Improving finite sample performance of causal discovery by exploiting temporal structure
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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 algor... ...
