Work

Statistical Methods for Cosmological Parameter Selection and Estimation

Year: 2009

Type: review

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.

Source: Annual Review of Nuclear and Particle Science

DOI: 10.1146/annurev.nucl.010909.083706

Author: Andrew R. Liddle

Institution: University of Sussex

Language: English

Topic: Cosmology and Gravitation Theories

Subfield: Astronomy and Astrophysics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: green

Funder: Science and Technology Facilities Council

Award: G7921347250