• DocumentCode
    1891552
  • Title

    Composite likelihood estimation for multivariate mixed poisson distributions

  • Author

    Chatelain, Florent ; Tourneret, Jean-Yves

  • Author_Institution
    IRIT/ENSEEIHT/TeSA, Toulouse
  • fYear
    2005
  • fDate
    17-20 July 2005
  • Firstpage
    49
  • Lastpage
    54
  • Abstract
    This paper addresses the problem of estimating the parameters of multivariate mixed Poisson distributions. The classical maximum likelihood approach cannot be used for such distributions since they cannot be expressed in simple closed-form. This paper studies an estimation strategy based on the maximization of a so-called composite likelihood criterion. This strategy is compared to a more classical estimator based on the method of moments
  • Keywords
    Poisson distribution; image processing; method of moments; parameter estimation; composite likelihood criterion; estimation strategy; maximization; method of moment; multivariate mixed Poisson distribution; parameter estimation; Astronomy; Cameras; Image processing; Layout; Maximum likelihood estimation; Moment methods; Parameter estimation; Polynomials; Probability density function; Random variables;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal Processing, 2005 IEEE/SP 13th Workshop on
  • Conference_Location
    Novosibirsk
  • Print_ISBN
    0-7803-9403-8
  • Type

    conf

  • DOI
    10.1109/SSP.2005.1628562
  • Filename
    1628562