This repository contains the code examples from the book
If you see any issues please create an issue on the issue tracker
To run the code you will need to install the correct packages in a computational environment. We have provided instructions below for common options.
conda env create -f bap3.yml
conda activate bap3
pip install pymc==5.8.0 arviz==0.16.1 bambi==0.13.0 pymc-bart==0.5.2 kulprit==0.0.1 preliz[full,notebook]==0.3.6 nutpie==0.9.1
If you use this book in your own work, please cite it using
Martin Osvaldo A, Bayesian Analysis with Python. Packt Publishing. 2024. ISBN 978-1-80512-716-1
Here is the citation in BibTeX format
@book{martin_bap_2024,
title = {Bayesian {Analysis} with {Python}: {A} {Practical} {Guide} to probabilistic modeling, 3rd {Edition}},
isbn = {978-1-80512-716-1},
shorttitle = {Bayesian {Analysis} with {Python}},
language = {English},
publisher = {Packt Publishing},
author = {Martin, Osvaldo A},
month = feb,
year = {2024},
}
This book is only possible because of open-source contributors working on the projects we used. If you like this book we encourage you to donate to ArviZ or PyMC.
If instead, you want to donate directly to me, the author, please do it at ko-fi