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.

References in zbMATH (referenced in 12 articles )

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  1. Braglia, Matteo; Chen, Xingang; Hazra, Dhiraj Kumar: Comparing multi-field primordial feature models with the Planck data (2021)
  2. Johannes Buchner: UltraNest - a robust, general purpose Bayesian inference engine (2021) not zbMATH
  3. Hogg, N. B.; Martinelli, M.; Nesseris, S.: Constraints on the distance duality relation with standard sirens (2020)
  4. Joshua G. Albert: JAXNS: a high-performance nested sampling package based on JAX (2020) arXiv
  5. Cedeño, Francisco X. Linares; Montiel, Ariadna; Hidalgo, Juan Carlos; German, Gabriel: Bayesian evidence for (\alpha)-attractor dark energy models (2019)
  6. Chen, Xi; Hobson, Michael; Das, Saptarshi; Gelderblom, Paul: Improving the efficiency and robustness of nested sampling using posterior repartitioning (2019)
  7. Higson, Edward; Handley, Will; Hobson, Michael; Lasenby, Anthony: Dynamic nested sampling: an improved algorithm for parameter estimation and evidence calculation (2019)
  8. Joshua S Speagle: dynesty: A Dynamic Nested Sampling Package for Estimating Bayesian Posteriors and Evidences (2019) arXiv
  9. Brendon Brewer; Daniel Foreman-Mackey: DNest4: Diffusive Nested Sampling in C++ and Python (2018) not zbMATH
  10. Edward Higson: dyPolyChord: dynamic nested sampling with PolyChord (2018) not zbMATH
  11. Edward Higson, Will Handley, Mike Hobson, Anthony Lasenby: nestcheck: diagnostic tests for nested sampling calculations (2018) arXiv
  12. Higson, Edward; Handley, Will; Hobson, Mike; Lasenby, Anthony: Sampling errors in nested sampling parameter estimation (2018)