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Approximation of Population Processes

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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.
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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