Steffen L. Lauritzen, Thomas S. Richardson, Chain Graph Models and Their Causal Interpretations, Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 64, No. 3 (2002), pp ...

Recently, Quantitative Biology published an approach entitled "Gene Regulatory Network Inference based on Causal Discovery Integrating with Graph Neural Network", that leverages graph ...

The reasoning behind decisions is explainable and easily understood by humans. This is because the AI follows a deterministic approach, based on a causal graph that learns and updates in real time.

We present results that allow the researcher in certain cases to determine the direction of the bias that arises when control for confounding is inadequate. The results are given within the context of ...