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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Jul 15, 2026 - Python
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ratemaking
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Manual and experience rating, credibility blending, and rate indication with an audit trail; GLM relativities and frequency-severity modeling.
python insurance rating pricing glm renewal retention health-insurance credibility actuarial underwriting actuarial-science experience-rating ratemaking manual-rating relativities rate-indication
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Jul 14, 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
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
Frequency-severity GLM pricing framework in R on 678K French motor policies: Poisson frequency with exposure offset, Gamma severity, Tweedie benchmark, credibility-weighted rate table.
r glm generalized-linear-models tweedie poisson-regression actuarial-science insurance-pricing ratemaking
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Aug 7, 2026 - R
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