rkurchin/BPE_lecture

Content for a lecture on Bayesian parameter estimation.

Bayesian Parameter Estimation Guest Lecture -- Prof. Rachel Kurchin

Some other references:

• Bayesim documentation
• SnS paper (featured in slides)
• Bayesim paper
• Fe in Si paper (also featured in slides)

Setup

If you want to run the notebook yourself, you'll need a Python environment with all the packages that get imported. This is relatively simple to achieve with conda using the included environment.yml file:

1. Create the environment by running conda env create -f environment.yml
2. Activate it with conda activate bpe
3. Now create a jupyter kernel using python -m ipykernel install --user --name bpe
4. Now if you open the notebook via jupyter notebook BPE_guest_lecture.ipynb and select the bpe kernel from the dropdown, all the code should (hopefully) run!