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On Concentration and Revisited Large Deviations Analysis of Binary Hypothesis Testing
This paper first introduces a refined version of the Azuma-Hoeffding
inequality for discrete-parameter martingales with uniformly bounded jumps. The
refined inequality is used to revisit the large deviations analysis of binary
hypothesis testing.Comment: This paper (7 pages) is closely related to a presentation at the 2012
Workshop on Information Theory and Applications, La Jolla, California, USA,
February 201