• DocumentCode
    2976235
  • Title

    An impossibility result for process discrimination

  • Author

    Ryabko, Daniil

  • Author_Institution
    INRIA-Lille Nord Eur., Villeneuve dAscq, France
  • fYear
    2009
  • fDate
    June 28 2009-July 3 2009
  • Firstpage
    1734
  • Lastpage
    1738
  • Abstract
    Two series of binary observations x1; x1,... and y1, y2,... are presented: at each time n isin Nopf we are given xn and yn. It is assumed that the sequences are generated independently of each other by two stochastic processes. We are interested in the question of whether the sequences represent a typical realization of two different processes or of the same one. We demonstrate that this is impossible to decide in the case when the processes are B-processes. It follows that discrimination is impossible for the set of all (finite-valued) stationary ergodic processes in general. This result means that every discrimination procedure is bound to err with non-negligible frequency when presented with sequences from some of such processes. It contrasts earlier positive results on B-processes, in particular those showing that there are consistent dmacr-distance estimates for this class of processes.
  • Keywords
    sequences; stochastic processes; B-process; binary observation; d-distance estimate; impossibility result; nonnegligible frequency; process discrimination; sequence; stationary ergodic process; stochastic process; Europe; Frequency; Information theory; Stochastic processes; Testing; B-processes; Process discrimination; homogeneity testing; stationary ergodic processes; time series;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2009. ISIT 2009. IEEE International Symposium on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4244-4312-3
  • Electronic_ISBN
    978-1-4244-4313-0
  • Type

    conf

  • DOI
    10.1109/ISIT.2009.5205254
  • Filename
    5205254