II: Bayesian Methods for Cosmological Parameter Estimation from Cosmic Microwave Background Measurements

Details II: Bayesian Methods for Cosmological Parameter Estimation from Cosmic Microwave Background Measurements II: Bayesian Methods for Cosmological Parameter Estimation from Cosmic Microwave Background Measurements

2001-03-08

arxiv.org/abs/astro-ph/0103134v1

Class.Quant.Grav. 18 (2001) 2677

Astronomy and Astrophysics

Astrophysics

This paper expands on the work presented in astro-ph/0006401, and now includes a test of the method. 15 pages, 1 figure

Scientific paper

10.1088/0264-9381/18/14/306

We present a strategy for a statistically rigorous Bayesian approach to the problem of determining cosmological parameters from the results of observations of anisotropies in the cosmic microwave background. Our strategy relies on Markov chain Monte Carlo methods, specifically the Metropolis-Hastings algorithm, to perform the necessary high-dimensional integrals. We describe the Metropolis-Hastings algorithm in detail and discuss the results of our test on simulated data.

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