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Showing 2018 · math.PRShow all
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math.PR2018★ 2 cited
Stein's method and Papangelou intensity for Poisson or Cox process approximation
Laurent Decreusefond, Aurélien Vasseur
In this paper, we apply the Stein's method in the context of point processes, namely when the target measure is the distribution of a finite Poisson point process. We show that the…
math.PR2018★ 3 cited
Stein's method for diffusive limit of queueing processes
Eustache Besançon, E Besanç On, Laurent Decreusefond +1
Donsker Theorem is perhaps the most famous invariance principle result for Markov processes. It states that when properly normalized, a random walk behaves asymptotically like a Br…