Gradient boosting for extremes: sampling theory and application to insurance

Stéphane Lhaut, Olivier Lopez

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-T…