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Using hierarchical Bayesian methods to examine the tools of decision-making

Hierarchical Bayesian methods offer a principled and comprehensive way to relate psychological models to data. Here we use them to model the patterns of information search, stopping and deciding in a simulated binary comparison judgment task. The simulation involves 20 subjects making 100 forced cho...

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Detalles Bibliográficos
Principais autores: Michael D. Lee, Benjamin R. Newell, Andreas Glöckner, Benjamin E. Hilbig
Formato: Artigo
Idioma:Inglês
Publicado: Cambridge University Press 2011-12-01
Series:Judgment and Decision Making
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Acceso en liña:https://www.cambridge.org/core/product/identifier/S1930297500004253/type/journal_article
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