Measuring Information Transfer
混沌动力学
2009-10-31 v1
摘要
An information theoretic measure is derived that quantifies the statistical coherence between systems evolving in time. The standard time delayed mutual information fails to distinguish information that is actually exchanged from shared information due to common history and input signals. In our new approach, these influences are excluded by appropriate conditioning of transition probabilities. The resulting transfer entropy is able to distinguish driving and responding elements and to detect asymmetry in the coupling of subsystems.
引用
@article{arxiv.nlin/0001042,
title = {Measuring Information Transfer},
author = {Thomas Schreiber},
journal= {arXiv preprint arXiv:nlin/0001042},
year = {2009}
}
备注
4 pages, 4 Figures, Revtex