Anchor regression: heterogeneous data meets causality D Rothenhäusler, N Meinshausen, P Bühlmann, J Peters arXiv preprint arXiv:1801.06229, 2018 | 33 | 2018 |

BACKSHIFT: Learning causal cyclic graphs from unknown shift interventions D Rothenhäusler, C Heinze, J Peters, N Meinshausen Advances in Neural Information Processing Systems, 1513-1521, 2015 | 28 | 2015 |

Robust factor selection in early cell culture process development for the production of a biosimilar monoclonal antibody M Sokolov, J Ritscher, N MacKinnon, JM Bielser, D Brühlmann, ... Biotechnology progress 33 (1), 181-191, 2017 | 16 | 2017 |

Causal inference in partially linear structural equation models D Rothenhäusler, J Ernest, P Bühlmann The Annals of Statistics 46 (6A), 2904-2938, 2018 | 10 | 2018 |

Causal inference in partially linear structural equation models: identifiability and estimation J Ernest, D Rothenhäusler, P Bühlmann arXiv preprint arXiv:1607.05980, 2016 | 10 | 2016 |

Institutions, shared guilt, and moral transgression D Rothenhäusler, N Schweizer, N Szech CESifo Working Paper Series, 2015 | 8 | 2015 |

Guilt in voting and public good games D Rothenhäusler, N Schweizer, N Szech European Economic Review 101, 664-681, 2018 | 7 | 2018 |

Causal dantzig: fast inference in linear structural equation models with hidden variables under additive interventions D Rothenhäusler, P Bühlmann, N Meinshausen The Annals of Statistics 47 (3), 1688-1722, 2019 | 5 | 2019 |

Confidence intervals for maximin effects in inhomogeneous large-scale data D Rothenhäusler, N Meinshausen, P Bühlmann Statistical Analysis for High-Dimensional Data, 255-277, 2016 | 5 | 2016 |

Incremental causal effects D Rothenhäusler, B Yu arXiv preprint arXiv:1907.13258, 2019 | | 2019 |

Causal models for heterogeneous data D Rothenhäusler ETH Zurich, 2018 | | 2018 |

Behavioural Economics D Rothenhäusler, N Schweizer, N Szech | | 2017 |

Institutions, Shared Guilt, and Moral Transgression N Szech, D Rothenhäusler, N Schweizer Kiel und Hamburg: ZBW-Deutsche Zentralbibliothek für …, 2014 | | 2014 |