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Statistical Post-Processing Methods And Their Implementation On The Ensemble ...
The thesis has for objective to study new statistical methods to correct temperature predictionsthat may be implemented on the ensemble prediction system (EPS) of... -
Bayesian model mergings for multivariate extremes Application to regional pre...
Uni-variate extreme value theory extends to the multivariate case but the absence of a natural parametric framework for the joint distribution of extremes complexifies... -
Information-geometric methods for mixture models
This thesis presents new methods for mixture model learning based on information geometry. We focus on mixtures of exponential families, which encompass a large number... -
Semi-parametric mixture models and applications to multiple testing
In a multiple testing context, we consider a semiparametric mixture model with two components. One component is assumed to be known and corresponds to the distribution... -
Probabilistic modelling of S-N curves
S-N curve is the main tool to analyze and predict fatigue lifetime of a material, component or structure. But, standard models based on mechanic of rupture theory or...
