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Marie Perrot-Dockès

Showing results (1-10 of 3) with videos related to

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Bayesian Analysis|August 11, 2025
Easily Computed Marginal Likelihoods from Posterior Simulation Using the THAMES EstimatorMartin Metodiev, Marie Perrot-Dockès, Sarah Ouadah, et al.
Statistical Applications in Genetics and Molecular Biology|September 13, 2018
A variable selection approach in the multivariate linear model: an application to LC-MS metabolomics dataMarie Perrot-Dockès, Céline Lévy-Leduc, Julien Chiquet, et al.
Cell|October 5, 2019
A Quantitative Multivariate Model of Human Dendritic Cell-T Helper Cell CommunicationMaximilien Grandclaudon, Marie Perrot-Dockès, Coline Trichot, et al.
Pageof 1

Showing results (1-10 of 3) with videos related to

Sort By:
Pageof 1
Bayesian Analysis|August 11, 2025
Easily Computed Marginal Likelihoods from Posterior Simulation Using the THAMES EstimatorMartin Metodiev, Marie Perrot-Dockès, Sarah Ouadah, et al.
Statistical Applications in Genetics and Molecular Biology|September 13, 2018
A variable selection approach in the multivariate linear model: an application to LC-MS metabolomics dataMarie Perrot-Dockès, Céline Lévy-Leduc, Julien Chiquet, et al.
Cell|October 5, 2019
A Quantitative Multivariate Model of Human Dendritic Cell-T Helper Cell CommunicationMaximilien Grandclaudon, Marie Perrot-Dockès, Coline Trichot, et al.
Pageof 1