Computing Accurate Probabilistic Estimates of One-D Entropy from Equiprobable Random Samples

We develop a simple Quantile Spacing (QS) method for accurate probabilistic estimation of one-dimensional entropy from equiprobable random samples, and compare it with the popular Bin-Counting (BC) and Kernel Density (KD) methods. In contrast to BC, which uses equal-width bins with varying probabili...

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Detalles Bibliográficos
Autores principales: Gupta, Hoshin V., Ehsani, Mohammad Reza, Roy, Tirthankar, Sans-Fuentes, Maria A., Ehret, Uwe, Behrangi, Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8231182/
https://www.ncbi.nlm.nih.gov/pubmed/34208344
http://dx.doi.org/10.3390/e23060740

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8231182/
https://www.ncbi.nlm.nih.gov/pubmed/34208344
http://dx.doi.org/10.3390/e23060740

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