Learning Inter-Annual Flood Loss Risk Models from Historical Flood Insurance Claims
This research evaluates different regression models to predict #flood-induced #insuranceclaims, using the #us #national #floodinsurance...
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Rechercher
20 déc. 2022
Prediction of Auto Insurance Risk Based on t-SNE Dimensionality Reduction
"... we develop a framework based on a combination of a neural network together with a dimensionality reduction technique t-SNE...
27 oct. 2022
A parametric approach to the estimation of convex risk functionals based on Wasserstein distance
" The aim is to come up with a convex risk functional that incorporates a sefety margin with respect to nonparametric uncertainty and...
17 mai 2022
Mack-Net model: Blending Mack's model with Recurrent Neural Networks
"... blending traditional reserving models with deep and machine learning techniques leads to a more accurate assessment of general...
8 févr. 2022
Corporate Controversies and Financial Stability in the Non-Life Insurance Industry
"Neural networks are suggested for learning a map from d -dimensional samples with any underlying dependence structure to multivariate...
8 févr. 2022
Dependence model assessment and selection with DecoupleNets
"Neural networks are suggested for learning a map from d' dimensional samples with any underlying dependence structure to multivariate...
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