Original title: A New Look to Information and Uncertainty of Continuous Distributions
Authors: Fabián, Zdeněk
Document type: Research reports
Year: 2022
Language: eng
Series: Technical Report, volume: V-1293
Abstract: We define information and uncertainty function of a family of continuous distributions. Their values are relative information and uncertainty of an observation from the given parametric family, their mean values are the generalized Fisher information and a new measure of variability, the score variance. In a series of examples we show why to use new concepts instead of the differential entropy.
Keywords: Differential entropy; information function; mean information of distribution; uncertainty function

Institution: Institute of Computer Science AS ČR (web)
Document availability information: Fulltext is available at the institute of the Academy of Sciences.
Original record: https://hdl.handle.net/11104/0337863

Permalink: http://www.nusl.cz/ntk/nusl-512293


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