Brian Reich
Professor
Forecasting Landscape and Environmental Change, Spatial Statistics
Statistics
Bio
Brian uses geospatial analytics to explore patterns in data from the environmental, physical and materials sciences. He develops approaches using spatial statistics, extreme value analysis, quantile regression, variable selection and dimension reduction. His interests include both methodological questions in statistics and applications of statistical methods to problems such as air pollution and climate change.
Publications
- A Data-Fusion Approach to Assessing the Contribution of Wildland Fire Smoke to Fine Particulate Matter in California , REMOTE SENSING (2023)
- A cross-sectional analysis of medical conditions and environmental factors associated with fractional exhaled nitric oxide (FeNO) in women and children from the ISA birth cohort, Costa Rica , ENVIRONMENTAL RESEARCH (2023)
- A deep learning synthetic likelihood approximation of a non-stationary spatial model for extreme streamflow forecasting , SPATIAL STATISTICS (2023)
- A nonparametric test of group distributional differences for hierarchically clustered functional data , BIOMETRICS (2023)
- Beyond Simple Trend Tests: Detecting Significant Changes in Design-Flood Quantiles , GEOPHYSICAL RESEARCH LETTERS (2023)
- Cretaceous climates: Mapping paleo-Koppen climatic zones using a Bayesian statistical analysis of lithologic, paleontologic, and geochemical proxies , PALAEOGEOGRAPHY PALAEOCLIMATOLOGY PALAEOECOLOGY (2023)
- Distributed Inference for Spatial Extremes Modeling in High Dimensions , JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2023)
- Estimating atmospheric motion winds from satellite image data using space-time drift models , ENVIRONMETRICS (2023)
- Residential Structural Racism and Prevalence of Chronic Health Conditions , JAMA NETWORK OPEN (2023)
- Spatial regression modeling via the R2D2 framework , ENVIRONMETRICS (2023)