This is the final project for my Modern Computational Statistics class. I picked my own mathematical form of model based on the CO2 data and the preliminary visualization given by the professor and tried to optimize it with Bayesian methods. I discussed the preprocessing of data, the likelihood model, the factor graph representing the model, prior distribution, the convergence of the Rstan algorithm, and the prediction of CO2 in 2058.
You can access the project writeup here
A few of the visual outcomes are displayed here as hooks:
