On continuous state branching processes: conditioning and self-similarity
A.E. Kyprianou, J.C. Pardo

TL;DR
This paper demonstrates that certain stable continuous-state branching processes and their conditioned versions are positive self-similar Markov processes, providing explicit path results through Lamperti transformations.
Contribution
It establishes the self-similarity of conditioned stable continuous-state branching processes and explores their path properties via Lamperti transformations.
Findings
Stable CSB processes are positive self-similar Markov processes.
Explicit path descriptions for conditioned processes are derived.
Connections between different Lamperti transformations are clarified.
Abstract
In this paper, for \alpha\in (1, 2} we show that the -stable continuous-state branching process and the associated process conditioned never to become extinct are positive self-similar Markov processes. Understanding the interaction of the Lamperti transformation for continuous-state branching processes and the Lamperti transformation for positive self-similar Markov processes permits accessto a number of explicit results concerning the paths of stable-continuous branching processes and its conditioned version.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Stochastic processes and financial applications · Theoretical and Computational Physics
