Sophie Dabo-Niang

According to our database, Sophie Dabo-Niang authored at least 15 papers between 2004 and 2024.

Collaborative distances:

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

2024

Classification of multivariate functional data on different domains with Partial Least Squares approaches.

Issam-Ali Moindjié, Sophie Dabo-Niang, Cristian Preda

Stat. Comput., February, 2024

2023

An estimation approach for the influential-imitator diffusion.

Ringo Thomas Tchouya, Stefano Nasini, Sophie Dabo-Niang

Comput. Oper. Res., November, 2023

Spatial Relative Risk of Upper Aerodigestive Tract Cancers Incidence in French Northern Region.

Sophie Dabo-Niang, Emad Darwich, Leila Hamdad, Baba Thiam

SN Comput. Sci., 2023

2022

The R Package HDSpatialScan for the Detection of Clusters of Multivariate and Functional Data using Spatial Scan Statistics.

Camille Frévent, Mohamed-Salem Ahmed, Julien Soula, Lionel Cucala, Zaineb Smida, Sophie Dabo-Niang, Michaël Génin

R J., December, 2022

Predictive model for airborne insect abundance intercepted by a continuous wave Scheimpflug lidar in relation to meteorological parameters.

Adolphe Y. Gbogbo, Benoît K. Kouakou, Sophie Dabo-Niang, Jérémie Thouakesséh Zoueu

Ecol. Informatics, 2022

2021

A kernel discriminant analysis for spatially dependent data.

Soumia Boumeddane, Leila Hamdad, Hamid Haddadou, Sophie Dabo-Niang

Distributed Parallel Databases, 2021

Dimensionality Reduction and Bandwidth Selection for Spatial Kernel Discriminant Analysis.

Soumia Boumeddane, Leila Hamdad, Hamid Haddadou, Sophie Dabo-Niang

Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

2019

Short-term air temperature forecasting using Nonparametric Functional Data Analysis and SARMA models.

Stelian Curceac, Camille Ternynck, Taha B. M. J. Ouarda, Fateh Chebana, Sophie Dabo-Niang

Environ. Model. Softw., 2019

Spatial Kernel Discriminant Analysis: Applied for Hyperspectral Image Classification.

Soumia Boumeddane, Leila Hamdad, Sophie Dabo-Niang, Hamid Haddadou

Proceedings of the 11th International Conference on Agents and Artificial Intelligence, 2019

2016

Efficiency in multivariate functional nonparametric models with autoregressive errors.

Sophie Dabo-Niang, Serge Guillas, Camille Ternynck

J. Multivar. Anal., 2016

2014

Consistency of a nonparametric conditional mode estimator for random fields.

Sophie Dabo-Niang, Sidi Ali Ould-Abdi, Ahmedoune Ould-Abdi, Aliou Diop

Stat. Methods Appl., 2014

2011

Asymptotic Normality of a Nonparametric Conditional Quantile Estimator for Random Fields.

Sidi Ali Ould-Abdi, Sophie Dabo-Niang, Aliou Diop, Ahmedoune Ould-Abdi

Adv. Decis. Sci., 2011

2010

Functional semiparametric partially linear model with autoregressive errors.

Sophie Dabo-Niang, Serge Guillas

J. Multivar. Anal., 2010

2007

On the using of modal curves for radar waveforms classification.

Sophie Dabo-Niang, Frédéric Ferraty, Philippe Vieu

Comput. Stat. Data Anal., 2007

2004

Kernel density estimator in an infinite-dimensional space with a rate of convergence in the case of diffusion process.

Sophie Dabo-Niang

Appl. Math. Lett., 2004