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Revisiting causality using stochastics: 2. Applications

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cris.virtual.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.author-orcid0000-0002-3579-5072
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cris.virtualsource.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
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cris.virtualsource.author-orcid0d6b44ae-5d2d-45e8-a6a0-57dbe0d687ce
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dc.abstract.enIn 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.
dc.affiliationWydział Inżynierii Środowiska i Inżynierii Mechanicznej
dc.affiliation.instituteKatedra Budownictwa i Geoinżynierii
dc.contributor.authorKoutsoyiannis, Demetris
dc.contributor.authorOnof, Christian
dc.contributor.authorChristofidis, Antonis
dc.contributor.authorKundzewicz, Zbigniew W.
dc.date.accessioned2025-12-05T14:08:13Z
dc.date.available2025-12-05T14:08:13Z
dc.date.issued2022
dc.description.abstract<jats:p>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<jats:italic>a priori</jats:italic>known system properties. Others are real-world studies on interesting scientific problems in geophysics, and in particular hydrology and climatology.</jats:p>
dc.description.bibliographyil., bibliogr.
dc.description.financepublication_nocost
dc.description.financecost0,00
dc.description.if3,5
dc.description.number2261
dc.description.points100
dc.description.volume478
dc.identifier.doi10.1098/rspa.2021.0836
dc.identifier.eissn1471-2946
dc.identifier.issn1364-5021
dc.identifier.urihttps://sciencerep.up.poznan.pl/handle/item/6253
dc.languageen
dc.relation.ispartofProceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
dc.relation.pagesart. 20210836
dc.rightsClosedAccess
dc.sciencecloudnosend
dc.subject.encausality
dc.subject.encausal systems
dc.subject.enstochastics
dc.subject.engeophysics
dc.subject.enhydrology
dc.subject.enclimate
dc.titleRevisiting causality using stochastics: 2. Applications
dc.typeJournalArticle
dspace.entity.typePublication
oaire.citation.issue2261
oaire.citation.volume478