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Relative Divergence Measures and Information Inequalities | | Inder Jeet Taneja
; | | Date: |
11 May 2005 | | Subject: | Probability MSC-class: 94A17; 26D15 | math.PR | | Abstract: | There are many information and divergence measures exist in the literature on information theory and statistics. The most famous among them are Kullback-Leiber’s (1951)relative information and Jeffreys (1946) J-divergence, Information radius or Jensen difference divergence measure due to Sibson (1969) also known in the literature. Burbea and Rao (1982) has also found its applications in the literature. Taneja (1995) studied another kind of divergence measure based on arithmetic and geometric means. These three divergence measures bear a good relationship among each other. But there are another measures arising due to J-divergence, JS-divergence and AG-divergence. These measures we call here relative divergence measures or non-symmetric divergence measures. Here our aim is to obtain bounds on symmetric and non-symmetric divergence measures in terms of relative information of type s using properties of Csiszar’s f-divergence. | | Source: | arXiv, math.PR/0505204 | | Services: | Forum | Review | PDF | Favorites | |
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