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From Markov Chains to Compartmental Models

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Compartmental Modeling with Networks

Abstract

For our Markov chain models, we have always assumed that the state vectors are probabilities. However, in some applications such as ecosystems, we are more interested in the quantities of, say, a nutrient in a particular state at a particular time rather than the probability that a molecule is in that state at that time. We shall see that the two concepts are equivalent.

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© 1999 Springer Science+Business Media New York

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Walter, G.G., Contreras, M. (1999). From Markov Chains to Compartmental Models. In: Compartmental Modeling with Networks. Modeling and Simulation in Science, Engineering and Technology. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-1-4612-1590-5_12

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  • DOI: https://doi.org/10.1007/978-1-4612-1590-5_12

  • Publisher Name: Birkhäuser, Boston, MA

  • Print ISBN: 978-1-4612-7207-6

  • Online ISBN: 978-1-4612-1590-5

  • eBook Packages: Springer Book Archive

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