{"id":79,"date":"2012-08-07T12:27:18","date_gmt":"2012-08-07T12:27:18","guid":{"rendered":"http:\/\/www-sop.inria.fr\/members\/Fabien.Campillo\/?page_id=79"},"modified":"2023-12-14T11:50:36","modified_gmt":"2023-12-14T11:50:36","slug":"publications","status":"publish","type":"page","link":"http:\/\/localhost:8888\/wordpress\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"\n

International journals<\/h2>\n\n\n\n
    \n
  1. S. Nyobe, F. Campillo, S. Moto, and V. Rossi. \u201cThe one step fixed-lag particle smoother as a strategy to improve the prediction step of particle filtering\u201d.\u00a0Revue Africaine de la Recherche en Informatique et Math\u00e9matiques Appliqu\u00e9es. 39. 2023. [PDF<\/a>]<\/li>\n\n\n\n
  2. E. Pavlidis, F. Campillo, A. Goldbeter & M. Desroches. \u201cMultiple-timescale dynamics, mixed mode oscillations and mixed affective states in a model of Bipolar Disorder\u201d. In: Cognitive Neurodynamics (2022). [PDF<\/a>]<\/li>\n\n\n\n
  3. F. Campillo, M. Chebbi & S. Toumi. \u201cStochastic modeling for biotechnologies Anaerobic model AM2b\u201d. In: Revue Africaine de la Recherche en Informatique et Math\u00e9matiques Appliqu\u00e9es Volume 28 \u2013 2017 \u2013 Mathematics for Biology and the Environment (2019), pp. 13\u201323. [PDF<\/a>]<\/li>\n\n\n\n
  4. A. Chizhov, F. Campillo, M. Desroches, A. Guillamon & S. Rodrigues. \u201cConductance-Based Refractory Density Approach for a Population of Bursting Neurons\u201d. In: Bulletin of Mathematical Biology (2019). [PDF<\/a>]<\/li>\n\n\n\n
  5. F. Campillo, N. Champagnat & C. Fritsch. \u201cOn the variations of the principal eigenvalue with respect to a parameter in growth-fragmentation models\u201d. In: Communication in Mathematical Sciences 15.7 (2017), pp. 1801\u20131819. [PDF<\/a>] [preprint<\/a>]<\/li>\n\n\n\n
  6. F. Campillo, M. Chebbi & S. Toumi. \u201cStochastic modeling for biotechnologies \u2013 Anaerobic model AM2b\u201d. In: Revue Africaine de la Recherche en Informatique et Math\u00e9matiques Appliqu\u00e9es (2017). [PDF<\/a>]<\/li>\n\n\n\n
  7. F. Campillo, M. Joannides & I. Larramendy-Valverde. \u201cParameter identification for a stochastic logistic growth model with extinction\u201d. In: Communications in Statistics \u2013 Simulation and Computation 47.3 (2017), pp. 721\u2013737. [PDF<\/a>] [preprint<\/a>]<\/li>\n\n\n\n
  8. C. Fritsch, F. Campillo & O. Ovaskainen. \u201cA numerical approach to determine mutant invasion fitness and evolutionary singular strategies\u201d. In: Theoretical Population Biology 115 (2017), pp. 89\u201399. [PDF<\/a>] [preprint<\/a>]<\/li>\n\n\n\n
  9. F. Campillo, N. Champagnat & C. Fritsch. \u201cLinks between deterministic and stochastic approaches for invasion in growth-fragmentation-death models\u201d. In: Journal of Mathematical Biology (2016), pp. 1\u201341. [PDF<\/a>] [preprint<\/a>]<\/li>\n\n\n\n
  10. F. Campillo, M. Joannides & I. Larramendy\u2013Valverde. \u201cAnalysis and approximation of a stochastic growth model with extinction\u201d. In: Methodology and Computing in Applied Probability 18.2 (2016). [PDF<\/a>] [preprint<\/a>]<\/li>\n\n\n\n
  11. C. Fritsch , J. Harmand & F. Campillo. \u201cA modeling approach of the chemostat\u201d. In: Ecological Modelling 299.0 (2015), pp. 1\u201313. [PDF<\/a>] [preprint<\/a>]<\/li>\n\n\n\n
  12. F. Campillo & C. Fritsch. \u201cWeak convergence of a mass-structured individual-based model\u201d. In: Applied Mathe- matics & Optimization 72.1 (2014) [PDF<\/a>] [preprint<\/a>] Erratum: Applied Mathematics & Optimization 72(1):75-76, 2015 [PDF<\/a>] \u2013 Alas, this paper contains another more fundamental error: a compactness assumption is violated preventing to prove the uniqueness of the IBM, it is possible to circumvent this difficulty by assuming that the underlying SDE lives in a compact, which is not a problem in terms of applications; however, we are looking for a more mathematically elegant approach.<\/em><\/li>\n\n\n\n
  13. F. Campillo, D. Herv\u00e9, A. Raherinirina & R. Rakotozafy. \u201cMarkov analysis of land use dynamics: A case study in Madagascar\u201d. In: Revue Africaine de la Recherche en Informatique et Math\u00e9matiques Appliqu\u00e9es 17 (2014), pp. 1\u201322. [PDF<\/a>] [preprint<\/a>]<\/li>\n\n\n\n
  14. F. Campillo, M. Joannides & I. Larramendy-Valverde. \u201cApproximation of the Fokker-Planck equation of the stochastic chemostat\u201d. In: Mathematics and Computers in Simulation 99 (2014), pp. 37\u201353. [PDF<\/a>] [preprint<\/a>]<\/li>\n\n\n\n
  15. C. Deygout, A. Lesne, F. Campillo & A. Rapaport. \u201cHomogenised model linking microscopic and macroscopic dynamics of a biofilm: Application to growth in a plug flow reactor\u201d. In: Ecological Modelling 250 (2013), pp. 15\u2013 24. [PDF<\/a>] [preprint<\/a>]<\/li>\n\n\n\n
  16. F. Campillo & N. Champagnat. \u201cSimulation and analysis of an individual-based model for graph-structured plant dynamics\u201d. In: Ecological Modelling 234 (2012), pp. 93\u2013105 [PDF<\/a>] [preprint<\/a>]<\/li>\n\n\n\n
  17. F. Campillo & C. Lobry. \u201cEffect of population size in a predator-prey model\u201d. In: Ecological Modelling 246 (2012), pp. 1\u201310. [PDF<\/a>] [preprint<\/a>]<\/li>\n\n\n\n
  18. F. Campillo, M. Joannides & I. Larramendy-Valverde. \u201cStochastic modeling of the chemostat\u201d. In: Ecological Modelling 222.15 (2011), pp. 2676\u20132689 [PDF<\/a>] [preprint<\/a>]<\/li>\n\n\n\n
  19. F. Campillo, R. Rakotozafy & V. Rossi. \u201cParallel and interacting Markov chain Monte Carlo algorithm\u201d. In: Mathematics and Computers in Simulation 79 (2009), pp. 3424\u20133433. [PDF<\/a>] [preprint<\/a>]<\/li>\n\n\n\n
  20. F. Campillo & V. Rossi. \u201cConvolution particle filter for parameter estimation in general state-space models\u201d. In: IEEE Transactions on Aerospace and Electronic Systems (2009), pp. 1063\u20131071. [PDF<\/a>] [preprint<\/a>]<\/li>\n\n\n\n
  21. F. Campillo, P. Cantet, R. Rakotozafy & V. Rossi. \u201cM\u00e9thodes MCMC en interaction pour l\u2019\u00e9valuation de ressources naturelles\u201d. In: ARIMA 8 (2008), pp. 64\u201380. [PDF<\/a>]<\/li>\n\n\n\n
  22. F. Campillo, V. Rossi & R. Rakotozafy. \u201cComputational probability modeling and Bayesian inference\u201d. In: ARIMA \u2013 2007 Conference in Honor of Claude Lobry, 2008, pp. 123\u2013143. [PDF<\/a>]<\/li>\n\n\n\n
  23. C. Gaucherel, F. Campillo, L. Misson, J. Guiot & J.-J. Boreux. \u201cParameterization of a process-based tree-growth model: comparison of optimization, MCMC and particle filtering algorithms\u201d. In: Environmental Modelling and Software 23.10-11 (2008), pp. 1280\u20131288. [PDF<\/a>]<\/li>\n\n\n\n
  24. F. Campillo & A. Lejay. \u201cA Monte Carlo method without grid for a fractured porous domain model\u201d. In: Monte Carlo Methods and Applications 8.2 (2002), pp. 129\u2013148. [PDF<\/a>] [preprint<\/a>]<\/li>\n\n\n\n
  25. F. Campillo, M. Klepstyna & A. Piatnitski. \u201cHomogenization of random parabolic operator with large potential\u201d. In: Stochastic Processes and Their Applications 93 (2001), pp. 57\u201385. [PDF<\/a>] [preprint<\/a>]<\/li>\n\n\n\n
  26. F. Campillo & A. Lejay. \u201cA Monte Carlo method to compute the exchange coefficient in the double porosity model\u201d. In: Monte Carlo Methods and Applications 7.1\u20132 (2001), pp. 65\u201372. [PDF<\/a>] [preprint<\/a>]<\/li>\n\n\n\n
  27. F. Campillo, Y. Kutoyants & F. L. Gland. \u201cSmall Noise asymptotics of the GLR test for off-line change detection in misspecified diffusion processes\u201d. In: Stochastics and Stochastics Reports 70.1\u20132 (2000), pp. 109\u2013129. [PDF<\/a>]<\/li>\n\n\n\n
  28. F. Campillo & F. Le Gland. \u201cMLE for partially observed diffusions: direct maximization vs. the EM algorithm\u201d. In: Stochastic Processes and their Applications 33.2 (1989), pp. 245\u2013274 [PDF<\/a>] [preprint<\/a>]<\/li>\n\n\n\n
  29. F. Campillo. \u201cLa m\u00e9thode d\u2019approximation de Gauss-Galerkin en filtrage non lin\u00e9aire\u201d. In: RAIRO M2AN 20.2 (1986), pp. 203\u2013223. [PDF<\/a>]<\/li>\n<\/ol>\n\n\n\n

    Reviewed international conferences<\/h2>\n\n\n\n
      \n
    1. F. Campillo, M. Chebbi & S. Toumi. \u201cStochastic modeling of the anaerobic model AM2b: Models at different scales\u201d. In: 13th Africain Conference on Research in Computer Science and Applied Mathematics (CARI 2016), Tunisia, Tunis, October 11-14. 2016, pp. 484\u2013393. [link<\/a>]<\/li>\n\n\n\n
    2. F. Campillo. \u201cStochastic differential equations in population dynamics, between discrete and deterministic models\u201d. In: American Mathematical Society, European Mathematical Society, Portuguese Mathematical Society joint meeting, Porto, Portugal, June 10\u201313. (Abstract). 2015.<\/li>\n\n\n\n
    3. A. Raherinirina, D. Herv\u00e9 & F. Campillo. \u201cInferring land use dynamics by semi-Markov model\u201d. In: Twelfth African Conference on Research in Computer Science and Applied Mathematics (CARI 2014), Saint-Louis (Senegal). 2014, pp. 1\u20138. [link<\/a>]<\/li>\n\n\n\n
    4. F. Campillo, M. Joannides & I. Larramendy-Valverde. \u201cStochastic models of a chemostat at different scales\u201d. In: Applied Stochastic Models and Data Analysis (ASMDA2013) The 15th Conference of the ASMDA International Society. Matar\u00f3, Barcelona, Spain 25 \u2013 28 June. 2013. Poster.<\/li>\n\n\n\n
    5. B. Benyahia, F. Campillo, B. Cherki & J. Harmand. \u201cParticle filtering for the chemostat\u201d. In: 20th Mediterranean Conference on Control and Automation (MED 2012), Barcelona, Spain, July 3-6. 2012, pp. 364\u2013371. [PDF<\/a>] [link<\/a>]<\/li>\n\n\n\n
    6. A. Bize, F. Campillo, C. Deygout, C. Lobry & M. Joannides. \u201cAn individual-based modeling approach for cellulose degradation by microbial biofilms\u201d. In: Biofilm 5 International Conference, Paris, December 10-12. 2012. Poster, best poster award [PDF<\/a>].<\/li>\n\n\n\n
    7. F. Campillo, D. Herv\u00e9, A. Raherinirina & R. Rakotozafy. \u201cMarkov analysis of land use dynamics: A Case Study in Madagascar\u201d. In: Eleventh African Conference on Research in Computer Science and Applied Mathematics (CARI 2012), Algiers, Algeria. 2012.<\/li>\n\n\n\n
    8. B. Fontez, D. I. Batonon, F. Campillo & P. Lescoat. \u201cAnalyse bay\u00e9sienne de courbes de croissance de poulets par un mod\u00e8le hi\u00e9rarchique d\u00e9fini \u00e0 partir d\u2019une \u00e9quation diff\u00e9rentielle stochastique \u00e0 processus d\u2019erreur autocorr\u00e9l\u00e9e\u201d. In: 44i\u00e8me Journ\u00e9es de Statistique, 21 au 25 mai, Bruxelles. 2012. [PDF<\/a>]<\/li>\n\n\n\n
    9. F. Campillo & N. Champagnat. \u201cAn individual-based model for clonal plant dynamics\u201d. In: MAMERN11: 4th International Conference on Approximation Methods and Numerical Modelling in Environment and Natural Resources. Saidia, Morocco. May 23-26, 2011. 2011. [PDF<\/a>]<\/li>\n\n\n\n
    10. F. Campillo, M. Joannides & I. Larramendy-Valverde. \u201cStochastic models for the chemostat\u201d. In: MAMERN11: 4th International Conference on Approximation Methods and Numerical Modelling in Environment and Natural Resources. Saidia, Morocco, May 23-26, 2011. 2011. [PDF<\/a>]<\/li>\n\n\n\n
    11. F. Campillo, M. Joannides & I. Larramendy-Valverde. \u201cStochastic models for the chemostat\u201d. In: 7th International Congress on Industrial and Applied Mathematics (ICIAM). Vancouver, Canada. 2011. [slides<\/a>]<\/li>\n\n\n\n
    12. F. Campillo & M. Joannides. \u201cMod\u00e8les logistiques d\u00e9terministes et stochastiques\u201d. In: Proceedings of the 10th International African Conference on Research in Computer Science and Applied mathematics (CARI\u201910), October 18\u201321, Yamoussoukro, Ivory Coast. 2010.<\/li>\n\n\n\n
    13. F. Campillo & M. Joannides. \u201cA Markovian individual-based model for terrestrial plant dynamics\u201d. In: Interna- tional Conference on Approximation Methods and Numerical Modelling in Environment and Natural Resources, MAMERN\u201909, Pau, France. 2009. [PDF<\/a>]<\/li>\n\n\n\n
    14. F. Campillo & N. Desassis. \u201cStochastic spatio-temporal modeling of forest dynamics\u201d. In: International Biometric Conference, 13-18 July, 2008, Dublin, Irland. Abstract. 2008. [slides<\/a>]<\/li>\n\n\n\n
    15. F. Campillo, N. Desassis & V. Rossi. \u201cIndividual-based Modelling of Spatio-temporal of Forest Dynamics\u201d. In: Joint Meeting of the Statistical Society of Canada and the Soci\u00e9t\u00e9 Fran\u00e7aise de Statistique May 25 to 29, 2008 at the Ottawa Congress Centre. Abstract. 2008.<\/li>\n\n\n\n
    16. F. Campillo, A. Raherinirina & R. Rakotozafy. \u201cUn mod\u00e8le markovien de transition agraire\u201d. In: Proceedings of the 8th International African Conference on Research in Computer Science and Applied mathematics (CARI\u201908), October 27-30, Rabat, Morocco. 2008.<\/li>\n\n\n\n
    17. F. Campillo, G. Canales & L. Mevel. \u201cParticle based confidence intervals\u201d. In: International Operational Modal Analysis Conference (IOMAC), Copenhagen, Denmark. 2007. [PDF<\/a>]<\/li>\n\n\n\n
    18. F. Campillo, R. Rakotozafy & V. Rossi. \u201cBayesian numerical inference for hidden Markov models\u201d. In: International Conference on Applied Statistics for Development in Africa Sada\u201907. 2007. [PDF<\/a>]<\/li>\n\n\n\n
    19. F. Campillo, R. Rakotozafy & V. Rossi. \u201cBayesian numerical inference for Markovian models \u2013 Application to tropical forest dynamics\u201d. In: International Conference on Approximation Methods and Numerical Modelling in Environment and Natural Resources, MAMERN\u201907, Granada, Spain. 2007. [PDF<\/a>]<\/li>\n\n\n\n
    20. F. Campillo, R. Rakotozafy & V. Rossi. \u201cAnalyse bay\u00e9sienne de mod\u00e8les markoviens d\u2019\u00e9volution de ressources naturelles\u201d. In: Proceedings of the 9th International African Conference on Research in Computer Science and Applied mathematics (CARI\u201906), November 6-9, Cotonou, B\u00e9nin. 2006.<\/li>\n\n\n\n
    21. F. Campillo & V. Rossi. \u201cConvolution particle filtering for parameter estimation in general state-space models\u201d. In: Proceedings of the 45th IEEE Conference on Decision and Control, San Diego (USA). Dec. 2006, pp. 2159\u20132164. [PDF<\/a>]<\/li>\n\n\n\n
    22. F. Campillo & L. Mevel. \u201cRecursive maximum likelihood estimation for structural health monitoring: tangent filter implementations\u201d. In: Proceedings of the 44th IEEE Conference on Decision and Control and European Control Conference ECC 2005, Sevilla (Spain). IEEE\u2013CSS. Dec. 2005. [PDF<\/a>]<\/li>\n\n\n\n
    23. Q. Zhang, F. Campillo, F. C\u00e9rou & F. LeGland. \u201cNonlinear System Fault Detection and Isolation Based on Bootstrap Particle Filters\u201d. In: Proceedings of the joint 44th IEEE Conference on Decision and Control and 8th European Control Conference, Seville. 2005, pp. 3821\u20133826. [PDF<\/a>]<\/li>\n\n\n\n
    24. F. Campillo & R. Rakotozafy. \u201cMCMC for nonlinear\/non\u2013Gaussian state\u2013space models, Application to fishery stock assessment\u201d. In: CARI\u201904. Hammamet, Tunisia, 2004.<\/li>\n\n\n\n
    25. F. Campillo, M. Klepstyna & A. Piatnitski. \u201cHomogenization of random parabolic operator with large potential in locally periodic media\u201d. In: Applied Stochastic Models and Data Analysis (ASMDA). Ed. by G. Govaert, J. Janssen & N. Limnios. June 2001, pp. 277\u2013282. [PDF<\/a>]<\/li>\n\n\n\n
    26. F. Campillo, M. Klepstyna & A. Piatnitski. \u201cHomogenization of random parabolic operator with large potential\u201d. In: Probability Theory and Mathematical Statistics, Proceedings of the 7th Vilnius Conference. Ed. by B. G. et al. TEV. Vilnius \u2013 VSP. Utrecht, 1999. [PDF<\/a>]<\/li>\n\n\n\n
    27. F. Campillo. \u201cNumerical methods in ergodic control \u2013 Application to semi-active shock-absorbers\u201d. In: International Conference on Systems, Signals, Control, Computers (SSCC\u201998). Durban, South Africa, 1998. [PDF<\/a>]<\/li>\n\n\n\n
    28. H. Bernier, F. Campillo, F. C\u00e9rou, F. L. Gland & R. Rakotozafy. \u201cMassively parallel computing for non\u2013linear filtering\u201d. In: Science on the Connection Machine System, Proceedings of the 2nd European CM Users Meeting, Meudon 1993. Ed. by J. M. Alimi, A. Serna & H. Scholl. Cambridge, MA: Thinking Machines Corporation, 1995, pp. 81\u201391.<\/li>\n\n\n\n
    29. F. Campillo & A. Traor\u00e9. \u201cA stabilization algorithm for linear controlled SDE\u2019s\u201d. In: International Conference on Non Linear Stochastic Dynamics. Hanoi, Vietnam, July 1995, pp. 85\u201395. [PDF<\/a>]<\/li>\n\n\n\n
    30. F. Campillo & A. Traor\u00e9. \u201cA stabilization algorithm for linear controlled SDE\u2019s\u201d. In: 34th IEEE Conference on Deci- sion and Control. Nouvelle Orl\u00e9ans, 1995. [PDF<\/a>]<\/li>\n\n\n\n
    31. F. Campillo & A. Traor\u00e9. \u201cA stabilization algorithm for linear SDE\u2019s\u201d. In: Proceedings of the Third European Control Conference. Roma, 1995, pp. 901\u2013906. [PDF<\/a>]<\/li>\n\n\n\n
    32. F. Campillo & F. Le Gland. \u201cThreshold Selection in the GLR Test for Change Detection in Partially Observed Diffusion Processes\u201d. In: Proceedings of the 2nd European Control Conference, Groningen, June 28-July 1. 1993. [PDF<\/a>]<\/li>\n\n\n\n
    33. F. Campillo, F. C\u00e9rou & \u00c9. Pardoux. \u201cNumerical method for ergodic stochastic control problems: Application to vehicle suspension systems\u201d. In: Proceedings of the 31st IEEE Conference on Decision and Control. Tucson, 1992, pp. 2056\u20132061. [PDF<\/a>]<\/li>\n\n\n\n
    34. F. Campillo & F. Le Gland. \u201cLikelihood-based Statistics for Partially Observed Diffusion Processes\u201d. In: Proceedings of the 1st European Control Conference, Grenoble, July 2-5. 1991. [PDF<\/a>]<\/li>\n\n\n\n
    35. F. Campillo, F. Le Gland & Y. Kutoyants. \u201cAsymptotics of the GLR test for the disorder problem in diffusion processes\u201d. In: Proceedings of the 30th IEEE Conference on Decision and Control (CDC), Brighton. 1991.<\/li>\n\n\n\n
    36. F. Campillo, J. Nekkachi & \u00c9. Pardoux. \u201cNumerical methods in ergodic stochastic control, application to semi- active vehicle suspensions\u201d. In: Proceedings of the 29th IEEE Conference on Decision and Control. Honolulu, 1990, pp. 2350\u20132353. [PDF<\/a>]<\/li>\n\n\n\n
    37. F. Campillo. \u201cOptimal ergodic control for a class of nonlinear stochastic systems \u2013 Application to Semi-Active Vehicle Suspensions\u201d. In: Proceedings of the 28th IEEE Conference on Decision and Control, Tampa. 1989, pp. 1190\u20131195. [PDF<\/a>]<\/li>\n\n\n\n
    38. S. Bellizzi, F. Campillo, R. Bouc & \u00c9. Pardoux. \u201cContr\u00f4le optimal semi-actif de suspension de v\u00e9hicule\u201d. In: Analysis and Optimization of Systems, Antibes 1988. Ed. by A. Bensoussan & J. Lions. Vol. 111. Lecture Notes in Control and Information Sciences. Springer\u2013Verlag, 1988, pp. 689\u2013699. [PDF<\/a>]<\/li>\n\n\n\n
    39. F. Campillo. \u201cTesting for a change-point in linear systems with incomplete observation\u201d. In: Asymptotic theory for non i.i.d. processes (Luminy-Marseille, 1984). Vol. 8. Travaux Rech. Brussels: Publications des Facult\u00e9s Universi- taires Saint\u2013Louis, 1986, pp. 225\u2013242. [PDF<\/a>]<\/li>\n<\/ol>\n\n\n\n

      National conferences<\/h2>\n\n\n\n
        \n
      1. A. Bize, F. Campillo, C. Deygout & M. Joannides. \u201cUn mod\u00e8le individu-centr\u00e9 de d\u00e9gradation bact\u00e9rienne d\u2019une bille de cellulose\u201d. In: Les Biofilms au service des Biotechnologies \u2014 Journ\u00e9es th\u00e9matiques du R\u00e9seau National Biofilm 24\u201326 Janvier 2012, Narbonne. 2012. <\/li>\n\n\n\n
      2. F. Campillo, N. Desassis & V. Rossi. \u201cMod\u00e9lisation spatialement explicite d\u2019une dynamique foresti\u00e8re et inf\u00e9rence\u201d. In: Journ\u00e9es MAS de la SMAI, Rennes. Abstract. Aug. 2008. <\/li>\n\n\n\n
      3. F. Campillo & R. Rakotozafy. \u201cMod\u00e8les \u00e0 espace d\u2019\u00e9tats non lin\u00e9aires\/non gaussiens et inf\u00e9rence bay\u00e9sienne par m\u00e9thode MCMC \u2013 une application en \u00e9valuation des stocks halieutiques\u201d. In: XXXVI\u00e8mes Journ\u00e9es de Statistique \u2013 Montpellier, 24 au 28 mai 2004. Montpellier, 2004. [PDF<\/a>]<\/li>\n\n\n\n
      4. F. Campillo, L. Dudoignon, E. Remy & J.-L. Risler. \u201cVariation du taux d\u2019\u00e9volution le long de s\u00e9quences de prot\u00e9ines\u201d. In: Recueil des Actes des Journ\u00e9es Ouvertes Biologie Informatique Math\u00e9matiques \u2013 JOBIM 2001. Ed. by L. Duret, C. Gaspin & T. Schiex. Toulouse, 2001. [PDF<\/a>]<\/li>\n\n\n\n
      5. F. Campillo & \u00c9. Remy. Calcul de perm\u00e9abilit\u00e9 effective par m\u00e9thode de Monte Carlo. Journ\u00e9es Scientifiques de l\u2019Andra, Nancy. 1999. [PDF<\/a>] [poster<\/a>]<\/li>\n\n\n\n
      6. F. Campillo & S. Bellizzi. \u201cM\u00e9thode de gradient stochastique pour le contr\u00f4le de suspensions semi-actives\u201d. In: Contr\u00f4le Actif Vibro-Acoustique et Dynamique Acoustique, Rencontres Scientifiques du Cinquantenaire du LMA. Marseille: CNRS, 1991, pp. 189\u2013198. [PDF<\/a>]<\/li>\n\n\n\n
      7. F. Campillo & F. Le Gland. \u201cApplication du filtrage non lin\u00e9aire optimal \u00e0 la restitution d\u2019orbite de transfert\u201d. In: M\u00e9canique Spatiale, Toulouse 1989. Toulouse: Cepadues, 1990.<\/li>\n\n\n\n
      8. F. Campillo & F. Le Gland. \u201cApproximation particulaire en filtrage non lin\u00e9aire. Application \u00e0 la trajectographie\u201d. In: 22\u00e8me Congr\u00e8s National d\u2019Analyse Num\u00e9rique, Loctudy. 1990, pp. 242\u2013243. [PDF<\/a>]<\/li>\n\n\n\n
      9. F. Campillo & F. Le Gland. \u201cApplication du filtrage non-Lin\u00e9aire en trajectographie passive\u201d. In: 12\u00e8me Colloque GRETSI sur le Traitement du Signal, Juan les Pins, June 12-16. 1989. [PDF<\/a>]<\/li>\n<\/ol>\n\n\n\n

        Book chapters<\/h2>\n\n\n\n
          \n
        1. F. Campillo & A. Piatnitski. \u201cEffective diffusion in vanishing viscosity\u201d. In: Nonlinear partial differential equations and their applications. Coll\u00e8ge de France Seminar, Vol. XIV (Paris, 1997\/1998). Ed. by D. Cioranescu & J.-L. Lions. Vol. 31. Studies in Mathematics and its Applications. Amsterdam: North-Holland, 2002, pp. 133\u2013145. [PDF<\/a>] [preprint<\/a>]<\/li>\n\n\n\n
        2. F. Campillo. \u201cOptimal ergodic control of nonlinear stochastic systems\u201d. In: Probabilistic Methods in Applied Physics. Ed. by P. Kr\u00e9e & W. Wedig. Vol. 451. Lecture notes in physics. Springer\u2013Verlag, 1995, pp. 239\u2013269. [PDF<\/a>]<\/li>\n\n\n\n
        3. F. Campillo & \u00c9. Pardoux. \u201cNumerical methods in ergodic optimal stochastic control and application\u201d. In: Applied Stochastic Analysis, Rutgers University 1991. Ed. by I. Karatzas & D. Ocone. Vol. 177. Lecture Notes in Control and Information Sciences. Springer\u2013Verlag, 1992, pp. 59\u201373. [PDF<\/a>]<\/li>\n\n\n\n
        4. F. Campillo, F. Le Gland & \u00c9. Pardoux. \u201cApproximation of a stochastic ergodic control problem\u201d. In: New Trends in Nonlinear Control Theory, Nantes 1988. Ed. by J. Descusse, M. Fliess, A. Isidori & D. Leborgne. Vol. 122. Lecture Notes in Control and Information Sciences. Springer\u2013Verlag, 1989, pp. 379\u2013395. [PDF<\/a>]<\/li>\n<\/ol>\n\n\n\n

          Reports<\/h2>\n\n\n\n
            \n
          1. F. Campillo. The Gauss-Galerkin approximation method in nonlinear filtering. hal-039- 85941. English translation of \u201cFabien Campillo. La m\u00e9thode d\u2019approximation de Gauss- Galerkin en filtrage non lin\u00e9aire. RAIRO M2AN, 20(2): 203-223, 1986\u201d.<\/em> [link<\/a>]. 2023<\/li>\n\n\n\n
          2. F. Campillo. Markovian individual-based models in computational ecology. Tech. rep. ANR project MODECOL \u2013 Intermediate report, June 2009.<\/li>\n\n\n\n
          3. F. Campillo & L. Dudoignon. Un mod\u00e8le probabiliste d\u2019\u00e9volution de prot\u00e9ines. Rapport de Recherche RR-4332. INRIA, Dec. 2001. [link<\/a>]<\/li>\n\n\n\n
          4. F. Campillo, F. C\u00e9rou, F. L. Gland & R. Rakotozafy. Particle and cell approximations for nonlinear filtering. Rapport de Recherche RR-2567. INRIA, June 1995. [link<\/a>]<\/li>\n\n\n\n
          5. H. Bernier, F. Campillo, F. C\u00e9rou & F. L. Gland. Parall\u00e9lisme de donn\u00e9es et filtrage non lin\u00e9aire \u2013 analyse de performance. Rapport Technique RT\u2013167. INRIA, Nov. 1994. [link<\/a>]<\/li>\n\n\n\n
          6. F. Campillo & A. Traor\u00e9. Lyapunov exponents of controlled SDE\u2019s and stabilizability property : Some examples. Rapport de Recherche RR\u20132397. INRIA, Nov. 1994. [link<\/a>]<\/li>\n\n\n\n
          7. F. Campillo, F. Le Gland & Y. Kutoyants. Asymptotics of the GLRT for the disorder problem in diffusion processes. Rapport de Recherche RR\u20131735. INRIA, July 1992. [link<\/a>]<\/li>\n\n\n\n
          8. F. Campillo. Optimal ergodic control of nonlinear stochastic systems. Rapport de Recherche RR\u20131257. INRIA, June 1990. [link<\/a>]<\/li>\n<\/ol>\n\n\n\n

            Other publications<\/h2>\n\n\n\n
              \n
            1. F. Campillo, F. C\u00e9rou, F. L. Gland & R. Rakotozafy. \u201cAlgorithmes parall\u00e8les pour le filtrage non lin\u00e9aire et les \u00e9quations aux d\u00e9riv\u00e9es partielles stochastiques\u201d. In: Bulletin de Liaison de la Recherche en Informatique et en Automatique 141. INRIA, 1993, pp. 21\u201324.<\/li>\n<\/ol>\n\n\n\n

              Theses & HDR<\/h2>\n\n\n\n
                \n
              1. F. Campillo. \u201cQuelques applications des processus de diffusion: filtrage\/statistique \u2013 contr\u00f4le \u2013 homog\u00e9n\u00e9isation\u201d. Habilitation \u00e0 diriger des recherches, Universit\u00e9 Rennes 1, 2004 [PDF<\/a>].<\/li>\n\n\n\n
              2. F Campillo. \u201cFiltrage et D\u00e9tection de Ruptures de Processus Partiellement Observ\u00e9es\u201d, PhD thesis, Th\u00e8se de Troisi\u00e8me Cycle, Universit\u00e9 de Provence, Marseille, 1984. [PDF<\/a>]<\/li>\n\n\n\n
              3. F. Campillo. \u201cLa m\u00e9thode d\u2019approximation de Gauss-Galerkin \u2013 Application \u00e0 l\u2019\u00e9quation du filtrage non lin\u00e9aire\u201d, M\u00e9moire de DEA, Universit\u00e9 de Provence, 1982. Handwritten with a Rotring \ud83d\ude42  [PDF<\/a>]<\/li>\n<\/ol>\n\n\n\n

                Scientific dissemination<\/h2>\n\n\n\n
                  \n
                1. A. Lesne, F. Campillo, and A. Rapaport. \u201cLes biofilms bact\u00e9riens: vers une mod\u00e9lisa- tion \u201chybride\u201d\u201d. In: Syst\u00e8mes complexes, de la biologie aux territoires. 23. Agropolis Fondation, 33. 2018. [link<\/a>]<\/li>\n\n\n\n
                2. F. Campillo. \u201cMod\u00e9lisation en dynamique des populations\u201d. In: TDC \u2013 Textes et documents pour la classe 1062 (2013), pp. 26\u201327. [link<\/a>] [PDF<\/a>]<\/li>\n\n\n\n
                3. J. Harmand, F. Campillo & B. Cherki. Recycler les eaux us\u00e9es pour l\u2019irrigation. Br\u00e8ve de Math\u00e9matiques de la Plan\u00e8te Terre. May 2013. [link<\/a>]<\/li>\n\n\n\n
                4. F. Campillo. \u201cSimuler une for\u00eat ?\u201d In: Mod\u00e9liser les plantes et leurs utilisations. LISA \u2013 Lettre de l\u2019INRIA Sophia Antipolis M\u00e9diterran\u00e9e, 2008. [PDF<\/a>]<\/li>\n<\/ol>\n\n\n\n

                  HAL publication list<\/h2>\n\n\n\n\n