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On a New Csiszar’s f-Divergence Measure Cover
By: P. K. Bhatia and  Surender Singh  
Open Access
|May 2013

Abstract

A new parametric probabilistic measure of information and a corresponding symmetric divergence (distance) measure is proposed. The information measure is useful to study the uncertainty and the corresponding divergence measure is useful for comparing two probability distributions. The proposed parametric divergence measure belongs to the family of Csiszar’s f-divergence measures. The bounds of this divergence measures are obtained in terms of some well known divergence measures. Some properties of the proposed information and divergence measures are studied.

DOI: https://doi.org/10.2478/cait-2013-0013 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
Language: English
Page range: 43 - 57
Published on: May 21, 2013
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2013 P. K. Bhatia, Surender Singh, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons License.