Search results
Results: 9
Number of items: 9
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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 -
van den Bergh, D., van Doorn, J., Marsman, M., Draws, T., van Kesteren, E.-J., Derks, K., Dablander, F., Gronau, Q. F., Kucharský, Š., Komarlu Narendra Gupta, A. R., Sarafoglou, A., Voelkel, J. G., Stefan, A., Ly, A., Hinne, M., Matzke, D., & Wagenmakers, E.-J. (2020). A Tutorial on Conducting and Interpreting a Bayesian ANOVA in JASP. Année Psychologique, 120(1), 73-96. https://doi.org/10.31234/osf.io/spreb, https://doi.org/10.3917/anpsy1.201.0073
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Deserno, M. K., Borsboom, D., Begeer, S., van Bork, R., Hinne, M., & Geurts, H. M. (2020). Highways to happiness for autistic adults? Perceived causal relations among clinicians. PLoS ONE, 15(12), Article e0243298. https://doi.org/10.1371/journal.pone.0243298 -
Ly, A., Stefan, A., van Doorn, J., Dablander, F., van den Bergh, D., Sarafoglou, A., Kucharský, S., Derks, K., Gronau, Q. F., Raj, A., Boehm, U., van Kesteren, E.-J., Hinne, M., Matzke, D., Marsman, M., & Wagenmakers, E.-J. (2020). The Bayesian Methodology of Sir Harold Jeffreys as a Practical Alternative to the P Value Hypothesis Test. Computational Brain & Behavior, 3(2), 153-161. https://doi.org/10.31234/osf.io/dhb7x, https://doi.org/10.1007/s42113-019-00070-x -
Hinne, M., Gronau, Q. F., van den Bergh, D., & Wagenmakers, E.-J. (2020). A Conceptual Introduction to Bayesian Model Averaging. Advances in Methods and Practices in Psychological Science, 3(2), 200-215. https://doi.org/10.31234/osf.io/wgb64, https://doi.org/10.1177/2515245919898657 -
Dijkstra, N., Hinne, M., Bosch, S. E., & van Gerven, M. A. J. (2019, November 7). Visual imagery strength and sensory ambiguity [Data set]. Radboud University. https://doi.org/10.34973/kv11-1t26
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Dablander, F., & Hinne, M. (2019). Node centrality measures are a poor substitute for causal inference. Scientific Reports, 9, Article 6846. https://doi.org/10.1038/s41598-019-43033-9 -
Ambrogioni, L., Güçlü, U., Güçlütürk, Y., Hinne, M., van Gerven, M., & Maris, E. (2019). Wasserstein Variational Inference. In S. Bengio, H. Wallach, H. Larochelle, K. Grauman, N. Cesa-Bianchi, & R. Garnett (Eds.), 32nd Conference on Neural Information Processing Systems 2018 : Montreal, Canada, 3-8 December 2018 (Vol. 4, pp. 2473-2482). (Advances in Neural Information Processing Systems; Vol. 31). Neural Information Processing Systems Foundation. https://papers.nips.cc/paper/7514-wasserstein-variational-inference
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