Utility function estimation: The entropy approach

dc.contributor.authorDionísio, Andreia
dc.contributor.authorHeitor Reis, António
dc.contributor.authorCoelho, Luís
dc.date.accessioned2009-11-16T15:34:22Z
dc.date.available2009-11-16T15:34:22Z
dc.date.issued2008
dc.description.abstractThe maximum entropy principle can be used to assign utility values when only partial information is available about the decision maker’s preferences. In order to obtain such utility values it is necessary to establish an analogy between probability and utility through the notion of a utility density function. In this paper we explore the maximum entropy principle to estimate the utility function of a risk averse decision maker.en
dc.format.extent103576 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.accesstypelivreen
dc.identifier.authoremailandreia@uevora.pt
dc.identifier.authoremailahr@uevora.pt
dc.identifier.authoremaillcoeho@uevora.pt
dc.identifier.pagina3862-3867en
dc.identifier.revistaPhysica Aen
dc.identifier.scientificarea637en
dc.identifier.urihttp://hdl.handle.net/10174/1813
dc.identifier.volume387en
dc.language.isoeng
dc.peerreviewedyesen
dc.publisherElsevieren
dc.rightsopenAccessen
dc.subjectMaximum entropyen
dc.subjectUtilty Functionen
dc.titleUtility function estimation: The entropy approachen
dc.typearticleen

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