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Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

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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...

enhancement

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...

question

** 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...

question

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....

help wanted
question

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...

enhancement
help wanted
question

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,...

enhancement
help wanted
question

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...

enhancement
help wanted