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Joakim Sundh

Showing results (1-10 of 6) with videos related to

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Cognition|November 6, 2017
Compound risk judgment in tasks with both idiosyncratic and systematic risk: The "Robust Beauty" of additive probability integrationJoakim Sundh, Peter Juslin
Psychonomic Bulletin & Review|September 29, 2020
Precise/not precise (PNP): A Brunswikian model that uses judgment error distributions to identify cognitive processesJoakim Sundh, August Collsiöö, Philip Millroth, et al.
Perspectives on Psychological Science : a Journal of the Association for Psychological Science|March 4, 2025
Enriching Psychological Research by Exploring the Source and Nature of NoiseJoakim Sundh, Philip Millroth, August Collsiöö, et al.
Journal of Experimental Psychology. General|May 18, 2023
A unified explanation of variability and bias in human probability judgments: How computational noise explains the mean-variance signatureJoakim Sundh, Jian-Qiao Zhu, Nick Chater, et al.
Psychological Review|June 8, 2023
The autocorrelated Bayesian sampler: A rational process for probability judgments, estimates, confidence intervals, choices, confidence judgments, and response timesJian-Qiao Zhu, Joakim Sundh, Jake Spicer, et al.
Cognition|January 25, 2022
Clarifying the relationship between coherence and accuracy in probability judgmentsJian-Qiao Zhu, Philip W S Newall, Joakim Sundh, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Cognition|November 6, 2017
Compound risk judgment in tasks with both idiosyncratic and systematic risk: The "Robust Beauty" of additive probability integrationJoakim Sundh, Peter Juslin
Psychonomic Bulletin & Review|September 29, 2020
Precise/not precise (PNP): A Brunswikian model that uses judgment error distributions to identify cognitive processesJoakim Sundh, August Collsiöö, Philip Millroth, et al.
Perspectives on Psychological Science : a Journal of the Association for Psychological Science|March 4, 2025
Enriching Psychological Research by Exploring the Source and Nature of NoiseJoakim Sundh, Philip Millroth, August Collsiöö, et al.
Journal of Experimental Psychology. General|May 18, 2023
A unified explanation of variability and bias in human probability judgments: How computational noise explains the mean-variance signatureJoakim Sundh, Jian-Qiao Zhu, Nick Chater, et al.
Psychological Review|June 8, 2023
The autocorrelated Bayesian sampler: A rational process for probability judgments, estimates, confidence intervals, choices, confidence judgments, and response timesJian-Qiao Zhu, Joakim Sundh, Jake Spicer, et al.
Cognition|January 25, 2022
Clarifying the relationship between coherence and accuracy in probability judgmentsJian-Qiao Zhu, Philip W S Newall, Joakim Sundh, et al.
Pageof 1