Simulations of Some Doubly Stochastic Poisson Point Processes |
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Authors: | B Picinbono |
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Institution: | Laboratoire des Signaux et Systèmes Supélec (Unité mixte de recherche (UMR 8506) du Centre National de la Recherche Scientifique (CNRS), de l’école Supérieure d’électricité (Suplec) et de l’Université de Paris-Sud 11 (UPS)) , Plateau de Moulon , Gif-sur-Yvette , France |
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Abstract: | Computer simulations of point processes are important either to verify the results of certain theoretical calculations that can be very awkward at times or to obtain practical results when these calculations become almost impossible. One of the most common methods for the simulation of nonstationary Poisson processes is random thinning. Its extension when the intensity becomes random (doubly stochastic Poisson processes) depends on the structure of this intensity. If the random density takes only discrete values, which is a common situation in many physical problems where quantum mechanics introduces discrete states, it is shown that the thinning method can be applied without error. We study in particular the case of binary density and present the kind of theoretical calculations that then become possible. The results of various experiments realized with data obtained by simulation show a fairly good agreement with the theoretical calculations. |
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Keywords: | Counting Lifetime Point processes |
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