Working papers

Legrand, J., Pimont, F., Dupuy, J.-L., & Opitz, T. (2023). Bayesian spatiotemporal modelling of wildfire occurrences and sizes for projections under climate change. Preprint . https://hal.science/hal-04084123

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., & Opitz, T. (2023). Discussion on “Assessing present and future risk of water damage using building attributes, meteorology and topography” by Heinrich-Mertsching et al. To Appear in Journal of the Royal Statistical Society: Series C.

Legrand, J., Ailliot, P., Naveau, P., & Raillard, N. (2023). Joint stochastic simulation of extreme coastal and offshore significant wave heights. Accepted in Annals of Applied Statistics. https://hal.science/hal-04075497

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

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).

PhD thesis

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