• DocumentCode
    2053813
  • Title

    Consistent estimation of the basic neighborhood of Markov random fields

  • Author

    Csiszár, Imre ; Talata, Zsolt

  • Author_Institution
    A. Renyi Inst. of Math., Hungarian Acad. of Sci., Hungary
  • fYear
    2004
  • fDate
    27 June-2 July 2004
  • Firstpage
    170
  • Abstract
    For Markov random fields with finite set of states, a modification of the Bayesian information criterion admits strongly consistent estimation of the smallest region that determines the conditional distributions. Phase transition or nonstationarity do not affect the result.
  • Keywords
    Bayes methods; Markov processes; maximum likelihood estimation; Bayesian information criterion; Markov random field; conditional distribution; consistent estimation; phase transition; Bayesian methods; Markov random fields; Mathematics; Maximum likelihood estimation; Random variables; State estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2004. ISIT 2004. Proceedings. International Symposium on
  • Print_ISBN
    0-7803-8280-3
  • Type

    conf

  • DOI
    10.1109/ISIT.2004.1365204
  • Filename
    1365204
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2053813