Bayesian methods for cosmological parameter estimation from cosmic microwave background measurements

被引：163

作者：

Christensen, N ^{[1
]}

Meyer, R

Knox, L

Luey, B

机构：

[1] Carleton Coll, Northfield, MN 55057 USA

[2] Univ Auckland, Dept Stat, Auckland 1, New Zealand

[3] Univ Calif Davis, Dept Phys, Davis, CA 95616 USA

来源：

CLASSICAL AND QUANTUM GRAVITY | 2001年 / 18卷 / 14期

关键词：

D O I：

10.1088/0264-9381/18/14/306

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

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.

引用

页码：2677 / 2688

页数：12

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