perfectns: "Perfect" dynamic and standard nested sampling for spherically symmetric likelihoods and priors

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Ada Coda
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perfectns: "Perfect" dynamic and standard nested sampling for spherically symmetric likelihoods and priors

Post by Ada Coda » Sat Sep 29, 2018 10:18 pm

perfectns: "Perfect" dynamic and standard nested sampling for spherically symmetric likelihoods and priors

Abstract: perfectns performs dynamic nested sampling and standard nested sampling for spherically symmetric likelihoods and priors, and analyses the samples produced. The spherical symmetry allows the nested sampling algorithm to be followed “perfectly” - <i>i.e.</i> without implementation-specific errors correlations between samples. It is intended for use in research into the statistical properties of nested sampling, and to provide a benchmark for testing the performance of nested sampling software packages used for practical problems - which rely on numerical techniques to produce approximately uncorrelated samples.

Credit: Higson, Edward

Site: https://perfectns.readthedocs.io/en/latest/
https://ui.adsabs.harvard.edu/#abs/2018MNRAS.478...28C

Bibcode: 2018ascl.soft09005H

Preferred citation method: Please see citation information here: https://perfectns.readthedocs.io/en/latest/#attribution

ID: ascl:1809.005
Last edited by Ada Coda on Thu Jan 09, 2020 8:05 pm, edited 1 time in total.
Reason: Updated code entry.

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