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Results: 33
Number of items: 33
  • Open Access
    Maier, M., Bartoš, F., Quintana, D. S., Dablander, F., van den Bergh, D., Marsman, M., Ly, A., & Wagenmakers, E. M. (2025). Model-Averaged Bayesian t-Tests. Psychonomic Bulletin & Review, 32(3), 1007–1031. https://doi.org/10.3758/s13423-024-02590-5
  • Open Access
    Ott, V. L., van den Bergh, D., Boutin, B., van Doorn, J., Bartoš, F., Judd, N., van Langen, J., Korthals, L., Kievit, R., Groot, L., & Wagenmakers, E.-J. (2025). Informative data visualization with raincloud plots in JASP. Behavior Research Methods, 57(9), Article 265. https://doi.org/10.3758/s13428-025-02773-5
  • Open Access
    Marsman, M., van den Bergh, D., & Haslbeck, J. M. B. (2025). Bayesian Analysis of the Ordinal Markov Random Field. Psychometrika, 90(1), 146-182. https://doi.org/10.1017/psy.2024.4
  • Open Access
    van den Bergh, D., Douw, L., van der Pal, Z., Blanken, T. F., Schrantee, A., & Marsman, M. (2025). Jointly estimating individual and group networks from fMRI data. Network Neuroscience, 9(3), 896–912. https://doi.org/10.1162/netn_a_00457
  • 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
    Dablander, F., van den Bergh, D., Ly, A., & Wagenmakers, E. M. (2024). Default Bayes Factors for Testing the (In)equality of Several Population Variances. Bayesian Analysis, 19(3), 699-723. https://doi.org/10.48550/arXiv.2003.06278, https://doi.org/10.1214/23-BA1369
  • 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
    van den Bergh, D. (2024). Embracing uncertainty in multi-step inference. [Thesis, fully internal, Universiteit van Amsterdam].
  • 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
    Huth, K. B. S., Keetelaar, S., Sekulovski, N., van den Bergh, D., & Marsman, M. (2024). Simplifying Bayesian analysis of graphical models for the social sciences with easybgm: A user-friendly R-package. Advances.in/psychology, 2, Article e66366. https://doi.org/10.56296/aip00010
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