Unifying evolutionary dynamics: from individual stochastic processes to macroscopic models N Champagnat, R Ferrière, S Méléard Theoretical population biology 69 (3), 297-321, 2006 | 511 | 2006 |
Asymptotic behaviour of some interacting particle systems; McKean-Vlasov and Boltzmann models C Graham, TG Kurtz, S Méléard, PE Protter, M Pulvirenti, D Talay, ... Probabilistic Models for Nonlinear Partial Differential Equations: Lectures …, 1996 | 507 | 1996 |
A microscopic probabilistic description of a locally regulated population and macroscopic approximations N Fournier, S Méléard | 405 | 2004 |
Quasi-stationary distributions and population processes S Méléard, D Villemonais | 308 | 2012 |
Stochastic particle approximations for generalized Boltzmann models and convergence estimates C Graham, S Méléard The Annals of probability 25 (1), 115-132, 1997 | 199 | 1997 |
Quasi-stationary distributions and diffusion models in population dynamics P Cattiaux, P Collet, A Lambert, S Martínez, S Méléard, J San Martín | 194 | 2009 |
Nonlinear SDEs driven by L\'evy processes and related PDEs B Jourdain, S Méléard, W Woyczynski arXiv preprint arXiv:0707.2723, 2007 | 162 | 2007 |
From individual stochastic processes to macroscopic models in adaptive evolution N Champagnat, R Ferrière, S Méléard Stochastic Models 24 (sup1), 2-44, 2008 | 157 | 2008 |
Weak convergence of stochastic integrals and differential equations C Graham, TG Kurtz, S Méléard, PE Protter, M Pulvirenti, D Talay, ... Probabilistic Models for Nonlinear Partial Differential Equations: Lectures …, 1996 | 156 | 1996 |
Invasion and adaptive evolution for individual-based spatially structured populations N Champagnat, S Méléard Journal of Mathematical Biology 55, 147-188, 2007 | 144 | 2007 |
The approximate Euler method for Lévy driven stochastic differential equations J Jacod, TG Kurtz, S Méléard, P Protter Annales de l'IHP Probabilités et statistiques 41 (3), 523-558, 2005 | 136 | 2005 |
Martingale measures and stochastic calculus NE Karoui, S Méléard Probability theory and related fields 84 (1), 83-101, 1990 | 133 | 1990 |
Propagation of chaos and fluctuations for a moderate model with smooth initial data B Jourdain, S Méléard Annales de l'Institut Henri Poincare (B) Probability and Statistics 34 (6 …, 1998 | 130 | 1998 |
Stochastic models for structured populations V Bansaye, S Méléard Springer 16, 17-23, 2015 | 124 | 2015 |
Polymorphic evolution sequence and evolutionary branching N Champagnat, S Méléard Probability Theory and Related Fields 151, 45-94, 2011 | 123 | 2011 |
Probabilistic numerical methods for partial differential equations: elements of analysis D Talay LECTURE NOTES IN MATHEMATICS-SPRINGER VERLAG-, 148-196, 1996 | 107 | 1996 |
A propagation of chaos result for a system of particles with moderate interaction S Méléard, S Roelly-Coppoletta Stochastic processes and their applications 26, 317-332, 1987 | 107 | 1987 |
Weak convergence of stochastic integrals and differential equations II: Infinite dimensional case C Graham, TG Kurtz, S Méléard, PE Protter, M Pulvirenti, D Talay, ... Probabilistic Models for Nonlinear Partial Differential Equations: Lectures …, 1996 | 93 | 1996 |
Competitive or weak cooperative stochastic Lotka–Volterra systems conditioned on non-extinction P Cattiaux, S Méléard Journal of mathematical biology 60, 797-829, 2010 | 86 | 2010 |
A Hilbertian approach for fluctuations on the McKean-Vlasov model B Fernandez, S Méléard Stochastic processes and their applications 71 (1), 33-53, 1997 | 81 | 1997 |