polychord

PolyChord is a Bayesian inference tool for the simultaneous calculation of evidences and sampling of posterior distributions. It is a variation of John Skilling’s Nested Sampling, utilising Slice Sampling to generate new live points. PolyChord is the natural successor to MultiNest. It performs well on moderately high dimensional ( 100s D) posterior distributions, and can cope with arbitrary degeneracies and multimodality.

Keywords for this software

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References in zbMATH (referenced in 7 articles )

Showing results 1 to 7 of 7.
Sorted by year (citations)

  1. Chen, Xi; Hobson, Michael; Das, Saptarshi; Gelderblom, Paul: Improving the efficiency and robustness of nested sampling using posterior repartitioning (2019)
  2. Higson, Edward; Handley, Will; Hobson, Michael; Lasenby, Anthony: Dynamic nested sampling: an improved algorithm for parameter estimation and evidence calculation (2019)
  3. Joshua S Speagle: dynesty: A Dynamic Nested Sampling Package for Estimating Bayesian Posteriors and Evidences (2019) arXiv
  4. Brendon Brewer; Daniel Foreman-Mackey: DNest4: Diffusive Nested Sampling in C++ and Python (2018) not zbMATH
  5. Edward Higson: dyPolyChord: dynamic nested sampling with PolyChord (2018) not zbMATH
  6. Edward Higson, Will Handley, Mike Hobson, Anthony Lasenby: nestcheck: diagnostic tests for nested sampling calculations (2018) arXiv
  7. Higson, Edward; Handley, Will; Hobson, Mike; Lasenby, Anthony: Sampling errors in nested sampling parameter estimation (2018)