Add Stan vs PyMC Rosetta Stone notebook (refs #7771)#8090
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mikjkd wants to merge 2 commits intopymc-devs:mainfrom
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Add Stan vs PyMC Rosetta Stone notebook (refs #7771)#8090mikjkd wants to merge 2 commits intopymc-devs:mainfrom
mikjkd wants to merge 2 commits intopymc-devs:mainfrom
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Integrate notebook by Ricardo Vieira comparing how models are defined in PyMC and Stan, covering syntax differences, parameter handling, forward draws, and the one-parameter-one-distribution assumption. (refs pymc-devs#7771)
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Pull request overview
This PR integrates a "Rosetta Stone" notebook that compares how statistical models are defined in PyMC versus Stan. The notebook provides a detailed pedagogical comparison covering syntax differences, parameterization approaches, forward sampling/prior predictive methods, and the fundamental "one-parameter-one-distribution" design philosophy that distinguishes PyMC from Stan.
Changes:
- Adds a comprehensive Jupyter notebook explaining PyMC and Stan differences through worked examples
- Updates the Learn documentation index to include the new notebook
- Provides practical examples of translating models between the two frameworks
Reviewed changes
Copilot reviewed 2 out of 2 changed files in this pull request and generated 6 comments.
| File | Description |
|---|---|
| docs/source/learn/core_notebooks/rosetta_stone_pymc_stan.ipynb | New notebook with detailed PyMC vs Stan comparison including syntax, distributions, transforms, and practical examples |
| docs/source/learn/core_notebooks/index.md | Updated table of contents to include the new rosetta_stone_pymc_stan notebook |
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Integrate the “Rosetta Stone” notebook by Ricardo Vieira comparing how models are defined in PyMC and Stan. The notebook focuses on syntax differences, parameterization, forward draws / prior predictive, and the “one-parameter-one-distribution” assumption.
Closes #7771
Description
This PR:
docs/source/learn/core_notebooks/rosetta_stone_pymc_stan.ipynbdocs/source/learn/index.mdto include the notebook in the Learn docs navigationRelated Issue
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Type of change