Hochschulschrift
Estimating states and interactions in complex systems
Zusammenfassung: Complex systems such as social societies, the brain, the stock market, or the signaling in living cells can be visualized and investigated by means of their network representation. A complex system is modeled as a network by identifying its individual parts as nodes and modeling the interaction between its parts as links. By means of its network representation a complex system can also be treated mathematically.In application, the network representing a complex systems is constructed based on observations recorded from the system. The nodes of such an empirical network are commonly defined by the recording sites, its links are established by applying a measure of interdependence, such as the correlation coefficient, to the observations. The correlation coefficient is a bivariate measure, i.e., the recordings of two nodes are taken into account while the recordings of all other nodes are disregarded. Bivariate methods lead to so-called indirect links in a network. An indirect link suggests a direct interaction between two nodes, even though the latter share no direct physical connection in the system under investigation.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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Albert-Ludwigs-Universität Freiburg, Dissertation, 2016
- Classification
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Mathematik
- Keyword
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Kalman-Filter
Zustandsraum
EM-Algorithmus
Elektrokardiogramm
Netzwerkanalyse
Korrelation
- Event
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Veröffentlichung
- (where)
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Freiburg
- (who)
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Universität
- (when)
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2016
- Creator
- Contributor
- DOI
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10.6094/UNIFR/11089
- URN
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urn:nbn:de:bsz:25-freidok-110892
- Rights
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Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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25.03.2025, 1:42 PM CET
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Object type
- Hochschulschrift
Associated
- Mader, Wolfgang
- Timmer, Jens
- Universität
Time of origin
- 2016
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