Authors:
- Nominated as an outstanding Ph.D. thesis by the University of Manchester, UK
- Features a clear introduction to stochastic population dynamics, making the thesis easily accessible to non-experts
- Develops techniques of broad interest for researchers working in theoretical population dynamics
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Theses (Springer Theses)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
About this book
Within the context of mathematical modelling, fast variable elimination is one of the central tools with which one can simplify a multivariate problem. When used in the context of of deterministic systems, the theory is quite standard, but when stochastic effects are present, it becomes less straightforward to apply.
While the introductory and background chapters form an excellent primer to the theory of stochastic population dynamics, the techniques developed can be applied to systems exhibiting a separation of timescales in a variety of fields including population genetics, ecology and epidemiology.
Authors and Affiliations
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Department of Ecology and Evolutionary B, Princeton University, Princeton, USA
George William Albert Constable
About the author
Bibliographic Information
Book Title: Fast Variables in Stochastic Population Dynamics
Authors: George William Albert Constable
Series Title: Springer Theses
DOI: https://doi.org/10.1007/978-3-319-21218-0
Publisher: Springer Cham
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-21217-3Published: 11 August 2015
Softcover ISBN: 978-3-319-37384-3Published: 22 October 2016
eBook ISBN: 978-3-319-21218-0Published: 25 July 2015
Series ISSN: 2190-5053
Series E-ISSN: 2190-5061
Edition Number: 1
Number of Pages: XVII, 163
Number of Illustrations: 9 b/w illustrations, 31 illustrations in colour
Topics: Data-driven Science, Modeling and Theory Building, Community & Population Ecology, Genetics and Population Dynamics, Systems Biology