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Cited by 274

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Entropy differential metric, distance and divergence measures in probability spaces: A unified approach

Open access
Burbea, Jacob, Rao, C.Radhakrishna·1982·Journal of Multivariate Analysis

Abstract

The paper is devoted to metrization of probability spaces through the introduction of a quadratic differential metric in the parameter space of the probability distributions. For this purpose, a [phi]-entropy functional is defined on the probability space and its Hessian along a direction of the tangent space of the parameter space is taken as the metric. The distance between two probability distributions is computed as the geodesic distance induced by the metric. The paper also deals with three measures of divergence between probability distributions and their interrelationships.

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Crossref · 10.1016/0047-259x(82)90065-3

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Metadata

Authors
Burbea, J., & Rao, C. R.
Venue
Journal of Multivariate Analysis
Publisher
Elsevier BV
Published
1982-12
Volume
12
Issue
4
Pages
575-596
ISSN
0047-259X (ISSN-L)
OpenAlex
W1993087762
Cited by
274
References
11
FWCI
2.73
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Entropy differential metric, distance and divergence measures in probability spaces: A unified approach. https://app.cochat.ai/papers/10.1016/0047-259x(82)90065-3
The paper
Burbea, J., & Rao, C. R. (1982). Entropy differential metric, distance and divergence measures in probability spaces: A unified approach. Journal of Multivariate Analysis. https://doi.org/10.1016/0047-259x(82)90065-3

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.