| 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 | 1562 | 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 | 266 | 2020 |
| Exploratory mediation analysis with many potential mediators EJ van Kesteren, DL Oberski Structural Equation Modeling: A Multidisciplinary Journal 26 (5), 710-723, 2019 | 41 | 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 | 31 | 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 | 23* | 2022 |
| Exploratory factor analysis with structured residuals for brain network data EJ Van Kesteren, RA Kievit Network Neuroscience 5 (1), 1-27, 2021 | 15 | 2021 |
| On text-based personality computing: Challenges and future directions Q Fang, A Giachanou, A Bagheri, L Boeschoten, EJ van Kesteren, ... arXiv preprint arXiv:2212.06711, 2022 | 9 | 2022 |
| 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 | 7* | 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 | 6 | 2023 |
| 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 | 3 | 2019 |
| 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 |
| Structural Equations with Latent Variables: Computational Solutions for Modern Data Problems EJ van Kesteren Utrecht University, 2021 | 1 | 2021 |
| To democratize research with sensitive data, we should make synthetic data more accessible EJ van Kesteren arXiv preprint arXiv:2404.17271, 2024 | | 2024 |
| 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 | | 2024 |
| Correcting inferences for volunteer-collected data with geospatial sampling bias P Lugtig, EJ van Kesteren, A Timmers arXiv preprint arXiv:2209.04193, 2022 | | 2022 |
| Assessing the Utility of Synthetic Data: A Density Ratio Perspective TB Volker, PP de Wolf, EJ van Kesteren | | |
Daniel L. OberskiUtrecht University / University Medical Center Utrecht, The NetherlandsAdresse e-mail validée de uu.nl
