Should pyrenew's default MCMC sampler backend be numpyro's bundled NUTS sampler?
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- Python
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Description
Or should the standard pattern be to specify the model in numpyro but pass it off to bayeux or blackjax etc for inference?
@CDCgov/pyrenew-devs
See also #361 #151
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- Read the whole issue, then the project's contributing guide.
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Research direction
Start by reading the discussion in issues #361 and #151, then compare the tradeoffs of NumPyro's bundled NUTS sampler with handing inference to Bayeux or BlackJAX. The issue does not name files, tests, or a concrete acceptance criterion; done would require an agreed default backend and an explicitly documented decision.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100