As one would expect, Gauss-Markov stochastic processes are stochastic processes that satisfy the requirements for both Gaussian processes[?] and Markov processes.
Every Gauss-Markov process X(t) possesses the three following properties:
Property (3) means that every Gauss-Markov process can be synthesized from the Standard Wiener Process (SWP).
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