Sophie Dabo-Niang - Pages des personnels de l'université Lille 3

Sophie Dabo-Niang
University of Charles De Gaulle, Lille 3
Domaine du pont de bois
Laboratoire EQUIPPE, maison de la recherche E-mail : sophie.dabo@univ-lille3.fr
BP 149, 59653 Villeneuve d’ascq cedex Phone : (00) 33 20416510
EDUCATION
2009 HDR (Tenure) Statistics, University Lille 3, November 2009.
2002 Ph.D. Statistics, University Paris 6 (Pierre and Marie Curie), Decembre 2002.
Advisor : Denis Bosq.
1999 M.S Statistics, University Paris 6
1998 B.S Applied Mathematics, University Paris 5 (René Descartes)
1998 B.S Statistics and Computer Science, University Paris 5
PROFESSIONAL EXPERIENCE
2010- Professor, University Lille 3 (Charles De Gaulle)
2004-2010 Assistant professor, University Lille 3 (Charles De Gaulle)
2002-2004 Temporary researcher and teacher, University Paris 2 (Panthéon Assas).
PROFESSIONAL SERVICE
– Referee for Statistical Inference for Stochastic Processes.
– Referee for Computational Statistics and Data Analysis.
– Referee for Statistics.
– Referee for Journal of Afrika Statistika
– Referee for the PhD thesis of Jorge Barrientos, January 2007, Alicante, Spain.
– Referee for the PhD thesis of Claudie Baulieu, March 2009, Québec, Canada.
– Referee for the PhD thesis of Amine Niang, May, 2009, Sénégal.
– Referee for the PhD thesis of Abdallah Bacar ELAMINE, March, 23, 2010, Montpellier, France.
– Organization of the fifth days of functional and operatorial statistics, June, 21-22, 2007, at University
Charles De Gaulle, Lille 3.
PhD students
– Ahmedoune Ould Abdi. PhD defended on July 24, 2010.
– Sidi Ali Ould Abdi. PhD defended on July 26, 2010.
AWARDS, GRANTS and FELLOWSHIPS
– IMS (Institute of Mathematical Statistics) LAHA AWARD, August 2003.
– Ph.D fellowship, CREST (Research center of Economics and Statistics), PARIS, 1999-2002.
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VISITING POSITION
– GEORGIA TECH, Atlanta, of 27 July- September 10, 2005 : Collaboration with Serge Guillas.
– University Gaston Berger of Sénégal, April 2005, July 2007-2010.
– INREST, Quebec, Canada, March 2009.
– University UCAD of Dakar, July 2009.
– University College London, August 2009.
RESEARCH ACTIVITIES
Research interest
– Functional estimation : non-parametric ; semi-parametric
– Functional Data Analysis
– Spatial Statistics
– Statistics of processes
– The Ergodic theory
Publications
1. Dabo-Niang, S. Estimation de la densité en dimension infinie : Application aux processus de type diffusion.
C.R.Acad. Sci. Paris, Ser I.334 (2002) 213-216.
2. Dabo-Niang, S and Rhomari, N. Estimation non paramétrique de la régression avec variable explicative
dans un espace métrique. C.R.Acad. Sci. Paris, Ser I. 336 (2003) 75-80.
3. Dabo-Niang, S. Density estimation in a separable metric space. Pub. Inst. Stat. Univ. Paris, Vol. XXXX-
VII, fasc. 1-2, 2003, 3-21.
4. Dabo-Niang, S. Density estimation by orthogonal series in an infinite dimensional space : Application to
processes of diffusion type . Journal of Nonparametric Statistics, Vol 16, 1-2, 2004, p : 171-186.
5. Dabo-Niang, S. Kernel density estimator in an infinite dimensional space with a rate of convergence in
the case of diffusion process. Applied Mathematical Letters, Vol 17, 4, (2004), p : 381-386.
6. Dabo-Niang, S ; Ferraty, F and Vieu, P. Estimation du mode dans un espace normé, C.R.Acad. Sci. Paris,
Ser I. 339 (2004) 659-662.
7. Dabo-Niang, S ; Ferraty, F and Vieu, P (2004). Nonparametric unsupervised classification of satellite wave
altimeter forms. In Proceedings in Computational Statistics, Ed, J, Antoch, Physica-Verlag, Heidelberg
New-York, p : 879-886.
8. Dabo-Niang, S ; Ferraty, F and Vieu, P (2006). Mode estimation for functional random variable and its
application for curves classification. Far East Journal of Theoretical Statistics. Vol 18, No. 1 (2006), pp
93 - 119.
9. Dabo-Niang, S ; Ferraty, F and Vieu, P (2007). On the using of modal curves for radar waveforms classification.
Computational statistics and data analysis, Vol 51, 4878-4890.
10. Dabo-Niang, S. and Laksaci, A., (2007), Estimation non paramétrique du mode conditionnel pour variable
explicative fonctionnelle. C. R., Math., Acad. Sci. Paris 344, 49-52.
11. Dabo-Niang, S and Yao, A-F (2007). Spatial kernel regression estimation. Mathematical Methods of Statistics,
Vol 16, No 4, 1-20.
12. Dabo-Niang, S and Laksaci , A (2007). Estimation non-paramétrique du mode conditionnel pour variable
explicative fonctionnelle. Pub. Inst. Stat. Univ. LI, 3, 27-42.
13. DERU, X., Champarnaud, L. , DABO, S., et Florent, G. (2007). Chronologie, céramique et statistique,
Actes du congrès de Langres, SFECAG (Société Française d’étude de la Céramique Antique en Gaule),
49-60.
14. Basse, M, Dabo-Niang, S and Diop, A (2008). Kernel density estimation for functional random fields. Pub.
Inst. Stat. Univ. Paris. Pub. Inst. Stat. Univ. LII, 1-2, 91-108.
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15. Dabo-Niang, S and Rhomari, N (2009). Kernel regression estimate in a Banach space. Journal of statistical
planning and inference. 139, 1421-1434.
16. Dabo-Niang, S et Guillas S (2010). Functional semi-parametric partially linear model with autoregressive
errors. Journal of multivariate analysis, 101, 2, 307-315.
17. Dabo-Niang, S, Yao, A-F, Pischedda, L, Cuny, P et Gilbert, F. (2009). Spatial mode estimation for
functional random fields with application to bioturbation problem. Stochastic Environmental Research
and Risk Assessment, 24, 4, 487-497.
18. Bensaid, N et Dabo-Niang, S. (2010). Frequency polygons for continuous random fields. Stochastic Processes
and Statistical Inference, 13,1, 55-80.
19. Dabo-Niang, S et Laksaci, A. (2010). Note on conditional mode estimation for functional dependent data.
A paraître dans Statistica, Vol LXX (1), 83-94.
20. Abdi, S, Abdi, A, Dabo-Niang, S et Diop, A. (2010). Consistency of a nonparametric conditional quantile
estimator for random fields. Mathematical Methods and Statistics, 2010, Vol. 19, No. 1, 1-21.
21. Dabo-Niang, S et Thiam, B. (2010). L1 consistency of a kernel estimate of spatial conditional quantile.
Statistics and probability letters, Vol. 80 (17-18), 1447-1458.
22. Abdi A, Abdi, S, Dabo-Niang, S and Diop, A. (2010). Estimation non-paramétrique du mode conditionnel
spatial. C. R., Math., Acad. Sci. Paris , Vol. 348 (13-14), 815-819.
23. Dabo-Niang, S, Francq, C et Zakoian, J-M. (2010). Combining parametric and nonparametric approaches
for time series prediction. JASA, Vol 105 (492), 1554-1565.
24. Benrabah, O, Dabo-Niang S. et Hamdad, L. (2010). Kernel density estimation for linear processes with
dependent innovations. Journal of Statistics : Adcances in Theory and Applications, Vol 4, 1, 41-72.
25. Dabo-Niang, S and Laksaci, A. (2011). Nonparametric quantile regression estimation for functional dependent
data. Communication in Statistics : Theory and Methods. To appear.
Edition of a book
1. Dabo-Niang, S and Ferraty, F. (2008). Functional and Operatorial Statistics, Springer-Verlag, New-York.
In revision
1. Dabo-Niang, S and Yao, A-F. (2009). Spatial kernel density estimation for functional random variables.
2. Chebana, F, Dabo-Niang, S et Ouarda, T. (2009). Explanatory functional flood frequency analysis. Soumis.
Papers Submitted or to be submitted
1. Abdi A, Abdi, S, Dabo-Niang, S et Diop, A. (2009). P −mean consistency of a nonparametric conditional
mode estimator for random fields.
2. Dabo-Niang, S, Rachdi M et Yao, A-F. (2009). Spatial kernel regression estimation and prediction for
functional random fields.
3. Dabo-Niang, S et Laksaci, A (2009). Non-parametric estimation of conditional quantiles and mode in the
spatial fonctional case.
Works in progress
1. Dabo-Niang, S Gayraud, G and Pouet, C. (2008). Minimax testing in the discrete spatial regression scheme.
2. Dabo-Niang, S and Guillas, S (2009). More efficient kernel functional spatial regression estimation with
autocorrelated errors.
3. Dabo-Niang, S. (2009). Nonparametric estimation of spatial density level sets.
4. Dabo-Niang, S. (2009). Additive spatial regression in the case of irregularly spaced data.
5. Bill, T., Champarnaud, L and Dabo-Niang, S. (2009). Classification et généalogie des générations culturelles.
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Technical reports
1. Dabo-Niang, S. Two kernel density estimators in an infinite dimensional space : Application to processes
of diffusion type. Publications CREST N˚2001-05 (2001).
2. Dabo-Niang, S. Density estimation by orthogonal series in an infinite dimensional space : Application to
processes of diffusion type. Publications ISUP-LSTA, 2002-4 (2002).
3. Dabo-Niang, S and Maumy, M (2003). Loi du logarithme itéré pour l’estimateur de la densité dans le cas
multivarié. Preprint
4. Dabo-Niang, S and Emilion, R (2003). Résultats de différentiation de mesures dans un espace de Banach :
Application à l’estimation fonctionnelle. Preprint.
5. Dabo-Niang, S, Ferraty, F and Vieu, P (2009). Mode estimation for functional random variable and its
application for curves classification., Proceedings of The Multimodality and Related Topics conference.
Editeur : K. Tribouley, 52-64.
Presentations
– The 33iéme days of Statistics of the SFDS (French socety of statistics), Nantes, May 2001 : Density
estimation in an infinite dimensional space : applications to diffusion processes.
– The New Researcher Conference, Atlanta (USA), July 2001 : Kernel density estimator in an infinite
dimensional space : Application to processes of diffusion type.
– Young statisticians and probabilistic (avoir) conference, Aussois 2002, April, 29 - May, 3 : Regression
estimation when the regressor is valued in a semi-metric space.
– The 34iéme days of Statistics of the SFDS , Brussels, May 2002 : Density estimation by orthogonal
projection in an infinite dimensional space : applications to diffusion processes.
– International conference on current advances and trends in nonparametric statistics, July, 15-19 2002,
Crete, Greece : Density estimation by orthogonal series in an infinite dimensional space.
– IMS (Institute of Mathematical Statistics) Annual Meeting, August, 3-7 2003, San Francisco, USA : Regression
estimation in a Banach Space.
– COMPSTAT 2004, August, 23-27 2004, Prague : Nonparametric unsupervised classification of satellite
wave altimeter forms.
– The fifth meeting of econometrics and statistics Lille3 - Littoral, September 23 2004, Calais, France.
Regression estimation in a metric space.
– Third days of functional and operational statistics, June, 13-14 2005. Non-parametric regression estimation
for random fields valued in a metric space.
– 3rd world conference on Computational Statistics and Data Analysis, 28-31 October 2005, Chypre. Spatial
kernel regression estimation.
– National days of statistical analysis theory and modelization , 02-03 June 2006, Oujda, Morocco. Spatial
density estimation by frequency polygon.
– 5th Spatial Econometric and Statistics Workshop, 14 June 2006, Grenoble, France. Nonparametric regression
estimation and prediction for continuous spatial processes.
– MAS days of SMAI, spatial models, 04-06 September 2006, Lille, France. Kernel regression estimation for
continuously indexed random fields.
– International Workshop on spatio-temporal modelling , 27-29 September 2006, Pamplona, Spain. Nonparametric
regression and prediction for spatial processes.
– Probability and Statistics in Science and Technology : A Bernoulli Society Satellite meeting of ISI’2007, 30
August-01 September 2007, Porto, Portugal. Nonparametric regression and prediction for spatial processes.
– WorkShop ”Multimodaliy and related topics” , 27-28 March 2008 : Mode estimation for functional random
variable : application for curves classification.
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– 2008 International Conference on Applied Probability, 07-10 july 2008, Compiégne, France : Functional
semiparametric partially linear model with autoregressive errors.
– 6èmes journées de statistique fonctionnelle et opératorielle, 18-19 June 2009, Dijon, France. Estimation
de la fonction de régression et prédiction pour des données spatiales fonctionnelles et applications .
– International Workshop on Spatio-Temporal Modelling, 24-26 September 2008 : Applications of spatial
density estimation in studying bioturbation problems.
– International Seminar on Nonparametric Inference, 05-07 November 2008, Vigo, Espagne : Functioanl
spatial regression estimation : Application to environmental problems.
– International TIES conference, 05-09 July 2009, Bologne, Italie : Space regression estimation for functional
data.
– SBA congres, 9-12 April 2010, Sidi Bel Abbes, Algeria : Nonparametric models for functional spatial
processes.
– International TIES conference, du 23 au 26 mars 2011, First conference on spatial statistics, Enschede,
The Netherlands : Spatial prediction for functional data.
Seminars
– Statistics Seminar of CREST (Research center of economics and statistics), September 2000.
– Seminar of the statistics laboratory of university Paris 6 (LSTA), January 2001.
– Seminar of the statistics laboratory of university Montpellier 2, March, 18, 2002.
– Working Group on learning theory, CREST, February 2002.
– Seminar of the statistics and probability laboratory of university Toulouse 3, January, 20, 2003.
– Seminar of the statistics laboratory of ENSAI, March 2003.
– Working group on dependant data or of high dimension, CREST, 2003, December.
– Seminar of GREMARS of university Lille 3, February, 3, 2004.
– Seminar of statistics and stochastic modelization of Grenoble, March, 4, 2004.
– Seminar of the statistics and probability laboratory of university Paris 10, March, 25, 2004.
– Seminar of the statistics and probability laboratory of university Lille1, May, 04, 2005.
– SPELMAN college seminar, Atlanta, August, 31, 2005.
– GEORGIA TECH stochastic seminar, Atlanta, September, 8, 2005.
– Seminar of STAPH group, Toulouse, France, 05 February 2007 : Spatial regression estimation for functional
random variables.
– Seminar of Spatial Economics and Econometrics, University Lille 1, May, 15, 2007 : Nonparametric regression
estimation and prediction for spatial processes.
– Seminar of university of Caen, Caen, 09 april 2008 : Mode estimation for functional random variable :
application for curves classification.
– Seminar of IHP, Paris, 14 april 2008 : Spatiale Regression estimation and spatiale prediction.
– Seminar of INRS-ETE, Québec, 24 march 2009 : Functional data Analysis : Density and Regression
estimations and applications.
– Seminar of university College London, London, 26 August 2009 : Combining parametric and nonparametric
approaches for time series prediction.
– Seminar of university Aix-Marseille 2, Marseille, 1 octobre 2009 : Nonparametric Estimation for Spatial
Processes.
– Seminar of university Nancy 1, Nancy, 3 May 2010 : Estimation of conditional quantiles in a spatial case.
– Seminar of university Gaston Berger, St-Louis, Senegal, 17 February 2010 : Nonparametric spatial inference.
– Seminar of university Montpellier 2, 31 Janvier 2011 : Nonparametric regression estimation of noisy data.
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TEACHING EXPERIENCE
• University Lille 3, 2004-
Deep Analysis ; Time series ; Data Analysis ; Pratique of Mathematics ; Inferential Statistics ; Introduction to
SAS Software ; Probability and Statistics. Pratique of statistical analysis and prediction : with SAS, R, GRETL
softwares. Scoring : theory and practice.
Pedagogic Activities
University Lille 3, 2009- : Person in charge of Licence MIASHS.
University Lille 3, 2004- : Member of Licence MIASHS, MASTER MIASHS Jury for training.
University Lille 3, 2004- : Person in charge of SAS module for MASTER MIASHS.
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