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Probabilistic Models of Population Evolution : Scaling Limits, Genealogies and Interactions / by Étienne Pardoux

データ種別 電子書籍
出版者 Cham : Springer International Publishing : Imprint: Springer
出版年 2016

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URL オンライン

EB2031216


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書誌ID OB01018558
本文言語 英語
一般注記 Introduction -- Branching Processes -- Convergence to a Continuous State Branching Process -- Continuous State Branching Process (CSBP) -- Genealogies -- Models of Finite Population with Interaction -- Convergence to a Continuous State Model -- Continuous Model with Interaction -- Appendix.
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Summary: This expository book presents the mathematical description of evolutionary models of populations subject to interactions (e.g. competition) within the population. The author includes both models of finite populations, and limiting models as the size of the population tends to infinity. The size of the population is described as a random function of time and of the initial population (the ancestors at time 0). The genealogical tree of such a population is given. Most models imply that the population is bound to go extinct in finite time. It is explained when the interaction is strong enough so that the extinction time remains finite, when the ancestral population at time 0 goes to infinity. The material could be used for teaching stochastic processes, together with their applications. Étienne Pardoux is Professor at Aix-Marseille University, working in the field of Stochastic Analysis, stochastic partial differential equations, and probabilistic models in evolutionary biology and population genetics. He obtained his PhD in 1975 at University of Paris-Sud
著者標目 *Pardoux, Étienne
SpringerLink (Online service)
統一書名標目 Mathematical Biosciences Institute Lecture Series ;
件 名 LCSH:Mathematics
LCSH:Ecology
LCSH:Probabilities
LCSH:Biomathematics
FREE:Mathematics
FREE:Mathematical and Computational Biology
FREE:Probability Theory and Stochastic Processes
FREE:Theoretical Ecology/Statistics
分 類 LCC:QH323.5
LCC:QH324.2-324.25
DC23:570.285
巻冊次 ISBN:9783319303284 RefWorks出力(各巻)
print ; ISBN:9783319303260 RefWorks出力(各巻)
資料種別 機械可読データファイル
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