University of Groningen
Optimal bounds, bounded optimality
Böhm, Udo
IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from it. Please check the document version below.
Document Version
Publisher's PDF, also known as Version of record
Publication date: 2018
Link to publication in University of Groningen/UMCG research database
Citation for published version (APA):
Böhm, U. (2018). Optimal bounds, bounded optimality: Models of impatience in decision-making. University of Groningen.
Copyright
Other than for strictly personal use, it is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license (like Creative Commons).
Take-down policy
If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.
Downloaded from the University of Groningen/UMCG research database (Pure): http://www.rug.nl/research/portal. For technical reasons the number of authors shown on this cover page is limited to 10 maximum.
Publications
Boehm, U., Hawkins, G.E., Brown, S., Van Rijn, H., & Wagenmakers, E.-J. (2016). Of monkeys and men: Impatience in perceptual decision-making. Psychonomic Bulletin & Review, 23 (3), 738-749. doi: 10.3758/s13423-015-0958-5
Boehm, U., Marsmann, M., Matzke, D., & Wagenmakers, E.-J. (submitted). On the importance of avoiding shortcuts in modelling hierarchical data.
Boehm, U., Annis, J., Frank, M. J., Hawkins, G. E., Heathcote, A., Kellen, D., Krypotos, A.-M., Lerche, V., Logan, G. D., Palmeri, T. J., Servant, M., Sing-mann, H., Van Ravenzwaaij, D., Wiecki, T. V., Starns, J. J., Voss, A., Matzke, D., & Wagenmakers, E.-J. (in preparation). Estimating between-trial variability parameters of the Drift Diffusion Model: Expert advice and recommendations. Boehm, U., Steingroever, H., & Wagenmakers, E.-J. (in press). Using Bayesian regression to test hypotheses about relationships between parameters and covari-ates in cognitive models. Behavior Research Methods
Boehm, U., Van Maanen, L., Evans, N., Brown, S., & Wagenmakers, E.-J. (in preparation). On the relationship between reward rate and dynamic decision cri-teria.
Boehm, U., Van Maanen, L., Forstmann, B., & Van Rijn, H. (2014). Trial-by-trial fluctuations in CNV amplitude reflect anticipatory adjustment of response cau-tion. NeuroImage, 96, 95-105. doi: 10.1016/
j.neuroimage.2014.03.063
Evans, N. J., Hawkins, G. E., Boehm, U., Wagenmakers, E.-J. & Brown, S. D. (submitted). The computations that support simple decision-making: A compar-ison between the diffusion and urgency-gating models.
Gronau, Q. F., Sarafoglou, A., Matzke, D., Ly, A., Boehm, U., Marsman, M., Leslie, D. S., Forster, J. J., Wagenmakers, E.-J., Steingroever, H. (in press). A
Publications
tutorial on bridge sampling. Journal of Mathematical Psychology.
Ly, A., Boehm, U., Heathcote, A., Turner, B. M. , Forstmann, B., Marsman, M., & Matzke, D. (in press). A flexible and efficient hierarchical Bayesian approach to the exploration of individual differences in cognitive-model-based neuroscience. Computational Models of Brain and Behavior.
Matzke, D., Boehm, U., & Vandekerckhove, J. (in press) Bayesian parameter estimation in nonstandard models. Psychonomic Bulletin & Review.
