activity
20192022
most citedInvestigating spatial scan statistics for multivariate functional data

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

stat.ME2022

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…

stat.ME2021★ 1 cited

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…

stat.ME2020

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…

stat.ME2019

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…

stat.ME2019

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…