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On the Structure of Spatial Branching Processes

On the structure of spatial branching processes
Authors: Matthes, Klaus; Nawrotzki, Kurt; Siegmund-Schultze, Rainer;

On the Structure of Spatial Branching Processes

Abstract

Summary: The paper is a contribution to the theory of branching processes with discrete time and a general phase space in the sense of \textit{A. Liemant, K. Matthes} and \textit{A. Wakolbinger} [``Equilibrium distributions of branching processes'' (1988; Zbl 0671.60076)]. We characterize the class of regular, i.e. in a sense sufficiently random, branching processes \((\Phi_k)_{k\in \mathbb{Z}}\) by almost sure properties of their realizations without making any assumptions about stationarity or existence of moments. This enables us to classify the clans of \((\Phi_k)\) into the regular part and the completely non-regular part. It turns out that the completely non-regular branching processes are built up from single-line processes, whereas the regular ones are mixtures of left-tail trivial processes with a Poisson family structure.

Countries
Germany, Bulgaria
Keywords

Institut für Mathematik, Interacting random processes; statistical mechanics type models; percolation theory, branching particle system, Genealogy, Two-Sided Infinite Markov Sequences of a Random Populations, Discrete-time Markov processes on general state spaces, Branching processes (Galton-Watson, birth-and-death, etc.), two-sided infinite Markov sequences of a random population, Poisson distribution, Poisson Distribution, Branching Particle Systems, genealogy, Random measures

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green