Raphaël Huser

Assistant Professor, Applied Mathematics and Computational Science

Computer, Electrical and Mathematical Science and Engineering Division

Extreme Statistics Research Group


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

  • ​Davison, A.C. and Huser, R. (2015), Statistics of extremes, Annual Reviews of Statistics and Its Application 2, 9.1-9.33
  • 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
  • Davison, A.C., Huser, R. and Thibaud, E. (2013), Geostatistics of dependent and asymptotically independent extremes, Mathematical Geosciences 45(5), 511-529
  • Huser, R. and Davison, A.C. (2013), Composite likelihood estimation for the Brown-Resnick process, Biometrika 100(2), 511-518
  • Anderes, E., Huser, R., Nychka, D. and Coram, M. (2013), Nonstationary positive definite tapering on the plane, Journal of Computational and Graphical Statistics 22(4), 848-865