5 papers
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 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…
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…