Asymptotic methods in statistical theory
Asymptotic methods in statistical theory
Connections of generalized divergence measures with Fisher information matrix
Information Sciences: an International Journal
On the convexity of some divergence measures based on entropy functions
IEEE Transactions on Information Theory
Information, Divergence and Risk for Binary Experiments
The Journal of Machine Learning Research
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A symmetric measure of information divergence is proposed. This measure belongs to the class of Csiszar's f-divergences. Its properties are studied and bounds in terms of well known divergence measures obtained. A numerical illustration is carried out to compare this measure with some known divergence measures.