Detecting and quantifying causal associations in large nonlinear time series datasets

Abstract

A novel causal discovery method for estimating nonlinear interdependency networks from large time series datasets.

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Cited by papers we hold 3

• Recent Recovery of the World’s Rarest Primate Is Not Directly Linked to Increasing Habitat Quality · 2022
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• Influence of fake news in Twitter during the 2016 US presidential election · 2019
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• Inferring causation from time series in Earth system sciences · 2019
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