22 citations · 22 across the 2 of their papers we have counts for
3 papers
stat.ME2026
Depth-based estimation for multivariate functional data with phase variability
Ana Arribas-Gil, Sara López-Pintado
In the context of multivariate functional data with individual phase variation, we develop a robust depth-based approach to estimate the main pattern function when cross-component…
stat.ME2020
A notion of depth for sparse functional data
Carlo Sguera, Sara López-Pintado
Data depth is a well-known and useful nonparametric tool for analyzing functional data. It provides a novel way of ranking a sample of curves from the center outwards and defining…
stat.ME2007★ 22 cited
Functional analysis via extensions of the band depth
Sara López-Pintado, Rebecka Jornsten
The notion of data depth has long been in use to obtain robust location and scale estimates in a multivariate setting. The depth of an observation is a measure of its centrality, w…