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.
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Updated
Feb 6, 2026 - Python
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ratemaking
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Credibility models for actuarial pricing: Bühlmann, Bühlmann-Straub, Jewell hierarchical, Hachemeister regression, classical, and Bayesian (PyMC). pip install actuarcredibility
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May 2, 2026 - Python
Burning cost analysis for P&C ratemaking: chain-ladder, Bornhuetter-Ferguson, trend estimation, premium on-leveling, Mack residuals. pip install burncost
python insurance pricing trending actuarial mack chain-ladder bornhuetter-ferguson loss-development ratemaking
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May 2, 2026 - Python
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