This project allows me to implement different Bayesian modelling techniques I have seen through class and my own research. In addition, I hope it serves as educational material for others. I have found that the best way to learn is through practice, and so this project is expected to help me master the material I need to undertake my research projects.
The notes and examples I share will be heavily based on work I found on the following pages:
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https://vioshyvo.github.io/Bayesian_inference/index.html{.uri}
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https://matheusfacure.github.io/python-causality-handbook/landing-page.html
Links to the different notebooks I make will be stored here:
- Add citations to each topic
- Dirichlet Processes
- Variational Inference
- GLMs