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[null,"1.","Record Nr.",null,"UNINA9910484560003321"]
[null,null,"Titolo",null,"Behavioral Predictive Modeling in Economics / / edited by Songsak Sriboonchitta, Vladik Kreinovich, Woraphon Yamaka"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021"]
[null,null,"ISBN",null,"3-030-49728-3"]
[null,null,"Edizione",null,"[1st ed. 2021.]"]
[null,null,"Descrizione fisica",null,"1 online resource (445 pages)"]
[null,null,"Collana",null,"Studies in Computational Intelligence, , 1860-9503 ; ; 897"]
[null,null,"Disciplina",null,"330.015195"]
[null,null,"Soggetti",null,"Computational intelligence"]
[{"$nulls":4},"Econometrics"]
[{"$nulls":4},"Computational Intelligence"]
[{"$nulls":4},"Quantitative Economics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Introduction -- Behavioral Predictive Modeling in Economics -- Conclusion."]
[null,null,null,"Sommario/riassunto","This 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. ."]