Saporta

Gilbert Saporta

Professeur émérite
Équipe : Méthodes statistiques de data-mining et apprentissage
Site web : http://cedric.cnam.fr/~saporta
Téléphone : +33 1 40 27 22 68
Bureau : 31-1-7A

Professeur émérite depuis septembre 2014 Guest professor 2017-2022: Beihang University, Chine

2024

Articles de revue

  1. Abdi, H.; Guillemot, V.; Liu, R.; Niang, N.; Saporta, G. and Yu, J-c. From Plain to Sparse Correspondence Analysis: a Generalized SVD Approach. In Statistica Applicata - Italian Journal of Applied Statistics, 35 (3): 301-338, 2024. doi  www 

Chapitres d'ouvrage

  1. Abdi, H.; Di Ciaccio, A. and Saporta, G. Old and~New Perspectives on~Optimal Scaling. In Analysis of Categorical Data from Historical Perspectives, pages 131-154, Springer Nature, Behaviormetrics: Quantitative Approaches to Human Behavior 17, 2024. doi  www 

Articles de conférence

  1. Niang, N.; Ouattara, M. and Saporta, G. Clustering variables: a survey and some new developments. In Sensometrics 2024, Paris, France, 2024. www 
  1. Saporta, G. Codage optimal et encodage: nouveaux regards sur un ancien problème. In CISEM 2024, 4ème Colloque international statistique et économétrie, Mahdia, Tunisia, 2024. www 
  1. Saporta, G. Optimal Scaling: New Insights Into an Old Problem. In SDS 2024; Statistics and Data Science Conference, pages 97-100, Palermo University Press, Palermo, Italy, 2024. www 
  1. Ndao, M-L.; Youness, G.; Niang, N. and Saporta, G. Enhancing Explainability in Predictive Maintenance : Investigating the Impact of Data Preprocessing Techniques on XAI Effectiveness. In Florida Online Journals. Proceedings of FLAIRS, Florida, United States, Special Track: Explainable, Fair, and Trustworthy AI 37, 2024. doi  www 
  1. Ndao, L. M.; Youness, G.; Niang, N. and Saporta, G. Effet de la complexité du réseau LSTM sur léxplicabilité en Maintenance Prédictive. In JdS 2024: 55ièmes Journées de Statistique, Bordeaux, France, 2024. www 

Divers

  1. Brito, P.; Cerioli, A.; Garc'ia-Escudero, L. A. and Saporta, G. Editorial. Special issue on ``New methodologies in clustering and classification for complex and/or big data''. doi  www 

2023

Articles de revue

  1. Liu, R.; Niang, N.; Saporta, G. and Wang, H. Sparse correspondence analysis for large contingency tables. In Advances in Data Analysis and Classification, 17 (4): 1037-1056, 2023. doi  www 
  1. Saporta, G. 'Equité, explicabilité, paradoxes et biais. In Statistique et Société, 10 (3), 2023. www 

Chapitres d'ouvrage

  1. Saporta, G. and Stoltz, G. Gilbert Saporta : un parcours éclectique. In Les nombres, acteurs de changement, pages 85-104, Presses des Mines, Sciences Sociales , 2023. www 
  1. Saporta, G. Préface. In Voyage au bout de l'IA: Ce qu'il faut savoir sur l'intelligence artificielle, pages 5-8, De Boeck Supérieur, 2023. www 
  1. Saporta, G. Histoire et enjeux de l'IA. In L'IA éducative. L'intelligence artificielle dans lénseignement supérieur, pages 41-50, Bréal, Thèmes & Débats , 2023. www 

Articles de conférence

  1. Liu, R.; Niang, N. and Saporta, G. Sparse non-symmetrical correspondence analysis. In CARME - Correspondence Analysis and Related Methods, Bonn, Germany, 2023. www 
  1. Niang, N.; Ouattara, M. and Saporta, G. A comparison of some methods for clustering of variables of mixed types. In XXX Meeting of the Portuguese Association for Classification and Data Analysis (JOCLAD 2023), pages 85-86, Viana Do Castelo, Portugal, 2023. www 
  1. Béra, M.; Daskalaki, V.; Saporta, G.; Spiliopoulos, K.; Spinakis, K. and Stavropoulos, P. Quantifying the contribution of individual records to the reidentification risk of (pseudo) anonymized datasets. In 64th ISI World Statistics Congress, Ottawa (Ontario), Canada, 2023. www 
  1. Saporta, G. Optimal Scaling: New Insights Into an Old Problem. In ASMDA 2023, 20th Applied Stochastic Models and Data Analysis Conference, Heraklion - Crete, Greece, 2023. www 
  1. Ndao, M-L.; Niang, N.; Youness, G. and Saporta, G. Consensus de partitions en NLP pour une revue systématique de la littérature autour de l'XAI du biais et de l'équité. In Rencontres de la Société Francophone de Classification, pages 43-48, Strasbourg, France, 2023. www 
  1. Ndao, M-L.; Youness, G.; Niang, N. and Saporta, G. Une revue systématique de la littérature autour du biais, de l'équité et de léxplicabilité. In CNIA 2023 - Conférence Nationale en Intelligence Artificielle, pages 87-98, Strasbourg, France, 2023. www 
  1. Niang, N.; Ouattara, M. and Saporta, G. Une comparaison de quelques méthodes de classification de variables mixtes. In SFC'2023; Rencontres de la Société Francophone de Classification, pages 115-116, Strasbourg, France, 2023. www 

2022

Articles de revue

  1. Escoufier, Y. and Saporta, G. Une conversation avec Yves Escoufier. In Statistique et Société, 10 (2): 81-94, 2022. www 
  1. Daouda, O. S.; Chevance, A.; Temime, L.; Légeron, P.; Gaillard, R.; Saporta, G. and Hocine, M. A new ranking index to identify the work-related psychosocial factors most impacting mental health: a cross-sectional study. In BMJ Open, 12 (12): e046444, 2022. doi  www 

Livres

  1. Aimetti, J-P.; Coppet, O. and Saporta, G. Manifeste pour une intelligence artificielle comprise et responsable. Cent Mille Milliards, 2022. www 
  1. Gégout-Petit, A.; Maumy-Bertrand, M.; Saporta, G. and Thomas-Agnan, C. Données manquantes. Editions Technip, 2022. www 

Chapitres d'ouvrage

  1. Saporta, G. Algorithmes de recommandation. In Données manquantes, pages 247-252, Editions Technip, 2022. www 
  1. Gégout-Petit, A.; Maumy-Bertrand, M.; Saporta, G. and Thomas-Agnan, C. Une histoire lacunaire. In Données manquantes, pages 1-27, Editions Technip, 2022. www 

Articles de conférence

  1. Saporta, G. On some issues related to the fairness of algorithms. In Compstat 2022, 24th International Conference on Computational Statistics, Bologna, Italy, 2022. www 
  1. Saporta, G. Codage optimal : nouveaux regards sur un ancien problème. In 27èmes rencontres de la Société Francophone de Classification (SFC) 2022, Lyon, France, 2022. www 
  1. Saporta, G. Equité et explicabilité des algorithmes :~ définitions, paradoxes et biais. In CISEM 2022, 3eme Colloque international statistique et économétrie, Mahdia, Tunisia, 2022. www 
  1. Huang, T. and Saporta, G. Some spatial regression models for functional and compositional data. In Conference in honor of Christine Thomas-Agnan, Toulouse, France, 2022. www 

2021

Articles de revue

  1. Huang, T.; Saporta, G.; Wang, H. and Wang, S. A robust spatial autoregressive scalar-on-function regression with t-distribution. In Advances in Data Analysis and Classification, 15 (1): 57-81, 2021. doi  www 

Livres

  1. Bertrand, F.; Saporta, G. and Thomas-Agnan, C. Statistique et causalité. Editions Technip, 2021. www 

Chapitres d'ouvrage

  1. Huang, T.; Saporta, G. and Wang, H. A Spatial Durbin Model for Compositional Data. In Advances in Contemporary Statistics and Econometrics, pages 471-488, Springer Nature, 2021. doi  www 

Articles de conférence

  1. Saporta, G. From the triumph of black boxes to the right to understand and the search for fairness. In ASMDA 2021, Athens, Greece, 2021. www 
  1. Saporta, G. Interprétabilité des modèles prédictifs. In ASI 11. 11ème Colloque International sur l'Analyse Statistique Implicative, Belfort, France, 2021. www 
  1. Saporta, G. Sparse Correspondence Analysis for Contingency Tables. In Celebrating 40 years of Greek Statistical Institute 1981-2021, Athènes, Greece, 2021. www 
  1. Niang-Keita, N.; Ouattara, M. and Saporta, G. Sparse Divisive Feature Clustering. In XXVIII Meeting of the Portuguese Association for Classification and Data Analysis (JOCLAD 2021), pages 75-76, Covilh~a, Portugal, Program and Book of Abstracts , 2021. www 

2020

Articles de revue

  1. Chevance, A. M; Daouda, O. S; Salvador, A.; Légeron, P.; Morvan, Y.; Saporta, G.; Hocine, M. N and Gaillard, R. Work-related psychosocial risk factors and psychiatric disorders: A cross-sectional study in the French working population. In PLoS ONE, 15 (5): e0233472, 2020. doi  www 
  1. Russolillo, G. and Saporta, G. Using partial least squares regression for conjoint analysis. In Statistica Applicata - Italian Journal of Applied Statistics, 32: 67-84, 2020. doi  www 
  1. Wang, Z.; Wang, H.; Wang, S.; Lu, S. and Saporta, G. Linear mixed-effects model for longitudinal complex data with diversified characteristics. In Journal of Management Science and Engineering, 5 (2): 105-124, 2020. doi  www 
  1. Wang, H.; Liu, R.; Wang, S.; Wang, Z. and Saporta, G. Ultra-high dimensional variable screening via Gram--Schmidt orthogonalization. In Computational Statistics, 35: 1153-1170, 2020. doi  www 
  1. Zaffora, B.; Demeyer, S.; Magistris, M.; Ronchetti, E.; Saporta, G. and Theis, C. A Bayesian framework to update scaling factors for radioactive waste characterization. In Applied Radiation and Isotopes: 109092, 2020. doi  www 

Livres

  1. Diday, E.; Guan, R.; Saporta, G. and Wang, H. Advances in Data Science. Symbolic, Complex and Network Data. ISTE-WILEY, Big Data, Artificial Intelligence and Data Analysis , 2020. www 

Articles de conférence

  1. Guillemot, V.; Le Borgne, J.; Gloaguen, A.; Tenenhaus, A.; Saporta, G.; Chollet, S.; Beaton, D. and Abdi, H. Sparse Multiple Correspondence Analysis. In 52èmes Journées de Statistique, pages 830-835, Nice, France, 52èmes Journées de Statistiques de la Société Franc caise de Statistique (SFdS) , 2020. www 
  1. Saporta, G. About Interpreting and Explaining Machine Learning and Statistical Models. In SMTDA 2020; 6th Stochastic Modeling Techniques and Data Analysis International Conference, Barcelone (virtual), Spain, 2020. www 

Divers

  1. Saporta, G. and Stoltz, G. Gilbert Saporta : un parcours éclectique, Statistique et Société, volume 8, ntextdegree1. , vol. 8, ntextdegree 1. www 

Non publié

  1. Beaton, D.; Saporta, G. and Abdi, H. A generalization of partial least squares regression and correspondence analysis for categorical and mixed data: An application with the ADNI data. , working paper or preprint. doi  www 
  1. Liu, R.; Niang, N.; Saporta, G. and Wang, H. Sparse Correspondence Analysis for Contingency Tables. , working paper or preprint. www 
  1. Huang, T.; Saporta, G.; Wang, H. and Wang, S. Spatial Functional Linear Model and its Estimation Method. , working paper or preprint. www 

2019

Articles de revue

  1. Wang, H.; Gu, J.; Wang, S. and Saporta, G. Spatial partial least squares autoregression: Algorithm and applications. In Chemometrics and Intelligent Laboratory Systems, 184: 123-131, 2019. doi  www 
  1. Huang, T.; Wang, H. and Saporta, G. 成分数据的空间自回归模型. In Journal of Beijing University of Aeronautics and Astronautics, 45 (1): 93-98, 2019. doi  www 
  1. Bougeard, S.; Chauvin, C.; Saporta, G. and Niang, N. Régression multibloc sur classes latentes. Application `a l'usage d'antibiotiques en élevages de lapins. In Epidémiologie et Santé Animale, 76: 43-53, 2019. www 

Chapitres d'ouvrage

  1. Saporta, G. 50 Years of Data Analysis: From Exploratory Data Analysis to Predictive Modeling and Machine Learning. In Data Analysis and Applications 1. Clustering and Regression, Modeling-estimating, Forecasting and Data Mining, ISTE-Wiley, Data Analysis and Applications , 2019. doi  www 

Articles de conférence

  1. Saporta, G.; Liu, R.; Niang Keita, N. and Wang, H. Sparse Methods for Unsupervised Data Analysis. In The 4th International Symposium on Interval Data Modelling (SIDM 2019), Pékin, China, 2019. www 
  1. Saporta, G.; Liu, R.; Niang Keita, N. and Wang, H. Sparse Correspondence Analysis. In ASMDA 2019. 18th Conference of the Applied Stochastic Models and Data Analysis International Society, Florence, Italy, 2019. www 
  1. Daouda, O.; Chevance, A.; Salvador, A.; Légeron, P.; Morvan, Y.; Saporta, G.; Hocine, M. and Gaillard, R. Impact of work-related psychosocial factors on mental health: A cross-sectional study in the French working population. In Work, Stress and Health 2019 Conference of the American Psychological Association, Philadelphia, United States, 2019. www 
  1. Saporta, G. Science des données, données massives : défis et nouveaux métiers. In CISEM 2019, Mahdia, Tunisia, 2019. www 
  1. Saporta, G. De l'analyse exploratoire `a la modélisation prédictive: le chemin de la science des données. In Montpellier: berceau de la Data Science. Colloque en l'honneur du Pr. Yves Escoufier, Montpellier, France, 2019. www 

Divers

  1. Daouda, O. S.; Chevance, A.; Saporta, G.; Gaillard, R. and Hocine, M. Impact des facteurs de risque psychosociaux liés au travail sur la santé mentale : étude transversale sur la population active franc caise. , Poster. www 
  1. Daouda, O. S.; Temime, L.; Saporta, G. and Hocine, M. How to prioritize work-related psychosocial factors impacting mental health? Regression and random forest approaches. , Poster. www 

2018

Articles de revue

  1. Bougeard, S.; Cariou, V.; Saporta, G. and Niang, N. Prediction for regularized clusterwise multiblock regression. In Applied Stochastic Models in Business and Industry, 34 (6): 852-867, 2018. doi  www 
  1. Wei, Y.; Wang, H.; Wang, S. and Saporta, G. Incremental modelling for compositional data streams. In Communications in Statistics - Simulation and Computation, 48 (8): 2229-2243, 2018. doi  www 
  1. Bougeard, S.; Abdi, H.; Saporta, G. and Niang, N. Clusterwise analysis for multiblock component methods. In Advances in Data Analysis and Classification, 12 (2): 285-313, 2018. doi  www 
  1. Saporta, G. Training data scientists: a few challenges. In International Journal of Data Science and Analytics, 6 (3): 201-204, 2018. doi  www 

Livres

  1. Maumy-Bertrand, M.; Saporta, G. and Thomas-Agnan, C. Apprentissage statistique et données massives. Editions Technip, 2018. www 

Chapitres d'ouvrage

  1. Saporta, G. From Conventional Data Analysis Methods to Big Data Analytics. In Big Data for Insurance Companies, pages 27-41, John Wiley & Sons, Inc., 2018. doi  www 
  1. Saporta, G. Une brève histoire de l'apprentissage. In Apprentissage statistique et données massives, Editions Technip, 2018. www 

Articles de conférence

  1. Saporta, G. Clusterwise Methods: a Synthesis and New Developments. In Homenagem a Fernando da Costa Nicolau, pages 23-26, Lisbonne, Portugal, Homenagem a Fernando da Costa Nicolau , 2018. www 
  1. Huang, T.; Saporta, G.; Wang, H. and Wang, S. SFLM: A mix of a Functional Linear Model and of a Spatial Autoregressive Model for spatially correlated functional data. In CroNoS Workshop on Functional Data Analysis, Iasi, Romania, 2018. www 
  1. Niang, N.; Bougeard, S. and Saporta, G. Clusterwise multiblock PLS. In SFC 2018, Paris, France, 2018. www 

Divers

  1. Saporta, G. Une brève histoire de l'intelligence artificielle. www 

2017

Articles de revue

  1. Zaffora, B.; Magistris, M.; Saporta, G. and Chevalier, J-P. Uncertainty quantification applied to the radiological characterization of radioactive waste. In Applied Radiation and Isotopes, 127: 142-149, 2017. doi  www 
  1. Saporta, G. Quelle statistique pour les Big Data?. In Statistique et Société, 5 (1), 2017. www 
  1. Liberati, C.; Camillo, F. and Saporta, G. Advances in credit scoring: combining performance and interpretation in kernel discriminant analysis. In Advances in Data Analysis and Classification, 11 (1): 121-138, 2017. doi  www 
  1. Geronimi, J. and Saporta, G. Variable selection for multiply-imputed data with penalized generalized estimating equations. In Computational Statistics and Data Analysis, 110: 103-114, 2017. doi  www 
  1. Zaffora, B.; Magistris, M.; Chevalier, J-P.; Saporta, G.; Luccioni, C. and Ulrici, L. A new approach to characterize very-low-level radioactive waste produced at hadron accelerators. In Appl.Radiat.Isot., 122: 141-147, 2017. doi  www 

Livres

  1. Bertrand, F.; Droesbeke, J-J.; Saporta, G. and Thomas-Agnan, C. Model Choice and Model Aggregation. Editions Technip, 2017. www 

Chapitres d'ouvrage

  1. Saporta, G. Des méthodes classiques d'analyse des données au Big Data. In Le big data pour les compagnies d'assurance, pages 41-55, ISTE, Innovation, Entrepreneuriat et Gestion Série Big Data, IA et analyse de données, 2017. www 

Articles de conférence

  1. Saporta, G. Clusterwise methods, past and present. In ISI 2017 61st World Statistics Congress, Marrakech, Morocco, 2017. www 
  1. Hocine, M.; Bouziad, K. A.; Légeron, P.; Dab, W. and Saporta, G. Identification et hiérarchisation des facteurs psychosociaux liés au stress au travail. In 49èmes journées de statistique, Avignon, France, 2017. www 
  1. Saporta, G. Expliquer ou prédire? Les nouveaux défis. In Chimiometrie 2017, Paris, France, 2017. www 
  1. Bougeard, S.; Niang-Keita, N.; Preda, C. and Saporta, G. Clusterwise Sparse PLS. In PLS'17, Macao, Macau SAR China, 2017. www 
  1. Hocine, M.; Feropontova, N.; Niang, N.; Ait Bouziad, K. and Saporta, G. Importance of factors contributing to work-related stress: comparison of four metrics. In ASMDA 2017, London, United Kingdom, 2017. www 

2016

Articles de revue

  1. Husson, F. c.; Josse, J. and Saporta, G. Jan de Leeuw and the French School of Data Analysis. In Journal of Statistical Software, 73 (6): 16 p., 2016. doi  www 
  1. Hocine, M.; Bouziad, K. A.; Légeron, P.; Dab, W. and Saporta, G. How to Identify and Prioritize Psychosocial Factors Impacting Stress Level. In PLoS ONE, 11 (6): e0157078, 2016. doi  www 
  1. Gomes, C.; Nocairi, H.; Thomas, M. and Saporta, G. Improving stacking methodology for combining classifiers: applications to cosmetic industry. In Electronic Journal of Applied Statistical Analysis, 09 (2): 340-361, 2016. doi  www 
  1. Niang Keita, N.; Saporta, G.; Crucianu, M. and Rigaux, P. Le certificat `` Analyste de données massives '' du Conservatoire national des arts et métiers. In Statistique et Enseignement, 2016. www 
  1. Zaffora, B.; Magistris, M.; Saporta, G. and La Torre, F. P. Statistical sampling applied to the radiological characterization of historical waste. In EPJ N - Nuclear Sciences & Technologies, 2016. doi  www 

Articles de conférence

  1. Saporta, G. Predictive versus Generative Modelling: a Challenge for (Social) Sciences. In Data Science & Social Research Conference, Naples, Italy, 2016. www 
  1. Geronimi, J. and Saporta, G. Intégrer les données manquantes dans la sélection de variables pour données longitudinales. In 48 èmes Journées de Statistique, Montpellier, France, 2016. www 
  1. Bougeard, S.; Niang, N. and Saporta, G. Regularized clusterwise multiblock regression. In Compstat 2016, Oviedo, Spain, 2016. www 
  1. Saporta, G.; Bernard, A.; Bougeard, S.; Niang, N. and Preda, C. Some Sparse Methods for High Dimensional Data. In H2DM International Workshop on High Dimensional Data Mining, Naples, Italy, 2016. www 
  1. Geronimi, J. and Saporta, G. Variable selection for longitudinal biomarkers constrained by a detection limit. In Compstat 2016, Oviedo, Spain, 2016. www 
  1. Zaffora, B.; Magistris, M. and Saporta, G. A New Approach to Estimate Uncertainty in Waste Characterization. In Advances in Nuclear Nonproliferation Technology and Policy Conference, Santa Fe, United States, 2016. www 
  1. Saporta, G. Training Data Scientists: A Few Challenges. In European Data Science Conference, Luxembourg, Luxembourg, 2016. www 
  1. Niang, N.; Bougeard, S. and Saporta, G. Prédiction en régression clusterwise PLS. In 48 èmes Journées de Statistique, Montpellier, France, 2016. www 
  1. Geronimi, J. and Saporta, G. Variable selection for multiply imputed data with penalized generalized estimating equations. In XXVIIIth International Biometric Conference, Victoria, Canada, 2016. www 

Divers

  1. Saporta, G. Préface. www 
  1. Zaffora, B.; Chevalier, J-P.; La Torre, F.; Luccioni, C.; Magistris, M. and Saporta, G. Statistical learning approaches applied to the calculation of scaling factors for radioactive waste characterization. , Poster. doi  www 

Actes de colloque

  1. Abdi, H.; Esposito Vinzi, V.; Saporta, G.; Russolillo, G. and Trinchera, L. The Multiple Facets of Partial Least Squares Methods. Springer, 2016. www 

2015

Articles de revue

  1. Saporta, G. A Conversation with Jean-Louis Bodin. In International Statistical Review, 83 (1): 2-16, 2015. doi  www 

Livres

  1. Droesbeke, J-J.; Saporta, G. and Thomas-Agnan, C. Méthodes robustes en statistique. , 2015. www 

Chapitres d'ouvrage

  1. Saporta, G. Actualité de l'analyse des données. In Alfredo Rizzi, l'uomo e l'opera, pages 43-52, RCE-Multimedia, 2015. www 

Articles de conférence

  1. Niang-Keita, N.; Bougeard, S.; Saporta, G. and Abdi, H. Clusterwise multiblock PLS. In CARME 2015: Correspondence Analysis and Related Methods, Napoli, Italy, 2015. www 
  1. Giordano, G.; Saporta, G. and Vitale, M. P. Exploratory data analysis and contiguity relations: An outlook. In CFE-CMStatistics, London, United Kingdom, 2015. www 
  1. Saporta, G. Which analytic methods for Big Data?. In ARS'15. Fifth International Workshop on Social Network Analysis, Capri, Italy, 2015. www 
  1. Hocine, M.; Bouziad, K. A. and Saporta, G. A methodological tool for work-related stress management: Importance-Performance Analysis used complementary to PLS path modelling. In Applied Stochastic Models and Data Analysis, Le Pirée, Greece, 2015. www 
  1. Abdi, H.; Beaton, D. and Saporta, G. Generalizing Partial Least Squares and Correspondence Analysis to Predict Categorical (and Heterogeneous) Data. In 7th conference on Correspondence Analysis and Related Methods CARME 2015, Napoli, Italy, 2015. www 
  1. Geronimi, J. and Saporta, G. The Effect of Missing Visits on GEE, a Simulation Study. In Applied Stochastic Models and Data Analysis ASMDA 2015, Le Pirée, Greece, 2015. www 
  1. Niang-Keita, N.; Bougeard, S. and Saporta, G. Clusterwise multiblock PLS regression. In CFE-CMStats, London, United Kingdom, 2015. www 
  1. Bacelar-Nicolau, L.; Pereira Miguel, J. and Saporta, G. Screening policies in health impact assessment: easier decision making through cluster analysis. In 8th European Congress of Epidemiology, pages 852, Springer, Maastricht, Netherlands, Healthy Living: The European Congress of Epidemiology, 2015 30, 2015. doi  www 
  1. Pereira Miguel, J.; Bacelar-Nicolau, L. and Saporta, G. Screening Policies for Health Impact Assessment: cluster analysis for easier decision making. In 8th European Public Health Conference, pages 133-134, Milan, Italy, 2015. doi  www 
  1. Saporta, G.; Bougeard, S. and Niang-Keita, N. Les méthodes `` clusterwise '' : principes et applications. In XXII èmes rencontres de la Société Francophone de Classification, Nantes, France, 2015. www 
  1. Saporta, G. Conjoint Analysis: past, present and issues. In Choice and preference analysis for quality improvement and seminar on experimentation, Bari, Italy, 2015. www 
  1. Geronimi, J. and Saporta, G. Léffet de visites manquantes sur léstimateur des GEE, une étude par simulation. In 47èmes journées de statistique, Lille, France, 2015. www 

2014

Articles de revue

  1. Gomes, C.; Nocairi, H.; Thomas, M.; Collin, J-F. c. and Saporta, G. A simple and robust scoring technique for binary classification. In Journal of Artificial Intelligence Research, 3 (1): 52-58, 2014. doi  www 
  1. Hassani, H.; Saporta, G. and Silva, E. S. Data Mining and Official Statistics:The Past, the Present and the Future. In Big Data, 2 (1): 1-9, 2014. doi  www 

Livres

  1. Droesbeke, J-J.; Maumy-Bertrand, M.; Saporta, G. and Thomas-Agnan, C. Approches statistiques du risque. , 2014. www 

Chapitres d'ouvrage

  1. Lebart, L. and Saporta, G. Historical Elements of Correspondence Analysis and Multiple Correspondence Analysis. In Visualization and Verbalization of Data, pages 31-44, Chapman and Hall/CRC, 2014. www 

Articles de conférence

  1. Beaton, D.; Bernard, A.; Abdi, H. and Saporta, G. An integration of partial least squares and sparsified multiple correspondence analysis applied to genetic data. In PLS2014. 8th International Conference on Partial Least Squares and Related Methods, pages 27-28, Paris, France, 2014. www 
  1. Saporta, G. Supervised classification and experimental designs. In Compstat 2014, Genève, Switzerland, 2014. www 
  1. Niang Keita, N. and Saporta, G. Régression typologique pour données multi-blocs. In 46 émes journées de statistique, Rennes, France, 2014. www 
  1. Hocine, M.; Russolillo, G. and Saporta, G. A PLS Path Model for Predicting Impact of Job Characteristics on Work-Related Stress. In PLS2014. 8th International Conference on Partial Least Squares and related Methods, pages 103-104, Paris, France, 2014. www 
  1. Preda, C. and Saporta, G. PLS regression for multivariate functional data. In PLS2014. 8th International Conference on Partial Least Squares and Related Methods, pages 155, Paris, France, 2014. www 
  1. Bernard, A. and Saporta, G. De l'ACP sparse `a l'ACM sparse. In Agrostat 2014, Rabat, Morocco, 2014. www 
  1. Saporta, G. and Hassani, H. Data Mining, Machine Learning and Official Statistics. In Conference of European Statistics Stakeholders, Rome, Italy, 2014. www 

Rapports

  1. Abiteboul, S.; Bancilhon, F. c.; Bourdoncle, F. c.; Clémenc con, S.; de La Higuera, C.; Saporta, G. and Fogelman Soulié, F. c. L'émergence d'une nouvelle filière de formation : `` data scientists ''. Technical Report, INRIA Saclay ; CEDRIC laboratory, CNAM-Paris, France, 2014.

2013

Articles de revue

  1. Niang Keita, N.; Fogliatto, F. and Saporta, G. Non parametric on-line control of batch processes based on STATIS and clustering. In Journal de la Societe Franc caise de Statistique, 154 (3): 124-142, 2013. www 
  1. Macé, J-M.; Ricco, J-B.; Berger, L. and Saporta, G. Methodology for the evaluation of vascular surgery manpower in France. In Public Health Ethics, 127 (1): 65-71, 2013. doi  www 
  1. Séguéla, J. and Saporta, G. A hybrid recommender system to predict online job offer performance. In Revue des Nouvelles Technologies de l'Information, RNTI -E-25: 177-197, 2013. www 

Livres

  1. Droesbeke, J-J.; Saporta, G. and Thomas-Agnan, C. Modèles `a variables latentes et modèles de mélange. Editions Technip, 2013. www 

Chapitres d'ouvrage

  1. Droesbeke, J-J. and Saporta, G. De Poisson `a Lazarsfeld en passant chez Quetelet, Bertillon, Galton et Pearson. In Modèles `a variables latentes et modèles de mélange, pages 1-21, Editions Technip, 2013. www 

Articles de conférence

  1. Gomes, C.; Nocairi, H.; Thomas, M.; Collin, J-F. c. and Saporta, G. A Robust Strategy for Combining Several Classifiers for Small Samples and Heterogeneous Predictors. In Chimiometrie 2013, pages 33-34, Brest, France, 2013. www 
  1. Guizani, A.; Souissi, B.; Benammou, S. and Saporta, G. Reject inference techniques and semi supervised methods implemented in the process for granting credit. In ERCIM 2013, Londres, United Kingdom, 2013. www 
  1. Saporta, G. A survey of some sparse methods for high-dimensional data. In SADA'13, Cotonou, Benin, 2013. www 
  1. Guizani, A.; Souissi, B.; Benammou, S. and Saporta, G. Une comparaison de quatre techniques d'inférence des refusés dans le processus d'octroi de crédit. In 45 émes Journées de statistique, pages pp, Toulouse, France, 2013. www 
  1. Saporta, G. From Sparse Regression to Sparse Multiple Correspondence Analysis. In European Conference on Data Analysis, pages 25, Luxembourg, Luxembourg, 2013. www 
  1. Bernard, A. and Saporta, G. Analyse en composantes principales sparse pour données multiblocs et extension `a l'analyse des correspondances multiples sparse. In 45 émes Journées de statistique, Toulouse, France, 2013. www 

Divers

  1. Lechevallier, Y.; Saporta, G.; Wang, H. and Guan, R. Advances in Theory and Applications of High Dimensional and Symbolic Data Analysis. www 

2012

Articles de revue

  1. Saporta, G. Il faut pouvoir répondre `a l'invasion des données. In Sciences et Avenir (782): 42-45, 2012. www 

Chapitres d'ouvrage

  1. Demeyer, S.; Foulley, J-L.; Fischer, N. and Saporta, G. Bayesian analysis of structural equation models using parameter expansion. In Statistical learning and data science, pages 135-145, Chapman Hall/CRC, 2012. www 

Articles de conférence

  1. Bernard, A.; Tenenhaus, A.; Zagury, J-F. c.; Saporta, G. and Guinot, C. Méthodes multiblocs pour l'identification de gènes associés au vieillissement cutané chez 502 femmes caucasiennes adultes. In EGC 2012, pages 555-556, Bordeaux, France, 2012. www 
  1. Saporta, G. Mining Official Data: What's New?. In 2012 SIAM International Conference on Data Mining, Anaheim, United States, 2012. www 
  1. Bernard, A.; Tenenhaus, A.; Zagury, J-F. c.; Guinot, C. and Saporta, G. Méthodes multiblocs pour l'identification de gènes associés au vieillissement cutané. In JdS'12, Bruxelles, Belgium, 2012. www 
  1. Saporta, G.; Bernard, A. and Guinot, C. A generalisation of sparse PCA to multiple correspondence analysis. In ERCIM 2012, Oviedo, Spain, 2012. www 
  1. Bernard, A.; Guinot, C. and Saporta, G. Sparse principal component analysis for multiblock data and its extension to sparse multiple correspondence analysis. In Compstat 2012, pages 99-106, Curran Associates, Inc., Limassol, Cyprus, 20th International Conference on Computational Statistics (COMPSTAT 2012) , 2012. www 
  1. Saporta, G. Statistique et analyse de données pour l'assureur. In Gender Directive Conference, Paris, France, 2012. www 
  1. Niang Keita, N.; Saporta, G. and Fogliatto, F. Contr^ole non paramétrique de procédés par lots basé sur STATIS et la classification. In Agrostat2012, 12èmes journées Européennes Agro-Industrie et Méthodes Statistiques, pages 163-169, Paris, France, 2012. www 
  1. Gomes, C.; Nocairi, H.; Thomas, M.; Ibanez, F.; Collin, J-F. c. and Saporta, G. Stacking prediction for a binary outcome. In Compstat 2012, pages 271-282, Limassol, Cyprus, 2012. www 
  1. Liberati, C.; Camillo, F. and Saporta, G. Kernel discrimination and explicative features: an operative approach. In Compstat 2012, pages 507-518, Limassol, Cyprus, 2012. www 

Divers

  1. Bernard, A.; Tenenhaus, A.; Zagury, J-F. c.; Saporta, G. and Guinot, C. Méthodes multiblocs pour l'identification de gènes associés au vieillissement cutané chez 502 femmes caucasiennes adultes. , Poster. www 

2011

Articles de revue

  1. Wang, H.; Chen, M. and Saporta, G. Variable selection in discriminant analysis based on Gram-Schmidt process. In Journal of Beijing University of Aeronautics and Astronautics, 37 (8): 958-961, 2011. www 

Livres

  1. Saporta, G. Probabilités, analyse des données et statistique. , 2011. www 
  1. Droesbeke, J-J. and Saporta, G. Approches non-paramétriques en régression. Editions Technip, 2011. www 

Articles de conférence

  1. Demeyer, S.; Foulley, J-L.; Fischer, N. and Saporta, G. Approche bayesienne des modèles `a équations structurelles utilisant léxpansion paramétrique. In 43. Journées de Statistique, Tunis, Tunisia, 2011. www 
  1. Séguéla, J. and Saporta, G. A Semi-Supervised Hybrid System to Enhance the Recommendation of Channels in terms of Campaign ROI. In CIKM'11, 20th ACM Conference on Information and Knowledge Management, pages 2265-2268, Glasgow, United Kingdom, 2011. www 
  1. Séguéla, J. and Saporta, G. A comparison between latent semantic analysis and correspondence analysis. In CARME 2011 International conference on Correspondence Analysis and Related Methods, pages 20, Rennes, France, 2011. www 
  1. Séguéla, J. and Saporta, G. A semi-supervised recommender system to predict online job offer performance. In Theory and Application of High-dimensional Complex and Symbolic Data Analysis in Economics and Management Science, Beijing, China, 2011. www 
  1. Guizani, A.; Benammou, S. and Saporta, G. Une méthode de traitement des refusés dans le processus d'octroi de crédit. In 43émes Journées de Statistique, Tunis, Tunisia, 2011. www 

2010

Articles de revue

  1. Preda, C.; Saporta, G. and Hadj Mbarek, M. The NIPALS Algorithm for Missing Functional Data. In Revue roumaine de mathématiques pures et appliquées, 55 (4): 315-326, 2010. www 
  1. Aguilera, Ana-M.; Escabias, M.; Preda, C. and Saporta, G. Using basis expansions for estimating functional PLS regression: Applications with chemometric data. In Chemometrics and Intelligent Laboratory Systems, 104 (2): 289-305, 2010. doi  www 
  1. Youness, G. and Saporta, G. Comparing partitions of two sets of units based on the same variables. In Advances in Data Analysis and Classification, 4 (1): 53-64, 2010. doi  www 

Livres

  1. Droesbeke, J-J. and Saporta, G. Analyse statistique des données longitudinales. Editions Technip, 2010. www 

Chapitres d'ouvrage

  1. Stan, V. and Saporta, G. Conjoint Use of Variables Clustering and PLS Structural Equations Modeling. In Handbook of Partial Least Squares,, pages 235-246, Springer Berlin Heidelberg, 2010. doi  www 

Articles de conférence

  1. Saporta, G. Classification supervisée et données fonctionnelles. In SFC'2010, 17èmes rencontres de la Société Francophone de Classification, Saint Denis de la Réunion, France, 2010. www 
  1. Demeyer, S.; Fischer, N. and Saporta, G. Contributions to Bayesian Structural Equation Modeling. In COMPSTAT'2010, 19th International Conference on Computational Statistics, Paris, pages 469-476, Paris, France, 2010. www 
  1. Séguéla, J. and Saporta, G. Modèles de comptage appliqués aux décisions de candidature aux offres démploi sur le web. In 42èmes Journées de Statistique, Marseille, France, France, 2010. www 
  1. Charrad, M.; Lechevallier, Y.; Ben Ahmed, M. and Saporta, G. WCUM pour l'analyse d'un site web. In 10e conférence internationale sur l'Extraction et la Gestion des Connaissances EGC'2010, pages 45-52, Hammamet, Tunisia, 2010. www 
  1. Séguéla, J.; Saporta, G. and Le Viet, S. e-Recrutement : recherche de mots-clés pertinents dans le titre des annonces démploi. In JADT'2010, 10th International Conference on Statistical Analysis of Textual Data, Rome, Italy, 2010. www 
  1. Charrad, M.; Lechevallier, Y.; Ben Ahmed, M. and Saporta, G. On the Number of Clusters in Block Clustering Algorithms. In 23rd International FLAIRS Conference, pages 392-397, Florida, United States, Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference (FLAIRS 2010) , 2010. www 
  1. Demeyer, S.; Fischer, N. and Saporta, G. Approche bayésienne des modèles `a équations structurelles. In 42èmes Journées de Statistique, Marseille, France, 2010. www 
  1. Benammou, S.; Souissi, B. and Saporta, G. On the use of Weighted Regression in Conjoint Analysis. In COMPSTAT'2010, 19th International Conference on Computational Statistics, pages 777-784, Paris, France, 2010. www 
  1. Charrad, M.; Lechevallier, Y.; Saporta, G. and Ben Ahmed, M. Détermination du nombre de classes dans les méthodes de bipartitionnement. In 17émes Rencontres de la Société Francophone de Classification, pages 119-122, Saint-Denis de la Réunion, France, 2010. www 
  1. Preda, C.; Saporta, G. and Hadj Mbarek, M. Anticipated and Adaptive Prediction in Functional Discriminant Analysis. In COMPSTAT'2010, 19th International Conference on Computational Statistics, pages 189-198, Paris, France, 2010. www 
  1. de A. T. de Carvalho, F.; Saporta, G. and N. Queiroz, D. A Clusterwise Center and Range Regression Model for Interval-Valued Data. In COMPSTAT'2010, 19th International Conference on Computational Statistics, pages 461-468, Paris, France, 2010. www 

Divers

  1. Séguéla, J. and Saporta, G. Automatic Categorization of Job Postings. , Poster. www 

Actes de colloque

  1. Lechevallier, Y. and Saporta, G. Proceedings of COMPSTAT'2010. Physica Verlag, Paris, France, 2010. www 

Non publié

  1. Ohannessian, S. and Saporta, G. 'Zero' Option in Conjoint Analysis:. , working paper or preprint. doi  www 

2009

Articles de revue

  1. Wang, H.; Ye, M. and Saporta, G. 多元线性回归模型的聚类分析方法研究. In Xitong Fangzhen Xuebao/Acta Simulata Systematica Sinica, 21: 7048-7056, 2009. www 

Chapitres d'ouvrage

  1. Saporta, G. and Niang Keita, N. Principal Component Analysis: application to Statistical Process Control. In Data Analysis, pages 1-23, ISTE, 2009. doi  www 

Articles de conférence

  1. Niang, N.; Fogliatto, F. and Saporta, G. Contr^ole multivarié de procédés par lots `a l'aide de Statis. In 41èmes Journées de Statistique, SFdS, Bordeaux, Bordeaux, France, France, 2009. www 
  1. Charrad, M.; Ben Ahmed, M.; Lechevallier, Y. and Saporta, G. Determining the number of clusters in CROKI2 algorithm. In MSDM'09 - Meeting on Statistics and Data Mining, pages 143-148, Hammamet, Tunisia, 2009. www 
  1. Preda, C.; Saporta, G. and Hadj Mbarek, B. PLS Regression with Functional Predictor and Missing Data. In PLS'09,6th Int. Conf. on Partial Least Squares and Related Methods, pages 17-22, Pékin, China, 2009. www 
  1. Saporta, G. Models for Understanding versus Models for Prediction. In MSDM'09, Hammamet, Tunisia, 2009. www 
  1. Youness, G. and Saporta, G. Comparing partitions of different units based on same questionnaire. In Symposium on Mathematical Sciences, Beyrouth, Lebanon, 2009. www 
  1. Wang, S.; Wang, J.; Wang, H. and Saporta, G. An Approach for PLS Regression Modeling of Functional Data. In 6th International Conference on Partial Least Squares and Related Methods (PLS'09), pages 28-33, Electronic Industry Press, Pékin, China, Proceedings of the 6th International Conference on Partial Least Squares and Related Methods (PLS'09) , 2009. www 
  1. Demeyer, S.; Fischer, N. and Saporta, G. Un modèle `a variables latentes pour le traitement de données hybrides issues de comparaison interlaboratoires. In 41èmes Journées de Statistique, SFdS, Bordeaux, Bordeaux, France, 2009. www 
  1. Charrad, M.; Lechevallier, Y.; Ben Ahmed, M. and Saporta, G. Block clustering for web pages categorization. In IDEAL 2009: Intelligent Data Engineering and Automated Learning, pages 260-267, Springer, Burgos, Spain, Lecture Notes in Computer Science 5788, 2009. doi  www 
  1. Niang Keita, N.; Fogliatto, F. and Saporta, G. Batch Process Monitoring by Three-way Data Analysis Approach. In ASMDA'09 XIII International Conference on Applied Stochastic Models and Data Analysis, pages 294-298, Vilnius, Lithuania, 2009. www 
  1. Saporta, G. Supervised and Unsupervised Linear Methods for Functional Data Analysis. In ASMDA'09, pages xx, Vilnius, Lithuania, 2009. www 

Divers

  1. Charrad, M.; Lechevallier, Y.; Saporta, G. and Ben Ahmed, M. Détermination du nombre des classes dans l'algorithmeCROKI2 de classification croisée. , Poster. www 

2008

Articles de revue

  1. Zaugg, S.; Saporta, G.; van Loon, E.; Schmaljohann, H. and Liechti, F. Automatic identification of bird targets with radar via patterns produced by wing flapping. In Journal of the Royal Society Interface, 5 (26): 1041-1053, 2008. doi  www 
  1. Vichi, M. and Saporta, G. Clustering and Disjoint Principal Component Analysis. In Computational Statistics and Data Analysis, 53 (8): 3194-3208, 2008. doi  www 
  1. Wang, H.; Chen, M. and Saporta, G. Gram-Schmidt regression and application in cutting tool abrasion prediction. In Journal of Beijing University of Aeronautics and Astronautics, 34 (6): 729-733, 2008. www 
  1. Charrad, M.; Lechevallier, Y.; Saporta, G. and Ben Ahmed, M. Web Content Data Mining : la classification croisée pour l'analyse textuelle d'un site Web. In Revue des Nouvelles Technologies de l'Information, RNTI-E11: 43-54, 2008. www 

Articles de conférence

  1. Lorga da Silva, A.; Saporta, G. and Bacelar-Nicolau, H. Multiple Imputation and Multidimensional Scaling Applied to a k-means Method. In COMPSTAT'08, Porto, Portugal, 2008. www 
  1. Saporta, G. and Preda, C. Adaptive Forecasting on Functional Data. In SIS'08, Arcavata di Rende, Italy, 2008. www 
  1. Charrad, M.; Saporta, G.; Lechevallier, Y. and Ben Ahmed, M. Le bi-partitionnement : Etat de l'art sur les approches et les algorithmes. In Ecol'IA'08, Hammamet, Tunisia, 2008. www 
  1. Saporta, G. Models for Understanding versus Models for Prediction. In Compstat 2008, pages 315-322, Physica-Verlag HD, Porto, Portugal, 2008. doi  www 
  1. Ohannessian, S. and Saporta, G. Zero option in conjoint analysis, A new specification of the indecision and the refusal. Application to the Video on Demand market. In SIS'08, Cosenza, Italy, 2008. www 

Divers

  1. Saporta, G. Foreword. , Foreword of a book which is the result of the work of a pan-European project team led by Edwin Diday following 3 years work sponsored by EUROSTAT. It includes a full explanation of the new SODAS software developed as a result of this project. www 
  1. Bertrand, P. and Saporta, G. Some Recent Trends in Applied Stochastic Modeling and Multidimensional Data Analysis. , Editorial. doi  www 

2007

Articles de revue

  1. Benammou, S.; Saporta, G. and Souissi, B. Une procédure de réduction du nombre de paires en analyse conjointe. In Journal de la Societe Franc caise de Statistique, 148: 57-76, 2007. www 
  1. Tenenhaus, A.; Giron, A.; Viennet, E.; Béra, M.; Saporta, G. and Fertil, B. Kernel logistic PLS: a tool for supervised nonlinear dimensionality reduction and binary classification. In Computational Statistics and Data Analysis, 51 (9): 4083-4100, 2007. doi  www 
  1. Plasse, M.; Niang Keita, N.; Saporta, G.; Villeminot, A. and Leblond, L. Combined use of association rules mining and clustering methods to find relevant links between binary rare attributes in a large data set. In Computational Statistics and Data Analysis, 52 (1): 596-613, 2007. doi  www 
  1. Preda, C.; Saporta, G. and Leveder, C. PLS classification of functional data. In Computational Statistics, 22: 223-235, 2007. doi  www 

Chapitres d'ouvrage

  1. Preda, C. and Saporta, G. PCR and PLS for Clusterwise Regression on Functional Data. In Selected Contributions in Data Analysis and Classification, pages 589-598, Springer, 2007. www 

Articles de conférence

  1. Niang Keita, N. and Saporta, G. Resampling ROC curves. In IASC'07 International Association for Statistical Computing,, pages xx, Aveiro, Portugal, 2007. www 
  1. Saporta, G. Model Selection and Predictive Inference. In Trends and Challenges in Applied Mathematics, pages 92-97, Matrix Rom, Bucarest, Romania, Trends and Challenges in Applied Mathematics , 2007. www 
  1. Saporta, G. Discriminant analysis on functional data. In XV Congresso Annual da Sociedade Portuguesa de Estadistica, Lisbonne, Portugal, 2007. www 
  1. Saporta, G. Lénseignement `a distance en statistique : technologie et pédagogie. In 39èmes Journées de Statistique, pages xx, Angers, France, 2007. www 
  1. Saporta, G.; Costanzo, D. and Preda, C. Linear methods for regression and classification with functional data. In IASC-ARS'07 special Conf., pages xx, Séoul, South Korea, 2007. www 
  1. Wang, J.; Wang, H. and Saporta, G. Discussion on Importance of Variable Selection in PLS1 Modeling. In PLS'07 5th Int. Symp. on PLS and related methods, Oslo, Oslo, Norway, 2007. www 
  1. Giordano, G. and Saporta, G. The Response Surface as Explorative Tool in Multiple Correspondence Analysis. In CARME'07, Correspondence Analysis and Related Methods, Rotterdam, Netherlands, 2007. www 
  1. Jakobowicz, E. and Saporta, G. A nonlinear PLS path modeling based on monotonic B-spline transformations. In 5th International symposium on PLS and related methods (PLS'07), pages 112-115, Matforsk, Norway, Proceedings of the 5th International symposium on PLS and related methods (PLS'07) , 2007. www 

2006

Livres

  1. Saporta, G. Probabilités, Analyse des données et statistique. , 2006. www 
  1. Droesbeke, J-J.; Lejeune, M. and Saporta, G. Analyse statistique des données spatiales. Editions Technip, 2006. www 

Chapitres d'ouvrage

  1. Saporta, G. Epidémiologie et Data Mining ou fouille de données. In L'épidémiologie humaine,, pages 129-136, EDP-Sciences, 2006. www 
  1. Saporta, G. and Niang Keita, N. Correspondence analysis and classification. In Multiple Correspondence Analysis and Related Methods, pages 371-392, Chapman and Hall/CRC, 2006. www 

Articles de conférence

  1. Plasse, M.; Niang Keita, N.; Saporta, G.; Villeminot, A. and Leblond, L. Méthodes de classification pour léxtraction de règles. In SFC'06. Rencontres de la Société Francophone de Classification, pages 4, Metz, France, 2006. www 
  1. Stan, V. and Saporta, G. Une comparaison expérimentale entre les approches PLS et LISREL. In 38èmes Journées de Statistique, Clamart, France, 2006. www 
  1. Saporta, G. Statistical Methods and Credit Scoring. In JOCLAD'06, Lisbonne, Portugal, 2006. www 
  1. Plasse, M.; Niang Keita, N.; Saporta, G. and Leblond, L. Une comparaison de certains indices de pertinence des règles d'association. In EGC 06 Extraction et Gestion des Connaissances, pages 561-568, Lille, France, Actes des sixièmes journées Extraction et Gestion des Connaissances, RNTI 06, 2006. www 
  1. Plasse, M.; Niang Keita, N. and Saporta, G. Classification préalable `a la recherche de règles d'association. In RIAS'06 Rencontres Inter-Associations sur le thème de la classification, pages 1, Lyon, France, 2006. www 
  1. Saporta, G. and Niang, N. Model assessment. In KNEMO'06 Knowledge Extraction and Modeling, Capri, Italy, 2006. www 
  1. Lorga da Silva, A.; Saporta, G. and Bacelar-Nicolau, H. Dealing with missing data in a k-means method - A simulation based approach. In COMPSTAT 2006, pages 182, X, Italy, 2006. www 
  1. Saporta, G. Credit scoring, statistique et apprentissage. In EGC'06, Lille, France, Extraction et Gestion des Connaissances 2006 RNTI E6, 2006. www 
  1. Costanzo, D.; Preda, C. and Saporta, G. Anticipated prediction in discriminant analysis on functional data for binary response. In COMPSTAT'06, 17th Symposium on Computational Statistics, pages 821-828, Rome, Italy, 2006. www 

2005

Articles de revue

  1. Preda, C. and Saporta, G. PLS regression on a stochastic process. In Computational Statistics and Data Analysis, 48: 149-158, 2005. doi  www 
  1. Preda, C. and Saporta, G. Clusterwise PLS regression on a stochastic process. In Computational Statistics and Data Analysis, 49: 99-108, 2005. doi  www 
  1. Saporta, G. and Béra, M. Editorial. In Applied Stochastic Models in Business and Industry, 21 (2): 95-96, 2005. doi  www 

Livres

  1. Droesbeke, J-J.; Lejeune, M. and Saporta, G. Modèles statistiques pour données qualitatives. Editions Technip, 2005. www 

Chapitres d'ouvrage

  1. Saporta, G. Les classes latentes. In Modèles statistiques pour données qualitatives, pages 71-82, Editions Technip, 2005. www 

Articles de conférence

  1. Plasse, M.; Niang Keita, N. and Saporta, G. Utilisation conjointe des règles d'association et de la classification de variables. In 37 èmes Journées de Statistique, Pau, France, 2005. www 
  1. Stan, V. and Saporta, G. Une étude comparative de logiciels de prévision automatique de séries chronologiques. In 37èmes Journées de Statistique, Pau, France, 2005. www 
  1. Tenenhaus, A.; Giron, A.; Saporta, G. and Fertil, B. Kernel logistic PLS: a new tool for complex classification. In ASMDA'05 XIth Int. Symp. on Applied Stochastic Models and Data Analysis, pages 441-451, Brest, France, 2005. www 
  1. Stan, V. and Saporta, G. Customer satisfaction and PLS structural equation modeling. An application to automobile market. In ASMDA'05 XIth Int. Symp. on Applied Stochastic Models and Data Analysis., pages 756-763, Brest, France, 2005. www 
  1. Stan, V. and Saporta, G. Conjoint use of variables clustering and PLS structural equations modelling. In PLS'05 4th Int. Symp. on PLS and related methods, Barcelona, Spain, 2005. www 
  1. Youness, G. and Saporta, G. New techniques to compare partitions of different units based on same surveys. In 3rd world Conf. on Computational Statistics Data Analysis, Limassol, Cyprus, 2005. www 
  1. Preda, C. and Saporta, G. PLS discriminant analysis for functional data. In ASMDA'05 XIth Int. Symp. on Applied Stochastic Models and Data Analysis, pages 653-661, Brest, France, 2005. www 
  1. Plasse, M.; Niang Keita, N.; Saporta, G. and Gauthier, D. Combined use of association rules mining and clustering methods. In 3rd world Conf. on Computational Statistics Data Analysis, Limassol, Cyprus, 2005. www 
  1. Saporta, G. Some Statistical Aspects of Credit Scoring. In 3rd world Conf. on Computational Statistics Data Analysis, Limassol, Cyprus, 2005. www 
  1. Preda, C.; Saporta, G. and Leveder, C. PLS classification of functional data. In PLS'05 4th Int. Symp. on PLS and related methods, Barcelone, Spain, 2005. www 
  1. Riviére, P.; Saporta, G.; Pagès, J. and Monrozier, R. Kano's satisfaction model applied to External Preference Mapping : a new way to handle non linear relationships between hedonic evaluations and product characteristics. In PLS'05 4th Int. Symp. on PLS and related methods, Barcelona, Spain, 2005. www 

2004

Articles de revue

  1. Youness, G. and Saporta, G. Une Méthodologie pour la Comparaison de Partitions. In Revue de Statistique Appliquée, 52: 97-120, 2004. www 
  1. Youness, G. and Saporta, G. Some Measures of Agreement Between Close Partitions. In Student, 5: 1-12, 2004. www 

Chapitres d'ouvrage

  1. Lorga da Silva, A.; Saporta, G. and Bacelar-Nicolau, H. Missing Data and Imputation Methods in Partition of Variables. In Classification, Clustering, and Data Mining Applications, pages 631-637, Springer, Studies in Classification, Data Analysis , and Knowledge Organisation , 2004. doi  www 
  1. Preda, C. and Saporta, G. PLS Approach for clusterwise linear regression on functional data. In Classification, Clustering, and Data Mining Applications, pages 167-176, Springer, Classification, Clustering and Data Mining Applications , 2004. doi  www 

Articles de conférence

  1. Lorga da Silva, A.; Bacelar-Nicolau, H. and Saporta, G. Coefficiente de affinidade em classificac c~ao com dados omissos. Uma Aplicac c~ao a Dados Reais. In JOCLAD 2004. XI Jornadas de Classificac c~ao e An'alise de Dados, Lisbonne, Portugal, 2004. www 
  1. Saporta, G. and Bourdeau, M. The St@tNet Project for Teaching Statistics. In COMPSTAT 2004. 16th Symposium on Computational Statistics, pages 417-428, Physica Verlag - Springer, Prague, Czech Republic, COMPSTAT 2004 - Proceedings in Computational Statistics , 2004. doi  www 

2003

Articles de revue

  1. Abdallah, H. and Saporta, G. Mesures de distance entre modalités de variables qualitatives; application `a la classification. In Revue de Statistique Appliquée, 51 (2): 75-90, 2003. www 
  1. Karlis, D.; Saporta, G. and Spinakis, A. A Simple Rule for the Selection of Principal Components. In Communications in Statistics - Theory and Methods, 32 (3): 643-666, 2003. doi  www 
  1. Benammou, S.; Harbi, S. and Saporta, G. Sur l'utilisation de l'analyse conjointe en cas de réponses incomplètes ou de non-réponses. In Revue de Statistique Appliquée, 51 (4): 31-55, 2003. www 
  1. Benammou, S. and Saporta, G. On the Connection Between the Distribution of Eigenvalues in Multiple Correspondence Analysis and Log-Linear Models. In REVSTAT - Statistical Journal, 1: 42-79, 2003. www 

Chapitres d'ouvrage

  1. Saporta, G. and Niang, N. Analyse en composantes principales. In Analyse des données, pages 19-42, Hermes, 2003. www 

Articles de conférence

  1. Benammou, S. and Saporta, G. On the connection between the distribution of eigenvalues in multiple correspondence analysis and log-linear analysis. In CARME2003: Correspondence Analysis and Related Methods, Barcelone, Spain, 2003. www 
  1. Saporta, G. A control chart approach to select eigenvalues in principal component and correspondence analysis. In 54th Session of the International Statistical Institute, Berlin, Germany, 2003. www 
  1. Saporta, G. Correspondence Analysis and Classification. In CARME2003: Correspondence Analysis and Related Methods, Barcelone, Spain, 2003. www 
  1. Saporta, G. Discussion on IPM 71: Educational implications of statistical method and modelling developments in psychometry. In 54th Session of the International Statistical Institute, Berlin, Germany, Bulletin of the International Statistical Institute , 2003. www 
  1. Youness, G. and Saporta, G. Sur des indices de comparaison de deux classifications. In SFC'03 10 èmes rencontres de la Société Francophone de Classification, pages 177-180, Neuchatel, Switzerland, 2003. www 
  1. Lorga da Silva, A.; Bacelar-Nicolau, H. and Saporta, G. Efeito de um Método de Imputac c~ao M'ultipla em Classificac c~ao Hier'arquica de Vari'aveis. In JOCLAD 2003: X Jornadas de Classificac c~ao e An'alise de Dados, Aveiro, Portugal, 2003. www 
  1. Lorga da Silva, A.; Saporta, G. and Bacelar-Nicolau, H. Classification hiérarchique ascendante avec imputation multiple de données manquantes. In SFC' 03 10èmes rencontres de la Société Francophone de Classification, pages 59-62, Neuchatel, Switzerland, Actes des 10èmes rencontres de la Société Francophone de Classification , 2003. www 

Divers

  1. Saporta, G. and Bourdeau, M. St@tNet: an assessment and new developments. , Poster - Berlin 11-12 aout 2003. www 

2002

Articles de revue

  1. Preda, C. and Saporta, G. Régression PLS sur un processus stochastique. In Revue de Statistique Appliquée, 50 (2): 27-45, 2002. www 
  1. Saporta, G. Data fusion and data grafting. In Computational Statistics and Data Analysis, 38 (4): 465-473, 2002. doi  www 

Livres

  1. Lauro, C.; Antoch, J.; Esposito Vinzi, V. and Saporta, G. Multivariate Total Quality Control. Physica Verlag - Springer, 2002. www 
  1. Droesbeke, J-J.; Fine, J. and Saporta, G. Méthodes bayesiennes en statistique. Editions Technip, 2002. www 

Articles de conférence

  1. Saporta, G. and Youness, G. Comparing two partitions: Some Proposals and Experiments. In COMPSTAT 2002, pages 243-248, Physica-Verlag Springer, Berlin, Germany, COMPSTAT Proceedings in Computational Statistics , 2002. www 
  1. Lorga da Silva, A.; Bacelar-Nicolau, H. and Saporta, G. Missing Data in Hierarchical Classification of Variables, a simulation study. In IFCS 2002, pages 121-128, Springer, Krakow, Poland, Classification, Clustering, and Data Analysis , 2002. www 
  1. Lorga da Silva, A.; Saporta, G. and Bacelar-Nicolau, H. Dados omissos em Classificac c~ao hier'arquica de vari'aveis e o algoritmo NIPALS. In JOCLAD 2002, Lisbonne, Portugal, 2002. www 
  1. Saporta, G. St@tNet, An Internet Based Software For Teaching Introductory Statistics. In ICOTS 6 International Conference On Teaching Statistics, Cape Town, South Africa, Proceedings ICOTS 6 , 2002. www 
  1. Fischer, N.; Derquenne, C. and Saporta, G. Méthode multivariée de fusion statistique de fichiers de données appliquée au marché résidentiel de l'électricité. In 3ème Colloque Francophone sur les Sondages, Autrans, France, 2002. www 
  1. Preda, C. and Saporta, G. Clusterwise PLS regression on a stochastic process. In COMPSTAT 2002. 15th Conference on Computational Statistics, Berlin, Germany, 2002. www 
  1. Fischer, N.; Derquenne, C. and Saporta, G. Méthode multivariée de fusion statistique de fichiers appliquée au marché résidentiel de l'électricité. In 34èmes Journées de Statistique, Bruxelles, Belgium, 2002. www 

Rapports

  1. Saporta, G. La notation statistique des emprunteurs ou `` Scoring ''. Technical Report, CREM. Commission de réflexion sur lénseignement des mathématiques, 2002.

2001

Articles de revue

  1. Saporta, G. Data mining et statistique. In Journal de la Societe Franc caise de Statistique: 81-84, 2001. www 

Articles de conférence

  1. Karlis, D.; Saporta, G.; Spinakis, A.; Anastasiou, P.; Jaupi, L. and Gonzalez, P-L. On a statistical Sofware package for non-expert users. In ETK & NTTS 2001, pages 903-905, Hersonissos, Greece, New Techniques and Technologies for Statistics : Exchange of Technology and Know-how , 2001. www 
  1. Lorga da Silva, A.; Bacelar-Nicolau, H.; Saporta, G. and Geada, M. Missing Data in Hierarchical Classification - a study with Personality developpment data. In ASMDA 2001, Compiègne, France, 2001. www 
  1. Fischer, N.; Derquenne, C. and Saporta, G. A new Method to Match Data Sets Applied to Electric Market. In NTTS-ETK : New Techniques and Technologies for Statistics, Exchange of Technology and Know-how, pages 725-733, Hersonissos, Greece, 2001. www 
  1. Saporta, G. and Youness, G. Concordance entre deux Partitions : quelques propositions et expériences. In SFC 2001: 8èmes rencontres de la Société Francophone de Classification, Pointe `a Pitre, France, 2001. www 
  1. Kouvatseas, G.; Saporta, G. and Spinakis, A. Comparability of Statistical Concepts in Labour Force Surveys. In ETK & NTTS 2001, pages 907-910, Office for Official Publications of the European Communities, Hersonissos, Greece, New Techniques and Technologies for Statistics : Exchange of Technology and Know-how , 2001. www 
  1. Preda, C. and Saporta, G. PLS regression on a stochastic process. In ASMDA'01: 10th International Symposium on Applied Stochastic Models and Data Analysis, Compiegne, France, 2001. www 
  1. Preda, C. and Saporta, G. PLS regression on a stochastic process. In PLS'01. Second International Symposium on PLS and related methods, Capri, Italy, 2001. www 
  1. Lorga da Silva, A.; Bacelar-Nicolau, H.; Saporta, G. and Geada, M. Missing Data in Hierarchical Classification, a study with personality development data. In EMPG 2001 32nd European Mathematical Psychology Group Meeting, Lisbonne, Portugal, 2001. www 
  1. Spinakis, A.; Saporta, G.; Kouvatseas, G. and Tsourti, Z. Specifications of a Site for Distance Learning in Official Statistics. In NTTS & ETK 2001 New Trends and Technologies for Statistics, pages 933-936, Hersonissos, Greece, Proceedings NTTS & ETK 2001 , 2001. www 
  1. Preda, C. and Saporta, G. Régression PLS sur un processus stochastique. In 33 èmes Journées de Statistique, Nantes, France, 2001. www 

2000

Articles de conférence

  1. Saporta, G. Data Fusion and Data grafting. In NMDM 2000: International meeting on Nonlinear Methods and Data Mining,, Rome, Italy, 2000. www 
  1. Saporta, G. Teaching Statistics with Internet: Available Resources and the St@tNet Project. In EADTU 2000: European Association of Distance Teaching Universities Millenium conference, Paris, France, 2000. www 
  1. Saporta, G. Data Mining and Official Statistics. In Quinta Conferenza Nationale di Statistica, pages 41-46, Rome, Italy, 2000. www 
  1. Saporta, G. and Fischer, N. Fusion et greffes de données. In 5èmes Journées Modulad. Data Mining des Données Clientèle, pages 43-66, Clamart, France, Revue Modulad , 2000. www 

1999

Articles de revue

  1. Bouroche, J-M. and Saporta, G. L'analyse des données. In Pour la Science. Dossier, Les mathématiques sociales (24): 36-44, 1999. www 
  1. Saporta, G. [book review] The Analysis of Proximity Data. B. S. Everitt and S. Rabe-Hesketh, Arnold, London, 1997. In Statistics in Medicine: 491-492, 1999. www 
  1. Saporta, G. [compte-rendu] Un événement : le rapport de l'Académie des Sciences sur la statistique. In Journal de la Societe Franc caise de Statistique: 74-77, 1999. www 

Chapitres d'ouvrage

  1. Saporta, G. and Co, V. Fusion de fichiers : une nouvelle méthode basée sur l'analyse homogène. In Enquêtes et sondages, pages 81-93, Dunod, 1999. www 

Articles de conférence

  1. Saporta, G. Some simple rules for interpreting outputs of principal components and correspondence analysis. In ASMDA 99: IX International Symposium on Applied Stochastic Models and Data Analysis, Lisbonne, Portugal, 1999. www 
  1. Saporta, G. Teaching Statistics with Internet: a Survey of Available Resources and the St@tNet Project. In ISI99, Helsinki, Finland, 1999. www 

1998

Articles de revue

  1. Benammou, S. and Saporta, G. Sur la normalité asymptotique des valeurs propres en ACM sous l'hypothèse d'indépendance des variables. In Revue de Statistique Appliquée, 46 (3): 21-35, 1998. www 
  1. Abdallah, H. and Saporta, G. Classification d'un ensemble de variables qualitatives. In Revue de Statistique Appliquée, 46 (4): 5-26, 1998. www 

Articles de conférence

  1. Morin, A.; Saporta, G. and Spinakis, A. Computer assisted training in statistics : internet and multimedia : a survey of existing tools. In NTTS 1998, pages 339-344, Sorrento, Italy, 1998. www 
  1. Saporta, G. The unexploited mines of academic and official statistics. In AOSC : Academic and official statistics cooperation, pages 11-15, Bucarest, Romania, R& D in statistics: Academic and official statistics cooperation , 1998. www 

1997

Livres

  1. Droesbeke, J-J.; Fine, J. and Saporta, G. Plans déxpériences : applications `a léntreprise. Editions Technip, 1997. www 

Chapitres d'ouvrage

  1. Saporta, G. Plans déxpériences et analyse conjointe: applications en marketing. In Plans déxpériences. Applications `a léntreprise, pages 451-465, Editions Technip, 1997. www 
  1. Saporta, G. Méthodes statistiques de discrimination. In Statistique et méthodes neuronales, pages 20-30, Dunod, 1997. www 

Articles de conférence

  1. Saporta, G. and Co, V. Data Fusion: a new method based on Homogeneity Analysis. In VIII International Symposium on Applied Stochastic Models and Data Analysis, pages 395-399, Rocco Curto Editore, Anacapri, Italy, Proc. 8th International Symposium on Applied Stochastic Models and Data Analysis ASMDA '97 , 1997. www 
  1. Saporta, G. and Camillo, F. Classificazione, analisi dei dati e modelli di conjoint analysis come strumenti integrati per le ricerche di mercato. In La Statistica per le imprese, pages 15-32, Torino, Italy, Atti del convegno 1, 1997. www 
  1. Saporta, G. Problèmes posés par la comparaison de classification dans des enquêtes différentes,. In 51ème session de l'Institut International de Statistique, Istanbul, Turkey, 1997. www 

1996

Articles de revue

  1. Saporta, G. Review of Michael J. Greenacre, Theory and Application of Correspondence Analysis. In Journal of Classification: 165-166, 1996. www 

Livres

  1. Saporta, G. and Stefanescu, V. Analiza datelor si informatica: cu aplicatii la studii de piata si sondaje de opinie. Editura Economica, 1996. www 
  1. Le Barzic, J-F. c.; Saporta, G.; Lavallard, F. c. and Dazy, F. L'analyse des données évolutives. Editions Technip, 1996. www 

Articles de conférence

  1. Saporta, G. L'analyse harmonique qualitative, une synthèse de la théorie. In Recolecci'on y an'alisis de datos longitudinales, pages 111-120, Bogota, Colombia, Memorias del seminario de capacitaci'on e investigaci'on ''Recolecci'on y an'alisis de datos longitudinales'' , 1996. www 

1995

Articles de revue

  1. Niang, N. and Saporta, G. Période opérationnelle moyenne de la carte de moyennes mobiles équipondérées pour le contr^ole du centrage d'un procédé. In Revue de Statistique Appliquée, 43 (3): 5-20, 1995. www 
  1. Saporta, G. and Preda, V. A General Family Of Probability Distributions. In Annales de l'ISUP, XXXIX (2): 71-93, 1995. www 

Articles de conférence

  1. Brulé, M. and Saporta, G. How car advertising works. In ESOMAR Seminar on Advertising Sponsorship and Promotions Understanding and Measuring the Effectiveness of Commercial Communications, pages 27-44, Madrid, Spain, Seminar 1995: Advertising, Sponsorship And Promotions , 1995. www 

1994

Articles de revue

  1. Mahjoub, S. and Saporta, G. Une méthode de Discrimination non paramétrique. In Revue de Statistique Appliquée, 42 (2): 99-113, 1994. www 

1993

Chapitres d'ouvrage

  1. Saporta, G. Notions sur les méthodes factorielles. In Traitements statistiques des enquêtes, pages 75-89, Dunod, 1993. www 

Articles de conférence

  1. Janvier, M.; Saporta, G. and Verdoire, E. A computer aided software for teaching statistics. In First Scientific Meeting of the IASE, pages 253-254, Pérouse, Italy, Proceedings of the First Scientific Meeting of the IASE , 1993. www 
  1. Saporta, G. and Tambrea, N. About the selection of the number of components in correspondence analysis. In ASMDA 1993: 6th International Symposium on Applied Stochastic Models and Data Analysis, pages 846-856, World Scientific, Chania, Greece, Applied Stochastic Models and Data Analysis , 1993. www 

1992

Articles de conférence

  1. Saporta, G. El Analisis Discriminante. In VIII Simposio Métodos Matem`aticos aplicados a las Ciencias, pages 75-102, Editorial de la Universidad de Costa Rica, San José, Costa Rica, Métodos Matem`aticos aplicados a las Ciencias: VII y VIII Simposios , 1992. www 
  1. Saporta, G. Los métodos y las aplicaciones del credit-scoring. In VIII Simposio Métodos Matem`aticos aplicados a las Ciencias, pages 103-109, Editorial de la Universidad de Costa Rica, San José, Costa Rica, Métodos Matem`aticos aplicados a las Ciencias: VII y VIII Simposios , 1992. www 

1990

Chapitres d'ouvrage

  1. Saporta, G. Introduction `a la discrimination ; problématiques et méthodes. In Analyse discriminante sur variables continues, pages 5-13, Inria, 1990. www 

Articles de conférence

  1. Saporta, G. Simultaneous Analysis of Qualitative and Quantitative Data. In Societa Italiana di Statistica. XXXV riunione scientifica, pages 62-72, CEDAM, Padova, Italy, Atti della XXXV riunione scientifica 1, 1990. www 

1988

Articles de conférence

  1. Bouroche, J-M. and Saporta, G. Les méthodes et les applications du credit-scoring. In 34textdegree Riunione Scientifica della Sociéta Italiana di Statistica, pages 19-26, Siena, Italy, Atti 34textdegree Riunione Scientifica della Sociéta Italiana di Statistica , 1988. www 

1987

Articles de conférence

  1. Saporta, G. About maximal association criteria in linear analysis and in cluster analysis. In Conference of the Internat. Federation of Classification Societies (IFCS),, pages 541-550, North-Holland, Aachen, Germany, Classification and related methods of data analysis , 1987. www 

1986

Articles de conférence

  1. Saporta, G. and Hatabian, G. Régions de confiance en analyse factorielle. In Fourth International Symposium on Data Analysis and Informatics, pages 499-508, Elsevier Science Publishers, Versailles, France, Data Analysis and Informatics IV, 1986. www 

1985

Articles de revue

  1. Saporta, G. Data analysis for numerical and categorical individual time-series. In Applied Stochastic Models and Data Analysis, 1 (2): 109-119, 1985. doi  www 

Chapitres d'ouvrage

  1. Saporta, G. Multidimensional data analysis for categorical variables. In Measuring the Unmeasurable, pages 317-337, Springer, 1985. www 

Articles de conférence

  1. Saporta, G. Correspondence analysis for categorical stochastic processes. In Advances in Multivariate Analysis, pages 365-376, Calcutta, India, Procedings of the International Conference on Advances in Multivariate Analysis , 1985. www 

1983

Articles de revue

  1. Deville, J-C. and Saporta, G. Correspondence analysis, with an extension towards nominal time series. In Journal of Econometrics, 22 (1-2): 169-189, 1983. doi  www 

Chapitres d'ouvrage

  1. Saporta, G. Multidimensional data analysis and quantification of categorical variables. In New Trends in Data Analysis and Applications, pages 73-97, Elsevier Science Publishers (North-Holland), 1983. www 

Articles de conférence

  1. Gautier, J-M. and Saporta, G. Méthodes non paramétriques en analyse discriminante - quelques propositions nouvelles. In Third International Symposium on Data Analysis and Informatics, pages 591-605, North-Holland, Versailles, France, Data Analysis and Informatics 3, 1983. www 

1982

Articles de conférence

  1. Saporta, G. Multidimensional analysis of panel data. In Joint Meeting of the Psychometric Society and the Classification Society, Montréal, Canada, 1982. www 
  1. Gautier, J-M. and Saporta, G. About fuzzy discrimination. In COMPSTAT 1982 5th Symposium on Computational Statistics, pages 224-229, Physica Verlag, Heidelberg, Toulouse, France, COMPSTAT 1982 , 1982. www 

1981

Thèses et habilitations

  1. Saporta, G. Méthodes exploratoires d'analyse de données temporelles. Ph.D. Thesis, Université Pierre et Marie Curie - Paris VI, 1981.

1980

Livres

  1. Bouroche, J-M. and Saporta, G. L'analyse des données. PUF, Que Sais-je ? , 1980. www 

Articles de conférence

  1. Saporta, G. About some remarkable properties of generalized canonical analysis. In European Meeting of the Psychometric Society, Groningen, Netherlands, 1980. www 

1979

Articles de revue

  1. Saporta, G. Pondération optimale de variables qualitatives en analyse des données. In Statistique et analyse des données, 4 (3): 19-31, 1979. www 

Articles de conférence

  1. Deville, J-C. and Saporta, G. L'analyse harmonique qualitative. In Analyse des données et Informatique, pages 375-389, North-Holland, Versailles, France, Data Analysis and Informatics , 1979. www 
  1. Gautier, J-M. and Saporta, G. Une méthodologie d'analyse discriminante sur variables qualitatives. In 2e Congrès Reconnaissance des formes et intelligence artificielle, pages 320-327, Toulouse, France, 1979. www 

1977

Chapitres d'ouvrage

  1. Bouroche, J-M.; Saporta, G. and Tenenhaus, M. Some methods of qualitative data analysis. In Recent Developments in Statistics, Proceedings of the European Meeting of Statisticians, pages 749-755, North-Holland, 1977. www 

Articles de conférence

  1. Saporta, G. Une méthode et un programme d'analyse discriminante sur variables qualitatives. In Analyse des données et informatique, pages 201-210, Versailles, France, Analyse des données et informatique 1, 1977. www 

1976

Articles de revue

  1. Saporta, G. Quelques applications des opérateurs d'Escoufier au traitement des variables qualitatives. In Statistique et analyse des données, 1 (1): 38-46, 1976. www 

Articles de conférence

  1. Saporta, G. Discriminant analysis when all the variables are nominal, a stepwise method. In Spring Meeting of the Psychometric Society, Murray Hill, NJ, United States, 1976. www 

1975

Articles de revue

  1. Saporta, G. Dépendance et codages de deux variables aléatoires. In Revue de Statistique Appliquée, 23 (1): 43-63, 1975. www 

Articles de conférence

  1. Bouroche, J-M.; Saporta, G. and Tenenhaus, M. Generalized canonical analysis of qualitative data. In Theory methods and applications of multidimensional scaling and related techniques, San Diego, United States, 1975. www 

Thèses et habilitations

  1. Saporta, G. Liaisons entre plusieurs ensembles de variables et codage de données qualitatives. Ph.D. Thesis, Université Pierre et Marie Curie - Paris VI, 1975.
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