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Clustering extremal dependence structures via Wasserstein distances between angular measures
Compound extreme events cause damage out of proportion to their frequency, and grouping random vectors by their joint extremal behaviour is a recurring task in climate science, hydrology, and finance. Classical clustering is driven by typical observations, while existing extremal procedures either s
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