1 citations · 2 across the 8 of their papers we have counts for
7 papers · 1 filter
A spatial scan statistical for categorical, functional data
Camille Frévent, Moustapha Sarr, Sophie Dabo-Niang
We have developed and tested a spatial scan statistic for categorical, functional data (CFSS) - a data structure within which current approaches cannot identify spatial clusters. O…
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…
A functional spatial autoregressive model using signatures
Camille Frévent
We propose a new approach to the autoregressive spatial functional model, based on the notion of signature, which represents a function as an infinite series of its iterated integr…
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…