Metrization of powers of the Jensen-Shannon divergence

Metrization of statistical divergences is valuable in both theoretical and practical aspects.One approach to obtaining metrics associated with divergences is to consider their fractional powers.Motivated by this idea, Osn, Bussandri, and Lamberti (2018) studied the metrization of fractional powers of the Jensen-Shannon divergence between multinomial distributions and posed an open problem.In this short note, we provide an affirmative answer to their conjecture.Moreover, our method is also applicable to fractional powers of f -divergences between Cauchy distributions.

Authors

Publication Details

Journal
Kybernetika
Published
2025-09-02
DOI
https://doi.org/10.14736/kyb-2025-4-0481
Citations
1
Primary Topic
Advanced Statistical Methods and Models
Type
article
Field-Weighted Citation Impact
2.63
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article

Metrization of powers of the Jensen-Shannon divergence

Kazuki Okamura
1 citations
Kybernetika
Advanced Statistical Methods and Models
2.63
article

Metrization of powers of the Jensen-Shannon divergence

Kazuki Okamura
article en
1 citations

Abstract

Metrization of statistical divergences is valuable in both theoretical and practical aspects.One approach to obtaining metrics associated with divergences is to consider their fractional powers.Motivated by this idea, Osn, Bussandri, and Lamberti (2018) studied the metrization of fractional powers of the Jensen-Shannon divergence between multinomial distributions and posed an open problem.In this short note, we provide an affirmative answer to their conjecture.Moreover, our method is also applicable to fractional powers of f -divergences between Cauchy distributions.

Kybernetika
Openalex Percentile: Top 9%
Advanced Statistical Methods and Models
2.63
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Metrization of powers of the Jensen-Shannon divergence — Kazuki Okamura · Kybernetika (2025) | TGRS Research Map | TGRS