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.
Roles
Publications
- Sequential Optimization in Locally Important Dimensions (2020)
- Spatiotemporal signal detection using continuous shrinkage priors (2020)
- A Bayesian multivariate functional model with spatially varying coefficient approach for modeling hurricane track data (2019)
- A Feed Forward Neural Network Based on Model Output Statistics for Short-Term Hurricane Intensity Prediction (2019)
- A Spatial Markov Model for Climate Extremes (2019)
- A Spatio-Temporal Model for Longitudinal Image-on-Image Regression (2019)
- A TEST FOR ISOTROPY ON A SPHERE USING SPHERICAL HARMONIC FUNCTIONS (2019)
- A multivariate spatial skew-t process for joint modeling of extreme precipitation indexes (2019)
- A spatial kernel density method to estimate the diet composition of fish (2019)
- Bayesian Nonparametric Policy Search With Application to Periodontal Recall Intervals (2019)