Moderate Deviations Analysis of Binary Hypothesis Testing

被引：0
|
作者：
Sason, Igal [1 ]
机构：
[1] Technion Israel Inst Technol, Dept Elect Engn, IL-32000 Haifa, Israel
来源：
2012 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY PROCEEDINGS (ISIT) | 2012年
关键词：
Concentration inequalities; hypothesis testing; moderate deviations principle; INEQUALITIES; SUMS;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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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页码：821 / 825
页数：5
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