Articles de périodiques
Rullière, D., Durrande, N., Bachoc, F., & Chevalier, C. (2018). Nested Kriging predictions for datasets with a large number of observations. Statistics and Computing, 28(4), 849-867.
Martius, O., Pfahl , S., & Chevalier, C. (2016). A global quantification of compound precipitation and wind extremes. Geophysical research letters, 43, 7709-7717.
Azzimonti, D., Bect, J., Chevalier, C., & Ginsbourger, D. (2016). Quantifying uncertainties on excursion sets under a Gaussian random field prior. SIAM/ASA Journal on Uncertainty Quantification, 4(1), 850-874.
Barton, Y. ., Giannakaki, P., von Waldow, H., Chevalier, C., Pfahl, S., & Martius, O. (2016). Clustering of Regional-scale Extreme Precipitation Events in Southern Switzerland. Monthly Weather Review, 144, 347-369.
Froidevaux, P., Schwanbeck, J., Weingartner, R., Chevalier, C., & Martius, O. (2015). Flood triggering in Switzerland: the role of daily to monthly preceding precipitation. Hydrology and Earth System Sciences, 19(9), 3903-3924.
Chevalier, C., Emery, X., & Ginsbourger, D. (2015). Fast Update of Conditional Simulation Ensembles. Mathematical Geosciences, 47(7), 771-789.
Chevalier, C., Picheny, V., & Ginsbourger, D. (2014). KrigInv: An efficient and user-friendly implementation of batch-sequential inversion strategies based on kriging. Computational Statistics & Data Analysis, 71, 1021-1034.
Chevalier, C., Bect, J., Ginsbourger, D., Vazquez, E., Picheny, V., & Richet, Y. (2014). Fast parallel kriging-based stepwise uncertainty reduction with application to the identification of an excursion set. Technometrics, 56(4), 455-465.
Ginsbourger, D., Baccou, J., Chevalier, C., Perales, F., Garland, N., & Monerie, Y. (2014). Bayesian Adaptive Reconstruction of Profile Optima and Optimizers. SIAM/ASA J. Uncertainty Quantification, 2(1), 490-510.
Mahlstein, I., Martius, O., Chevalier, C., & Ginsbourger, D. (2012). Changes in the odds of extreme events in the Atlantic basin depending on the position of the extratropical jet. Geophysical Research Letters, 39(22), 1944-8007.
Actes de congrès
Ginsbourger, D., Baccou, J., Chevalier, C., & Perales, F. (2016, 1 November). Design of computer experiments using competing distances between set-value inputs. Paper presented at mODa 11, Advances in Model-Oriented Design and Analysis, Contributions to Statistics, Hamminkeln, Germany.
Chevalier, C. (2016). Differentiating the multipoint Expected Improvement for optimal batch design. Paper presented at International Workshop on Machine learning, Optimization and big Data - MOD 2015, Taormina - Sicily, Italy.
Chevalier, C., Ginsbourger, D., & Emery, X. (2013). Corrected Kriging Update Formulae for Batch-Sequential Data Assimilation. Paper presented at 15th Annual Conference of the International Association for Mathematical Geosciences, Spain.
Chevalier, C., & Ginsbourger, D. (2013). Fast computation of the multi-points expected improvement with applications in batch selection. Paper presented at Learning and Intelligent Optimization, LION 7, Catania, Italy.
Chevalier, C., Ginsbourger, D., Bect, J., & Molchanov, I. (2013). Estimating and quantifying uncertainties on level sets using the vorob’ev expectation and deviation with gaussian process models. Paper presented at mODa 10 – Advances in Model-Oriented Design and Analysis, Łagów Lubuski, Poland.
Chevalier, C. (2013). Fast uncertainty reduction strategies relying on Gaussian process models, Ph.D, University of Bern, Bern, Switzerland.
Working papers
Bachoc, F., Durrande, N., Rullière, D., & Chevalier, C. (2019). Properties and comparison of some Kriging sub-model aggregation methods. Unpublished Submitted.
Marmin, S., Chevalier, C., & Ginsbourger, D. (2019). Efficient batch-sequential Bayesian optimization with moments of truncated Gaussian vectors. Unpublished Submitted.
Azzimonti, D., Ginsbourger, D., Chevalier, C., Bect, J., & Richet, Y. (2019). Adaptive design of experiments for conservative estimation of excursion sets. Unpublished Submitted.
Chevalier, C., Martius, O., & Ginsbourger, D. (2019). Modeling non-stationary extreme dependence with stationary max-stable processes and multidimensional scaling. Unpublished Submitted.
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*Format bibliographique : APA5