Fabien Campillo
Publications
Publications
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Stochastic modeling of the anaeorobic model AM2b13th Africain Conference on Research in Computer Science and Applied Mathematics (CARI 2016), Oct 2016, Tunis, Tunisia |
Stochastic differential equations in population dynamics, between discrete and deterministic models2015 Joint Meeting AMS/EMS/SPM, Jun 2015, Porto, Portugal |
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Inferring land use dynamics by semi-Markov model12. African Conference on Research in Computer Science and Applied Mathematics, Institut National de Recherche en Informatique et en Automatique (INRIA). Sophia Antipolis, FRA., Oct 2014, Saint-Louis, Senegal. pp.1-8 |
Stochastic models for the chemostat at different scales15th Applied Stochastic Models and Data Analysis International Conference (ASMDA 2013), June 25--28, Jun 2013, Barcelona, Spain. 240 p |
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Markov analysis of land use dynamics: A Case Study in Madagascar11. Colloque Africain sur la Recherche en Informatique et en Mathématiques Appliquées (CARI’2012), Oct 2012, Alger, Algeria |
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Particle filtering for the chemostat20th Mediterranean Conference on Control and Automation (MED 2012), Barcelona, Spain, July 3-6, IEEE Control Systems Society. FRA., Jul 2012, Barcelona, Spain. pp.364-371, ⟨10.1109/MED.2012.6265665⟩ |
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Analyse bayésienne de courbes de croissance de poulets par un modèle hiérarchique défini à partir d'une équation différentielle stochastique à processus d'erreur autocorrélée44. Journées de la Société Française de Statistique (SFdS 2012), May 2012, Bruxelles, Belgique. 6 p |
Stochastic modeling: a simulation (and analytical) approach2nd French-Chilean Workshop on Bioprocess Modeling Pucón, January 16-17, Jan 2012, Pucon, Chile |
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Monte Carlo simulation and mathematical analysis of an individual-based model for clonal plant dynamics54th Symposium of the International Association for Vegetation Science (IAVS), Jun 2011, Lyon, France. n. p |
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Stochastic Models for the Chemostat7th International Congress on Industrial and Applied Mathematics, Jul 2011, Vancouver, Canada |
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Stochastic models for the chemostat4th International Conference on Approximation Methods and Numerical Modelling in Environment and Natural Resources (MAMERN11), May 2011, Saidia, Morocco |
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An individual-based model for clonal plant dynamics4th International Conference on Approximation Methods and Numerical Modelling in Environment and Natural Resources (MAMERN11), May 2011, Saidia, Morocco. 4 p |
Simulation and Analysis of a Markovian Individual-Based Model for Clonal Plant Dynamics7th International Congress on Industrial and Applied Mathematics, Jul 2011, Vancouver, Canada. n.p |
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Modèles logistiques déterministes et stochastiquesCARI 2010: 10è Colloque Africain sur la Recherche en Informatique et en Mathématiques Appliquées, Oct 2010, Yamoussoukro, Côte d’Ivoire. pp.110-118 |
Une approche originale pour la modélisation des biofilms, ou un aller-retour entre IBM et EDOEcologie 2010, 2010, Montpellier, France |
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A Markovian individual-based model for terrestrial plant dynamicsInternational Conference on Approximation Methods and Numerical Modelling in Environment and Natural Resources, Jun 2009, Pau, France. pp.62-65 |
Stochastic spatio-temporal modeling of forest dynamicsInternational Biometric Conference, Jul 2008, Dublin, Ireland |
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Stochastic spatio-temporal modeling of forest dynamics24. International Biometric Conference, Jul 2008, Dublin, Ireland. n.p |
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Individual-based Modelling of Spatio-temporal of Forest DynamicsJoint Meeting of the Statistical Society of Canada and the Société Française de Statistique, May 2008, Ottawa, Canada. n.p |
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Un modèle markovien de transition agraireInternational African Conference on Research in Computer Science and Applied mathematics, Oct 2008, Rabat, Maroc. pp.101-108 |
Modélisation spatialement explicite d'une dynamique forestière et inférenceJournées MAS de la SMAI, Aug 2008, Rennes, France. n.p |
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Particle based confidence intervals2. International Operational Modal Analysis Conference, Apr 2007, Copenhague, Denmark. 7 p |
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Bayesian numerical inference for markovian models. Application to tropical forest dynamics.2. International Conference on Approximation Methods and Numerical Modelling in Environment and Natural Resources, Jul 2007, Grenada, Spain. pp.53-56 |
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Bayesian numerical inference for hidden Markov modelsInternational Conference on Applied Statistics for Development in Africa Sada'07, Feb 2007, Cotonou, Benin. 6 p |
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Particle based confidence intervalsInternational Operational Modal Analysis Conference (IOMAC), Apr 2007, Copenhagen, Denmark |
Modélisation probabiliste et inférence bayésienneConférence en l'honneur de Claude Lobry, Sep 2007, Saint-Louis, Senegal. 46 p |
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Modélisation probabiliste et inférence bayésienneConférence en l'honneur de Claude Lobry, Sep 2007, Saint-Louis du Sénégal, Senegal |
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Bayesian numerical inference for Markovian models -- Application to tropical forest dynamicsInternational Conference on Approximation Methods and Numerical Modelling in Environment and Natural Resources, Jul 2007, Granada, Spain. pp.53-56 |
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Convolution particle filtering for parameter estimation in general state-space modelsProceedings of the 45th IEEE Conference on Decision and Control, San Diego (USA), Dec 2006, San Diego, United States. pp.2159-2164, ⟨10.1109/CDC.2006.376751⟩ |
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Analyse bayésienne de modèles markoviens d'évolution de ressources naturellesInternational African Conference on Research in Computer Science and Applied mathematics (CARI'06), Nov 2006, Cotonou, Bénin |
Nonlinear system fault detection and isolation based on bootstrap particle filtersProceedings of the joint 44th Conference on Decision and Control and 8th European Control Conference, Seville 2005, IEEE--CSS, Dec 2005, Seville, Spain. pp.3821--3826, ⟨10.1109/CDC.2005.1582757⟩ |
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Recursive maximum likelihood estimation for structural health monitoring: tangent filter implementations44th IEEE Conference on Decision and Control, and the European Control Conference, Dec 2005, Seville, Spain. pp.5923 - 5928, ⟨10.1109/CDC.2005.1583109⟩ |
LAN in partially observed small noise diffusions6th joint meeting of the Institute of Mathematical Statistics and the Bernoulli Society, IMS, Jul 2004, Barcelona, Spain |
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Modèles à espace d'états non linéaires/non gaussiens et inférence bayésienne par méthode {MCMC} -- Une application en évaluation des stocks halieutiquesXXXVIèmes Journées de Statistique, May 2004, Montpellier, France |
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{MCMC} for non linear/non {Gaussian} state-space models: Application to fishery stock assessment7th African Conference on Research in Computer Science, Nov 2004, Hammamet, Tunisia |
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A Monte Carlo Method to Compute the exchange coefficient in the double porosity modelMonte Carlo and probabilistic methods for partial differential equations (Monte Carlo, 2000), 2000, Monte Carlo, pp.65-72 |
Threshold selection in the GLR test for change detection in partially observed diffusion processesProceedings of the 2nd European Control Conference, Groningen 1993, Jun 1993, Groningen, Netherlands. pp.134--138 |
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Likelihood based statistics for partially observed diffusion processesProceedings of the 1st European Control Conference, Grenoble 1991, Jul 1991, Grenoble, France. pp.2290--2295 |
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Bacterial biofilms – towards ‘hybrid’ modellingComplex Systems: from biology to landscapes, Agropolis International Editions, 2019 |
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Les biofilms bactériens: vers une modélisation « hybride »Systèmes complexes, de la biologie aux territoires, 23, Agropolis International Editions, pp.33, 2018, Dossiers d'Agropolis International |
Modéliser les plantes et leurs utilisationsLISA (Lettre de l'INRIA Sophia Antipolis), 12, n.p., 2008 |
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Effective diffusion in vanishing viscosityD. Cioranescu and J.-L. Lions. Nonlinear partial differential equations and their applications. Collège de France Seminar, Vol. XIV (Paris, 1997/1998), 31, North-Holland, pp.133--145, 2002 |
Recycler les eaux usées pour l'irrigation2013 |
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Modélisation en dynamique des populations2013, pp.26-27 |
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IBM of clonal plant dynamics2012 |
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Sequential Monte Carlo (particle filtering) for tracking2009 |
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Sequential Monte Carlo (particle filtering) for tracking2009 |
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Modéliser les plantes et leurs utilisations : Simuler une forêt ?2008 |
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Modéliser les plantes et leurs utilisations2008, n.p |
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Multiple bursting patterns in Lateral Habenula neurons: experiments and computational model2025 |
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Mean-field limit of interacting 2D nonlinear stochastic spiking neurons2019 |
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Effect of population size in a Prey-Predator model2011 |
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A spatially explicit Markovian individual-based model for terrestrial plant dynamics2010 |
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Le chémostat IBM2010 |
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Quelques applications des processus de diffusion: filtrage/statistique - contrôle - homogénéisationMathématiques [math]. Université Rennes 1, 2004 |
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Modèles de Markov cachés et filtrage particulaireDEA. Université du Sud Toulon-Var, 2006 |