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Leonard Henckel
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Graphical criteria for efficient total effect estimation via adjustment in causal linear models
L Henckel, E Perković, MH Maathuis
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2022
892022
On efficient adjustment in causal graphs
J Witte, L Henckel, MH Maathuis, V Didelez
Journal of Machine Learning Research 21, 246, 2020
652020
Exploiting independent instruments: Identification and distribution generalization
S Saengkyongam, L Henckel, N Pfister, J Peters
International Conference on Machine Learning, 18935-18958, 2022
162022
pcalg: Methods for graphical models and causal inference
M Kalisch, A Hauser, M Maechler, D Colombo, D Entner, P Hoyer, ...
R Package retrieved from https://CRAN. R-project. org/package= pcalg, 2021
11*2021
Graphical tools for selecting conditional instrumental sets
L Henckel, M Buttenschoen, MH Maathuis
Biometrika, asad066, 2023
52023
A robustness test for estimating total effects with covariate adjustment
Z Su, L Henckel
Uncertainty in Artificial Intelligence, 1886-1895, 2022
22022
Profiling Compliers in Instrumental Variables Designs
D Hangartner, M Marbach, L Henckel, MH Maathuis, RR Kelz, L Keele
arXiv preprint arXiv:2103.06328, 2021
22021
Graphical Tools for Efficient Causal Effect Estimation
L Henckel
ETH Zurich, 2021
12021
Faithlessness in Gaussian graphical models
M Drton, L Henckel, B Hollering, P Misra
arXiv preprint arXiv:2404.05306, 2024
2024
Adjustment Identification Distance: A gadjid for Causal Structure Learning
L Henckel, T Würtzen, S Weichwald
arXiv preprint arXiv:2402.08616, 2024
2024
A Graphical Approach to Treatment Effect Estimation with Observational Network Data
ML Spohn, L Henckel, MH Maathuis
arXiv preprint arXiv:2312.02717, 2023
2023
Task-oriented performance metrics for structure learning
L Henckel
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Articles 1–12