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Highlights
Actuarial
[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis
This repository holds the code and stan files for the creation of an example Stan case study on modelling loss curves in Insurance.
These are the codes behind the paper "A Bayesian internal model for reserve risk: an extension of the correlated Chain Ladder" published on MDPI Risks.
Package of probability functions, originally created for the Distributacalcul webapp
R functions to calculate different VaR and TVaR of principal probability distribution
Class library for actuarial claims reserving and tariff rating for non-life insurances
A basic implementation for the maximum likelihood estimators of a gamma distribution's parameters.
Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈
💹 A fundamental equity risk model that decomposes the risk of a portfolio by factors and individual securities
Classification of reserve risk with chain-ladder
Implementation of backward elimination algorithm used for dimensionality reduction for improving the performance of risk calculation in life insurance industry.
An open-source Python-based catastrophe data transformation - converts exposure data between OED and other data formats.
Simple code written in R to calculate risk using the factor analysis of information risk (FAIR) methodology. Uses PERT distributions for the monte carlo simulations.
Common functions in actuarial and financial routines
Easily Reference and use Actuarial Mortality Tables
Course material for a workshop on loss modelling, reserving and insurance fraud analytics
Adventures in research at the intersection of insurance and AI
An R package, plumber API, database, and Shiny App for Actuarial Loss Development and Reserving Workflows.
Python package to solve actuarial life-contingent risks
Data mining and machine learning libraries are used in this machine learning project to detect the fraud. More importantly, this report focuses on vehicle insurance company claim statistics to use …
All Python algorithms published by Open Source Modelling in one place.
A handy tool for actuarial modeling, which is designed to achieve both accuracy and accountability.