Liddle, Andrew (2009) Statistical methods for cosmological parameter selection and estimation. Annual Review of Nuclear and Particle Science, 59. pp. 95-114. ISSN 0163-8998

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Abstract

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.

Item Type:	Article
Schools and Departments:	School of Mathematical and Physical Sciences > Physics and Astronomy
Subjects:	Q Science > QC Physics
Depositing User:	Andrew Liddle
Date Deposited:	06 Feb 2012 20:48
Last Modified:	23 Jul 2012 09:50
URI:	http://srodev.sussex.ac.uk/id/eprint/28194

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