I am assistant professor at the Department of Psychological Methods and Statistics. I recieved my PhD (cum laude) in Mathematical Psychology in 2014 at the University of Amsterdam. My research focuses on formal models of response inhibition, multinomial processing tree models, and Bayesian inference. Currenlty I hold an Innovational Research Incentives Scheme Veni grant awarded by the NWO for the project "An integrated Bayesian framework for parameter estimation and hypothesis testing in process models of response inhibition."
- Matzke, D., Verbruggen, F., Logan, G. (in press). The stop-signal paradigm. Stevens' Handbook of Experimental Psychology and Cognitive Neuroscience, Fourth Edition, Volume Five: Methodology. John Wiley & Sons, Inc.
- Matzke, D., Love, J., & Heathcote, A. (2017). A Bayesian approach for estimating the probability of trigger failures in the stop-signal paradigm. Behavior Research Methods, 49, 267-281. doi:10.3758/s13428-015-0695-8.
- Vandekerckhove, J., Matzke, D., & Wagenmakers, E.-J. (2015). Model comparison and the principle of parsimony. In J. Busemeyer, J. Townsend, Z. J. Wang, & A. Eidels (Eds.), Oxford Handbook of Computational and Mathematical Psychology, pp. 300-319. Oxford: Oxford University Press.
- Matzke, D., Dolan, C.V, Batchelder, W.H., & Wagenmakers, E.-J. (2015). Bayesian estimation of multinomial processing tree models with heterogeneity in participants and items. Psychometrika, 80, 205-235.
- Matzke, D., Dolan, C.V, Logan, G.D., Brown, S.D., & Wagenmakers, E.-J. (2013). Bayesian parametric estimation of stop-signal reaction time distributions. Journal of Experimental Psychology: General, 142, 1047-1073.
- Matzke, D., & Wagenmakers, E.-J. (2009). Psychological interpretation of the ex-Gaussian and shifted Wald parameters: A diffusion model analysis. Psychonomic Bulletin & Review, 16, 798-817.
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