Joakim Sundh

Uppsala University — Sweden

Decision Sciences · Social Sciences

7h-index165citations35works1.02yr avg
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Research Topics

Decision-Making and Behavioral Economics(18), Bayesian Modeling and Causal Inference(10), Child and Animal Learning Development(4), Forecasting Techniques and Applications(4), Philosophy and History of Science(3)

Publications35 total

The role of intuitive monitoring and control of analytic calculations in the bat-and-ball problem
Thinking & Reasoning·2026Open Access
Modelling Probability Judgements that Violate Binary Complementarity (Familiar Situation Check)
Open Science Framework·2026Open Access
Enriching Psychological Research by Exploring the Source and Nature of Noise
Perspectives on Psychological Science·2025· 2 citedOpen Access
Modelling Probability Judgements that Violate Binary Complementarity
SSRN Electronic Journal·2025Open Access
Modelling Probability Judgements that Violate Binary Complementarity
2024Open Access
Human behavior in the context of low-probability high-impact events
Humanities and Social Sciences Communications·2024· 10 citedOpen Access
Poker Probability Estimation
OSF Preprints (OSF Preprints)·2024Open Access
Kahneman in quotes and reflections
2024Open Access
Kahneman in quotes and reflections
2024Open Access
Kahneman in Quotes and Reflections
Psychological Inquiry·2024Open Access
Not Intuition, Just Faulty Analysis: Interactions between Intuition, Analysis, and Contextual Cues in the Bat-and-Ball Problemnot Intuition, Just Faulty Analysis: Interactions between Intuition, Analysis, and Contextual Cues in the Bat-and-Ball Problem
SSRN Electronic Journal·2024Open Access
Exploring rationality of prospect choices among decision-makers in a population
IFAC-PapersOnLine·2024Open Access
Human Behavior in the Context of Low-Probability High-Impact Events
2023· 1 citedOpen Access
The autocorrelated Bayesian sampler: A rational process for probability judgments, estimates, confidence intervals, choices, confidence judgments, and response times.
Psychological Review·2023· 16 citedOpen Access
The Autocorrelated Bayesian Sampler: A Rational Process for Probability Judgments, Estimates, Confidence Intervals, Choices, Confidence Judgments, and Response Times
OSF Preprints (OSF Preprints)·2023
An Introduction to Psychologically Plausible Sampling Schemes for Approximating Bayesian Inference
Cambridge University Press eBooks·2023· 2 cited
Unpacking Intuitive and Analytic Memory Sampling in Multiple-Cue Judgment
Cambridge University Press eBooks·2023· 5 cited
Approximating Bayesian Inference through Internal Sampling
Cambridge University Press eBooks·2023
A unified explanation of variability and bias in human probability judgments: How computational noise explains the mean–variance signature.
Journal of Experimental Psychology General·2023· 11 citedOpen Access
The Neglected Importance of Auxiliary Assumptions when Applying Probability Theory
2023Open Access
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Frequent Co-authors

Jian-Qiao Zhu(13), Adam N. Sanborn(13), Nick Chater(12), Jake Spicer(7), Peter Juslin(7), Pablo León-Villagrá(5), August Collsiöö(5), Philip Millroth(3), Brett Buttliere(3), Alexiοs Arvanitis(3), Uriel Haran(3), Ángela Jiang-Wang(3), Qiao Kang Teo(3), Vojtěch Kotrba(3), Chengwei Liu(3), David R. Mandel(3), Gordon Pennycook(3), Tobias R. Rebholz(3), Michael Schulte‐Mecklenbeck(3), Norbert Schwarz(3)