Tools for creating and working with aggregate probability distributions.
An open-source Python framework for actuarial cash flow models
Life Actuarial Maths
Easily Reference and use Actuarial Mortality Tables
Examples and Tutorials using JuliaActuary packages.
A handy tool for actuarial modeling, which is designed to achieve both accuracy and accountability.
Data collection and exploratory analysis related to COVID-19 for general insurance actuaries and the public
Python package to solve actuarial life-contingent risks
Classification of reserve risk with chain-ladder
A comprehensive Rust library for actuarial mortality table calculations and life insurance mathematics
Multi-Population Mortality Modeling With Neural Networks
All Jupyter Notebooks implemented by Open Source Modelling in one place.
Black and Sholes model for simulating the stock market in Python.
This will house subprojects associated with research papers sponsored by the CAS
Validation checks for EIOPA technical submissions written and documented in Jupyter notebooks.
In this notebook we take a look at a relevant project that is frequently encountered by insurers: Fraud Detection. For this purpose we use a car data set from a public source and will show the necessary steps to establish an automated fraud detection.
Publication for U.S. Patent 11516295 (Inventor, Issued to State Farm on Nov. 29 2022)
Python implementation of the Dothan short-rate model.
Case study on using wellness plans to increase life expectancy of insureds and affordability of their plans while simultaneously increasing the profits of the insurer.
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