Young researchers school on analyzing extreme events distributions

Program

Final program here

Confirmed speakers

Juliette Blanchet : Spatial modelling of extreme snow epth in Switzerland.
Julie Carreau : Statistical downscaling of precipitation with neural network conditional mixture models.
Nicolas Eckert : Use of a numerical model within a Bayesian framework for evaluation of extreme avalanches and optimail design of defense structures.
Douglas Maraun : Extreme Value Theory - An introduction to block maxima approach.
Esterina Masiello : On some statistical issues related to extreme value theory and insurance.
Cécile Mercadier : Risk measures and multivariate extensions of Breiman's theorem.
Benjamin Renard : Extreme Value Theory and Practice in Hydrology.
Mathieu Ribatet : Geostatistics of Extremes.
Henning Rust : Block maxima approach : Temporal variation, covariates and the influence of synoptic airflow on UK dialy precipitation extremes.
Gwladys Toulemonde : Hidden Markov Models for Gumbel Maxima.

Wikipedia

link to the "new" wikipedia webpage on Extreme Value Theory here

Posters

Castebrunet Hélène : Climatology of significant natural avalanche events of the past 50 years in the Franch Alps.
Lekina Alexandre : Extreme Level Curves of Heavy-Tailed Distributions.
Orlowsky Boris : Trends of Extreme indices in the IPCC AR4.
Rietsch Théo : Extensions of the folding.
Rousselot Marie : Statistical downscaling of RCM's climate scenarios in the French Alps - Impact on snow cover.
Russo Simone : Sea surface temperature extremes on the Benguela from regional ocean model.
Scheuerer Michael : Ensemble calibration for weather trajectories.
Schindler Anne : The annual cycle of intensity and frequency of extreme precipitation events across the UK in observations and future projections.
Schorgen Antoine : Lambda-Madogram and asymptotic independence.
Smith Isabelle : Bayesian hypothesis testing with the posterior distribution of the likelihood ratio.
Toledano Michael : Conditional Survival Function Estimation and Conditional Extreme Value Modeling.
Worms Rym : Empirical Likelihood based Confidence Regions for parameters of a heavy tailed distribution.