Statistical Modeling Using Bayesian Latent Gaussian Models With Applications in Geophysics and Environmental Sciences

Dr. Birgir Hrafnkelsson is Professor of Statistics at the University of Iceland. He is an expert in computation for Bayesian latent Gaussian models, spatial statistics, spatio-temporal models, and applications of Bayesian latent Gaussian models in geophysics and environmental sciences. He has worked with experts in glaciology, seismology, engineering seismology, hydrology, meteorology and climatology. His research projects include; fast inference methods for latent Gaussian models; physical-statistical modeling of glacier dynamics; statistical ground motion models for seismic intensity measures; construction of discharge rating curves in open channel flow that make use of the underlying physics; statistical postprocessing for weather forecasting; and statistical models for spatial extremes with applications to temperature, precipitation and flood data.