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Christian Robert
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Approximate Bayesian Computation using Random ForestValidating and Expanding Approximate Bayesian Computation Methods (17w5025), Banff International Research Station for Mathematical Innovation and Discovery (BIRS). MEX., Feb 2017, Banff, Canada
Communication dans un congrès
hal-02786888v1
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Modélisation bayésienne hiérarchique pour l'estimation de matrice de covariance - Application à la gestion actif-passif de portefeuilles financiers42èmes Journées de Statistique, 2010, Marseille, France, France
Communication dans un congrès
inria-00494745v1
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Bayesian essentials with RSpringer Verlag, New York, pp.XIV-296, 2014, Springer Textbooks in Statistics, 978-1-4614-8686-2
Ouvrages
hal-01337395v1
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Bayesian Core: A practical approach to computational Bayesian statisticsSpringer Verlag, New York, pp.258, 2007, Springer Textbooks in Statistics, ⟨10.1007/978-0-387-38983-7⟩
Ouvrages
hal-00450489v1
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Application of ABC to Infer the Genetic History of Pygmy Hunter-Gatherer Populations from Western Central AfricaScott A. Sisson; Yanan Fan; Mark A. Beaumont. Handbook of Approximate Bayesian Computation, Chapman and Hall, Chapter 18, 2019, Chapman & Hall/CRC Handbooks of Modern Statistical Methods, 9781439881507
Chapitre d'ouvrage
hal-02787321v1
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Computational Solutions for Bayesian Inference in Mixture ModelsHandbook of Mixture Analysis, CRC Press, 2018
Chapitre d'ouvrage
hal-01961038v1
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Bayesian Inference and computationD. Balding, M. Stumpf, M. Girolami. Handbook of Statistical Systems Biology, John Wiley, pp.39-65, 2011, 978-0-470-71086-9
Chapitre d'ouvrage
hal-00473021v1
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Importance sampling methods for Bayesian discrimination between embedded modelsM.-H. Chen, D. Dey, P. Mueller, D. Sun and K. Ye. Frontiers of Statistical Decision Making and Bayesian Analysis, Springer-Verlag, New York, pp.513-527, 2010
Chapitre d'ouvrage
hal-00424475v1
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