In GitLab by @git.ligo:matthew-pitkin on Jul 14, 2020, 10:30
If working with the outputs of nested sampling code and we have the weights stored in the Result object we should allow the plot_corner function to use all the nested samples, but with weights applied (as is done in dynesty and ultranest). This will reduce the sampling noise especially in the wings of the posteriors. We should also look at the dynesty quantile function, which will use the weights to work out quantiles, which again should reduce the random noise on the values.
In GitLab by @git.ligo:matthew-pitkin on Jul 14, 2020, 10:30
If working with the outputs of nested sampling code and we have the weights stored in the
Resultobject we should allow theplot_cornerfunction to use all the nested samples, but with weights applied (as is done in dynesty and ultranest). This will reduce the sampling noise especially in the wings of the posteriors. We should also look at the dynesty quantile function, which will use the weights to work out quantiles, which again should reduce the random noise on the values.