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Résultats pour : "Théorie bayésienne"

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Nombre de documents : 16.

Revisiting the historical scenario of a disease dissemination using genetic data and Approximate Bayesian Computation methodology: The case of Pseudocercospora fijiensis invasion in Africa. Gilabert Aude, Rieux Adrien, Robert Stéphanie, Vitalis Renaud, Zapater Marie-Françoise, Abadie Catherine, Carlier Jean, Ravigné Virginie. 2023. Ecology and Evolution, 13 (4):e10013, 17 p.
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Bayesian varying coefficient model with selection: An application to functional mapping. Heuclin Benjamin (ed.), Mortier Frédéric (ed.), Trottier Catherine (ed.), Denis Marie (ed.). 2021. Journal of the Royal Statistical Society. Series C, Applied Statistics, 70 (1) : 24-50.
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Sélection bayésienne de variables pour données longitudinales avec effets différentiels dans le temps : application à l'amélioration génétique. Heuclin Benjamin. 2021. Montpellier : Université de Montpellier, 138 p. Thèse de doctorat : Biostatistique : Université de Montpellier
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Taking advantage of natural regeneration potential in secondary forests to recover commercial tree resources in Côte d'Ivoire. Doua Bi Goualo Yves André, Zo-Bi Irie Casimir, Amani Bienvenu Hippolyte K, Elogne Aka Guy-Michel, N'dja Justin Kassi, N'Guessan Anny Estelle, Herault Bruno. 2021. Forest Ecology and Management, 493:119240, 11 p.
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A spatio-temporal stochastic model for an emerging plant disease spread in a heterogeneous landscape. Landry Clara, Abadie Catherine, Bonnot François, Vaillant Jean. 2021. International Journal of Computer Applications, 174 (16) : 1-7.
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Assessing the accuracy and robustness of a process-based model for coffee agroforestry systems in Central America. Ovalle-Rivera Oriana, Van Oijen Marcel, Läderach Peter, Roupsard Olivier, de Melo Virginio Filho Elias, Barrios Aguirrez Mirna, Rapidel Bruno. 2020. Agroforestry Systems, 94 : 2033-2051.
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Hybrid larch heterosis: For which traits and under which genetic control? Marchal Alexandre, Munoz Facundo, Millier Frédéric, Sanchez Leopoldo, Pâques Luc E.. 2017. Tree Genetics and Genomes, 13:92, 17 p.
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Fishery-dependent and -independent data lead to consistent estimations of essential habitats. Grazia Pennino Maria, Conesa David, López-Quıílez Antonio, Munoz Facundo, Fernández Angel, Bellido José María. 2016. ICES Journal of Marine Science, 73 (9) : 2302-2310.
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Bayesian spatio-temporal approach to identifying fish nurseries by validating persistence areas. Paradinas Iosu, Conesa David, Grazia Pennino Maria, Munoz Facundo, Fernández Angel, López-Quıílez Antonio, Bellido José María. 2015. Marine Ecology. Progress Series, 528 : 245-255.
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A novel individual-tree mixed model to account for competition and environmental heterogeneity: A Bayesian approach. Cappa Eduardo Pablo, Munoz Facundo, Sanchez Leopoldo, Cantet Rodolfo J.C.. 2015. Tree Genetics and Genomes, 11:120, 15 p.
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Bayesian spatio-temporal discard model in a demersal trawl fishery. Grazia Pennino Maria, Munoz Facundo, Conesa David, López-Quıílez Antonio, Bellido José María. 2014. Journal of Sea Research, 90 : 44-53.
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Estimation and prediction of the spatial occurrence of fish species using Bayesian latent Gaussian models. Munoz Facundo, Grazia Pennino Maria, Conesa David, López-Quıílez Antonio, Bellido José María. 2013. Stochastic Environmental Research and Risk Assessment, 27 : 1171-1180.
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Modelling sensitive elasmobranchs habitat. Grazia Pennino Maria, Munoz Facundo, Conesa David, López-Quıílez Antonio, Bellido José María. 2013. Journal of Sea Research, 83 : 209-218.
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