Spatial extreme value analysis has been an area of rapid growth in the last decade. The focus has been on modelling the spatial componentwise maxima by max-stable processes. Here, we will explain the limitations of these modelling approaches and show how spatial models can be developed that overcome these deficiencies by exploiting the flexible conditional multivariate extremes models of Heffernan and Tawn (2004). We illustrate the benefits of these new spatial models through applications to North Sea wave analysis and to widespread UK river flood risk analysis
Recent extreme value theory literature has seen significant emphasis on the modelling of spatial ext...
The last decade has seen max-stable processes emerge as a powerful tool for the statistical modeling...
Recent extreme value theory literature has seen significant emphasis on the modelling of spatial ext...
Extreme environmental events endanger human life and cause serious damage to property and infrastruc...
Currently available models for spatial extremes suffer either from inflexibility in the dependence s...
Projection of future extreme events is a major issue in a large number of areas including the enviro...
The classical modeling of spatial extremes relies on asymptotic models (i.e., max‐stable or r‐Pareto...
Max-stable processes play a fundamental role in modeling the spatial dependence of extremes because ...
We describe a model for the conditional dependence of a spatial process measured at one or more remo...
International audienceIn the analysis of coastal hazards, the features of extreme waves are determin...
• One common way to deal with extreme value analysis in spatial statistics is by using the max-stabl...
I From heat waves to hurricanes, often the environmental processes that are the most critical to und...
The extremes of environmental processes are often of interest due to the damage that can be caused b...
The conditional extremes framework allows for event-based stochastic modeling of dependent extremes,...
Recently there has been a lot of effort to model extremes of spatially dependent data. These effort...
Recent extreme value theory literature has seen significant emphasis on the modelling of spatial ext...
The last decade has seen max-stable processes emerge as a powerful tool for the statistical modeling...
Recent extreme value theory literature has seen significant emphasis on the modelling of spatial ext...
Extreme environmental events endanger human life and cause serious damage to property and infrastruc...
Currently available models for spatial extremes suffer either from inflexibility in the dependence s...
Projection of future extreme events is a major issue in a large number of areas including the enviro...
The classical modeling of spatial extremes relies on asymptotic models (i.e., max‐stable or r‐Pareto...
Max-stable processes play a fundamental role in modeling the spatial dependence of extremes because ...
We describe a model for the conditional dependence of a spatial process measured at one or more remo...
International audienceIn the analysis of coastal hazards, the features of extreme waves are determin...
• One common way to deal with extreme value analysis in spatial statistics is by using the max-stabl...
I From heat waves to hurricanes, often the environmental processes that are the most critical to und...
The extremes of environmental processes are often of interest due to the damage that can be caused b...
The conditional extremes framework allows for event-based stochastic modeling of dependent extremes,...
Recently there has been a lot of effort to model extremes of spatially dependent data. These effort...
Recent extreme value theory literature has seen significant emphasis on the modelling of spatial ext...
The last decade has seen max-stable processes emerge as a powerful tool for the statistical modeling...
Recent extreme value theory literature has seen significant emphasis on the modelling of spatial ext...