Granger Causal Networks and Indirect Feedback

The article discusses Granger causal networks and their application to structural vector autoregressions (VARs), focusing on non-parametric variable selection methods. It highlights how indirect feedback mechanisms can be identified and analyzed within these networks. The piece is published on Towards Data Science and targets readers interested in causal inference and time series analysis.