Actuarial
A curated list of free and open source actuarial software
Data collection and exploratory analysis related to COVID-19 for general insurance actuaries and the public
Randomly simulate inception and settlement of general insurance losses
Loss Data Analytics is an interactive, online, freely available text. It provides core training on one of the foundations of actuarial science, loss data modeling.
This site provides overheads for the drafts of our Loss Data Analytics chapters.
Provides a Framework for Testing Loss Reserve Methods
Examples of bayesian MCMC loss reserving methods
Sample non-cat exposure model and simulation calculations
hand picked values to test table parsing
An Awesome List of Actuarial Packages and Resources
Experience Analysis Utility Functions
Material for the 2-day block course "Deep Learning with Actuarial Applications in R"
Code accompanying the paper "AI in Actuarial Science"
Python package for actuary to model and analyze simple products or for actuarial students to practice.
Code for the Actuarial Data Science Tutorials published at https://actuarialdatascience.org.
This holds all my personal data-related project's (Automation, Modelling, Analysis)
DeepTriangle: A Deep Learning Approach to Loss Reserving
Functions from the book "Reinsurance: Actuarial and Statistical Aspects"
Dockerfiles with rstan, brms and ChainLadder
A Shiny application for Loss Development Triangle Generator