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Papers to Appear in Subsequent Issues

When papers are accepted for publication, they will appear below. Any changes that are made during the production process will only appear in the final version. Papers listed here are not updated during the production process and are removed once an issue is published.

Boosting Data Analytics with Synthetic Volume Expansion Xiaotong Shen, Yifei Liu, and Rex Shen
k-Contact Distance for Noisy Nonhomogeneous Spatial Point Data with application to Repeating Fast Radio Burst sources from CHIME/FRB A. M. Cook, Dayi Li, Gwendolyn M. Eadie, David C. Stenning, Paul Scholz, Derek Bingham, Radu Craiu, B. M. Gaensler, Kiyoshi W. Masui, Ziggy Pleunis, Antonio Herrera-Martin, Ronniy C. Joseph, Ayush Pandhi, Aaron B. Pearlman and J. Xavier Prochaska
Spatio-Temporal-Network Point Processes for Modeling Crime Events with Landmarks Zheng Dong, Jorge Mateu and Yao Xie
Bayesian selection and refitting of reference mutational signatures in cancer genomics Min Hua and Bin Zhu
BSNMani: Bayesian Scalar-on-network Regression with Manifold Learning Yijun Li, Ki Sueng Choi, Boadie W. Dunlop, Wade Edward Craighead, Helen S. Mayberg, Lana Garmire, Ying Guo and Jian Kang
High-dimensional locally stationary models for identifying neuroimaging biomarkers in Autism Spectrum Disorder Zichang Xiang, Raanju Sundararajan and Hernando Ombao
Explainable Parameter Calibration via Importance-Driven Sequential Design with an Application to Building Energy Systems Cheoljoon Jeong and Eunshin Byon
3d Bivariate Spatial Modelling of Argo Ocean Temperature and Salinity Profiles Mary Lai O Salvana, Jian Cao and Mikyoung Jun
HEDE: Heritability Estimation in High Dimensions by Ensembling Debiased Estimators in Genome-Wide Association Studies Yanke Song, Xihong Lin and Pragya Sur
Transparent Sequential Learning and Monitoring of Spatio-Temporal Disease Incidence Rates Yuhang Zhou and Peihua Qiu
A Novel Bayesian Framework Uncovering Brain Connectivity-to-Shape Relationship in Preclinical Alzheimer’s Disease Shengxian Ding, Emily Johns, Anton Orlichenko, Carolyn Fredericks and Yize Zhao
Model-Based Spatial Reconstruction of Large-Scale Biomolecules via Bayesian Inference of a Hierarchical Spatial Model Yingcheng Luo, Shiyu Wang, Chong Shen, Yichao Li, Zhaohui Qin and Ke Deng
Evaluating multiplex diagnostic test using partially ordered Bayes classifier Ken Cheung and Louise Kuhn
Covariance Regression with High-Dimensional Predictors Yuheng He, Changliang Zou and Yi Zhao
Adaptive Block-based Change-point Detection for Sparse Spatially Clustered Data with Applications in Remote Sensing Imaging Alan Moore, Lynna Chu and Zhengyuan Zhu
Spatial Prediction of Local Soil Erosion Distribution in the Wasserstein Space Jiaming Qiu, Xiongtao Dai, Zhengyuan Zhu and Shuiqing Yin
A Principal Submanifold-based Approach for Clustering and Multiscale RNA Correction Menghao Wu and Zhigang Yao
Estimation of total mediation effect for a binary trait in a case-control study for high-dimensional omics mediators Zhiyu Kang, Li Chen, Peng Wei, Zhichao Xu, Chunlin Li and Tianzhong Yang
Measuring Public Opinion:  “The Wasserstein Bipolarization Index”, with Application to Cross-National Attitudes Toward Mandatory Vaccination for COVID-19 Hane Lee and Michael E. Sobel
Perturbation-Robust Predictive Modeling of Social Effects by Network Subspace Generalized Linear Models Jianxiang Wang, Can M. Le and Tianxi Li
Measurement error models for morphometric data Ben Stevenson, Elizabeth Smit and Edy Setyawan
Domain-aware matrix completion for phenotype imputation using Electronic Health Record data with applications in genomic research Iuliana Ionita-Laza, Hanqing Wu, Hyunkyu Lee and Najmeh Abiri
Targeted Maximum Likelihood Estimation for Integral Projection Models in Population Ecology Yunzhe Zhou and Giles Hooker
Spectral-Stimulus Information for Self-Supervised Stimulus Encoding Jared Deighton, Wyatt Mackey, Ioannis Schizas, David L Boothe and Vasileios Maroulas
Autoregressive models for panel data causal inference with application to state-level opioid policies Joseph Antonelli, Max Rubinstein, Denis Agniel, Rosanna Smart, Elizabeth Stuart, Matthew Cefalu, Terry Schell, Joshua Eagen, Elizabeth Stone, Max Griswold and Beth Ann Griffin
Topological inference on brain networks with application to lesion symptom mapping Yuan Wang, Jian Yin, Nicholas Riccardi, Dirk-Bart den Ouden, Julius Fridriksson and Rutvik H. Desai
Decoding Microbiome Dual Mediation: Introducing ZIMMA for Enhanced Zero-Inflated Data Analysis Xi Qiao, Ruitao Liu, Xueying Tang, Christine B. Peterson, Robert R. Jenq and Liangliang Zhang
Dynamic Count Models with Flexible Innovation Processes for Irregular Maritime Migration Gregor Zens and Jakub Bijak
Modeling temporal dependence in a sequence of spatial random partitions driven by spanning tree: an application to mosquito-borne diseases Jessica Pavani, Rosangela Helena Loschi and Fernando Andres Quintana
Spatially Randomized Designs Can Enhance Policy Evaluation Ying Yang, Chengchun Shi, Fang Yao, Shouyang Wang and Hongtu Zhu
Spatial causal inference in the presence of unmeasured confounding and interference Georgia Papadogeorgou and Srijata Samanta
A Topological Gaussian Mixture Model for Bone Marrow Morphology in Leukaemia Qiquan Wang, Anna Song, Antoniana Batsivari, Dominique Bonnet and Anthea Monod
Confidence intervals for rate estimation with importance sampling in autonomous vehicle evaluation Aiyou Chen, Ruixuan Rachel Zhou, Joseph J Lee, Nicholas Chamandy and Henning Hohnhold
A time warping model for seasonal data with application to age estimation from narwhal tusks Lars Nørtoft Reiter, Adam Gorm Hoffmann, Mads Peter Heide-Jørgensen, Eva Garde, Adeline Samson and Susanne Ditlevsen
Joint Modeling of Spatial Dependencies Across Multiple Subjects in Multiplexed Tissue Imaging Joel Eliason, Arvind Rao, Timothy Frankel and Michele Peruzzi