ratemaking
The complete actuarial pricing flow for Python. A structured framework that unifies GLM modeling, proper offset handling, and predictive diagnostics for professional non-life insurance pricing.
Manual and experience rating, credibility blending, and rate indication with an audit trail; GLM relativities and frequency-severity modeling.
Credibility models for actuarial pricing: Bühlmann, Bühlmann-Straub, Jewell hierarchical, Hachemeister regression, classical, and Bayesian (PyMC). pip install actuarcredibility
Burning cost analysis for P&C ratemaking: chain-ladder, Bornhuetter-Ferguson, trend estimation, premium on-leveling, Mack residuals. pip install burncost
