Analyze life claims experience data using Bayesian Markov-Chain-Monte-Carlo (MCMC) techniques.
The image above shows a Pluto.jl notebook which shows how to calculate posterior parameters for mortality rates.
Assuming that you already have Julia installed but still need to install Pluto notebooks:
Open a Julia REPL and copy and paste the following:
# install these dependencies
import Pkg; Pkg.add(["Pluto"])
# use and start Pluto
using Pluto; Pluto.run()
In the Pluto window that opens, enter this URL into the Open from file:
box:
https://raw.githubusercontent.com/JuliaActuary/Learn/master/Bayesian%20Mortality%20Experience.jl