Smail Adjabi

According to our database, Smail Adjabi authored at least 15 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Recursive generalized gamma kernel density estimation for nonnegative dependent data.

Mohamed Khemici, Nabil Zougab, Yasmina Ziane, Smail Adjabi

Commun. Stat. Simul. Comput., June, 2024

Multiple combined gamma kernel estimations for nonnegative data with Bayesian adaptive bandwidths.

Sobom M. Somé, Célestin C. Kokonendji, Smail Adjabi, Naushad A. Mamode Khan, Said Beddek

Comput. Stat., April, 2024

A family of asymmetric kernels based on log-symmetric distributions.

S. Makhloufi, Nabil Zougab, Yasmina Ziane, Smail Adjabi

Commun. Stat. Simul. Comput., January, 2024

2023

Nonparametric sequential estimation of the cumulative function by orthogonal series and application in reliability.

Karima Lagha, Lamia Djerroud, Smail Adjabi

Commun. Stat. Simul. Comput., November, 2023

2022

Discrete multivariate associated kernel estimators using two multiplicative bias correction methods.

Lynda Harfouche, Nabil Zougab, Smail Adjabi, Benedikt Funke

Commun. Stat. Simul. Comput., 2022

2021

Body tail adaptive kernel density estimation for nonnegative heavy-tailed data.

Yasmina Ziane, Nabil Zougab, Smail Adjabi

Monte Carlo Methods Appl., 2021

2020

Multivariate generalised gamma kernel density estimators and application to non-negative data.

Lynda Harfouche, Nabil Zougab, Smail Adjabi

Int. J. Comput. Sci. Math., 2020

Bayesian approach to smoothing parameter selection in spline estimate for regression curve.

Sonia Amroun, Lamia Djerroud, Smail Adjabi

Int. J. Comput. Sci. Math., 2020

2018

Multiplicative bias correction for discrete kernels.

Lynda Harfouche, Smail Adjabi, Nabil Zougab, Benedikt Funke

Stat. Methods Appl., 2018

Birnbaum-Saunders power-exponential kernel density estimation and Bayes local bandwidth selection for nonnegative heavy tailed data.

Yasmina Ziane, Nabil Zougab, Smail Adjabi

Comput. Stat., 2018

A multivariate non-parametric kernel estimator for global sensitivity analysis.

Lamia Djerroud, Tristan Senga Kiessé, Smail Adjabi

Commun. Stat. Simul. Comput., 2018

2014

Bayesian Approach in Nonparametric Count Regression with Binomial Kernel.

Nabil Zougab, Smail Adjabi, Célestin C. Kokonendji

Commun. Stat. Simul. Comput., 2014

Bayesian estimation of adaptive bandwidth matrices in multivariate kernel density estimation.

Nabil Zougab, Smail Adjabi, Célestin C. Kokonendji

Comput. Stat. Data Anal., 2014

2013

Laws of the iterated logarithm for nonparametric sequential density estimators.

Karima Lagha, Smail Adjabi

J. Stat. Theory Appl., 2013

2004

Application des lois non paramétriques dans les systèmes d'attente et la théorie de renouvellement.

Smail Adjabi, Karima Lagha, Amar Aïssani

RAIRO Oper. Res., 2004