3 papers
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.ME2019
Detecting and Classifying Outliers in Big Functional Data
Oluwasegun Taiwo Ojo, Antonio Fernández Anta, Rosa E. Lillo +1
We propose two new outlier detection methods, for identifying and classifying different types of outliers in (big) functional data sets. The proposed methods are based on an existi…
stat.ME2016
An empirical comparison of global and local functional depths
Carlo Sguera, Rosa E. Lillo
A functional data depth provides a center-outward ordering criterion which allows the definition of measures such as median, trimmed means, central regions or ranks in a functional…