K. Benhenni

发表

Sampling Designs for Estimating Integrals of Stochastic Processes

S. Cambanis, K. Benhenni, 1992 .

Regression models with correlated errors based on functional random design

Mustapha Rachdi, K. Benhenni, S. Hedli-Griche, 2017 .

Optimal and Robust Designs for Estimating the Concentration Curve and the AUC

K. Benhenni, Mohamad Belouni, 2015 .

Local polynomial regression based on functional data

D. Degras, K. Benhenni, 2011, 1107.4058.

The effect of the regularity of the error process on the performance of kernel regression estimators

Mustapha Rachdi, K. Benhenni, Yingcai Su, 2012, Metrika.

The reproducing kernel Hilbert space approach in nonparametric regression problems with correlated observations

S. Louhichi, K. Benhenni, D. Benelmadani, 2018, Annals of the Institute of Statistical Mathematics.

On bandwidth selection problems in nonparametric trend estimation under martingale difference errors

D. Girard, S. Louhichi, K. Benhenni, 2020, Bernoulli.

Local smoothing regression with functional data

Mustapha Rachdi, Frédéric Ferraty, Philippe Vieu, 2007, Comput. Stat..

Non-parametric estimation of the average growth curve with a general non-stationary error process

Mustapha Rachdi, K. Benhenni, 2006 .

Non-parametric estimation of the average growth curve with a general non-stationary error process

Mustapha Rachdi, K. Benhenni, 2006 .

Optimal sampling designs for nonparametric estimation of spatial averages of random fields

Karim Benhenni, Yingcai Su, K. Benhenni, 2016, J. Multivar. Anal..

Approximating integrals of stochastic processes: extensions

K. Benhenni, 1998, Journal of Applied Probability.

ADJUSTED EULER-MACLAURIN PREDICTOR FOR INTEGRATING SMOOTH SPATIAL PROCESSES ∗

K. Benhenni, R. Drouilhetdag, 2004 .

Adjusted Euler - MacLaurin predictor for integrating smooth spatial processes@@@Adjusted Euler - MacLaurin predictor for integrating smooth spatial processes

K. Benhenni, R. Drouilhet, 2003 .

RECONSTRUCTION OF A STATIONARY SPATIAL PROCESS FROM A SYSTEMATIC SAMPLING

K. Benhenni, 2001 .

Local polynomial estimation of the mean function and its derivatives based on functional data and regular designs

D. Degras, K. Benhenni, 2014 .

Trapezoidal rule and sampling designs for the nonparametric estimation of the regression function in models with correlated errors

S. Louhichi, K. Benhenni, D. Benelmadani, 2018, Statistics.

Estimation of the regression operator from functional fixed-design with correlated errors

Mustapha Rachdi, K. Benhenni, S. Hedli-Griche, 2010, J. Multivar. Anal..

Consistency of the regression estimator with functional data under long memory conditions

Mustapha Rachdi, Philippe Vieu, Karim Benhenni, 2008 .

Bispectrum estimation for a continuous-time stationary process from a random sampling

Mustapha Rachdi, K. Benhenni, 2007, Recent Advances in Stochastic Modeling and Data Analysis.

Stepwise sampling procedure for estimating random averages

K. Benhenni, Yingcai Su, 2005 .

The Effect of Quantization on the Performance of Sampling Designs

Stamatis Cambanis, Karim Benhenni, S. Cambanis, 1998, IEEE Trans. Inf. Theory.

Minimax results for estimating integrals of analytic processes

J. Istas, K. Benhenni, 1998 .

Local polynomial estimation of regression operators from functional data with correlated errors

Karim Benhenni, Ali Hajj Hassan, Yingcai Su, 2019, J. Multivar. Anal..

Nonparametric estimation of the regression function from quantized observations

Mustapha Rachdi, K. Benhenni, Mustapha Rachdi, 2006, Comput. Stat. Data Anal..