Photo from academic.microsoft.com
A tensor based formalism is proposed for inferring causal structures. This formalism enables us to determine the directionality of relations within a complex network. It furthermore allows us to differentiate… Click to show full abstract
A tensor based formalism is proposed for inferring causal structures. This formalism enables us to determine the directionality of relations within a complex network. It furthermore allows us to differentiate between direct and indirect associations in the case of noisy data. Using this framework a Data Processing Inequality is proved to exist for Transfer Entropy. Once a causal graph has been inferred, the formalism enables simulating the behavior of the network.
Keywords:
observational causality;
time series;
towards framework;
causality time;
framework observational;
series shannon
Journal Title: Entropy
Year Published: 2020
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!
Journal Title: Entropy
Year Published: 2020
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!