The Annals of Applied Probability · 2008 · 47 citations · 16 references
EngineeringMathematicsDynamical SystemsProbability TheoryStochastic ProcessesLévy ProcessesMarkov ProcessesStochastic CalculusStochastic ControlStochastic Differential EquationsStochastic StabilityLévy MeasureLévy-driven Stochastic Differential EquationsStable ProcessesStochastic Recursion
We study some recursive procedures based on exact or approximate Euler schemes with decreasing step to compute the invariant measure of Lévy driven SDEs. We prove the convergence of these procedures toward the invariant measure under weak conditions on the moment of the Lévy process and on the mean-reverting of the dynamical system. We also show that an a.s. CLT for stable processes can be derived from our main results. Finally, we illustrate our results by several simulations.
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Markov Processes: Characterization and Convergence.
Andris Abakuks, S. N. Ethier, Thomas G. Kurtz · Biometrics · 1987 · 4.5K citations