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Results: 412
Number of items: 412
  • Derks, K., de Swart, J., van Batenburg, P., Wagenmakers, E.-J., & Wetzels, R. (2021). Priors in a Bayesian audit: How integration of existing information into the prior distribution can improve audit transparency and efficiency. International Journal of Auditing, 25(3), 621-636. https://doi.org/10.1111/ijau.12240
  • Wagenmakers, E.-M. (2021). [Review of: A. Clayton (2021) Bernoulli’s Fallacy : Statistical Illogic and the Crisis of Modern Science]. Chance, 34(4), 37-38. https://doi.org/10.1080/09332480.2021.2003642
  • 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
    Gronau, Q. F., Raj, A. K. N., & Wagenmakers, E.-J. (2021). Informed Bayesian Inference for the A/B Test. Journal of Statistical Software, 100(17). https://doi.org/10.18637/jss.v100.i17
  • Open Access
    Verschuere, B., De Schryver, M., van den Bergh, D., Wagenmakers, E.-J., & Meijer, E. (2021). Are dishonest politicians more likely to be reelected? A Bayesian view. Proceedings of the National Academy of Sciences of the United States of America, 118(6), Article e2022718118. https://doi.org/10.1073/pnas.2022718118
  • Wagenmakers, E. J. (2021). Defiant Denial is Self-Defeating. Psychological Inquiry, 32(1), 12-16. https://doi.org/10.1080/1047840X.2021.1889314
  • Open Access
    Steingröver, H., Wabersich, D., & Wagenmakers, E.-J. (2021). Modeling Across-Trial Variability in the Wald Drift Rate Parameter. Behavior Research Methods, 53(3), 1060–1076. https://doi.org/10.3758/s13428-020-01448-7
  • 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
    Derks, K., de Swart, J., Wagenmakers, E.-J., Wille, J., & Wetzels, R. (2021). JASP for Audit: Bayesian Tools for the Auditing Practice. The Journal of Open Source Software, 6(68), Article 2733. https://doi.org/10.21105/joss.02733
  • 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
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