[PDF][PDF] evmix: An R package for extreme value mixture modeling, threshold estimation and boundary corrected kernel density estimation

Y Hu, C Scarrott - 2018 - ir.canterbury.ac.nz
evmix is an R package (R Core Team 2017) with two interlinked toolsets: i) for extreme value
modeling and ii) kernel density estimation. A key issue in univariate extreme value modeling …

Micro-level prediction of outstanding claim counts based on novel mixture models and neural networks

A Bücher, A Rosenstock - European Actuarial Journal, 2023 - Springer
Predicting the number of outstanding claims (IBNR) is a central problem in actuarial loss
reserving. Classical approaches like the Chain Ladder method rely on aggregating the …

Univariate extreme value mixture modeling

C Scarrott - Extreme Value Modeling and Risk Analysis …, 2016 - api.taylorfrancis.com
A plethora of univariate extreme value mixture models have been developed, which
combine a classic tail model with a component to describe the bulk of the distribution. The …

[PDF][PDF] Micro-level Prediction of Outstanding Claim Counts using Neural Networks

A Bücher, A Rosenstock - Available at SSRN 3949754, 2021 - papers.ssrn.com
Micro-level Prediction of Outstanding Claim Counts using Neural Networks Page 1 Micro-level
Prediction of Outstanding Claim Counts using Neural Networks Axel Bücher, Alexander …

[PDF][PDF] Application de la théorie des valeurs extrêmes dans le cadre de l'implémentation d'un modele interne

X Servel, S Tran - Mémoire d'actuariat, 2012 - ressources-actuarielles.net
Résumé Le présent article s' intéresse aux méthodologies de calcul de quantiles extrêmes
dans le cadre de Solvabilité II. Nous développons des méthodes basées sur la théorie des …

[引用][C] Mémoire d'Actuariat Application de la Théorie des Valeurs Extrêmes dans le Cadre de l'Implémentation d'un Modele Interne

X Servel, S Tran - 2012