Inferring Evidence from Nested Sampling Data via Information Field Theory-Reference-Cited by-同舟云学术

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Inferring Evidence from Nested Sampling Data via Information Field Theory

Published:2023-12-13 Issue: Volume: Page:
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Container-title:The 42nd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering
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Author:

Westerkamp Margret¹²,Roth Jakob¹²³^ORCID,Frank Philipp¹^ORCID,Handley Will⁴⁵^ORCID,Enßlin Torsten¹²^ORCID

Affiliation:

1. Max Planck Institute for Astrophysics, 85748 Garching, Germany

2. Faculty for Physics, Ludwig-Maximilians-Universität, 80539 Munich, Germany

3. Department for Computer Science, Technical University Munich, 85748 Munich, Germany

4. Astrophysics Group, Cavendish Laboratory, J. J. Thomson Avenue, Cambridge CB3 0HE, UK

5. Kavli Institute for Cosmology, Madingley Road, Cambridge CB3 0EZ, UK

Publisher

MDPI

Link

https://www.mdpi.com/2673-9984/9/1/19/pdf

Reference20 articles.

1. Nested sampling for general Bayesian computation;Skilling;Bayesian Anal.,2006

2. polychord: Next-generation nested sampling;Handley;Mon. Not. R. Astron. Soc.,2015

3. dynesty: A dynamic nested sampling package for estimating Bayesian posteriors and evidences;Speagle;Mon. Not. R. Astron. Soc.,2020

4. Dynamic nested sampling: An improved algorithm for parameter estimation and evidence calculation;Higson;Stat. Comput.,2018

5. On statistical uncertainty in nested sampling;Keeton;Mon. Not. R. Astron. Soc.,2011

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