Images radar de la pluie du 29 septembre 2014 (credit: http://www.meteo60.fr)
Porteur du projet : Gwladys TOULEMONDE gwladys.toulemonde(at)umontpellier.fr
Période : 2016-2018
Communications écrites :
Abu-Awwad, A-F., Maume-Deschamps, V., Ribereau, P. Censored pairwise likelihood-based tests for mixing coefficient of spatial max-mixture models. Submitted (2018).
Abu-Awwad, A-F., Maume-Deschamps, V., Ribereau, P. A model-free selection criterion for the mixing coefficient of spatial max-mixture models. Submitted (2018).
Ahmed, M., Maume-Deschamps, V., Ribereau, P. and Vial, C. Spatial risk measure for gaussian processes. Submitted (2017).
Ahmed, M., Maume-Deschamps, V., Ribereau, P. and Vial, C. A semi-parametric estimation for max-mixture spatial processes. Submitted (2018).
Ahmed, M., Maume-Deschamps, V., Ribereau, P. and Vial, C. Spatial Risk Measure for Max-Stable and Max-Mixture Processes. Submitted (2018).
Bacro, J.N., Gaetan, C., Opitz, T., Toulemonde, G. Space-time exceedances modelling : an application to rainfall data. En révision in JASA (2018).
Blanchet-Scalliet, C., Dorobantu, D., Gay, L., Maume-Deschamps, V., Ribereau, P. Risk assessment using suprema data. Accepté à Stochastic Environmental Research and Risk Assessment (2018)
Carreau, J., Ben Mhenni, N., Neppel, L., Huard, F. Exploiting the spatial pattern of daily precipitation in the analog method for regional temporal disaggregation. En révision (2018)Carreau, J., Naveau, P. and Neppel, L. Partitioning into hazard subregions for regional peaks-over-threshold modeling of heavy precipitation, Water Resources Research, 53, 4407-4426 (2017).
Chailan, R., Toulemonde, G., Bacro, J.N. A semi-parametric method to simulate bivariate space-time extremes, Annals of Applied Statistics, 11, 1403-1428 (2017).
Engelke, S., Opitz, T. and Wadsworth, J. Extremal dependence of random scale constructions. Submitted (2018).
Huser R., Opitz T., and Thibaud E. Bridging Asymptotic Independence and Dependence in Spatial Extremes Using Gaussian Scale Mixtures, Spatial Statistics, 21(A), 166-186 (2017).
Huser R., Opitz, T. and Thibaud E. Penultimate modeling of spatial extremes: statistical inference for max-infinitely divisible processes. Submitted (2018).
Mhalla, L., Opitz, T., and Chavez-Demoulin, V. Exceedance-based nonlinear regression of tail dependence. En révision (2018).
Opitz, T. Spatial random field models based on Lévy indicator convolutions. Submitted (2018).
Opitz, T., Huser, R., Bakka, H. and Rue, H. INLA goes extreme: Bayesian tail regression for the estimation of high spatio-temporal quantiles. Extremes. Volume 21(3), pp 441–462 (2018).
Communications orales :
2018
Bacro, JN, Gaetan, C, Opitz, T, Toulemonde, G. Hierarchical space-time modeling of exceedances with an application to rainfall data. Joint International Society for Clinical Biostatistics and Australian Statistical Conference, Melbourne, Australie, 2018.
Gaetan, C, Bacro, JN, Opitz, T, Toulemonde, G. On statistical modelling of space-time extremes, METMA IX, Montpellier, France, exposé invité, 2018.
Mhalla, L, Opitz, T, Chavez-Demoulin, V. Exceedance-based nonlinear regression of tail dependence. Séminaire statistique de Ca’ Foscari, Venise, exposé invité, 2018.
Opitz, T., Huser, R., Bakka, H. and Rue, H. INLA goes extreme: Bayesian tail regression for the estimation of high spatio-temporal quantiles. Journées MAS 2018, Dijon, exposé invité, 2018.
Palacios-Rodriguez F., Toulemonde G., Carreau J., Opitz T. Space-time extreme processes. Simulation for flash floods in Mediterranean France. Proceedings of the 9th Workshop on Spatio- temporal modeling (METMA IX), Montpellier, June 2018 (Proceedings here ).
Palacios-Rodriguez F., Toulemonde G., Carreau J., Opitz T. On space-time extreme simulations of rainfall in Mediterranean France. SWGEN 2018, Boulder, US, 2018.
2017
Carreau, J., Ben Mhenni, N., Neppel, L., Exploiting the relationship between spatial daily rainfall and sub-daily dynamics in the analog method for temporal disaggregation, HyMeX, Barcelona, Espagne, 2017.
Huser, R, Opitz, T, Thibaud, E. Bridging Asymptotic Independence and Dependence in Spatial Extremes Using Gaussian Scale Mixtures. UNIL (Lausanne), séminaire invité, 2017.
2016
Ben Mhenni, N., Carreau, J., Huard, F., Spatial analog method for temporal disaggregation of daily precipitation, Workshop on Bias Correction in Climate Studies, Berlin, Allemagne, 2016.
Dalhoumi, N, Bacro, JN, Toulemonde, G. A general model for bivariate tail probabilities. Third International Statistical Conference ISM 2016, Kuala-Lumpur, Malaisie, 2016.
Carreau, J, Toulemonde, G. Extra-parametrized extreme-value copula : an extension to a spatial framework. Salzburg workshop on dependence models and copulas, Salzburg, exposé invité, 2016.
Carreau, J, Toulemonde, G. Copules de valeurs extrêmes extra-paramétrisées : extension au cadre spatial. Journées MAS 2016, Grenoble, exposé invité, 2016.
Carreau, J., Naveau, P. and Neppel, L. Characterization of homogeneous regions for regional peaks-over-threshold modeling of heavy precipitation. Workshop « Uncertainty and Causality Assessment in Modeling Extreme and Rare Events » Boulder, USA, 2016.
Carreau, J., Naveau, P. and Neppel, L. Characterization of homogeneous regions for regional peaks-over-threshold modeling of heavy precipitation. Workshop « Extreme Value Modeling and Water Resources » Aussois, France, 2016.
Carreau, J., Naveau, P. and Neppel, L. Characterization of homogeneous regions for regional peaks-over-threshold modeling of heavy precipitation. International Symposium on signal, Image, Video and Communications, Tunisie, 2016.
Chailan, R., Toulemonde, G., Bacro. J.N. Simulation of space-time extreme wave processes to assess coastal hazards. 26th Annual Conference of The International Environmetrics Society, Edinburgh, exposé invité, 2016.