My Senior Thesis: Bayesian Statistics

My thesis investigates financial risk dynamics in Sub-Saharan African economies using Bayesian inference methods. I'm developing R implementations of Hamiltonian Monte Carlo, Bayesian VARs, and Bayesian neural networks to model posterior distributions of risk parameters. This research compares Bayesian approaches with classical machine learning techniques to evaluate predictive performance in contexts where data is limited and uncertainty is high. The work addresses a critical gap: applying sophisticated statistical methods to regions often overlooked in quantitative finance literature, with implications for policy and investment decision-making.