33 citations · 102 across the 19 of their papers we have counts for
4 papers · 1 filter
Statistical Process Monitoring based on Functional Data Analysis
Fabio Centofanti
In modern industrial settings, advanced acquisition systems allow for the collection of data in the form of profiles, that is, as functional relationships linking responses to expl…
Cellwise and Casewise Robust Covariance in High Dimensions
Fabio Centofanti, Mia Hubert, Peter J. Rousseeuw
The sample covariance matrix is a cornerstone of multivariate statistics, but it is highly sensitive to outliers. These can be casewise outliers, such as cases belonging to a diffe…
An Adaptive Multivariate Functional Control Chart
Fabio Centofanti, Antonio Lepore, Biagio Palumbo
New data acquisition technologies allow one to gather huge amounts of data that are best represented as functional data. In this setting, profile monitoring assesses the stability…
Casewise and Cellwise Robust Multilinear Principal Component Analysis
Mehdi Hirari, Fabio Centofanti, Mia Hubert +1
Multilinear Principal Component Analysis (MPCA) is an important tool for analyzing tensor data. It performs dimension reduction similar to PCA for multivariate data. However, stand…