Adolphus Lye's repositories
Bayesian-Model-Updating-Tutorials
Tutorials and examples of advanced sampling methods for solving Bayesian Model Updating Problems
Transitional_Ensemble_MCMC
Repository to tutorials on the implementation of the Transitional Ensemble Markov Chain Monte Carlo (TEMCMC) sampler for Bayesian Model Updating.
Affine-Invariant-Ensemble-Sampler-Tutorials
A repository of tutorials demonstrating the implementation of the Affine Invariant Ensemble Sampler.
Lecture_Resources
Repository to the notes and relevant codes from previous lectures and talks.
Project_PROMAP
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.
Approximate_Bayesian_Computation
Repository on Approximate Bayesian Computation and the different distance metrics which can be implemented.
Sequential_Ensemble_Monte_Carlo
A repository containing MATLAB codes to numerical/experimental examples which demonstrate the implementation of the Sequential Ensemble Monte Carlo sampler.