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dc.contributor.authorDelSole, T.
dc.date.accessioned2005-07-25T12:06:09Z
dc.date.available2005-07-25T12:06:09Z
dc.date.issued2003
dc.identifier.urihttp://hdl.handle.net/1834/470
dc.description.abstractThe connection between predictability and information theory is discussed with the aim of clarifying the various metrics which have been proposed in the literature. This discussion begins with the following definition of predictability: an event is predictable if the posterior distribution, after a set of observations becomes available, differs in any way from the prior distribution which is known before observations become available.en
dc.format.extent210998 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.titlePredictability and Information Part I: Measures of Predictabilityen
dc.typePreprint
dc.subject.asfaInformation retrievalen
refterms.dateFOA2021-01-30T18:47:48Z


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