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Paper

Gradient boosting for extremes: sampling theory and application to insurance

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AI summary

arXiv:2606. 14268v1 Announce Type: new Abstract: We develop a statistical learning theory for gradient boosting applied to the estimation of covariate-dependent Generalized Pareto (GP) distributions in the context of Peaks-over-Threshold modeling.