Pierre Barbillon

Jordi Ferrer Savall, Damien Franqueville, Pierre Barbillon, Cyril Benhamou, Patrick Durand, et al.. Sensitivity analysis of spatio-temporal models describing nitrogen transfers, transformations and losses at the landscape scale. Environmental Modelling and Software, Elsevier, 2019, 111, pp.356-367. ⟨10.1016/j.envsoft.2018.09.010⟩. ⟨hal-01595879⟩

Pierre Barbillon, Loic Schwaller, Stéphane Robin, Andrew Flachs, Glenn Davis Stone. Epidemiologic network inference. Statistics and Computing, Springer Verlag (Germany), 2019, ⟨10.1007/s11222-019-09865-1⟩. ⟨hal-02316504⟩

Marie Courbariaux, Pierre Barbillon, Luc Perreault, Eric Parent. Post-processing Multiensemble Temperature and Precipitation Forecasts Through an Exchangeable Normal-Gamma Model and Its Tobit Extension. Journal of Agricultural, Biological, and Environmental Statistics, Springer Verlag, 2019, 24 (2), pp.309-345. ⟨10.1007/s13253-019-00358-2⟩. ⟨hal-02316505⟩

Timothée Tabouy, Pierre Barbillon, Julien Chiquet. Variational Inference for Stochastic Block Models From Sampled Data. Journal of the American Statistical Association, Taylor & Francis, 2019, pp.1-23. ⟨10.1080/01621459.2018.1562934⟩. ⟨hal-02316509⟩

Jordi Ferrer Savall, Damien Franqueville, Pierre Barbillon, Cyril Benhamou, Patrick Durand, et al.. Sensitivity analysis of spatio-temporal models describing nitrogen transfers, transformations and losses at the landscape scale. Environmental Modelling & Software, 2019, 111, pp.356-367. ⟨10.1016/j.envsoft.2018.09.010⟩. ⟨hal-02316515⟩

Clélia Bianchi, Jean-François Huneau, Pierre Barbillon, Anne Lluch, Manon Egnell, et al.. A clear trade-off exists between the theoretical efficiency and acceptability of dietary changes that improve nutrient adequacy during early pregnancy in French women: Combined data from simulated changes modeling and online assessment survey. PLoS ONE, Public Library of Science, 2018, 13 (4), ⟨10.1371/journal.pone.0194764⟩. ⟨hal-01766756⟩

Guillaume Damblin, Pierre Barbillon, Merlin Keller, Alberto Pasanisi, Eric Parent. Adaptive Numerical Designs for the Calibration of Computer Codes. SIAM/ASA Journal on Uncertainty Quantification, ASA, American Statistical Association, 2018, 6 (1), pp.151-179. ⟨10.1137/15M1033162⟩. ⟨hal-02316517⟩

Pierre Barbillon, Célia Barthélémy, Adeline Samson. Parametric estimation of complex mixed models based on meta-model approach. Statistics and Computing, Springer Verlag (Germany), 2017, 27 (4), pp.1111-1128. ⟨10.1007/s11222-016-9674-x⟩. ⟨hal-01162351⟩

Alberto Pasanisi, Pierre Barbillon, Bertrand Iooss, Hervé Monod. Éditorial du numéro spécial : Expériences numériques, analyse d'incertitude et de sensibilité. Journal de la Société Française de Statistique, Société Française de Statistique et Société Mathématique de France, 2017, 158 (1), pp.1. ⟨hal-01606787⟩

Marie Courbariaux, Pierre Barbillon, Éric Parent. Water flow probabilistic predictions based on a rainfall–runoff simulator: a two-regime model with variable selection. Journal of Agricultural, Biological, and Environmental Statistics, Springer Verlag, 2017, 22 (2), pp.194-219. ⟨10.1007/s13253-017-0278-5⟩. ⟨hal-01544622⟩

Pierre Barbillon, Sophie Donnet, Emmanuel Lazega, Avner Bar-Hen. Stochastic block-models for multiplex networks : An application to a multilevel network of researchers. Journal of the Royal Statistical Society: Series A Statistics in Society, Royal Statistical Society, 2017, 180 (1), pp.295-314. ⟨10.1111/rssa.12193⟩. ⟨hal-01520820⟩

Marie Courbariaux, Pierre Barbillon, Eric Parent. Water flow probabilistic predictions based on a rainfall–runoff simulator: a two-regime model with variable selection. Journal of Agricultural, Biological, and Environmental Statistics, Springer Verlag, 2017, 22 (2), pp.194-219. ⟨10.1007/s13253-017-0278-5⟩. ⟨hal-02316529⟩

O. Sauzet,, Cécilia Cammas, P. Barbillon, M.-P. Etienne, D. Montagne. Illuviation intensity and land use change: Quantification via micromorphological analysis. Geoderma, Elsevier, 2016, 266 ( 46-57), ⟨10.1016/j.geoderma.2015.11.035⟩. ⟨hal-01568810⟩

J. Wencelius, M. Thomas, P. Barbillon, E. Garine. Interhousehold variability and its effects on seed circulation networks: a case study from northern Cameroon. Ecology and Society, Resilience Alliance, 2016, 21 (1). ⟨hal-01568945⟩

Caroline Desclee Maredsous, Raish Oozeer, Pierre Barbillon, Tristan Mary-Huard, Corine Delteil, et al.. High-Protein Exposure during Gestation or Lactation or after Weaning Has a Period-Specific Signature on Rat Pup Weight, Adiposity, Food Intake, and Glucose Homeostasis up to 6 Weeks of Age. Journal of Nutrition, American Society for Nutrition, 2016, 146 (1), pp.21--29. ⟨10.3945/jn.115.216465⟩. ⟨hal-01568611⟩

Emmanuel Lazega, Avner Bar-Hen, Pierre Barbillon, Sophie Donnet. Effects of competition on collective learning in advice networks. Social Networks, Elsevier, 2016, 47, pp.1 - 14. ⟨hal-01520660⟩

Agnès Marsset-Baglieri, Gilles Fromentin, Francoise Nau, Gheorghe Airinei, Julien Piedcoq, et al.. The satiating effects of eggs or cottage cheese are similar in healthy subjects despite differences in postprandial kinetics. Appetite, Elsevier, 2015, 90, pp.136-143. ⟨10.1016/j.appet.2015.03.010⟩. ⟨hal-01455220⟩

Pierre Barbillon, Mathieu Thomas, Isabelle Goldringer, Frédéric Hospital, Stéphane Robin. Network impact on persistence in a finite population dynamic diffusion model: Application to an emergent seed exchange network. Journal of Theoretical Biology, Elsevier, 2015, 365, pp.365-376. ⟨10.1016/j.jtbi.2014.10.032⟩. ⟨hal-01194122⟩

Caroline Desclee Maredsous, Corine Delteil, Franois Blachier, Pierre Barbillon, Tristan Mary-Huard, et al.. High protein diet during gestation influences female pups response to dietary challenge in adulthood. FASEB Journal, Federation of American Society of Experimental Biology, 2014, 28 (1). ⟨hal-01568632⟩

Yves Auffray, Pierre Barbillon, Jean-Michel Marin. Bounding rare event probabilities in computer experiments. Computational Statistics and Data Analysis, Elsevier, 2014, 80, pp.153-166. ⟨10.1016/j.csda.2014.06.023 ⟩. ⟨hal-01097166⟩

Guillaume Damblin, Merlin Keller, Alberto Pasanisi, Pierre Barbillon, Éric Parent. Approche décisionnelle bayésienne pour estimer une courbe de fragilité. Journal de la SFdS, 2014, 155 (3), pp.78-103. ⟨hal-01545648⟩

Yves Auffray, Pierre Barbillon, Jean-Michel Marin. Maximin Design on non-hypercube domain and Kernel Interpolation. Statistics and Computing, Springer Verlag (Germany), 2012, 22 (3), pp.703-712. ⟨10.1007/s11222-011-9273-9⟩. ⟨inria-00638728⟩

Y. Auffray, P. Barbillon, J.-M. Marin. Maximin design on non hypercube domains and kernel interpolation. Statistics and Computing, Springer Verlag (Germany), 2012, 22 (3), pp.703-712. ⟨hal-01568752⟩

Pierre Barbillon, Gilles Celeux, Agnès Grimaud, Yannick Lefebvre, Etienne de Rocquigny. Non linear methods for inverse statistical problems. Computational Statistics and Data Analysis, Elsevier, 2011, ⟨10.1016/j.csda.2010.05.030⟩. ⟨inria-00441967⟩

Yves Auffray, Pierre Barbillon, Jean-Michel Marin. Modèles réduits à partir d'expérience numériques. Journal de la Société Française de Statistique, Société Française de Statistique et Société Mathématique de France, 2011, 152 (1), pp.89-102. ⟨http://smf4.emath.fr/Publications/JSFdS/152_1/pdf/sfds_jsfds_152_1_89-102.pdf⟩. ⟨inria-00638735⟩

Pierre Barbillon, Gilles Celeux, Agnès Grimaud, Yannick Lefebvre, Etienne Rocquigny (de). Non linear methods for Inverse Statistical Problems. Computational Statistics and Data Analysis, Elsevier, 2010, 55, pp.132-142. ⟨10.1016/j.csda.2010.05.030⟩. ⟨hal-00943678⟩

Timothée Tabouy, Pierre Barbillon, Julien Chiquet. Inférence du Modèle à Blocs Stochastiques en présence de données manquantes.. 49. Journées de Statistique de la SFdS, May 2017, Avignon, France. 6 p. ⟨hal-01565531⟩

Sophie Donnet, Avner Bar-Hen, Pierre Barbillon. Modèles à blocs latents pour graphe multipartite Application aux interactions entre espèces animales et plantes. 49. Journées de Statistique de la SFdS, May 2017, Avignon, France. ⟨hal-01557217⟩

Marion Tharrey, François Mariotti, Andrew Mashchak, Pierre Barbillon, Maude Delattre, et al.. Les profils de consommation protéique animale et végétale sont fortement associés à la mortalité cardiovasculaire : une analyse des données d’une large cohorte adventiste. Journées francophones de Nutrition, Nov 2016, Montpellier, France. pp.229 - 230, ⟨10.1016/j.nupar.2017.06.033⟩. ⟨hal-01584563⟩

Guillaume Damblin, Merlin Keller, Pierre Barbillon, Alberto Pasanisi, Éric Parent. Bayesian model selection for the validation of computer codes. 15. Annual Conference of European Network for Business and Industrial Statistics (ENBIS-15), Sep 2015, Prague Czech Republic. pp.12, ⟨10.1002/qre.2036⟩. ⟨hal-01531713⟩

Caroline Desclée de Maredsou, Annemarie Oosting, Corine Delteil, Francois Blachier, Pierre Barbillon, et al.. High-protein diet during gestation promotes adiposity and food intake in female rat pups in the longer term. Experimental Biology Meeting, Mar 2015, Boston, United States. ⟨hal-01535308⟩

Pierre Barbillon, Célia Barthelemy, Adeline Leclercq-Samson. Parametric estimation of complex mixed models based on meta-model approach. CMStatistics 2015 - 8th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2015, Londres, United Kingdom. ⟨hal-01600700⟩

C. Desclée Demaredsous, C. Delteil, Blachier F., P. Barbillon, T. Mary-Huard, et al.. P306: Un régime hyperprotéique pendant la gestation est un facteur de sensibilité de la progéniture femelle à la composition du régime après le sevrage chez le rat. 12es Journées Francophones de Nutrition, JFN 2014, Dec 2014, Bruxelles, Belgique. pp.231. ⟨hal-01568784⟩

Pierre Barbillon, Thomas Mathieu. Network impact on persistence in a finite population dynamic exchange model. Journées de statistiques de la SFDS, May 2013, Toulouse, France. ⟨hal-01586982⟩

Pierre Barbillon, M. Thomas. Network impact on persistence in a finite population dynamic exchange model.. Network dynamics, thematic workshop of GDR Phénix, Mar 2013, Montpellier, France. ⟨hal-01589578⟩

Pierre Barbillon, Yves Auffray, Marin. J.-M.. Bornes de probabilités d’évènements rares dans le contexte des expériences simulées. Journées de statistiques de la SFDS, May 2012, Bruxelles Belgique. ⟨hal-01560609⟩

Pierre Barbillon, Yves Auffray, Jean-Michel Marin. Bounding rare event probabilities in computer experiments. Uncertainty in computer models 2012 Conference, Jul 2012, Sheffield, United Kingdom. ⟨hal-01587031⟩

Pierre Barbillon, Gilles Celeux, Agnès Grimaud, Yannick Lefebvre, Etienne de Rocquigny. Méthodes non linéaires pour des problèmes statistiques inverses. 42èmes Journées de Statistique, 2010, Marseille, France, France. ⟨inria-00494690⟩

P. Barbillon, S. Fu, R. Fouchereau. Problème inverse statistique dans des modèles de crues. Traitement par un algorithme EM et par une méhodologie bayésienne.. Journée modèles inverses, SFdS, Paris, 2010, Unknown. ⟨hal-00944117⟩

Yves Auffray, Pierre Barbillon, Jean-Michel Marin. Contribution à la théorie des noyaux conditionnellement définis positifs et applications. 41èmes Journées de Statistique, SFdS, Bordeaux, 2009, Bordeaux, France, France. ⟨inria-00386663⟩

Cyril Benhamou, P. Durand, J.-L Drouet, Nouraya Akkal, Juliette Anglade, et al.. Modélisation des sites instrumentés et évaluation des flux d’azote. Séminaire de clôture ANR ESCAPADE " Evaluation de scénarios sur la cascade de l'azote dans les paysages agricoles et modélisation territoriale", Jun 2017, Paris, France. 2017. ⟨hal-01821847⟩

Clélia Bianchi, Jean-François Huneau, Pierre Barbillon, Anne Lluch, Manon Egnell, et al.. Les conseils alimentaires personnalisés améliorant le plus efficacement l'adéquation nutritionnelle des régimes en début de grossesse sont les moins acceptables. Journées francophones de Nutrition, Nov 2016, Montpellier, France. ⟨hal-01584612⟩

Jordi Ferrer Savall, Pierre Barbillon, Cyril Benhamou, Patrick Durand, Marie-Luce Taupin, et al.. Spatial and dynamic sensitivity analysis of a biophysical model of nitrogen transfers and transformations at the landscape scale. Proceedings of the 8th International Congress on Environmental Modelling and Software (iEMSs2016), Nov 2016, Toulouse, France. iEMSs, 2016. ⟨hal-01581587⟩

Mathieu Thomas, Nicolas Verzelen, Pierre Barbillon, Oliver Coomes, Sophie Caillon, et al.. A network-based method to detect patterns of local crop biodiversity: Validation at the species and infra-species levels. Ecosystem Services From Biodiversity to Society, Part 1, 53, Elsevier, p.259-320, 2015, Advances in Ecological Research, ⟨10.1016/bs.aecr.2015.10.002⟩. ⟨hal-01239543⟩

Mathieu Carmassi, Pierre Barbillon, Matthieu Chiodetti, Merlin Keller, Éric Parent. CaliCo: a R package for Bayesian calibration. 2018. ⟨hal-01854760⟩

Mathieu Carmassi, Pierre Barbillon, Merlin Keller, Éric Parent, Matthieu Chiodetti. Bayesian calibration of a numerical code for prediction. 2018. ⟨hal-01677167⟩

Avner Bar-Hen, P. Barbillon, Sophie Donnet. Block model for multipartite networks. Applications in ecology and ethnobiology. 2018. ⟨hal-01850875⟩

Timothée Tabouy, Pierre Barbillon, Julien Chiquet. Variational Inference for Stochastic Block Models from Sampled Data. 2017. ⟨hal-01593183⟩

Yves Auffray, Pierre Barbillon, Jean-Michel Marin. Estimation of rare events probabilities in computer experiments. 2011. ⟨inria-00638696⟩

Pierre Barbillon, Gilles Celeux, Rémi Fouchereau, Fu Shuai. Nonlinear inference in Inverse Problems. [Research Report] 2010. ⟨hal-00944113⟩

Yves Auffray, Pierre Barbillon. Conditionally positive definite kernels: theoretical contribution, application to interpolation and approximation. [Research Report] RR-6835, INRIA. 2009, pp.36. ⟨inria-00359944⟩

Pierre Barbillon. Méthodes d'interpolation à noyaux pour l'approximation de fonctions type boîte noire coûteuses. Mathématiques [math]. Université Paris Sud - Paris XI, 2010. Français. ⟨tel-00559502⟩