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The Jensen-Shannon divergence

✍ Scribed by M.L. Menéndez; J.A. Pardo; L. Pardo; M.C. Pardo

Book ID
104134700
Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
500 KB
Volume
334
Category
Article
ISSN
0016-0032

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✦ Synopsis

In this paper we investigate the Jensen-Shannon parametric divergence .for testing goodness-of-fit for point estimation. Most of the work presented is an analytical study of the asymptotic differences between different members of the family proposed in goodness oJfit, together with an examination of closer approximations to the exact distribution of these statistics than the commonly used chi-squared distribution. Finally the minimum Jensen-Shannon divergence estimates are introduced and compared with other well-known estimators by computer simulation. Copyright

📜 SIMILAR VOLUMES

The Jensen-Shannon divergence
The Jensen-Shannon divergence
✍ M.L. Menéndez; J.A. Pardo; L. Pardo; M.C. Pardo 📂 Article 📅 1997 🏛 Elsevier Science 🌐 English ⚖ 500 KB
Non-logarithmic Jensen–Shannon divergenc
Non-logarithmic Jensen–Shannon divergence
✍ Pedro W. Lamberti; Ana P. Majtey 📂 Article 📅 2003 🏛 Elsevier Science 🌐 English ⚖ 165 KB

The Jensen-Shannon divergence is a symmetrized and smoothed version of the Kullback-Leibler divergence. Recently it has been widely applied to the analysis and characterization of symbolic sequences. In this paper we investigate a generalization of the Jensen-Shannon divergence. This generalization