Hochschulschrift
A parameter estimation framework for kinetic models of biological systems
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
Halle (Saale), Martin-Luther-Universität Halle-Wittenberg, Diss., 2012
- Classification
-
Biowissenschaften, Biologie
- Event
-
Veröffentlichung
- (where)
-
Halle, Saale
- (who)
-
Universitäts- und Landesbibliothek Sachsen-Anhalt
- (when)
-
2012
- Creator
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Baker, Syed Murtuza
- Contributor
-
Junker, Björn H.
Schreiber, Falk
Mangold, Michael
- URN
-
urn:nbn:de:gbv:3:4-8781
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:47 PM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Object type
- Hochschulschrift
Associated
- Baker, Syed Murtuza
- Junker, Björn H.
- Schreiber, Falk
- Mangold, Michael
- Universitäts- und Landesbibliothek Sachsen-Anhalt
Time of origin
- 2012
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Application of Structural Electricity Models - From Parameter Estimation and Parameter Risk to an Implied Hedging Framework
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A unified framework for estimating parameters of kinetic biological models
Parameter estimation in models of biological oscillators : an automated regularised estimation approach
Fuzzy coloured Petri nets for modelling biological systems with uncertain kinetic parameters
Parametrising kinetic models of biological networks
The linear parameter-varying framework for active vibration control of elastic kinetic structures
Model Reduction for Kinetic Models of Biological Systems
Parameter Estimation for a Kinetic Model of a Cellular System Using Model Order Reduction Method
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Development and Evaluation of Sampling-based Parameter Estimation Methods for Dynamic Biological Processes
Application of Structural Electricity Models - From Parameter Estimation and Parameter Risk to an Implied Hedging Framework
Mathematical modeling of complex biological systems : a kinetic theory approach