Predicting the effect of interventions using invariance principles for nonlinear models

By Christina Heinze-Deml. 2016

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Nicolai Meinshausen
2. Peter Buhlmann
3. Jelle J. Goeman
4. Cun-Hui Zhang
5. Sara A. van de Geer
6. Martin J. Wainwright
7. Jianqing Fan
8. Stefan Wager

Citations in the corpus

• CAUSALITY FROM A DISTRIBUTIONAL ROBUSTNESS POINT OF VIEW (2018, background): “This invariance can be exploited when trying to infer the set of parents of Y for linear [10] and nonlinear models [11].”