Adolphus Lye's Projects
A repository of tutorials demonstrating the implementation of the Affine Invariant Ensemble Sampler.
Repository on Approximate Bayesian Computation and the different distance metrics which can be implemented.
Tutorials and examples of advanced sampling methods for solving Bayesian Model Updating Problems
Repository to the notes and relevant codes from previous lectures and talks.
An open repository to the codes illustrating my running data/performance for the annual Movember campaign as well as relevant articles which I authored.
Project PROMAP (acronym for Probabilistic Prediction of Material Properties) is a feasibility study which seeks to merge Artificial Intelligence (AI) tools with Bayesian statistics to yield probabilistic estimates of target features under scarse data/information. The context of this study is with regards to the following Nuclear material properties: 1) Creep rupture; and 2) Tensile properties. This repository contains the MATLAB codes required to perform such analysis.
A repository containing MATLAB codes to numerical/experimental examples which demonstrate the implementation of the Sequential Ensemble Monte Carlo sampler.
Repository to tutorials on the implementation of the Transitional Ensemble Markov Chain Monte Carlo (TEMCMC) sampler for Bayesian Model Updating.