Anchor Regression: Heterogeneous Data Meet Causality

DOI10.1111/rssb.12398OpenAlexW3125774186MaRDI QIDQ5087398

Jonas Peters, Dominik Rothenhäusler, Nicolai Meinshausen, Peter Bühlmann

Publication date: 11 July 2022

Published in: Journal of the Royal Statistical Society Series B: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1801.06229

zbMATH Keywords

causal inferencedistributional robustnessreplicabilitystructural equation modelling

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items

Distributional anchor regression, Rejoinder on: ``Hierarchical inference for genome-wide association studies: a view on methodology with software, Distributionally robust and generalizable inference, Federated causal inference in heterogeneous observational data, Estimating causal effects with hidden confounding using instrumental variables and environments, Unnamed Item, Comments on ``Data science, big data and statistics, Stabilizing Variable Selection and Regression, Regularizing Double Machine Learning in Partially Linear Endogenous Models, Tackling algorithmic bias in neural-network classifiers using Wasserstein-2 regularization