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Results: 60
Number of items: 60
  • Open Access
    Ly, A., & Wagenmakers, E.-J. (2022). Measure-Theoretic Musings Cannot Salvage the Full Bayesian Significance Test as a Measure of Evidence. Computational Brain and Behavior, 5(4), 583-289. https://doi.org/10.1007/s42113-022-00154-1
  • Open Access
    Ly, A., & Wagenmakers, E.-J. (2022). A Critical Evaluation of the FBST ev for Bayesian Hypothesis Testing. Computational Brain and Behavior, 5(4), 564-571. https://doi.org/10.31234/osf.io/x9t6n, https://doi.org/10.1007/s42113-021-00109-y
  • Open Access
    Temp, A. G. M., Ly, A., van Doorn, J., Wagenmakers, E.-J., Tang, Y., Lutz, M. W., & Teipel, S. (2022). A Bayesian perspective on Biogen's aducanumab trial. Alzheimer's and Dementia, 18(11), 2341-2351. https://doi.org/10.1002/alz.12615
  • Open Access
    Ly, A., & Wagenmakers, E.-J. (2022). Bayes factors for peri-null hypotheses. Test, 31(4), 1121-1142. https://doi.org/10.1007/s11749-022-00819-w
  • 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
  • Weigard, A. S., Brislin, S. J., Cope, L. M., Hardee, J. E., Martz, M. E., Ly, A., Zucker, R. A., Sripada, C., & Heitzeg, M. M. (2021). Evidence accumulation and associated error-related brain activity as computationally-informed prospective predictors of substance use in emerging adulthood. Psychopharmacology, 238(9), 2629-2644. https://doi.org/10.1101/2020.03.06.981035, https://doi.org/10.1007/s00213-021-05885-w
  • Ly, A., van den Bergh, D., Bartoš, F., & Wagenmakers, E.-J. (2021). Bayesian inference with JASP. ISBA Bulletin, 28(1), 7-15. https://bayesian.org/wp-content/uploads/2021/03/2103.pdf
  • Open Access
    von den Bergh, D., Clyde, M. A., Gupta, A. R. K. N., de Jong, T., Gronau, Q. F., Marsman, M., Ly, A., & Wagenmakers, E.-J. (2021). A tutorial on Bayesian multi-model linear regression with BAS and JASP. Behavior Research Methods, 53(6), 2351-2371. https://doi.org/10.31234/osf.io/pqju6, https://doi.org/10.3758/s13428-021-01552-2
  • 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
    van den Bergh, D., Haaf, J. M., Ly, A., Rouder, J. N., & Wagenmakers, E.-J. (2021). A Cautionary Note on Estimating Effect Size. Advances in Methods and Practices in Psychological Science, 4(1). https://doi.org/10.31234/osf.io/h6pr8, https://doi.org/10.1177/2515245921992035
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