Fast Approximations of the Jeffreys Divergence between Univariate Gaussian Mixtures via Mixture Conversions to Exponential-Polynomial Distributions

The Jeffreys divergence is a renown arithmetic symmetrization of the oriented Kullback–Leibler divergence broadly used in information sciences. Since the Jeffreys divergence between Gaussian mixture models is not available in closed-form, various techniques with advantages and disadvantages have bee...

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Detalles Bibliográficos
Autor principal: Nielsen, Frank
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8619509/
https://www.ncbi.nlm.nih.gov/pubmed/34828115
http://dx.doi.org/10.3390/e23111417

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8619509/
https://www.ncbi.nlm.nih.gov/pubmed/34828115
http://dx.doi.org/10.3390/e23111417

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