期刊
ANNUAL REVIEW OF NUCLEAR AND PARTICLE SCIENCE
卷 59, 期 -, 页码 95-114出版社
ANNUAL REVIEWS
DOI: 10.1146/annurev.nucl.010909.083706
关键词
cosmology; data analysis; Bayesian methods; model selection
资金
- 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
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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