Add to ORKGAbstract: Inequalities are playing a fundamental role in the area of Information Theory and Statistics. Large numbers of Mathematicians like as Taneja, Pranesh Kumar Dragomir etc. have been studied application of Inequalities in different branches of the pure and applied mathematics, physics, computer science etc. In this research article, we shall consider inequalities among information divergence measure and Hellinger discrimination. We shall propose a new non-symmetric information divergenc
During past years Dragomir contributed a lot of work providing different kind of bounds on the dista...
There are many types of information divergences with used two probability distributions. A new infor...
During past years Dragomir contributed a lot of work providing different kind of bounds on the dista...
Inequalities which connect information divergence with other measures of discrimination or distance ...
[[abstract]]The problem of choosing a proper divergence measure is an important one. We provide new ...
Some new inequalities for the well-known Jeffreys divergence measure in Information Theory are given
Information and Divergence measures deals with the study of problems concerning information processi...
In this paper, we have obtained bounds on Csiszár’s f-divergence in terms of relative information of...
In this paper, we have obtained bounds on Csiszár’s f-divergence in terms of relative information of...
In this paper we prove some new inequalities for Hermite-Hadamard divergence in Information Theory
In this paper we prove some new inequalities for Hermite-Hadamard divergence in Information Theory
Data science, information theory, probability theory, statistical learning, statistical signal proce...
AbstractA symmetric measure of information divergence is proposed. This measure belongs to the class...
In this paper we introduce the concepts of Stolarsky and Gini divergence measures and establish a n...
In this paper we introduce the concepts of Stolarsky and Gini\ud divergence measures and establish a...
During past years Dragomir contributed a lot of work providing different kind of bounds on the dista...
There are many types of information divergences with used two probability distributions. A new infor...
During past years Dragomir contributed a lot of work providing different kind of bounds on the dista...
Inequalities which connect information divergence with other measures of discrimination or distance ...
[[abstract]]The problem of choosing a proper divergence measure is an important one. We provide new ...
Some new inequalities for the well-known Jeffreys divergence measure in Information Theory are given
Information and Divergence measures deals with the study of problems concerning information processi...
In this paper, we have obtained bounds on Csiszár’s f-divergence in terms of relative information of...
In this paper, we have obtained bounds on Csiszár’s f-divergence in terms of relative information of...
In this paper we prove some new inequalities for Hermite-Hadamard divergence in Information Theory
In this paper we prove some new inequalities for Hermite-Hadamard divergence in Information Theory
Data science, information theory, probability theory, statistical learning, statistical signal proce...
AbstractA symmetric measure of information divergence is proposed. This measure belongs to the class...
In this paper we introduce the concepts of Stolarsky and Gini divergence measures and establish a n...
In this paper we introduce the concepts of Stolarsky and Gini\ud divergence measures and establish a...
During past years Dragomir contributed a lot of work providing different kind of bounds on the dista...
There are many types of information divergences with used two probability distributions. A new infor...
During past years Dragomir contributed a lot of work providing different kind of bounds on the dista...