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Results: 24
Number of items: 24
  • Open Access
    Boehm, U., Evans, N. J., Gronau, Q. F., Matzke, D., Wagenmakers, E.-J., & Heathcote, A. J. (2024). Inclusion Bayes Factors for Mixed Hierarchical Diffusion Decision Models. Psychological Methods, 29(4), 625-655. https://doi.org/10.31234/osf.io/45t2w, https://doi.org/10.1037/met0000582
  • Open Access
    Heck, D. W., Boehm, U., Böing-Messing, F., Bürkner, P.-C., Derks, K., Dienes, Z., Fu, Q., Gu, X., Karimova, D., Kiers, H. A. L., Klugkist, I., Kuiper, R. M., Lee, M. D., Leenders, R., Leplaa, H. J., Linde, M., Ly, A., Meijerink-Bosman, M., Moerbeek, M., ... Hoijtink, H. (2023). A Review of Applications of the Bayes Factor in Psychological Research. Psychological Methods, 28(3), 558-579. https://doi.org/10.31234/osf.io/cu43g, https://doi.org/10.1037/met0000454
  • Open Access
    Boehm, U., Cox, S., Gantner, G., & Stevenson, R. (2022). Efficient numerical approximation of a non-regular Fokker–Planck equation associated with first-passage time distributions. Bit : numerical mathematics , 62(4), 1355–1382 . https://doi.org/10.1007/s10543-022-00914-2
  • Open Access
    Heck, D. W., Boehm, U., Böing-Messing, F., Bürkner, P.-C., Derks, K., Dienes, Z., Fu, Q., Gu, X., Karimova, D., Kiers, H. A. L., Klugkist, I., Kuiper, R. M., Lee, M. D., Leenders, R., Leplaa, H. J., Linde, M., Ly, A., Meijerink-Bosman, M., Moerbeek, M., ... Hoijtink, H. (2022). A review of applications of the Bayes factor in psychological research. (v3 ed.) PsyArXiv. https://doi.org/10.31234/osf.io/cu43g
  • Open Access
    van Doorn, J., van den Bergh, D., Böhm, U., Dablander, F., Derks, K., Draws, T., Etz, A., Evans, N. J., Gronau, Q. F., Haaf, J. M., Hinne, M., Kucharský, Š., Ly, A., Marsman, M., Matzke, D., Komarlu Narendra Gupta, A. R., Sarafoglou, A., Stefan, A., Voelkel, J. G., & Wagenmakers, E.-J. (2021). The JASP guidelines for conducting and reporting a Bayesian analysis. Psychonomic Bulletin & Review, 28(3), 813–826. https://doi.org/10.3758/s13423-020-01798-5
  • Open Access
    Boehm, U., Matzke, D., Gretton, M., Castro, S., Cooper, J., Skinner, M., Strayer, D., & Heathcote, A. (2021). Real-time prediction of fluctuations in cognitive workload. Cognitive Research: Principles and Implications, 6, Article 30. https://doi.org/10.1186/s41235-021-00289-y
  • Open Access
    Manning, C., Wagenmakers, E.-J., Norcia, A. M., Scerif, G., & Böhm, U. (2021). Perceptual Decision-Making in Children: Age-Related Differences and EEG Correlates. Computational Brain & Behavior, 4(1), 53-69. https://doi.org/10.31234/osf.io/jwsmb, https://doi.org/10.1007/s42113-020-00087-7
  • Open Access
    Aczel, B., Szaszi, B., Nilsonne, G., van den Akker, O. R., Albers, C. J., van Assen, M. A., Bastiaansen, J. A., Benjamin, D., Boehm, U., Botvinik-Nezer, R., Bringmann, L. F., Busch, N. A., Caruyer, E., Cataldo, A. M., Cowan, N., Delios, A., van Dongen, N. N. N., Donkin, C., van Doorn, J. B., ... Wagenmakers, E.-J. (2021). Science Forum: Consensus-based guidance for conducting and reporting multi-analyst studies. eLife, 10, Article e72185. https://doi.org/10.7554/eLife.72185
  • Open Access
    Boehm, U., Cox, S., Gantner, G., & Stevenson, R. (2021). Fast solutions for the first-passage distribution of diffusion models with space-time-dependent drift functions and time-dependent boundaries. Journal of Mathematical Psychology, 105, Article 102613. https://doi.org/10.1016/j.jmp.2021.102613
  • Open Access
    Boehm, U., Marsman, M., van der Maas, H. L. J., & Maris, G. (2021). An Attention-Based Diffusion Model for Psychometric Analyses. Psychometrika, 86(4), 938-972. https://doi.org/10.1007/s11336-021-09783-0
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