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...
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| Egile Nagusiak: | , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
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MDPI AG
2020-04-01
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| Saila: | Entropy |
| Gaiak: | |
| Sarrera elektronikoa: | https://www.mdpi.com/1099-4300/22/4/404 |
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