Dissecting Bayes: Using influence measures to test normative use of probability density information derived from a sample
Bayesian decision theory (BDT) is frequently used to model normative performance in perceptual, motor, and cognitive decision tasks where the possible outcomes of actions are associated with rewards or penalties. The resulting normative models specify how decision makers should encode and combine in...
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Veröffentlicht in: | PLoS computational biology 2024-05, Vol.20 (5), p.e1011999-e1011999 |
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