Biography
Raphaël Huser is an Assistant Professor of Statistics in the Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division at KAUST. He completed his PhD in 2013 at the Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland, under the supervision of Professor Anthony Davison and spent about a year as a Postdoctoral Research Fellow at KAUST in 2014. Raphael Huser received the EPFL Doctorate Award 2014, the Lambert Award 2015 for young statisticians from the Swiss Statistical Society, and the award for the Best 2016 Paper published in the Journal of Agricultural, Biological and Environmental Statistics (JABES). He is an elected member of the International Statistical Institute (ISI) and currently serves as an Associate Editor for the journal Extremes. Raphael Huser's main research interests lie at the intersection between statistics of extreme events, risk assessment, spatio-temporal statistics, dependence modeling for complex systems, and statistical approaches for large datasets, with particular focus on environmental applications such as the prediction of extreme flooding, droughts, and wind gusts. He develops statistical models for rare events, as well as efficient inference methods to fit them to data.
All sessions by Raphaël Huser
Bayesian tail regression for the estimation of extreme spatio-temporal quantiles (Prof. Raphaël Huser, KAUST)
03:45 PM
This work has been motivated by the challenge of the 2017 conference on Extreme-Value Analysis (EVA2017), with the goal of predicting daily precipitation quantiles at the $99.8\%$ level for each month at observed and unobserved locations.