• DocumentCode
    788416
  • Title

    Maximum entropy versus minimum risk and applications to some classical discrete distributions

  • Author

    Topsøe, Flemming

  • Author_Institution
    Dept. of Math., Copenhagen Univ., Denmark
  • Volume
    48
  • Issue
    8
  • fYear
    2002
  • fDate
    8/1/2002 12:00:00 AM
  • Firstpage
    2368
  • Lastpage
    2376
  • Abstract
    The game which can be taken to lie behind the maximum-entropy principle is studied. Refining previous techniques, new theoretical results are obtained. These results are illustrated by concrete examples pertaining to well-known classical models.
  • Keywords
    binary codes; game theory; maximum entropy methods; statistical analysis; Nash equilibrium; Poisson distribution; binary prefix-free code; binomial distribution; classical discrete distributions; code length game; empirical distribution; geometric distribution; maximum entropy; minimum risk; optimality criteria; Algorithm design and analysis; Artificial neural networks; Classification algorithms; Classification tree analysis; Data analysis; Entropy; Iterative algorithms; Pattern recognition; Regression tree analysis; Source coding;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2002.800479
  • Filename
    1019845
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=788416