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NEO: Non Equilibrium Sampling on the Orbit of a Deterministic Transform35th International Conference on Neural Information Processing Systems, Dec 2021, Online, France. ⟨10.5555/3540261.3541565⟩
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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
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Jeffreys’ Priors for Mixture EstimationBayesian Statistics from Methods to Models and Applications / BAYSM 2014, Sep 2014, Vienna, Austria. pp.37-48, ⟨10.1007/978-3-319-16238-6_4⟩
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Empirical likelihood for Bayesian inference in population geneticsMathematical and Computational Evolutionnary Biology 2012, Jun 2012, Montpellier, France
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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
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Optimisation de plans d'expérience par méthodes particulaires35. Journées de Statistiques, Jun 2003, Lyon, France. pp.97-100
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Handbook of Mixture AnalysisTaylor & Francis, 2019
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Handbook of Mixture AnalysisCRC Press, pp.1-536, 2018, Chapman & Hall/CRC Handbooks of Modern Statistical Methods, 9781498763813
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Bayesian essentials with RSpringer Verlag, New York, pp.XIV-296, 2014, Springer Textbooks in Statistics, 978-1-4614-8686-2
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Introducing Monte Carlo Methods with RRobert Gentleman. Springer Verlag, New York, pp.284, 2009, Use R, John Kimmel, ⟨10.1007/1441915753⟩
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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⟩
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Approximate Bayesian computation, an introductionJean-Baptiste Marquette Didier Fraix‐Burnet Stéphane Girard and Julyan Arbel. Statistics for Astrophysics, EDP Sciences, pp.77-112, 2021, 978-2-7598-2275-1. ⟨10.1051/978-2-7598-2275-1.c008⟩
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A Bayesian Generalized Poisson Model for Cyber Risk AnalysisMathematical and Statistical Methods for Actuarial Sciences and Finance, Springer International Publishing; Springer International Publishing, pp.123-128, 2021, ⟨10.1007/978-3-030-78965-7_19⟩
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Markov Chain Monte Carlo Algorithms for Bayesian Computation, a Survey and Some GeneralisationCase Studies in Applied Bayesian Data Science, 2259, Springer International Publishing, pp.89-119, 2020, Lecture Notes in Mathematics, ⟨10.1007/978-3-030-42553-1_4⟩
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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
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Computational Solutions for Bayesian Inference in Mixture ModelsHandbook of Mixture Analysis, CRC Press, 2018
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Model Selection for Mixture Models-Perspectives and StrategiesHandbook of Mixture Analysis, CRC Press, 2018
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Approximate Bayesian Computation: A Survey on Recent ResultsRonald Cools; Dirk Nuyens. Monte Carlo and Quasi-Monte Carlo Methods, Springer International Publishing, pp.185-205, 2016, 978-3-319-33505-6. ⟨10.1007/978-3-319-33507-0_7⟩
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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
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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
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