pymc-devs / pymc-devs/pymc-examples
Missing lambdas in Case Study 1 of Introductory Overview of PyMC
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Description
Introductory Overview of PyMC:
https://www.pymc.io/projects/docs/en/latest/learn/core_notebooks/pymc_overview.html:
Issue description
In the Model of Case Study 1 the local shrinkage prior $\tilde\lambda^2_i$ is specified as
$\tilde \lambda^2_i = \frac{c^2*\lambda^2_i}{c^2 + \tau^2*\lambda^2_i}$. However in the pymc model "test_score_model", more precisely in the specification of the beta parameters, the $\lambda^2_i$ dissapears from the numerator, see at.sqrt(c2 / (c2 + tau**2 * lam**2)).
I dont know if i missing something.
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First steps
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Research direction
Open the Introductory Overview of PyMC notebook at the linked URL and locate Case Study 1, especially the test_score_model beta-parameter specification. Compare the implemented expression with the stated local shrinkage prior and review the surrounding model derivation. Done means the notebook consistently represents the intended formula, or clearly explains why the implementation differs.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, python
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100