Advances in Applied Probability · 1985 · 75 citations · 16 references
EngineeringMathematicsProbability TheoryStochastic ProcessesTime Series AnalysisLarge DeviationsNoisePoint ProcessesStationary ProcessesConvergenceShot NoiseShot Noise AnalysisShot Noise ModelingStationary Point AnalysisStationary Point Processes
Using a representation formula expressing the mixed cumulants of realvalued random variables by corresponding moments, sufficient conditions are given for the normal convergence of suitably standardized shot noise assuming that the generating stationary point process is independently marked and Brillinger mixing and that its intensity tends to ∞. Furthermore, estimates for the rate of this normal convergence are obtained by exploiting a general lemma on probabilities of large deviations and on the rate of normal convergence.
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Probability, Random Variables, and Stochastic Processes
Irwin Miller, Anthanasios Papoulis · Technometrics · 1966 · 6.5K citations
Engineering, Mathematics, Physics +14
Asymptotic methods in queueing theory
Gian‐Carlo Rota · Advances in Mathematics · 1985 · 148 citations