Publications
2025
Scholarly publications
Candellone, E., Kesteren, E.-J. V., Chelmi, S., & Garcia-Bernardo, J. (2025). Community detection in bipartite signed networks is highly dependent on parameter choice. Advances in Complex Systems, 28(03), Article 2540002. [DOI]
2024
Scholarly publications
Candellone, E., Kesteren, E.-J. V., Chelmi, S., & Garcia-Bernardo, J. (2024). Community detection in bipartite signed networks is highly dependent on parameter choice. arXiv. [Repository]
Ruijer, E., Dymanus, C., van Kesteren, E. J., Boeschoten, L., & Meijer, A. (2024). Open data work for empowered deliberative democracy: Findings from a living lab study. Government Information Quarterly, 41(1), Article 101902. [DOI] [Repository]
2023
Scholarly publications
Fang, Q., Giachanou, A., Bagheri, A., Boeschoten, L., van Kesteren, E. J., Kamalabad, M. S., & Oberski, D. L. (2023). On Text-based Personality Computing: Challenges and Future Directions. In Findings of the Association for Computational Linguistics, ACL 2023 (pp. 10861-10879). (Proceedings of the Annual Meeting of the Association for Computational Linguistics). Association for Computational Linguistics. [DOI] [Repository]
2022
Scholarly publications
Schram, R., Garcia Bernardo, J., van Kesteren, E.-J., de Bruin, J., & Stamkou, E. (2022). ArtScraper: A Python library to scrape online artworks. Software http://zenodo.org/record/7129975
Kesteren, EJ. V., & Oberski, D. L. (2022). Flexible Extensions to Structural Equation Models Using Computation Graphs. Structural Equation Modeling, 29(2), 233-247. [DOI] [Repository]
2021
Scholarly publications
Boeschoten, L., van Kesteren, E.-J., Bagheri, A., & Oberski, D. L. (2021). Achieving Fair Inference Using Error-Prone Outcomes. International Journal of Interactive Multimedia and Artificial Intelligence, 6(5), 9-15. [DOI] [Repository]
van Kesteren, E.-J., Vida, L. J., de Bruin, J., & Oberski, D. (2021). osmenrich - Enrich sf Data with Geographic Features from OpenStreetMaps. Software [DOI]
2020
Scholarly publications
van den Bergh, D., Van Doorn, J., Marsman, M., Draws, T., Van Kesteren, E.-J., Derks, K., Dablander, F., Gronau, Q. F., Kucharsk, S., Gupta, A. R. K. N., Sarafoglou, A., Voelkel, J. G., Stefan, A., Ly, A., Hinne, M., Matzke, D., & Wagenmakers, E.-J. (2020). A Tutorial on Conducting and Interpreting a Bayesian ANOVA in JASP. Annee Psychologique, 120(1), 73-96. https://shs.cairn.info/journal-l-annee-psychologique-2020-1-page-73?lang=en [Portal]
Boeschoten, L., van Kesteren, E., Bagheri, A., & Oberski, D. L. (2020). Fair inference on error-prone outcomes. (pp. 1-14). arXiv. [DOI] [Repository]
van Kesteren, E., & Kievit, R. A. (2020). Exploratory factor analysis with structured residuals for brain network data. Network Neuroscience, 1-27. [DOI] [Repository]
2019
Scholarly publications
van Kesteren, E.-J., Sun, C., Oberski, D. L., Dumontier, M., & Ippel, L. (2019). Privacy-Preserving Generalized Linear Models using Distributed Block Coordinate Descent. arXiv. [DOI] [Repository]
van Kesteren, E. J., & Oberski, D. L. (2019). Exploratory Mediation Analysis with Many Potential Mediators. Structural Equation Modeling, 26(5), 710-723. [DOI] [Repository]
2018
Scholarly publications
Wagenmakers, E.-J., Love, J., Marsman, M., Jamil, T., Ly, A., Verhagen, J., Selker, R., Gronau, Q. F., Dropmann, D., Boutin, B., Meerhoff, F., Knight, P., Raj, A., van Kesteren, E.-J., van Doorn, J., Smira, M., Epskamp, S., Etz, A., Matzke, D., ... Morey, R. D. (2018). Bayesian inference for psychology. Part II: Example applications with JASP. Psychonomic bulletin & review, 25(1), 58-76. [DOI]