Severity and frequency fitting and aggregate loss distributions: transformed beta and gamma catalogs, truncation- and censoring-aware MLE, FFT and Panjer.
-
Updated
Jul 13, 2026 - Python
Severity and frequency fitting and aggregate loss distributions: transformed beta and gamma catalogs, truncation- and censoring-aware MLE, FFT and Panjer.
Monte Carlo simulation of insurance losses using a frequency–severity model with Poisson claim frequency, lognormal and gamma severity distributions, and tail risk analysis.
Add a description, image, and links to the loss-modeling topic page so that developers can more easily learn about it.
To associate your repository with the loss-modeling topic, visit your repo's landing page and select "manage topics."