Brian Reich
Bio
Brian is the Gertrude M Cox Distinguished Professor of Statistics at North Carolina State University. His research interests include Bayesian methods, spatial statistics, extreme value analysis, variable selection and dimension reduction and machine learning. In addition to these methodological interests, Brian applies these methods to environmental areas such as ecology, epidemiology, meteorology and climate.
Publications
- A Gaussian-process approximation to a spatial SIR process using moment closures and emulators , BIOMETRICS (2024)
- A diverse portfolio of marine protected areas can better advance global conservation and equity , PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2024)
- Estimating spatially varying health effects of wildland fire smoke using mobile health data , JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS (2024)
- MODELING EXTREMAL STREAMFLOW USING DEEP LEARNING APPROXIMATIONS AND A FLEXIBLE SPATIAL PROCESS , ANNALS OF APPLIED STATISTICS (2024)
- Measurement of Hydro-EVE and 6:2 FTS in Blood from Wilmington, North Carolina, Residents, 2017-2018 , ENVIRONMENTAL HEALTH PERSPECTIVES (2024)
- Modeling wildland fire burn severity in California using a spatial Super Learner approach , ENVIRONMENTAL AND ECOLOGICAL STATISTICS (2024)
- Reanalysis of PFO5DoA Levels in Blood from Wilmington, North Carolina, Residents, 2017-2018 , ENVIRONMENTAL HEALTH PERSPECTIVES (2024)
- Regime-based precipitation modeling: A spatio-temporal approach , SPATIAL STATISTICS (2024)
- The R2D2 Prior for Generalized Linear Mixed Models , AMERICAN STATISTICIAN (2024)
- A Data-Fusion Approach to Assessing the Contribution of Wildland Fire Smoke to Fine Particulate Matter in California , REMOTE SENSING (2023)