#
iard
Here are 3 public repositories matching this topic...
An end-to-end R actuarial pipeline utilizing freMTPL2. It covers data cleaning, capping extreme severity risks (99% quantile), and fitting a Quasi-Poisson model for frequency and a Gamma model for severity. Features annual exposure scoring, portfolio off-balancing for financial equilibrium, and decile-based lift validation.
-
Updated
Aug 8, 2026 - R
L'intervalle de Mack sur les triangles de sinistres : les 38 chiffres de l'article de 1993 retrouvés, puis une couverture mesurée à 59 et 74 % au lieu des 95 % promis, sur 207 assureurs
-
Updated
Sep 5, 2026 - Python
Add this topic to your repo
To associate your repository with the iard topic, visit your repo's landing page and select "manage topics."