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Bayesian Distributional Models of Executive Functioning
ref [16] · 2510.00387 · notice #8400 · dispute
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https://doi.org/10.3758/s13414-017-1460-0 Song, X. D., Wallace, B. M., Gardner, J. R., Ledbetter, N. M., Weinberger, K. Q., & Barbour, D. L. (2015). Fast, Continuous Audiogram Estimation Using Machine Learning. Ear and Hearing, 36(6), e326-335. https://doi.org/10.1097/AUD.0000000000000186 Twinomurinzi, H., Myburgh, H., & Barbour, D. L. (2024). Active transfer learning for audiogram estimation. Frontiers in Digital Health, 6, 1267799. Veenman, M., Stefan, A. M., & Haaf, J. M. (2024). Bayesian hierarchical modeling: An introduction and reassessment. Behavior Research Methods, 56(5), 4600–4631. https://doi.org/10.3758/s13428-023-02204-3 Younger, J. W., O’Laughlin, K. D., Anguera, J. A., Bunge, S. A., Ferrer, E. E., Hoeft, F., McCandliss, B. D., Mishra, J., Rosenberg-Lee, M., Gazzaley, A., & Uncapher, M. R. (2023). Frontiers | Better together: Novel methods for measuring and modeling development of executive function diversity while accounting for unity