elizavetasemenova / prob-epi

Course materials of "Bayesian Modelling and Probabilistic Programming" with NumPyro, initially created for "AI for Science" MSc at African Institute for Mathematical Sciences (AIMS)

https://elizavetasemenova.github.io/prob-epi

Giving feedback

To correct typos, please make pull requests on GitHub. If these notes ever get published, I will list your name in Acknowledgements.

For more substantial suggestions about the course content, such as desired topics, please use issues.

If you enjoyed and/or learnt from these materials, please leave a star on GitHub and/or cite

@book{semenova24,
  author = {Semenova, Elizaveta},
  title = {Bayesian Modelling and Probabilistic Programming with Numpyro and examples from Epidemiology.},
  year = {2024},
  source = {https://elizavetasemenova.github.io/prob-epi},
  doi = {https://doi.org/10.5281/zenodo.11550659}
}

Conda environment

To run the code examples from the course, the recommended Conda environemnt can be created as follows:

conda create -n aims python=3.9
conda activate aims
conda install -c conda-forge jupyter-book
conda install conda-forge::matplotlib
conda install numpy
conda install conda-forge::ghp-import
conda install conda-forge::numpyro
conda install conda-forge::jax
pip install sphinxcontrib-tikz
conda install conda-forge::geopandas
conda install conda-forge::arviz
conda install anaconda::seaborn
pip install pyppeteer