Add to ORKGInternational audienceIn this paper, focus is done on spatial models for extreme events and on their respective efficiency regarding the estimation of two risk measures: one extrapolating marginal distributions and one summarizing the spatial bivariate dependence of extremes. A wide comparison is performed on an innovative simulation plan that has been specifically designed from a daily precipitation data set. The objective of this paper is twofold: firstly, pointing out the inherent properties of each model, and secondly, advising users on how to choose the model depending on the specific type of risk
© 2018 Dr. Kate SaundersIn this thesis, we use extreme value theory to fit statistical models to obs...
Rare events are part of the real world but inevitably environmental extreme events may have a massiv...
We propose an approach to spatial modeling of extreme rainfall, based on max-stable processes fitted...
In this paper, focus is done on spatial models for extreme events and on their respective efficiency...
Abstract. The areal modeling of the extremes of a natural process such as rainfall or temperature is...
Extreme rainfall does not occur in spatial isolation. Rainfall occurs in a region, and within that r...
Extreme rainfall does not occur in spatial isolation. Rainfall occurs in a region, and within that r...
The areal modeling of the extremes of a natural process such as rainfall or temperature is important...
The occurrence of rainfalls of high magnitude constitutes a primary natural hazard in many parts of...
Improving the analysis of the intensity and frequency of spatial extreme precipitation is essential ...
xtreme value analysis is concerned with the modelling of extreme events such as floods and heatwaves...
AbstractIt is well recognized that the generalized extreme value (GEV) distribution is widely used f...
I From heat waves to hurricanes, often the environmental processes that are the most critical to und...
International audienceTo better manage the risks of destructive natural disasters, impact models can...
International audienceIn statistics, extreme events are classically defined as maxima over a block l...
© 2018 Dr. Kate SaundersIn this thesis, we use extreme value theory to fit statistical models to obs...
Rare events are part of the real world but inevitably environmental extreme events may have a massiv...
We propose an approach to spatial modeling of extreme rainfall, based on max-stable processes fitted...
In this paper, focus is done on spatial models for extreme events and on their respective efficiency...
Abstract. The areal modeling of the extremes of a natural process such as rainfall or temperature is...
Extreme rainfall does not occur in spatial isolation. Rainfall occurs in a region, and within that r...
Extreme rainfall does not occur in spatial isolation. Rainfall occurs in a region, and within that r...
The areal modeling of the extremes of a natural process such as rainfall or temperature is important...
The occurrence of rainfalls of high magnitude constitutes a primary natural hazard in many parts of...
Improving the analysis of the intensity and frequency of spatial extreme precipitation is essential ...
xtreme value analysis is concerned with the modelling of extreme events such as floods and heatwaves...
AbstractIt is well recognized that the generalized extreme value (GEV) distribution is widely used f...
I From heat waves to hurricanes, often the environmental processes that are the most critical to und...
International audienceTo better manage the risks of destructive natural disasters, impact models can...
International audienceIn statistics, extreme events are classically defined as maxima over a block l...
© 2018 Dr. Kate SaundersIn this thesis, we use extreme value theory to fit statistical models to obs...
Rare events are part of the real world but inevitably environmental extreme events may have a massiv...
We propose an approach to spatial modeling of extreme rainfall, based on max-stable processes fitted...