International audienceIn this paper, we consider isotropic and stationary max-stable, inverse max-stable and max-mixture processes X=(X(s))s∈R2 and the damage process DνX=|X|ν with 0<ν<1/2. We study the quantitative behaviour of a risk measure which is the variance of the average of DνX over a region A⊂R2. This kind of risk measure has already been introduced and studied for some max-stable processes in Koch [Spatial risk measures and applications to max-stable processes, Extremes 20(3) (2017), pp. 635–670]
International audienceIn the analysis of coastal hazards, the features of extreme waves are determin...
Les catastrophes naturelles comme les canicules, les tempêtes ou les précipitations extrêmes, provie...
For managing risks in climate or environmental fields, max-stable processes can be used as models fo...
International audienceIn this paper, we consider isotropic and stationary max-stable, inverse max-st...
When dealing with environmental or climatic changes, a natural spatial dependence aspect appears. Th...
In this paper, we study the quantitative behavior of a spatial risk measure corresponding to a damag...
La modélisation probabiliste des événements climatiques et environnementaux doit prendre en compte l...
• One common way to deal with extreme value analysis in spatial statistics is by using the max-stabl...
An accurate assessment of the risk of extreme environmental events is of great importance for popula...
Being the max-analogue of α-stable stochastic processes, max-stable processes form one of the fundam...
Environmental problems such as floods require statistical analysis that takes into account the compl...
Max-stable processes play a fundamental role in modeling the spatial dependence of extremes because ...
Max-stable processes are widely used to model spatial extremes. These processes exhibit asymptotic d...
Spatial extreme value analysis has been an area of rapid growth in the last decade. The focus has be...
International audienceOne of the main concerns in extreme value theory is to quantify the dependence...
International audienceIn the analysis of coastal hazards, the features of extreme waves are determin...
Les catastrophes naturelles comme les canicules, les tempêtes ou les précipitations extrêmes, provie...
For managing risks in climate or environmental fields, max-stable processes can be used as models fo...
International audienceIn this paper, we consider isotropic and stationary max-stable, inverse max-st...
When dealing with environmental or climatic changes, a natural spatial dependence aspect appears. Th...
In this paper, we study the quantitative behavior of a spatial risk measure corresponding to a damag...
La modélisation probabiliste des événements climatiques et environnementaux doit prendre en compte l...
• One common way to deal with extreme value analysis in spatial statistics is by using the max-stabl...
An accurate assessment of the risk of extreme environmental events is of great importance for popula...
Being the max-analogue of α-stable stochastic processes, max-stable processes form one of the fundam...
Environmental problems such as floods require statistical analysis that takes into account the compl...
Max-stable processes play a fundamental role in modeling the spatial dependence of extremes because ...
Max-stable processes are widely used to model spatial extremes. These processes exhibit asymptotic d...
Spatial extreme value analysis has been an area of rapid growth in the last decade. The focus has be...
International audienceOne of the main concerns in extreme value theory is to quantify the dependence...
International audienceIn the analysis of coastal hazards, the features of extreme waves are determin...
Les catastrophes naturelles comme les canicules, les tempêtes ou les précipitations extrêmes, provie...
For managing risks in climate or environmental fields, max-stable processes can be used as models fo...