| Hyperparameter tuning and model evaluation in causal effect estimation D Machlanski, S Samothrakis, P Clarke arXiv preprint arXiv:2303.01412, 2023 | 15 | 2023 |
| Assessing the robustness of sisVIVE in a Mendelian randomization study to estimate the causal effect of body mass index on income using multiple SNPs from understanding society Y Bao, PS Clarke, M Smart, M Kumari Statistics in medicine 38 (9), 1529-1542, 2019 | 5 | 2019 |
| Modeling within-household associations in household panel studies F Steele, PS Clarke, J Kuha The Annals of Applied Statistics 13 (1), 367-392, 2019 | 5 | 2019 |
| Robustness of Algorithms for Causal Structure Learning to Hyperparameter Choice D Machlanski, S Samothrakis, PS Clarke Causal Learning and Reasoning, 703-739, 2024 | 2 | 2024 |
| Double Machine Learning for Static Panel Models with Fixed Effects P Clarke, A Polselli arXiv preprint arXiv.2312.08174, 1-30, 2023 | 2 | 2023 |
| Undersmoothing Causal Estimators with Generative Trees D Machlanski, S Samothrakis, P Clarke arXiv preprint arXiv:2203.08570, 2022 | 2 | 2022 |
| Estimating mode effects from a sequential mixed-mode experiment using structural moment models PS Clarke, Y Bao The Annals of Applied Statistics 16 (3), 1563-1585, 2022 | 1 | 2022 |
Damian MachlanskiResearch Associate in Causal AI, CHAI, University of Edinburgh在 ed.ac.uk 的电子邮件经过验证
