Comments (4)
I am not sure I see what problem specifically that would solve, so I'm not enthusiastic in the outset.
If you want to sample a tiny volume around the maximum you can always specify the prior be around it.
from dynesty.
Thanks, the point is not to sample around the maximum; rather: can knowledge of the MLE help the sampler? If so, how can we provide this to the sampler?
from dynesty.
In the way the current sampler is written, there is no way to use that information . I.e. all the decisions for the sampler are based on the current set of live-points.
It is certainly possible to provide the MLE point as one of the initial set, but that will break the assumptions of the sampler (that points are sampled from the prior).
I was considering in the past the possibility of using all the likelihood evaluation locations (i.e. even rejected points to decide on ellipsoidal bounds), but I never implemented it.
from dynesty.
Ah, from optimization at least, there would be many points in addition to the MLE that could be supplied.
Anyway, thanks for your answer!
from dynesty.
Related Issues (20)
- Recover partial chains from the dynesty.save checkpoint file
- An issue about dynesty posterior HOT 6
- live point's likelihood not valid HOT 6
- Documentation incorrect for Pool helper object HOT 1
- Importing Nested Sampling chains from file to plot HOT 2
- Using dynesty with npdim HOT 8
- Questions about dyplot.cornerplot HOT 4
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- Periodic parameters improvement by rotating them
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- tqdm example HOT 4
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- Loglstar and logZ values HOT 1
- Importance weight PDF shape HOT 4
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- Doubt on sampling methods HOT 6
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- blob issues when add_live HOT 4
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from dynesty.