On an information divergence measure and information inequalities

Pranesh KumarLaura Hunter



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Information divergence measures are often useful for comparing two probability distributions. An information divergence measure is suggested. This measure is symmetric in respect of the probability distributions and belongs to the well known class of Csisz´ar’s f-divergences. Its properties are studied and bounds in terms of often used information divergences are obtained. A numerical illustration based on symmetric and asymmetric probability distributions compares some of these divergence measures.

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Hunter, Laura, Kumar, Pranesh