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Point processes characterized by their one dimensional distributions
Authors:Email author" target="_blank">Aihua?XiaEmail author
Institution:(1) Department of Mathematics and Statistics, The University of Melbourne, VIC 3010, Australia
Abstract:It is well-known that the distribution of a point process Xgr defined on a carrier space Gamma is uniquely characterised by its finite dimensional joint distributions of counts on disjoint subsets of Gamma. In this note, we investigate the common structure of point processes whose distributions are specified by their one dimensional distributions. We also show that, if Xgr is such a point process, then a sequence of point processes {Xgr n } converges in distribution to Xgr if and only if {Xgr n (B)} converges in distribution to Xgr(B) for a suitably rich class of sets BsubGamma. Supported by ARC Discovery project number DP0209179 Mathmatics Subject Classification (2000):enspPrimary 60G55; Secondary 60E05, 60B10 AcknowledgementenspI would like to thank a referee for his valuable suggestions on the presentation of this paper.
Keywords:Point process  Simple point process  Ordinary point process  Weakly ordinary point process  Poisson process  Finite dimensional distribution  Probability generating function
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