# How to use some other driving process than the WienerProcess?

According to the following reference page

http://reference.wolfram.com/language/ref/ItoProcess.html

The driving process dproc can be any process that can be converted to a standard Ito process

and

Processes proc that can be converted to standard ItoProcess form include OrnsteinUhlenbeckProcess, GeometricBrownianMotionProcess, StratonovichProcess, and ItoProcess.

However, it does not seem to work in my example:

proc = ItoProcess[\[DifferentialD]x[
t] == -x[t] \[DifferentialD]t + \[DifferentialD]w[t],
x[t], {x, 1}, t,
w \[Distributed] OrnsteinUhlenbeckProcess[0, 1, 1]]
RandomFunction[proc, {0., 5., 0.01}]
ListLinePlot[%, Filling -> Axis]


which resulted in the error:

RandomFunction::unsproc: The specification ItoProcess[[DifferentialD]x[t]==[DifferentialD]w[t]-[DifferentialD]t x[t],x[t],{x,1},t,w[Distributed]OrnsteinUhlenbeckProcess[0,1,1]] is not a random process recognized by the system.

Note that in defining the ItoProcess proc like above, w \[Distributed] WienerProcess[0,1] would work, but w \[Distributed] OrnsteinUhlenbeckProcess[0, 1, 1] does not.

-
As I understand it, the usage is like proc = ItoProcess[GeometricBrownianMotionProcess[0, 1, 1]] path = RandomFunction[proc, {0., 2. Pi, 0.05}, 12, Method -> "StochasticRungeKutta"] ListLinePlot[path]  –  belisarius Mar 15 '14 at 10:12
@belisarius This piece of code did not successfully result in a graph. Otherwise, my question concerns the driving. In the definition of the ItoProcess, w \[Distributed] WienerProcess[] works, but w \[Distributed] OrnsteinUhlenbeckProcess[0, 1, 1] does not. –  Tamas Mar 15 '14 at 11:14

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