Causality & Control Flow

Causality, Confounding, and Control

In a previous paper, Russo et al. (2006), causality is considered in the framework of structural models, i.e. statistical models characterized by parameters that are stable over a large class of interventions or of environmental changes and that take into account background and contextual knowledge. From this statistical viewpoint, causality is defined in terms of exogeneity in a structural mod...

Pearl Causality and the Value of Control

We welcome this opportunity to acknowledge the significance of Judea Pearl’s contributions to uncertain reasoning and in particular to his work on causality. In the decision analysis community causality had long been “taboo” even though it provides a natural framework to communicate with decision makers and experts [Shachter and Heckerman 1986]. Ironically, while many of the concepts and method...

Analyzing information flow in brain networks with nonparametric Granger causality

Multielectrode neurophysiological recording and high-resolution neuroimaging generate multivariate data that are the basis for understanding the patterns of neural interactions. How to extract directions of information flow in brain networks from these data remains a key challenge. Research over the last few years has identified Granger causality as a statistically principled technique to furni...

Causality

Control Flow