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Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

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Currently the maximum number of effective samples `n_effective` in `Sampler.sample()` defaults to `np.inf`, implying no limit, yet `self.n_effective` is still computed (and then compared with `np.inf`), which takes time. The...

**Describe the bug** I recently upgraded my laptop and moved from dynesty 0.9.5.3 to 1.2.3. I'm finding different results using dynesty on the same data after the change---in particular, some...

This is issue is track/discuss the development of functionality that would allow an easier restarting of the dynesty sampler in ther case of the crash (timeout in HPC environment). (see...

help wanted
new feature

Over last few days I was trying to debug the issue in sampling slowing down to a crawl, and it was happening with all the samples sitting exactly at the...

enhancement
help wanted
not a bug
small fix

This is the issue to discuss the way of saving the quantities derived during the likelihood function evaluations. Sometimes the likelihood function does some heavy calculations and compute some derived...

help wanted
new feature

This PR adds a new option that allows the length of the MCMC exploration for the `rwalk` method to vary during the analysis such that a target number of proposed...

This PR adds a bunch of different methods for proposing points with the `rwalk` sampling. These are a combination of different scale distributions for the existing method and ensemble moves....

Hi, I am looking at the results of the sampling of my complicated problem (with results different from multinest gives me) and I was looking at diagnosing what's going on,...

question
unclear

Hi Josh, This is definitely not a bug, but just some thoughts on a sampling issues I had recently. The problem that I've been struggling over last few months features...

enhancement

- Adds two new tuning parameters to the rwalk and rstagger methods: maxmcmc and nact - maxmcmc controls the maximum number of steps - nact controls the number of autocorrelation...

enhancement