Abstract Motivated by the method of interpolating inequalities that makes use of the improved Jensen-type inequalities, in this paper we integrate this approach with the well known Zipf–Mandelbrot law applied to various types of f-divergences and distances, such are Kullback–Leibler divergence, Hellinger distance, Bhattacharyya distance (via coefficient), χ2 $\chi^{2}$-divergence, total variation distance and triangular discrimination. Addressing these applications, we firstly deduce general results of the type for the Csiszár divergence functional from which the listed divergences originate. When presenting the analyzed inequalities for the Zipf–Mandelbrot law, we accentuate its special form, the Zipf law with its specific role in linguist...
Abstract. In this paper we establish an upper and a lower bound for the f-divergence of two discrete...
summary:In this paper we establish an upper and a lower bound for the $f$-divergence of two discrete...
The f-divergence evaluates the dissimilarity between two probability distributions defined in terms ...
Motivated by the method of interpolating inequalities that makes use of the improved Jensen-type ine...
Motivated by the method of interpolating inequalities that makes use of the improved Jensen-type ine...
The Jensen functional in its discrete form is brought in relation to the Csiszar divergence function...
In this paper we show how the Zipf-Mandelbrot law is connected to the theory of majorization. Firstl...
We started with the generalization of the Csiszar's f-divergence. We stated and proved Jensen's type...
Summary: "In this paper we obtain some estimates for the generalized f-divergence functional via con...
In this paper we obtain some estimates for the generalized f-divergence functional via converses of ...
We started with the generalization of the Csiszár’s f -divergence. We stated and proved Jensen’s typ...
By means of one new Jensen-type inequality for signed measures which is characterized via several di...
The Jensen's inequality plays a crucial role to obtain inequalities for divergences between probabil...
The purpose of this paper is to give a series of inequalities of the Jensen type and their applicati...
Jensen’s inequality is one of the fundamental inequalities which has several applications in almost ...
Abstract. In this paper we establish an upper and a lower bound for the f-divergence of two discrete...
summary:In this paper we establish an upper and a lower bound for the $f$-divergence of two discrete...
The f-divergence evaluates the dissimilarity between two probability distributions defined in terms ...
Motivated by the method of interpolating inequalities that makes use of the improved Jensen-type ine...
Motivated by the method of interpolating inequalities that makes use of the improved Jensen-type ine...
The Jensen functional in its discrete form is brought in relation to the Csiszar divergence function...
In this paper we show how the Zipf-Mandelbrot law is connected to the theory of majorization. Firstl...
We started with the generalization of the Csiszar's f-divergence. We stated and proved Jensen's type...
Summary: "In this paper we obtain some estimates for the generalized f-divergence functional via con...
In this paper we obtain some estimates for the generalized f-divergence functional via converses of ...
We started with the generalization of the Csiszár’s f -divergence. We stated and proved Jensen’s typ...
By means of one new Jensen-type inequality for signed measures which is characterized via several di...
The Jensen's inequality plays a crucial role to obtain inequalities for divergences between probabil...
The purpose of this paper is to give a series of inequalities of the Jensen type and their applicati...
Jensen’s inequality is one of the fundamental inequalities which has several applications in almost ...
Abstract. In this paper we establish an upper and a lower bound for the f-divergence of two discrete...
summary:In this paper we establish an upper and a lower bound for the $f$-divergence of two discrete...
The f-divergence evaluates the dissimilarity between two probability distributions defined in terms ...