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Stochastic population and epidemic models: persistence and extinction

This monograph provides a summary of the basic theory of branching processes for single-type and multi-type processes. Classic examples of population and epidemic models illustrate the probability of population or epidemic extinction obtained from the theory of branching processes. The first chapter...

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Autor principal: Allen, Linda J S
Lenguaje:eng
Publicado: Springer 2015
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-21554-9
http://cds.cern.ch/record/2050798
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author Allen, Linda J S
author_facet Allen, Linda J S
author_sort Allen, Linda J S
collection CERN
description This monograph provides a summary of the basic theory of branching processes for single-type and multi-type processes. Classic examples of population and epidemic models illustrate the probability of population or epidemic extinction obtained from the theory of branching processes. The first chapter develops the branching process theory, while in the second chapter two applications to population and epidemic processes of single-type branching process theory are explored. The last two chapters present multi-type branching process applications to epidemic models, and then continuous-time and continuous-state branching processes with applications. In addition, several MATLAB programs for simulating stochastic sample paths  are provided in an Appendix. These notes originated as part of a lecture series on Stochastics in Biological Systems at the Mathematical Biosciences Institute in Ohio, USA. Professor Linda Allen is a Paul Whitfield Horn Professor of Mathematics in the Department of Mathematics and Statistics at Texas Tech University, USA.
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spelling cern-20507982021-04-21T20:05:25Zdoi:10.1007/978-3-319-21554-9http://cds.cern.ch/record/2050798engAllen, Linda J SStochastic population and epidemic models: persistence and extinctionMathematical Physics and MathematicsThis monograph provides a summary of the basic theory of branching processes for single-type and multi-type processes. Classic examples of population and epidemic models illustrate the probability of population or epidemic extinction obtained from the theory of branching processes. The first chapter develops the branching process theory, while in the second chapter two applications to population and epidemic processes of single-type branching process theory are explored. The last two chapters present multi-type branching process applications to epidemic models, and then continuous-time and continuous-state branching processes with applications. In addition, several MATLAB programs for simulating stochastic sample paths  are provided in an Appendix. These notes originated as part of a lecture series on Stochastics in Biological Systems at the Mathematical Biosciences Institute in Ohio, USA. Professor Linda Allen is a Paul Whitfield Horn Professor of Mathematics in the Department of Mathematics and Statistics at Texas Tech University, USA.Springeroai:cds.cern.ch:20507982015
spellingShingle Mathematical Physics and Mathematics
Allen, Linda J S
Stochastic population and epidemic models: persistence and extinction
title Stochastic population and epidemic models: persistence and extinction
title_full Stochastic population and epidemic models: persistence and extinction
title_fullStr Stochastic population and epidemic models: persistence and extinction
title_full_unstemmed Stochastic population and epidemic models: persistence and extinction
title_short Stochastic population and epidemic models: persistence and extinction
title_sort stochastic population and epidemic models: persistence and extinction
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-319-21554-9
http://cds.cern.ch/record/2050798
work_keys_str_mv AT allenlindajs stochasticpopulationandepidemicmodelspersistenceandextinction