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Raphaël Huser

Assistant Professor, Statistics

Computer, Electrical and Mathematical Science and Engineering Division


Extreme Statistics Research Group

Affiliations

Education Profile

  • ​​​​​Postdoctoral Research Fellow, King Abdullah University of Science and Technology 2014-2015
  • Ph.D. Statistics, Swiss Federal Institute of Technology (EPFL), 2013
  • M.Sc. Applied Mathematics, Swiss Federal Institute of Technology (EPFL), 2009
  • B.Sc. Mathematics, Swiss Federal Institute of Technology (EPFL), 2007

Research Interests

​Professor Huser's main research interests lie at the intersection between statistics of extreme events, risk assessment, spatio-temporal statistics, 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.

Selected Publications

  • ​Huser, R. and Wadsworth, J. (2017+), Modeling spatial processes with unnown extremal dependence class, Journal of the American Statistical Association - Theory and Methods, To appear.
  • Huser, R., Opitz, T., and Thibaud, E. (2017), Bridging asymtomatic independence and dependence in spatial extremes using Gaussian scale mixtures, Spatial Statistics 21, 166-186.
  • Krupskii, P., Huser, R., and Genton, M.G. (2017), Factor copula models for replicated spatial data, Journal of the American Statistical Association - Theory and Methods, To appear.
  • Huser, R., Davison, A.C., and Genton, M.G. (2016), Likelihood estimators for multivariate extremes, Extremes 19, 79-103.
  • Huser, R. and Davison, A.C. (2014), Space-time modeling of extreme events, Journal of the Royal Statistical Society (Series B) 76(2), 439-461.