https://github.com/aloctavodia/bap3

Figures and code examples from Bayesian Analysis with Python (third edition)
https://github.com/aloctavodia/bap3

Last synced: 17 days ago
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Figures and code examples from Bayesian Analysis with Python (third edition)

• Host: GitHub
• URL: https://github.com/aloctavodia/bap3
• Owner: aloctavodia
• Created: 2023-03-18T22:53:37.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-08-19T18:30:29.000Z (3 months ago)
• Last Synced: 2024-10-14T20:43:39.271Z (29 days ago)
• Language: Jupyter Notebook
• Homepage: http://bap.com.ar/
• Size: 263 MB
• Stars: 144
• Watchers: 6
• Forks: 42
• Open Issues: 4
• Metadata Files:
  • Readme: README.md

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README

        
# Bayesian Analysis with Python (Third Edition)



  




  



This repository contains the code examples from the book

## See a mistake?

If you see any issues not listed on the [Errata](errata.md) please create an issue on [the issue tracker](https://github.com/aloctavodia/BAP3/issues)

## Environment installation

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

```

conda env create -f bap3.yml

conda activate bap3

```

### pip

```

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

```

### Citation

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},

}

```

### Donation

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](https://numfocus.org/donate-to-arviz) or [PyMC](https://numfocus.org/donate-to-pymc). 

If instead, you want to donate directly to me, the author, please do it at [ko-fi](https://ko-fi.com/aloctavodia)