Bayesian model selection for Oxidation Kinetics modelling \ Install requirements in a python enviroment using pip install -r requirements.txt

Milestones completed: 6/2/2022

• Implemented Inference for diferent models
• Posterior Predictive plots for every model
• Results in the IPython Notebook!
• Compute BIC and logLikelihood for every model
• Estimate ELPD using WAIC and compare each model
• Extend the analysis to the whole dataset \ --19/2/2022
• Added Paralinear model to the model selection framework (taken from Paralinear Oxidation of Cr-Si-C-Coated C/SiC at 1300�C in Wet and Dry Air Environments WU2019)
• Spline regression implemented (https://docs.pymc.io/projects/examples/en/latest/splines/spline.html)
• Added spline regression to the model selection framework
• Data sanitation/normalizing done!