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A sliced inverse regression approach for data stream

Marie Chavent , Stéphane Girard , Vanessa Kuentz , Benoit Liquet , Thi Mong Ngoc Nguyen et al.
Computational Statistics, 2014, 29 (5), pp.1129-1152. ⟨10.1007/s00180-014-0483-4⟩
Journal articles hal-01139870v4
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On automatic bias reduction for extreme expectile estimation

Stéphane Girard , Gilles Stupfler , Antoine Usseglio-Carleve
Statistics and Computing, 2022, 32, pp.64. ⟨10.1007/s11222-022-10118-x⟩
Journal articles hal-03086048v2
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Functional estimation of extreme conditional expectiles

Stéphane Girard , Gilles Stupfler , Antoine Usseglio-Carleve
Econometrics and Statistics , 2022, 21, pp.131-158. ⟨10.1016/j.ecosta.2021.05.006⟩
Journal articles hal-03117547v2

Estimation of extreme quantiles from heavy-tailed distributions with neural networks

Michaël Allouche , Stéphane Girard , Emmanuel Gobet
CMStatistics 2022 - 15th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2022, London, United Kingdom
Conference papers hal-03910645v1
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Auto-Associative Models and Generalized Principal Component Analysis

Stéphane Girard , Serge Iovleff
Journal of Multivariate Analysis, 2005, 93 (1), pp.21-39. ⟨10.1016/j.jmva.2004.01.006⟩
Journal articles hal-00383139v1
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On the relative approximation error of extreme quantiles by the block maxima method

Clément Albert , Anne Dutfoy , Stéphane Girard
10th International Conference on Extreme Value Analysis, Jun 2017, Delft, Netherlands
Conference papers hal-01571047v1
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Bayesian neural network unit priors and generalized Weibull-tail property

Mariia Vladimirova , Julyan Arbel , Stéphane Girard
ACML 2021 - 13th Asian Conference on Machine Learning, Nov 2021, Virtual, Unknown Region. pp.1-16
Conference papers hal-03368522v1
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Régression inverse par tranches sur flux de données

Marie Chavent , Stéphane Girard , Vanessa Kuentz , Benoit Liquet , Thi Mong Ngoc Nguyen et al.
44e Journées de Statistique, May 2012, Bruxelles, Belgique. 7 p
Conference papers hal-00736584v1
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On the Convergence of the ET Method for Extreme Upper Quantile Estimation

Stéphane Girard , Jean Diebolt
RR-3389, INRIA. 1998
Reports inria-00073300v1

Bayesian estimation of natural extreme risk measures. Application to agricultural insurance

Meryem Bousebata , Geoffroy Enjolras , Stéphane Girard
IDRiM 2019 - 10th conference of the international society for Integrated Disaster Risk Management, Oct 2019, Nice, France
Conference papers hal-02276292v1
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On the estimation of the functional Weibull tail-coefficient

Laurent Gardes , Stéphane Girard
Journal of Multivariate Analysis, 2016, Special Issue on Statistical Models and Methods for High or Infinite Dimensional Spaces, 146 (C), pp.29--45. ⟨10.1016/j.jmva.2015.05.007⟩
Journal articles hal-01063569v3
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A new location-scale model for conditional heavy-tailed distributions

Aboubacrène Ag Ahmad , Aliou Diop , El Hadji Deme , Stéphane Girard
IFSS 2018 - 2nd Italian-French Statistics Seminar, Sep 2018, Grenoble, France
Poster communications hal-01942204v1
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Un nouvel estimateur des quantiles extrêmes basé sur le modèle “log Weibull-tail” généralisé

Clément Albert , Anne Dutfoy , Laurent Gardes , Stéphane Girard
SFDS 2018 - 50èmes Journées de Statistique, May 2018, Saclay, France. pp.1-6
Conference papers hal-01807672v1
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A Pickands type estimator of the extreme value index

Laurent Gardes , Stéphane Girard
2004
Preprints, Working Papers, ... hal-00001307v1
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Estimating extreme quantiles of Weibull tail-distributions

Laurent Gardes , Stéphane Girard
Communications in Statistics - Theory and Methods, 2005, 34, pp.1065-1080
Journal articles hal-00326609v1
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On Reparameterisations of the Poisson Process Model for Extremes in a Bayesian Framework

Théo Moins , Julyan Arbel , Anne Dutfoy , Stéphane Girard
JDS 2021 - 52èmes Journées de Statistique de la Société Française de Statistique (SFdS), Jun 2021, Nice / Virtual, France. pp.1-6
Conference papers hal-03264261v1

Estimation of the largest tail-index and extreme quantiles from a mixture of heavy-tailed distributions

Stéphane Girard , Emmanuel Gobet
CMStatistics 2021 - 14th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2021, London, United Kingdom
Conference papers hal-03501785v1

Advanced topics in Sliced Inverse Regression V2

Jérôme Saracco , Hadrien Lorenzo , Stéphane Girard
JMVA 2022 - 50th Anniversary Jubilee, Apr 2022, Virtual Meeting, United States
Conference papers hal-03842478v1
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Bias-reduced extreme quantiles estimators of Weibull distributions

Jean Diebolt , Laurent Gardes , Stéphane Girard , Armelle Guillou
Journal of Statistical Planning and Inference, 2008, 138 (5), pp.1389-1401. ⟨10.1016/j.jspi.2007.04.025⟩
Journal articles hal-00015778v2
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Considering hazard estimation uncertain in urban resilience strategies

Bruno Barroca , Pietro Bernadara , Stéphane Girard , Gildas Mazo
Natural Hazards and Earth System Sciences, 2015, 15 (1), pp.25-34. ⟨10.5194/nhess-15-25-2015⟩
Journal articles hal-01100539v1

Asymptotic properties of a Pickands type estimator of the extreme value index

Laurent Gardes , Stéphane Girard
Focus on probability theory, Nova Science, pp.133-149, 2006
Book sections hal-00104066v1

Smoothed extreme value estimators of non-uniform point processes boundaries with application to star-shaped supports estimation

Stéphane Girard , Ludovic Menneteau
Communications in Statistics - Theory and Methods, 2008, 37 (6), pp.881-897. ⟨10.1080/03610920701693884⟩
Journal articles inria-00317239v1

On the asymptotic behaviour of extreme geometric quantiles

Gilles Stupfler , Stéphane Girard
9th International Conference on Extreme Value Analysis, Jun 2015, Ann Arbor, United States
Conference papers hal-01168521v1

Estimation of extreme expectiles from heavy tailed distributions

Stéphane Girard , Abdelaati Daouia , Gilles Stupfler
9th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2016, Seville, Spain
Conference papers hal-01415586v1
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Estimation de quantiles extrêmes pour les lois à queue de type Weibull : une synthèse bibliographique

Laurent Gardes , Stéphane Girard
Journal de la Société Française de Statistique, 2013, 154 (2), pp.98-118
Journal articles hal-00799249v2

Robust supervised classification with Gaussian mixtures: learning from data with uncertain labels

Charles Bouveyron , Stéphane Girard
COMPSTAT'2008 - 18th International Conference on Computational Statistics, Aug 2008, Porto, Portugal. pp.129-136
Conference papers hal-00270654v1
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Nonparametric estimation of the conditional tail copula

Laurent Gardes , Stéphane Girard
Journal of Multivariate Analysis, 2015, 137, pp.1-16. ⟨10.1016/j.jmva.2015.01.018⟩
Journal articles hal-00964514v3
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On kernel smoothing for extremal quantile regression

Abdelaati Daouia , Laurent Gardes , Stéphane Girard
Bernoulli, 2013, 19 (5B), pp.2557-2589. ⟨10.3150/12-BEJ466⟩
Journal articles hal-00630726v3

Auto-associative models, nonlinear Principal component analysis, manifolds and projection pursuit

Stéphane Girard , Serge Iovleff
Alexander N. Gorban, Balázs Kégl, Donald C. Wunsch, and Andrei Y. Zinovyev. Principal Manifolds for Data Visualisation and Dimension Reduction, Springer-Verlag, pp.202-218, 2008, Lecture Notes in Computational Science and Engineering, 978-3-540-73749-0. ⟨10.1007/978-3-540-73750-6_8⟩
Book sections hal-00383137v1

A new semi-parametric family of estimators for the second order parameter

El Hadji Deme , Laurent Gardes , Stéphane Girard
EVA 2011 - 7th International Conference on Extreme Value Analysis, Jun 2011, Lyon, France. pp.CDROM
Conference papers hal-00764313v1