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Erschienen in:
Merging Mathematical and Physiological Knowledge: Dimensions and Challenges Kapitel lesen Erstes Kapitel lesen

2013 | OriginalPaper | Buchkapitel

3. Parameter Selection Methods in Inverse Problem Formulation

verfasst von : H. T. Banks, Ariel Cintrón-Arias, Franz Kappel

Erschienen in: Mathematical Modeling and Validation in Physiology

Verlag: Springer Berlin Heidelberg

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Abstract

We discuss methods for a priori selection of parameters to be estimated in inverse problem formulations (such as Maximum Likelihood, Ordinary and Generalized Least Squares) for dynamical systems with numerous state variables and an even larger number of parameters. We illustrate the ideas with an in-host model for HIV dynamics which has been successfully validated with clinical data and used for prediction and a model for the reaction of the cardiovascular system to an ergometric workload.

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Vorheriges Kapitel Mathematical Modeling of Physiological Systems
Nächstes Kapitel Application of the Unscented Kalman Filtering to Parameter Estimation
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Metadaten
Titel
Parameter Selection Methods in Inverse Problem Formulation
verfasst von
H. T. Banks
Ariel Cintrón-Arias
Franz Kappel
Copyright-Jahr
2013
Verlag
Springer Berlin Heidelberg
Buch
Mathematical Modeling and Validation in Physiology

Print ISBN: 978-3-642-32881-7

Electronic ISBN: 978-3-642-32882-4

Copyright-Jahr: 2013

DOI
https://doi.org/10.1007/978-3-642-32882-4_3

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