activity
20202026
most citedInvestigating spatial scan statistics for multivariate functional data

1 citations · 2 across the 8 of their papers we have counts for

collaborators

9 papers

stat.ME2026

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…

stat.ME2025

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.…

stat.ME2025

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…

math.ST2024

A multivariate spatial regression model using signatures

Camille Frévent, Issa-Mbenard Dabo

We propose a spatial autoregressive model for a multivariate response variable and functional covariates. The approach is based on the notion of signature, which represents a funct…

math.ST2024

Uncovering Data Across Continua: An Introduction to Functional Data Analysis

Sophie Dabo-Niang, Camille Frévent

In a world increasingly awash with data, the need to extract meaningful insights from data has never been more crucial. Functional Data Analysis (FDA) goes beyond traditional data…

stat.ME2023★ 1 cited

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…

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…