• DocumentCode
    1779671
  • Title

    Some remarks on robust binary hypothesis testing

  • Author

    Biglieri, Ezio ; Gyorfi, Laszlo

  • Author_Institution
    Univ. Pompeu Fabra, Barcelona, Spain
  • fYear
    2014
  • fDate
    June 29 2014-July 4 2014
  • Firstpage
    566
  • Lastpage
    570
  • Abstract
    A composite hypothesis testing procedure, originally introduced in [5], is examined for robustness in the binary case. A density-free uniform exponential bound for the error probability is derived which tightens the bound of [5], it is shown that this procedure is equivalent to a hard-limited likelihood-ratio test, and asymptotic and nonasymptotic robustness is discussed.
  • Keywords
    error statistics; information theory; DGL test; error probability; hard limited likelihood ratio test; nonasymptotic robustness; robust binary hypothesis testing; uniform exponential bound; Approximation methods; Error probability; Information theory; Random variables; Robustness; Testing; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory (ISIT), 2014 IEEE International Symposium on
  • Conference_Location
    Honolulu, HI
  • Type

    conf

  • DOI
    10.1109/ISIT.2014.6874896
  • Filename
    6874896
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1779671