Large sample asymptotics for the ensemble Kalman filter F Le Gland, V Monbet, VD Tran INRIA, 2009 | 223 | 2009 |
Stochastic weather generators: an overview of weather type models P Ailliot, D Allard, V Monbet, P Naveau Journal de la société française de statistique 156 (1), 101-113, 2015 | 211 | 2015 |
Markov-switching autoregressive models for wind time series P Ailliot, V Monbet Environmental Modelling & Software 30, 92-101, 2012 | 169 | 2012 |
Survey of stochastic models for wind and sea state time series V Monbet, P Ailliot, M Prevosto Probabilistic engineering mechanics 22 (2), 113-126, 2007 | 133 | 2007 |
An autoregressive model with time‐varying coefficients for wind fields P Ailliot, V Monbet, M Prevosto Environmetrics 17 (2), 107-117, 2006 | 98 | 2006 |
Chalcogenide optical fibers for mid-infrared sensing B Bureau, C Boussard, S Cui, R Chahal, ML Anne, V Nazabal, O Sire, ... Optical Engineering 53 (2), 027101-027101, 2014 | 75 | 2014 |
Non-homogeneous hidden Markov-switching models for wind time series P Ailliot, J Bessac, V Monbet, F Pene Journal of Statistical Planning and Inference 160, 75-88, 2015 | 55 | 2015 |
Combining analog method and ensemble data assimilation: application to the Lorenz-63 chaotic system P Tandeo, P Ailliot, J Ruiz, A Hannart, B Chapron, A Cuzol, V Monbet, ... Machine Learning and Data Mining Approaches to Climate Science: proceedings …, 2015 | 55 | 2015 |
Fiber evanescent wave spectroscopy using the mid-infrared provides useful fingerprints for metabolic profiling in humans ML Anne, C Le Lan, V Monbet, C Boussard-Plédel, M Ropert, O Sire, ... Journal of Biomedical Optics 14 (5), 054033-054033-9, 2009 | 55 | 2009 |
Bivariate simulation of non stationary and non Gaussian observed processes: Application to sea state parameters V Monbet, M Prevosto Applied Ocean Research 23 (3), 139-145, 2001 | 46 | 2001 |
Identification of foodborne pathogens within food matrices by IR spectroscopy ML Brandily, V Monbet, B Bureau, C Boussard-Plédel, O Loréal, JL Adam, ... Sensors and Actuators B: Chemical 160 (1), 202-206, 2011 | 42 | 2011 |
Sparse vector Markov switching autoregressive models. Application to multivariate time series of temperature V Monbet, P Ailliot Computational Statistics & Data Analysis 108, 40-51, 2017 | 38 | 2017 |
Long term object drift forecast in the ocean with tide and wind P Ailliot, E Frenod, V Monbet Multiscale Modeling & Simulation 5 (2), 514-531, 2006 | 38 | 2006 |
Mapping Bacterial Surface Population Physiology in Real-Time: Infrared Spectroscopy of Proteus mirabilis Swarm Colonies J Keirsse, E Lahaye, A Bouter, V Dupont, C Boussard-Plédel, B Bureau, ... Applied spectroscopy 60 (6), 584-591, 2006 | 36 | 2006 |
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 | 34 | 2011 |
A novel method for a fast diagnosis of septic arthritis using mid infrared and deported spectroscopy JD Albert, V Monbet, A Jolivet-Gougeon, N Fatih, M Le Corvec, M Seck, ... Joint Bone Spine 83 (3), 318-323, 2016 | 31 | 2016 |
Selenide and telluride glasses for mid-infrared bio-sensing S Cui, R Chahal, Y Shpotyuk, C Boussard, J Lucas, F Charpentier, ... Optical Fibers and Sensors for Medical Diagnostics and Treatment …, 2014 | 26 | 2014 |
Mid-infrared spectroscopy of serum, a promising non-invasive method to assess prognosis in patients with ascites and cirrhosis M Le Corvec, C Jezequel, V Monbet, N Fatih, F Charpentier, H Tariel, ... PLoS One 12 (10), e0185997, 2017 | 24 | 2017 |
Comparison of hidden and observed regime-switching autoregressive models for ()-components of wind fields in the northeastern Atlantic J Bessac, P Ailliot, J Cattiaux, V Monbet Advances in Statistical Climatology, Meteorology and Oceanography 2 (1), 1-16, 2016 | 24 | 2016 |
Markov switching autoregressive modeling of wind power forecast errors RLG Latimier, E Le Bouedec, V Monbet Electric Power Systems Research 189, 106641, 2020 | 20 | 2020 |