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The Fisher–Rao Distance between Multivariate Normal Distributions: Special Cases, Bounds and Applications
The Fisher–Rao distance is a measure of dissimilarity between probability distributions, which, under certain regularity conditions of the statistical model, is up to a scaling factor the unique Riemannian metric invariant under Markov morphisms. It is related to the Shannon entropy and has been use...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516881/ https://www.ncbi.nlm.nih.gov/pubmed/33286178 http://dx.doi.org/10.3390/e22040404 |