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Empirical Squared Hellinger Distance Estimator and Generalizations to a Family of α-Divergence Estimators
We present an empirical estimator for the squared Hellinger distance between two continuous distributions, which almost surely converges. We show that the divergence estimation problem can be solved directly using the empirical CDF and does not need the intermediate step of estimating the densities....
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137612/ https://www.ncbi.nlm.nih.gov/pubmed/37190400 http://dx.doi.org/10.3390/e25040612 |