Frieder Göppert
Eberhard Karls Universität Tübingen
Experimental Cognitive Science
Sand 6 / room F237
72076 Tübingen
Germany
E-Mail: frieder.goeppert (at) uni-tuebingen.de
Office hours: by appointment (please send me a short email)
Research interests
I am generally interested in statistics, machine learning and theory of science and their links to the field of cognitive science. Currently, I look at Bayesian methods and their limitations.
CV
I studied Cognitive Science here at the University of Tübingen. During my bachelor I worked as a student assistant for the statistics lecture in this group and subsequently wrote my bachelor thesis with Sascha on optimally combined classifiers. In my master thesis at the Theory of Machine Learning group I examined explanation methods for black box models. Since July 2022, I am pursuing a PhD in the Experimental Cognitive Science group.
References
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Meyen, S., Göppert, F., Alber, H., von Luxburg, U., & Franz, V. H. (2021). Specialists Outperform Generalists in Ensemble Classification. arXiv preprint https://arxiv.org/abs/2107.04381
Conferences
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Göppert, F., Meyen, S., & Franz, V. H. (2024, March 17–20). Relating Frequentist and Bayesian Hypothesis Tests Using Regions of Support [Poster]. 66th Tagung experimentell arbeitender Psycholog:innen (TeaP), Regensburg, Germany. https://www.teap.de/
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Göppert, F., Meyen, S., & Franz, V. H. (2023, March 26–29). Allowing for Indecisive Outcomes: A Fair Comparison of Equivalence Tests [Poster]. 65th Tagung experimentell arbeitender Psycholog:innen (TeaP), Trier, Germany. https://www.teap.de/