{"id":727,"date":"2012-10-23T19:25:33","date_gmt":"2012-10-23T19:25:33","guid":{"rendered":"http:\/\/www-sop.inria.fr\/members\/Fabien.Campillo\/?page_id=727"},"modified":"2024-10-02T09:14:37","modified_gmt":"2024-10-02T09:14:37","slug":"gt-modelisation-passe","status":"publish","type":"page","link":"http:\/\/localhost:8888\/wordpress\/gt-modelisation-passe\/","title":{"rendered":"Groupe de travail “mod\u00e8les stochastiques pour l’\u00e9cologie et la biologie” (s\u00e9ances pass\u00e9es)"},"content":{"rendered":"
Organisateurs\u00a0:\u00a0Fabien Campillo<\/a> (INRIA), Marc Joannides (I3M), V\u00e9ronique Ladret (I3M),\u00a0Pierre Pudlo (I3M). [lien vers la page pr\u00e9sente]<\/p>\n Ce groupe de travail re\u00e7oit le soutien du\u00a0Labex NUMEV<\/a>.<\/p>\n 2012<\/strong><\/p>\n 2011<\/strong><\/p>\n 2010<\/strong><\/p>\n 2009<\/strong><\/p>\n R\u00e9f\u00e9rences<\/strong><\/p>\n [birknee2005a] Matthias Birkner, Stochastic models from population biology, lecture notes for a course at TU Berlin, Summer 2005. Organisateurs\u00a0:\u00a0Fabien Campillo (INRIA), Marc Joannides (I3M), V\u00e9ronique Ladret (I3M),\u00a0Pierre Pudlo (I3M). I3M Equipe Probabilit\u00e9s-Statistique et Equipe-Projet\u00a0MODEMIC INRIA\/INRA [lien vers la page pr\u00e9sente] Ce groupe de travail re\u00e7oit le soutien du\u00a0Labex NUMEV. 2012 Jeudi 25 octobre 2012 \u00e0 17h-18h, salle 431 b\u00e2t. 9 – Universit\u00e9 de Montpellier 2. Nicolas Champagnat (IECN et INRIA Nancy – Grand […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"open","template":"","meta":{"footnotes":""},"class_list":["post-727","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"http:\/\/localhost:8888\/wordpress\/wp-json\/wp\/v2\/pages\/727"}],"collection":[{"href":"http:\/\/localhost:8888\/wordpress\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/localhost:8888\/wordpress\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/localhost:8888\/wordpress\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/localhost:8888\/wordpress\/wp-json\/wp\/v2\/comments?post=727"}],"version-history":[{"count":15,"href":"http:\/\/localhost:8888\/wordpress\/wp-json\/wp\/v2\/pages\/727\/revisions"}],"predecessor-version":[{"id":2562,"href":"http:\/\/localhost:8888\/wordpress\/wp-json\/wp\/v2\/pages\/727\/revisions\/2562"}],"wp:attachment":[{"href":"http:\/\/localhost:8888\/wordpress\/wp-json\/wp\/v2\/media?parent=727"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\nI3M Equipe Probabilit\u00e9s-Statistique et Equipe-Projet\u00a0MODEMIC<\/a> INRIA<\/a>\/INRA<\/a><\/p>\n
\n\n
\nNicolas Champagnat (IECN et INRIA Nancy – Grand Est)
\nMod\u00e9lisation al\u00e9atoire de l\u2019\u00e9volution darwinienne: un mod\u00e8le de chemostat \u00e0 plusieurs ressources.
\nCollaboration avec Sylvie M\u00e9l\u00e9ard et Pierre-Emmanuel Jabin.<\/li>\n
\nAmaury Lambert (\u00c9quipe Probabilit\u00e9s, Statistiques & Biologie, Laboratoire de Probabilit\u00e9s & Mod\u00e8les Al\u00e9atoires\u00a0UPMC Univ Paris 06; “Stochastic Models for the Inference of Life Evolution”, Center for Interdisciplinary Research in Biology\u00a0Coll\u00e8ge de France).
\nProcessus ponctuels de coalescence et phylog\u00e9nie.<\/li>\n<\/ul>\n\n
\n
\n
\n
\n[ethier1986a] Stewart N. Ethier and Thomas G. Kurtz, Markov Processes – Characterization and Convergence, John Wiley, 1986.
\n[etheridgeXXXXa] Alison Etheridge, Diffusion Process Models in Mathematical Genetics [pdf<\/a>].
\n[hurn2007a] A. S. Hurn, J. Jeisman and K.A. Lindsay, Seeing the Wood for the Trees: A Critical Evaluation of Methods to Estimate the Parameters of Stochastic Differential Equations. Journal of Financial Econometrics, 3(5): 390-455, 2007.
\n[kallenberg2002a] Olav Kallenberg, Foundations of modern probability, Springer, 2nd edition, 2002.
\n[klebaner2001a] F. C. Klebaner and R. Liptser, Asymptotic Analysis And Extinction In A Stochastic Lotka-Volterra Model, The Annals of Applied Probability, 4 (11):1263-1291, 2001.
\n[klebaner2005b] Fima C. Klebaner, Introduction to Stochastic Calculus with Applications, Imperial College Press, 2nd Edition, 2005.
\n[kurtz1970a] Thomas G. Kurtz, Solutions of Ordinary Differential Equations as Limits of Pure Jump Markov Processes, J. Applied Probability, 7: 49-58, 1970.
\n[kurtz1971b] Thomas G. Kurtz, Limit Theorems for Sequences of Jump Markov Processes Approximating Ordinary Differential Processes, Journal of Applied Probability, 9:344-356, 1971.
\n[kurtz1978a]\u00a0Thomas G. Kurtz, Strong approximation theorems for density dependent Markov chains, Stochastic Processes and Applications, 6: 223-240,1978.
\n[meleard2009a] Sylvie M\u00e9l\u00e9ard, Mod\u00e8les Al\u00e9atoires en \u00c9cologie et \u00c9volution, cours de l’\u00c9cole Polytechnique [pdf<\/a>]
\n[stephens2000a] Stephens, M. and Donnelly, P. (2000). Inference in Molecular Population Genetics. Journal of the Royal Statistical Society, Series B, 62, 605-655. [ps.gz]
\n[tavare2001a] Simon Tavar\u00e9, Ancestral Inference in Population Genetics, cours \u00e0 l’\u00c9cole d’\u00c9t\u00e9 de St.-Flour, 2001.<\/p>\n","protected":false},"excerpt":{"rendered":"