| Bayesian inference for psychology. Part II: Example applications with JASP EJ Wagenmakers, J Love, M Marsman, T Jamil, A Ly, J Verhagen, ... Psychonomic bulletin & review 25, 58-76, 2018 | 1720 | 2018 |
| A tutorial on conducting and interpreting a Bayesian ANOVA in JASP D van den Bergh, J Van Doorn, M Marsman, T Draws, EJ Van Kesteren, ... L’Année psychologique 120 (1), 73-96, 2020 | 323 | 2020 |
| Exploratory mediation analysis with many potential mediators EJ van Kesteren, DL Oberski Structural Equation Modeling: A Multidisciplinary Journal 26 (5), 710-723, 2019 | 47 | 2019 |
| The Bayesian Methodology of Sir Harold Jeffreys as a Practical Alternative to the P Value Hypothesis Test A Ly, A Stefan, J van Doorn, F Dablander, D van den Bergh, A Sarafoglou, ... Computational Brain & Behavior 3, 153-161, 2020 | 39 | 2020 |
| Flexible extensions to structural equation models using computation graphs EJ van Kesteren, DL Oberski Structural Equation Modeling: A Multidisciplinary Journal 29 (2), 233-247, 2022 | 28* | 2022 |
| On text-based personality computing: Challenges and future directions Q Fang, A Giachanou, A Bagheri, L Boeschoten, EJ van Kesteren, ... Findings of the Association for Computational Linguistics: ACL 2023, 10861-10879, 2023 | 16 | 2023 |
| Exploratory factor analysis with structured residuals for brain network data EJ Van Kesteren, RA Kievit Network Neuroscience 5 (1), 1-27, 2021 | 16 | 2021 |
| Bayesian analysis of Formula One race results: disentangling driver skill and constructor advantage EJ van Kesteren, T Bergkamp Journal of quantitative analysis in sports 19 (4), 273-293, 2023 | 12 | 2023 |
| Achieving fair inference using error-prone outcomes L Boeschoten, EJ van Kesteren, A Bagheri, DL Oberski International Journal of Interactive Multimedia and Artificial Intelligence …, 2021 | 8* | 2021 |
| Open data work for empowered deliberative democracy: Findings from a living lab study E Ruijer, C Dymanus, EJ van Kesteren, L Boeschoten, A Meijer Government Information Quarterly 41 (1), 101902, 2024 | 4 | 2024 |
| Privacy-preserving generalized linear models using distributed block coordinate descent EJ van Kesteren, C Sun, DL Oberski, M Dumontier, L Ippel arXiv preprint arXiv:1911.03183, 2019 | 4 | 2019 |
| To democratize research with sensitive data, we should make synthetic data more accessible EJ van Kesteren Patterns 5 (9), 1-4, 2024 | 3 | 2024 |
| Sustainable Decision Making: Non-Monetary Incentives for Pro-Social Behavior in the Energy Sector S Rosenkranz, K Muehlfeld, G Laan, GU Weitzel Den Haag: Dutch ministry of economic affairs, 2013 | 3 | 2013 |
| Hyperarousal dynamics reveal an overnight increase boosted by insomnia L Rösler, EJ van Kesteren, J Leerssen, G van der Lande, ... Journal of Psychiatric Research 179, 279-285, 2024 | 2 | 2024 |
| Structural Equations with Latent Variables: Computational Solutions for Modern Data Problems EJ van Kesteren Utrecht University, 2021 | 2 | 2021 |
| Community detection in bipartite signed networks is highly dependent on parameter choice E Candellone, EJ van Kesteren, S Chelmi, J Garcia-Bernardo arXiv preprint arXiv:2405.08203, 2024 | 1 | 2024 |
| Metasyn: Transparent Generation of Synthetic Tabular Data with Privacy Guarantees R Schram, S Spithorst, EJ van Kesteren Journal of Open Source Software 10 (105), 7099, 2025 | | 2025 |
| A density ratio framework for evaluating the utility of synthetic data TB Volker, PP de Wolf, EJ van Kesteren arXiv preprint arXiv:2408.13167, 2024 | | 2024 |
| The Effects of Poverty on Maternal and Child Perinatal Health: A Population-Based Study N Ali, MI van den Heuvel, EJ van Kesteren, J Garcia-Bernardo, M Benders, ... OSF, 2024 | | 2024 |
| Assessing the Utility of Synthetic Data: A Density Ratio Perspective TB Volker, PP de Wolf, EJ van Kesteren UNECE Expert Meeting on Statistical Data Confidentiality, 2023 | | 2023 |
Daniel L. OberskiUtrecht University / University Medical Center Utrecht, The NetherlandsVerified email at uu.nl
