Biases and Variability from Costly Bayesian Inference
When humans infer underlying probabilities from stochastic observations, they exhibit biases and variability that cannot be explained on the basis of sound, Bayesian manipulations of probability. This is especially salient when beliefs are updated as a function of sequential observations. We introdu...
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| Auteurs principaux: | , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI AG
2021-05-01
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| Collection: | Entropy |
| Sujets: | |
| Accès en ligne: | https://www.mdpi.com/1099-4300/23/5/603 |
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