Publications

Here is a list of my academic publications:

Lüken, M., Garcia-Bernardo, J., Deb, S., Hafner, F., & Khosla, M. (2026). Population-scale network embeddings expose educational divides in network structure related to right-wing populist voting. Scientific Reports. https://doi.org/10.1038/s41598-026-56690-4

Mukhtarov, F., Gasper, D., Farrelly, M., Lüken, M., & Moodley, K. (2026). OECD’s methods of legitimation and self-authorisation in water governance. Water Alternatives, 19(1), 1–30.

Lüken, M., Heathcote, A., Kucharský, Š., Waldorp, L., & Radev, S. T. (2026). Generalization in neural posterior estimation: Case studies with the racing diffusion model (fy6kv_v2). PsyArXiv. https://doi.org/10.31234/osf.io/fy6kv_v2

Lüken, M., Radev, S. T., Waldorp, L., & Heathcote, A., PhD. (2026). Neural racing accumulator model estimation with lightweight monotonic flows (Bfsgr_v1). PsyArXiv. https://doi.org/10.31234/osf.io/bfsgr_v1

Pfadt, J. M., Bartoš, F., Godmann, H. R., Waaijers, M., Groot, L., Heo, I., Mensink, L., Nak, J., De Ruiter, J. P., Sarafoglou, A., Siepe, B. S., Arena, G., Akrong, E., Aust, F., van den Bergh, D., Brenner, W., Doekemeijer, R. A., Donzallaz, M. C., van Doorn, J., … Wagenmakers, E.-J. (2026). A methodological metamorphosis: The rapid rise of Bayesian inference and open science practices in psychology (ck3js_v2). PsyArXiv. https://doi.org/10.31234/osf.io/ck3js_v2

Lüken, M., Heathcote, A., Haaf, J. M., & Matzke, D. (2025). Parameter identifiability in evidence-accumulation models: The effect of error rates on the diffusion decision model and the linear ballistic accumulator. Psychonomic Bulletin & Review, 32(3), 1411–1424. https://doi.org/10.3758/s13423-024-02621-1

Lüken, M., Moodley, K., Viviani, E., Pipal, C., & Schumacher, G. (2024). MEXCA - A Simple and Robust Pipeline for Capturing Emotion Expressions in Faces, Vocalization, and Speech (56svb_v1). PsyArXiv. https://doi.org/10.31234/osf.io/56svb

Edenbrandt, A. K., Lagerkvist, C.-J., Lüken, M., & Orquin, J. L. (2022). Seen but not considered? Awareness and consideration in choice analysis. Journal of Choice Modelling, 45, 100375. https://doi.org/10.1016/j.jocm.2022.100375

Lüken, M., Kucharský, Š., & Visser, I. (2022). Characterising eye movement events with an unsupervised hidden Markov model. Journal of Eye Movement Research, 15(1), 1–29. https://doi.org/10.16910/jemr.15.1.4

Schoemann, M., Lüken, M., Grage, T., Kieslich, P. J., & Scherbaum, S. (2019). Validating mouse-tracking: How design factors influence action dynamics in intertemporal decision making. Behavior Research Methods, 51(5), 2356–2377. https://doi.org/10.3758/s13428-018-1179-4