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Papers to Appear in Subsequent Issues

The ASA President’s Task Force Statement on Statistical Significance and Replicability Yoav Benjamini, Richard D. De Veaux, Bradley Efron, Scott Evans, Mark Glickman, Barry I. Graubard, Xuming He, Xiao-Li Meng, Nancy Reid, Stephen M. Stigler, Stephen B. Vardeman, Christopher K. Wikle, Tommy Wright, Linda J. Young, and Karen Kafadar
Editorial: Statistical Significance, P-Values, and Replicability Karen Kafadar
A Hermite-Gaussian Based Exoplanet Radial Velocity Estimation Method Parker H. Holzer, Jessi Cisewski-Kehe, Debra Fischer, and Lily Zhao
A Continuous-Time Semi-Markov Model for Animal Movement in a Dynamic Environment Devin Johnson, Noel Pelland, and Jeremy Sterling
A Multivariate Spatio-Temporal Change Point Model of Opioid Overdose Deaths in Ohio Staci A Hepler, Lance Waller, and David Kline
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
Two-stage Circular-circular Regression with Zero-inflation: Application to Medical Sciences Jayant Jha and Prajamitra Bhuyan
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
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
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
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
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
Estrogen receptor expression on breast cancer patients’ survival under shape restricted Cox regression model Jing Qin, Geng Deng, Jing Ning, Ao Yuan, Yu Shen
Markov Random Field Models for Vector-Based Representations of Landscapes Patrizia Zamberletti, Julien Papaïx, Edith Gabriel, and Thomas Opitz
The Information in Covariate Imbalance in Studies of Hormone Replacement Therapy Dylan Small, Ruoqi Yu, and Paul Rosenbaum
Information content of high-order associations of the human gut microbiota network Weston D Viles, Juliette C Madan, Hongzhe Li, Margaret R Karagas, and Anne G Hoen
Analysing the causal effect of London cycle superhighways on traffic congestion Prajamitra Bhuyan, Emma J. McCoy, Haojie Haojie Li, and Daniel J. Graham
Assessing Selection Bias in Regression Coefficients Estimated from Non-Probability Samples, with Applications to Genetics and Demographic Surveys Brady Thomas West, Roderick J. A. Little, Rebecca R. Andridge, Philip S. Boonstra, Erin B. Ware, Anita Pandit, and Fernanda Alvarado-Leiton
Spatial voting models in circular spaces Xingchen Yu and Abel Rodríguez
Identifying the Recurrence of Sleep Apnea Using a Harmonic Hidden Markov Model Beniamino Hadj-Amar, Bärbel Finkenstädt, Mark Fiecas, and Robert Huckstepp
Bayesian Multi-study Factor Analysis for High-throughput Biological Data Roberta De Vito, Ruggero Bellio, Lorenzo Trippa, and Giovanni Parmigiani
Markov-Switching State Space Models for Uncovering Musical Interpretation Daniel J. McDonald, Michael McBride, Yupeng Gu, and Christopher Raphael
RADIOHEAD: Radiogenomic Analysis Incorporating Tumor Heterogeneity in Imaging Through Densities Shariq Mohammed, Karthik Bharath, Sebastian Kurtek, Arvind Rao, and Veerabhadran Baladandayuthapani
Clustering on the torus by conformal prediction Sungkyu Jung, Kiho Park, and Byungwon Kim
Assessing the Reliability of Wind Power Operations under a Changing Climate with a Non-Gaussian Bias Correction Jiachen Zhang, Paola Crippa, Marc Genton, and Stefano Castruccio
Bayesian joint modeling of chemical structure and dose response curves Kelly R. Moran, David Dunson, Matthew W. Wheeler, and Amy H. Herring
Orthogonal Subsampling for Big Data Linear Regression Lin Wang
Modelled approximations to the ideal filter with application to GDP and its Components Thomas M Trimbur and Tucker McElroy
Predicting competitions by combining conditional logistic regression and subjective Bayes: An Academy Awards case study Christopher T Franck and Christopher E Wilson
Qini-Based Uplift Regression Mouloud Belbahri, Alejandro Murua, Olivier Gandouet, and Vahid Partovi Nia
Simultaneous Non-Gaussian Component Analysis (SING) for Data Integration in Neuroimaging Benjamin B Risk and Irina Gaynanova
Mediation analysis for associations of categorical variables: The role of education in social class mobility in Britain Jouni Kuha, Erzsebet Bukodi, and John H Goldthorpe
Subgroup Identification and Variable Selection for Treatment Decision Making Baqun Zhang and Min Zhang
Bridging randomized controlled trials and single-arm trials using commensurate priors in arm-based network meta-analysis Zhenxun Wang, Lifeng Lin, Thomas Murray, James S. Hodges, and Haitao Chu
Pan-disease clustering analysis of the trend of period prevalence Sneha Jadhav, Chenjin Ma, Yefei Jiang, Benchang Shia, and Shuangge Ma
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
Estimating animal utilization distributions from multiple data types: a joint spatio-temporal point process framework Joe Watson, Ruth Joy, Dominic Tollit, Sheila J Thornton, and Marie Auger-Méthé
Diagnosis-Group-Specific Transitional Care Program Recommendations for Thirty-Day Rehospitalization Reduction Menggang Yu, Chensheng Kuang, Jared Davis Huling, and Maureen A. Smith
Space-time smoothing models for sub-national measles routine immunization coverage estimation with complex survey data Tracy Qi Dong and Jon Wakefield
Tensor Quantile Regression with Application to Association Between Neuroimages and Human Intelligence Cai Li and Heping Zhang
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
Inferring food intake from multiple biomarkers using a latent variable model Silvia D’Angelo, Lorraine Brennan, and Isobel Claire Gormley
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 Deep Learning Semiparametric Regression For Adjusting Complex Confounding Structure Xinlei Mi, Patrick Tighe, Fei Zou, and Baiming Zou
Extending Models Via Gradient Boosting: An Application to Mendelian Models Theodore Huang, Gregory Idos, Christine Hong, Stephen Gruber, Giovanni Parmigiani, and Danielle Braun
Modeling the Social Media Relationships of Irish Politicians Using a Generalized Latent Space Stochastic Blockmodel Tin Lok James Ng, Thomas Brendan Murphy, Ted Westling, Tyler H. McCormick, and Bailey Fosdick
Uncertainty Quantification of a Computer Model for Binary Black Hole Formation Luyao Lin, Derek Bingham, Floor Broekgaarden, and Ilya Mandel
A Bayesian Model of Dose-Response for Cancer Drug Studies Wesley Tansey, Christopher Tosh, and David Blei
Integrating geostatistical maps and infectious disease transmission models using adaptive multiple importance sampling Renata Retkute, Panayiota Touloupou, Maria-Gloria Basanez, Deirdre T Hollingsworth, and Simon EF Spencer
Stabilizing Variable Selection and Regression Niklas Pfister, Evan Williams, Jonas Peters, Ruedi Aebersold, and Peter Bühlmann
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
Nonparametric Importance Sampling for Wind Turbine Reliability Analysis with Stochastic Computer Models Shuoran Li, Young Myoung Ko, and Eunshin Byon
VCSEL: Prioritizing SNP-Set by Penalized Variance Component Selection Juhyun Kim, Judong Shen, Anran Wang, Devan V Mehrotra, Seyoon Ko, Jin J Zhou, and Hua Zhou
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