• Login
    View Item 
    •   DSpace Home
    • Học liệu mở OER
    • Education
    • View Item
    •   DSpace Home
    • Học liệu mở OER
    • Education
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    An efficient interpolation technique for jump proposals in reversible jump Markov chain Monte Carlo calculations

    Thumbnail
    View/Open
    0139_Anefficientinterpolationtechnique.pdf (1.626Mb)
    Date
    2015
    Author
    Farr, W. M.
    Mandel, I.
    Stevens, D.
    Metadata
    Show full item record
    Abstract
    Selection among alternative theoretical models given an observed dataset is an important challenge in many areas of physics and astronomy. Reversible-jump Markov chain Monte Carlo (RJMCMC) is an extremely powerful technique for performing Bayesian model selection, but it suffers from a fundamental difficulty and it requires jumps between model parameter spaces, but cannot efficiently explore both parameter spaces at once.
    URI
    https://lib.hpu.edu.vn/handle/123456789/21760
    Collections
    • Education [806]

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV
     

     

    Browse

    All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsBy Submit DateThis CollectionBy Issue DateAuthorsTitlesSubjectsBy Submit Date

    My Account

    LoginRegister

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV