information with applications to DREAM3  networks and dairy cattle data Syed Rahman, Kshitij Khare, George Michailidis, Carlos Martinez, and Juan Carulla
Robust Sensible Adversarial Learning of Deep Neural Networks for Image Classification Xiao Wang
Estimating promotion effects in email marketing using a large-scale cross-classified Bayesian joint model for nested imbalanced data Sabyasachi Mukhopadhay, Wreetabrata Kar, and Gourab Mukherjee
Modeling panels of extremes Debbie Dupuis, Sebastian Engelke, and Luca Trapin
A Variational Bayesian Approach to Identifying Whole-Brain Directional Networks with fMRI Data Yaotian Wang, Guofen Yan, Xiaofeng Wang, and Tingting Zhang
Subject-Specific Dirichlet-Multinomial Regression for Multi-District Microbiota Data Analysis Matteo Pedone, Amedeo Amedei, and Francesco Claudio Stingo
Spatiotemporal wildfire modeling through point processes with moderate and extreme marks Jonathan Koh, François Pimont, Jean-Luc Dupuy, and Thomas Opitz
Bayesian Clustering of Spatial Functional Data with Application to a Human Mobility Study During COVID-19 Bohai Zhang, Huiyan Sang, Zhao Tang Luo, and Hui Huang
Designing experiments for estimating an appropriate outlet size for a silo type problem Jose Moler, Jesus Lopez-Fidalgo, and Caterina May
TEAM: A Multiple Testing Algorithm on the Aggregation Tree for Flow Cytometry Analysis John Pura, Xuechan Li, Cliburn Chan, and Jichun Xie
ALPHA: Audit that Learns from Previously Hand-Audited Ballots Philip B Stark
Model Selection Uncertainty and Stability in Beta Regression Models: A Study of Bootstrap-Based Model Averaging with an Empirical Application to Clickstream Data Corban Allenbrand and Ben Sherwood
Do Forecasts of Bankruptcy Cause Bankruptcy? A Machine Learning Sensitivity Analysis Demetrios Papakostas, Richard Hahn, Jared Murray, Frank Zhou, and Joseph Gerakos
Time-discretization approximation enriches continuous-time discrete-space models for animal movement Joshua Hewitt, Alan E Gelfand, and Robert S Schick
Nested Conformal Prediction Sets for Classification with Applications to Probation Data Arun Kumar Kuchibhotla and Richard A Berk
Handling Categorical Features with Many Levels Using a Product Partition Model Renato Assuncao, Túlio Criscuolo, Rosângela Loschi, Wagner Meira, and Danna Cruz-Reyes
PALM: Patient-centered Treatment Ranking via Large-scale Multivariate Network Meta-analysis Rui Duan, Jiayi Tong, Lifeng Lin, Lisa Levine, Mary Sammel, Joel Stoddard, Tianjing Li, Christopher Schmid, Haitao Chu, and Yong Chen
Many-to-One indirect sampling with application to the French postal traffic estimation Estelle Medous, Camelia Goga, Anne Ruiz-Gazen, Jean-François Beaumont, Alain Dessertaine, and Pauline Puech
Estimating the effects of a California gun control program with Multitask Gaussian Processes Eli Ben-Michael, David Arbour, Avi Feller, Alex Franks, and Steven Raphael
Modeling a Nonlinear Biophysical Trend Followed by Long-Memory Equilibrium with Unknown Change Point Wenyu Zhang, Maryclare Griffin, and David Matteson
Robust joint modelling of left-censored longitudinal data and survival data, with application to HIV vaccine studies Lang Wu
Bayesian Decision Theory for Tree-Based Adaptive Screening Tests with an Application to Youth Delinquency Chelsea Krantsevich, P. Richard Hahn, Yi Zheng, and Charles Katz
Bayesian Cox Regression for Large-scale Inference with Applications to Electronic Health Records Alexander Wolfgang Jung and Moritz Gerstung
Statistical Modeling of Longitudinal Medical Cost Trajectory with Insurance Claims Data Shikun Wang
Cytopt: Optimal Transport with Domain Adaptation for Interpreting Flow Cytometry Data Paul Freulon, Jérémie Bigot, and Boris Hejblum
A Tensor Decomposition Model for Longitudinal Microbiome Studies Siyuan Ma and Hongzhe Li
A Rotation-Based Feature and Bayesian Hierarchical Model for the Forensic Evaluation of Handwriting Evidence in a Closed Set Amy M Crawford, Danica M Ommen, and Alicia Carriquiry
Knockoffs with Side Information Zhimei Ren and Emmanuel Candès
Latent Multivariate Log-Gamma Models for High-Dimensional Multi-Type Responses with Application to Daily Fine Particulate Matter and Mortality Counts Zhixing Xu, Jonathan Ray Bradley, and Debajyoti Sinha
Identification of immune response combinations associated with heterogeneous infection risk in the immune correlate analysis of HIV vaccine studies Chae Ryon Kang and Ying Huang
Bayesian Analysis for Imbalanced Positive-Unlabelled Diagnosis Codes in Electronic Health Records Ru Wang, Ye Liang, Zhuqi Miao, and Tieming Liu
Surrogate marker assessment using mediation and instrumental variable analyses in a case-cohort design Yen-Tsung Huang, Jih-Chang Yu, and Jui-Hsiang Lin
Detecting Distributional Differences in Labeled Sequence Data with Application to Tropical Cyclone Satellite Imagery Trey McNeely, Galen Vincent, Kimberly M Wood, Rafael Izbicki, and Ann B Lee
A Bayesian accelerated failure time model for interval-censored three-state screening outcomes Thomas Klausch, Eddymurphy U. Akwiwu, Mark A. van de Wiel, Veerle M.H. Coupé, and Johannes Berkhof
LOCUS: A regularized blind source separation method with low-rank structure for investigating brain connectivity Yikai Wang and Ying Guo
Real-Time Mechanistic Bayesian Forecasts of Covid-19 Mortality Graham Casey Gibson, Nicholas Reich, and Daniel Sheldon
Simulating flood event sets using extremal principal components Christian Rohrbeck and Daniel Cooley
Estimating Global and Country-Specific Excess Mortality During the COVID-19 Pandemic Jon Wakefield, Victoria Knutson, Serge Aleshin-Guendel, Ariel Karlinsky, and William Msemburi
Dynamic risk prediction triggered by intermediate events using survival tree ensembles Yifei Sun, Sy Han Chiou, Colin Wu, Meghan McGarry, and Chiung-Yu Huang
Mixed-frequency extreme value regression: estimating the effect of Mesoscale Convective Systems on extreme rainfall intensity Debbie J. Dupuis and Luca Trapin
Lagged couplings diagnose Markov chain Monte Carlo phylogenetic inference Luke Kelly, Robin Ryder, and Grégoire Clarté
Co-clustering of Spatially Resolved Transcriptomic Data Andrea Sottosanti and Davide Risso
Balancing Weights for Region-Level Analysis: The Effect of Medicaid Expansion on the Uninsurance Rate Among States That did not Expand Medicaid Max Rubinstein, Amelia Haviland, and David Choi
Spatio-temporal Local Interpolation of Global Ocean Heat Transport using Argo Floats: A Debiased Latent Gaussian Process Approach Beomjo Park, Mikael Kuusela, Donata Giglio, and Alison Gray
Latent variable models for multivariate dyadic data with zero inflation: Analysis of intergenerational exchanges of family support Jouni Kuha, Siliang Zhang, and Fiona Steele
A Bayesian panel VAR model to analyze the impact of climate change on high-income economies Florian Huber, Tamas Krisztin, and Michael Pfarrhofer
Estimation and inference for exposure effects with latency in the Cox proportional hazards model in the presence of exposure measurement error Sarah Peskoe, Ning Zhang, Donna Spiegelman, and Molin Wang
Calibration of Spatio-Temporal Forecasts from Citizen Science Urban Air Pollution Data with Sparse Recurrent Neural Networks Matthew Bonas and Stefano Castruccio
Randomization Inference for Cluster-Randomized Test-Negative Designs with Application to Dengue Studies: Unbiased estimation, Partial compliance, and Stepped-wedge design Bingkai Wang, Suzanne M. Dufault, Dylan S. Small, and Nicholas P. Jewell
Variational Bayesian Analysis of Nonhomogeneous Hidden Markov Models with Long and Ultra-long Sequences Xinyuan Chen, Yiwei Li, Joseph Chang, and Xiangnan Feng
Tracking hematopoietic stem cell evolution in a Wiskott-Aldrich clinical trial Danilo Pellin, Luca Biasco, Serena Scala, Maria-Clelia di Serio, and Ernst C Wit
How Close and How Much? Linking Health Outcomes to Built Environment Spatial Distributions Adam Peterson, Veronica Berrocal, Emma Sanchez-Vaznaugh, and Brisa Sanchez
Truncated Rank-Based Tests for Two-Part Models with Excessive Zeros and Applications to Microbiome Data Wanjie Wang, Zhang Eric Chen, and Hongzhe Li
Distinct: a novel approach to differential distribution analyses Simone Tiberi, Helena L Crowell, Pantelis Samartsidis, Lukas M Weber, and Mark D Robinson
Bayesian Modeling of Interaction between Features in Sparse Multivariate Count Data with Application to Microbiome Study Shuangjie Zhang, Yuning Shen, Irene A. Chen, and Juhee Lee
The Risk of Maternal Complications After Cesarean Delivery: Near-Far Matching for Instrumental Variables Study Designs with Large Observational Datasets Ruoqi Yu, Rachel Kelz, Scott Lorch, and Luke Keele
Integrating Multiple Built Environment Data Sources Jung Yeon Won
Marginally Calibrated Response Distributions for End-to-End Learning in Autonomous Driving Clara Hoffmann and Nadja Klein
Estimating Causal Effects of HIV Prevention Interventions with Interference in Network-based Studies among People who Inject Drugs TingFang Lee, Ashley Buchanan, Natiallia Katenka, Laura Forastiere, M.  Elizabeth Halloran, Samuel Friedman, and Georgios Nikolopoulos
Leveraging Hardy-Weinberg Disequilibrium for Association Testing in Case-Control Studies Lin Zhang, Lisa Johanna Strug, and Lei Sun
Probabilistic Learning of Treatment Trees in Cancer Tsung-Hung Yao, Zhenke Wu, Karthik Bharath, Jinju Li, and Veerabhadran Baladandayuthapani
Sequentially valid tests for forecast calibration Alexander Henzi, Sebastian Arnold, and Johanna F. Ziegel
Bayesian Additive Regression Trees for Genotype Byenvironment Interaction Models Danilo Augusto Sarti, Estevão Batista Prado, Alan N. Inglis, Antônia Alessandra Lemos Dos Santos, Catherine B. Hurley, Rafael Andrade Moral, and Andrew C. Parnell
Bivariate Hierarchical Bayesian Model for Combining Summary Measures and Their Uncertainties from Multiple Sources Yujing Yao, R. Todd Ogden, Chubing Zeng, and Qixuan Chen
A Multi-Agent Reinforcement Learning Framework for Treatment Effects Evaluation in Two-sided Markets Chengchun Shi, Runzhe Wan, Ge Song, Shikai Luo, Rui Song, and Hongtu Zhu
The scalable Birth-Death MCMC Algorithm for Mixed Graphical Model Learning with Application to Genomic Data Integration Nanwei Wang, Helene Massam, Xin Gao, and Laurent Briollais
A High-dimensional Approach to Measure Connectivity in the Financial Sector Sumanta Basu, George Michailidis, Sreyoshi Das, and Amiyatosh Purnanandam
A Bayesian Hierarchical Model Framework to Quantify Uncertainty of Tropical Cyclone Precipitation Forecasts Stephen Alexander Walsh
Joint Point and Variance Estimation under a Hierarchical Bayesian model for Survey Count Data Terrance Dean Savitsky, Julie Gershunskaya, and Mark Crankshaw
Data-Adaptive Discriminative Feature Localization with Statistically Guaranteed Interpretation Ben Dai, Xiaotong Shen, Lin Yee Chen, Chunlin Li, and Wei Pan
Dynamic Prediction of Residual Life with Longitudinal Covariates Using Long Short-Term Memory Networks Grace Rhodes, Marie Davidian, and Wenbin Lu
Post-election Analysis of Presidential Election/Poll Data Jiming Jiang, Yuanyuan Li, and Peter X. K. Song
Log-Gaussian Cox Process Modeling of Large Spatial Lightning Data using Spectral and Laplace Approximations Megan Gelsinger, Maryclare Griffin, David Matteson, and Joseph Guinness
Graph-aware Modeling of Brain Connectivity Networks Yura Kim, Daniel Kessler, and Elizaveta Levina
Bayesian model selection: Application to adjustment of fundamental physical constants Olha Bodnar and Viktor Eriksson
Modeling racial/ethnic differences in COVID-19 incidence with covariates subject to non-random missingness Rob Trangucci, Yang Chen, and Jon Zelner
Leveraging Population Outcomes to Improve the Generalization of Experimental Results: Application to the JTPA Study Melody Huang, Naoki Egami, Erin Hartman, and Luke Miratrix
Estimating Causal Effects of HIV Prevention Interventions with Interference in Network-based Studies among People who Inject Drugs TingFang Lee, Ashley Buchanan, Natiallia Katenka, Laura Forastiere, M.  Elizabeth Halloran, Samuel Friedman, and Georgios Nikolopoulos
Using Persistent Homology Topological Features to Characterize Medical Images: Case Studies on Lung and Brain Cancers Chul Moon, Qiwei Li, and Guanghua Xiao
Bayesian Combinatorial Multi-Study Factor Analysis Isabella N Grabski, Roberta N. Devito, Lorenzo Trippa, and Giovanni Parmigiani
Using Proxies to Improve Forecast Evaluation Hajo Holzmann and Bernhard Klar
Bayesian Nonparametric Mixture Modeling for Temporal Dynamics of Gender Stereotypes Maria De Iorio, Stefano Favaro, Alessandra Guglielmi, and Lifeng Ye
The Bayesian Nested Lasso for Mixed Frequency Regression Models George Michailidis
Spatial quantile autoregression for season within year daily maximum temperature data Jorge Castillo-Mateo, Jesús Asín, Ana C. Cebrián, Alan E. Gelfand, and Jesús Abaurrea
A dynamic screening algorithm for hierarchical binary marketing data Yimei Fan, Yuan Liao, Ilya O Ryzhov, and Kunpeng Zhang
Penalized Estimating Equations for Generalized Linear Models with Multiple Imputation Yang Li, Haoyu Yang, Haochen Yu, Hanwen Huang, and Ye Shen