5 citations · 5 across the 1 of their papers we have counts for
2 papers
stat.ME2022
Ancestor regression in linear structural equation models
Christoph Schultheiss, Peter Bühlmann
We present a new method for causal discovery in linear structural equation models. We propose a simple ``trick'' based on statistical testing in linear models that can distinguish…
stat.ME2021★ 5 cited
Higher-order least squares: assessing partial goodness of fit of linear causal models
Christoph Schultheiss, Peter Bühlmann, Ming Yuan
We introduce a simple diagnostic test for assessing the overall or partial goodness of fit of a linear causal model with errors being independent of the covariates. In particular,…