Asymptotic analysis of the role of spatial sampling for covariance parameter estimation of Gaussian processes von Bachoc, François

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UNIFORMLY VALID CONFIDENCE INTERVALS POST-MODEL-SELECTION von Bachoc, François, Preinerstorfer, David, Steinberger, Lukas

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Parameter identifiability of a deep feedforward ReLU neural network von Bona-Pellissier, Joachim, Bachoc, François, Malgouyres, François

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Bounds in L1 Wasserstein distance on the normal approximation of general M-estimators von Bachoc, François, Fathi, Max

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Nested Kriging predictions for datasets with a large number of observations von Rullière, Didier, Durrande, Nicolas, Bachoc, François, Chevalier, Clément

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Spatial blind source separation von Bachoc, François, Genton, Marc G, Nordhausen, Klaus, Ruiz-Gazen, Anne, Virta, Joni

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Covariance parameter estimation of Gaussian processes with approximated functional inputs von Reding, Lucas, López-Lopera, Andrés F., Bachoc, François

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Composite likelihood estimation for a Gaussian process under fixed domain asymptotics von Bachoc, François, Bevilacqua, Moreno, Velandia, Daira

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A generalization of the CIRCE method for quantifying input model uncertainty in presence of several groups of experiments von Damblin, Guillaume, Bachoc, François, Gazzo, Sandro, Sargentini, Lucia, Ghione, Alberto

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Large-sample properties of non-stationary source separation for Gaussian signals von Bachoc, François, Muehlmann, Christoph, Nordhausen, Klaus, Virta, Joni

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Blind source separation for non-stationary random fields von Muehlmann, Christoph, Bachoc, François, Nordhausen, Klaus

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Finite-Dimensional Gaussian Approximation with Linear Inequality Constraints von López-Lopera, Andrés F., Bachoc, François, Durrande, Nicolas, Roustant, Olivier

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Sensitivity indices for independent groups of variables von Broto, Baptiste, Bachoc, François, Depecker, Marine, Martinez, Jean-Marc

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funGp : An R Package for Gaussian Process Regression with Scalar and Functional Inputs von Betancourt, José, Bachoc, François, Klein, Thierry, Idier, Déborah, Rohmer, Jérémy, Deville, Yves

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Partitioning the contributions of dependent offshore forcing conditions in the probabilistic assessment of future coastal flooding von Rohmer, Jeremy, Idier, Deborah, Thieblemont, Remi, Le Cozannet, Goneri, Bachoc, François

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Sequential design of mixture experiments with an empirically determined input domain and an application to burn-up credit penalization of nuclear fuel rods von Bachoc, François, Barthe, Théo, Santner, Thomas, Richet, Yann

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Gaussian processes with multidimensional distribution inputs via optimal transport and Hilbertian embedding von Bachoc, Francois, Suvorikova, Alexandra, Ginsbourger, David, Loubes, Jean-Michel, Spokoiny, Vladimir

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Explaining machine learning models using entropic variable projection von Bachoc, François, Gamboa, Fabrice, Halford, Max, Loubes, Jean-Michel, Risser, Laurent

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Coastal Flood at Gâvres (Brittany, France): A Simulated Dataset to Support Risk Management and Metamodels Development von Idier, Déborah, Rohmer, Jérémy, Pedreros, Rodrigo, Le Roy, Sylvestre, Betancourt, José, Bachoc, François, Lecacheux, Sophie

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Gaussian process optimization with failures: classification and convergence proof von Bachoc, François, Helbert, Céline, Picheny, Victor

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