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)

On the using of modal curves for radar waveforms classification. - Sophie Dabo-Niang; Frédéric Ferraty; Philippe Vieu (Comput. Stat. Data Anal., 2007)

Functional semiparametric partially linear model with autoregressive errors. - Sophie Dabo-Niang; Serge Guillas (J. Multivar. Anal., 2010)

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)

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)

Efficiency in multivariate functional nonparametric models with autoregressive errors. - Sophie Dabo-Niang; Serge Guillas; Camille Ternynck (J. Multivar. Anal., 2016)

Spatial Kernel Discriminant Analysis: Applied for Hyperspectral Image Classification. - Soumia Boumeddane; Leila Hamdad; Sophie Dabo-Niang; Hamid Haddadou (ICAART (2), 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)

Dimensionality Reduction and Bandwidth Selection for Spatial Kernel Discriminant Analysis. - Soumia Boumeddane; Leila Hamdad; Hamid Haddadou; Sophie Dabo-Niang (ICAART (2), 2021)

A kernel discriminant analysis for spatially dependent data. - Soumia Boumeddane; Leila Hamdad; Hamid Haddadou; Sophie Dabo-Niang (Distributed Parallel Databases, 2021)

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)

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., 2022)

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)

An estimation approach for the influential-imitator diffusion. - Ringo Thomas Tchouya; Stefano Nasini; Sophie Dabo-Niang (Comput. Oper. Res., 2023)

Functional Sparse Data Clustering Using Conditional Expectation PACE Method. - Idris Si-ahmed; Leila Hamdad; Sophie Dabo-Niang (CARI, 2024)

Demonstrating the relevance of spatial-functional statistical analysis in marine ecological studies: The case of environmental variations in micronektonic layers. - Yoba Kande; Ndague Diogoul; Patrice Brehmer; Sophie Dabo-Niang; Papa Ngom; Yannick Perrot (Ecol. Informatics, 2024)

Classification of multivariate functional data on different domains with Partial Least Squares approaches. - Issam-Ali Moindjié; Sophie Dabo-Niang; Cristian Preda (Stat. Comput., 2024)

Automatic geomorphological mapping using ground truth data with coverage sampling and random forest algorithms. - Paul Aimé Latsouck Faye; Élodie Brunel; Thomas Claverie; Solym M. Manou-Abi; Sophie Dabo-Niang (Earth Sci. Informatics, 2024)

A Multispectral Blood Smear Background Images Reconstruction for Malaria Unstained Images Normalization. - Solange Doumun Oulai; Sophie Dabo-Niang; Jérémie T. Zoueu (Int. J. Imaging Syst. Technol., 2024)

Principal component analysis of multivariate spatial functional data. - Idris Si-ahmed; Leila Hamdad; Sophie Dabo-Niang (Big Data Res., 2025)

Fusion regression methods with repeated functional data. - Issam-Ali Moindjié; Cristian Preda; Sophie Dabo-Niang (Comput. Stat. Data Anal., 2025)