https://github.com/ssoudan/bayesian-regression-101

Tutorial on Bayesian regression
https://github.com/ssoudan/bayesian-regression-101

bayesian-inference nuts rust tutorial

Last synced: 6 days ago
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Tutorial on Bayesian regression

• Host: GitHub
• URL: https://github.com/ssoudan/bayesian-regression-101
• Owner: ssoudan
• License: apache-2.0
• Created: 2023-11-07T23:06:41.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-04-22T08:06:39.000Z (9 months ago)
• Last Synced: 2024-04-22T09:29:08.298Z (9 months ago)
• Topics: bayesian-inference, nuts, rust, tutorial
• Language: Jupyter Notebook
• Homepage:
• Size: 579 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • Contributing: docs/CONTRIBUTING.md
  • License: LICENSE-APACHE
  • Code of conduct: docs/CODE_OF_CONDUCT.md

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# bayesian-regression-101

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# Description

Experimentation with Bayesian regression and different sampling methods: Rejection sampling, Importance sampling, Metropolis-Hastings, and No-U-Turn Sampler (this one is from [pymc-devs/nuts-rs](https://github.com/pymc-devs/nuts-rs)).

See [notebooks/something.ipynb](notebooks/something.ipynb) for a demo.

## License

Licensed under either of

- Apache License, Version 2.0

  ([LICENSE-APACHE](LICENSE-APACHE) or http://www.apache.org/licenses/LICENSE-2.0)

- MIT license

  ([LICENSE-MIT](LICENSE-MIT) or http://opensource.org/licenses/MIT)

at your option.

## Contribution

Unless you explicitly state otherwise, any contribution intentionally submitted

for inclusion in the work by you, as defined in the Apache-2.0 license, shall be

dual licensed as above, without any additional terms or conditions.

See [CONTRIBUTING.md](docs/CONTRIBUTING.md).