Add to ORKGInequalities which connect information divergence with other measures of discrimination or distance between probability distributions are used in information theory and its applications to mathematical statistics, ergodic theory and other scientific fields. We suggest new inequalities of this type. One of them is a sharpening of the well known Pinsker inequality. Our results depend on two measures of discrimination, called capacitory discrimination and triangular discrimination. The discussion contains references to related research. This concerns, in particular, Csiszar's f-divergences and the Hellinger distance
Abstract Divergence measures are useful for comparing two probability distributions. Depending on th...
The aim of this review is to give different two-parametric generalizations of the following measures...
There are many types of information divergences with used two probability distributions. A new infor...
Inequalities which connect information divergence with other measures of discrimination or distance ...
Abstract: Inequalities are playing a fundamental role in the area of Information Theory and Statisti...
[[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
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 the field of information theory, statistics and other application areas, the information-theoreti...
In the field of information theory, statistics and other application areas, the information-theoreti...
During past years Dragomir contributed a lot of work providing different kind of bounds on the dista...
During past years Dragomir contributed a lot of work providing different kind of bounds on the dista...
Information and Divergence measures deals with the study of problems concerning information processi...
AbstractA symmetric measure of information divergence is proposed. This measure belongs to the class...
Abstract Divergence measures are useful for comparing two probability distributions. Depending on th...
The aim of this review is to give different two-parametric generalizations of the following measures...
There are many types of information divergences with used two probability distributions. A new infor...
Inequalities which connect information divergence with other measures of discrimination or distance ...
Abstract: Inequalities are playing a fundamental role in the area of Information Theory and Statisti...
[[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
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 the field of information theory, statistics and other application areas, the information-theoreti...
In the field of information theory, statistics and other application areas, the information-theoreti...
During past years Dragomir contributed a lot of work providing different kind of bounds on the dista...
During past years Dragomir contributed a lot of work providing different kind of bounds on the dista...
Information and Divergence measures deals with the study of problems concerning information processi...
AbstractA symmetric measure of information divergence is proposed. This measure belongs to the class...
Abstract Divergence measures are useful for comparing two probability distributions. Depending on th...
The aim of this review is to give different two-parametric generalizations of the following measures...
There are many types of information divergences with used two probability distributions. A new infor...