1 citations · 1 across the 3 of their papers we have counts for
7 papers
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…
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…
Detecting spatial clusters in functional data: new scan statistic approaches
Camille Frévent, Mohamed-Salem Ahmed, Matthieu Marbac +1
We have developed two scan statistics for detecting clusters of functional data indexed in space. The first method is based on an adaptation of a functional analysis of variance an…
Spatial Autoregressive Models for Scan Statistic
Mohamed-Salem Ahmed, Lionel Cucala, Michael Genin
Spatial scan statistics are well-known methods for cluster detection and are widely used in epidemiology and medical studies for detecting and evaluating the statistical significan…
A functional-model-adjusted spatial scan statistic
Michael Genin, Mohamed-Salem Ahmed
This paper introduces a new spatial scan statistic designed to adjust cluster detection for longitudinal confounding factors indexed in space. The functional-model-adjusted statist…
k-nearest neighbors prediction and classification for spatial data
Mohamed-Salem Ahmed, Mamadou N'diaye, Mohammed Kadi Attouch +1
This paper proposes a spatial k-nearest neighbor method for nonparametric prediction of real-valued spatial data and supervised classification for categorical spatial data. The pro…