2 papers
stat.ML2025
Constraint-based causal discovery with tiered background knowledge and latent variables in single or overlapping datasets
Christine W. Bang, Vanessa Didelez
In this paper we consider the use of tiered background knowledge within constraint based causal discovery. Our focus is on settings relaxing causal sufficiency, i.e. allowing for l…
stat.ME2024
Improving Finite Sample Performance of Causal Discovery by Exploiting Temporal Structure
Christine W Bang, Janine Witte, Ronja Foraita +1
Methods of causal discovery aim to identify causal structures in a data driven way. Existing algorithms are known to be unstable and sensitive to statistical errors, and are theref…