Electronic Journal of Probability · 2003 · 422 citations · 4 references
EngineeringMathematicsPhysicsProbability TheoryStochastic ModelingStochastic ProcessesBrownian MotionContinuous-time Stochastic ProcessesDiffusion ProcessesStationary ProcessesStochastic CalculusStochastic Differential EquationsFractional Brownian MotionLangevin EquationsOrnstein-uhlenbeck ModelsOrnstein-uhlenbeck Processes
The classical stationary Ornstein-Uhlenbeck process can be obtained in two different ways. On the one hand, it is a stationary solution of the Langevin equation with Brownian motion noise. On the other hand, it can be obtained from Brownian motion by the so called Lamperti transformation. We show that the Langevin equation with fractional Brownian motion noise also has a stationary solution and that the decay of its auto-covariance function is like that of a power function. Contrary to that, the stationary process obtained from fractional Brownian motion by the Lamperti transformation has an auto-covariance function that decays exponentially.
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On the Theory of the Brownian Motion
G. E. Uhlenbeck, L. S. Ornstein · Physical Review · 1930 · 4.5K citations
The Brownian Movement and Stochastic Equations
J. L. Doob · Annals of Mathematics · 1942 · 639 citations
Semi-stable stochastic processes
John Lamperti · Transactions of the American Mathematical Society · 1962 · 514 citations