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Approximation of population processes

Name: Approximation of population processes
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Population processes are stochastic models for systems involving a number of similar particles. 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. By a population process we mean a stochastic model for a system involving a number of similar particles. Examples include models for chemical reactions (the . population processes ; diffusion approximation ; genetics ; epidemics ; weak convergence ; Markov processes ; branching processes ; random time change.
Use the Amazon App to scan ISBNs and compare prices. Population processes are stochastic models for systems involving a number of similar particles. 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. Approximation of Population Processes. 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. Asymptotic analysis of multiscale approximations to reaction networks. Ann. Appl. Approximation of population processes, volume 36 of CBMSNSF Regional.
, English, Book edition: Approximation of population processes / Thomas Diffusion Approximations; Branching Markov processes; Markov processes as. luischandomi.com: Approximation of Population Processes (CBMSNSF Regional Conference Series in Applied Mathematics) () by Thomas G. The large population asymptotics of a spatial epidemic model is studied through the representation of the process as a projection of a higher dimensional. Approximation of Population Processes by Thomas G. Kurtz, , available at Book Depository with free delivery worldwide. The vast majority of random processes in the real world have no memory — the next step in their development depends purely on their current state. Stochastic.
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