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...
| Main Authors: | , , , , |
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| 格式: | Journal article |
| 出版: |
American Association for the Advancement of Science
2019
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