46 citations · 48 across the 8 of their papers we have counts for
8 papers
A unified approach for morphometrics and functional data analysis with machine learning for craniodental shape quantification in shrew species
Aneesha Balachandran Pillay, Dharini Pathmanathan, Sophie Dabo-Niang +2
This work proposes a functional data analysis approach for morphometrics with applications in classifying three shrew species (S. murinus, C. monticola and C. malayana) based on th…
Classification of multivariate functional data on different domains with Partial Least Squares approaches
Issam-Ali Moindjie, Sophie Dabo-Niang, Cristian Preda
Classification (supervised-learning) of multivariate functional data is considered when the elements of the random functional vector of interest are defined on different domains. I…
A Bayesian shared-frailty spatial scan statistic model for time-to-event data
Camille Frévent, Mohamed-Salem Ahmed, Sophie Dabo-Niang +1
Spatial scan statistics are well known and widely used methods for the detection of spatial clusters of events. In the field of spatial analysis of time-to-event data, several mode…
Multivariate nonparametric regression by least squares Jacobi polynomials approximations
Asma BenSaber, Sophie Dabo-Niang, Abderrazek Karoui
In this work, we study a random orthogonal projection based least squares estimator for the stable solution of a multivariate nonparametric regression (MNPR) problem. More precisel…
Investigating spatial scan statistics for multivariate functional data
Camille Frévent, Mohamed-Salem Ahmed, Sophie Dabo-Niang +1
This paper introduces new scan statistics for multivariate functional data indexed in space. The new methods are derivated from a MANOVA test statistic for functional data, an adap…
On estimation and prediction in spatial functional linear regression model
Stéphane Bouka, Sophie Dabo-Niang, Guy Martial Nkiet
We consider a spatial functional linear regression, where a scalar response is related to a square integrable spatial functional process. We use a smoothing spline estimator for th…
Streamflow forecasting using functional regression
Pierre Masselot, Sophie Dabo-Niang, Fateh Chebana +1
Streamflow, as a natural phenomenon, is continuous in time and so are the meteorological variables which influence its variability. In practice, it can be of interest to forecast t…
Conditional mode regression: Application to functional time series prediction
Sophie Dabo-Niang, Ali Laksaci
We consider -mixing observations and deal with the estimation of the conditional mode of a scalar response variable given a random variable taking values in a semi-metri…