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Stéphane Mussard

36
Documents
Researcher identifiers

Presentation

**Positions:** 2019/ **Co-Director of Lab Chrome EA 7352**, University of Nîmes, France 2015/ **Full Professor**, Chrome, University of Nîmes 2011/ **Research Fellow:** Luxembourg Institute of Socio-Economic Research (LISER), Luxembourg 2005/ **Research Fellow:** Groupement de Recherche en Économie et Développement International (GREDI), University of Sherbrooke, Québec, Canada **Research Topics:** Social Choice, Welfare, Inequality, Cooperative Games, Health, Operational Research, AI, Econometrics, Statistics

Publications

Principal Component Analysis: A Generalized Gini Approach

Arthur Charpentier , Stéphane Mussard , Téa Ouraga
European Journal of Operational Research, inPress, ⟨10.1016/j.ejor.2021.02.010⟩
Journal articles hal-03156702v1

Technical efficiency in firm games with constant returns to scale and $$\alpha $$-returns to scale

Walter Briec , Marc Dubois , Stéphane Mussard
Annals of Operations Research, 2021, ⟨10.1007/s10479-021-04056-6⟩
Journal articles hal-03264193v1

Generalized Gini linear and quadratic discriminant analyses

Charles Condevaux , Stéphane Mussard , Téa Ouraga , Guillaume Zambrano
METRON, 2020, 78 (2), pp.219-236. ⟨10.1007/s40300-020-00178-2⟩
Journal articles hal-02950101v1
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Accounting for risk factors on health outcomes: The case of Luxembourg

Stéphane Mussard , María Noel Pi Alperin
European Journal of Operational Research, 2020, ⟨10.1016/j.ejor.2020.09.040⟩
Journal articles hal-02963368v1
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Identification of Judicial Outcomes in Judgments: A Generalized Gini-PLS Approach

Gildas Tagny-Ngompé , Stéphane Mussard , Guillaume Zambrano , Sébastien Harispe , Jacky Montmain
Stats, 2020, 3 (4), pp.427-443. ⟨10.3390/stats3040027⟩
Journal articles hal-02951006v1
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Gini Regressions and Heteroskedasticity

Arthur Charpentier , Ndéné Ka , Stéphane Mussard , Oumar Hamady Ndiaye
Econometrics, 2019, 7 (1), pp.4. ⟨10.3390/econometrics7010004⟩
Journal articles hal-02131746v1
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Improvement of Technical Efficiency of Firm Groups

Walter Briec , Stéphane Mussard
European Journal of Operational Research, inPress, ⟨10.1016/j.ejor.2019.11.048⟩
Journal articles hal-02387847v1
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Utility and income transfer principles: Interplay and incompatibility

Marc Dubois , Stéphane Mussard
Mathematical Social Sciences, 2019, ⟨10.1016/j.mathsocsci.2019.05.001⟩
Journal articles hal-02145100v1
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A Note on α -Gini Measures

Stéphane Mussard , Pauline Mornet
Review of Income and Wealth, 2018, ⟨10.1111/roiw.12373⟩
Journal articles hal-02132104v1

Gini-PLS Regressions

Stéphane Mussard , Fattouma Souissi-Benrejab
Journal of Quantitative Economics, 2018, ⟨10.1007/s40953-018-0132-9⟩
Journal articles hal-02187582v1

Health Inequality Indices and Exogeneous Risk Factors : An illustration luxembourgish workers

Véronique Thireau , Stephane Mussard , Maria Noel Pi Alperin
European Journal of Health Economics, 2018, ⟨10.1007/s10198-018-0973-3⟩
Journal articles hal-01987468v1

Vector autoregressive models: A Gini approach

Stéphane Mussard , Oumar Hamady Ndiaye
Physica A: Statistical Mechanics and its Applications, 2018, 492, pp.1967-1979. ⟨10.1016/j.physa.2017.11.111⟩
Journal articles hal-02132100v1
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On some relations between several generalized convex DEA models

Louisa Andriamasy , Walter Briec , Stéphane Mussard
Optimization, 2017, 66 (4), pp.547 - 570. ⟨10.1080/02331934.2017.1279159⟩
Journal articles hal-01781483v1
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ℓ1 regressions: Gini estimators for fixed effects panel data

Ndéné Ka , Stéphane Mussard
Journal of Applied Statistics, 2015, 46 (8), pp.1436-1446. ⟨10.1080/02664763.2015.1103707⟩
Journal articles hal-01784180v1

Efficient firm groups: Allocative efficiency in cooperative games

Walter Briec , Stéphane Mussard
European Journal of Operational Research, 2014, 239 (1), pp.286-296. ⟨10.1016/j.ejor.2014.04.049⟩
Journal articles hal-02132094v1

The (α, β)-multi-level α-Gini decomposition with an illustration to income inequality in France in 2005

Pauline Mornet , Claudio Zoli , Stéphane Mussard , Jules Sadefo-Kamdem , Françoise Seyte
Economic Modelling, 2013, 35, pp.944-963. ⟨10.1016/j.econmod.2013.06.016⟩
Journal articles hal-02901811v1

QUADRATIC PEN'S PARADE AND THE COMPUTATION OF THE GINI INDEX

Stéphane Mussard , J. Sadefo Kamdem , Françoise Seyte , Michel Terraza
Review of Income and Wealth, 2011, 57 (3), pp.583-587. ⟨10.1111/j.1475-4991.2011.00441.x⟩
Journal articles hal-02935502v1

Decomposition of s-concentration curves

Paul Makdissi , Stéphane Mussard
Canadian Journal of Economics / Revue Canadienne d'Économique, 2008, 41 (4), pp.1312-1328. ⟨10.1111/j.1540-5982.2008.00505.x⟩
Journal articles hal-02132082v1

Analyzing the impact of indirect tax reforms on rank-dependent social welfare functions: a positional dominance approach

Paul Makdissi , Stéphane Mussard
Social Choice and Welfare, 2008, 30 (3), pp.385-399. ⟨10.1007/s00355-007-0237-0⟩
Journal articles hal-02132092v1
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Fair and Efficient Alternatives to Shapley-based Attribution Methods

Charles Condevaux , Sébastien Harispe , Stéphane Mussard
ECMLPKDD 2022 - The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2022, Grenoble, France. ⟨10.1007/978-3-031-26387-3_19⟩
Conference papers hal-03781033v1
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NER sur décisions judiciaires françaises : CamemBERT Judiciaire ou méthode ensembliste ?

Sid Ali Mahmoudi , Charles Condevaux , Bruno Mathis , Guillaume Zambrano , Stéphane Mussard
Extraction et Gestion des connaissances EGC'2022, Jan 2022, Blois, France
Conference papers hal-03540972v1

Classification One-Shot faiblement supervisée par réseaux de neurones récurrents avec attention : application à la détection de résultat juridique

Charles Condevaux , Sébastien Harispe , Stéphane Mussard , Guillaume Zambrano
EGC 2020 - Extraction et Gestion des Connaissances, Jan 2020, Bruxelles, Belgique
Conference papers hal-02884195v1
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Weakly Supervised One-shot Classification using Recurrent Neural Networks with Attention: Application to Claim Acceptance Detection

Charles Condevaux , Sébastien Harispe , Stéphane Mussard , Guillaume Zambrano
JURIX 2019 32nd International Conference on Legal Knowledge and Information Systems, Dec 2019, Madrid, Spain. ⟨10.3233/faia190303⟩
Conference papers hal-02407405v1

Reconnaissance de sections et d'entités dans les décisions de justice : application des modèles probabilistes hmm et crf

Gildas Tagny Ngompé , Sébastien Harispe , Guillaume Zambrano , Jacky Montmain , Stéphane Mussard
Extraction et Gestion des Connaissances - EGC 2017. , Jan 2017, Grenoble, France
Conference papers hal-01485019v1

Detecting sections and entities in court decisions using HMM and CRF graphical models

Gildas Tagny Ngompe , Sébastien Harispe , Jacky Montmain , Guillaume Zambrano , Stephane Mussard
Conférence Extraction et Gestion des Connaissances, Université Grenoble alpes (UGA), Jan 2017, Grenoble, France
Conference papers hal-02101479v1
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Analyse sémantique d’un corpus exhaustif de décisions jurispridentielles pour le développement d’un modèle prédictif du risque judiciaire

Gildas Tagny Ngompé , Sébastien Harispe , Jacky Montmain , Stéphane Mussard , Guillaume Zambrano
L’anticipation de la répression : innovation ou régression ?, Jun 2016, Montpellier, France
Conference papers hal-01485030v1
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Estimation du coût d'opportunité des fonds publics pour l'économie française

Mickaël Beaud , Thierry Blayac , Patrice Bougette , Soufiane Khoudmi , Philippe Mahenc
[Rapport Technique] LAMETA et Université Montpellier 1 - Etude pour le Ministère de l'Ecologie, du Développement Durable et de l'Energie. 2013
Reports halshs-01077141v1