ABSTRACT
One of the most impressive developments of ordinary differential equations is their extension to the modelling of stochastic processes. The purpose of this chapter is to illustrate this development starting from the construction of random variables and the concept of probability density functions. The derivation and numerical solution of stochastic differential equations modelling jump-diffusion processes and the formulation of piecewise deterministic processes are a focus of this chapter.
