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Nested sampling for physical scientists
- Source :
- Ashton, G, Bernstein, N, Buchner, J, Chen, X, Csányi, G, Feroz, F, Fowlie, A, Griffiths, M, Habeck, M, Handley, W, Higson, E, Hobson, M, Lasenby, A, Parkinson, D B, Pártay, L B, Pitkin, M, Schneider, D, South, L, Speagle, J, Veitch, J, Wacker, P, Wales, D & Yallup, D 2022, ' Nested Sampling for physical scientists ', Nature Reviews Methods Primers, vol. 2, no. 1, 39 . https://doi.org/10.1038/s43586-022-00121-x
- Publication Year :
- 2022
- Publisher :
- arXiv, 2022.
-
Abstract
- We review Skilling's nested sampling (NS) algorithm for Bayesian inference and more broadly multi-dimensional integration. After recapitulating the principles of NS, we survey developments in implementing efficient NS algorithms in practice in high-dimensions, including methods for sampling from the so-called constrained prior. We outline the ways in which NS may be applied and describe the application of NS in three scientific fields in which the algorithm has proved to be useful: cosmology, gravitational-wave astronomy, and materials science. We close by making recommendations for best practice when using NS and by summarizing potential limitations and optimizations of NS.<br />Comment: 20 pages + supplementary information, 5 figures. preprint version; published version at https://www.nature.com/articles/s43586-022-00121-x
- Subjects :
- stat.CO
Medicine(all)
FOS: Computer and information sciences
Condensed Matter - Materials Science
Cosmology and Nongalactic Astrophysics (astro-ph.CO)
Biochemistry, Genetics and Molecular Biology(all)
Materials Science (cond-mat.mtrl-sci)
FOS: Physical sciences
hep-ph
General Medicine
Statistics - Computation
General Biochemistry, Genetics and Molecular Biology
cond-mat.mtrl-sci
High Energy Physics - Phenomenology
High Energy Physics - Phenomenology (hep-ph)
astro-ph.CO
Astrophysics - Instrumentation and Methods for Astrophysics
QA
Instrumentation and Methods for Astrophysics (astro-ph.IM)
Computation (stat.CO)
Astrophysics - Cosmology and Nongalactic Astrophysics
astro-ph.IM
Subjects
Details
- ISSN :
- 26628449
- Database :
- OpenAIRE
- Journal :
- Ashton, G, Bernstein, N, Buchner, J, Chen, X, Csányi, G, Feroz, F, Fowlie, A, Griffiths, M, Habeck, M, Handley, W, Higson, E, Hobson, M, Lasenby, A, Parkinson, D B, Pártay, L B, Pitkin, M, Schneider, D, South, L, Speagle, J, Veitch, J, Wacker, P, Wales, D & Yallup, D 2022, ' Nested Sampling for physical scientists ', Nature Reviews Methods Primers, vol. 2, no. 1, 39 . https://doi.org/10.1038/s43586-022-00121-x
- Accession number :
- edsair.doi.dedup.....d0f6297e206b1e40bc7d17199f8ce0a6
- Full Text :
- https://doi.org/10.48550/arxiv.2205.15570