M.V. (Malte) Lüken
Faculty of Social and Behavioural Sciences
Programme group Psychological Methods
Area of expertise: Applied statistics, simulation-based inference, decision making
Visiting address
- Nieuwe Achtergracht 166
Postal address
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Postbus 15578
1001 NB Amsterdam
Contact details
Social media
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Profile
I am an external PhD student working on amortized Bayesian inference applied to computational models of decision making. My scientific background is in psychology with a focus on research methods and applied statistics. After graduating from the Research Master’s Psychology at the University of Amsterdam, I started working as a Research Software Engineer at the Netherlands eScience Center. I have experience in scientific programming and software engineering and also contributed to the open-source software JASP.
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Research
Research methods
- Baysian statistics
- Machine learning
- R
- Python
Current research methods
- Assessing the robustness of amortized Bayesian inference for evidence-accumulation models applied to different experimental designs: How does the design of response time experiments affect simulation-based Bayesian inference for computational models of decision making?
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Publications
2022
Lüken, M., Kucharský, S., & Visser, I. (2022). Characterising Eye Movement Events with an Unsupervised Hidden Markov Model. Journal of Eye Movement Research, 15(1), Article 4. Advance online publication. https://doi.org/10.16910/jemr.15.1.4 [details]
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Ancillary activities
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Netherlands eScience Center
Research Software Engineer
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Netherlands eScience Center
Lüken, M., Kucharský, S., & Visser, I. (2022). Characterising Eye Movement Events with an Unsupervised Hidden Markov Model. Journal of Eye Movement Research, 15(1), Article 4. Advance online publication.