PhD supervision
Projects
Working papers
El Methni, J., Girard, S., Legrand, J., Stupfler, G., & Usseglio-Carleve, A. (2024). Four contemporary problems in extreme value analysis. Submitted. https://hal.science/hal-04780678
Madhar, N., Legrand, J., & Thomas, M. (2024). Assessing extreme risk using stochastic simulation of extremes. Submitted. https://arxiv.org/abs/2406.08019
Dombry, C., Legrand, J., & Opitz, T. (2024). Pareto processes for threshold exceedances in spatial extremes. In Revision. https://hal.science/hal-04636190
Legrand, J., Naveau, P., & Oesting, M. (2022). Evaluation of binary classifiers for asymptotically dependent and independent extremes. In Revision. https://arxiv.org/abs/2112.13738
Publications
Legrand, J., Pimont, F., Dupuy, J.-L., & Opitz, T. (2024). Bayesian spatiotemporal modelling of wildfire occurrences and sizes for projections under climate change. Computo. https://doi.org/10.57750/4y84-4t68
Legrand, J., Ailliot, P., Naveau, P., & Raillard, N. (2023). Joint stochastic simulation of extreme coastal and offshore significant wave heights. The Annals of Applied Statistics, 17(4), 3363–3383. https://doi.org/10.1214/23-AOAS1766
Pfleiderer, P., Jézéquel, A., Legrand, J., Legrix, N., Markantonis, I., Vignotto, E., & Yiou, P. (2021). Simulating compound weather extremes responsible for critical crop failure with stochastic weather generators. Earth System Dynamics, 12(1), 103–120. https://doi.org/10.5194/esd-12-103-2021
Other publications: discussion contributions, scientific expertise and thesis
Pimont, F., Dupuy, J.-L., Ruffault, J., Rigolot, E., Opitz, T., Legrand, J., & Barbero, R. (2023). Projections des effets du changement climatique sur l’activité des feux de forêt au 21ème siècle: Rapport final. https://hal.inrae.fr/hal-04149936
Legrand, J., & Opitz, T. (2023). Contribution to the “The First Discussion Meeting on Statistical aspects of climate change.” Journal of the Royal Statistical Society Series C: Applied Statistics, 72(4), 858–859. https://doi.org/10.1093/jrsssc/qlad054
Legrand, J. (2022). Simulation and assessment of multivariate extreme models for environmental data (Theses No. 2022UPASJ015, Université Paris-Saclay). https://tel.archives-ouvertes.fr/tel-03827820
Software
R package ExtremesBinaryClassifier to accompany the paper Evaluation of binary classifiers for asymptotically dependent and independent extremes (2021).
R code for Joint stochastic simulation of extreme coastal and offshore significant wave heights (2022).