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Papers to Appear in Subsequent Issues

Sparse matrix linear models for structured high-throughput data Jane W Liang and Saunak Sen
Modelled approximations to the ideal filter with application to GDP and its Components Thomas M Trimbur and Tucker McElroy
Subgroup Identification and Variable Selection for Treatment Decision Making Baqun Zhang and Min Zhang
Improving Exoplanet Detection Power: Multivariate Gaussian Process Models for Stellar Activity David Edward Jones, David C Stenning, Eric B Ford, Robert L Wolpert, Thomas J Loredo, Christian Gilbertson, and Xavier Dumusque
Bounding the local average treatment effect in an instrumental variable analysis of engagement with a mobile intervention Andrew Justin Spieker, Robert Greevy, Lyndsay Nelson, and Lindsay Mayberry
A functional-data approach to the Argo data Drew Yarger, Stilian Stoev, and Tailen Hsing
Model-based distance embedding with applications to chromosomal conformation biology Yuping Zhang, Disheng Mao, and Zhengqing Ouyang
Manifold valued data analysis of samples of networks, with applications in corpus linguistics Katie Severn, Ian L. Dryden, and Simon P. Preston
A Bayesian Model of Dose-Response for Cancer Drug Studies Wesley Tansey, Christopher Tosh, and David Blei
Inference in Bayesian Additive Vector Autoregressive Tree Models Florian Huber and Luca Rossini
A flexible Bayesian framework to estimate age- and cause-specific child mortality over time from sample registration data Austin Edward Schumacher, Tyler H McCormick, Jon Wakefield, Yue Chu, Jamie Perin, Francisco Villavicencio, Noah Simon, and Li Liu
BAGEL: A Bayesian Graphical Model for Inferring Drug Effect Longitudinally on Depression in People with HIV Yuliang Li, Yang Ni, Leah H. Rubin, Amanda B. Spence, and Yanxun Xu
Robust Causal Inference for Incremental Return on Ad Spend with Randomized Paired Geo Experiments Aiyou Chen and Tim Au
Bayesian Nonparametric Multivariate Spatial Mixture Mixed Effects Models with Application to American Community Survey Special Tabulations Ryan Janicki, Andrew Raim, Scott H. Holan, and Jerry Maples
Bidimensional Linked Matrix Factorization for Pan-Omics Pan-Cancer Analysis Eric F Lock, Jun Young Park, and Katherine A. Hoadley
Multivariate mixed membership modeling: Inferring domain-specific risk profiles Massimiliano Russo
Fast inference for time-varying quantiles via flexible  dynamic models with application to the characterization of atmospheric rivers Raquel Barata, Raquel Prado, and Bruno Sanso
Estimating the effectiveness of permanent price reductions for competing products using multivariate Bayesian structural time series models Fiammetta Menchetti and Iavor Bojinov
Bayesian adjustment for preferential testing in estimating infection fatality rates, as motivated by the COVID-19 pandemic Harlan Campbell, Perry de Valpine, Lauren Maxwell, Valentijn M.T. de Jong, Thomas P.A. Debray, Thomas Jaenisch, and Paul Gustafson
The assessment of replication success based on relative effect size Leonhard Held, Charlotte Micheloud, and Samuel Pawel
Subgroup-Effects Models for the Analysis of Personal Treatment Effects Ling Zhou, Shiquan Sun, Haoda Fu, and Peter X.K. Song
Modeling Non-Stationary Temperature Maxima Based on Extremal Dependence Changing with Event Magnitude Peng Zhong, Raphael Huser, and Thomas Opitz
Sequential Modeling, Monitoring and Forecasting of Streaming Web Traffic Data Kaoru Irie, Christopher Glynn, and Tevfik Aktekin
The role of intrinsic dimension in high-resolution player tracking data – Insights in basketball Edgar Santos Fernandez, Francesco Denti, Kerrie Mengersen, and Antonietta Mira
Pre-electoral polls variability: a hierarchical Bayesian model to assess the role of house effects with application to Italian elections Domenico De Stefano, Francesco Pauli, and Nicola Torelli
Scalable changepoint and anomaly detection in cross-correlated data with an application to condition monitoring Martin Tveten, Idris Eckley, and Paul Fearnhead
Detecting and modeling changes in a time series of proportions Thomas J Fisher, Jing Zhang, Stephen Colegate, and Michael J Vanni
Prediction of Hereditary Cancers Using Neural Networks Zoe Guan, Giovanni Parmigiani, Danielle Braun, and Lorenzo Trippa
Identifying intergenerational patterns of correlated methylation sites Xichen Mou, Hongmei Zhang, and Hasan Arshad
Adaptive design for Gaussian process regression under censoring Jialei Chen, Simon Mak, V Roshan Joseph, and Chuck Zhang
Ordinal Probit Functional Outcome Regression with Application to Computer-Use Behavior in Rhesus Monkeys Mark J Meyer, Jeffrey S Morris, Regina Paxton Gazes, and Brent A Coull
In-game Win Probabilities for the National Rugby League Tianyu Guan, Robert Nguyen, Jiguo Cao, and Tim Swartz
Composite mixture of log-linear models with application to psychiatric studies Emanuele Aliverti and David Dunson
Partitioning Around Medoids Clustering and Random Forest Classification for GIS-Informed Imputation of Fluoride Concentration Data Yu Gu, John Preisser, Donglin Zeng, Poojan Shrestha, Molina Shah, Miguel Simancas-Pallares, Jeannie Ginnis, and Kimon Divaris
Bayesian mitigation of spatial coarsening for a fairly flexible spatiotemporal Hawkes model Andrew James Holbrook, Xiang Ji, and Marc A Suchard
Accounting for drop-out using inverse probability censoring weights in longitudinal clustered data with informative cluster size Aya A Mitani, Elizabeth K Kaye, and Kerrie P Nelson
Inhomogeneous spatio-temporal point processes on linear networks for visitors’ stops data Nicoletta D’Angelo, Giada Adelfio, Antonino Abbruzzo, and Jorge Mateu
Likelihood-based bacterial identification approach for bimicrobial mass spectrometry data So Young Ryu
Batch-sequential design and heteroskedastic surrogate modeling for delta smelt conservation Boya Zhang, Robert B. Gramacy, Leah Johnson, Kenneth A. Rose, and Eric Smith
Intensity Estimation on Geometric Networks with Penalized Splines Marc Schneble and Göran Kauermann
Sparse Block Signal Detection and Identification for  Shared Cross-Trait Association Analysis Jianqiao Wang, Wanjie Wang, and Hongzhe Li
Computationally Efficient Bayesian Unit-Level Models for Non-Gaussian Data Under Informative Sampling Paul A. Parker, Scott H. Holan, and Ryan Janicki
Approximate Bayesian inference for analysis of spatio-temporal flood frequency data Árni V. Jóhannesson, Stefan Siegert, Raphael Huser, Haakon Bakka, and Birgir Hrafnkelsson
Permutation tests under a rotating sampling plan with clustered data Jiahua Chen, Yukun Liu, Carolyn Taylor, and James Zidak
Inference for stochastic kinetic models from multiple data sources for joint estimation of infection dynamics from aggregate reports and virological data Oksana A. Chkrebtii, Yury E. Garcia, Marcos A. Capistran, and Daniel E. Noyola
Multi-state capture-recapture models for irregularly sampled data Sina Mews, Roland Langrock, Ruth King, and Nicola Quick
Bayesian Inverse Reinforcement Learning for Collective Animal Movement Toryn L. J. Schafer, Christopher K. Wikle, and Mevin B. Hooten
A flexible sensitivity analysis approach for unmeasured confounding with multiple treatments and a binary outcome with applications to SEER-Medicare lung cancer data Liangyuan Hu, Jungang Zou, Chenyang Gu, Jiayi Ji, Michael Lopez, and Minal Kale
Robust Bayesian Inference for Big Data: Combining Sensor-based Records with Traditional Survey Data Ali Rafei, Carol A.C. Flannagan, Brady T West, and Michael Elliott
A sparse negative binomial classifier with covariate adjustment for RNA-seq data Tanbin Rahman, Hsin-En Huang, Yujia Li, An-shun Tai, Wen-Ping Hsieh, and George C Tseng
Kernel Machine and Distributed Lag Models for Assessing Windows of Susceptibility to Environmental Mixtures in Children’s Health Studies Ander Wilson, Hsiao-Hsien Leon Hsu, Yueh-Hsiu Mathilda Chiu, Robert O Wright, Rosalind J Wright, and Brent A Coull
Contrastive latent variable modeling with application to case-control sequencing experiments Andrew Jones, F William Townes, Didong Li, and Barbara E Engelhardt
Detecting Heterogeneous Treatment Effects with Instrumental Variables and Application to the Oregon Health Insurance Experiment Michael William Johnson, Jiongyi Cao, and Hyunseung Kang
Statistical Shape Analysis of Brain Arterial Networks (BAN) Xiaoyang Guo, Aditi Basu Bal, Tom Needham, and Anuj Srivastava
B-scaling: A Novel Nonparametric Data Fusion Method Yiwen Liu, Xiaoxiao Sun, Wenxuan Zhong, and Bing Li
Spatial-Temporal-Textual Point Processes for Crime Linkage Detection Shixiang Zhu, Yao Xie
Markov-Modulated Hawkes Processes for Modeling Sporadic and Bursty Event Occurrences in Social Interactions Jing Wu, Owen Ward, James Curley, and Tian Zheng
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
Conditional Functional Clustering for Longitudinal Data with Heterogeneous Nonlinear Patterns Tianhao Wang, Lei Yu, Sue E. Leurgans, Robert S. Wilson, David A. Bennett, and Patricia A. Boyle
Impact Evaluation of the LAPD Community Safety Partnership Sydney Kahmann, Erin Hartman, Jorja Leap, and P. Jeffrey Brantingham
Higher Criticism for Discriminating Word-Frequency Tables and Authorship Attribution Alon Kipnis
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, 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
Correction to: A Bayesian model of microbiome data for simultaneous identification of covariate associations and prediction of phenotypic outcomes Marina Vannucci
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