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Papers to Appear in Subsequent Issues

Late 19th-Century Navigational Uncertainties and Their Influence on Sea Surface Temperature Estimates Chenguang Dai, Duo Chan, Peter Huybers, and Natesh Pillai
Discovering Interactions Using Covariate Informed Random Partition Models Garritt L. Page, Fernando A Quintana, and Gary L. Rosner
BayICE: A Bayesian hierarchical model for semi-reference-based deconvolution of bulk transcriptomic data An-Shun Tai, George Chien-Cheng Tseng, and Wen-Ping Hsieh
Model Free Estimation of Graphical Model using Gene Expression Data Jenny Yang, Yang Liu, Yufeng Liu, and Wei Sun
Accounting for Smoking in Forecasting Mortality and Life Expectancy Yicheng Li and Adrian E. Raftery
Integrative Network Learning for Multi-modality Biomarker Data Shanghong Xie, Donglin Zeng, and Yuanjia Wang
Analyzing second order stochasticity of neural spiking under stimuli-bundle exposure Christopher D Glynn, Surya T Tokdar, Azeem Zaman, Valeria C Caruso, Jeffrey T Mohl, Shawn M Willett, and Jennifer M Groh
Point process modeling of drug overdoses with heterogeneous and missing data Xueying Liu, Jeremy Carter, Brad Ray, and George Mohler
Spike-and-Slab Lasso Biclustering Gemma Moran, Veronika Rockova, and Edward George
Robust inference when combining inverse-probability weighting and multiple imputation to address missing data with application to an electronic health records-based study of bariatric surgery Tanayott Thaweethai, David E Arterburn, Karen J Coleman, and Sebastien Haneuse
An Evaluation of Statistical Methods for Aggregate Patterns of Replication Failure Jacob M Schauer, Kaitlyn G Fitzgerald, Sarah Peko-Spicer, Mena Whalen, Rrita Zejnullahi, and Larry V Hedges
An Approximate Best Prediction Approach to Small Area Estimation for Sheet and Rill Erosion under Informative Sampling Emily Berg and Jae-Kwang Kim
Random-effects meta-analysis of Phase I dose-finding studies using stochastic process priors Moreno Ursino, Christian Röver, Sarah Zohar, and Tim Friede
Two-phase sampling strategies for design-based mapping of continuous spatial populations in environmental surveys Lorenzo Fattorini, Sara Franceschi, Marzia Marcheselli, Caterina Pisani, and Luca Pratelli
Monitoring vaccine safety by studying temporal variation of adverse events using Vaccine Adverse Event Reporting System Jing Huang, Yi Cai, Jingcheng Du, Ruosha Li, Susan Ellenberg, Sean Hennessy, Cui Tao, and Yong Chen
Large-scale inference of correlation among mixed-type biological traits with phylogenetic multivariate probit models Zhenyu Zhang, Akihiko Nishimura, Paul Bastide, Xiang Ji, Rebecca P. Payne, Philip Goulder, Philippe Lemey, and Marc A. Suchard
The Role of Scale in the Estimation of Cell-type Proportions Gregory J. Hunt and Johann A. Gagnon-Bartsch
A regression discontinuity design for ordinal running variable: Evaluating Central Bank purchases of corporate bonds Fan Li, Andrea Mercatanti, Taneli Makinen, and Andrea Silvestrini
A Multiple Imputation Procedure for Record Linkage and Causal Inference to Estimate the Effects of Home-delivered Meals Mingyang Shan, Kali Thomas, and Roee Gutman
High-fidelity hurricane surge forecasting using emulation and sequential experiments Matthew Plumlee, Taylor G. Asher, Won Chang, and Matthew V. Bilskie
Spatial Distributed Lag Data Fusion for Estimating Ambient Air Pollution Joshua L. Warren, Marie Lynn Miranda, Joshua L. Tootoo, Claire E. Osgood, and Michelle L. Bell
Estimation of cell lineage trees by maximum likelihood phylogenetics Jean Feng, William DeWitt, Aaron McKenna, Noah Simon, Amy Willis, and Frederick Matsen
BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic Qingyuan Zhao, Nianqiao Ju, Sergio Bacallado, and Rajen D Shah
An Empirical Bayes Change Point Model for Transcriptome Time Course Data Tian Tian, Ruihua Cheng, and Zhi Wei
Probabilistic Forecasting of the Arctic Sea Ice Edge with Contour Modeling Hannah Director, Adrian Raftery, and Cecilia Bitz
A Hermite-Gaussian Based Exoplanet Radial Velocity Estimation Method Parker H. Holzer, Jessi Cisewski-Kehe, Debra Fischer, and Lily Zhao
Model-based Feature Selection and Clustering of RNA-seq Data for Unsupervised Subtype Discovery David K Lim, Naim U Rashid, and Joseph G Ibrahim
A Continuous-Time Semi-Markov Model for Animal Movement in a Dynamic Environment Devin Johnson, Noel Pelland, and Jeremy Sterling
Prediction of the NASH through penalized mixture of logistic regression models Marie Morvan, Émilie Devijver, Madison Giacofci, and Valérie Monbet
Inference of Large Modified Poisson-type Graphical Models: Application to RNA-seq Data in Childhood Atopic Asthma Studies Rong Zhang, Zhao Ren, Juan C. Celedón, and Wei Chen
Inflection points in community-level homeless rates Christopher Glynn, Thomas H. Byrne, and Dennis P. Culhane
A Multivariate Spatio-Temporal Change Point Model of Opioid Overdose Deaths in Ohio Staci A Hepler, Lance Waller, and David Kline
Two-way sparsity for time-varying networks, with applications in genomics Thomas E Bartlett
Additive Stacking for Disaggregate Electricity Demand Forecasting Christian Capezza, Biagio Palumbo, Yannig Goude, Simon N. Wood, and Matteo Fasiolo
Estimating high-resolution Red Sea surface temperature hotspots, using a low-rank semiparametric spatial model Arnab Hazra and Raphael Huser
Efficient Bayesian Inference of General Gaussian Models on Large Phylogenetic Trees Paul Bastide, Lam Si Tung Ho, Guy Baele, Philippe Lemey, and Marc A Suchard
Tensor-Variate Finite Mixture Modeling for the Analysis of University Professor Remuneration Shuchismita Sarkar, Volodymyr Melnykov, and Xuwen Zhu
A Bayesian Semiparametric Jolly-Seber Model with Individual Heterogeneity: An Application to Migratory Mallards at Stopover Guohui Wu, Scott Holan, Alexis Avril, and Jonas Waldenström
Scalable penalized spatiotemporal land-use regression for ground-level nitrogen dioxide Kyle P Messier and Matthias Katzfuss
A Compositional Model to Assess Expression Changes from Single-Cell RNA-Seq Data Xiuyu Ma, Keegan Korthauer, Christina Kendziorski, and Michael A. Newton
Unsupervised streaming anomaly detection for instrumented infrastructure Henrique Helfer Hoeltgebaum, Niall Adams, and Din-Houn Lau
Function-on-Function Regression for the Identification of Epigenetic Regions Exhibiting Windows of Susceptibility to Environmental Exposures Michele Zemplenyi, Mark J. Meyer, Andres Cardenas, Marie-France Hivert, Sheryl L. Rifas-Shiman, Heike Gibson, Itai Kloog, Joel Schwartz, Emily Oken, Dawn L. DeMeo, Diane R. Gold, and Brent A. Coull
Rapid Design of Metamaterials via Multi-target Bayesian Optimization Yang Yang, Chunlin Ji, and Ke Deng
Causal Mediation Analysis for Sparse and Irregular Longitudinal Data Shuxi Zeng, Stacy Rosenbaum, Susan C. Alberts, Elizabeth A. Archie, and Fan Li
Length-biased semi-competing risks models for cross-sectional data: an application to current duration of pregnancy attempt data Alexander McLain, Siyuan Guo, Marie Thoma, and Jiajia Zhang
Two-stage Circular-circular Regression with Zero-inflation: Application to Medical Sciences Jayant Jha and Prajamitra Bhuyan
A Statistical Pipeline for Identifying Physical Features that Differentiate Classes of 3D Shapes Bruce Wang, Timothy Sudijono, Henry Kirveslahti, Tingran Gao, Douglas M Boyer, Sayan Mukherjee, and Lorin Crawford
Large scale multiple inference of collective dependence with applications to protein function Wen Zhou, Zhao Ren, Robert Jernigan, and Kejue Jia
A covariance-enhanced approach to multi-tissue joint eQTL mapping with application to transcriptome-wide association studies Aaron J. Molstad, Wei Sun, and Li Hsu
Joint and individual analysis of breast cancer histologic images and genomic covariates Iain Carmichael, Benjamin C. Calhoun, Katherine A. Hoadley, Melissa A. Troester, Joseph Geradts, Heather D Couture, Linnea Olsson, Charles M. Perou, Marc Niethammer, Jan Hannig, and J.S. Marron
A Bayesian Nonparametric Model for Inferring Subclonal Populations from Structured DNA Sequencing Data Shai He, Aaron Schein, Vishal Sarsani, and Patrick Flaherty
Perturbed factor analysis: Accounting for group differences in exposure profiles Arkaprava Roy, Isaac Lavine, Amy H Herring, and David B Dunson
Global estimation and scenario-based projections of sex ratio at birth and missing female births using a Bayesian hierarchical time series mixture model Fengqing Chao, Patrick Gerland, Alex R. Cook, and Leontine Alkema
A Bridging Model to Reconcile Statistics Based on Data from Multiple Surveys Andreea Luisa Erciulescu
Targeted Smooth Bayesian Causal Forests: An analysis of heterogeneous treatment effects for simultaneous versus interval medical abortion regimens over gestation Jennifer E Starling, Jared S Murray, Patricia A Lohr, Abigail RA Aiken, Carlos M Carvalho, and James G Scott
Partial-Mastery Cognitive Diagnosis Models Zhuoran Shang, Elena A Erosheva, and Gongjun Xu
Simultaneous inference of periods and period-luminosity relations for Mira variable stars Shiyuan He, Zhenfeng Lin, Wenlong Yuan, Lucas M. Macri, and Jianhua Z. Huang
A Bayesian Nonparametric Approach to Super-Resolution Single-Molecule Localization Mariano Ignacio Gabitto, Herve Marie-Nelly, Ari Pakman, Andras Pataki, Xavier Darzacq, and Michael Jordan
Zero-inflated quantile rank-score based test (ZIQRank) with application to scRNA-seq differential gene expression analysis Wodan Ling, Wenfei Zhang, Bin Cheng, and Ying Wei
Hierarchical Integrated Spatial Process Modeling of Monotone West Antarctic Snow Density Curves Philip A White, Durban G Keeler, and Summer Rupper
Sparse matrix linear models for structured high-throughput data Jane W Liang and Saunak Sen
Modeling past event feedback through biomarker dynamics in the multi-state event analysis for cardiovascular disease data Chuoxin Ma, Hongsheng Dai, and Jianxin Pan