• DocumentCode
    1747994
  • Title

    On asymptotic equivalence of information-theoretic divergences

  • Author

    Vajda, Igor

  • Author_Institution
    Inst. of Inf. Theory & Autom., Czechoslovak Acad. of Sci., Prague, Czech Republic
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    23
  • Abstract
    Divergences of distributions in sense of Csiszar (1963), Bregman (1967) and Burbea-Rao (1982) are considered. Asymptotic formulas for them are obtained when the probability distributions converge in a strong sense
  • Keywords
    information theory; probability; asymptotic equivalence; information-theoretic divergences; probability distributions; Automation; Capacity planning; Chromium; Content addressable storage; Information theory; Probability distribution; Propagation losses; Relaxation methods; Speech; Statistical analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2001. Proceedings. 2001 IEEE International Symposium on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-7803-7123-2
  • Type

    conf

  • DOI
    10.1109/ISIT.2001.935886
  • Filename
    935886
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1747994