 | Up a level |
Azzimonti, Dario; Ginsbourger, David; Chevalier, Clément; Bect, Julien; Richet, Yann (2021). Adaptive Design of Experiments for Conservative Estimation of Excursion Sets. Technometrics, 63(1), pp. 13-26. Taylor & Francis 10.1080/00401706.2019.1693427
Chevalier, Clément; Martius, Olivia; Ginsbourger, David (2021). Modeling Nonstationary Extreme Dependence With Stationary Max-Stable Processes and Multidimensional Scaling. Journal of computational and graphical statistics : JCGS, 30(3), pp. 745-755. American Statistical Association 10.1080/10618600.2020.1844213
Azzimonti, Dario Filippo; Bect, Julien; Chevalier, Clément; Ginsbourger, David (2016). Quantifying Uncertainties on Excursion Sets Under a Gaussian Random Field Prior. SIAM/ASA Journal on Uncertainty Quantification, 4(1), pp. 850-874. Society for Industrial and Applied Mathematics 10.1137/141000749
Barton, Yannick; Giannakaki, Paraskevi; von Waldow, Harald; Chevalier, Clément; Pfahl, Stephan; Martius, Olivia (2016). Clustering of Regional-Scale Extreme Precipitation Events in Southern Switzerland. Monthly Weather Review, 144(1), pp. 347-369. American Meteorological Society 10.1175/MWR-D-15-0205.1
Martius, Olivia; Pfahl, Stephan; Chevalier, Clément (2016). A global quantification of compound precipitation and wind extremes. Geophysical Research Letters, 43(14), pp. 7709-7717. American Geophysical Union 10.1002/2016GL070017
Chevalier, Clément; Emery, Xavier; Ginsbourger, David (2015). Fast Update of Conditional Simulation Ensembles. Mathematical Geosciences, 47(7), pp. 771-789. Springer 10.1007/s11004-014-9573-7
Froidevaux, Paul Arnaud; Schwanbeck, Jan; Weingartner, Rolf; Chevalier, Clément; Martius, Olivia (2015). Flood triggering in Switzerland: the role of daily to monthly preceding precipitation. Hydrology and earth system sciences, 19(9), pp. 3903-3924. European Geosciences Union EGU 10.5194/hess-19-3903-2015
Chevalier, Clément; Picheny, Victor; Ginsbourger, David (2014). KrigInv: An efficient and user-friendly implementation of batch-sequential inversion strategies based on kriging. Computational statistics & data analysis, 71, pp. 1021-1034. Elsevier 10.1016/j.csda.2013.03.008
Ginsbourger, David; Baccou, Jean; Chevalier, Clément; Perales, Frédéric; Garland, Nicolas; Monerie, Yann (2014). Bayesian Adaptive Reconstruction of Profile Optima and Optimizers. SIAM/ASA Journal on Uncertainty Quantification, 2(1), pp. 490-510. Society for Industrial and Applied Mathematics 10.1137/130949555
Chevalier, Clément; Bect, Julien; Ginsbourger, David; Vazquez, Emmanuel; Picheny, Victor; Richet, Yann (2014). Fast parallel kriging-based stepwise uncertainty reduction with application to the identification of an excursion set. Technometrics, 56(4), pp. 455-465. Taylor & Francis 10.1080/00401706.2013.860918
Marmin, Sébastien Guillaume; Chevalier, Clément; Ginsbourger, David (2015). Differentiating the Multipoint Expected Improvement for Optimal Batch Design. In: Pardalos, Panos; Pavone, Mario; Farinella, Giovanni Maria; Cutello, Vincenzo (eds.) Machine Learning, Optimization, and Big Data. Lecture Notes in Computer Science: Vol. 9432 (pp. 37-48). Cham: Springer 10.1007/978-3-319-27926-8_4
Chevalier, Clément; Ginsbourger, David; Bect, Julien; Molchanov, Ilya (2013). Estimating and quantifying uncertainties on level sets using the Vorob'ev expectation and deviation with Gaussian process models. In: Uciński, Dariusz; Atkinson, Anthony C; Patan, Maciej (eds.) mODa 10 - Advances in Model-Oriented Design and Analysis. Proceedings of the 10th International Workshop in Model-Oriented Design and Analysis Held in Łagów Lubuski, Poland, June 10–14, 2013. Contributions to Statistics (pp. 35-43). Springer 10.1007/978-3-319-00218-7_5
Chevalier, Clément; Ginsbourger, David; Emery, Xavier (2014). Corrected kriging update formulae for batch-sequential data assimilation. In: Pardo-Igúzquiza, Eulogio; Guardioloa, Albert; Heredia, Javier; Durán, Juan José; Vargas-Guzmán, Jose Antonio (eds.) Mathematics of Planet Earth: Proceedings of the 15th Annual Conference of the International Association for Mathematical Geosciences. Lecture Notes in Earth System Sciences (pp. 119-122). Berlin: Springer 10.1007/978-3-642-32408-6_29
