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Papers to Appear in Subsequent Issues

Epigenome-wide analyses of sparse mediation effects under composite null hypotheses Yen-Tsung Huang
Joint Bayesian semiparametric regression analysis of recurrent adverse events and survival in esophageal cancer patients Juhee Lee, Peter F. Thall, and Steven H. Lin
Ground-level ozone: Evidence of increasing serial dependence in the extremes Debbie J. Dupuis and Luca Trapin
Multilayer Knockoff Filter: Controlled variable selection at multiple resolutions Eugene Katsevich and  Chiara Sabatti
A penalized regression model for the joint estimation of eQTL associations and gene network structure Micol Marchetti-Bowick, Yaoliang Yu, Wei Wu, and Eric Poe Xing
Joint mean and covariance modeling of multiple health outcome measures Xiaoyue Niu and Peter D. Hoff
Bayesian latent hierarchical model for transcriptomic meta-analysis to detect biomarkers with clustered meta-patterns of differential expression signals Zhiguang Huo, Chi Song, and George Tseng
Modeling within-household associations in household panel studies Fiona Steele, Paul Clarke, and Jouni Kuha
A Bayesian race model for response times under cyclic stimulus discriminability Deborah Kunkel, Kevin Potter, Peter F. Craigmile, Mario Peruggia, and Trisha Van Zandt
Common and individual structure of brain networks Lu Wang, Zhengwu Zhang, and David Dunson
Fréchet estimation of time-varying covariance matrices from sparse data, with application to the regional co-evolution of myelination in the developing brain Alexander Petersen, Sean Deoni, and Hans-Georg Müller
The role of mastery learning in intelligent tutoring systems: Principal stratification on a latent variable Adam C. Sales and John F. Pane
Clonality: Point estimation Lu Tian, Yi Liu, Scott Boyd, Andrew Fire, and Richard Olshen
Capturing heterogeneity of covariate effects in hidden subpopulations in the presence of censoring and large number of covariates Farhad Shokoohi, Abbas Khalili, Masoud Asgharian, and Shili Lin
Bayesian analysis of infant’s growth dynamics with in utero exposure to environmental toxicants Jonggyu Baek, Bin Zhu, and Peter X. K. Song
Dynamics of homelessness in urban America Chris Glynn and Emily B. Fox
An algorithm for removing sensitive information: Application to race-independent recidivism prediction James Johndrow and Kristian Lum
Development of a common patient assessment scale across the continuum of care: A nested multiple imputation approach Chenyang Gu and Roee Gutman
A Bayesian Mallows approach to non-transitive pair comparison data: How human are sounds? Marta Crispino, Elja Arjas, Valeria Vitelli, Natasha Barrett, and Arnoldo Frigessi
Nonstationary spatial prediction of soil organic carbon:  Implications for stock assessment decision making Mark D. Risser, Catherine A. Calder, Veronica J. Berrocal, and Candace Berrett
Prediction models for network-linked data Tianxi Li, Elizaveta Levina, and Ji Zhu
Causal inference in the context of an error prone exposure: Air pollution and mortality Xiao Wu, Danielle Braun, Marianthi-Anna Kioumourtzoglou, Christine Choirat, Qian Di, and Francesca Dominici
Modeling biomarker ratios with gamma distributed components Moritz Berger, Michael Wagner, and Matthias Schmid
Bayesian hidden Markov tree models for clustering genes with shared evolutionary history Yang Li, Shaoyang Ning, Sarah E. Calvo, Vamsi K. Mootha, and Jun S. Liu
Sequential Dirichlet process mixtures of multivariate skew t-distributions for model-based clustering of flow cytometry data Boris P. Hejblum, Chariff Alkhassim, Raphael Gottardo, François Caron, and Rodolphe Thiébaut
Compositional mediation analysis for microbiome studies Michael Sohn and Hongzhe Li
Learning algorithms to evaluate forensic glass evidence Soyoung Park and Alicia Carriquiry
A hierarchical multivariate spatio-temporal model for clustered climate data with annual cycles Gianluca Mastrantonio, Giovanna Jona Lasinio, Alessio Pollice, Giulia Capotorti, Lorenzo Teodonio, Giulio Genova, and Carlo Blasi
Graphical models for zero-inflated single cell gene expression Andrew McDavid, Raphael Gottardo, Noah Simon, and Mathias Drton
Modelling multilevel spatial behaviour in binary-mark muscle fibre configurations Tilman Davies, Matthew Schofield, Jon Cornwall, and Philip Sheard
Extended sensitivity analysis for heterogeneous unmeasured confounding with an application to sibling studies of returns to education Colin B. Fogarty and Raiden B. Hasegawa
Fused comparative intervention scoring for heterogeneity of longitudinal intervention effects Jared Davis Huling, Menggang Yu, and Maureen A. Smith
Modelling ocean temperatures from bio-probes under preferential sampling Daniel Dinsdale and Matías Salibián-Barrera
Climate inference on daily rainfall across the Australian continent, 1876-2015 Michael Bertolacci, Edward Jerrold Cripps, Ori Rosen, John Lau, and Sally Ann Wood
Complete spatial model calibration Yen-Ning Huang, Brian J. Reich, Montserrat Fuentes, and A. Sankarasubramanian
Sparse principal component analysis with missing observations Seyoung Park and Hongyu Zhao
Latent space modelling of multidimensional networks with application to the exchange of votes in Eurovision Song Contest Silvia D’Angelo, Thomas Brendan Murphy, and Marco Alfò
Variable prioritization in nonlinear black box methods: A genetic association case study Lorin Crawford, Seth R. Flaxman, Daniel E. Runcie, and Mike West
Phylogeny-based tumor subclone identification using a Bayesian feature allocation model Li Zeng, Joshua Lindsey Warren, and Hongyu Zhao
TreeClone: Reconstruction of tumor subclone phylogeny based on mutation pairs using next generation sequencing data Tianjian Zhou, Subhajit Sengupta, Peter Mueller, and Yuan Ji
Coherence-based time series clustering for statistical inference and visualization of brain connectivity Carolina Euan, Ying Sun , and Hernando Ombao
Semi-parametric empirical best prediction for small area estimation of unemployment indicators Maria Francesca Marino, Maria Giovanna Ranalli, Nicola Salvati, and Marco Alfò
Adaptive gPCA: A method fo structured dimensionality reduction with applications to microbiome data Julia Fukuyama
Three-way clustering of multi-tissue multi-individual gene expression data using semi-nonnegative tensor decomposition Miaoyan Wang, Jonathan Fischer, and Yun S. Song
Modeling association in microbial communities with clique loglinear models Adrian Dobra, Camilo Valdes, Dragana Ajdic, Bertrand Clarke, and Jennifer Clarke
Nonparametric testing for differences in electricity prices: The case of the Fukushima nuclear accident Dominik Tobias Liebl
Estimating population average causal effects in the presence of non-overlap: The effect of natural gas compressor station exposure on cancer mortality Rachel C. Nethery, Fabrizia Mealli, and Francesca Dominici
The equivalence of the zero-truncated, one-inflated  likelihood and the zero-one-truncated likelihood for general count densities with an application to drink-driving in Britain Dankmar Boehning and Peter van der Heijden
Survival analysis of DNA mutation motifs with penalized proportional hazards Jean Feng, David A. Shaw, Vladimir N. Minin, Noah Simon, and Frederick A. Matsen IV
Modeling seasonality and serial dependence of electricity price curves with warping functional autoregressive dynamics Ying Chen, J. S. Marron, and Jiejie Zhang
Identifying and Estimating Principal Causal Effects in a Multi-site Trial of Early College High Schools Lo-Hua Yuan, Avi Feller, and Luke Miratrix
Early diagnosis of neurological disease using peak degeneration ages of multiple biomarkers Fei Gao, Yuanjia Wang, and Donglin Zeng
Nonparametric inference for immune response thresholds of risk in vaccine studies Kevin Morrell Donovan, Michael G. Hudgens, and Peter B. Gilbert
Radio-iBAG: Radiomics-based integrative Bayesian analysis of multiplatform genomic data Youyi Zhang, Jeffrey Morris, Shivali Narang Aerry, Arvind U. K. Rao, and Veera Baladandayuthapani
Imputation and post-selection inference in models with missing data: An application to colorectal cancer surveillance guidelines Lin Liu, Yuqi Qiu, Loki Natarajan, and Karen Messer
A hidden Markov model approach to characterizing the photo-switching behavior of fluorophores Lekha Patel, Nils Gustafsson, Yu Lin, Raimund Ober, Ricardo Henriques, and Edward Cohen
The classification permutation test: A flexible approach to testing for covariate imbalance Johann Gagnon-Bartsch and Yotam Shem-Tov
Identifying multiple changes for a functional data sequence with application to freeway traffic segmentation Jeng-Min Chiou, Yu-Ting Chen, and Tailen Hsing
Spatio-temporal short-term wind forecast: A calibrated regime-switching method Ahmed Aziz Ezzat, Mikyoung Jun, and Yu Ding
Network modelling of topological domains using Hi-C data Y. X. Rachel Wang, Purnamrita Sarkar, Oana Ursu, Anshul Kundaje, and Peter J. Bickel
Fast dynamic nonparametric distribution tracking in electron microscopic data Yanjun Qian, Jianhua Z. Huang, Chiwoo Park, and Yu Ding
Wavelet spectral testing: Application to nonstationary circadian rhythms Jessica Kate Hargreaves, Marina Knight, Jon Pitchford, Rachael Oakenfull, Sangeeta Chawla, Jack Munns, and Seth Davis
Distributional regression forests for probabilistic precipitation forecasting in complex terrain Lisa Schlosser, Torsten Hothorn, Reto Stauffer, and Achim Zeileis