Bayesian identification of structural coefficients in causal models and the causal false-positive risk of confounders and colliders in linear Markovian models

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作者：
Riko Kelter
机构：
[1] Department of Mathematics,
[2] University of Siegen,undefined
来源：
BMC Medical Research Methodology | / 22卷
关键词：
Causal inference; Bayesian inference; Directed acyclic graph (DAG); d-separation; Bayes factor; Structural coefficients;
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