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22/03/02

 

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curriculum vitae

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Karim BENHENNI
Doctorat (University of North Carolina at Chapel Hill 1989. Habilitation à Diriger des Recherches à l'UPMF 2003)
Maître de Conférences
Unité d'enseignement: Sciences Eco
Champs de recherche
Processus stochastiques,
Plans d'échantillonnages,
Statistique non paramétrique et fonctionnelle.

Publications
Benhenni, K., Ferraty, F., Rachdi, M. and Vieu, P. Local smoothing regression with functional data. Computational Statistics (2007).

Benhenni, K and Rachdi, M (2007). Nonparametric estimation of the average growth curve with general nonstationary error process. Commun. Stat., Theory Methods 36, No.6.

Benhenni, K and Rachdi, M (2006). Non-parametric estimation of the average growth curve with general nonstationary error process. Comptes Rendus Mathematique, Volume 343, Issue 8, Pages 541-544, (2006).

Benhenni, K and Rachdi, M (2006). Nonparametric estimation of the regression function from quantized observations. Computational Statistics & Data Analysis, Volume 50, Issue 11, Pages 3067-3085

Benhenni, K and Rachdi, M (2005). Non-parametric estimation of the average growth curve from quantized observations and correlated errors. Comptes Rendus Mathematique, Volume 340, Issue 12, Pages 901-904

Benhenni, K and Su Yingcai (2005). Stepwise sampling procedure for estimating random averages. C. R. Acad. Sci. Paris, I340, (8)615-618

Benhenni, K and Drouillet, R. (2003). Adjusted Euler-MacLaurin predictor for integrating smooth spatial processes. Theory of Probability and its Applications, SIAM Journals, Vol. 48, No.3, 17 pages.

Benhenni, K and Su Yingcai (2003). Stepwise sampling methods for estimating integrals of stochastic processes. Technical report. University of South Missouri, USA, 22 pages. Soumis.

Benhenni, K. (2002). Plans d{\'e}chantillonnages pour la pr{\'e}diction d'int{\'e}grales de processus stochastiques. M{\'e}moire d'Habilitation {\`a} diriger des recherches, Universit{\'e} Pierre Mend{\`e}s France, Grenoble.

Benhenni, K. (2001). Reconstruction of a stationary spatial process from a systematic sampling. {\em Institute of Mathematical Statistics. Lecture Notes-Monograph Series}. Inference for Stochastic Processes. I. V. Basawa, C. C. Heyde and R. L. Taylor, Editors. Vol.37, 271-279.

Benhenni, K and Istas, J.(1998). Minimax results for estimating integrals of analytic processes. {\em ESAIM: Probabilit{\'e}s et Statistique, Institut Henri Poincarr{\'e}}, Vol. 2, p. 109-121.

Benhenni, K and Cambanis, S. (1998). The effect of quantization on the performance of sampling designs. {\em I.E.E.E transactions on Information Theory}, Vol. 2, p. 109-121.

Benhenni, K. (1998). Predicting integrals of stochastic processes: Extensions.
{\em J. Appl. Prob.} 35, 843-855.

Benhenni, K (1997). Approximation d'int{\'e}grales de processus stochastiques. {\em Comptes rendus de l'Acad{\'e}mie des Sciences de Paris}, t. 325, S{\'e}rie 1, p. 659-663.

Benhenni, K and Boukhetala, K.(1996). Optimal sampling for estimating integral of function from observations with correlated measurements applied to pharmacokinetic studies. {\em Compstat Symposium}. Edited by A. Prat and E. Ripoli.

Benhenni, K. (1994). Approximations and designs for estimating regression coefficients from independant replications. Technical Report No. 411, Center for Stochastic Processes, University of North Carolina, Chapel Hill, USA, 26 pages.

Benhenni, K. (1992). Sampling designs for estimating regression coefficients.
Technical Report No. 90-1, Northern Illinois University, USA, 23 pages.

Benhenni, K. and Cambanis,S. (1992). Sampling designs for estimating integrals of stochastic processes
using quadratic mean derivatives. Lecture Notes in {\em Pure and Applied Mathematics, Approximation Theory,} G.A. Anastassiou, ed., M. Dekker, New York, 93-123.

Benhenni, K. and Cambanis, S.(1992). Sampling designs for estimating integrals of stochastic processes.
{\em Ann. Statist.}, 20, 161-194.

Benhenni, K. (1991). Sampling designs for estimating regression coefficients. Annals de l'ISUP, (3):3-25.

Conception :
D. Delseny