Search results
Results: 17
Number of items: 17
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Pawel, S., Aust, F., Held, L., & Wagenmakers, E.-J. (2024). Power priors for replication studies. Test, 33(1), 127-154. https://doi.org/10.1007/s11749-023-00888-5 -
Singmann, H., Heck, D. W., Barth, M., Erdfelder, E., Arnold, N. R., Aust, F., Calanchini, J., Gümüsdagli, F. E., Horn, S. S., Kellen, D., Klauer, K. C., Matzke, D., Meissner, F., Michalkiewicz, M., Schaper, M. L., Stahl, C., Kuhlmann, B. G., & Groß, J. (2024). Evaluating the Robustness of Parameter Estimates in Cognitive Models: A Meta-Analytic Review of Multinomial Processing Tree Models Across the Multiverse of Estimation Methods. Psychological Bulletin, 150(8), 965-1003. https://doi.org/10.1037/bul0000434
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Sarafoglou, A., Kuhlmann, B. G., Aust, F., & Haaf, J. M. (2024). Refining Bayesian hierarchical MPT modeling: Integrating prior knowledge and ordinal expectations. Behavior Research Methods, 56(7), 6557-6581. https://doi.org/10.3758/s13428-024-02370-y
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van den Bergh, D., Wagenmakers, E.-J., & Aust, F. (2023). Bayesian Repeated-Measures Analysis of Variance: An Updated Methodology Implemented in JASP. Advances in Methods and Practices in Psychological Science, 6(2). https://doi.org/10.1177/25152459231168024
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Sarafoglou, A., Aust, F., Marsman, M., Bartoš, F., Wagenmakers, E.-J., & Haaf, J. M. (2023). Multibridge: an R package to evaluate informed hypotheses in binomial and multinomial models. Behavior Research Methods, 55(8), 4343-4368. https://doi.org/10.3758/s13428-022-02020-1
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Pawel, S., Aust, F., Held, L., & Wagenmakers, E.-J. (2023). Normalized power priors always discount historical data. Stat, 12(1), Article e591. https://doi.org/10.1002/sta4.591
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Wang, Y., van den Bergh, D., Aust, F., Ly, A., Wagenmakers, E.-J., & Hu, C. (2023). 贝叶斯方差分析在JASP中的实现. Xin li ji shu yu ying yong = Psychology: Techniques and Application, 11(9), 528-541. https://doi.org/10.16842/j.cnki.issn2095-5588.2023.09.002
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van Doorn, J., Aust, F., Haaf, J. M., Stefan, A. M., & Wagenmakers, E.-J. (2023). Bayes Factors for Mixed Models: Perspective on Responses. Computational Brain and Behavior, 6(1), 127–139. https://doi.org/10.1007/s42113-022-00158-x
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van Doorn, J., Aust, F., Haaf, J. M., Stefan, A. M., & Wagenmakers, E.-J. (2023). Bayes Factors for Mixed Models. Computational Brain and Behavior, 6(1), 1–13. https://doi.org/10.1007/s42113-021-00113-2
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van Doorn, J., Haaf, J. M., Stefan, A. M., Wagenmakers, E.-J., Cox, G. E., Davis-Stober, C. P., Heathcote, A., Heck, D. W., Kalish, M., Kellen, D., Matzke, D., Morey, R. D., Nicenboim, B., van Ravenzwaaij, D., Rouder, J. N., Schad, D. J., Shiffrin, R. M., Singmann, H., Vasishth, S., ... Aust, F. (2023). Bayes Factors for Mixed Models: a Discussion. Computational Brain and Behavior, 6(1), 140–158. https://doi.org/10.1007/s42113-022-00160-3
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