Detecting causal associations in large nonlinear time series datasets
Identifying causal relationships from observational time series data is a key problem in disciplines such as climate science or neuroscience, where experiments are often not possible. Data-driven causal inference is challenging since datasets are often high-dimensional and nonlinear with limited sam...
| Huvudupphovsmän: | , , , , |
|---|---|
| Materialtyp: | Journal article |
| Publicerad: |
American Association for the Advancement of Science
2019
|