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Journal articles34 documents

  • Frédéric Ferraty, Anthony Zullo, Mathieu Fauvel. Nonparametric regression on contaminated functional predictor with application to hyperspectral data. Econometrics and Statistics , Elsevier, 2019, 9, pp.95-107. ⟨10.1016/j.ecosta.2017.02.004⟩. ⟨hal-01605940⟩
  • Stanislav Nagy, Frédéric Ferraty. DATA DEPTH FOR MEASURABLE NOISY RANDOM FUNCTIONS. Journal of Multivariate Analysis, Elsevier, 2019, 170, pp.95-114. ⟨10.1016/j.jmva.2018.11.003⟩. ⟨hal-01980154⟩
  • Anthony Zullo, Mathieu Fauvel, Frédéric Ferraty. Experimental comparison of functional and multivariate spectral-based supervised classification methods in hyperspectral image. Journal of Applied Statistics, Taylor & Francis (Routledge), 2018, 45 (2), pp.2219-2237. ⟨10.1080/02664763.2017.1414162⟩. ⟨hal-01948618⟩
  • Frédéric Ferraty, Alejandro Quintela-Del-Río. Conditional VaR and expected shortfall: a new functional approach. Econometric Reviews, Taylor & Francis, 2016, 35 (2), pp.263-292. ⟨10.1080/07474938.2013.807107⟩. ⟨hal-01980180⟩
  • Frédéric Ferraty, Peter Hall. An Algorithm for Nonlinear, Nonparametric Model Choice and Prediction. Journal of Computational and Graphical Statistics, Taylor & Francis, 2015, 24 (3), pp.695-714. ⟨10.1080/10618600.2014.936605⟩. ⟨hal-01980191⟩
  • Mathieu Fauvel, Clément Dechesne, Anthony Zullo, Frédéric Ferraty. Fast forward feature selection of hyperspectral images for classification with gaussian mixture models. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE, 2015, 8 (6), pp.2824-2831. ⟨10.1109/jstars.2015.2441771⟩. ⟨hal-02638712⟩
  • Frédéric Ferraty. Regression on functional data: methodological approach with application to near-infrared spectrometry. Journal de la Société Française de Statistique, Société Française de Statistique et Société Mathématique de France, 2014. ⟨hal-01980009⟩
  • Frédéric Ferraty, Aldo Goia, Ernesto Salinelli, Philippe Vieu. Functional projection pursuit regression. Test, Spanish Society of Statistics and Operations Research/Springer, 2013, 22 (2), p. 293-320. ⟨10.1007/s11749-012-0306-2⟩. ⟨hal-00966065⟩
  • Frédéric Ferraty, Nadia Kudraszow, Philippe Vieu. Nonparametric estimation of a surrogate density function in infinite-dimensional spaces. Journal of Nonparametric Statistics, American Statistical Association, 2012, 24 (2), pp.447-464. ⟨10.1080/10485252.2012.671943⟩. ⟨hal-00933580⟩
  • Frédéric Ferraty, Alejandro Quintela-Del-Río, Philippe Vieu. Specification test for conditional distribution with functional data. Econometric Theory, Cambridge University Press (CUP), 2012, 28 (2), pp.363-386. ⟨10.1017/S0266466611000351⟩. ⟨hal-00933604⟩
  • Frédéric Ferraty, Wenceslao González-Manteiga, Adela Martínez-Calvo, Philippe Vieu. Presmoothing in functional linear regression. Statistica Sinica, Taipei : Institute of Statistical Science, Academia Sinica, 2012, 22 (1), pp.69-94. ⟨10.5705/ss.2010.085⟩. ⟨hal-00933573⟩
  • Frédéric Ferraty, Ali Laksaci, Amel Tadj, Philippe Vieu. Estimation de la fonction de régression pour variable explicative et réponse fonctionnelles dépendantes [Nonparametric regression for functional response and functional regressor under dependence]. Comptes rendus de l'Académie des sciences. Série I, Mathématique, Elsevier, 2012, 350 (13-14), pp.717-720. ⟨10.1016/j.crma.2012.07.014⟩. ⟨hal-00795863⟩
  • Frédéric Ferraty, Ingrid van Keilegom, Philippe Vieu. Regression when both response and predictor are functions. Journal of Multivariate Analysis, Elsevier, 2012, 109, pp.10-28. ⟨10.1016/j.jmva.2012.02.008⟩. ⟨hal-00795865⟩
  • Frédéric Ferraty, Ali Laksaci, Amel Tadj, Philippe Vieu. Kernel regression with functional response. Electronic Journal of Statistics , Shaker Heights, OH : Institute of Mathematical Statistics, 2011, 5, pp.159-171. ⟨10.1214/11-EJS600⟩. ⟨hal-00794883⟩
  • Laurent Delsol, Frédéric Ferraty, Philippe Vieu. Structural test in regression on functional variables. Journal of Multivariate Analysis, Elsevier, 2011, 102 (3), pp.422-447. ⟨10.1016/j.jmva.2010.10.003⟩. ⟨hal-00630999⟩
  • Mohand Bouraine, Ahmed Ait Saidi, Frédéric Ferraty, Philippe Vieu. Choix optimal de l'indice multi-fonctionnel: méthode de validation croisée. Revue roumaine de mathématiques pures et appliquées, Editura Academiei Române, 2010, 55 (5), pp.355-367. ⟨hal-00629366⟩
  • J. Barrientos-Marin, Frédéric Ferraty, Philippe Vieu. Locally modelled regression and functional data. Journal of Nonparametric Statistics, American Statistical Association, 2010, 22 (5-6), pp.617-632. ⟨10.1080/10485250903089930⟩. ⟨hal-00629240⟩
  • Frédéric Ferraty, Ingrid van Keilegom, Philippe Vieu. On the validity of the bootstrap in non-parametric functional regression. Scandinavian Journal of Statistics, Wiley, 2010, 37 (2), pp.286-306. ⟨10.1111/j.1467-9469.2009.00662.x⟩. ⟨hal-00629620⟩
  • Frédéric Ferraty. High-dimensional data : a fascinating statistical challenge. Journal of Multivariate Analysis, Elsevier, 2010, 101 (2), pp.305-306. ⟨10.1016/j.jmva.2009.10.012⟩. ⟨hal-00629611⟩
  • Frédéric Ferraty, P. Hall, Philippe Vieu. Most-predictive design points for functional data predictors. Biometrika, Oxford University Press (OUP), 2010, 97 (4), pp.807-824. ⟨10.1093/biomet/asq058⟩. ⟨hal-00629615⟩
  • Frédéric Ferraty, Ali Laksaci, Amel Tadj, Philippe Vieu. Rate of uniform consistency for nonparametric estimates with functional variables. Journal of Statistical Planning and Inference, Elsevier, 2010, 140 (2), pp.335-352. ⟨10.1016/j.jspi.2009.07.019⟩. ⟨hal-00629617⟩
  • Frédéric Ferraty, Philippe Vieu. Additive prediction and boosting for functional data. Computational Statistics and Data Analysis, Elsevier, 2009, 53 (4), pp.1400-1413. ⟨10.1016/j.csda.2008.11.023⟩. ⟨hal-00628614⟩
  • Florent Burba, Frédéric Ferraty, Philippe Vieu. k-nearest neighbour method in functional nonparametric regression. Journal of Nonparametric Statistics, American Statistical Association, 2009, 21 (4), pp.453-469. ⟨10.1080/10485250802668909⟩. ⟨hal-00628233⟩
  • Frédéric Ferraty, Abbes Rabhi, Philippe Vieu. Estimation non-paramétrique de la fonction de hasard avec variable explicative fonctionnelle. [Nonparametric estimation of the hazard function with explanatory functional variable]. Revue roumaine de mathématiques pures et appliquées, Editura Academiei Române, 2008, 53 (1), pp.1-18. ⟨hal-00794957⟩
  • Ahmed Ait-Saïdi, Frédéric Ferraty, Rabah Kassa, Philippe Vieu. Choix optimal du paramètre fonctionnel dans le modèle à indice fonctionnel simple. Comptes Rendus. Mathématique, Académie des sciences (Paris), 2008, 346 (3-4), pp.217-220. ⟨10.1016/j.crma.2007.12.013⟩. ⟨hal-00634462⟩
  • Florent Burba, Frédéric Ferraty, Philippe Vieu. Convergence de l'estimateur à noyau des k plus proches voisins en régression fonctionnelle non-paramétrique. Comptes Rendus. Mathématique, Académie des sciences (Paris), 2008, 346 (5-6), pp.339-342. ⟨10.1016/j.crma.2008.01.022⟩. ⟨hal-00634630⟩
  • Ahmed Ait-Saïdi, Frédéric Ferraty, Rabah Kassa, Philippe Vieu. Cross-validated estimations in the single-functional index model. Statistics, Taylor & Francis: STM, Behavioural Science and Public Health Titles, 2008, 42 (6), pp.475-494. ⟨10.1080/02331880801980377⟩. ⟨hal-00634465⟩
  • Frédéric Ferraty, Andre Mas, Philippe Vieu. Advances on nonparametric regression for functional variables. Australian and New Zealand Journal of Statistics, Wiley, 2007, 49 (3), pp.267-286. ⟨10.1111/j.1467-842X.2007.00480.x⟩. ⟨hal-00635687v2⟩
  • Karim Benhenni, Frédéric Ferraty, Mustapha Rachdi, Philippe Vieu. Local smoothing regression with functional data. Computational Statistics, Springer Verlag, 2007, 22 (3), pp.353-369. ⟨10.1007/s00180-007-0045-0⟩. ⟨hal-00795596⟩
  • Frédéric Ferraty, Sylvie Viguier-Pla, Philippe Vieu. Factor-based comparison of groups of curves. Computational Statistics and Data Analysis, Elsevier, 2007, 51 (10), pp.4903-4910. ⟨10.1016/j.csda.2006.10.001⟩. ⟨hal-00635689⟩
  • Sophie Dabo-Niang, Frédéric Ferraty, Philippe Vieu. On the using of modal curves for radar waveforms classification. Computational Statistics and Data Analysis, Elsevier, 2007, 51 (10), pp.4878-4890. ⟨10.1016/j.csda.2006.07.012⟩. ⟨hal-00635607⟩
  • Nathalie Villa, Martin Paegelow, Maria Camacho Olmedo, Laurence Cornez, Frédéric Ferraty, et al.. Various Approaches for Predicting Land Cover in Mountain Areas. Communications in Statistics - Simulation and Computation, Taylor & Francis, 2007, 36 (1), pp.73-86. ⟨10.1080/03610910601096379⟩. ⟨hal-00144147⟩
  • Martin Paegelow, Nathalie Villa, Laurence Cornez, Frédéric Ferraty, Louis Ferré, et al.. Modélisation prospective de l’occupation du sol. Le cas d’une montagne méditerrannéenne.. Cybergeo : Revue européenne de géographie / European journal of geography, UMR 8504 Géographie-cités, 2004, 21 p. en ligne. ⟨hal-03160711⟩
  • Martin Paegelow, Nathalie Villa, Laurence Cornez, Frédéric Ferraty, Louis Ferré, et al.. Modélisations prospectives de l'occupation du sol. Le cas d'une montagne méditerranéenne. Cybergeo : Revue européenne de géographie / European journal of geography, UMR 8504 Géographie-cités, 2004, 295, 15 p. ⟨hal-00144134v2⟩

Conference papers6 documents

  • Mathieu Fauvel, Anthony Zullo, Frédéric Ferraty. Nonlinear parsimonious feature selection for the classification of hyperspectral images. 6. Workshop on Hyperspectral image and signal processing: evolution in remote sensing, Jun 2014, Lausanne, Switzerland. 4 p. ⟨hal-02797359⟩
  • Anthony Zullo, Mathieu Fauvel, Frédéric Ferraty. Classification d’images hyperspectrales par des méthodes fonctionnelles non-paramétriques. 3. colloque scientifique SFPT-GH, May 2014, Porquerolles, France. ⟨hal-02742518⟩
  • Anthony Zullo, Mathieu Fauvel, Frédéric Ferraty, Michel Goulard, Philippe Vieu. Non-parametric functional methods for hyperspectral image classification. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Jul 2014, Quebec, Canada. pp.4, ⟨10.1109/IGARSS.2014.6947217⟩. ⟨hal-02740723⟩
  • Laurent Delsol, Frédéric Ferraty, Philippe Vieu. Utilisation de tests de structure en régression sur variable fonctionnelle.. 42èmes Journées de Statistique, 2010, Marseille, France, France. ⟨inria-00494772⟩
  • Fabrice Morlais, Frédéric Ferraty, Philippe Vieu. Découpage de courbes de densité : Application au dépistage du cancer. 42èmes Journées de Statistique, 2010, Marseille, France, France. ⟨inria-00494795⟩
  • Alain Boudou, Frédéric Ferraty, Yves Romain, Pascal Sarda, Philippe Vieu, et al.. Introduction to IWFOS'2008. International Workshop on Functional and Operational Statistics (IWFOS), 2008, France. pp.1-5, ⟨10.1007/978-3-7908-2062-1_1⟩. ⟨hal-00634623⟩

Book sections11 documents

  • Frédéric Ferraty, Philippe Vieu. Kernel regression estimation for functional data. The Oxford handbook of functional data analysis, Oxford university press, pp.72-129, 2011, 9780199568444. ⟨hal-00794727⟩
  • Alejandro Quintela-Del-Río, Frédéric Ferraty, Philippe Vieu. Nonparametric conditional density estimation for functional data. Econometric applications. Recent Advances in Functional Data Analysis and Related Topics, Physica-Verlag / Springer, pp.263-268, 2011, 978-3-7908-2735-4. ⟨10.1007/978-3-7908-2736-1_41⟩. ⟨hal-00794752⟩
  • Frédéric Ferraty, Juhyun Park, Philippe Vieu. Estimation of a functional single index model. Recent Advances in Functional Data Analysis and Related Topics, Physica-Verlag / Springer, pp.111-116, 2011, 978-3-7908-2735-4. ⟨10.1007/978-3-7908-2736-1_17⟩. ⟨hal-00794772⟩
  • Frédéric Ferraty, Aldo Goia, Enersto Salinelli, Philippe Vieu. Recent advances on functional additive regression. Recent Advances in Functional Data Analysis and Related Topics, Physica-Verlag / Springer, pp.97-102, 2011, 978-3-7908-2735-4. ⟨10.1007/978-3-7908-2736-1_15⟩. ⟨hal-00794806⟩
  • Laurent Delsol, Frédéric Ferraty, Philippe Vieu. Structural tests in regression on functional variable. Recent advances in functional data analysis and related topics, Physica-Verlag / Springer, pp.77-83, 2011, 978-3-7908-2735-4. ⟨10.1007/978-3-7908-2736-1_12⟩. ⟨hal-00794815⟩
  • German Aneiros, Frédéric Ferraty, Philippe Vieu. Variable selection in semi-functional regression models. Recent advances in functional data analysis and related topics, Physica-Verlag / Springer, pp.17-22, 2011, 978-3-7908-2735-4. ⟨10.1007/978-3-7908-2736-1_3⟩. ⟨hal-00794855⟩
  • Frédéric Ferraty, Adela Martínez-Calvo, Philippe Vieu. Thresholding in nonparametric functional regression with scalar response. Recent advances in functional data analysis and related topics, Physica-Verlag / Springer, pp.103-109, 2011, 978-3-7908-2735-4. ⟨10.1007/978-3-7908-2736-1_16⟩. ⟨hal-00794782⟩
  • Frédéric Ferraty, Philippe Vieu. A unifying classification for functional regression modeling. Oxford handbook of functional data analysis, Oxford university press, pp.3-20, 2011, 9780199568444. ⟨hal-00794733⟩
  • Martin Paegelow, Maria Camacho Olmedo, Frédéric Ferraty, Louis Ferré, Pascal Sarda, et al.. Prospective modelling of environmental dynamics. A methodological comparison applied to mountain land cover changes. Modelling Environmental Dynamics, Springer, pp.141-168, 2008, ⟨10.1007/978-3-540-68498-5_5⟩. ⟨hal-00667123⟩
  • Frédéric Ferraty, Aldo Goia, Philippe Vieu. Nonparametric functional methods: new tools for chemometric analysis. Statistical methods for biostatistics and related fields, Springer, pp.245-264, 2007. ⟨hal-00795601⟩
  • Frédéric Ferraty, Martin Paegelow, Pascal Sarda. Polychotomous regression : application to landcover prediction. Statistical case studies, Springer Verlag, 13 p. en ligne, 2005. ⟨halshs-01062315⟩

Directions of work or proceedings4 documents

  • Frédéric Ferraty, Piotr Kokoszka, Jane-Ling Wang, Yichao Wu. Special Issue on HIGH-DIMENSIONAL AND FUNCTIONAL DATA ANALYSIS. Computational Statistics and Data Analysis, Elsevier, 2019, Special Issue on High-dimensional and Functional Data Analysis. ⟨hal-01981010⟩
  • Frédéric Ferraty, Yves Romain. The Oxford Handbook of Functional Data Analaysis. Oxford university press, XVI-494 p., 2011, 978-0-19-956844-4. ⟨hal-00737520⟩
  • Frédéric Ferraty. Recent Advances in Functional Data Analysis and Related Topics. Physica-Verlag / Springer, 320 p., 2011, 978-3-7908-2735-4. ⟨10.1007/978-3-7908-2736-1⟩. ⟨hal-00794868⟩
  • Sophie Dabo-Niang, Frédéric Ferraty. Functional and Operatorial Statistics. Physica-Verlag / Springer, 303 p., 2008, 978-3-7908-2061-4. ⟨10.1007/978-3-7908-2062-1⟩. ⟨hal-00794943⟩