Stochastic Population Processes: Analysis, Approximations, Simulations

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Stochastic Population Processes: Analysis, Approximations, Simulations

2015 | Natural World

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 realizations are therefore defined purely in terms of successive event-time pairs, and such systems are easy to simulate irrespective of their degree of complexity. However, whilst the associated probability equations are straightforward to write down, their solution usually requires the use of approximation and perturbation



Published by Oxford University Press

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ISBN 9780198739067
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