Stochastic differential equation with jumps for multi-type continuous state and continuous time branching processes with immigration
Matyas Barczy, Zenghu Li, Gyula Pap

TL;DR
This paper models multi-type continuous state and time branching processes with immigration using stochastic differential equations with jumps, providing a rigorous mathematical framework for such complex stochastic systems.
Contribution
It establishes the existence and uniqueness of solutions to the SDEs representing these processes, advancing the theoretical understanding of multi-type branching processes.
Findings
Proves pathwise uniqueness of solutions
Identifies the process as a strong solution of the SDEs
Provides conditions under which the model is well-defined
Abstract
A multi-type continuous state and continuous time branching process with immigration satisfying some moment conditions is identified as a pathwise unique strong solution of certain stochastic differential equation with jumps.
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Taxonomy
TopicsStochastic processes and financial applications · Stochastic processes and statistical mechanics · Nonlinear Differential Equations Analysis
