Cargando…
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...
| Autores principales: | , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141039/ https://www.ncbi.nlm.nih.gov/pubmed/35626567 http://dx.doi.org/10.3390/e24050683 |