Versatile sequential sampling algorithm using Kernel Density Estimation von Roy, Pamphile T., Jofre, Lluís, Jouhaud, Jean-Christophe, Cuenot, Bénédicte

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Design optimization of an heat exchanger using Gaussian process von Campet, Robin, Roy, Pamphile T., Cuenot, Bénédicte, Riber, Éléonore, Jouhaud, Jean-Christophe

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Resampling strategies to improve surrogate model‐based uncertainty quantification: Application to LES of LS89 von Roy, Pamphile T., Segui, Luis Miguel, Jouhaud, Jean‐Christophe, Gicquel, Laurent

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Comparison of polynomial chaos and Gaussian process surrogates for uncertainty quantification and correlation estimation of spatially distributed open-channel steady flows von Roy, Pamphile T., El Moçayd, Nabil, Ricci, Sophie, Jouhaud, Jean-Christophe, Goutal, Nicole, De Lozzo, Matthias, Rochoux, Mélanie C.

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Quasi-Monte Carlo Methods in Python von Roy, Pamphile T., Owen, Art B., Balandat, Maximilian, Haberland, Matt

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BATMAN: Statistical analysis for expensive computer codes made easy von T. Roy, Pamphile, Ricci, Sophie, Dupuis, Romain, Campet, Robin, Jouhaud, Jean-Christophe, Fournier, Cyril

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Newcomb-Benford's law as a fast ersatz of discrepancy measures von Roy, Pamphile T

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Discrepancy measures for sensitivity analysis von Puy, Arnald, Roy, Pamphile T, Saltelli, Andrea

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Simple binning algorithm and SimDec visualization for comprehensive sensitivity analysis of complex computational models von Kozlova, Mariia, Ahola, Antti, Roy, Pamphile T, Yeomans, Julian Scott

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Newcomb-Benford's law as a fast ersatz of discrepancy measures von Roy, Pamphile T

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Discrepancy measures for sensitivity analysis von Puy, Arnald, Roy, Pamphile T, Saltelli, Andrea

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Simple binning algorithm and SimDec visualization for comprehensive sensitivity analysis of complex computational models von Kozlova, Mariia, Ahola, Antti, Roy, Pamphile T, Yeomans, Julian Scott

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Reconstruction of Hydraulic Data by Machine Learning von Lapeyre, Corentin J., Cazard, Nicolas, Roy, Pamphile T., Ricci, Sophie, Zaoui, Fabrice

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Sounding Spider: An Efficient Way for Representing Uncertainties in High Dimensions von Roy, Pamphile T, Ricci, Sophie, Cuenot, Bénédicte, Jouhaud, Jean-Christophe

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Reconstruction of Hydraulic Data by Machine Learning von Lapeyre, Corentin J, Cazard, Nicolas, Roy, Pamphile T, Ricci, Sophie, Zaoui, Fabrice

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Sounding Spider: An Efficient Way for Representing Uncertainties in High Dimensions von Roy, Pamphile T, Ricci, Sophie, Cuenot, Bénédicte, Jean-Christophe Jouhaud

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An annotated timeline of sensitivity analysis von Tarantola, Stefano, Ferretti, Federico, Lo Piano, Samuele, Kozlova, Mariia, Lachi, Alessio, Rosati, Rossana, Puy, Arnald, Roy, Pamphile, Vannucci, Giulia, Kuc-Czarnecka, Marta, Saltelli, Andrea

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Uncertainty quantification in high dimensional problems von Roy, Pamphile

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SimDec algorithm and guidelines for its usage and interpretation von Kozlova, Mariia, Moss, Robert J., Roy, Pamphile, Alam, Abid, Yeomans, Julian Scott

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Resampling Strategies to Improve Surrogate Model-based Uncertainty Quantification - Application to LES of LS89 von Roy, Pamphile Tupui, Luis Miguel Segui, Jean-Christophe Jouhaud, Gicquel, Laurent

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