Statistical methods for cosmological parameter selection and estimation

Understand

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.