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Memory deficits of 5xFAD mice in the olfactory H maze test correlate with plaques development and are prevented by 5-HT4R agonist treatments.
Patrizia Giannoni
,
Kévin Baranger
,
Sarah Girot
,
Stéphane Girard
,
Florence Gaven
,
et al.
AAIC, Jul 2014, Copenhague, Denmark
Communication dans un congrès
hal-02918560v1
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On the use of a local $\hat R$ to improve MCMC convergence diagnostic
Théo Moins
,
Julyan Arbel
,
Anne Dutfoy
,
Stéphane Girard
Article dans une revue
hal-03600407v2
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On the regularization of Sliced Inverse Regression
Stéphane Girard
Statlearn'10 - Workshop on Challenging problems in Statistical Learning, Jan 2010, Paris, France. pp.CDROM
Communication dans un congrès
hal-00762725v1
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Extreme Partial Least-Squares
Meryem Bousebata
,
Geoffroy Enjolras
,
Stéphane Girard
Article dans une revue
hal-03165399v3
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An introduction to SIR: A statistical method for dimension reduction in multivariate regression
Stéphane Girard
2014
Pré-publication, Document de travail
hal-01058721v1
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Nonparametric extreme conditional expectile estimation
Stéphane Girard
,
Gilles Stupfler
,
Antoine Usseglio-Carleve
Article dans une revue
hal-02114255v3
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Extreme Lp-quantile kernel regression
Stéphane Girard
,
Gilles Stupfler
,
Antoine Usseglio-Carleve
Chapitre d'ouvrage
hal-03182032v1
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A refined Weissman estimator for extreme quantiles
Michaël Allouche
,
Jonathan El Methni
,
Stéphane Girard
Compstat 2022 - 24th International Conference on Computational Statistics, Aug 2022, Bologna, Italy
Communication dans un congrès
hal-03764409v1
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HDclassif: An R Package for Model-Based Clustering and Discriminant Analysis of High-Dimensional Data
Laurent Bergé
,
Charles Bouveyron
,
Stéphane Girard
1ères Rencontres R, Jul 2012, Bordeaux, France
Communication dans un congrès
hal-00717506v1
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A refined extreme quantiles estimator of Weibull tail-distributions
Jonathan El Methni
,
Stéphane Girard
CMStatistics 2022 - 15th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2022, London, United Kingdom
Communication dans un congrès
hal-03910631v1
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Deux méthodes statistiques pour la classification et la régression en grande dimension
Stéphane Girard
2019
Pré-publication, Document de travail
hal-02156948v1
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High Dimensional Kullback-Leibler Divergence for grassland object-oriented classification from high resolution satellite image time series
Mailys Lopes
,
Mathieu Fauvel
,
Stéphane Girard
,
David Sheeren
,
Marc Lang
4ème Journée Thématique du Programme National de Télédétection Spatiale (PNTS), Mar 2016, Paris, France. 2016
Poster de conférence
hal-01366221v1
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Estimation of risk measures for extreme pluviometrical measurements
Jonathan El Methni
,
Laurent Gardes
,
Stéphane Girard
Workshop "Extreme value modeling and water ressources", 2016, Aussois, France
Communication dans un congrès
hal-01340774v1
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Estimating a frontier function using a high-order moments method
Gilles Stupfler
,
Stéphane Girard
,
Armelle Guillou
31st European Meeting of Statisticians, Jul 2017, Helsinki, Finland
Communication dans un congrès
hal-01571126v1
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A class of multivariate copulas based on products of bivariate copulas
Gildas Mazo
,
Stéphane Girard
,
Florence Forbes
Article dans une revue
hal-00910775v4
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Estimating an endpoint using high order moments
Stéphane Girard
,
Armelle Guillou
,
Gilles Stupfler
EVA 2011 - 7th International Conference on Extreme Value Analysis, Jun 2011, Lyon, France
Communication dans un congrès
hal-00847585v1
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Spectro-Temporal Heterogeneity Measures from Dense High Spatial Resolution Satellite Image Time Series: Application to Grassland Species Diversity Estimation
Mailys Lopes
,
Mathieu Fauvel
,
Annie Ouin
,
Stéphane Girard
Article dans une revue
hal-01613722v1
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A refined Weissman estimator for extreme quantiles
Michaël Allouche
,
Jonathan El Methni
,
Stéphane Girard
Article dans une revue
hal-03266676v3
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Classification supervisée par modèle de mélange: Application aux diagnostics par autopsie verbale
Seydou Nourou Sylla
,
Stéphane Girard
,
Abdou Kâ Diongue
,
Aldiouma Diallo
,
Cheikh Sokhna
46èmes Journées de Statistique, Société Française de Statistique, Jun 2014, Rennes, France. pp.1-5
Communication dans un congrès
hal-01090014v2
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A gamma-moment approach to monotonic boundaries estimation: with applications in econometric and nuclear fields
Abdelaati Daouia
,
Stéphane Girard
,
Armelle Guillou
EVA 2013 - 8th International Conference on Extreme Value Analysis, Jul 2013, Shanghai, China
Communication dans un congrès
hal-00851125v1
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Classification de Signaux Multidimensionnels Irrégulièrement Echantillonnés
Alexandre Constantin
,
Mathieu Fauvel
,
Stéphane Girard
,
Serge Iovleff
,
Yannick Tanguy
2019 - Journée Jeunes Chercheurs MACLEAN du GDR MADICS, Dec 2019, Paris, France. pp.1-2
Communication dans un congrès
hal-02394120v1
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Estimation de point terminal dans le domaine d'attraction de Weibull par une méthode des moments d'ordre élevé
Gilles Stupfler
,
Stéphane Girard
,
Armelle Guillou
44e Journées de Statistique, May 2012, Bruxelles, Belgique
Communication dans un congrès
hal-00801381v1
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An automatic procedure to select a block size in the continuous generalized extreme value model estimation
Pascal Sielenou Dkengne
,
Stéphane Girard
,
Samia Ahiad
2020
Pré-publication, Document de travail
hal-02952279v1
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Classification de Signaux Multidimensionnels Irrégulièrement Échantillonnés
Alexandre Constantin
,
Mathieu Fauvel
,
Stéphane Girard
,
Serge Iovleff
GRETSI 2019 - 27e Colloque francophone de traitement du signal et des images, Aug 2019, Lille, France
Poster de conférence
hal-02276255v1
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Extreme-value-theoretic estimation of local intrinsic dimensionality
Laurent Amsaleg
,
Oussama Chelly
,
Teddy Furon
,
Stéphane Girard
,
Michael E Houle
,
et al.
Article dans une revue
hal-01864580v1
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A HILL TYPE ESTIMATOR OF THE WEIBULL TAIL-COEFFICIENT
Stéphane Girard
Communications in Statistics - Theory and Methods, 2004, 33 (2), pp.205-234
Article dans une revue
hal-00724602v1
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Limit theorems for extreme value estimates of point processes boundaries
Stéphane Girard
,
Ludovic Menneteau
[Research Report] RR-4366, INRIA. 2002
Rapport
inria-00072222v1
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Linear programming problems for frontier estimation
Guillaume Bouchard
,
Stéphane Girard
,
Anatoli B. Juditsky
,
Alexander Nazin
[Research Report] RR-4717, INRIA. 2003
Rapport
inria-00071869v1
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Frontier estimation via kernel regression on high power-transformed data
Stéphane Girard
,
Pierre Jacob
Article dans une revue
hal-00077683v3
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Statistics for Astrophysics: Bayesian Methodology
Didier Fraix-Burnet
,
Stéphane Girard
,
Julyan Arbel
,
Jean-Baptiste Marquette
School of Stattistics for Astrophysics 2017: Bayesian Methodology, Oct 2017, Autrans, France. EDP Sciences, 2018, EDP Sciences Proceedings
Proceedings/Recueil des communications
hal-02132985v1
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