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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

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