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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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Cambridge University Press
2011-12-01
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| Serie: | Judgment and Decision Making |
| Soggetti: | |
| Accesso online: | http://journal.sjdm.org/11/m11/m11.pdf |
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