Revisiting causality using stochastics: 2. applications
In a companion paper, we develop the theoretical background of a stochastic approach to causality with the objective of formulating necessary conditions that are operationally useful in identifying or falsifying causality claims. Starting from the idea of stochastic causal systems, the approach exte...
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ftimperialcol:oai:spiral.imperial.ac.uk:10044/1/98568 2023-05-15T16:39:06+02:00 Revisiting causality using stochastics: 2. applications Koutsoyiannis, D Onof, C Christofidis, A Kundzewicz, ZW 2022-04-22 http://hdl.handle.net/10044/1/98568 https://doi.org/10.1098/rspa.2021.0836 English eng The Royal Society Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 1364-5021 http://hdl.handle.net/10044/1/98568 doi:10.1098/rspa.2021.0836 © 2022 The Author(s) Published by the Royal Society. All rights reserved. Science & Technology Multidisciplinary Sciences Science & Technology - Other Topics causality causal systems stochastics geophysics hydrology climate VOSTOK ICE CORE CYCLE CO2 01 Mathematical Sciences 02 Physical Sciences 09 Engineering Journal Article 2022 ftimperialcol https://doi.org/10.1098/rspa.2021.0836 2022-08-04T22:41:31Z In a companion paper, we develop the theoretical background of a stochastic approach to causality with the objective of formulating necessary conditions that are operationally useful in identifying or falsifying causality claims. Starting from the idea of stochastic causal systems, the approach extends it to the more general concept of hen-or-egg causality, which includes as special cases the classic causal, and the potentially causal and anti-causal systems. The framework developed is applicable to large-scale open systems, which are neither controllable nor repeatable. In this paper, we illustrate and showcase the proposed framework in a number of case studies. Some of them are controlled synthetic examples and are conducted as a proof of applicability of the theoretical concept, to test the methodology with a priori known system properties. Others are real-world studies on interesting scientific problems in geophysics, and in particular hydrology and climatology. Article in Journal/Newspaper ice core Imperial College London: Spiral Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 478 2261 |
institution |
Open Polar |
collection |
Imperial College London: Spiral |
op_collection_id |
ftimperialcol |
language |
English |
topic |
Science & Technology Multidisciplinary Sciences Science & Technology - Other Topics causality causal systems stochastics geophysics hydrology climate VOSTOK ICE CORE CYCLE CO2 01 Mathematical Sciences 02 Physical Sciences 09 Engineering |
spellingShingle |
Science & Technology Multidisciplinary Sciences Science & Technology - Other Topics causality causal systems stochastics geophysics hydrology climate VOSTOK ICE CORE CYCLE CO2 01 Mathematical Sciences 02 Physical Sciences 09 Engineering Koutsoyiannis, D Onof, C Christofidis, A Kundzewicz, ZW Revisiting causality using stochastics: 2. applications |
topic_facet |
Science & Technology Multidisciplinary Sciences Science & Technology - Other Topics causality causal systems stochastics geophysics hydrology climate VOSTOK ICE CORE CYCLE CO2 01 Mathematical Sciences 02 Physical Sciences 09 Engineering |
description |
In a companion paper, we develop the theoretical background of a stochastic approach to causality with the objective of formulating necessary conditions that are operationally useful in identifying or falsifying causality claims. Starting from the idea of stochastic causal systems, the approach extends it to the more general concept of hen-or-egg causality, which includes as special cases the classic causal, and the potentially causal and anti-causal systems. The framework developed is applicable to large-scale open systems, which are neither controllable nor repeatable. In this paper, we illustrate and showcase the proposed framework in a number of case studies. Some of them are controlled synthetic examples and are conducted as a proof of applicability of the theoretical concept, to test the methodology with a priori known system properties. Others are real-world studies on interesting scientific problems in geophysics, and in particular hydrology and climatology. |
format |
Article in Journal/Newspaper |
author |
Koutsoyiannis, D Onof, C Christofidis, A Kundzewicz, ZW |
author_facet |
Koutsoyiannis, D Onof, C Christofidis, A Kundzewicz, ZW |
author_sort |
Koutsoyiannis, D |
title |
Revisiting causality using stochastics: 2. applications |
title_short |
Revisiting causality using stochastics: 2. applications |
title_full |
Revisiting causality using stochastics: 2. applications |
title_fullStr |
Revisiting causality using stochastics: 2. applications |
title_full_unstemmed |
Revisiting causality using stochastics: 2. applications |
title_sort |
revisiting causality using stochastics: 2. applications |
publisher |
The Royal Society |
publishDate |
2022 |
url |
http://hdl.handle.net/10044/1/98568 https://doi.org/10.1098/rspa.2021.0836 |
genre |
ice core |
genre_facet |
ice core |
op_relation |
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 1364-5021 http://hdl.handle.net/10044/1/98568 doi:10.1098/rspa.2021.0836 |
op_rights |
© 2022 The Author(s) Published by the Royal Society. All rights reserved. |
op_doi |
https://doi.org/10.1098/rspa.2021.0836 |
container_title |
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences |
container_volume |
478 |
container_issue |
2261 |
_version_ |
1766029436455485440 |