sciProject

This repository contains code that animates the performance of two common Monte-Carlo Markov Chain (MCMC) methods: Random Walk Metropolis and Adaptive Covariance MC, on bivariate normal distributions.

Setup

Create a git repository in your local repository

git init

Clone this repository

git clone https://github.com/EngEmmanuel/sciProject

Install all necessary packages automatically using conda

conda env create -f environment.yaml

If you do not have conda, you can manually install the packages using pip

View animation

Run play.py

python play.py

Run animation.py

python animation.py