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Cited by 164

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Bayesian methods for cosmological parameter estimation from cosmic microwave background measurements

Open access
Christensen, Nelson, Meyer, Renate, Knox, Lloyd, Luey, Ben·2001·Classical and Quantum Gravity

Abstract

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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Metadata

Authors
Christensen, N., Meyer, R., Knox, L., & Luey, B.
Venue
Classical and Quantum Gravity
Published
2001-06-29
Volume
18
Issue
14
Pages
2677-2688
ISSN
  • 0264-9381 (ISSN-L)
  • 1361-6382
OpenAlex
W1995697528
Cited by
164
References
2
FWCI
7.53
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Bayesian methods for cosmological parameter estimation from cosmic microwave background measurements. https://app.cochat.ai/papers/10.1088/0264-9381/18/14/306
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Christensen, N., Meyer, R., Knox, L., & Luey, B. (2001). Bayesian methods for cosmological parameter estimation from cosmic microwave background measurements. Classical and Quantum Gravity. https://doi.org/10.1088/0264-9381/18/14/306

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