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Results: 412
Number of items: 412
  • Open Access
    Bork, R. V., Romeijn, J. W., & Wagenmakers, E. J. (2025). Simplicity in Bayesian nested-model comparisons: Popper’s disagreement with Wrinch and Jeffreys revisited. Synthese, 206(4), Article 202. https://doi.org/10.1007/s11229-025-05286-y
  • Open Access
    Derks, K., de Swart, J., Wagenmakers, E. J., & Wetzels, R. (2025). The Bayesian Approach to Audit Evidence: Quantifying Statistical Evidence Using the Bayes Factor. Auditing, 44(1), 55-71. https://doi.org/10.2308/AJPT-2021-086
  • Open Access
    Dubova, M., Chandramouli, S., Gigerenzer, G., Grünwald, P., Holmes, W., Lombrozo, T., Marelli, M., Musslick, S., Nicenboim, B., Ross, L. N., Shiffrin, R., White, M., Wagenmakers, E.-J., Bürkner, P.-C., & Sloman, S. J. (2025). Is Ockham's razor losing its edge? New perspectives on the principle of model parsimony. Proceedings of the National Academy of Sciences, 122(5), Article e2401230121. https://doi.org/10.1073/pnas.2401230121
  • Open Access
    Sandoval-Lentisco, A., Tortajada, M., López-Nicolás, R., López-López, J. A., Wagenmakers, E. J., Sánchez-Meca, J., & Hardwicke, T. E. (2025). Preregistration of Psychology Meta-Analyses: A Cross-Sectional Study of Prevalence and Practice. Advances in Methods and Practices in Psychological Science, 8(1). https://doi.org/10.1177/25152459241300113
  • Open Access
    Hoogeveen, S., Borsboom, D., Kucharský, Š., Marsman, M., Molenaar, D., de Ron, J., Sekulovski, N., Visser, I., van Elk, M., & Wagenmakers, E.-J. (2024). Prevalence, patterns and predictors of paranormal beliefs in The Netherlands: a several-analysts approach. Royal Society Open Science, 11(9), Article 240049. https://doi.org/10.1098/rsos.240049
  • Open Access
    van den Bergh, D., Schuringa, E., & Wagenmakers, E.-M. (2024). Augmenting Predictive Models in Forensic Psychiatry with Cultural Consensus Theory. Journal of the Royal Statistical Society. Series C: Applied Statistics, 73(1), 540-556. https://doi.org/10.1093/jrsssc/qlad109
  • Open Access
    Sarafoglou, A., Hoogeveen, S., van den Bergh, D., Aczel, B., Albers, C. J., Althoff, T., Botvinik-Nezer, R., Busch, N. A., Cataldo, A. M., Devezer, B., van Dongen, N. N. N., Dreber, A., Fried, E. I., Hoekstra, R., Hoffman, S., Holzmeister, F., Huber, J., Huntington-Klein, N., Ioannidis, J., ... Wagenmakers, E.-J. (2024). Subjective evidence evaluation survey for many-analysts studies. Royal Society Open Science, 11(7), Article 240125. https://doi.org/10.1098/rsos.240125
  • Open Access
    Sekulovski, N., Keetelaar, S., Huth, K., Wagenmakers, E.-J., van Bork, R., van den Bergh, D., & Marsman, M. (2024). Testing Conditional Independence in Psychometric Networks: An Analysis of Three Bayesian Methods. Multivariate Behavioral Research, 59(5), 913-933. https://doi.org/10.1080/00273171.2024.2345915
  • Open Access
    Visser, I., Kucharský, Š., Levelt, C., Stefan, A. M., Wagenmakers, E.-J., & Oakes, L. (2024). Bayesian sample size planning for developmental studies. Infant and Child Development, 33, Article e2412. https://doi.org/10.1002/icd.2412
  • Open Access
    Berkhout, S. W., Haaf, J. M., Gronau, Q. F., Heck, D. W., & Wagenmakers, E.-J. (2024). A tutorial on Bayesian model-averaged meta-analysis in JASP. Behavior Research Methods, 56(3), 1260-1282. https://doi.org/10.3758/s13428-023-02093-6
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