Publication | Closed Access
Shot noise Cox processes
156
Citations
30
References
2003
Year
EngineeringShot Noise CoxStochastic AnalysisStochastic PhenomenonMarkov Chain Monte CarloMathematical StatisticNoise ReductionStochastic SimulationSummary StatisticsStochastic ProcessesNoiseBayesian MethodsPublic HealthStatistical ModelingStatisticsPoisson ClusterProbability TheoryStochastic ResonanceStochastic ModelingBayesian StatisticsStatistical Inference
Shot noise Cox processes constitute a large class of Cox and Poisson cluster processes in ℝ d , including Neyman-Scott, Poisson-gamma and shot noise G Cox processes. It is demonstrated that, due to the structure of such models, a number of useful and general results can easily be established. The focus is on the probabilistic aspects with a view to statistical applications, particularly results for summary statistics, reduced Palm distributions, simulation with or without edge effects, conditional simulation of the intensity function and local and spatial Markov properties.
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