Statistical Verification of Probabilistic Long-Run Properties ?

We present two new statistical algorithms for probabilistic verification of long-run properties. The algorithms use statistical sampling of execution trajectories to verify long-run properties of stochastic discrete-event systems. The algorithms differ in the techniques used to ensure that sample trajectories remain finite, but have similar time complexity. Our work is a significant improvement over a recent attempt by Sen et al. at a statistical solution method for long-run properties.

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