Brian Reich

37 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0002-5473-120X

* Department of Statistics, North Carolina State University

Publications

• Functional Principal Component Analysis for Sparse Censored Data — Biometrika 2026
• Modeling extremal streamflow using deep learning approximations and a flexible spatial process — The Annals of Applied Statistics 2024
• Distributed Inference for Spatial Extremes Modeling in High Dimensions — Journal of the American Statistical Association 2024
• Valid Model-Free Spatial Prediction — Journal of the American Statistical Association 2024
• A penalized complexity prior for deep Bayesian transfer learning with application to materials informatics — The Annals of Applied Statistics 2023
• Spectral adjustment for spatial confounding — Biometrika 2023
• A spatial causal analysis of wildland fire-contributed PM2.5 using numerical model output — The Annals of Applied Statistics 2022
• Bayesian Regression Using a Prior on the Model Fit: The R2-D2 Shrinkage Prior — Journal of the American Statistical Association 2022
• Bayesian Nonparametric Policy Search With Application to Periodontal Recall Intervals — Journal of the American Statistical Association 2020
• Integrative statistical methods for exposure mixtures and health — The Annals of Applied Statistics 2020
• Fine-Scale Spatiotemporal Air Pollution Analysis Using Mobile Monitors on Google Street View Vehicles — Journal of the American Statistical Association 2020
• MIMIX: A Bayesian Mixed-Effects Model for Microbiome Data From Designed Experiments — Journal of the American Statistical Association 2020
• A nonparametric spatial test to identify factors that shape a microbiome — The Annals of Applied Statistics 2019
• Complete spatial model calibration — The Annals of Applied Statistics 2019
• Scalar-on-image regression via the soft-thresholded Gaussian process — Biometrika 2018
• Spatiotemporal Modeling of Node Temperatures in Supercomputers — Journal of the American Statistical Association 2017
• Optimal Seed Deployment Under Climate Change Using Spatial Models: Application to Loblolly Pine in the Southeastern US — Journal of the American Statistical Association 2017
• Data mining to investigate the meteorological drivers for extreme ground level ozone events — The Annals of Applied Statistics 2016
• A Markov-switching model for heat waves — The Annals of Applied Statistics 2016
• Comment — Journal of the American Statistical Association 2016
• Quantile regression for mixed models with an application to examine blood pressure trends in China — The Annals of Applied Statistics 2015
• False discovery control in large-scale spatial multiple testing — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2015
• Modeling the effect of temperature on ozone-related mortality — The Annals of Applied Statistics 2014
• Extreme value analysis for evaluating ozone control strategies — The Annals of Applied Statistics 2013
• Discussion of “Estimating the historical and future probabilities of large terrorist events” by Aaron Clauset and Ryan Woodard — The Annals of Applied Statistics 2013
• A Nonparametric Spatial Model for Periodontal Data With Nonrandom Missingness — Journal of the American Statistical Association 2013
• A hierarchical max-stable spatial model for extreme precipitation — The Annals of Applied Statistics 2012
• Consistent High-Dimensional Bayesian Variable Selection via Penalized Credible Regions — Journal of the American Statistical Association 2012
• Bayesian geostatistical modelling with informative sampling locations — Biometrika 2011
• A class of covariate-dependent spatiotemporal covariance functions for the analysis of daily ozone concentration — The Annals of Applied Statistics 2011 (name-matched, not ORCID-linked)
• Bayesian Spatial Quantile Regression — Journal of the American Statistical Association 2011
• Noncrossing quantile regression curve estimation — Biometrika 2010
• A latent factor model for spatial data with informative missingness — The Annals of Applied Statistics 2010
• Spatial–temporal mesoscale modeling of rainfall intensity using gage and radar data — The Annals of Applied Statistics 2008
• Spatial Analyses of Periodontal Data Using Conditionally Autoregressive Priors Having Two Classes of Neighbor Relations — Journal of the American Statistical Association 2007
• A multivariate semiparametric Bayesian spatial modeling framework for hurricane surface wind fields — The Annals of Applied Statistics 2007
• A Spectral Confounder Adjustment for Spatial Regression with Multiple Exposures and Outcomes — Journal of the American Statistical Association