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!