https://github.com/jhrcook/bayesian-analysis-with-python_e2

My notes on "Bayesian Analysis with Python" (edition 2) by Osvaldo Martin.
https://github.com/jhrcook/bayesian-analysis-with-python_e2

bayesian bayesian-analysis bayesian-analysis-with-python bayesian-data-analysis bayesian-data-science bayesian-statistics data-science linear-regression pymc3 python python3

Last synced: 6 months ago
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My notes on "Bayesian Analysis with Python" (edition 2) by Osvaldo Martin.

• Host: GitHub
• URL: https://github.com/jhrcook/bayesian-analysis-with-python_e2
• Owner: jhrcook
• Created: 2020-08-09T16:13:10.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2021-01-08T20:37:40.000Z (over 4 years ago)
• Last Synced: 2025-03-23T22:25:31.916Z (6 months ago)
• Topics: bayesian, bayesian-analysis, bayesian-analysis-with-python, bayesian-data-analysis, bayesian-data-science, bayesian-statistics, data-science, linear-regression, pymc3, python, python3
• Language: Jupyter Notebook
• Homepage: https://www.packtpub.com/big-data-and-business-intelligence/bayesian-analysis-python-second-edition
• Size: 33.8 MB
• Stars: 4
• Watchers: 1
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Notes on *Bayesian Analysis with Python* (2e)

[![python](https://img.shields.io/badge/Python-3.9.1-3776AB.svg?style=flat&logo=python&logoColor=FFDB4D)](https://www.python.org)

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This repository contains by notes on the book [*Bayesian Analysis with Python* (2e)](https://www.packtpub.com/big-data-and-business-intelligence/bayesian-analysis-python-second-edition) by Osvaldo Martin.

I have a good understanding of the basics of Bayesian analysis after working through Richard McElreath's [*Statistical Rethinking*](https://xcelab.net/rm/statistical-rethinking/) (my [notes](https://github.com/jhrcook/statistical-rethinking)), and I want to get more practice using Python and Bayesian analysis techniques.

This book should serve as a strong introduction to the [PyMC3](https://docs.pymc.io) library and provide another perspective on conducting Bayesian data analysis.

## Notes

[Ch 2. Programming Probabilistically](02_programming-probabilistically.md)  

[Ch 3. Modeling with Linear Regression](03_modeling-with-linear-regression.md)  

[Ch 4. Generalized Linear Models](04_generalized-linear-models.md)  

[Ch 5. Model Comparison](05_model-comparison.md)  

[Ch 6. Mixture Models](06_mixture-models.md)  

[Ch 7. Gaussian Processes](07_gaussian-processes.md)  

[Ch 8. Inference Engines](08_inference-engines.md)