Inferring causation from time series in Earth system sciences

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.

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Autores principales:	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
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/c9cb78b8c1d74e3fbd7d14afb1c5eee7
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spelling	oai:doaj.org-article:c9cb78b8c1d74e3fbd7d14afb1c5eee72021-12-02T14:40:17ZInferring causation from time series in Earth system sciences10.1038/s41467-019-10105-32041-1723https://doaj.org/article/c9cb78b8c1d74e3fbd7d14afb1c5eee72019-06-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-10105-3https://doaj.org/toc/2041-1723Questions 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.Jakob RungeSebastian BathianyErik BolltGustau Camps-VallsDim CoumouEthan DeyleClark GlymourMarlene KretschmerMiguel D. MahechaJordi Muñoz-MaríEgbert H. van NesJonas PetersRick QuaxMarkus ReichsteinMarten SchefferBernhard SchölkopfPeter SpirtesGeorge SugiharaJie SunKun ZhangJakob ZscheischlerNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-13 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q 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 Inferring causation from time series in Earth system sciences
description	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.
format	article
author	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
author_facet	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
author_sort	Jakob Runge
title	Inferring causation from time series in Earth system sciences
title_short	Inferring causation from time series in Earth system sciences
title_full	Inferring causation from time series in Earth system sciences
title_fullStr	Inferring causation from time series in Earth system sciences
title_full_unstemmed	Inferring causation from time series in Earth system sciences
title_sort	inferring causation from time series in earth system sciences
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/c9cb78b8c1d74e3fbd7d14afb1c5eee7
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Inferring causation from time series in Earth system sciences

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