Prof​​. Raphael Huser's group focuses on two aspects of extreme statistics:
 
  1. Development of statistical models and inference methods for extreme events. Although the methodology might be applied in a wide range of contexts, we are mainly interested in the modeling of complex environmental extremes, such as floods, heat waves, wind speeds, etc. Important questions include the characterization of space-time dependence at extreme levels, the modeling and estimation of non-stationarity (in space and time), and the development of efficient inference methods to fit these extremal models to real data.​
  2. Development of efficien​t methods for large datasets. These include the development of inference a​pproaches for complicated extremal models (e.g., composite likelihoods, local likelihoods, etc.), the joint modeling of multiple parallel time series, or the spatial prediction for large datasets.