Use of stochastic system is much cheaper but also inaccurate and simplifying.

Simulation is an approach which can be used to model large, complex stochastic systems for forecasting or performance measurement purposes.

Simulation models are generated from a set of data taken from a stochastic system.

Stocks' research interests are in the general area of stochastic nonlinear systems and biomimetics.

In probability theory, a stochastic system is one whose state is non-deterministic.

The subsequent state of a stochastic system is determined both by the system's predictable actions and by a random element.

This relationship between stochastic systems and quantum systems sheds much light on supersymmetry.

A stochastic system will have a randomly distributed error.

It is further extensible to stochastic systems by using the Ito integral.

In stochastic systems, the probabilities that various states will be repeated will remain constant.