• DocumentCode
    2920886
  • Title

    On convergence rates of finite memory estimators of infinite memory processes

  • Author

    Csiszár, Imre ; Talata, Zsolt

  • Author_Institution
    Alfred Renyi Inst. of Math., Hungarian Acad. of Sci., Budapest, Hungary
  • fYear
    2010
  • fDate
    6-8 Jan. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Stationary ergodic processes with finite alphabets are approximated by finite memory processes based on an n-length realization of the process. Under the assumptions of summable continuity rate and non-nullness, a rate of convergence in d̅-distance is obtained, with explicit constants. Asymptotically, as n → ∞, the result is near the optimum.
  • Keywords
    stochastic processes; convergence rates; finite memory estimators; infinite memory processes; stationary ergodic processes; Convergence; Entropy; Hamming distance; Markov processes; Mathematics; Random sequences; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory (ITW 2010, Cairo), 2010 IEEE Information Theory Workshop on
  • Conference_Location
    Cairo
  • Print_ISBN
    978-1-4244-6372-5
  • Type

    conf

  • DOI
    10.1109/ITWKSPS.2010.5503181
  • Filename
    5503181