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Journal of Applied Probability is the oldest journal devoted to the publication of research in the field of applied probability. It is an international journal published by the Applied Probability Trust, and it serves as a companion publication to the Advances in Applied Probability. Its wide audience includes leading researchers across the entire spectrum of applied probability, including biosciences applications, operations research, telecommunications, computer science, engineering, epidemiology, financial mathematics, the physical and social sciences, and any field where stochastic modeling is used. A submission to Applied Probability represents a submission that may, at the Editor-in-Chief’s discretion, appear in either the Journal of Applied Probability or the Advances in Applied Probability. Typically, shorter papers appear in the Journal, with longer contributions appearing in the Advances.
Random VariablesMarkov ChainBranching ProcessBranching ProcessesPoisson ProcessRandom WalkStationary DistributionIndependent and Identically DistributedCentral Limit TheoremBrownian MotionLimit TheoremsLevy ProcessMarkovPoint ProcessesGenerating FunctionLaplace TransformWeak ConvergencePoint ProcessGalton-Watson ProcessMarkov Process
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