Detecting causal associations in large nonlinear time series datasets

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...

Полное описание

Библиографические подробности
Главные авторы:	Runge, J, Nowack, P, Kretschmer, M, Flaxman, S, Sejdinovic, D
Формат:	Journal article
Опубликовано:	American Association for the Advancement of Science 2019

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