Moderate deviations analysis of binary hypothesis testing

@article{Sason2012ModerateDA,
  title={Moderate deviations analysis of binary hypothesis testing},
  author={Igal Sason},
  journal={2012 IEEE International Symposium on Information Theory Proceedings},
  year={2012},
  pages={821-825}
}
This work refers to moderate-deviations analysis of binary hypothesis testing. It relies on a concentration inequality for discrete-parameter martingales with bounded jumps, which forms a refinement to the Azuma-Hoeffding inequality. Relations of the analysis to the moderate deviations principle for i.i.d. random variables and the relative entropy are considered. 
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Abbe,Local to Global Geometric Methods in Information Theory

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