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dc.contributor.author
Atmanspacher, Harald
dc.contributor.author
Martin, Mike
dc.date.accessioned
2019-11-01T08:19:56Z
dc.date.available
2019-11-01T03:33:32Z
dc.date.available
2019-11-01T08:19:56Z
dc.date.issued
2019-09-01
dc.identifier.issn
2078-2489
dc.identifier.other
10.3390/info10090272
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/374452
dc.identifier.doi
10.3929/ethz-b-000374452
dc.description.abstract
Correlations between observed data are at the heart of all empirical research that strives for establishing lawful regularities. However, there are numerous ways to assess these correlations, and there are numerous ways to make sense of them. This essay presents a bird’s eye perspective on different interpretive schemes to understand correlations. It is designed as a comparative survey of the basic concepts. Many important details to back it up can be found in the relevant technical literature. Correlations can (1) extend over time (diachronic correlations) or they can (2) relate data in an atemporal way (synchronic correlations). Within class (1), the standard interpretive accounts are based on causal models or on predictive models that are not necessarily causal. Examples within class (2) are (mainly unsupervised) data mining approaches, relations between domains (multiscale systems), nonlocal quantum correlations, and eventually correlations between the mental and the physical.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
MDPI
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
Causation
en_US
dc.subject
Correlation
en_US
dc.subject
Data mining
en_US
dc.subject
Emergence
en_US
dc.subject
Mind-matter correlation
en_US
dc.subject
Prediction
en_US
dc.subject
Quantum correlation
en_US
dc.subject
Reduction
en_US
dc.subject
Supervenience
en_US
dc.title
Correlations and How to Interpret Them
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2019-08-29
ethz.journal.title
Information
ethz.journal.volume
10
en_US
ethz.journal.issue
9
en_US
ethz.pages.start
272
en_US
ethz.size
19 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.scopus
ethz.publication.place
Basel
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00003 - Schulleitung und Dienste::00022 - Bereich VP Forschung / Domain VP Research::02803 - Collegium Helveticum / Collegium Helveticum
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00003 - Schulleitung und Dienste::00022 - Bereich VP Forschung / Domain VP Research::02803 - Collegium Helveticum / Collegium Helveticum
ethz.date.deposited
2019-11-01T03:33:37Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2019-11-01T08:20:07Z
ethz.rosetta.lastUpdated
2020-02-15T22:17:23Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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