• DocumentCode
    181577
  • Title

    α-divergence derived as the generalized rate function in a power-law system

  • Author

    Suyari, Hiroki ; Scarfone, Antonio Maria

  • Author_Institution
    Grad. Sch. of Adv. Integration Sci., Chiba Univ., Chiba, Japan
  • fYear
    2014
  • fDate
    26-29 Oct. 2014
  • Firstpage
    130
  • Lastpage
    134
  • Abstract
    The generalized binomial distribution in Tsallis statistics (power-law system) is explicitly formulated from the precise q-Stirling´s formula. The α-divergence (or q-divergence) is uniquely derived from the generalized binomial distribution in the sense that when a α → -1 (i.e., q → 1) it recovers KL divergence obtained from the standard binomial distribution. Based on these combinatorial considerations, it is shown that α-divergence (or q-divergence) is appeared as the generalized rate function in the large deviation estimate in Tsallis statistics.
  • Keywords
    binomial distribution; statistics; α-divergence; KL divergence; Tsallis statistics; generalized binomial distribution; generalized rate function; power-law system; q-Stirling formula; q-divergence; Australia; Entropy; Information theory; Random variables; Standards; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory and its Applications (ISITA), 2014 International Symposium on
  • Conference_Location
    Melbourne, VIC
  • Type

    conf

  • Filename
    6979817