Theory of Probability and Its Applications · 1999 · 23 citations · 7 references
EngineeringMathematicsProbability TheoryStochastic ModelingStochastic ProcessesJump ProcessesMarkov ProcessesPoisson ProcessesStochastic CalculusStochastic StabilityCompound Poisson DistributionsCompound Poisson ProcessesConvergence In DistributionCox ProcessesStable LawsStable ProcessesVariancesWeak Convergence Of Stochastic Processes
Necessary and sufficient conditions are presented for weak convergence of one-dimensional distributions of compound doubly stochastic Poisson processes in which jumps have finite variances, whereas no moment-type restrictions are imposed on the controlling process. Criteria of convergence of distributions of these processes to stable laws are presented.
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