pymc-devs / pymc-devs/pymc-examples
Bayesian hypothesis testing using the Savage–Dickey method
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@drbenvincent is already working on this.
Since Jun 1, 2022.
proposal
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- Python
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Description
Notebook proposal
Title: Bayesian hypothesis testing using the Savage–Dickey method
Why should this notebook be added to pymc-examples?
We currently have nothing on Bayesian hypothesis testing. I propose providing a brief explainer / how-to notebook on doing this. The most obvious thing to do is to present some or all of the core examples from Wagenmakers et al (2010).
Suggested categories:
- Level: Intermediate
- Diataxis type: explanation and how-to
Related notebooks
The only related notebook would be this https://www.pymc.io/projects/examples/en/latest/diagnostics_and_criticism/Bayes_factor.html on Bayes Factors.
References
- Episode 61 of the LBS podcast from @AlexAndorra
- Wagenmakers, E. J., Lodewyckx, T., Kuriyal, H., & Grasman, R. (2010). Bayesian hypothesis testing for psychologists: A tutorial on the Savage–Dickey method. Cognitive psychology, 60(3), 158-189. https://core.ac.uk/download/pdf/34478861.pdf
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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