APA (7th ed.) Citation

Sundh, J., Zhu, J., Chater, N., & Sanborn, A. (2023, October). A unified explanation of variability and bias in human probability judgments: How computational noise explains the mean-variance signature. Journal of experimental psychology. General. https://doi.org/10.1037/xge0001414

Chicago Style (17th ed.) Citation

Sundh, Joakim, Jian-Qiao Zhu, Nick Chater, and Adam Sanborn. "A Unified Explanation of Variability and Bias in Human Probability Judgments: How Computational Noise Explains the Mean-variance Signature." Journal of Experimental Psychology. General Oct. 2023. https://doi.org/10.1037/xge0001414.

MLA (9th ed.) Citation

Sundh, Joakim, et al. "A Unified Explanation of Variability and Bias in Human Probability Judgments: How Computational Noise Explains the Mean-variance Signature." Journal of Experimental Psychology. General, Oct. 2023, https://doi.org/10.1037/xge0001414.