Title :
Some remarks on robust binary hypothesis testing
Author :
Biglieri, Ezio ; Gyorfi, Laszlo
Author_Institution :
Univ. Pompeu Fabra, Barcelona, Spain
fDate :
June 29 2014-July 4 2014
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;
Conference_Titel :
Information Theory (ISIT), 2014 IEEE International Symposium on
Conference_Location :
Honolulu, HI
DOI :
10.1109/ISIT.2014.6874896
