Gilbert Saporta
CV-Hal Gilbert Saporta
66%
Open access
327
Documents
Researcher identifiers
gilbert-saporta
-
0000-0002-3406-5887
- IdRef : 027122565
- Arxiv : saporta_g_1
Presentation
Emeritus Professor of Applied Statistics at [Conservatoire National des Arts et Métiers ](http://www.cnam.fr)(CNAM)
Guest professor 2017-2022 [Beihang University](https://ev.buaa.edu.cn/), Beijing, China
webpage : <http://cedric.cnam.fr/~saporta>
e-mail: gilbert.saporta@cnam.fr
EDUCATION
* Ingénieur Ecole Centrale Paris (1968).
* Master in mathematical statistics, Université Paris VI (1969).
* Graduated from Institut de Statistique de l'Université de Paris (1970).
* Docteur (Ph.D.) Statistique, Université Paris VI (1975).
* Docteur ès Sciences Mathématiques, Université Paris VI (1981).
TEACHING EXPERIENCE
at Conservatoire National des Arts et Métiers (1984-2014):
* Unit STA 108 « Survey Sampling »
* Unit STA 201 « Advanced Multivariate Analysis »
others:
* 1969-1984 Assistant professor Paris Institute of Technology
* 1970-1972 lecturer Bachelor in Psychology Université Paris X
* 1971-1978 lecturer Université de Paris VI.
* 1970-1983 Associate professor Ecole Nationale Supérieure des Mines de Paris.
* 1977-1983 Associate professor Ecole Nationale Supérieure du Pétrole et des Moteurs (IFP school)
* 1983-1991 Associate professor Ecole Centrale Paris
* 1983-2007 lecturer Ecole Nationale de la Statistique et de l'Administration Economique
* 1986-2000 lecturer Institut de Statistique de l'Université Paris VI (ISUP)
* 1999-2007 lecturer Université de Neuchatel,Suisse
Ph.D. SUPERVISION:
[29 Ph.D](http://cedric.cnam.fr/~saporta/THESES%20%20DIRIGEES%20PAR%20GILBERT%20SAPORTA.pdf)
ASSOCIATIONS:
- Honorary President of [Société Française de Statistique](https://www.sfds.asso.fr/) 2017-
- President of the non-profit Foundation "La Science Statistique" 2008-
- Past President of IASC ([International Association for Statistical Computing](https://iasc-isi.org/)) 2005-2007
- Former Vice-president of ISI ([International Statistical Institute](https://www.isi-web.org/)) 2005-2007
- Former President of Société de Statistique de France 1995-1996 & Société de Statistique de Paris 1995-1997
- Former president of ASU (Association pour la Statistique et ses Utilisations) 1986-1988;
- Member of [Société Francophone de Classification](http://www.sfc-classification.net/), [Psychometric Society](https://www.psychometricsociety.org/), [International Association for Statistical Education](https://iase-web.org/) , [Societa Italiana di Statistica](https://www.sis-statistica.it/), [European Association for Data Science](https://www.euads.org/)
- Honorary member of [Societatea de Probabilitati si Statistica din Romania](http://spsr.ase.ro/)
Professeur émérite de Statistique Appliquée au Conservatoire National des Arts et Métiers (CNAM)
Professeur invité 2017-2022 : [Beihang University](https://ev.buaa.edu.cn/), Beijing, Chine
webpage : http://cedric.cnam.fr/~saporta
e-mail: gilbert.saporta@cnam.fr
FORMATION
* Ingénieur Ecole Centrale Paris (1968).
* Master en statistique mathématique, Université Paris VI (1969).
* Diplômé de l' Institut de Statistique de l'Université de Paris (1970).
* Docteur (Ph.D.) Statistique, Université Paris VI (1975).
* Docteur ès Sciences Mathématiques, Université Paris VI (1981).
ENSEIGNEMENT
au Conservatoire National des Arts et Métiers (1984-2014):
* UE STA 108 « Enquêtes et sondages»
* UE STA 201 « Analyse multivariée approfondie»
autres établissements:
* 1969-1984 Assistant professor Paris Institute of Technology
* 1970-1972 lecturer Licence de Psychologie Université Paris X
* 1971-1978 lecturer Université Pierre et Marie Curie Paris VI.
* 1970-1983 Associate professor Ecole Nationale Supérieure des Mines de Paris.
* 1977-1983 Associate professor Ecole Nationale Supérieure du Pétrole et des Moteurs (IFP school)
* 1983-1991 Associate professor Ecole Centrale Paris
* 1983-2007 lecturer Ecole Nationale de la Statistique et de l'Administration Economique
* 1986-2000 lecturer Institut de Statistique de l'Université Paris VI (ISUP)
* 1999-2007 lecturer Université de Neuchatel, Suisse
DIRECTION DE THESES
[29 Ph.D](http://cedric.cnam.fr/~saporta/THESES%20%20DIRIGEES%20PAR%20GILBERT%20SAPORTA.pdf)
ASSOCIATIONS:
- Président d'honneur [Société Française de Statistique](https://www.sfds.asso.fr/) 2017-
- Président de la Fondation reconnue d'utilité publique "La Science Statistique" 2008-
- Ancien Président IASC ([International Association for Statistical Computing](https://iasc-isi.org/)) 2005-2007
- Ancien Vice-président ISI ([International Statistical Institute](https://www.isi-web.org/)) 2005-2007
- Ancien Président de la Société de Statistique de France 1995-1996 & Société de Statistique de Paris 1995-1997
- Ancien Président de l'ASU (Association pour la Statistique et ses Utilisations) 1986-1988;
- Membre de [Société Francophone de Classification](http://www.sfc-classification.net/), [Psychometric Society](https://www.psychometricsociety.org/), [International Association for Statistical Education](https://iase-web.org/) , [Societa Italiana di Statistica](https://www.sis-statistica.it/), [European Association for Data Science](https://www.euads.org/)
- Membre d'honneur de la [Societatea de Probabilitati si Statistica din Romania](http://spsr.ase.ro/)
Research domains
Publications
- 15
- 10
- 9
- 8
- 8
- 8
- 8
- 8
- 7
- 7
- 7
- 7
- 6
- 6
- 6
- 6
- 5
- 5
- 5
- 5
- 5
- 4
- 4
- 4
- 4
- 4
- 4
- 4
- 4
- 4
- 4
- 4
- 4
- 4
- 4
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 36
- 18
- 17
- 11
- 11
- 10
- 10
- 10
- 9
- 9
- 8
- 7
- 7
- 7
- 6
- 6
- 6
- 6
- 6
- 6
- 6
- 6
- 6
- 5
- 5
- 5
- 5
- 5
- 4
- 4
- 4
- 4
- 4
- 4
- 4
- 4
- 4
- 4
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 9
- 7
- 5
- 4
- 4
- 3
- 3
- 2
- 2
- 2
- 2
- 2
- 2
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 3
- 10
- 7
- 12
- 11
- 11
- 12
- 17
- 15
- 11
- 12
- 12
- 8
- 19
- 13
- 11
- 13
- 13
- 16
- 6
- 13
- 12
- 11
- 4
- 6
- 4
- 6
- 4
- 3
- 1
- 3
- 2
- 2
- 1
- 1
- 1
- 3
- 3
- 2
- 1
- 2
- 3
- 2
- 2
- 3
- 286
- 29
- 7
- 3
- 2
- 1
- 1
|
A comparison of some methods for clustering of variables of mixed typesXXX Meeting of the Portuguese Association for Classification and Data Analysis (JOCLAD 2023), CLAD, Apr 2023, Viana Do Castelo, Portugal. pp.85-86
Conference papers
hal-04080343v1
|
On some issues related to the fairness of algorithmsCompstat 2022, 24th International Conference on Computational Statistics, International Association for Statistical Computing- European Regional Section, Aug 2022, Bologna, Italy
Conference papers
hal-03760485v1
|
|
Equité et explicabilité des algorithmes : définitions, paradoxes et biaisCISEM 2022, 3eme Colloque international statistique et économétrie, Faculté des sciences économiques et de gestion, Mahdia, May 2022, Mahdia, Tunisie
Conference papers
hal-03668668v1
|
|
Some spatial regression models for functional and compositional dataConference in honor of Christine Thomas-Agnan, Toulouse School of Economics, Jul 2022, Toulouse, France
Conference papers
hal-03791487v1
|
|
Codage optimal : nouveaux regards sur un ancien problème27èmes rencontres de la Société Francophone de Classification (SFC) 2022, Université Lumière Lyon 2, Sep 2022, Lyon, France
Conference papers
hal-03778052v1
|
|
From the triumph of black boxes to the right to understand and the search for fairnessASMDA 2021, Jun 2021, Athens, Greece
Conference papers
hal-03245218v1
|
|
Sparse Correspondence Analysis for Contingency TablesCelebrating 40 years of Greek Statistical Institute 1981-2021, Greek Statistical Institute, Mar 2021, Athènes, Greece
Conference papers
hal-03183719v1
|
|
Interprétabilité des modèles prédictifsASI 11. 11ème Colloque International sur l'Analyse Statistique Implicative, Nov 2021, Belfort, France
Conference papers
hal-03425974v1
|
|
|
Sparse Divisive Feature ClusteringXXVIII Meeting of the Portuguese Association for Classification and Data Analysis (JOCLAD 2021), CLAD, Dec 2021, Covilhã, Portugal. pp.75-76
Conference papers
hal-03475860v1
|
About Interpreting and Explaining Machine Learning and Statistical ModelsSMTDA 2020; 6th Stochastic Modeling Techniques and Data Analysis International Conference, Jun 2020, Barcelone (virtual), Spain
Conference papers
hal-02779513v1
|
|
|
Sparse Multiple Correspondence Analysis52èmes Journées de Statistique, Société Française de Statistique (SFdS), May 2020, Nice, France. pp.830-835
Conference papers
pasteur-03037346v1
|
De l'analyse exploratoire à la modélisation prédictive: le chemin de la science des donnéesMontpellier: berceau de la Data Science. Colloque en l'honneur du Pr. Yves Escoufier, Jun 2019, Montpellier, France
Conference papers
hal-03334607v1
|
|
Science des données, données massives : défis et nouveaux métiersCISEM 2019, May 2019, Mahdia, Tunisie
Conference papers
hal-02471319v1
|
|
Sparse Methods for Unsupervised Data AnalysisThe 4th International Symposium on Interval Data Modelling (SIDM 2019), Jun 2019, Pékin, China
Conference papers
hal-02471316v1
|
|
Sparse Correspondence AnalysisASMDA 2019. 18th Conference of the Applied Stochastic Models and Data Analysis International Society, Jun 2019, Florence, Italy
Conference papers
hal-02471317v1
|
|
Impact of work-related psychosocial factors on mental health: A cross-sectional study in the French working populationWork, Stress and Health 2019 Conference of the American Psychological Association, Nov 2019, Philadelphia, United States
Conference papers
hal-02470678v1
|
|
SFLM: A mix of a Functional Linear Model and of a Spatial Autoregressive Model for spatially correlated functional dataCroNoS Workshop on Functional Data Analysis, Aug 2018, Iasi, Romania
Conference papers
hal-02471736v1
|
|
|
Clusterwise multiblock PLSSFC 2018, Sep 2018, Paris, France
Conference papers
hal-02471608v1
|
|
Clusterwise Methods: a Synthesis and New DevelopmentsHomenagem a Fernando da Costa Nicolau, Associação Portuguesa de Classificação e Análise de Dados, Jun 2018, Lisbonne, Portugal. pp.23-26
Conference papers
hal-03187023v1
|
|
Identification et hiérarchisation des facteurs psychosociaux liés au stress au travail49èmes journées de statistique, May 2017, Avignon, France
Conference papers
hal-02474970v1
|
|
Expliquer ou prédire? Les nouveaux défisChimiometrie 2017, Jan 2017, Paris, France
Conference papers
hal-02507348v1
|
Importance of factors contributing to work-related stress: comparison of four metricsASMDA 2017, Jun 2017, London, United Kingdom
Conference papers
hal-02474927v1
|
|
|
Clusterwise Sparse PLSPLS'17, Jun 2017, Macao, Macau SAR China
Conference papers
hal-02475001v1
|
|
Clusterwise methods, past and presentISI 2017 61st World Statistics Congress, Jul 2017, Marrakech, Morocco
Conference papers
hal-02473529v1
|
Variable selection for multiply imputed data with penalized generalized estimating equationsXXVIIIth International Biometric Conference, Jul 2016, Victoria, Canada
Conference papers
hal-02500597v1
|
|
|
Prédiction en régression clusterwise PLS48 èmes Journées de Statistique, May 2016, Montpellier, France
Conference papers
hal-02500605v1
|
Variable selection for longitudinal biomarkers constrained by a detection limitCompstat 2016, Aug 2016, Oviedo, Spain
Conference papers
hal-02500582v1
|
|
Some Sparse Methods for High Dimensional DataH2DM International Workshop on High Dimensional Data Mining, Jun 2016, Naples, Italy
Conference papers
hal-02500643v1
|
|
Regularized clusterwise multiblock regressionCompstat 2016, Aug 2016, Oviedo, Spain
Conference papers
hal-02500591v1
|
|
|
A New Approach to Estimate Uncertainty in Waste CharacterizationAdvances in Nuclear Nonproliferation Technology and Policy Conference, Sep 2016, Santa Fe, United States
Conference papers
hal-02500574v1
|
Training Data Scientists: A Few ChallengesEuropean Data Science Conference, European Association for Data Science, Nov 2016, Luxembourg, Luxembourg
Conference papers
hal-03953145v1
|
|
|
Intégrer les données manquantes dans la sélection de variables pour données longitudinales48 èmes Journées de Statistique, May 2016, Montpellier, France
Conference papers
hal-02500612v1
|
Predictive versus Generative Modelling: a Challenge for (Social) SciencesData Science & Social Research Conference, Feb 2016, Naples, Italy
Conference papers
hal-02500634v1
|
|
Generalizing Partial Least Squares and Correspondence Analysis to Predict Categorical (and Heterogeneous) Data7th conference on Correspondence Analysis and Related Methods CARME 2015, Sep 2015, Napoli, Italy
Conference papers
hal-02507459v1
|
|
|
L'effet de visites manquantes sur l'estimateur des GEE, une étude par simulation47èmes journées de statistique, Jun 2015, Lille, France
Conference papers
hal-02507494v1
|
Screening policies in health impact assessment: easier decision making through cluster analysis8th European Congress of Epidemiology, International Epidemiological Association, Jun 2015, Maastricht, Netherlands. pp.852, ⟨10.1007/s10654-015-0072-z⟩
Conference papers
hal-03130198v1
|
|
A methodological tool for work-related stress management: Importance-Performance Analysis used complementary to PLS path modellingApplied Stochastic Models and Data Analysis, Jul 2015, Le Pirée, Greece
Conference papers
hal-02507482v1
|
|
Which analytic methods for Big Data?ARS'15. Fifth International Workshop on Social Network Analysis, Università degli Studi di Salerno, Apr 2015, Capri, Italy
Conference papers
hal-03953110v1
|
|
Screening Policies for Health Impact Assessment: cluster analysis for easier decision making8th European Public Health Conference, European Public Health Association, Oct 2015, Milan, Italy. pp.133-134, ⟨10.1093/eurpub/ckv171.014⟩
Conference papers
hal-03130097v1
|
|
Les méthodes « clusterwise » : principes et applicationsXXII èmes rencontres de la Société Francophone de Classification, Sep 2015, Nantes, France
Conference papers
hal-02507509v1
|
|
Conjoint Analysis: past, present and issuesChoice and preference analysis for quality improvement and seminar on experimentation, Jul 2015, Bari, Italy
Conference papers
hal-02507516v1
|
|
Exploratory data analysis and contiguity relations: An outlookCFE-CMStatistics, Dec 2015, London, United Kingdom
Conference papers
hal-02507419v1
|
|
Clusterwise multiblock PLSCARME 2015: Correspondence Analysis and Related Methods, Sep 2015, Napoli, Italy
Conference papers
hal-02507449v1
|
|
Clusterwise multiblock PLS regressionCFE-CMStats, Dec 2015, London, United Kingdom
Conference papers
hal-02507429v1
|
|
|
The Effect of Missing Visits on GEE, a Simulation StudyApplied Stochastic Models and Data Analysis ASMDA 2015, Jun 2015, Le Pirée, Greece
Conference papers
hal-02507487v1
|
De l'ACP sparse à l'ACM sparseAgrostat 2014, Mar 2014, Rabat, Maroc
Conference papers
hal-01126395v1
|
|
|
Data Mining, Machine Learning and Official StatisticsConference of European Statistics Stakeholders, Nov 2014, Rome, Italy
Conference papers
hal-01126492v1
|
|
Régression typologique pour données multi-blocs46 émes journées de statistique, Jun 2014, Rennes, France
Conference papers
hal-01126425v1
|
Supervised classification and experimental designsCompstat 2014, Aug 2014, Genève, Switzerland
Conference papers
hal-01126449v1
|
|
|
An integration of partial least squares and sparsified multiple correspondence analysis applied to genetic dataPLS2014. 8th International Conference on Partial Least Squares and Related Methods, May 2014, Paris, France
Conference papers
hal-01126419v1
|
|
A PLS Path Model for Predicting Impact of Job Characteristics on Work-Related StressPLS2014. 8th International Conference on Partial Least Squares and related Methods, May 2014, Paris, France
Conference papers
hal-01126417v1
|
From Sparse Regression to Sparse Multiple Correspondence AnalysisEuropean Conference on Data Analysis, Jul 2013, Luxembourg, Luxembourg. pp.25
Conference papers
hal-01126275v1
|
|
|
Une comparaison de quatre techniques d'inférence des refusés dans le processus d'octroi de crédit45 émes Journées de statistique, May 2013, Toulouse, France
Conference papers
hal-01126255v1
|
A survey of some sparse methods for high-dimensional dataSADA'13, Mar 2013, Cotonou, Benin
Conference papers
hal-01126236v1
|
|
Reject inference techniques and semi supervised methods implemented in the process for granting creditERCIM 2013, Dec 2013, Londres, United Kingdom
Conference papers
hal-01126358v1
|
|
|
Analyse en composantes principales sparse pour données multiblocs et extension à l'analyse des correspondances multiples sparse45 émes Journées de statistique, May 2013, Toulouse, France
Conference papers
hal-01126256v1
|
|
A Robust Strategy for Combining Several Classifiers for Small Samples and Heterogeneous PredictorsChimiometrie 2013, Sep 2013, Brest, France. pp.33-34
Conference papers
hal-01126303v1
|
A generalisation of sparse PCA to multiple correspondence analysisERCIM 2012, Dec 2012, Oviedo, Spain
Conference papers
hal-01126217v1
|
|
|
Sparse principal component analysis for multiblock data and its extension to sparse multiple correspondence analysisCompstat 2012, International Association for Statistical Computing, Aug 2012, Limassol, Cyprus. pp.99-106
Conference papers
hal-01126171v1
|
|
Méthodes multiblocs pour l'identification de gènes associés au vieillissement cutanéJdS'12, May 2012, Bruxelles, Belgique
Conference papers
hal-00752243v1
|
|
Kernel discrimination and explicative features: an operative approachCompstat 2012, Aug 2012, Limassol, Cyprus. pp.507-518
Conference papers
hal-01126173v1
|
|
Contrôle non paramétrique de procédés par lots basé sur STATIS et la classificationAgrostat2012, 12èmes journées Européennes Agro-Industrie et Méthodes Statistiques, Mar 2012, Paris, France. pp.163-169
Conference papers
hal-01126032v1
|
Mining Official Data: What's New?2012 SIAM International Conference on Data Mining, Apr 2012, Anaheim, United States
Conference papers
hal-01126122v1
|
|
|
Stacking prediction for a binary outcomeCompstat 2012, Aug 2012, Limassol, Cyprus. pp.271-282
Conference papers
hal-01126172v1
|
|
Méthodes multiblocs pour l'identification de gènes associés au vieillissement cutané chez 502 femmes caucasiennes adultesEGC 2012, Jan 2012, Bordeaux, France. pp.555-556
Conference papers
hal-00750918v1
|
Statistique et analyse de données pour l’assureurGender Directive Conference, ActuariaCnam, May 2012, Paris, France
Conference papers
hal-03548803v1
|
|
|
A semi-supervised recommender system to predict online job offer performanceTheory and Application of High-dimensional Complex and Symbolic Data Analysis in Economics and Management Science, Oct 2011, Beijing, China
Conference papers
hal-01126131v1
|
|
Une méthode de traitement des refusés dans le processus d'octroi de crédit43émes Journées de Statistique, Jun 2011, Tunis, Tunisie
Conference papers
hal-01125868v1
|
A comparison between latent semantic analysis and correspondence analysisCARME 2011 International conference on Correspondence Analysis and Related Methods, Feb 2011, Rennes, France. pp.20
Conference papers
hal-01125854v1
|
|
|
Approche bayesienne des modèles à équations structurelles utilisant l'expansion paramétrique43. Journées de Statistique, Jun 2011, Tunis, Tunisie
Conference papers
hal-01125869v1
|
|
A Semi-Supervised Hybrid System to Enhance the Recommendation of Channels in terms of Campaign ROICIKM'11, 20th ACM Conference on Information and Knowledge Management, Oct 2011, Glasgow, United Kingdom. pp.2265-2268
Conference papers
hal-01125926v1
|
|
A Clusterwise Center and Range Regression Model for Interval-Valued DataCOMPSTAT'2010, 19th International Conference on Computational Statistics, Aug 2010, Paris, France. pp.461-468
Conference papers
hal-01125762v1
|
|
Approche bayésienne des modèles à équations structurelles42èmes Journées de Statistique, Société française de statistiques, May 2010, Marseille, France
Conference papers
inria-00494790v1
|
|
e-Recrutement : recherche de mots-clés pertinents dans le titre des annonces d'emploiJADT'2010, 10th International Conference on Statistical Analysis of Textual Data, Jun 2010, Rome, Italie
Conference papers
hal-01125769v1
|
|
Anticipated and Adaptive Prediction in Functional Discriminant AnalysisCOMPSTAT'2010, 19th International Conference on Computational Statistics, Aug 2010, Paris, France. pp.189-198
Conference papers
hal-01125761v1
|
|
On the use of Weighted Regression in Conjoint AnalysisCOMPSTAT'2010, 19th International Conference on Computational Statistics, Aug 2010, Paris, France. pp.777-784
Conference papers
hal-01125764v1
|
|
Détermination du nombre de classes dans les méthodes de bipartitionnement17émes Rencontres de la Société Francophone de Classification, Jun 2010, Saint-Denis de la Réunion, France. pp.119-122
Conference papers
hal-01125840v1
|
Classification supervisée et données fonctionnellesSFC'2010, 17èmes rencontres de la Société Francophone de Classification, Jun 2010, Saint Denis de la Réunion, France
Conference papers
hal-01125768v1
|
|
|
Contributions to Bayesian Structural Equation ModelingCOMPSTAT'2010, 19th International Conference on Computational Statistics, Paris, Aug 2010, Paris, France. pp.469-476
Conference papers
hal-01125763v1
|
|
WCUM pour l'analyse d'un site web10e conférence internationale sur l'Extraction et la Gestion des Connaissances EGC'2010, Jan 2010, Hammamet, Tunisie. pp.45-52
Conference papers
hal-01125844v1
|
|
Modèles de comptage appliqués aux décisions de candidature aux offres d'emploi sur le web42èmes Journées de Statistique, 2010, Marseille, France, France
Conference papers
inria-00494728v1
|
|
On the Number of Clusters in Block Clustering Algorithms23rd International FLAIRS Conference, May 2010, Florida, United States. pp.392-397
Conference papers
hal-01125839v1
|
Models for Understanding versus Models for PredictionMSDM'09, Mar 2009, Hammamet, Tunisia
Conference papers
hal-01125659v1
|
|
Supervised and Unsupervised Linear Methods for Functional Data AnalysisASMDA'09, Jul 2009, Vilnius, Lithuania
Conference papers
hal-01125668v1
|
|
|
Batch Process Monitoring by Three-way Data Analysis ApproachASMDA'09 XIII International Conference on Applied Stochastic Models and Data Analysis, Jul 2009, Vilnius, Lithuania. pp.294-298
Conference papers
hal-01125669v1
|
|
An Approach for PLS Regression Modeling of Functional Data6th International Conference on Partial Least Squares and Related Methods (PLS'09), Sep 2009, Pékin, China. pp.28-33
Conference papers
hal-01125704v1
|
Comparing partitions of different units based on same questionnaireSymposium on Mathematical Sciences, American University of Beirut, Jan 2009, Beyrouth, Lebanon
Conference papers
hal-03179602v1
|
|
Block clustering for web pages categorizationIDEAL 2009: Intelligent Data Engineering and Automated Learning, Sep 2009, Burgos, Spain. pp.260-267, ⟨10.1007/978-3-642-04394-9_32⟩
Conference papers
hal-01125843v1
|
|
|
Un modèle à variables latentes pour le traitement de données hybrides issues de comparaison interlaboratoires41èmes Journées de Statistique, SFdS, Bordeaux, 2009, Bordeaux, France
Conference papers
inria-00386658v1
|
|
Contrôle multivarié de procédés par lots à l'aide de Statis41èmes Journées de Statistique, SFdS, Bordeaux, 2009, Bordeaux, France, France
Conference papers
inria-00386632v1
|
|
Determining the number of clusters in CROKI2 algorithmMSDM'09 - Meeting on Statistics and Data Mining, Mar 2009, Hammamet, Tunisia. pp.143-148
Conference papers
hal-01125741v1
|
|
PLS Regression with Functional Predictor and Missing DataPLS'09,6th Int. Conf. on Partial Least Squares and Related Methods, Sep 2009, Pékin, China. pp.17-22
Conference papers
hal-01125705v1
|
|
Models for Understanding versus Models for PredictionCompstat 2008, Aug 2008, Porto, Portugal. pp.315-322, ⟨10.1007/978-3-7908-2084-3_26⟩
Conference papers
hal-01125563v1
|
|
Zero option in conjoint analysis, A new specification of the indecision and the refusal. Application to the Video on Demand marketSIS'08, Societa Italiana di Statistica, Jun 2008, Cosenza, Italy
Conference papers
hal-01125540v1
|
|
Le bi-partitionnement : Etat de l'art sur les approches et les algorithmesEcol'IA'08, Mar 2008, Hammamet, Tunisie
Conference papers
hal-01125575v1
|
Multiple Imputation and Multidimensional Scaling Applied to a k-means MethodCOMPSTAT'08, Aug 2008, Porto, Portugal
Conference papers
hal-01125564v1
|
|
|
Adaptive Forecasting on Functional DataSIS'08, Societa Italiana di Statistica, Jan 2008, Arcavata di Rende, Italy
Conference papers
hal-01125539v1
|
|
Model Selection and Predictive InferenceTrends and Challenges in Applied Mathematics, Technical University of Civil Engineering, Jun 2007, Bucarest, Romania. pp.92-97
Conference papers
hal-01125334v1
|
|
A nonlinear PLS path modeling based on monotonic B-spline transformations5th International symposium on PLS and related methods (PLS'07), Sep 2007, Matforsk, Norway. pp.112-115
Conference papers
hal-01125363v1
|
|
Discussion on Importance of Variable Selection in PLS1 Modeling |