Results involving the approximation of the difference between two integral means are utilised to obtain bounds on the integral mean divergence and the f-divergence due to Csiszár. The current work does not restrict the functions involved to be convex. If convexity is imposed then the integral mean divergence is the Hermite-Hadamard divergence introduced by Shioya and Da-te
This paper is focused on f-divergences, consisting of three main contributions. The first one introd...
AbstractEstimates of the difference of two integral means on [a,b], [c,d] with [c,d] ⊂ [a,b] in term...
There are many types of information divergences with used two probability distributions. A new infor...
Results involving the approximation of the difference between two integral means are utilised to obt...
Results involving the approximation of the difference between two integral means are utilised to obt...
summary:The concept of $f$-divergences was introduced by Csiszár in 1963 as measures of the ‘hardnes...
The concept of f-divergences was introduced by Csiszár in 1963 as measures of the ’hardness’ of a te...
In this paper we have considered a difference of Jensen’s inequality for convex functions and prove...
General divergence measures for probability distributions are introduced and their main properties e...
f-divergences are a general class of divergences between probability measures which include as speci...
In this paper we generalise the concept of f-divergence to a convex function defined on a convex co...
The f-divergence evaluates the dissimilarity between two probability distributions defined in terms ...
A refinement of the discrete Jensen’s inequality for convex functions defined on a convex subset in...
Estimates of the difference of two integral means on [a,b], [c,d] with [c,d] &unknown; [a,b] in term...
A refinement of the discrete Jensen’s inequality for convex functions defined on a convex subset in...
This paper is focused on f-divergences, consisting of three main contributions. The first one introd...
AbstractEstimates of the difference of two integral means on [a,b], [c,d] with [c,d] ⊂ [a,b] in term...
There are many types of information divergences with used two probability distributions. A new infor...
Results involving the approximation of the difference between two integral means are utilised to obt...
Results involving the approximation of the difference between two integral means are utilised to obt...
summary:The concept of $f$-divergences was introduced by Csiszár in 1963 as measures of the ‘hardnes...
The concept of f-divergences was introduced by Csiszár in 1963 as measures of the ’hardness’ of a te...
In this paper we have considered a difference of Jensen’s inequality for convex functions and prove...
General divergence measures for probability distributions are introduced and their main properties e...
f-divergences are a general class of divergences between probability measures which include as speci...
In this paper we generalise the concept of f-divergence to a convex function defined on a convex co...
The f-divergence evaluates the dissimilarity between two probability distributions defined in terms ...
A refinement of the discrete Jensen’s inequality for convex functions defined on a convex subset in...
Estimates of the difference of two integral means on [a,b], [c,d] with [c,d] &unknown; [a,b] in term...
A refinement of the discrete Jensen’s inequality for convex functions defined on a convex subset in...
This paper is focused on f-divergences, consisting of three main contributions. The first one introd...
AbstractEstimates of the difference of two integral means on [a,b], [c,d] with [c,d] ⊂ [a,b] in term...
There are many types of information divergences with used two probability distributions. A new infor...
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