ABSTRACT
A stochastic process is a collection {X(t) : t ∈ T} of random variables indexed by the set T, which usually represents time. The index set T could be discrete or continuous. The set of possible values X(t) can take is the state space, which also can be discrete or continuous. Ross [251] is an excellent introduction to stochastic processes, and includes a chapter on simulation.
