Probabilistic inference: Task dependency and individual differences of probability weighting revealed by hierarchical Bayesian modelling

Probabilistic inference: Task dependency and individual differences of probability weighting revealed by hierarchical Bayesian modelling

Cognitive determinants of probabilistic inference were examined using hierarchical Bayesian modelling techniques. A classic urn-ball paradigm served as experimental strategy, involving a factorial two (prior probabilities) by two (likelihoods) design. Five computational models of cognitive processes...

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Bibliographic Details
Main Authors: Moritz eBoos, Caroline eSeer, Florian eLange, Bruno eKopp
Format: Article
Language:English
Published: Frontiers Media S.A. 2016-05-01
Series:Frontiers in Psychology
Subjects:
Prospect Theory
Bayesian inference
Probabilistic inference
probability weighting
Hierarchical Bayesian modelling
Online Access:http://journal.frontiersin.org/Journal/10.3389/fpsyg.2016.00755/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fpsyg.2016.00755/full

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