Název:
A New Look to Information and Uncertainty of Continuous Distributions
Autoři:
Fabián, Zdeněk Typ dokumentu: Výzkumné zprávy
Rok:
2022
Jazyk:
eng
Edice: Technical Report, svazek: V-1293
Abstrakt: 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.
Klíčová slova:
Differential entropy; information function; mean information of distribution; uncertainty function
Instituce: Ústav informatiky AV ČR
(web)
Informace o dostupnosti dokumentu:
Dokument je dostupný v příslušném ústavu Akademie věd ČR. Původní záznam: https://hdl.handle.net/11104/0337863