arviz-devs / arviz-devs/preliz
Add commonly used priors over PSD matrices
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- Dominant language
- Python
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Description
## Tell us about it
I'm thinking specifically about LKJCholeskyCov and/or LKJCholeskyCorr, but also Wishart/InverseWishart.
- [ ] LKJCholeskyCov
- [ ] LKJCorr
- [x] Wishart
I use these often enough but don't have strong intuitions about them. Would be very handy to be able to explore these. For example, I have read that the marginals of the LKJ priors are quite sensitive to the `eta` parameter, although the joint is not. These are the types of questions I look to preliz for help.
## Thoughts on implementation
Happy to open a PR to help, let me know i these are in-scope for the project.
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