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Results: 60
Number of items: 60
  • Open Access
    Ly, A. (2018). Bayes factors for research workers. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    van Doorn, J., Ly, A., Marsman, M., & Wagenmakers, E.-J. (2018). Bayesian Inference for Kendall's Rank Correlation Coefficient. American Statistician, 72(4), 303-308. https://doi.org/10.1080/00031305.2016.1264998
  • Keuken, M. C., Ly, A., Boekel, W., Wagenmakers, E.-M., Belay, L., Verhagen, J., Brown, S. D., & Forstmann, B. U. (2017). Corrigendum to “A purely confirmatory replication study of structural brain-behavior correlations” [Cortex 66 (2015) 115–133]. Cortex, 93, 229-233. https://doi.org/10.1016/j.cortex.2017.03.007
  • Wagenmakers, E.-J., Verhagen, J., Ly, A., Matzke, D., Steingroever, H., Rouder, J. N., & Morey, R. D. (2017). The need for Bayesian hypothesis testing in psychological science. In S. O. Lilienfeld, & I. D. Waldman (Eds.), Psychological Science under Scrutiny: Recent Challenges and Proposed Solutions (pp. 123-138). Wiley Blackwell. https://doi.org/10.1002/9781119095910.ch8
  • Open Access
    Jamil, T., Ly, A., Morey, R. D., Love, J., Marsman, M., & Wagenmakers, E.-J. (2017). Default “Gunel and Dickey” Bayes factors for contingency tables. Behavior Research Methods, 49(2), 638-652. https://doi.org/10.3758/s13428-016-0739-8
  • Open Access
    Jamil, T., Marsman, M., Ly, A., Morey, R. D., & Wagenmakers, E.-J. (2017). What Are the Odds? Modern Relevance and Bayes Factor Solutions for MacAlister’s Problem From the 1881 Educational Times. Educational and Psychological Measurement, 77(5), 819-830. https://doi.org/10.1177/0013164416667980
  • Open Access
    Gronau, Q. F., Sarafoglou, A., Matzke, D., Ly, A., Boehm, U., Marsman, M., Leslie, D. S., Forster, J. J., Wagenmakers, E.-M., & Steingroever, H. (2017). A tutorial on bridge sampling. Journal of Mathematical Psychology, 81, 80-97. https://doi.org/10.1016/j.jmp.2017.09.005
  • Open Access
    Matzke, D., Ly, A., Selker, R., Weeda, W. D., Scheibehenne, B., Lee, M. D., & Wagenmakers, E.-J. (2017). Bayesian inference for correlations in the presence of measurement error and estimation uncertainty. Collabra: Psychology, 3(1), Article 25. https://doi.org/10.1525/collabra.78
  • Open Access
    Dutilh, G., Vandekerckhove, J., Ly, A., Matzke, D., Pedroni, A., Frey, R., Rieskamp, J., & Wagenmakers, E.-J. (2017). A test of the diffusion model explanation for the worst performance rule using preregistration and blinding. Attention, Perception & Psychophysics, 79(3), 713-725. https://doi.org/10.3758/s13414-017-1304-y
  • Open Access
    Ly, A., Marsman, M., Verhagen, J., Grasman, R. P. P. P., & Wagenmakers, E.-M. (2017). A tutorial on Fisher information. Journal of Mathematical Psychology, 80, 40-55. https://doi.org/10.1016/j.jmp.2017.05.006
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