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Sur une procédure de branchement déterministe et ses dérivées aléatoires

Published online by Cambridge University Press:  14 July 2016

Thierry Huillet*
Affiliation:
LIMHP-CNRS, Villetaneuse
Andrzej Kłopotowski*
Affiliation:
Université Paris XIII, Villetaneuse
*
Postal address: Université Paris-Nord, Institut Galileé, Avenue J.-B. Clément, 93430 Villetaneuse, France.
Postal address: Université Paris-Nord, Institut Galileé, Avenue J.-B. Clément, 93430 Villetaneuse, France.

Abstract

This paper is concerned with the description of both a deterministic and stochastic branching procedure. The renewal equations for the deterministic branching population are first derived which allow for asymptotic results on the ‘number' and ‘generation' processes. A probabilistic version of these processes is then studied which presents some discrepancy with the standard Harris age-dependent branching processes.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1994 

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References

[1] Bartlett, M. S. (1946) Stochastic processes. Lecture Notes, University of North Carolina.Google Scholar
[2] Bienayme, I. J. (1845) De la loi de multiplication et de la durée des familles. Soc. Philomath. Paris Extraits Ser. 5, 3739.Google Scholar
[3] Billingsley, P. (1967) Ergodic theory and information. Wiley, New York.Google Scholar
[4] Gantmacher, F. R. (1966) Théorie des matrices. Dunod, Paris.Google Scholar
[5] Harris, T. E. (1963) The theory of branching processes. Springer-Verlag, Berlin.Google Scholar
[6] Heyde, C. C. and Seneta, E. (1972) Studies in the history of probability and statistics. XXXI. The simple branching process, a turning point test and a fundamental inequality: a historical note on I. J. Bienaymé. Biometrika 59, 680683.Google Scholar
[7] Horn, R. A. and Johnson, C. R. (1985) Matrix Analysis. Cambridge University Press.Google Scholar
[8] Karlin, S. (1968) A First Course in Stochastic Processes. Academic Press, New York.Google Scholar
[9] Leslie, P. H. (1945) On the use of matrices in certain population mathematics. Biometrika 33, 183212.Google Scholar
[10] Leslie, P. H. (1948) Some further notes on the use of matrices in population mathematics. Biometrika 35, 213245.Google Scholar
[11] Lewis, E. G. (1942) On the generation and growth of a population. Sankhya 6, 9396.Google Scholar
[12] Ludwig, D. (1978) Stochastic Population Theories. Lecture Notes in Biomathematics 3, Springer-Verlag, Berlin.Google Scholar
[13] Mandelbrot, B. B. (1982) The Fractal Geometry of Nature. W. H. Freeman, San Francisco.Google Scholar
[14] Mode, C. J. (1971) Multitype Branching Processes. American Elsevier, New York.Google Scholar
[15] Pollard, J. H. (1966) On the use of the direct matrix product in analysing certain stochastic population models. Biometrika 53, 397415.Google Scholar