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Results: 412
Number of items: 412
  • Maier, M., Bartoš, F., & Wagenmakers, E.-J. (2023). Robust Bayesian meta-analysis: Addressing publication bias with model-averaging. Psychological Methods, 28(1), 107-122. https://doi.org/10.1037/met0000405
  • Open Access
    Bartoš, F., & Wagenmakers, E.-J. (2023). A general approximation to nested Bayes factors with informed priors. Stat, 12(1), Article e600. https://doi.org/10.1002/sta4.600
  • Open Access
    Bartoš, F., Maier, M., Shanks, D. R., Stanley, T. D., Sladekova, M., & Wagenmakers, E.-J. (2023). Meta-analyses in psychology often overestimate evidence for and size of effects. Royal Society Open Science, 10(7), Article 230224. https://doi.org/10.1098/rsos.230224
  • Open Access
    Sarafoglou, A., Haaf, J. M., Ly, A., Gronau, Q. F., Wagenmakers, E.-J., & Marsman, M. (2023). Evaluating Multinomial Order Restrictions With Bridge Sampling. Psychological Methods, 28(2), 322-338. https://doi.org/10.1037/met0000411
  • Hoogeveen, S., Sarafoglou, A., van Elk, M., & Wagenmakers, E.-J. (2023). Introducing the Many-Analysts Religion Project. Religion, Brain and Behavior, 13(3), 233-236. https://doi.org/10.1080/2153599X.2023.2254980
  • Open Access
    Stefan, A. M. (2023). Bayesian power. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    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
  • Open Access
    Dablander, F. (2023). Changing systems: Statistical, causal, and dynamical perspectives. [Thesis, fully internal, Universiteit van Amsterdam].
  • Forscher, P. S., Wagenmakers, E.-J., Coles, N. A., Silan, M. A., Dutra, N., Basnight-Brown, D., & IJzerman, H. (2023). The Benefits, Barriers, and Risks of Big-Team Science. Perspectives on Psychological Science, 18(3), 607-623. https://doi.org/10.1177/17456916221082970
  • Open Access
    Wagenmakers, E.-J., & Ly, A. (2023). History and nature of the Jeffreys–Lindley paradox. Archive for History of Exact Sciences, 77(1), 25-72. https://doi.org/10.1007/s00407-022-00298-3
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