Journal
ANNUAL REVIEW OF NUCLEAR AND PARTICLE SCIENCE
Volume 59, Issue -, Pages 95-114Publisher
ANNUAL REVIEWS
DOI: 10.1146/annurev.nucl.010909.083706
Keywords
cosmology; data analysis; Bayesian methods; model selection
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Funding
- U.K. Science and Technology Facilities Council
- STFC [ST/F002858/1] Funding Source: UKRI
- Science and Technology Facilities Council [ST/F002858/1] Funding Source: researchfish
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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.
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