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001431737 001__ 1431737
001431737 003__ OCoLC
001431737 005__ 20230309003239.0
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001431737 020__ $$a9783030497286$$q(electronic bk.)
001431737 020__ $$a3030497283$$q(electronic bk.)
001431737 020__ $$z9783030497279$$q(hardback)
001431737 020__ $$z9783030497309$$q(paperback)
001431737 0247_ $$a10.1007/978-3-030-49728-6$$2doi
001431737 0247_ $$a10.1007/978-3-030-49$$2doi
001431737 035__ $$aSP(OCoLC)1183719061
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001431737 049__ $$aISEA
001431737 050_4 $$aHB139$$b.B44 2021
001431737 08204 $$a330.01/5195$$223
001431737 24500 $$aBehavioral predictive modeling in economics /$$cSongsak Sriboonchitta, Vladik Kreinovich, Woraphon Yamaka, editors.
001431737 260__ $$aCham, Switzerland :$$bSpringer,$$c[2021]
001431737 300__ $$a1 online resource
001431737 336__ $$atext$$btxt$$2rdacontent
001431737 337__ $$acomputer$$bc$$2rdamedia
001431737 338__ $$aonline resource$$bcr$$2rdacarrier
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001431737 347__ $$bPDF
001431737 4901_ $$aStudies in computational intelligence,$$x1860-949X ;$$vvolume 897
001431737 5050_ $$aIntroduction -- Behavioral Predictive Modeling in Economics -- Conclusion.
001431737 506__ $$aAccess limited to authorized users.
001431737 520__ $$aThis book presents both methodological papers on and examples of applying behavioral predictive models to specific economic problems, with a focus on how to take into account people's behavior when making economic predictions. This is an important issue, since traditional economic models assumed that people make wise economic decisions based on a detailed rational analysis of all the relevant aspects. However, in reality - as Nobel Prize-winning research has shown - people have a limited ability to process information and, as a result, their decisions are not always optimal. Discussing the need for prediction-oriented statistical techniques, since many statistical methods currently used in economics focus more on model fitting and do not always lead to good predictions, the book is a valuable resource for researchers and students interested in the latest results and challenges and for practitioners wanting to learn how to use state-of-the-art techniques.
001431737 650_0 $$aEconometrics.
001431737 650_0 $$aEconomics$$xPsychological aspects.
001431737 650_0 $$aComputational intelligence.
001431737 650_6 $$aÉconométrie.
001431737 650_6 $$aÉconomie politique$$xAspect psychologique.
001431737 650_6 $$aIntelligence informatique.
001431737 655_0 $$aElectronic books.
001431737 7000_ $$aSongsak Sriboonchitta,$$eeditor.
001431737 7001_ $$aKreinovich, Vladik,$$eeditor.
001431737 7001_ $$aYamaka, Woraphon,$$eeditor.
001431737 77608 $$iPrint version:$$z3030497275$$z9783030497279$$w(OCoLC)1154124827
001431737 77608 $$iPrint version :$$tBehavioral predictive modeling in economics.$$dCham, Switzerland : Springer, [2021]$$z9783030497279$$w(OCoLC)1198591962
001431737 830_0 $$aStudies in computational intelligence ;$$vv. 897.
001431737 852__ $$bebk
001431737 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-49728-6$$zOnline Access$$91397441.1
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001431737 980__ $$aBIB
001431737 980__ $$aEBOOK
001431737 982__ $$aEbook
001431737 983__ $$aOnline
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