pymc-labs / pymc-labs/CausalPy
SC: check sensitivity to prior
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geo project
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Description
For Bayesian synthetic control:
- How does the prior impact sampling problems?
- How does the prior impact the posterior estimates?
[similar to #45]
Do this after #22
Tagging @juanitorduz
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.
Research direction
Start by reading issue #22 and the similar issue #45, then examine the Bayesian synthetic control implementation in CausalPy. Determine how prior choices affect sampling problems and posterior estimates, and document a clear sensitivity-analysis result or implementation scope.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- analytics
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100