DOIAbstract
General divergence measures for probability distributions are introduced and their main properties established. Connections with f-divergence corresponding to a convex function fare explored
General divergence measures for probability distributions are introduced and their main properties established. Connections with f-divergence corresponding to a convex function fare explored
We derive a generalized notion of f-divergences, called (f,l)-divergences. We show that this general...
Abstract. In this paper we shall consider one parametric generalization of some non-symmetric diverg...
There are many types of information divergences with used two probability distributions. A new infor...
General divergence measures for probability distributions are introduced and their main properties e...
Abstract Divergence measures are useful for comparing two probability distributions. Depending on th...
A recently established generalized Taylor formula is used to prove in a new much simpler manner the ...
A general divergence measure for monotonic functions is introduced.\ud Its connections with the f−di...
In this paper we generalise the concept of f-divergence to a convex function defined on a convex co...
. The so-called OE-divergence is an important characteristic describing "dissimilarity" of...
The f-divergence evaluates the dissimilarity between two probability distributions defined in terms ...
summary:Standard properties of $\phi$-divergences of probability measures are widely applied in vari...
Data science, information theory, probability theory, statistical learning, statistical signal proce...
We derive a generalized notion of f-divergences, called (f,l)-divergences. We show that this general...
This paper is focused on f-divergences, consisting of three main contributions. The first one introd...
Divergence is a discrepancy measure between two objects, such as functions, vectors, matrices, and s...
We derive a generalized notion of f-divergences, called (f,l)-divergences. We show that this general...
Abstract. In this paper we shall consider one parametric generalization of some non-symmetric diverg...
There are many types of information divergences with used two probability distributions. A new infor...
General divergence measures for probability distributions are introduced and their main properties e...
Abstract Divergence measures are useful for comparing two probability distributions. Depending on th...
A recently established generalized Taylor formula is used to prove in a new much simpler manner the ...
A general divergence measure for monotonic functions is introduced.\ud Its connections with the f−di...
In this paper we generalise the concept of f-divergence to a convex function defined on a convex co...
. The so-called OE-divergence is an important characteristic describing "dissimilarity" of...
The f-divergence evaluates the dissimilarity between two probability distributions defined in terms ...
summary:Standard properties of $\phi$-divergences of probability measures are widely applied in vari...
Data science, information theory, probability theory, statistical learning, statistical signal proce...
We derive a generalized notion of f-divergences, called (f,l)-divergences. We show that this general...
This paper is focused on f-divergences, consisting of three main contributions. The first one introd...
Divergence is a discrepancy measure between two objects, such as functions, vectors, matrices, and s...
We derive a generalized notion of f-divergences, called (f,l)-divergences. We show that this general...
Abstract. In this paper we shall consider one parametric generalization of some non-symmetric diverg...
There are many types of information divergences with used two probability distributions. A new infor...
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