On the simulation of biological diffusion processes.

Abstract excerpt

Many phenomena of interest in biology can be modeled using diffusion processes satisfying a stochastic differential equation. We consider first the stochastic differential equation dX = mu Xdt + sigma X, dW, where W is a standard Wiener process and representing a population growth process. This is simulated using both a strong Euler scheme involving normal pseudorandom numbers and a weak Euler scheme using...

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