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Improving finite sample performance of causal discovery by exploiting temporal structure

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Statistical Methods in Medical Research: An International Review Journal

Published online on

Abstract

Statistical Methods in Medical Research, Ahead of Print.
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 ...