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Papers to Appear in Subsequent Issues

Model-based distance embedding with applications to chromosomal conformation biology Yuping Zhang, Disheng Mao, and Zhengqing Ouyang
Contrastive latent variable modeling with application to case-control sequencing experiments Andrew Jones, F William Townes, Didong Li, and Barbara E Engelhardt
B-scaling: A Novel Nonparametric Data Fusion Method Yiwen Liu, Xiaoxiao Sun, Wenxuan Zhong, and Bing Li
Graph link prediction in computer networks using Poisson matrix factorisation Francesco Sanna Passino, Melissa J. M. Turcotte, and Nicholas A. Heard
Matrix Completion Methods for the Total Electron Content Video Reconstruction Hu Sun, Zhijun Hua, Jiaen Ren, Shasha Zou, Yuekai Sun, and Yang Chen
The causal effect of a timeout at stopping an opposing run in the NBA Connor Pierce Gibbs, Ryan Elmore, and Bailey Kathryn Fosdick
Bayesian semiparametric long memory models for discretized event data Antik Chakraborty, Otso Ovaskainen, and David Dunson
C0-Clustering of Multivariate Functional Data for the Analysis of Air Pollution in the South of France Charles Bouveyron, Julien Jacques, Amandine Schmutz, Fanny Simoes, and Silvia Bottini
Integrated Quantile RAnk Test (iQRAT) for gene-level associations in sequencing studies Tianying Wang, Iuliana Ionita-Laza, and Ying Wei
A Novel Framework to Estimate Multi-dimensional Minimum Effective Doses using Asymmetric Posterior Gain and ε-tapering Ying Kuen Cheung, Thevaa Chandereng, and Keith M. Diaz
A Bayesian Precision Medicine Framework for Calibrating Individualized Therapeutic Indices in Cancer Abhisek Saha, Min Jin Ha, Satwik Acharyya, and Veera Baladandayuthapani
Bayesian Local False Discovery Rate for sparse count data with application to the discovery of hotspots in protein domains Iris Ivy M. Gauran, Junyong Park, Ilia Rattsev, Thomas A Peterson, Maricel G Kann, and DoHwan Park
Dirichlet-tree multinomial mixtures for clustering microbiome compositions Jialiang Mao and Li Ma
Semiparametric point process modeling of blinking artifacts in PALM Louis Gammelgaard Jensen, David John Williamson, and Ute Hahn
Semiparametric Bayesian Forecasting of Spatio-Temporal Earthquake Occurrences Gordon J. Ross and Aleksandar A. Kolev
Improved inference on risk measures for univariate extremes Léo Raymond Belzile and Anthony Christopher Davison
A Bayesian hierarchical modeling approach to combining multiple data sources: A case study in size estimation Jacob Lee Parsons, Xiaoyue Maggie Niu, and Le Bao
Estimating mode effects from a sequential mixed-mode experiment using structural moment models Paul Clarke and Yanchun Bao
Measuring performance for end-of-life care Sebastien Haneuse, Deborah Schrag, Francesca Dominici, Sharon-Lise Normand, and Kyu Ha Lee
Semiparametric Multinomial Mixed-Effects Models: A University Students Profiling Tool Chiara Masci, Francesca Ieva, and Anna Maria Paganoni
Critical Window Variable Selection for Mixtures: Estimating the Impact of Multiple Air Pollutants on Stillbirth Joshua L. Warren, Howard H. Chang, Lauren K. Warren, Matthew J. Strickland, Lyndsey A. Darrow, and James A. Mulholland
High-resolution Bayesian mapping of landslide hazard with unobserved trigger event Thomas Opitz, Haakon Bakka, Raphaël Huser, and Luigi Lombardo
Bayesian Functional Registration of fMRI Data Guoqing Wang, Abhirup Datta, and Martin A Lindquist
Joint integrative analysis of multiple data sources with correlated vector outcomes Emily Charlotte Hector and Peter X.-K. Song
Detection of Two-Way Outliers in Multivariate Data and Application to Cheating Detection in Educational Tests Yunxiao Chen, Yan Lu, and Irini Moustaki
Measurement Error Correction in Particle Tracking Microrheology Yun Ling, Martin Lysy, Ian Seim, Jay Newby, David Hill, Jeremy Cribb, and M. Gregory Forest
Sensitivity Analysis for Evaluating Principal Surrogate Endpoints Relaxing the Equal Early Clinical Risk Assumption Ying Huang, Yingying Zhuang, and Peter Gilbert
Parameter Calibration in wake effect simulation model with Stochastic Gradient Descent and stratified sampling Bingjie Liu, Xubo Yue, Eunshin Byon, and Raed Al Kontar
Asymmetric tail dependence modeling, with application to cryptocurrency market data Yan Gong and Raphael Huser
Analysis of presence-only data via exact Bayes, with model and effects identification Guido Alberti Moreira and Dani Gamerman
Estimation of the Marginal Effect of Antidepressants on Body Mass Index Under Confounding and Endogenous Covariate-Driven Monitoring Times Janie Coulombe, Erica E. M. Moodie, Robert W. Platt, and Christel Renoux
Estimating the stillbirth rate for 195 countries using a Bayesian sparse regression model with temporal smoothing Zhengfan Wang, Miranda J. Fix, Lucia Hug, Anu Mishra, Danzhen You, Hannah Blencowe, Jon Wakefield, and Leontine Alkema
Functional random effects modeling of brain shape and connectivity Eardi Lila and John A. D. Aston
Hierarchical Resampling For Bagging In Multi-Study Prediction With Applications To Human Neurochemical Sensing Gabriel Loewinger, Prasad Patil, Kenneth Kishida, and Giovanni Parmigiani
Large-Scale Multivariate Sparse Regression with Applications to UK Biobank Junyang Qian, Yosuke Tanigawa, Ruilin Li, Robert Tibshirani, Manuel A Rivas, and Trevor Hastie
Spatial Functional Data Modeling of Plant Reflectances Philip A. White, Henry Frye, Michael F. Christensen, Alan E. Gelfand, and John A. Silander, Jr.
Ice Model Calibration using Semi-continuous Spatial Data Won Chang, Bledar A. Konomi, Georgios Karagiannis, Yawen Guan, and Murali Haran
Causal inference for time-varying treatments in latent Markov models: An application to the effects of remittances on poverty dynamics Federico Tullio and Francesco Bartolucci
Heterogeneous causal effects with imperfect compliance: a Bayesian machine learning approach Falco J. Bargagli-Stoffi, Kristof De Witte, Giorgio Gnecco
Structured hierarchical models for probabilistic inference from perturbation screening data Simon Dirmeier and Niko Beerenwinkel
Network Differential Connectivity Analysis Sen Zhao and Ali Shojaie
Estimating Heterogeneous Gene Regulatory Networks from Zero-Inflated Single-Cell Expression Data Qiuyu Wu and Xiangyu Luo
Fitting stochastic epidemic models to gene genealogies using linear noise approximation Mingwei Tang, Gytis Dudas, Trevor Bedford, and Vladimir N. Minin
Modeling animal movement with directional persistence and attractive points Gianluca Mastrantonio
Accounting for survey design in Bayesian disaggregation of survey-based areal estimates of proportions: an application to the American Community Survey Marco H. Benedetti, Veronica J. Berrocal, and Roderick J. Little
A Marginal Structural Model for Partial Compliance in SMARTs William Jeremy Artman, Ashkan Ertefaie, Kevin G Lynch, James R McKay, and Brent A Johnson
Bayesian Multivariate Sparse Functional Principal Components Analysis with Application to Longitudinal Microbiome Multi-Omics Data Lingjing Jiang, Chris Elord, Jane J. Kim, Austin D. Swafford, Rob Knight, and Wesley Thompson
Data-Adaptive Efficient Estimation Strategies for Biomarker Studies Embedded in Randomized Trials Wei Zhang, Zhiwei Zhang, James Troendle, Aiyi Liu
An Omnibus Test for Detection of Subgroup Treatment Effects via Data Partitioning Yifei Sun, Xuming He, and Jianhua Hu
Assessing treatment effect through compliance score in randomized trials with noncompliance Zonghui Hu, Zhiwei Zhang, and Dean Follmann
Spatiotemporal Satellite Data Imputation Using Sparse Functional Data Analysis Weicheng Zhu, Zhengyuan Zhu, and Xiongtao Dai
Multilevel time-series models for small area estimation at different frequencies and regional levels Harm Jan Boonstra and Jan van den Brakel
How many refugees and migrants died trying to reach Europe? Joint population size and total estimation. Alessio Farcomeni
Full Bayesian Inference in Hidden Markov Models of Plant Growth Gautier Viaud, Yuting Chen, and Paul-Henry Cournède
Extended Stochastic Block Models with Application to Criminal Networks Sirio Legramanti, Tommaso Rigon, Daniele Durante, David B. Dunson
Two-sample tests for multivariate repeated measurements of  histogram objects with applications to wearable device data Jingru Zhang, Kathleen R Merikangas, Hongzhe Li, and Haochang Shou
Parsimonious Bayesian Factor Analysis for modelling latent structures in spectroscopy data Alessandro Casa, Tom O’Callaghan, and Thomas Brendan Murphy
Phylogenetically informed Bayesian truncated copula graphical models for microbial association networks Hee Cheol Chung, Irina Gaynanova, and Yang Ni
Causal Inference in the Time of Covid-19 Matteo Bonvini, Edward Kennedy, Valerie Ventura, and Larry Wasserman
Bayesian Hierarchical  Random-Effects Meta-Analysis and Design of Phase I Clinical Trials Ruitao Lin
Estimating functional parameters for understanding the impact of weather and government interventions on COVID‐19 outbreak Chih-Li Sung
Clustering and Forecasting Multiple Functional Time Series Chen Tang, Han Lin Shang, and Yanrong Yang
Semi-Supervised Non-Parametric Bayesian Modelling of Spatial Proteomics Oliver Crook, Kathryn Lilley, Laurent Gatto, and Paul Kirk
Bayesian Data Synthesis and the Utility-Risk Trade-Off for Mixed Epidemiological Data Joseph Feldman and Daniel R. Kowal
Hierarchical Bayesian Modeling of Ocean Heat Content and Its Uncertainty Samuel Baugh and Karen McKinnon
Bayesian Inference for Brain Activity from Functional Magnetic Resonance Imaging Collected at Two Spatial Resolutions Andrew S Whiteman, Andreas J Bartsch, Jian Kang, and Timothy D Johnson
Testing for Differential Abundance in Compositional counts data, with Application to Microbiome Studies Barak Brill, Amnon Amir, and Ruth Heller
Mapping Interstellar Dust with Gaussian Processes Andrew Miller, Lauren Anderson, Boris Leistedt, John Cunningham, David Hogg, and David Blei
Modelling extremes of spatial aggregates of precipitation using conditional methods Jordan Richards, Jonathan A. Tawn, and Simon Brown
A spatial causal analysis of wildland fire-contributed PM2.5 using numerical model output Alexandra Elizabeth Larsen, Shu Yang, Brian J Reich, and Ana G Rappold
Dimensions, Power and Factors in an Observational Study of Behavioral Problems after Physical Abuse of Children Ting Ye, Dylan Small, and Paul Rosenbaum
Scalar on Network Regression via Boosting Emily L Morris, Kevin He, and Jian Kang
Social Distancing and Covid-19: Randomization Inference for a Structured Dose-Response Relationship Bo Zhang, Siyu Heng, Ting Ye, and Dylan Small
Multiscale spectral modelling for nonstationary time series within a multiple-trial experiment Jonathan Embleton, Marina Knight, and Hernando Ombao
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 Bi-clustering Methods with Applications in Computational Biology Han Yan, Jiexing Wu, Yang Li, and Jun S Liu
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