| Beyond structural causal models: Causal constraints models T Blom, S Bongers, JM Mooij Proceedings of the 35th Annual Conference on Uncertainty in Artificial …, 2019 | 44* | 2019 |
| Causal modeling of dynamical systems S Bongers, T Blom, JM Mooij arXiv preprint arXiv:1803.08784, 2018 | 27 | 2018 |
| Conditional independences and causal relations implied by sets of equations T Blom, MM Van Diepen, JM Mooij Journal of Machine Learning Research 22 (178), 1-62, 2021 | 11 | 2021 |
| An upper bound for random measurement error in causal discovery T Blom, A Klimovskaia, S Magliacane, JM Mooij arXiv preprint arXiv:1810.07973, 2018 | 10 | 2018 |
| Causality and independence in perfectly adapted dynamical systems T Blom, JM Mooij Journal of Causal Inference 11 (1), 20210005, 2023 | 5 | 2023 |
| Top down stress testing: an application of adaptive lasso to forecasting credit loss rates T Blom | 5 | 2015 |
| Robustness of model predictions under extension T Blom, JM Mooij Uncertainty in Artificial Intelligence, 213-222, 2022 | 2 | 2022 |
| Causality and independence in perfectly adapted dynamical systems JM Mooij, T Blom | | 2023 |
| Causality and independence in systems of equations T Blom Tineke Blom, 2021 | | 2021 |
Joris M. MooijProfessor in Mathematical Statistics, Korteweg-de Vries Institute, University of Amsterdam (NL)在 uva.nl 的电子邮件经过验证
