Stéphane Girard Senior research scientist at Inria Grenoble Rhône-Alpes.

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This page lists my Conference papers, with (sometimes) the associated slides sorted year by year. If you are interested in the corresponding pdf, please select one of these topics Statistics of extremes, High dimensional statistical learning, Functional estimation or Applications of statistics. Journal papers and book chapters are listed in the publications page.



2024

[244] M. Allouche, S. Girard & E. Gobet. "Learning extreme Expected Shortfall and Conditional Tail Moments with neural networks. Application to cryptocurrency data", 24th MathFinance Conference, Sep 2024, Bingen am Rhein, Germany. [HAL]

[243] M. Allouche, J. El Methni & S. Girard. "Reduced-bias estimation of extreme risk measures for heavy-tailed distributions", Journées MAS, Poitiers, 2024. [link] [HAL]

[242] A. Usseglio-Carleve, S. Girard & T. Opitz. "Analysis of variability for heavy-tailed extremes", Journées MAS, Poitiers, 2024. [link] [HAL]

[241] P. Dkengne-Sielenou & S. Girard. "Geometric mixture of generalized extreme value distributions: Application to the estimation of return levels of river flows and wind speeds", EVAN 2024 - 6th International Conference on Advances in Extreme Value Analysis andApplication to Natural Hazards, Venice, Italy, 2024. [link] [HAL]

[240] A. Usseglio-Carleve, S. Girard & T. Opitz. "ANOVEX: Analysis of variability for heavy-tailed extremes", EcoSta 2024 - 7th International Conference on Econometrics and Statistics, Beijing, China, 2024. [link] [HAL]

[239] C. Pakzad & S. Girard. "Functional Extreme Partial Least-Squares", 6th conference of the International Society for Non-Parametric Statistics (ISNPS), Braga, Portugal, 2024. [link] [HAL]

[238] S. Girard. "Statistical modelling of extreme values", 17th openTURNS Users' day, Saclay, 2024. [link] [HAL]

[237] C. Pakzad & S. Girard. "Functional Extreme Partial Least-Squares", 55èmes Journées de Statistique organisées par la Société Française de Statistique, Bordeaux, 2024. [link] [HAL]

[236] S. Girard, M. Allouche & E. Gobet. "On the simulation of extreme events with neural networks", 55èmes Journées de Statistique organisées par la Société Française de Statistique, Bordeaux, 2024. [link] [HAL]

[235] M. Allouche, S. Girard & E. Gobet. "Learning out-of-sample Expected Shortfall and Conditional Tail Moments with neural networks. Application to cryptocurrency data", Workshop on Stochastic Numerics and Statistical Learning: Theory and Applications, Thuwal, Saudi Arabia, 2024. [HAL]

[234] M. Allouche, S. Girard & E. Gobet. "Learning of extreme Expected Shortfall with neural networks. Application to cryptocurrency data", International Conference on Computational Finance, Amsterdam, Netherlands, 2024. [link] [HAL]

[233] J. Pachebat, S. Girard & E. Gobet. "Simulation of multivariate extreme events with generative models", International Conference on Computational Finance, Amsterdam, Netherlands, 2024. [link] [HAL]

[232] M. Allouche, E. Gobet & S. Girard. "Estimation of extreme risk measures with neural networks", SIAM Conference on Uncertainty Quantification, Trieste, Italy, 2024. [link] [HAL]

[231] M. Allouche, S. Girard, E. Gobet & J. Pachebat. "Neural networks based learning ppplied to extreme statistics and sampling rare events", SIAM Conference on Uncertainty Quantification, Trieste, Italy, 2024. [link] [HAL]

2023

[230] J. El Methni & S. Girard. "A refined extreme quantiles estimator for Weibull tail-distributions", EcoSta 2023 - 6th International Conference on Econometrics and Statistics, Tokyo, Japan, 2023. [link] [HAL]

[229] M. Allouche, S. Girard & E. Gobet. "Generative modeling of extremes with neural networks", Workshop on Stochastic Numerics and Statistical Learning: Theory and Applications, Thuwal, Saudi Arabia, 2023. [HAL]

[228] M. Allouche, S. Girard & E. Gobet. "Learning extreme expected shortfall with neural networks", IMS International Conference on Statistics and Data Science (ICSDS), Lisbon, Portugal, 2023. [link] [HAL]

[227] J. Arbel, S. Girard & H. Lorenzo. "Regularized partial least squares for extreme values", 16th International Conference of the ERCIM WG on Computing and Statistics, Berlin, Germany, 2023. [link] [HAL]

[226] M. Allouche, S. Girard & E. Gobet. "Estimation of extreme expected shortfall with neural networks", 16th International Conference of the ERCIM WG on Computing and Statistics, Berlin, Germany, 2023. [link] [HAL]

[225] N. Ouachene, T. Senga-Kiessé, M. Corson & S. Girard. "Estimation à noyau du tau de Kendall conditionnel pour l'analyse des interactions au sein des systèmes agricoles", 54èmes Journées de Statistique organisées par la Société Française de Statistique, Bruxelles, Belgique, 2023. [link] [HAL]

[224] S. Girard & H. Lorenzo. "HoPSIR: Homogeneous Penalization of Sliced Inverse Regression", 54èmes Journées de Statistique organisées par la Société Française de Statistique, Bruxelles, Belgique, 2023. [link] [HAL]

[223] S. Girard, T. Opitz, A. Usseglio-Carleve & C. Yan. "Analysis of variability in extremes with application in clustering of extreme events", 13th International Conference on Extreme Value Analysis, Milan, Italy, 2023. [link] [HAL]

[222] J. Arbel, A. Dutfoy, S.Girard & T. Moins. "Reparameterization of extreme value framework for improved Bayesian workflow", 13th International Conference on Extreme Value Analysis, Milan, Italy, 2023. [link] [HAL]

[221] M. Allouche, S. Girard & E. Gobet. "Estimation of extreme quantiles from heavy-tailed distributions with neural networks", 13th International Conference on Extreme Value Analysis, Milan, Italy, 2023. [link] [HAL]

[220] J. El Methni & S. Girard. "A refined extreme quantiles estimator for Weibull tail-distributions", 13th International Conference on Extreme Value Analysis, Milan, Italy, 2023. [link] [HAL]

[219] S. Girard, T. Opitz, A. Usseglio-Carleve & C. Yan. "Analysis of variability in extremes", Journée "Evénements extrêmes et risques", réseau RESSTE (Risques, Extrêmes et Statistique Spatio-TEmporelle), Marseille, 2023. [link] [HAL]

[218] M. Allouche, S. Girard & E. Gobet. "On the estimation of extreme quantiles with neural networks", Journée "Evénements extrêmes et risques", réseau RESSTE (Risques, Extrêmes et Statistique Spatio-TEmporelle), Marseille, 2023. [link] [HAL]

[217] M. Allouche, S. Girard & E. Gobet. "Generative modeling of extremes with neural networks", Accelerating Generative Models and Nonconvex Optimisation Workshop, The Alan Turing Institute, London, UK, 2023. [link] [HAL]

2022 -

[216] T. Moins, J. Arbel, A. Dutfoy & S. Girard. "Improving MCMC convergence diagnostic with a local version of R-hat", 15th International Conference of the ERCIM WG on Computing and Statistics, London, UK, 2022. [link] [HAL]

[215] J. El Methni & S. Girard. "A refined extreme quantiles estimator of Weibull tail-distributions", 15th International Conference of the ERCIM WG on Computing and Statistics, London, UK, 2022. [link] [HAL]

[214] M. Allouche, S. Girard & E. Gobet. "Estimation of extreme quantiles from heavy-tailed distributions with neural networks", 15th International Conference of the ERCIM WG on Computing and Statistics, London, UK, 2022. [link] [HAL]

[213] T. Moins, J. Arbel, A. Dutfoy & S. Girard. "A Local Version of R-hat to Improve MCMC Convergence Diagnostic", Bayesian Young Statisticians Meeting 2022, Montreal, Canada, 2022. [link] [HAL]

[212] T. Moins, J. Arbel, A. Dutfoy & S. Girard. "A Local Version of R-hat to Improve MCMC Convergence Diagnostic", ISBA 2022 - World Meeting of the International Society for Bayesian Analysis, Montreal, Canada, 2022. [link] [HAL]

[211] M. Allouche, J. El Methni & S. Girard. "A refined Weissman estimator for extreme quantiles", Compstat 2022 - 24th International Conference on Computational Statistics, Bologna, Italy, 2022. [link] [HAL]

[210] M. Bousebata, S. Girard & G. Enjolras. "Extreme partial least-squares", EcoSta 2022 - 5th International Conference on Econometrics and Statistics, Kyoto, Japan, 2022. [link] [HAL]

[209] M. Allouche, J. El Methni & S. Girard. "A refined Weissman estimator for extreme quantiles", EcoSta 2022 - 5th International Conference on Econometrics and Statistics, Kyoto, Japan, 2022. [link] [HAL]

[208] M. Allouche, S. Girard & E. Gobet. "EV-GAN: Simulation of extreme quantiles with ReLU neural networks", EcoSta 2022 - 5th International Conference on Econometrics and Statistics, Kyoto, Japan, 2022. [link] [HAL]

[207] T. Moins, J. Arbel, A. Dutfoy & S. Girard. "On the use of a local R-hat for improving MCMC convergence diagnostic", Energy Forecasting Innovation Conference, London, UK, 2022. [link] [HAL]

[206] A. Usseglio-Carleve, S. Girard & G. Stupfler. "Extreme conditional expectile estimation in heavy-tailed heteroscedastic regression models", Insurance Data Science Conference, Milan, Italy, 2022. [link] [HAL]

[205] T. Moins, J. Arbel, A. Dutfoy & S. Girard. "A local version of R-hat for improving MCMC convergence diagnostic", 53èmes Journées de Statistique organisées par la Société Française de Statistique, Lyon, 2022. [link] [HAL]

[204] M. Allouche, S. Girard & E. Gobet. "Estimation of extreme quantiles with neural networks, application to extreme rainfalls", SOPHI. A Summit Conference, Nice, 2022. [HAL]

2021

[203] M. Allouche, S. Girard & E. Gobet. "A generative model for fBm with deep ReLU neural networks", 13th International Conference on Monte Carlo Methods and Applications, Mannheim, Germany, 2021. [HAL]

[202] M. Allouche, S. Girard & E. Gobet. "A generative model for fBm with deep ReLU neural networks", Workshop on Numerical Analysis of Stochastic Partial Differential Equations, Marseille, 2021. [HAL]

[201] J. El Methni & S. Girard. "A bias-reduced version of the Weissman estimator for extreme value-at-risk", 14th International Conference of the ERCIM WG on Computing and Statistics, Virtual, 2021. [link] [HAL]

[200] S. Girard & E. Gobet. "Estimation of the largest tail-index and extreme quantiles from a mixture of heavy-tailed distributions", 14th International Conference of the ERCIM WG on Computing and Statistics, Virtual, 2021. [link] [HAL]

[199] M. Bousebata, G. Enjolras & S. Girard. "Extreme partial least-squares regression", 14th International Conference of the ERCIM WG on Computing and Statistics, Virtual, 2021. [link] [HAL]

[198] T. Moins, J. Arbel, A. Dutfoy & G. Stupfler. "A Bayesian framework for Poisson process characterization of extremes with uninformative prior", 14th International Conference of the ERCIM WG on Computing and Statistics, Virtual, 2021. [link] [HAL]

[197] A. Usseglio-Carleve, S. Girard & G. Stupfler. "Extreme conditional expectile estimation in heavy-tailed heteroscedastic regression models", 14th International Conference of the ERCIM WG on Computing and Statistics, Virtual, 2021. [link] [HAL]

[196] T. Moins, J. Arbel, A. Dutfoy & S. Girard. "Improving MCMC convergence diagnostic: a local version of R hat", BayesComp-ISBA workshop, Virtual, 2021. [HAL]

[195] M. Vladimirova, J. Arbel & S. Girard. "Bayesian neural network unit priors and generalized Weibull-tail property", Asian Conference on Machine Learning, Virtual, 2021. [HAL]

[194] T. Moins, J. Arbel, A. Dutfoy & S. Girard. "A Bayesian framework for poisson process characterization of extremes with objective prior", World Meeting of the International Society for Bayesian Analysis, Virtual, 2021. [link] [HAL]

[193] J. Arbel, S. Girard, T. Moins, A. Dutfoy & K. Leachouri. "Improving MCMC convergence diagnostic with a local version of R-hat", Journées MAS, Orléans / Virtual, 2021. [link] [HAL]

[192] M. Allouche, S. Girard & E. Gobet. "Generative model for fbm with deep ReLU neural networks", Bernoulli-IMS 10th World Congress in Probability and Statistics, Seoul, South Korea / Virtual, 2021. [link] [HAL]

[191] J. El Methni & S. Girard. "A bias-reduced version of the Weissman extreme quantile estimator", 12th International Conference on Extreme Value Analysis, Edinburgh, United Kingdom / Virtual, 2021. [link] [HAL]

[190] M. Allouche, S. Girard & E. Gobet. "On the approximation of extreme quantiles with ReLU neural networks", 12th International Conference on Extreme Value Analysis, Edinburgh, United Kingdom / Virtual, 2021. [link] [HAL]

[189] M. Bousebata, G. Enjolras & S. Girard. "Extreme partial least-squares regression", 12th International Conference on Extreme Value Analysis, Edinburgh, United Kingdom / Virtual, 2021. [link] [HAL]

[188] A. Usseglio-Carleve, S. Girard & G. Stupfler. "Extreme expectile regression: theory and applications", 12th International Conference on Extreme Value Analysis, Edinburgh, United Kingdom / Virtual, 2021. [link] [HAL]

[187] M. Allouche, S. Girard & E. Gobet. "On the approximation of extreme quantiles with neural networks", 52èmes Journées de Statistique organisées par la Société Française de Statistique, Nice / Virtual, 2021. [link] [HAL]

[186] M. Bousebata, G. Enjolras & S. Girard. "Single-index Extreme-PLS regression ", 52èmes Journées de Statistique organisées par la Société Française de Statistique, Nice / Virtual, 2021. [link] [HAL]

[185] M. Vladimirova, J. Arbel & S. Girard. "Generalized Weibull-tail distributions", 52èmes Journées de Statistique organisées par la Société Française de Statistique, Nice / Virtual, 2021. [link] [HAL]

[184] T. Moins, J. Arbel, A. Dutfoy & S. Girard. "On Reparameterisations of the Poisson Process Model for Extremes in a Bayesian Framework", 52èmes Journées de Statistique organisées par la Société Française de Statistique, Nice / Virtual, 2021. [link] [HAL]

[183] S. Girard & E. Gobet. "Estimation of the tail-index and extreme quantiles from a mixture of heavy-tailed distributions", RESIM 2021: 13th International Workshop on Rare-Event Simulation, Virtual, 2021. [link] [HAL]

2020

[182] A. Ahmad, E. Deme, A. Diop, S.Girard & A. Usseglio Carleve. "Estimation of extreme quantiles from heavy-tailed distributions in a location-dispersion regression model", Quatrièmes rencontres des jeunes chercheurs africains en France, Virtual, 2020. [HAL]

[181] A. Usseglio-Carleve, S. Girard & G. Stupfler. "On second-order automatic bias reduction for extreme expectile estimation", 13th International Conference of the ERCIM WG on Computing and Statistics, Virtual, 2020. [link] [HAL]

[180] S. Girard, A. Ahmad, E. Deme, A. Diop & A. Usseglio Carleve. "Estimation of extreme quantiles from heavy-tailed distributions in a location-dispersion regression model", StressTest-2020: International Workshop on Stress Test and Risk Management, Virtual, 2020. [link] [HAL]

[179] M. Bousebata, G. Enjolras & S. Girard. "The dependence structure between yields and prices: A copula-based model of French farm income", Annual Meeting of the Agricultural and Applied Economics Association (AAEA), Kansas City, USA, 2020. [link] [HAL]

2019 -

[178] M. Crispino, S. Girard & J. Arbel. "Dependence properties and Bayesian inference for asymmetric multivariate copulas", 12th International Conference of the ERCIM WG on Computing and Statistics, London, UK, 2019. [link] [HAL]

[177] A. Usseglio-Carleve, S. Girard & G. Stupfler. "Nonparametric extreme conditional expectile estimation", 12th International Conference of the ERCIM WG on Computing and Statistics, London, UK, 2019. [link] [HAL]

[176] A. Constantin, M. Fauvel, S. Girard, S. Iovleff & Y. Tanguy. "Classification de signaux multidimensionnels irrégulièrement échantillonnés", Journée Jeunes Chercheurs MACLEAN du GDR MADICS, Paris, 2019. [HAL]

[175] S. Salhi, F. Bonnefoy, S. Girard, M. Bernier, N. Barbot, R. Siragusa, E. Perret & F. Garet. "Enhanced THz tags authentication using multivariate statistical analysis", 44th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz), Paris, 2019. [HAL] [link]

[174] P. Sielenou-Dkengne, S. Girard & S. Ahiad. "Estimation of the extrapolation range associated with extreme-value models: Application to the assessment of sensors reliability", 32nd European Meeting of Statisticians, Palermo, Italy, 2019. [link] [HAL]

[173] A. Constantin, M. Fauvel, S. Girard & S. Iovleff. "Classification de signaux multidimensionnels irrégulièrement échantillonnés", Vingt-septième colloque GRETSI, Lille, 2019. [HAL] [link]

[172] M. Bousebata, G. Enjolras & S. Girard. "Bayesian estimation of natural extreme risk measures, Application to agricultural insurance", 10th conference of the international society for Integrated Disaster Risk Management (IDRiM), Nice, 2019. [HAL]

[171] S. Girard, G. Stupfler & A. Usseglio-Carleve. "Nonparametric extreme conditional expectile estimation", 11th International Conference on Extreme Value Analysis, Zagreb, Croatia, 2019. [link] [HAL]

[170] C. Albert, A. Dutfoy, & S. Girard. "Study of the relative extrapolation error associated with Weissman estimator for extreme quantiles", 51èmes Journées de Statistique organisées par la Société Française de Statistique, Nancy, 2019. [link] [slides.pdf] [HAL]

[169] S. Girard. "Un apercu des méthodes statistiques pour la classification et la régression en grande dimension", Workshop "Appréhender la grande dimension", Paris, 2019. [link] [HAL] [slides.pdf]

[168] M. Bousebata, G. Enjolras & S. Girard. "Bayesian estimation of natural extreme risk measures, Application to agricultural insurance", Global Challenges Science Week: International interdisciplinary days of Grenoble Alpes, Grenoble, 2019. [link] [HAL]

[167] S. Girard & G. Stupfler. "Estimation of high-dimensional extreme conditional expectiles", 2nd workshop on Multivariate Data and Software, Limassol, Cyprus, 2019. [link] [HAL]

[166] M. Bousebata, G. Enjolras & S. Girard. "Estimation bayésienne des mesures des risques naturels extrêmes. Application à l'assurance du risque agricole", Assises Nationales des Risques Naturels, Montpellier, 2019. [link] [HAL] [poster.pdf]

[165] A. Constantin, M. Fauvel, S. Girard and S. Iovleff. "Supervised classification of multidimensional and irregularly sampled signals", Workshop on Challenging problems in Statistical Learning, Grenoble, 2019. [poster.pdf] [HAL] [link]

2018 -

[164] T. Rahier, S. Marié, S. Girard & F. Forbes. "Fast Bayesian network structure learning using quasi-determinism screening", 9èmes Journées Francophones sur les Réseaux Bayésiens et les Modèles Graphiques Probabilistes, Toulouse, 2018. [link] [HAL]

[163] A. Ahmad, E. Deme, A. Diop & S. Girard. "A new location-scale model for conditional heavy-tailed distributions",2nd IFSS - Bayesian learning theory for complex data modelling, Grenoble, 2018. [link] [HAL]

[162] T. Rahier, S. Marié, S. Girard & F. Forbes. "Screening strong pairwise relationships for fast Bayesian network structure learning",2nd IFSS - Bayesian learning theory for complex data modelling, Grenoble, 2018. [link] [HAL]

[161] G. Stupfler & S. Girard. "Estimation of high-dimensional extreme conditional expectiles", 11th International Conference of the ERCIM WG on Computing and Statistics, Pisa, Italy, 2018. [link] [HAL]

[160] C. Albert, A. Dutfoy, L. Gardes & S. Girard. "Un nouvel estimateur des quantiles extrêmes basé sur le modèle log Weibull-tail généralisé", 50èmes Journées de Statistique organisées par la Société Française de Statistique, Saclay, 2018. [link] [slides.pdf] [HAL]

[159] S. Girard "Estimation of extreme regression risk measures", Workshop Rare Events, Extremes and Machine Learning, Paris, 2018. [slides.pdf] [link] [HAL]

[158] C. Albert, A. Dutfoy & S. Girard. "Extrapolation limits of extreme-value methods for return-levels estimation", EGU General Assembly, Vienna, Austria, 2018. [slides.pdf] [HAL]

[157] J. El Methni, L. Gardes & S. Girard "Kernel estimation of extreme regression risk measures", 13th International Conference on Operations Research, Havana, Cuba, 2018. [slides.pdf] [HAL]

2017 -

[156] G. Stupfler & S. Girard. "Some negative results on extreme multivariate quantiles defined through convex optimisation", 10th International Conference of the ERCIM WG on Computing and Statistics, London, UK, 2017. [link] [HAL] [slides.pdf]

[155] S. Girard, A. Daouia & G. Stupfler. "Extreme M-quantiles as risk measures", 10th International Conference of the ERCIM WG on Computing and Statistics, London, UK, 2017. [link] [HAL] [slides.pdf]

[154] S. Sylla, S. Girard, A. Diongue, A. Diallo & C. Sokhna. "Hierarchical kernel applied to mixture model for the classification of binary predictors", 61st ISI World Statistics Congress, Marrakech, Maroc, 2017. [HAL] [link]

[153] S. Girard, J. Arbel & D. Fraix-Burnet. "Les écoles d'astrostatistique 'statistics for astrophysics'", Colloque Francophone International sur l'Enseignement de la Statistique (CFIES), Grenoble, 2017. [HAL]

[152] G. Stupfler, S. Girard & A. Guillou. "Estimating a frontier function using a high-order moments method", 31st European Meeting of Statisticians, Helsinki, Finland, 2017. [link] [HAL] [slides.pdf]

[151] S. Girard, M. Lopes, M. Fauvel & D. Sheeren. "Object-based classification of grassland management practices from high resolution satellite image time series with Gaussian mean map kernels", 27th Annual Conference of the International Environmetrics Society, Bergame, Italy, 2017. [HAL] [slides.pdf]

[150] C. Albert, A. Dutfoy & S. Girard. "On the extrapolation limits of extreme-value theory for risk management", 10th International Conference on Mathematical Methods in Reliability, Grenoble, 2017. [link] [HAL]

[149] M. Lopes, M. Fauvel, A.Ouin & S. Girard. "Potential of Sentinel-2 and SPOT5 (Take5) time series for the estimation of grasslands biodiversity indices", 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images, Bruges, Belgium, 2017. [HAL] [poster.pdf]

[148] D. Fraix-Burnet, C. Bouveyron, S. Girard & J. Arbel. "Unsupervised classification in high dimension", European Week of Astronomy and Space Science (EWASS), Prague, Czech Republic, 2017. [link] [HAL]

[147] S. Girard & L. Gardes. "Estimation of the functional Weibull tail-coefficient", 10th International Conference on Extreme Value Analysis, Delft, Netherlands, 2017. [link] [HAL] [slides.pdf]

[146] C. Albert, A. Dutfoy & S. Girard. "On the relative approximation error of extreme quantiles by the block maxima method", 10th International Conference on Extreme Value Analysis, Delft, Netherlands, 2017. [link] [HAL]

[145] M. Lopes, M. Fauvel, A.Ouin & S. Girard. "Evaluation de la biodiversité des prairies semi-naturelles par télédétection hyperspectrale", 5ème colloque scientifique du groupe thématique hyperspectral de la Société Française de Photogrammétrie et Télédétection, Brest, 2017. [HAL] [slides.pdf]

[144] C. Albert, A. Dutfoy & S. Girard. "Etude de l'erreur relative d'approximation des quantiles extrêmes ", 49èmes Journées de Statistique organisées par la Société Française de Statistique, Avignon, 2017. [link] [HAL]

[143] V. Watson, J-F. Trouilhet, F. Paletou & S. Girard, "Inference of an explanatory variable from observations in a high-dimensional space: Application to high-resolution spectra of stars", IEEE International Workshop of Electronics, Control, Measurement, Signals and their application to Mechatronics, San Sebastian, Spain, 2017. [HAL] [link]

2016 -

[142] F. Forbes, A. Chiancone & S. Girard. "Student sliced inverse regression", 9th International Conference of the ERCIM WG on Computing and Statistics, Seville, Spain, 2016. [HAL] [link] [slides.pdf]

[141] J. El Methni, L. Gardes & S. Girard, "Frontier estimation based on extreme risk measures", 9th International Conference of the ERCIM WG on Computing and Statistics, Seville, Spain, 2016. [HAL] [link] [slides.pdf]

[140] A. Daouia, S. Girard & G. Stupfler. "Estimation of the marginal expected shortfall using extreme expectiles", 9th International Conference of the ERCIM WG on Computing and Statistics, Seville, Spain, 2016. [HAL] [link] [slides.pdf]

[139] S. Girard, A. Daouia & G. Stupfler, "Estimation of extreme expectiles from heavy tailed distributions", 9th International Conference of the ERCIM WG on Computing and Statistics, Seville, Spain, 2016. [HAL] [link] [slides.pdf]

[138] S. Girard, A. Daouia & G. Stupfler. "Tail risk estimation based on extreme Lp-quantiles", Statistics workshop, Tilburgh, Netherlands, 2016. [HAL]

[137] M. Lopes, M. Fauvel, S. Girard & D. Sheeren. "High dimensional Kullback-Leibler divergence for grassland management practices classification from high resolution satellite image time series", IEEE International Geoscience and Remote Sensing Symposium, Bejing, China, 2016. [HAL] [slides.pdf]

[136] M. Lopes, M. Lang, M. Fauvel, D. Sheeren & S. Girard. "High Dimensional Kullback-Leibler Divergence for grassland object-oriented classification from high resolution satellite image time series", 4ème Journée Thématique du Programme National de Télédétection Spatiale (PNTS), Paris, 2016. [link] [HAL]

[135] J. El-methni, L. Gardes, & S. Girard. "Estimation of risk measures for extreme pluviometrical measurements", 26th Annual Conference of The International Environmetrics Society, Edimbourg, Royaume-Uni, 2016. [HAL]

[134] A. Daouia, S. Girard & G. Stupfler. "Tail risk estimation based on extreme Lp-quantiles", Workshop Extreme value modeling and water ressources, Aussois, 2016. [HAL]

[133] L. Gardes, S. Girard & J. El-methni. "Estimation of risk measures for extreme pluviometrical measurements", Workshop Extreme value modeling and water ressources, Aussois, 2016. [HAL] [slides.pdf]

[132] L. Gardes & S. Girard. "Estimation of the functional Weibull-tail coefficient", 3rd conference of the International Society for Non-Parametric Statistics (ISNPS), Avignon, 2016. [HAL] [link] [slides.pdf]

[131] S. Girard, C. Albert & A. Dutfoy. "Extrapolation dans les queues de distribution avec la théorie des valeurs extrêmes", Journée estimation de probabilités d'événements rares en maitrise des risques et en sûreté de fonctionnement organisée par l'IMdR, Cachan, 2016. [HAL] [link]

[130] C. Albert, A. Dutfoy & S. Girard. "Encadrement de l'erreur asymptotique d'estimation des quantiles extrêmes ", 48èmes Journées de Statistique organisées par la Société Française de Statistique, Montpellier, 2016. [link] [slides.pdf] [HAL]

[129] M. Lopes, S. Girard & M. Fauvel. "Divergence de Kullback-Leibler en grande dimension pour la classification des prairies à partir de séries temporelles d'images satellite à haute résolution ", 48èmes Journées de Statistique organisées par la Société Française de Statistique, Montpellier, 2016. [link] [slides.pdf] [HAL]

[128] M. Lopes, M. Lang, M. Fauvel, D. Sheeren & S. Girard. "High Dimensional Kullback-Leibler Divergence for grassland object-oriented classification from high resolution satellite image time series", Living Planet Symposium, Prague, Czech Republic, 2016. [link] [poster.pdf] [HAL]

[127] L. Gardes, S. Girard & J. El-methni. "Kernel estimation of extreme risk measures for all domains of attraction", Workshop Extremes - Copulas - Actuarial science, Luminy, 2016. [HAL] [slides.pdf]

[126] A. Daouia, S. Girard & G. Stupfler. "Estimation of tail risk based on extreme expectiles", Workshop Extremes - Copulas - Actuarial science, Luminy, 2016. [HAL] [slides.pdf]

2015 -

[125] A. Chiancone, J. Chanussot & S. Girard "Collaborative Sliced Inverse Regression", 20th Young Statisticians Meeting, Vorau, Austria, 2015. [HAL] [link]

[124] L. Amsaleg, O. Chelly, T. Furron, S. Girard, M. Houle & K. Kawarabayashi, "Estimating local intrinsic dimensionality", 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pages 29--34, Sydney, Australia, 2015. [HAL] [link] [pdf]

[123] S. Girard, A. Rivera, M. Stehlik & S. Torres. "Extreme-value modelling of some glacial processes in Chilean Andes", International Conference on Risk Analysis, Barcelona, Spain, 2015. [link] [HAL]

[122] J. El-methni, L. Gardes & S. Girard. "Estimation non-paramétrique de mesures de risque pour des lois conditionnelles à queues lourdes avec application à des extrêmes pluviométriques", Congrès de la SMAI, Les Karellis, 2015. [link] [HAL] [slides.pdf]

[121] S. Sylla, S. Girard, A. Diongue, A. Diallo & C. Sokhna. "Classification de données binaires via l'introduction de mesures de similarités dans les modèles de mélange", 47èmes Journées de Statistique organisées par la Société Française de Statistique, Lille, 2015. [HAL] [link]

[120] G. Stupfler & S. Girard. "On the asymptotic behaviour of extreme geometric quantiles", 9th International Conference on Extreme Value Analysis, Ann Arbor, USA, 2015. [link] [HAL] [slides.pdf]

2014 -

[119] S. Girard & G. Stupfler, "Extreme geometric quantiles", 7th International Conference of the ERCIM WG on Computing and Statistics, Pisa, Italy, 2014. [HAL] [link] [slides.pdf]

[118] A. Chiancone, J. Chanussot & S. Girard "Collaborative Sliced Inverse Regression", Rencontres d'Astrostatistique, Grenoble, 2014. [HAL] [link] [slides.pdf]

[117] S. Girard & G. Stupfler, "On the asymptotic behaviour of extreme geometric quantiles" , Workshop on Extreme Value Theory, with an emphasis on spatial and temporal aspects, Besançon, 2014. [link] [HAL] [slides.pdf]

[116] J. El-methni, L. Gardes & S. Girard. "Kernel estimation of extreme risk measures for all domains of attraction", 21st International Conference on Computational Statistics, Genève, Suisse, 2014. [link] [HAL]

[115] G. Mazo, S. Girard & F. Forbes, "Weighted least square inference based on dependence coefficients for multivariate copulas" , 21st International Conference on Computational Statistics, Genève, Suisse, 2014. [link] [HAL]

[114] C. Bouveyron, M. Fauvel & S. Girard. "Parsimonious Gaussian process models for the classification of multivariate remote sensing images", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Florence, Italie, 2014. [link] [poster.pdf] [HAL]

[113] S. Sylla, S. Girard, A. Diongue, A. Diallo & C. Sokhna. "Classification supervisée par modèle de mélange: Application aux diagnostics par autopsie verbale", 46èmes Journées de Statistique organisées par la Société Française de Statistique, Rennes, 2014. [link] [HAL]

2013 -

[112] G. Mazo, F. Forbes & S. Girard. "A copula to handle tail dependence in high dimension", 6th International Conference of the ERCIM WG on Computing and Statistics, London, UK, 2013. [link] [HAL]

[111] E. Deme, L. Gardes & S. Girard. "Estimation of the second order parameter for heavy-tailed distributions", 6th International Conference of the ERCIM WG on Computing and Statistics, London, UK, 2013. [slides.pdf] [link] [HAL]

[110] J. El-methni, L. Gardes & S. Girard. "Estimation de mesures de risques pour des extrêmes pluviométriques avec application à la région Cévennes-Vivarais", Evénements extrêmes d'inondation, organisé par la Société Hydrotechnique de France, Lyon, 2013. [link] [HAL]

[109] E. Deme, S. Girard & A. Guillou. "Reduced-biased estimators of the Conditional Tail Expectation for heavy-tailed distributions", Mathematical Statistics and Limit Theorems, Conference in honor of Prof. Paul Deheuvels, Paris, 2013. [link] [HAL]

[108] A. Daouia, S. Girard & L. Gardes. "A gamma-moment approach to monotonic boundaries estimation: with applications in econometric and nuclear fields", 8th International Conference on Extreme Value Analysis, Shanghai, China, 2013. [link] [HAL]

[107] A. Daouia, L. Gardes & S. Girard. "Nonparametric extremal quantile regression", 8th International Conference on Extreme Value Analysis, Shanghai, China, 2013. [link] [slides.pdf] [HAL]

[106] J. Elmethni, L. Gardes & S. Girard. "Estimation of extreme risk measures from heavy-tailed distributions", 8th International Conference on Extreme Value Analysis, Shanghai, China, 2013. [link] [slides.pdf] [HAL]

[105] G. Mazo, S. Girard & F. Forbes. "A parsimonious multivariate copula for tail dependence modeling", Extremes in Vimeiro Today, Vimeiro, Portugal, 2013. [link] [HAL]

[104] J. El-methni, L. Gardes & S. Girard. "Nonparametric estimation of extreme risks from heavy-tailed distributions", Extremes in Vimeiro Today, Vimeiro, Portugal, 2013. [link] [slides.pdf] [HAL]

[103] J. El-methni, L. Gardes & S. Girard. "Estimation de mesures de risques extrêmes", 45èmes Journées de Statistique organisées par la Société Française de Statistique, Toulouse, 2013. [link] [HAL]

[102] S. Joshi, A. Lombardot, M. Belleville, E. Beigne & S. Girard. "A gate level methodology for efficient statistical leakage estimation in complex 32nm circuits", Design, Automation and Test in Europe (DATE), Grenoble, 2013. [link] [HAL]

2012 -

[101] L. Bergé, C. Bouveyron & S. Girard. "HDclassif: An R Package for Model-Based Clustering and Discriminant Analysis of High-Dimensional Data", 1ères Rencontres R, Bordeaux, 2012. [link] [HAL]

[100] G. Mazo, F. Forbes & S. Girard. "Augmented cumulative distribution networks for multivariate extreme value modelling", 5th International Conference of the ERCIM WG on Computing and Statistics, Oviedo, Spain, 2012. [link] [HAL]

[99] A. Daouia, L. Gardes & S. Girard. "On kernel smoothing for extremal quantile regression", 5th International Conference of the ERCIM WG on Computing and Statistics, Oviedo, Spain, 2012. [link] [HAL]

[98] L. Gardes & S. Girard. "Functional kernel estimators of conditional extreme quantiles", 7èmes Journées de Statistique Fonctionnelle et Opératorielle, Montpellier, 2012. [slides.pdf] [link] [HAL]

[97] C. Bouveyron, M. Fauvel & S. Girard. "Kernel discriminant analysis and clustering with parsimonious Gaussian process models", ICML workshop on Object, functional and structured data : towards next generation kernel-based methods, Edinburgh, Scotland, 2012. [link] [HAL]

[96] S. Joshi, A. Lombardot, M. Belleville, E. Beigne & S. Girard. "Statistical leakage estimation in 32nm CMOS considering cells correlations", 11th IEEE conference on Faible Tension Faible Consommation, Paris, 2012. [link] [HAL]

[95] C. Amblard, S. Girard & L. Menneteau. "Algebraic properties of copulas defined from matrices", Workshop on Copulae in Mathematical and Quantitative Finance, Cracovie, Pologne, 2012. [link] [HAL]

[94] C. Bouveyron, M. Fauvel & S. Girard. "Processus gaussiens parcimonieux pour la classification générative de données hétérogènes", 44èmes Journées de Statistique organisées par la Société Française de Statistique, Bruxelles, Belgique, 2012. [link] [HAL]

[93] J. Saracco, M. Chavent, B. Liquet, V. Kuentz, T.M.N. Nguyen & S. Girard. "Régression inverse par tranches sur flux de données", 44èmes Journées de Statistique organisées par la Société Française de Statistique, Bruxelles, Belgique, 2012. [link] [HAL]

[92] S. Girard, A. Guillou & G. Stupfler. "Estimation de point terminal dans le domaine d'attraction de Weibull par une méthode des moments d'ordre élevé", 44èmes Journées de Statistique organisées par la Société Française de Statistique, Bruxelles, Belgique, 2012. [link] [HAL]

[91] J. El-methni, L. Gardes & S. Girard. "Estimation de l'espérance conditionnelle des pertes extrêmes dans le cas de lois à queues lourdes en présence d'une covariable", 44èmes Journées de Statistique organisées par la Société Française de Statistique, Bruxelles, Belgique, 2012. [link] [HAL]

2011

[90] S. Girard "Some improvements of the SIR method for the estimation of Mars physical properties from hyperspectral images", Inria Workshop on Statistical Learning, Paris, 2011. [link]

[89] S. Girard "Estimation of Mars surface physical properties from hyperspectral images using the SIR method", Astrostatistique en France, Grenoble, 2011. [link]

[88] A. Clément, S. Laurents & S. Girard. "A novel damage sensitive feature based on state-space representation", 8th International Workshop on Strutural Health Monitoring, Stanford, USA, 2011. [link] [HAL]

[87] J. El-methni, L. Gardes, S. Girard & A. Guillou. "Estimation of a new parameter discriminating between Weibull tail-distributions and heavy-tailed distributions", 7th International Conference on Extreme Value Analysis, Lyon, 2011. [poster.pdf] [link]

[86] S. Girard & L. Menneteau. "Strong invariance principles for tail quantile processes with applications to extreme value index estimation", 7th International Conference on Extreme Value Analysis, Lyon, 2011. [link]

[85] S. Girard, A. Guillou & G. Stupfler. "Estimating an endpoint using high order moments", 7th International Conference on Extreme Value Analysis, Lyon, 2011. [slides.pdf] [link]

[84] E. Deme, L. Gardes & S. Girard. "A new semi-parametric family of estimators for the second order parameter", 7th International Conference on Extreme Value Analysis, Lyon, 2011. [link]

[83] M. Chavent, S. Girard, V. Kuentz, B. Liquet, T.M.N. Nguyen & J. Saracco. "An adaptive SIR method for block-wise evolving data streams", 14th International Symposium on Applied Stochastic Models and Data Analysis, Roma, Italy, 2011. [slides.pdf] [link]

[82] L. Gardes & S. Girard. "Functional kernel estimators of conditional extreme quantiles", 2nd International Workshop on Functional and Operatorial Statistics, Santander, Spain, 2011. [link]

[81] A. Asenov, Y. Courant, G. Ducharme, V. Gerousis & S. Girard. "How can statistics methods help to address variability issues?", 2nd European Workshop on CMOS Variability, Grenoble, 2011. [link]

[80] E. Deme, L. Gardes & S. Girard. "Estimation semi-paramétrique du paramètre de second ordre en statistique des valeurs extrêmes", 43èmes Journées de Statistique organisées par la Société Française de Statistique, Tunis, Tunisie, 2011. [link]

[79] J. El-methni, L. Gardes, S. Girard & A. Guillou. "Estimation d'un paramètre de queue commun aux lois de type Weibull et au domaine d'attraction de Fréchet", 43èmes Journées de Statistique organisées par la Société Française de Statistique, Tunis, Tunisie, 2011. [link]

2010

[78] J. Carreau, S. Girard & E. Ursu. "Spatial kernel interpolation for annual rainfall maxima", Workshop on metrics and methodologies of estimation of extreme climate events, UNESCO headquarters, Paris, 2010. [poster.pdf] [link]

[77] C. Bouveyron, G. Celeux & S. Girard. "Intrinsic Dimension Estimation by Maximum Likelihood in Probabilistic PCA", 73rd Annual Meeting of the Institute of Mathematical Statistics, Gothenburg, Sweden, 2010.

[76] A. Daouia, L. Gardes, S. Girard & A. Lekina. "Estimation de courbes de niveaux extrêmes pour des lois à queues lourdes", 42èmes Journées de Statistique organisées par la Société Française de Statistique, Marseille, 2010. [link]

[75] J. Carreau, S. Girard & E. Ursu. "Spatial kernel interpolation for annual rainfall maxima", NICDS Workshop on Statistical Methods for Geographic and Spatial Data in the Management of Natural Resources, Montréal, Canada, 2010. [slides.pdf] [link]

[74] S. Girard. "On the regularization of Sliced Inverse Regression" Workshop on Challenging problems in Statistical Learning, Paris, 2010. [slides.pdf] [talk.mp3] [link]

2009 -

[73] C. Bernard-Michel, S. Douté, M. Fauvel, L. Gardes & S. Girard. "Machine learning techniques for the inversion of planetary hyperspectral images", 1st IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, Grenoble, 2009. [link] [HAL]

[72] L. Gardes, S. Girard & A. Guillou. "A unified statistical model for Pareto and Weibull tail distributions", 6th International Conference on Extreme Value Analysis, Fort Collins, USA, 2009. [link] [slides.pdf]

[71] A. Daouia, L. Gardes, S. Girard & A. Lekina. "Extreme level curves of heavy-tailed distributions", 6th International Conference on Extreme Value Analysis, Fort Collins, USA, 2009. [slides.pdf] [link]

[70] L. Gardes, S. Girard & A. Lekina. "Estimation non-paramétrique des quantiles extrêmes conditionnnels", 41èmes Journées de Statistique organisées par la Société Française de Statistique, Bordeaux, 2009. [link]

[69] P. Loiseau, P. Gonçalves, S. Girard, F. Forbes & P. Primet Vicat-Blanc. "Maximum likelihood estimation of the flow size distribution tail index from sampled packet data", SIGMETRICS - Joint International Conference on Measurement and Modeling of Computer Systems, Seattle, USA, 2009. [link] [pdf]

[68] C. Bernard-Michel, L. Gardes, S. Girard & G. Molinié "Spatial analysis of extreme rainfalls in the Cévennes-Vivarais region", Spatial Extremes, Theory and Applications, Lisbonne, Portugal, 2009. [HAL] [link] [slides.pdf]

[67] C. Bouveyron, S. Girard & M. Olteanu "Supervised classification of categorical data with uncertain labels for DNA barcoding", 17th European Symposium on Artificial Neural Networks, pages 29-34, Bruges, Belgium, 2009. [slides.pdf]

[66] C. Bernard-Michel, S. Douté, M. Fauvel, L. Gardes & S. Girard "Support vectors machines regression for estimation of mars surface physical properties", 17th European Symposium on Artificial Neural Networks, pages 195-200, Bruges, Belgium, 2009. [HAL] [poster.pdf]

2008 -

[65] L. Gardes, S. Girard & A. Lekina, "A moving window approach for nonparametric estimation of extreme level curves", 18th conference of the Intenational Federation of Operational Research Societies (IFORS), Sandton, Afrique du Sud, 2008. [slides.pdf]

[64] C. Bouveyron & S. Girard, "Robust supervised classification with Gaussian mixtures: learning from data with uncertain labels" , 18th International Conference on Computational Statistics, pp. 129-136, Porto, Portugal, 2008. [slides.pdf]

[63] S. Anquetin, B. Boudevillain, D. Ceresetti, J.D. Creutin, A. Godart, B. Hingray, G. Molinié, E. Leblois, C. Bernard-Michel, S. Girard, & L. Gardes, "Rainfall features, forcing and estimation over the Cévennes-Vivarais region", 2th HyMeX workshop, Palaiseau, France, 2008. [poster.pdf]

[62] V. Ciriza, L. Donini, J.B. Durand & S. Girard "A statistical model for optimizing power consumption of printers", Joint Meeting of the SSC and the SFdS, Ottawa, Canada, 2008. [poster.pdf]

[61] S. Girard & P. Jacob "Frontier estimation via regression on high power-transformed data", Joint Meeting of the SSC and the SFdS, Ottawa, Canada, 2008. [slides.pdf]

[60] V. Ciriza, L. Donini, J.B. Durand & S. Girard "A statistical model for optimizing power consumption of printers", XIG R & T Conference, Xerox Corporation, Webster, USA, 2008.

[59] C. Bernard-Michel, S. Douté, L. Gardes & S. Girard "Inverting hyperspectral images with Gaussian Regularized Sliced Inverse Regression", 16h European Symposium on Artificial Neural Networks, pages 463-468, Bruges, Belgium, 2008. [HAL] [poster.pdf]

[58] C. Bernard-Michel, L. Gardes & S. Girard "Regularization methods for Sliced Inverse Regression", 8th International Conference on Operations Research, Havana, Cuba, 2008. [HAL] [slides.pdf]

2007 -

[57] S. Girard & P. Jacob "Estimation de frontière par régression sur les puissances élevées des données", Colloque statistique non paramétrique et statistique des processus, en l'honneur du Professeur D. Bosq, Paris, 2007. [link]

[56] C. Conteduca, G. Molinié, S. Girard & L. Gardes "Severe storms in mountainous Mediterranean regions: Uncertainties on extreme rainfall estimations", 9th Plinius Conference on Mediterranean Storms, Varenna, Italie, 2007. [link]

[55] S. Girard & P. Jacob "Boundary estimation via regression on high power-transformed data", 56th Session of the International Statistical Institute, Lisbonne, 2007.

[54] L. Gardes & S. Girard "Some nonparametric estimators of the conditional tail index", Fifth International Symposium on Extreme Value Analysis, Berne, 2007. [slides.pdf]

[53] C. Bernard-Michel, S. Douté, L. Gardes & S. Girard "Estimation of Mars surface physical properties from hyperspectral images using the S.I.R. method", Applied Stochastic Models and Data Analysis (ASMDA), Chania, Crete, Greece, 2007. [link] [slides.pdf]

[52] L. Gardes & S. Girard "Nonparametric estimation of the conditional tail index", Statistical Extremes and Environmental Risk Workshop, p. 47-50, Lisbonne, 2007. [link] [HAL] [slides]

2006 -

[51] C. Bouveyron, J. Kannala, C. Schmid & S. Girard "Object localization by subspace clustering of local descriptors", 5th Indian Conference on Computer Vision, Graphics and Image Processing, Madurai, Inde, 2006.

[50] S. Girard, A. Iouditski & A. Nazin. "On optimal and adaptive non-parametric estimation for periodic frontier via linear programming", Third International Control Conference, Moscou, 2006.

[49] S. Girard & L. Menneteau "Estimation of star-shaped supports via smoothed extreme value estimators of non-uniform point processes boundaries", IMS Annual Meeting and X Brazilian School of Probability, Rio de Janeiro, 2006.

[48] S. Girard. "Statistical inference for Weibull tail-distributions", Journées Extrêmes à Lille, Lille, 2006. [link] [slides.pdf] [HAL]

[47] S. Girard & S. Iovleff. "Auto-Associative models and generalized Principal Component Analysis", Workshop principal manifolds for data cartography and dimension reduction, Leicester, UK, 2006. [link] [HAL] [slides.pdf]

[46] C. Bouveyron, S. Girard & C. Schmid "Classification des données de grande dimension: application à la vision par ordinateur", 2èmes Rencontres Inter-Associations, Lyon, 2006. [HAL]

[45] C. Amblard & S. Girard "A semiparametric family of bivariate copulas: dependence properties and estimation procedures ", IMS Annual Meeting and X Brazilian School of Probability, Rio de Janeiro, 2006. [HAL] [slides.pdf]

[44] C. Bouveyron, S. Girard & C. Schmid "High Dimensional Data Clustering", Compstat, 17th symposium of the IASC, Rome, 2006. [link] [abstract.pdf]

2005 -

[43] L. Gardes & S. Girard. "Estimation d'une fonction quantile extrême", 3èmes Journées de Statistique Fonctionnelle et Opérationnelle, Toulouse, 2005.

[42] J. Diebolt, M. Garrido, S. Girard & J. Ecarnot. "The Extremes software", Fourth International Symposium on Extreme Value Analysis, Gothenburg, Suède, 2005. [link] [slides]

[41] L. Gardes & S. Girard. "Inférence statistique pour les lois à queue de type Weibull", 37èmes Journées de Statistique organisées par la Société Française de Statistique, Pau, 2005. [link]

[40] L. Gardes & S. Girard. "Statistical inference for Weibull Tail-distributions", Workshop on Risk Analysis and Extreme Values, Paris, 2005. [program.pdf]

[39] L. Gardes & S. Girard. "Estimating extreme quantiles of Weibull Tail-distributions", StatDep 2005, Statistics for dependent data, Paris-Malakoff, 2005.

[38] C. Bouveyron, S. Girard & C. Schmid "Une méthode de classification des données de grande dimension", 37èmes Journées de Statistique organisées par la Société Française de Statistique, Pau, 2005. [link]

[37] C. Bouveyron, S. Girard & C. Schmid "High Dimensional Discriminant Analysis", Applied Stochastic Models and Data Analysis (ASMDA), p. 526-534, Brest, 2005. [link]

[36] C. Bouveyron, S. Girard & C. Schmid "Classication of high dimensional data: High Dimensional Discriminant Analysis", Subspace, Latent Structure and Feature Selection techniques: Statistical and Optimisation perspectives Workshop, Bohinj, Slovenia, 2005.

[35] C. Bouveyron, S. Girard & C. Schmid "Une nouvelle méthode de classification pour la reconnaissance de formes", Vingtième colloque GRETSI, p. 711-714, Louvain-la-Neuve, Belgique, 2005. [link]

[34] A. Gannoun, S. Girard, C. Guinot & J. Saracco "Reference curves estimation via Sliced Inverse Regression", Applied Stochastic Models and Data Analysis (ASMDA), p. 1484-1492, Brest, 2005. [link] [HAL]

2004 -

[33] L. Gardes & S. Girard. "A Pickands type estimator of the extreme value index" , Third International Symposium on Extreme Value Analysis, p. 28, Aveiro, Portugal, 2004.

[32] M. Garrido, S. Girard & J. Ecarnot. "The Extremes software", Third International Symposium on Extreme Value Analysis, p. 27, Aveiro, Portugal, 2004.

[31] L. Gardes & S. Girard. "Un estimateur de type Pickands de l'indice de valeur extrêmes", 36èmes Journées de Statistique organisées par la Société Française de Statistique, Montpellier, 2004.

[30] L. Gardes & S. Girard. "A Pickands type estimator of the extreme value index" , Workshop Power Laws in Probability and Statistics, Luminy, 2004.

[29] C. Amblard & S. Girard "Estimation procedures for a semiparametric family of bivariate copulas", Conference on Dependence Modelling: Statistical Theory and Applications in Finance and Insurance, Québec, Canada, 2004.

[28] C. Bouveyron, S. Girard & C. Schmid "Dimension Reduction and Classification Methods for Object Recognition in Vision", 5th French-Danish Workshop SSIAB, p. 109-113, Saint Pierre-de Chartreuse, 2004.

[27] A. Gannoun, S. Girard, C. Guinot & J. Saracco "Estimations non-paramétriques et semi-paramétriques de courbes de référence pour l'analyse de propriétés biophysiques de la peau", 8ème congrès Agro-Industrie et Méthodes Statistiques, Rennes, 2004.

2002-2003

[26] G. Bouchard, S. Girard, A. Iouditski & A. Nazin. "Linear programming problems for frontier estimation", Second International Control Conference, Moscou, 2003.

[25] J. Diebolt, J. Ecarnot, M. Garrido, S. Girard & D. Lagrange. "Le logiciel Extremes", 35èmes Journées de Statistique organisées par la Société Française de Statistique, Lyon, 2003.

[24] G. Bouchard & S. Girard. "Support Vector Learning for Frontier Estimation", Colloque L'Apprentissage Statistique, Théorie et Application, p. 66-69, CNAM, Paris, 2002.

[23] M. Garrido, J. Diebolt & S. Girard. "Une nouvelle approche bayésienne pour l'estimation des paramètres d'une loi GPD", Journées MAS, Grenoble, 2002.

[22] S. Girard & L. Menneteau. "Théorèmes limites pour l'estimation du contour d'un processus de poisson", 34èmes Journées de Statistique organisées par la Société Française de Statistique, p. 232, Bruxelles, 2002.

[21] M. Garrido, J. Diebolt & S. Girard. "Une nouvelle approche bayésienne pour l'estimation des paramètres d'une loi GPD", 34èmes Journées de Statistique organisées par la Société Française de Statistique, p. 84, Bruxelles, 2002.

[20] S. Girard & S. Iovleff. "Modèles Auto-Associatifs et Analyse en Composantes Principales généralisée", 34èmes Journées de Statistique organisées par la Société Française de Statistique, p. 231, Bruxelles, 2002.

[19] A. Gannoun, S. Girard, C. Guinot & J. Saracco "Une méthode semi-paramétrique pour l'estimation de courbes de référence",34èmes Journées de Statistique organisées par la Société Française de Statistique, p. 340, Bruxelles, 2002.

2000-2001

[18] S. Girard & P. Jacob. "Extreme values estimates of point processes boundaries", Second International Symposium on Extreme Value Analysis, Leuven, 2001.

[17] J. Diebolt, M. Garrido & S. Girard. " The ET test, a goodness-of-fit test to the distribution tail", Second International Symposium on Extreme Value Analysis, Leuven, 2001.

[16] C. Amblard & S. Girard. "Etude d'une famille semi-paramétrique de copules symétriques", 33èmes Journées de Statistique organisées par la Société Française de Statistique, p. 137-140, Nantes, 2001.

[15] A. Gannoun, S. Girard, C. Guinot & J. Saracco "Estimation non-paramétrique de courbes de référence pour l'analyse de propriétés biophysiques de la peau",33èmes Journées de Statistique organisées par la Société Française de Statistique, p. 757-759, Nantes, 2001.

[14] S. Girard & J. Diebolt. "Consequences of the Pickands approximation on the extreme quantiles estimation", Second International Conference on Mathematical Methods in Reliability, p. 459-462, Bordeaux, 2000.

1998-1999

[13] S. Girard & P. Jacob. "Estimation du support d'un processus de poisson par séries othogonales", 31èmes Journées de Statistique organisées par la Société Française de Statistique, p. 719-722, Grenoble, 1999.

[12] S. Girard & J. Diebolt. "On the consistency of the ET method", Colloque de la Société Mathématique Tunisienne (SMT), p. 214-227, Tabarka, 1999.

[11] S. Girard & J. Diebolt. "Consistance de la méthode ET et variations régulières", 31èmes Journées de Statistique organisées par la Société Française de Statistique, p. 757-759, Grenoble, 1999.

[10] S. Girard & J. Diebolt. "Convergence de l'estimation des quantiles extrêmes par la méthode ET", 30èmes Journées de Statistique organisées par la Société Française de Statistique, p. 265-267, Rennes, 1998.

[9] S. Girard, P. Guérin, H. Maître & M. Roux. "Construction d'une carte de disparité dense pour la reconnaissance de batiments en imagerie aérienne", RFIA-AFCET, Clermont-Ferrand, 1998.

[8] S. Girard, P. Guérin, H. Maître & M. Roux. "Building Detection from High Resolution Colour Images", 4rd International Symposium on Remote Sensing, Europto'98, Barcelone, 1998.

1994-1997

[7] S. Girard, B. Chalmond & J-M. Dinten. "Construction et apprentissage statistique de modèles auto-associatifs non-linéaires", 29èmes Journées de Statistique organisées par la Société Française de Statistique, p. 410-413, Carcassonne, 1997.

[6] S. Girard, B. Chalmond & J-M. Dinten. "Apprentissage de modèles flexibles non-linéaires pour la reconnaissance de formes", Seizième colloque GRETSI, p. 1295-1298, Grenoble, 1997.

[5] M. Roux, H. Maître & S. Girard. "A step towards stereo reconstruction of urban aerial images", ISPRS Workshop, 3D reconstruction and modeling of topographic objects, Stuttgart, 1997.

[4] B. Chalmond, S. Girard & J-M. Dinten. "Designing non linear models for flexible curves from a set of examples", Third International Conference on Curves and Surfaces, organisée par l'Association Francaise d'Approximation, Chamonix Mont Blanc, 1996.

[3] S. Girard, J-M. Dinten & B. Chalmond. "Construction automatique de modèles radiographiques flexibles à partir d'un jeu d'exemples", Quinzième colloque GRETSI, p. 1253-1256, Juan-Les-Pins, 1995.

[2] S. Girard, J-M. Dinten & B. Chalmond. "Automatic building of radiographic flexible models using a set of examples", Fifth International Conference on Image Processing and its Applications, p. 697-701, Edimbourg, 1995.

[1] J-M. Dinten, S. Girard & N. Heymes. "Inspection automatique par radiographie de plaquettes métalliques très absorbantes", RFIA-AFCET, p. 635-640, Paris, 1994.