Approximation of population processes:
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Bibliographic Details
Main Author: Kurtz, Thomas G. 1941- (Author)
Format: Electronic eBook
Language:English
Published: Philadelphia, Pa. Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104) [1981]
Series:CBMS-NSF regional conference series in applied mathematics 36
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Item Description:Mode of access: World Wide Web. - System requirements: Adobe Acrobat Reader
Includes bibliographical references (s. 73-75)
Weak convergence -- Markov Processes and their generators -- Convergence to Markov processes -- Diffusion approximations -- Branching Markov processes -- Markov processes as random time changes -- Approximations of density dependent jump Markov processes -- Epidemic models -- Random replication with errors
Population processes are stochastic models for systems involving a number of similar particles. Examples include models for chemical reactions and for epidemics. The model may involve a finite number of attributes, or even a continuum. This monograph considers approximations that are possible when the number of particles is large. The models considered will involve a finite number of different types of particles
Physical Description:1 Online-Ressource (75 Seiten)
ISBN:089871169X
9780898711691
DOI:10.1137/1.9781611970333

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