Journal
CLASSICAL AND QUANTUM GRAVITY
Volume 18, Issue 14, Pages 2677-2688Publisher
IOP PUBLISHING LTD
DOI: 10.1088/0264-9381/18/14/306
Keywords
-
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available