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Nicolas Raillard
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Space–time models for moving fields with an application to significant wave height fields
P Ailliot, A Baxevani, A Cuzol, V Monbet, N Raillard
Environmetrics 22 (3), 354-369, 2011
342011
Modeling extreme values of processes observed at irregular time steps: Application to significant wave height
N Raillard, P Ailliot, J Yao
182014
Seasonal shift in storm surges at Brest revealed by extreme value analysis
M Reinert, L Pineau‐Guillou, N Raillard, B Chapron
Journal of Geophysical Research: Oceans 126 (12), e2021JC017794, 2021
122021
Deep learning for statistical downscaling of sea states
M Michel, S Obakrim, N Raillard, P Ailliot, V Monbet
Advances in Statistical Climatology, Meteorology and Oceanography 8 (1), 83-95, 2022
112022
3-D environmental extreme value models for the tension in a mooring line of a semi-submersible
N Raillard, M Prevosto, H Pineau
Ocean Engineering 184, 23-31, 2019
82019
Statistical modeling of the space-time relation between wind and significant wave height
S Obakrim, P Ailliot, V Monbet, N Raillard
Authorea Preprints, 2022
72022
ResourceCODE framework: A high-resolution wave parameter dataset for the European Shelf and analysis toolbox
M Accensi, MF Alday Gonzalez, C Maisondieu, N Raillard, D Darbynian, ...
EWTEC 2021-14th European Wave and Tidal Energy Conference, 5th to 9th …, 2021
72021
Shift of the storm surge season in Europe due to climate variability
JB Roustan, L Pineau-Guillou, B Chapron, N Raillard, M Reinert
Scientific Reports 12 (1), 8210, 2022
52022
Modeling process asymmetries with Laplace moving average
N Raillard, M Prevosto, P Ailliot
Computational statistics & data analysis 81, 24-37, 2015
52015
Effect of forward speed on the level-crossing distribution of kinematic variables in multidirectional ocean waves
R Hascoët, N Raillard, N Jacques
Ocean Engineering 235, 109345, 2021
42021
Multivariate extreme analysis methodology in function of structural response
H Pineau, F Girard, S Raynaud, M Prevosto, N Raillard
International Conference on Offshore Mechanics and Arctic Engineering 51272 …, 2018
32018
RESOURCECODE: A Python package for statistical analysis of sea-state hindcast data
N Raillard, S Chabot, C Maisondieu, D Darbynian, G Payne, L Papillon
Journal of Open Source Software 8 (83), 4366, 2023
22023
Metocean conditions at the Ifremer in situ test site in Brest
M Träsch, N Raillard, V Perier, M Le Boulluec, M Répécaud, C Matoug
Trends in Renewable Energies Offshore, 77-85, 2022
22022
Stochastic prediction of wave impact kinematics and loads for ship appendages
R Hascoët, M Prevosto, N Raillard, N Jacques, A Tassin
arXiv preprint arXiv:2106.12238, 2021
22021
Statistical modeling of the space–time relation between wind and significant wave height
S Obakrim, P Ailliot, V Monbet, N Raillard
Advances in Statistical Climatology, Meteorology and Oceanography 9 (1), 67-81, 2023
12023
Learning the spatiotemporal relationship between wind and significant wave height using deep learning
S Obakrim, V Monbet, N Raillard, P Ailliot
Environmental Data Science 2, e5, 2023
12023
EM algorithm for generalized Ridge regression with spatial covariates
S Obakrim, P Ailliot, V Monbet, N Raillard
arXiv preprint arXiv:2208.04754, 2022
12022
Comportements extrêmes de processus spatio temporels. Application en océanographie et météorologie
N Raillard
Thèse de doctorat réalisée sous la direction de MM. Jian feng YAO et …, 2011
12011
Modélisation du comportement extrême de processus spatio-temporels. Applications en océanographie et météorologie.
N Raillard
Université Rennes 1, 2011
12011
Joint stochastic simulation of extreme coastal and offshore significant wave heights
J Legrand, P Ailliot, P Naveau, N Raillard
The Annals of Applied Statistics 17 (4), 3363-3383, 2023
2023
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