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hal-01095299v2  Article dans une revue
Khaled Salhi, Madalina Deaconu, Antoine Lejay, Nicolas Champagnat, Nicolas Navet. Regime switching model for financial data: empirical risk analysis
Physica A, Elsevier, 2016, 461, pp.148-157. <10.1016/j.physa.2016.05.002>
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hal-00011146v2  Chapitre d'ouvrage
Nicolas Champagnat, Régis Ferrière, Sylvie Méléard. Individual-based probabilistic models of adaptive evolution and various scaling approximations
Robert C. Dalang, Marco Dozzi, Francesco Russo. Seminar on Stochastic Analysis, Random Fields and Applications V, Birkhaüser, pp.75-114, 2008, Progress in Probability, Vol. 59, 978-3-7643-8458-6
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inria-00368004v2  Article dans une revue
Nicolas Champagnat. Large deviations for singular and degenerate diffusion models in adaptive evolution
Markov Processes and Related Fields, Polymath, 2009, 15 (3), pp.289-342
hal-00651758v1  Communication dans un congrès
Fabien Campillo, Nicolas Champagnat. Simulation and Analysis of a Markovian Individual-Based Model for Clonal Plant Dynamics
7th International Congress on Industrial and Applied Mathematics, Jul 2011, Vancouver, Canada. 2011
hal-00651732v1  Communication dans un congrès
Fabien Campillo, Nicolas Champagnat, Cendrine Mony. Monte Carlo simulation and mathematical analysis of an individual-based model for clonal plant dynamics
54th Symposium of the International Association for Vegetation Science (IAVS), Jun 2011, Lyon, France. 2011
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hal-00799242v2  Pré-publication, Document de travail
Nicolas Champagnat, Pierre-Emmanuel Jabin. Strong solutions to stochastic differential equations with rough coefficients
2015
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hal-00651837v1  Communication dans un congrès
Fabien Campillo, Nicolas Champagnat. An individual-based model for clonal plant dynamics
4th International Conference on Approximation Methods and Numerical Modelling in Environment and Natural Resources (MAMERN11), May 2011, Saidia, Morocco. 2011
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hal-00851429v1  Pré-publication, Document de travail
Nicolas Champagnat, Madalina Deaconu, Antoine Lejay, Nicolas Navet, Souhail Boukherouaa. An empirical analysis of heavy-tails behavior of financial data: The case for power laws
2013
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hal-01254053v3  Pré-publication, Document de travail
Fabien Campillo, Nicolas Champagnat, Coralie Fritsch. On the variations of the principal eigenvalue with respect to a parameter in growth-fragmentation models
2017
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hal-01395727v2  Pré-publication, Document de travail
Nicolas Champagnat, Denis Villemonais. Uniform convergence to the Q-process
2017
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hal-01503697v1  Pré-publication, Document de travail
Nicolas Champagnat, Denis Villemonais. Lyapunov criteria for uniform convergence of conditional distributions of absorbed Markov processes
2017
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inria-00193883v2  Chapitre d'ouvrage
Mireille Bossy, Nicolas Champagnat. Markov processes and parabolic partial differential equations
Cont Rama. Encyclopedia of Quantitative Finance, John Wiley & Sons Ltd. Chichester, UK, pp.1142-1159, 2010
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hal-00736036v2  Article dans une revue
Nicolas Champagnat, Amaury Lambert, Mathieu Richard. Birth and death processes with neutral mutations
International Journal of Stochastic Analysis, Hindawi, 2012, 2012, Article ID 569081, 20 p. <10.1155/2012/569081>
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hal-01395731v1  Pré-publication, Document de travail
Nicolas Champagnat, Denis Villemonais. Population processes with unbounded extinction rate conditioned to non-extinction
2016
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inria-00164784v1  Article dans une revue
Nicolas Champagnat, Régis Ferrière, Sylvie Méléard. Unifying evolutionary dynamics: from individual stochastic processes to macroscopic models
Theoretical Population Biology, Elsevier, 2006, 69 (3), pp.297-321. <10.1016/j.tpb.2005.10.004>
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inria-00616765v2  Article dans une revue
Nicolas Champagnat, Amaury Lambert. Splitting trees with neutral Poissonian mutations II: Largest and Oldest families
Stochastic Processes and their Applications, Elsevier, 2013, 123 (4), pp.1368-1414. <10.1016/j.spa.2012.11.013>
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inria-00515481v1  Article dans une revue
Nicolas Champagnat, Amaury Lambert. Splitting trees with neutral Poissonian mutations I: Small families
Stochastic Processes and their Applications, Elsevier, 2012, 122 (3), pp.1003-1033. <10.1016/j.spa.2011.11.002>
inria-00345680v1  Article dans une revue
Nicolas Champagnat, Régis Ferrière, Sylvie Méléard. From Individual Stochastic Processes to Macroscopic Models in Adaptive Evolution
Stochastic Models, INFORMS (Institute for Operations Research and Management Sciences), 2008, 24 (S1), pp.2-44. <10.1080/15326340802437710>
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hal-01349663v1  Pré-publication, Document de travail
Nicolas Champagnat, Julien Claisse. On the link between infinite horizon control and quasi-stationary distributions
2016
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hal-01293622v1  Pré-publication, Document de travail
Nicolas Champagnat, Abdoulaye Coulibaly-Pasquier, Denis Villemonais. Exponential convergence to quasi-stationary distribution for multi-dimensional diffusion processes
2016
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cel-01216832v1  Cours
Nicolas Champagnat. Processus de Galton-Watson et applications en dynamique des populations
Master. École Supérieure des Sciences et Technologies de Hammam Sousse, Tunisie. 2015, pp.46
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hal-00017951v2  Article dans une revue
Nicolas Champagnat, Amaury Lambert. Evolution of discrete populations and the canonical diffusion of adaptive dynamics
The Annals of Applied Probability : an official journal of the institute of mathematical statistics, The Institute of Mathematical Statistics, 2007, 17 (1), pp.102-155. <10.1214/105051606000000628>
hal-01188189v1  Article dans une revue
Martina Baar, Anton Bovier, Nicolas Champagnat. From stochastic, individual-based models to the canonical equation of adaptive dynamics - In one step
The Annals of Applied Probability : an official journal of the institute of mathematical statistics, The Institute of Mathematical Statistics, 2016, Online first
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tel-01188203v1  HDR
Nicolas Champagnat. Approches stochastiques et déterministes en biologie : dynamique adaptative, modélisation pour l'écologie, génétique des populations et dynamique moléculaire ; caractère bien posé d'équations différentielles ordinaires et stochastiques
Probabilités [math.PR]. Université de Lorraine, 2015
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cel-01188281v1  Cours
Nicolas Champagnat. Différences finies et analyse numérique matricielle
Master. France. 2010, pp.51
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hal-00157987v1  Chapitre d'ouvrage
Nicolas Champagnat, Amaury Lambert. Adaptive dynamics in logistic branching populations
Banach Center Publ., vol. 80, Polish Acad. Sci., pp.235-244, 2008, <10.4064/bc80-0-14>
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