Noise processes are essential in continuous stochastic modeling. The
NoiseProcess types are distributionally-exact, meaning they are not solutions of stochastic differential equations and instead are directly generated according to their analytical distributions. These processes are used as the noise term in the SDE and RODE solvers. Additionally, the noise processes themselves can be simulated and solved using the DiffEq common interface (including the Monte Carlo interface).
For more details, see DiffEqNoiseProcess.jl