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Statistical methods for cosmological parameter selection and estimation
journal contribution
posted on 2023-06-08, 07:52 authored by Andrew LiddleThe 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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Publication status
- Published
Journal
Annual Review of Nuclear and Particle ScienceISSN
0163-8998Publisher
Annual ReviewsVolume
59Page range
95-114Department affiliated with
- Physics and Astronomy Publications
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- No
Peer reviewed?
- Yes
Legacy Posted Date
2012-02-06Usage metrics
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