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Papers to Appear in Subsequent Issues

Bayesian factor models for probabilistic cause of death assessment with verbal autopsies Tsuyoshi Kunihama, Zehang Li, Samuel Clark, and Tyler McCormick
SHOPPER: A probabilistic model of consumer choice with substitutes and complements Francisco J. R. Ruiz, Susan Athey, and David M. Blei
BART with targeted smoothing: An analysis of patient-specific stillbirth risk Jennifer E. Starling, Jared S. Murray, Carlos M. Carvalho, Radek K. Bukowski, and James G. Scott
Efficient real-time monitoring of an emerging influenza pandemic: How feasible? Paul Jeffrey Birrell, Lorenz Wernisch, Brian D. M. Tom, Leonhard Held, Gareth O. Roberts, Richard G. Pebody, Daniela De Angelis
Modeling microbial abundances and dysbiosis with beta-binomial regression Bryan D Martin, Daniela Witten, and Amy Willis
Integrative survival analysis with uncertain event times in application to a suicide risk study Weijie Wang, Robert Aseltine, Kun Chen, and Jun Yan
A Statistical Analysis of Noisy Crowdsourced Weather Data Arnab Chakraborty, Soumendra Nath Lahiri, and Alyson Wilson
The stratified micro-randomized trial design: Sample size considerations for testing nested causal effects of time-varying treatments Walter Dempsey, Peng Liao, Santosh Kumar, and Susan Murphy
Accounting For Uncertainty About Past Values In Probabilistic Projections Of The Total Fertility Rate For All Countries Peiran Liu and Adrian Elmes Raftery
Bayesian Mixed Effects Models for Zero-inflated Compositions in Microbiome Data Analysis Boyu Ren, Sergio Bacallado, Stefano Favaro, Tommi Vatanen, Curtis Huttenhower, and Lorenzo Trippa
A Hierarchical Bayesian Model for Predicting Ecological Interactions Using Scaled Evolutionary Relationships Mohamad Elmasri, Maxwell Jenner Farrell, T. Jonathan Davies, and David Alan Stephens
Surface temperature monitoring in liver procurement via functional variance change point analysis Zhenguo Gao, Pang Du, Ran Jin, and John L. Robertson
An Efficient and Computationally Robust Statistical Method for Analyzing Case-Control Mother-Offspring Pair Genetic Association Studies Hong Zhang, Bhramar Mukherjee, Victoria Arthur, Gang Hu, Hagit Hochner, and Jinbo Chen
Regression for copula-linked compound distributions with applications in modeling aggregate insurance claims Peng Shi and Zifeng Zhao
Torus Graphs for Multivariate Phase Coupling Analysis Natalie Klein, Josue Orellana, Scott Brincat, Earl K Miller, and Robert E Kass
Modifying the Chi-square and the CMH test for population genetic inference: adapting to over-dispersion Kerstin Spitzer, Marta Pelizzola, and Andreas Futschik
TFisher: A powerful truncation and weighting procedure for combining P-values Hong Zhang, Tiejun Tong, John Landers, and Zheyang Wu
Optimal Asset Allocation with Multivariate Bayesian Dynamic Linear Models Jared Dale Fisher, Davide Pettenuzzo, and Carlos M Carvalho
Assessing wage status transition  and stagnation using quantile  transition regression Chih-Yuan Hsu, Yi-Hau Chen, Ruoh-Rong Yu, and Tsung-Wei Hung
A Fast Particle-Based Approach for Calibrating a 3-D Model of the Antarctic Ice Sheet Ben Seiyon Lee, Murali Haran, Robert William Fuller, David Pollard, and Klaus Keller
Estimating and forecasting the smoking-attributable mortality fraction for both genders jointly in over 60 countries Yicheng Li and Adrian E. Raftery
Estimating the health effects of environmental mixtures using Bayesian semiparametric regression and sparsity inducing priors Joseph Antonelli, Maitreyi Mazumdar, David Bellinger, David Christiani, Robert Wright, and Brent Coull
Estimation of Dyadic Characteristics of Family Networks using Sample Survey Data Chris Skinner and Fiona Steele
Modeling Wildfire Ignition Origins in Southern California Using Linear Network Point Processes Medha Uppala and Mark Stephen Handcock
Feature selection for generalized varying coefficient mixed-effect models with application to obesity GWAS Wanghuan Chu, Runze Li, Jingyuan Liu, and Matthew Reimherr
Measuring Human Activity Spaces from GPS Data with Density Ranking and Summary Curves Yen-Chi Chen and Adrian Dobra
A comparison of principal component methods between multiple phenotype regression and multiple SNP regression in genetic association studies Zhonghua Liu, Ian Barnett, and Xihong Lin
Sequential Importance Sampling for Multi-Resolution Kingman-Tajima Coalescent Counting Lorenzo Cappello and Julia A. Palacios
Causal Inference from Observational Studies with Clustered Interference, with Application to a Cholera Vaccine Study Brian G Barkley, Michael G Hudgens, John D Clemens, Mohammad Ali, and Michael E Emch
A Hierarchical Dependent Dirichlet Process Prior for Modelling Birds Migration Patterns in the UK Alex Diana, Eleni Matechou, Jim Griffin, and Alison Johnston
Estimating Causal Effects in Studies of Human Brain Function: New Models, Methods and Estimands Michael Edward Sobel and Martin A. Lindquist
Multi-view cluster aggregation and splitting, with an application to multi-omic breast cancer data Antoine Godichon-Baggioni, Cathy Maugis-Rabusseau, and Andrea Rau
Baseline Drift Estimation for Air Quality Data Using Quantile Trend Filtering Halley L. Brantley, Joseph Guinness, and Eric C. Chi
Function-on-Scalar Quantile Regression with Application to Mass Spectrometry Proteomics Data Yusha Liu, Meng Li, and Jeffrey S Morris
Correction:  Sensitivity analysis for an unobserved moderator in RCT-to-target-population generalization of treatment effects Trang Quynh Nguyen and Elizabeth A. Stuart
Quantifying Time-Varying Sources in Magnetoencephalography– A Discrete Approach Zhigang Yao, Zengyan Fan, Masahito Hayashi, and William Eddy
Active Matrix Factorization for Surveys Chelsea Zhang, Sean J Taylor, Curtiss Cobb, and Jasjeet Sekhon
Semiparametric Bayesian Markov Analysis of Personalized Benefit-Risk Assessment Dongyan Yan, Subharup Guha, Chul Ahn, and Ram Tiwari
Optimal EMG Placement for a Robotic Prosthesis Controller with Sequential, Adaptive Functional Estimation Jonathan Stallrich, Md Nazmul Islam, Ana-Maria Staicu, Dustin Crouch, Lizhi Pan, and He Huang
Bayesian variable selection for survival data using inverse moment priors Amir Nikooienejad, Wenyi Wang, and Valen Johnson
Early Prediction of a Rockslide Location Via a Spatially-Aided Gaussian Mixture Model Shuo Zhou, Howard Bondell, Antoinette Tordesillas, Benjamin Rubinstein, and James Bailey
Size Estimation of Key Populations in the HIV Epidemic in Eswatini Using Incomplete and Misaligned Capture-Recapture Data Abhirup Datta, Andrew Pita, Amrita Rao, Bhekie Sithole, Zandile Mnisi, and Stefan Baral
Estimation and inference in metabolomics with non-random missing data and latent factors Chris Gordon McKennan, Carole Ober, and Dan Nicolae
Evidence factors in a case-control study with application to the effect of flexible sigmoidoscopy screening on colorectal cancer Bikram Karmakar, Chyke A. Doubeni, and Dylan S. Small
A causal exposure response function with local adjustment for confounding: Estimating health effects of exposure to low levels of ambient fine particulate matter Georgia Papadogeorgou and Francesca Dominici
Focused model selection for linear mixed models, with an application to whale ecology Céline Cunen, Lars Walløe, and Nils Lid Hjort
A global-local approach for detecting hotspots in multiple-response regression Hélène Ruffieux, Anthony C. Davison, Jörg Hager, Jamie Inshaw, Benjamin P. Fairfax, Sylvia Richardson, and Leonardo Bottolo
Seasonal Warranty Prediction Based on Recurrent Event Data Qianqian Shan, Yili Hong, and William Meeker
A Bayesian Hierarchical Model for Evaluating Forensic Footwear Evidence Neil A Spencer and Jared S Murray
Generalized accelerated recurrence time model in the presence of a dependent  terminal event Bo Wei, Zhumin Zhang, HuiChuan Lai, and Limin Peng
Statistical Methods for Replicability Assessment Kenneth Hung and William Fithian
Statistical Methods for Analysis of Combined Categorical Biomarker Data from Multiple Studies Chao Cheng and Molin Wang
Does Terrorism Trigger Online Hate Speech? On the Association of Events and Time Series Erik Scharwächter and Emmanuel Müller
A random effects stochastic block model for joint community detection in multiple networks with applications to neuroimaging Subhadeep Paul and Yuguo Chen
Compression of Climate Simulations with a Nonstationary Global Spatio-Temporal SPDE Model Geir-Arne Fuglstad and Stefano Castruccio
A Semiparametric Mixture Method for Local False Discovery Rate Estimation from Multiple Studies Seok-Oh Jeng, Dongseok Choi, and Woncheol Jang