ECAS-ENBIS Course: Statistical Process Monitoring of Functional Data

Sunday 14 Sept 2025, 14:00 → 18:00 Europe/Amsterdam

ECAS-ENBIS Course:  Statistical Process Monitoring of Functional Data

Part of the ENBIS-25 Piraeus conference.

This half-day course is a joint initiative from ENBIS and ECAS (http://ecas.fenstats.eu/) which has provided courses since 1987 to achieve training in special areas of statistics for both researchers and teachers for universities and professionals in industry fields.

Instructor

Christian Capezza (University of Naples Federico II, Italy)

Overview

This 4-hour applicative course focuses on statistical process monitoring (SPM) for functional data, with a strong emphasis on industrial applications. Participants will learn to effectively monitor and analyze functional data, which arise when measurements are continuously collected over a domain (e.g., time, space). The course will introduce key functional data analysis (FDA) techniques, highlighting their role in detecting anomalies and assessing process stability in real-world industrial settings.

Through theoretical insights and hands-on practice, attendees will explore state-of-the-art statistical methodologies for monitoring functional processes. The course will feature an interactive R session, where participants will apply these techniques to industrial case studies using the funcharts R package, available on CRAN.

Outline

 

• How to get smooth functional data

• Multivariate functional principal component analysis

• Control charts for functional data

 

References

• Capezza, C., Centofanti, F., Lepore, A., Menafoglio, A., Palumbo, B., Vantini, S. (2023). funcharts: Control charts for multivariate functional data in R, Journal of Quality Technology, 55(5):566–583, doi:10.1080/00224065.2023.2219012.
• Capezza, C., Capizzi, G., Centofanti, F., Lepore, A., Palumbo, B. (2025). An Adaptive Multivariate Functional EWMA Control Chart, Journal of Quality Technology, 57(1):1–15, doi:10.1080/00224065.2024.2383674.
• Capezza, C., Centofanti, F., Lepore, A., Palumbo, B. (2024). Robust Multivariate Functional Control Chart, Technometrics, 66(4):531–547, doi:10.1080/00401706.2024.2327346.

Short bio

Christian Capezza is an Assistant Professor of Statistics for Experimental and Technological Research at the Department of Industrial Engineering, University of Naples Federico II (Italy), where he teaches Statistical Methods for Industrial Process Monitoring for the MSc programs in Mathematical Engineering and Data Science. His research focuses on advanced statistical methodologies for engineering applications, with particular interest in functional data analysis, statistical process monitoring, and generalized additive models. He is the maintainer of the funcharts R package. He is a member of the Statistics For Engineering Research (SFERe) group (www.sfere.unina.it). From March to April 2025, he was a visiting researcher at Georgia Tech (USA). He earned his PhD in Industrial Engineering from the University of Naples Federico II in April 2020. During his doctoral studies, he was a visiting PhD student at the School of Mathematics, University of Bristol (UK), and the Department of Statistical Sciences, University of Padova.

 

14:00 → 18:00 ECAS-ENBIS Course: Statistical Process Monitoring of Functional Data

Speaker: Christian Capezza (Department of Industrial Engineering, University of Naples "Federico II")