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Inferring causation from time series in Earth system sciences

Authors :
Jakob Runge
Sebastian Bathiany
Erik Bollt
Gustau Camps-Valls
Dim Coumou
Ethan Deyle
Clark Glymour
Marlene Kretschmer
Miguel D. Mahecha
Jordi Muñoz-Marí
Egbert H. van Nes
Jonas Peters
Rick Quax
Markus Reichstein
Marten Scheffer
Bernhard Schölkopf
Peter Spirtes
George Sugihara
Jie Sun
Kun Zhang
Jakob Zscheischler
Source :
Nature Communications, Vol 10, Iss 1, Pp 1-13 (2019)
Publication Year :
2019
Publisher :
Nature Portfolio, 2019.

Abstract

Questions of causality are ubiquitous in Earth system sciences and beyond, yet correlation techniques still prevail. This Perspective provides an overview of causal inference methods, identifies promising applications and methodological challenges, and initiates a causality benchmark platform.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
10
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.9cb78b8c1d74e3fbd7d14afb1c5eee7
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-019-10105-3