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Bayesian model selection without evidences: Application to the dark energy equation-of-state

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  • Additional Information
    • Publisher Information:
      Oxford University Press http://dx.doi.org/10.1093/mnras/stv2217 Monthly Notices of the Royal Astronomical Society 2017-09-08T16:47:02Z 2017-09-08T16:47:02Z 2016-01-21
    • Abstract:
      This work was performed using the Darwin Supercomputer of the University of Cambridge High Performance Computing Service (http://www.hpc.cam.ac.uk/), provided by Dell Inc. using Strategic Research Infrastructure Funding from the Higher Education Funding Council for England and funding from the Science and Technology Facilities Council. Parts of this work were undertaken on the COSMOS Shared Memory system at DAMTP, University of Cambridge operated on behalf of the STFC DiRAC HPC Facility, this equipment is funded by BIS National E-infrastructure capital grant ST/J005673/1 and STFC grants ST/H008586/1, ST/K00333X/1. SH and WH thank STFC for financial support.
    • Subject Terms:
      equation of state; methods: data analysis; methods: statistical; cosmological parameters; dark energy; Article
    • Availability:
      Open access content. Open access content
    • Note:
      application/pdf
      English
    • Other Numbers:
      HS1 oai:www.repository.cam.ac.uk:1810/267111
      10.17863/CAM.13127
      1488463532
    • Contributing Source:
      UNIV OF CAMBRIDGE
      From OAIster®, provided by the OCLC Cooperative.
    • Accession Number:
      edsoai.on1488463532
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