Asymptotic Normality for Plug-In Estimators of Generalized Shannon’s Entropy
Shannon’s entropy is one of the building blocks of information theory and an essential aspect of Machine Learning (ML) methods (e.g., Random Forests). Yet, it is only finitely defined for distributions with fast decaying tails on a countable alphabet. The unboundedness of Shannon’s entropy over the...
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| Autors principals: | , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI AG
2022-05-01
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| Col·lecció: | Entropy |
| Matèries: | |
| Accés en línia: | https://www.mdpi.com/1099-4300/24/5/683 |
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