Statistical methods for cosmological parameter selection and estimation
High Energy Physics - Theory
2009-12-15 v1 Cosmology and Nongalactic Astrophysics
High Energy Physics - Phenomenology
Data Analysis, Statistics and Probability
Applications
Abstract
The estimation of cosmological parameters from precision observables is an important industry with crucial ramifications for particle physics. This article discusses the statistical methods presently used in cosmological data analysis, highlighting the main assumptions and uncertainties. The topics covered are parameter estimation, model selection, multi-model inference, and experimental design, all primarily from a Bayesian perspective.
Cite
@article{arxiv.0903.4210,
title = {Statistical methods for cosmological parameter selection and estimation},
author = {Andrew R Liddle},
journal= {arXiv preprint arXiv:0903.4210},
year = {2009}
}
Comments
18 pages, 3 figures. To appear, Annual Reviews of Nuclear and Particle Science (ARNPS), vol 59