On Concentration and Revisited Large Deviations Analysis of Binary Hypothesis Testing

Details On Concentration and Revisited Large Deviations Analysis of Binary Hypothesis Testing On Concentration and Revisited Large Deviations Analysis of Binary Hypothesis Testing

2011-11-08

arxiv.org/abs/1111.1992v1

Computer Science

Information Theory

This work will be presented at the 2012 Workshop on Information Theory & Applications, La Jolla, California, USA, February 201

Scientific paper

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.

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