dynesty
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Dynamic Nested Sampling package for computing Bayesian posteriors and evidences
Starting implementation of #368 The function can now return an additional blob The tests should pass, but the additional info is not saved yet. early feedback welcome
While consider PR's like #365, #366 I come to think that the best architecture is to have a class interface that is responsible provide new samples. I.e. RSlice, RWalk and...
Hi all! I do have a doubt about how to plot the results after sampling. Let's suppose I would like to fit a linear relation. After the sampling, I have...
** Dynesty version ** Dynesty 2.1.2; pip install ** Your question ** Hello. I am testing the consistency of the results of dynesty for a case of "blind" Bayesian inference...
This is a preliminary version of patch that enables parallel uniform sampling. The idea is to get away from this propose/evolve for uniform distributions where evolve doesn't really do anything...
### Reference issue Motivated by discussion #365 and #366 ### What does you PR implement/fix ? Hi @segasai, first of all I'm sorry for my extended absence on #365 and...
This is an open-ended question. Often there are situations when there is a known Maximum likelihood or MAP point, but one is still interested in sampling the posterior around it....
I am thinking about potential improvement of how dynesty deals with periodic parameters. Currently the periodicity is ignored when ellipsoid bounds are constructed, which will lead to modes being split...
In #428 I've refactored the boundary update rules, but it's not 100% clear if everything there is optimal. First, the boundary updates is something that's mildly important for non-uniform sampling,...
This is an issue to track/discuss ways of tracking dynesty performance vs time to avoid issues. I've wrote a quick script to produce timings of test vs time. And here's...