Ali Laksaci

According to our database, Ali Laksaci authored at least 18 papers between 2014 and 2025.

Collaborative distances:

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

2025

Dynamic Value at Risk Estimation in Multi-Functional Volterra Time-Series Model (MFVTSM).

Fatimah A. Almulhim, Mohammed B. Alamari, Ali Laksaci, Mustapha Rachdi

Symmetry, 2025

Functional Time Series Analysis Using Single-Index L1-Modal Regression.

Mohammed B. Alamari, Fatimah A. Almulhim, Zoulikha Kaid, Ali Laksaci

Symmetry, 2025

Scalar-on-Function Mode Estimation Using Entropy and Ergodic Properties of Functional Time Series Data.

Mohammed B. Alamari, Fatimah A. Almulhim, Ibrahim M. Almanjahie, Salim Bouzebda, Ali Laksaci

Entropy, 2025

Modal Regression Estimation by Local Linear Approach in High-Dimensional Data Case.

Fatimah A. Almulhim, Mohammed B. Alamari, Ali Laksaci, Zoulikha Kaid

Axioms, 2025

Multifunctional Expectile Regression Estimation in Volterra Time Series: Application to Financial Risk Management.

Somayah Hussain Alkhaldi, Fatimah Alshahrani, Mohammed Kbiri Alaoui, Ali Laksaci, Mustapha Rachdi

Axioms, 2025

2024

Nonparametric Expectile Shortfall Regression for Complex Functional Structure.

Mohammed B. Alamari, Fatimah A. Almulhim, Zoulikha Kaid, Ali Laksaci

Entropy, September, 2024

Asymptotic normality of the local linear estimator of the functional expectile regression.

Ouahiba Litimein, Ali Laksaci, Larbi Ait-Hennani, Mechab Boubaker, Mustapha Rachdi

J. Multivar. Anal., 2024

Spatio-Functional Nadaraya-Watson Estimator of the Expectile Shortfall Regression.

Mohammed B. Alamari, Fatimah A. Almulhim, Zoulikha Kaid, Ali Laksaci

Axioms, 2024

2023

Spatio-Functional Local Linear Asymmetric Least Square Regression Estimation: Application for Spatial Prediction of COVID-19 Propagation.

Ali Laksaci, Salim Bouzebda, Fatimah Alshahrani, Ouahiba Litimein, Mechab Boubaker

Symmetry, December, 2023

Kolmogorov Entropy for Convergence Rate in Incomplete Functional Time Series: Application to Percentile and Cumulative Estimation in High Dimensional Data.

Ouahiba Litimein, Fatimah Alshahrani, Salim Bouzebda, Ali Laksaci, Mechab Boubaker

Entropy, July, 2023

Computational aspects of the <i>k</i>NN local linear smoothing for some conditional models in high dimensional statistics.

Ibrahim M. Almanjahie, Wafa Mesfer Alahmari, Ali Laksaci, Mustapha Rachdi

Commun. Stat. Simul. Comput., July, 2023

Scalar-on-Function Relative Error Regression for Weak Dependent Case.

Zouaoui Chikr Elmezouar, Fatimah Alshahrani, Ibrahim M. Almanjahie, Zoulikha Kaid, Ali Laksaci, Mustapha Rachdi

Axioms, July, 2023

2022

Local linear modelling of the Conditional Distribution function for Functional Ergodic Data.

Somia Ayad, Ali Laksaci, Saâdia Rahmani, Rachida Rouane

Math. Model. Anal., 2022

2021

The consistency and asymptotic normality of the kernel type expectile regression estimator for functional data.

Mustapha Mohammedi, Salim Bouzebda, Ali Laksaci

J. Multivar. Anal., 2021

2020

Curves Classification by Using a Local Likelihood Function and Its Practical Usefulness for Real Data.

Mustapha Rachdi, Ali Laksaci, Ali Hamie, Jacques Demongeot, Idir Ouassou

Proceedings of the Fuzzy Systems and Data Mining VI, 2020

2017

Data-driven kNN estimation in nonparametric functional data analysis.

Lydia-Zaitri Kara, Ali Laksaci, Mustapha Rachdi, Philippe Vieu

J. Multivar. Anal., 2017

2016

Relative-error prediction in nonparametric functional statistics: Theory and practice.

Jacques Demongeot, Ali Hamie, Ali Laksaci, Mustapha Rachdi

J. Multivar. Anal., 2016

2014

Theoretical and practical aspects of the quadratic error in the local linear estimation of the conditional density for functional data.

Mustapha Rachdi, Ali Laksaci, Jacques Demongeot, Abdel Abdali, Fethi Madani

Comput. Stat. Data Anal., 2014