1 citations · 1 across the 3 of their papers we have counts for
4 papers
A signature-based spatial scan statistic for functional data
Camille Frévent
We have developed a new signature-based spatial scan statistic for functional data (SigFSS). This scan statistic can be applied to both univariate and multivariate functional data.…
Investigating new, signature-based, spatial autoregressive models for functional covariates
Camille Frévent
We developed two new alternatives to signature-based, spatial autoregressive models. In a simulation study, we found that the new models performed at least as well as existing appr…
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…