Improving finite sample performance of causal discovery by exploiting temporal structure
Statistical Methods in Medical Research: An International Review Journal
Published online on April 01, 2026
Abstract
Statistical Methods in Medical Research, Volume 35, Issue 4, Page 867-886, April 2026.
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 therefore rarely used with biomedical or epidemiological data. We investigate an ...
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 therefore rarely used with biomedical or epidemiological data. We investigate an ...