Ontology highlight
ABSTRACT:
SUBMITTER: Yang AC
PROVIDER: S-EPMC6107666 | biostudies-literature | 2018 Aug
REPOSITORIES: biostudies-literature
Yang Albert C AC Peng Chung-Kang CK Huang Norden E NE
Nature communications 20180823 1
Inference of causality in time series has been principally based on the prediction paradigm. Nonetheless, the predictive causality approach may underestimate the simultaneous and reciprocal nature of causal interactions observed in real-world phenomena. Here, we present a causal-decomposition approach that is not based on prediction, but based on the covariation of cause and effect: cause is that which put, the effect follows; and removed, the effect is removed. Using empirical mode decompositio ...[more]