Series of divergence measures of type k, information inequalities and particular cases

被引：0
|
作者：
Saraswat, R. N. [1 ]
Tak, Ajay [1 ]
机构：
[1] Manipal Univ Jaipur, Dept Math & Stat, Jaipur 303007, Rajasthan, India
来源：
APPLICATIONS AND APPLIED MATHEMATICS-AN INTERNATIONAL JOURNAL | 2019年 / 14卷 / 02期
关键词：
Directed Divergence; Convex functions; new f-divergence; Hellinger discrimination; Kullback-Leibler divergence measure; Entropy; Jensen-Shannon divergence measure; OSTROWSKI;
D O I：
暂无
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
Information and Divergence measures deals with the study of problems concerning information processing, information storage, information retrieval and decision making. The purpose of this paper is to find a new series of divergence measures and their applications, discuss the mathematical tools for finding convexity of the functions. Applications of convex functions in information theory, relationship between new and well-known divergence measures are discussed. Also some new bounds have been established for divergence measures using new f divergence measures and its properties.
引用
收藏
页码：1067 / 1084
页数：18
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