A measure of pairwise extremal dependence for spatial processes, that is marginally invariant, is introduced. This measure enables decisions to be made about whether a spatial process is asymptotically dependent, asymptotically independent or independent for any pair of locations, thus it provides fundamental diagnostic information for understanding or modeling the extreme values of a spatial process. We illustrate the properties and use of this measure through theoretical examples and applications in hydrology and oceanography
Many environmental processes exhibit weakening spatial dependence as events become more extreme. Wel...
By considering pointwise maxima of independent stationary random processes with dependent Cauchy mar...
The extremal dependence of stationary time-series at pairs of locations can be summarised using one ...
A measure of pairwise extremal dependence for spatial processes, that is marginally invariant, is in...
The coefficient of tail dependence η and a slowly varying function L provide information about pairw...
We present properties of a dependence measure that arises in the study of extreme values in multivar...
Volume 1Volume 1For spatial processes such as environmental ones, it is of great importance to under...
We present properties of a dependence measure that arises in the study of extreme values in multivar...
The statistical theory of extremes is extended to independent multivariate observations that are non...
• One common way to deal with extreme value analysis in spatial statistics is by using the max-stabl...
Spatial environmental processes often exhibit dependence in their large values. In order to model su...
Offshore structures, such as oil platforms and vessels, must be built such that they can withstand e...
We describe a model for the conditional dependence of a spatial process measured at one or more remo...
Summary. The analysis of extreme values within a stationary time series entails various assumptions ...
Projection of future extreme events is a major issue in a large number of areas including the enviro...
Many environmental processes exhibit weakening spatial dependence as events become more extreme. Wel...
By considering pointwise maxima of independent stationary random processes with dependent Cauchy mar...
The extremal dependence of stationary time-series at pairs of locations can be summarised using one ...
A measure of pairwise extremal dependence for spatial processes, that is marginally invariant, is in...
The coefficient of tail dependence η and a slowly varying function L provide information about pairw...
We present properties of a dependence measure that arises in the study of extreme values in multivar...
Volume 1Volume 1For spatial processes such as environmental ones, it is of great importance to under...
We present properties of a dependence measure that arises in the study of extreme values in multivar...
The statistical theory of extremes is extended to independent multivariate observations that are non...
• One common way to deal with extreme value analysis in spatial statistics is by using the max-stabl...
Spatial environmental processes often exhibit dependence in their large values. In order to model su...
Offshore structures, such as oil platforms and vessels, must be built such that they can withstand e...
We describe a model for the conditional dependence of a spatial process measured at one or more remo...
Summary. The analysis of extreme values within a stationary time series entails various assumptions ...
Projection of future extreme events is a major issue in a large number of areas including the enviro...
Many environmental processes exhibit weakening spatial dependence as events become more extreme. Wel...
By considering pointwise maxima of independent stationary random processes with dependent Cauchy mar...
The extremal dependence of stationary time-series at pairs of locations can be summarised using one ...