Dr Bruno Nicenboim
Assistant Professor
TSHD: Tilburg School of Humanities and Digital Sciences
TSHD: Department of Cognitive Science and Artificial Intelligence
B.Nicenboim@tilburguniversity.edu
Room
D 108
Courses
- Bayesian Models of Cognitive Processes
- Statistics for Premasters DSS (Spring)
- Master thesis/Data Science in Action
- Bayesian Multilevel Models
Recent publications
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Computational mechanisms underlying latent value updating of unchosen…
Ben-Artzi, I., Kessler, Y., Nicenboim, B., & Shahar, N. (2023). Computational mechanisms underlying latent value updating of unchosen actions. Science Advances, 9(42), Article eadi2704. , -
Bayes Factors for Mixed Models: a Discussion
Doorn, J. V., Haaf, J. M., Stefan, A. M., Wagenmakers, E.-J., Cox, G. E., Davis-Stober, C. P., Heathcote, A., Heck, D. W., Kalish, M., Kellen, D., Matzke, D., Morey, R. D., Nicenboim, B., Ravenzwaaij, D. V., Rouder, J. N., Schad, D. J., Shiffrin, R. M., Singmann, H., Vasishth, S., ... Aust, F. (2023). Bayes Factors for Mixed Models: a Discussion. Computational Brain & Behavior, 6, 140-158. -
The CoFI Reader - A Continuous Flow of Information approach to modeli…
Nicenboim, B. (2023). The CoFI Reader: A Continuous Flow of Information approach to modeling reading. In MathPsych/ICCM/EMPG 2023 https://mathpsych.org/presentation/998 -
Sample size determination for bayesian hierarchical models commonly u…
Vasishth, S., Yadav, H., Schad, D. J., & Nicenboim, B. (2023). Sample size determination for bayesian hierarchical models commonly used in psycholinguistics. Computational Brain & Behavior, 6, 102-126. -
Modeling sonority in terms of pitch intelligibility with the nucleus …
Albert, A., & Nicenboim, B. (2022). Modeling sonority in terms of pitch intelligibility with the nucleus attraction principle. Cognitive Science, 46(7), 1-68. Article e13161.