Geodesic
Branching Stochastic Processes: History, Theory, Applications
Mathematics and Education in Mathematics, Tome 40 (2011) no. 1, pp. 61-69.

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Branching stochastic processes can be considered as models in population dynamics, where the objects have a random lifetime and reproduction following some stochastic laws. Typical examples are nuclear reactions, cell proliferation and biological reproduction, some chemical reactions, economics and financial phenomena. In this survey paper we try to present briefly some of the most important and interesting facts from the theory of branching processes and to point out some applications. *2000 Mathematics Subject Classification: 60J80.
Keywords: Bienaymé-Galton-Watson process, Migration, Statistics, Applications 
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Mitov, Kosto. Branching Stochastic Processes: History, Theory, Applications. Mathematics and Education in Mathematics, Tome 40 (2011) no. 1, pp. 61-69. http://geodesic.mathdoc.fr/item/MEM_2011_40_1_a3/