Probability Surveys · 2009 · 85 citations · 21 references
EngineeringMathematicsProbability TheoryStochastic ModelingStochastic ProcessesBranching ProcessesContinuous-time Stochastic ProcessesMarkov ProcessesStochastic CalculusStochastic Differential EquationsContinuous-time Branching Processes
This paper uses two new ingredients, namely stochastic differential equations satisfied by continuous-state branching processes (CSBPs), and a topology under which the Lamperti transformation is continuous, in order to provide self-contained proofs of Lamperti’s 1967 representation of CSBPs in terms of spectrally positive Lévy processes. The first proof is a direct probabilistic proof, and the second one uses approximations by discrete processes, for which the Lamperti representation is evident.
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Markov Processes: Characterization and Convergence.
Andris Abakuks, S. N. Ethier, Thomas G. Kurtz · Biometrics · 1987 · 4.5K citations
Convergence of Probability Measures
James L. Snell · Technometrics · 1970 · 1.4K citations