A nested sampling algorithm for cosmological model selection

Mukherjee, Pia, Parkinson, David and Liddle, Andrew R. (2006) A nested sampling algorithm for cosmological model selection. Astrophysical Journal, 638 2: L51-L54. doi:10.1086/501068

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Author Mukherjee, Pia
Parkinson, David
Liddle, Andrew R.
Title A nested sampling algorithm for cosmological model selection
Journal name Astrophysical Journal   Check publisher's open access policy
ISSN 0004-637X
Publication date 2006-02-01
Sub-type Article (original research)
DOI 10.1086/501068
Open Access Status File (Publisher version)
Volume 638
Issue 2
Start page L51
End page L54
Total pages 4
Place of publication Philadelphia, PA, United States
Publisher Institute of Physics Publishing
Language eng
Formatted abstract
The abundance of cosmological data becoming available means that a wider range of cosmological models are testable than ever before. However, an important distinction must be made between parameter fitting and model selection. While parameter fitting simply determines how well a model fits the data, model selection statistics, such as the Bayesian evidence, are now necessary to choose between these different models, and in particular to assess the need for new parameters. We implement a new evidence algorithm known as nested sampling, which combines accuracy, generality of application, and computational feasibility, and we apply it to some cosmological data sets and models. We find that a five-parameter model with a Harrison-Zel'dovich initial spectrum is currently preferred.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Mathematics and Physics
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Citation counts: TR Web of Science Citation Count  Cited 150 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 158 times in Scopus Article | Citations
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Created: Mon, 28 Feb 2011, 19:46:18 EST