Construct · 1 fields · 1 citations

Bayesian sampler: a standalone construct

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Cognitive science

a model in which probability judgments come from a few mental samples adjusted toward a prior, which explains incoherent judgments.

In cognitive science, Bayesian sampler refers to a model in which probability judgments come from a few mental samples adjusted toward a prior, which explains incoherent judgments. This meaning comes from Zhu (2020) in Psychological Review.[1]

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Nearby constructs

model3 fields · 3 citationsjingle · one word, three constructs prior3 fields · 4 citationsjingle · one word, three constructs sampler1 fields · 2 citationsanchor · a standalone construct

References

Zhu, J., Sanborn, A. N., & Chater, N. (2020). The Bayesian sampler: Generic Bayesian inference causes incoherence in human probability judgments. Psychological Review, 127(5), 719-748. https://doi.org/10.1037/rev0000190

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