Approximation of Population Processes
£25.99
Part of CBMS-NSF Regional Conference Series in Applied Mathematics
- Author: Thomas G. Kurtz
- Date Published: February 1981
- availability: This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
- format: Paperback
- isbn: 9780898711691
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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.
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×Product details
- Date Published: February 1981
- format: Paperback
- isbn: 9780898711691
- length: 83 pages
- dimensions: 252 x 173 x 7 mm
- weight: 0.16kg
- availability: This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
Table of Contents
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.
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