joshspeagle / dynesty

Dynamic Nested Sampling package for computing Bayesian posteriors and evidences
https://dynesty.readthedocs.io/
MIT License
346 stars 76 forks source link

Put a warning if bootstrap enlarge factors are large #441

Closed segasai closed 1 year ago

segasai commented 1 year ago

The issue #440 may have many causes, but one thing that is probably worth taking a note from there is that if uniform bounding is used and a bootstrap enlarge factor is large, that will lead to potentially very slow sampling. And I think we should put a warning in that case, as that's likely the case where ellipsoidal bounds are just not a good approximation to the L>L* volume.

I don't know the exact thresholds, but I'm suspecting that something like enlarge_factor^ndim > 10 would make sense. I also don't know how likely those thresholds are to be breached.

segasai commented 1 year ago

This has been fixed in #443