paper
2019
Climate analysis & attribution
New model or method
Classical ML (trees, GP, linear, kernels)The Alan Turing InstitutePotsdam Institute for Climate Impact Research (PIK)University of Oxford Journal
2019-11-01
070
Nov 2019
Jakob Runge, Peer Nowack, Marlene Kretschmer et al.
Science Advances
The Alan Turing Institute, Potsdam Institute for Climate Impact Research (PIK), University of Oxford
Nonlinear causal discovery method estimates interdependency networks from large generic time series datasets.
Climate analysis & attribution
Detecting and quantifying causal associations in large nonlinear time series datasets
In one sentence. Nonlinear causal discovery method estimates interdependency networks from large generic time series datasets.
Labels
- Topic
- Climate analysis & attribution
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Data
- Other
- Status
- Research
- Identifiers
- arXiv:1702.07007 DOI:10.1126/sciadv.aau4996 OpenAlex:W2593118993
- Added
- 2026-10-22
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