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[69] R. Sainudiin, B.D. Thatte, A. Veber. Ancestries of a recombining diploid population.
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6
BIBLIOGRAPHIE
[58] M. Métivier. Notions fondamentales de la théorie des probabilités. Dunod, 1972.
[59] D. Morale, V. Capasso, K. Oelschläger. An interacting particle system modelling
aggregation behavior : from individuals to populations. J. Math. Biol. 50, no. 1, 49–
66, 2005.
[60] J. Neveu. Bases mathématiques du calcul des probabilités, 2ième édition. Masson,
1970.
[61] J. Neveu. Martingales discrètes. Masson, 1972.
[62] E. Pardoux, Processus de Markov et Applications. Dunod, 2007.
[63] B.L. Phillips, G.P. Brown, J.K. Webb, R. Shine. Invasion and evolution of speed in
toads. Nature 439, 803, 2006.
[64] P.E. Protter. Stochastic Integration and Differential Equations, 2nd Edition. Springer,
2004
[65] E. Renshaw. Modelling Biological Populations in Space and Time. Cambridge University Press, 1991.
[66] D. Revuz, M. Yor. Continuous Martingales and Brownian Motion. Springer, 1991.
[67] E. Seneta, D. Vere-Jones. On quasi-stationary distributions in discrete-time Markov
chains with a denumerable infinity of states. J. Appl. Prob. 3, 403–434, 1966.
[68] D. Serre. Les matrices, Dunod, 2001.
[69] R. Sainudiin, B.D. Thatte, A. Veber. Ancestries of a recombining diploid population.
J. Math. Biol., 2015.
[70] M. L. Silverstein. A new approach to local times. J. Math. Mech. 17,1023–1054,
1967/1968.
[71] T. Tully. A quoi sert de vieillir ? La recherche, 2007.
[72] West, G.B., Brown, J.H., Enquist, B.J. The fourth dimension of life : factal geometry
and allometric scaling of organisms. Science 284 (5420), 1677–1679, 1999.
[73] A.M. Yaglom. Certain limit theorems of the theory of branching stochastic processes
(in Russian). Dokl. Akad. Nauk. SSSR (n.s.) 56, 795–798, 1947.
6
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