Cargando…
Empirical Estimation of Information Measures: A Literature Guide
We give a brief survey of the literature on the empirical estimation of entropy, differential entropy, relative entropy, mutual information and related information measures. While those quantities are of central importance in information theory, universal algorithms for their estimation are increasi...
Autor principal: | Verdú, Sergio |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515235/ https://www.ncbi.nlm.nih.gov/pubmed/33267434 http://dx.doi.org/10.3390/e21080720 |
Ejemplares similares
-
The Cauchy Distribution in Information Theory
por: Verdú, Sergio
Publicado: (2023) -
Error Exponents and α-Mutual Information
por: Verdú, Sergio
Publicado: (2021) -
Measuring affect dynamics: An empirical framework
por: Pirla, Sergio, et al.
Publicado: (2022) -
Estimating the impact of physical distancing measures in containing COVID-19: an empirical analysis
por: Koh, Wee Chian, et al.
Publicado: (2020) -
Estimation of Dependences Based on Empirical Data: Empirical Inference Science
por: Vapnik, Vladimir
Publicado: (2006)