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Approximating Bayesian inference through internal sampling

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Sundh, Joakim, Sanborn, Adam N., Zhu, Jian-Qiao, Spicer, Jake, León-Villagrá, Pablo and Chater, Nick (2023) Approximating Bayesian inference through internal sampling. In: Fiedler, Klaus and Juslin, Peter and Denrell, Jerker, (eds.) Sampling in Judgment and Decision Making. Cambridge University Press. ISBN 9781009002042 (In Press)

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Official URL: https://www.cambridge.org/core/books/sampling-in-j...

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Item Type: Book Item
Subjects: B Philosophy. Psychology. Religion > BF Psychology
Q Science > QA Mathematics
Divisions: Faculty of Social Sciences > Warwick Business School > Behavioural Science
Faculty of Science, Engineering and Medicine > Science > Psychology
Faculty of Social Sciences > Warwick Business School
Library of Congress Subject Headings (LCSH): Bayesian statistical decision theory, Cognitive science, Sampling (Statistics), Reason, Cognition, Selectivity (Psychology)
Publisher: Cambridge University Press
ISBN: 9781009002042
Book Title: Sampling in Judgment and Decision Making
Editor: Fiedler, Klaus and Juslin, Peter and Denrell, Jerker
Official Date: 2023
Dates:
DateEvent
2023Published
28 February 2023Available
3 January 2022Accepted
Status: Peer Reviewed
Publication Status: In Press
Reuse Statement (publisher, data, author rights): This material has been published in Sampling in Judgment and Decision Making edited by Klaus Fiedler, Peter Juslin and Jerker Denrell. This version is free to view and download for personal use only. Not for re-distribution, re-sale or use in derivative works. © insertcopyright holder.”
Access rights to Published version: Restricted or Subscription Access
Date of first compliant deposit: 5 January 2022
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
817492-SAMPLINGEuropean Research Councilhttp://dx.doi.org/10.13039/501100000781

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