| Probabilistic biases meet the Bayesian brain N Chater, JQ Zhu, J Spicer, J Sundh, P León-Villagrá, A Sanborn Current Directions in Psychological Science 29 (5), 506-512, 2020 | 51 | 2020 |
| The autocorrelated Bayesian sampler: A rational process for probability judgments, estimates, confidence intervals, choices, confidence judgments, and response times. JQ Zhu, J Sundh, J Spicer, N Chater, AN Sanborn Psychological review, 2023 | 11 | 2023 |
| Compound risk judgment in tasks with both idiosyncratic and systematic risk: The “Robust Beauty” of additive probability integration J Sundh, P Juslin Cognition 171, 25-41, 2018 | 9 | 2018 |
| Clarifying the relationship between coherence and accuracy in probability judgments JQ Zhu, PWS Newall, J Sundh, N Chater, AN Sanborn Cognition 223, 105022, 2022 | 8 | 2022 |
| A unified explanation of variability and bias in human probability judgments: How computational noise explains the mean–variance signature J Sundh, JQ Zhu, N Chater, AN Sanborn Journal of Experimental Psychology. General. 152 (10), 2842-2860, 2023 | 6* | 2023 |
| Precise/not precise (PNP): A Brunswikian model that uses judgment error distributions to identify cognitive processes J Sundh, A Collsiöö, P Millroth, P Juslin Psychonomic Bulletin & Review 28, 351-373, 2021 | 6 | 2021 |
| Sampling as the human approximation to probabilistic inference A Sanborn, JQ Zhu, J Spicer, J Sundh, P León-Villagrá, N Chater PsyArXiv, 2021 | 5 | 2021 |
| The Cognitive Basis of Joint Probability Judgments: Processes, Ecology, and Adaption J Sundh Acta Universitatis Upsaliensis, 2019 | 2 | 2019 |
| An introduction to psychologically plausible sampling schemes for approximating Bayesian inference JQ Zhu, N Chater, P León-Villagrá, J Spicer, J Sundh, A Sanborn Sampling in Judgment and Decision Making, 467, 2023 | 1 | 2023 |
| Unpacking Intuitive and Analytic Memory Sampling in Multiple-Cue Judgment A Collsiöö, J Sundh, P Juslin Cambridge University Press, 2023 | 1 | 2023 |
| Human Behavior in the Context of Low-Probability High-Impact Events J Sundh PsyArXiv, 2023 | | 2023 |
| Approximating Bayesian inference through internal sampling J Sundh, A Sanborn, JQ Zhu, J Spicer, P León-Villagrá, N Chater Cambridge University Press, 2023 | | 2023 |
| The Neglected Importance of Auxiliary Assumptions when Applying Probability Theory J Sundh PsyArXiv, 2023 | | 2023 |
| Approximation to Probabilistic A Sanborn, JQ Zhu, J Spicer, J Sundh Human-Like Machine Intelligence, 430, 2021 | | 2021 |
| Configurative Weighting as a Two-Plane Approximation of Bayesian Estimates. J Sundh, J Denrell CogSci, 2020 | | 2020 |
| How many instances come to mind when making probability estimates? J Sundh, JQ Zhu, N Chater, A Sanborn CogSci, 2020 | | 2020 |
| Poker Probability Estimation JQ Zhu, P Newall, A Sanborn, N Chater OSF, 2019 | | 2019 |
| Appreciation for Independence: Does Adaptation to Stochastic Dependence Imply Thinking According to Stochastic Principles? J Sundh, P Juslin, P Millroth | | 2019 |
| The Ecological Scopes of Cognitive Models for Joint Probability Judgment J Sundh | | 2019 |
| Cognitive Strategies When Integrating Mutually Dependent Probabilities J Sundh SPUDM 25 (Subjective Probability, Utility, and Decision Making Conference …, 2015 | | 2015 |
