Valérie Monbet

publications

Journals

State space models, environment, weather

    Michel M., Obakrim S., Raillard N., Ailliot P., Monbet V. (2022). Deep learning for statistical downscaling of sea states. ASCMO.
    Chau T.T.T., Ailliot P., Monbet V., Tandeo P. (2022). Comparison of simulation-based algorithms for parameter estimation and state reconstruction in nonlinear state-space models. To be published in Discrete and Continuous Dynamical Systems Series S.
    Jouan, G., Cuzol, A., Monbet, V., Monnier, G., (2022) Gaussian mixture models for clustering and calibration of ensemble weather forecasts. To be published in Discrete and Continuous Dynamical Systems Series S.
    Chau T.T.T., Ailliot P., Monbet V., (2021). An algorithm for non-parametric estimation in state-space models. Computational Statistics and Data Analysis. Volume 153. preprint
    Ailliot P., Boutigny M., Koutroulis E., Malisovas A., Monbet V. (2020) Stochastic Weather Generator for the Design and Reliability Evaluation of Desalination Systems with Renewable Energy Sources. Renewable Energy, 158, 541-553. preprint
    Latimier, R. L. G., Le Bouedec, E., & Monbet, V. (2020). Markov switching autoregressive modeling of wind power forecast errors. Electric Power Systems Research, 189, 106641. preprint
    Ailliot P., Delyon B., Monbet V., Prevosto M. (2019). Time‐change models for asymmetric processes. Scandinavian Journal of Statistics, 46(4), 1072-1097. arXiv:1510.02302
    Monbet V., Ailliot P. (2017). Sparse vector Markov switching autoregressive models. Application to multiple time series of air temperature. Computational Statistics and Data Analysis, 108, 40-51. preprint
    Bessac J., Ailliot P., Cattiaux J., and Monbet V. (2016). Comparison of hidden and observed regime-switching autoregressive models for (u,v)-components of wind fields in the northeastern Atlantic.Advances in Statistical Climatology, Meteorology and Oceanography, 2, pp 1-16 paper.pdf
    Ailliot P., Allard D., Monbet V., Naveau P. (2015) Stochastic weather generators : an overview of weather type models. Journal de la SFdS, 156 (1).  preprint
    Ailliot, P., Bessac, J., Monbet, V., Pene, F. (2015). Non-homogeneous hidden Markov-switching models for wind time series. Journal of Statistical Planning and Inference, 160, 75-88. preprint>
    Bessac, J., Ailliot, P., Monbet, V. (2015). Gaussian linear state-space model for wind fields in the North-East Atlantic. Environmetrics, 26(1), 29-38. preprint
    Ailliot P., Maisondieu C., Monbet V., (2013) Dynamical partitioning of directional ocean wave spectra. Prob. Eng. Mech., 33, pp 95-102 preprint
    Ailliot P., Monbet V., (2012), Markov switching autoregressive models for wind time series. Environmental Modelling & Software, 30, pp 92-101. preprint
    Ailliot P., Baxevani A., Cuzol A., Monbet V., Raillard N., (2011) Space-time models for moving fields. Application to significant wave height. Environmetric, 22(3), pp. 354–369.  preprint
    Ailliot P., Frenod E., Monbet V., (2010) Modeling coastal ocean over a period of several weeks. Journal of Diff. Eq., 248(4), pp. 639-659. preprint
    Monbet V., Ailliot P., Marteau P.F., (2008) L1-convergence of smoothing densities in non parametric state space models, Stat Infer Stoch Process 11 pp. 311-325 preprint
    Monbet V., Ailliot P., Prevosto M., (2007) A survey of stochastic models for wind and sea state time series, Probabilistic Engineering Mechanics 22(2), pp. 113-126 preprint
    Ailliot P., Frenod E., Monbet V., (2006) Long term object drift forecast in the ocean with tide and wind. Multiscale Modeling and Simulation 5(2) pp. 514-531.preprint
    Ailliot P., Monbet V., Prevosto M., (2006) An autoregressive model with time-varying coefficients for wind fields, Environmetrics, 17, pp. 107-117. preprint
    Monbet V., Marteau P.F., (2006) Local Grid Bootstrap for Stationary Markov Processes, J. Statistical Planning and Inference 136(10) , pp. 3319-3338. preprint
    Monbet V., Prevosto M., (2000) Bivariate simulation of non stationary and non Gaussian observed processes, Application to sea state parameters. Applied Ocean Research, V. 23 No. 3, pp.139-146.
    Monbet V., (1997), Franchissement de niveaux pour des processus à trajectoires régulières et estimation adaptative à partir d'observations discrétisées, CRAS tome 324, Série 1, Statistiques
    Monbet V., Prevosto M., Deshayes J., (1996), Joint PDF parametric models for the rate of upcrossings of the acceleration for a non linear stochastic oscillator, Int. J. of Non Linear Mechanics, Vol 31 No 5, pp 591-599.

Machine Learning, Latent variables, Health

    Morvan M., Giacofci M., Devijver E., Monbet V., (2021) Prediction of the Nash through Penalized Mixture of Logistic Regression Models. Ann. Appl. Stat. 15 (2), 952-970, (June 2021) DOI: 10.1214/20-AOAS1409 preprint
    Poterie A., Dupuy J. F., Monbet, V., Rouvière L. (2019). Classification tree algorithms for grouped variables. Statistical computing, 34, 1613-1648. preprint

Medicine/biology/spectrometry journals

    Martin, D., Monbet, V., Sire, 0., Le Corvec, M., Loréal, O. (2021) Multi-resolution B-splines data compression improves MIR spectroscopy-based Health diagnostic efficiency. Talenta Open, Elsevier, In press. ⟨hal-03322143⟩
    Cano, L., Bertani, S., Island, M. L., Cerapio, J. P., Ruiz, E., Pineau, P., Monbet, V., ... & Loréal, O. (2021). Metallomic Profile in Non-cirrhotic Hepatocellular Carcinoma Supports a Phenomenon of Metal Metabolism Adaptation in Tumor Cells. Scientific reports
    Le Corvec M., Jezequel C., Monbet V. et al. (2017) Mid-infrared spectroscopy of serum, a promising non-invasive method to asses prognosis in patients with ascites and cirrhosis. PloS one, vol 12, no 10.
    Le Corvec M., Allain C., Lardjane S., Cavey T., Turlin B., Fautrel A., Begriche K., Monbet V., Fromenty B., Leroyer P., Guggenbuhl P., Ropert M., Sire O., Loréal O., (2016), Mid-infrared Fiber Evanescent Wave spectroscopy of serum allows fingerprint of hepatic metabolic status in mice, Analyst, 141(22), 6259-6269.
    Albert J.D., Monbet V., Jolivet-Gougeon A., Fatih N., Le Corvec M., Seck M., Charpentier F., Coiffier G., Boussard-Pledel C., Buerau B., Guggenbuhl P., Loréal O., (2016), A novel method for a fast diagnosis of septic arthritis using mid infra-red and deported spectroscopy. Joint Bine Spin, 83(3), pp 318-323.
    Le Corvec, M., Charpentier, F., Kachenoura, A., Bensaid, S., Henno, S., Bardou-Jacquet, E., Turlin, B., Monbet, V.,  Senhadji, L., Loréal, O., Sire, O. (2016). Fast and Non-Invasive Medical Diagnostic Using Mid Infrared Sensor: The AMNIFIR Project. IRBM, 37(2), 116-123.
    Léon K., Pichavant K., Ollivier H., Monbet V., L'Her E.. (2015) Does induction time of mild-hypothermia influence the survival duration of septic rats?, Therapeutic hypothermia and temperature management, 5(2), 85-88.
    Bureau B., Boussard-Pledel C., Cui S., Chahal R., Nazabal V., Sire O., Loreal O., Lucas P., Monbet V., Doualan J.L., Camy P., Tariel H., Quetel L., Adam J.L., Lucas J., (2014) Chalcogenide optical fibers for mid-infrared sensing, Optical Engineering
    Brandily M.L., Monbet V., Bureau B., Boussard-Plédel C., Loréal O., Adam J.L., Sire O., (2011), Identification of foodborne pathogens within food matrices by IR spectroscopy, Sensors and Actuators B: Chemical, 160 (1), 202-206.
    Anne M.L., Le Lan C., Monbet V., Boussard-Plédel C., Ropert M., Sire O., Deugnir Y., Lucas J., Adam J.L., Brissot P., Bureau B., Loréal O., (2009) Fiber evanescent wave spectroscopy using mid infrared give useful finger print for metabolic profiling in human. Journal of Biomedical Optics, 14(5).
    J. Keirsse, E. Lahaye, A. Bouter, V. Dupont, C. Boussard-Plédel, B. Bureau, J.-L. Adam, V. Monbet and O. Sire, (2006) Mapping bacterial surface population physiology in real-time:  Infrared spectroscopy of Proteus mirabilis swarm colonies. Applied Spectroscopy 60(6) , pp. 584-591.

Articles in book

    Tandeo, P., Ailliot, P., Ruiz J., Hannart, A., Chapron, B., Cuzol, A., Monbet, V., Easton, R., Fablet, R., (2015). Combining analog method and ensemble data assimilation: application to the Lorenz-63 chaotic system.
    in Machine Learning and Data Mining Approaches to Climate Science, Springer 2015. preprint
    Le Gland F., Monbet V., Tran V.D., (2009) Large sample asymptotics for the ensemble Kalman filter,
    in Handbook on Nonlinear Filtering, Dan Crisan and Boris Rozovskii, editors, Oxford University Press, Oxford,  link

Preprints

    Drouet Mari D., Monbet V., (2010) Using a priori knowledge to construct copulas, download pdf.

Thesis

    Monbet V., (2009), Quelques apports à la modélisation stochastique en océanographie et météorologie,
    HDR, Université de Bretagne Sud. download pdf .
    Monbet V., (1996), Statistiques du comportement de systèmes dynamiques non linéaires - Application à la tenue à la mer de navires rapides,
    Thèse de l'Université de Rennes 1. cf archimer

Recent proceedings

    Jouan, G. Cuzol, A., Monbet, V., Monnier, G. (2019) Weather type prediction at medium-range from ensemble forecasts. 9th International workshop on Climate Informatics, Oct 2019, Paris, France. ⟨hal-02425230⟩ preprint
    Monbet, V., Cuzol, A., Allard, D. (2018) Multivariate spatio-temporal Markov Switching model as a stochastic weather generator, METMA IX, 9th workshop of spatio-temporal modelling, Montpellier. preprint