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Statistical methods for cosmological parameter selection and estimation

journal contribution
posted on 2023-06-08, 07:52 authored by Andrew Liddle
The estimation of cosmological parameters from precision observables is an important industry with crucial ramifications for particle physics. In this article, I discuss the statistical methods presently used in cosmological data analysis, highlighting the main assumptions and uncertainties. The topics covered are parameter estimation, model selection, multimodel inference, and experimental design, all primarily from a Bayesian perspective.

History

Publication status

  • Published

Journal

Annual Review of Nuclear and Particle Science

ISSN

0163-8998

Publisher

Annual Reviews

Volume

59

Page range

95-114

Department affiliated with

  • Physics and Astronomy Publications

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2012-02-06

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