Preprints

  • Capezza, C., Lepore, A., Paynabar, K. (2024) Stream-Based Active Learning for Process Monitoring [arXiv] [code]
  • Capezza, C., Centofanti, F., Forcina, D., Lepore, A., Palumbo, B. (2024) Functional Mixture Regression Control Chart. [arXiv] [code]
  • Centofanti, F., Hubert, M., Rousseeuw, P. J. (2024) Robust Principal Components by Casewise and Cellwise Weighting. [arXiv] [code]
  • Kulahci, M., Lepore, A., Palumbo, B., Sposito, G. (2023) Functional Neural Network Control Chart. [arXiv] [code]

Published papers

2024

  • Capezza, C., Centofanti, F., Lepore, A., Palumbo, B. (2024) Robust Multivariate Functional Control Chart. Technometrics, 66(4):531–547. [doi] [arXiv] [code]
  • Capezza, C., Capizzi, G., Centofanti, F., Lepore, A., Palumbo, B. (2024) An Adaptive Multivariate Functional Control Chart. Journal of Quality Technology. [doi] [arXiv] [code]
  • Centofanti, F., Hubert, M., Palumbo, B., Rousseeuw, P. J. (2024). Multivariate Singular Spectrum Analysis by Robust Diagonalwise Low-Rank Approximation. Journal of Computational and Graphical Statistics. [doi] [arXiv] [code]
  • Centofanti, F., Lepore, A., Kulahci, M., Spooner, M.P. (2024). Real-time monitoring of functional data. Accepted for publication in Journal of Quality Technology. [arXiv] [code] [interactive plot]
  • Centofanti, F., Lepore, A., & Palumbo, B. (2024) Sparse and smooth functional data clustering. Statistical Papers, 65:795–825. [doi] [arXiv] [code]

2023

  • Centofanti, F., Colosimo, B. M., Grasso, M. L., Menafoglio, A., Palumbo, B., & Vantini, S. (2023) Robust functional ANOVA with application to additive manufacturing. Journal of the Royal Statistical Society Series C: Applied Statistics, 72(5):1210–1234. [doi] [arXiv] [code]
  • 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] [arXiv] [code]
  • Centofanti, F., Lepore A., Menafoglio A., Palumbo B., Vantini S. (2023) Adaptive smoothing spline estimator for the function-on-function linear regression model. Computational Statistics, 38:191–216. [doi] [code]

2022

  • Centofanti, F., Fontana M., Lepore A., Vantini S. (2022) Smooth LASSO estimator for the function-on-function linear regression model. Computational Statistics & Data Analysis, 176. [doi] [arXiv] [code]
  • Lepore, A., Palumbo, B., Sposito, G. (2022) Neural network based control charting for multiple stream processes with an application to HVAC systems in passenger railway vehicles. Applied Stochastic Models in Business and Industry, 38(5):862–883. [doi] [code]

2021

  • Capezza, C., Palumbo, B., Goude Y., Wood, S.N., Fasiolo, M. (2021) Additive Stacking for Disaggregate Electricity Demand Forecasting. The Annals of Applied Statistics, 15(2):727–746. [doi] [arXiv] [code]
  • Centofanti, F., Lepore, A., Menafoglio, A., Palumbo, B. Vantini, S. (2021) Functional Regression Control Chart. Technometrics, 63(3):281–194. [doi]
  • Capezza, C., Centofanti, F., Lepore, A., Palumbo, B. (2021) Functional clustering methods for resistance spot welding process data in the automotive industry. Applied Stochastic Models in Business and Industry, 37(5):908–925. [doi] [arXiv]
  • Capezza, C., Centofanti, F., Lepore, A., Menafoglio, A., Palumbo, B., Vantini, S. (2021) Functional regression control chart for monitoring ship CO2 emissions. Quality and Reliability Engineering International, 38(3):1519–1537. [doi]
  • Capezza, C., Centofanti, F., Lepore, A., Palumbo, B. (2021) A Functional Data Analysis Approach for the Monitoring of Ship CO2 Emissions. Gestao & Producao, 28(3). [doi]

2020

  • Capezza C., Lepore A., Menafoglio A., Palumbo B. Vantini S. (2020) Control charts for monitoring ship operating conditions and CO2 emissions based on scalar-on-function regression. Applied Stochastic Models in Business and Industry, 36(3):477–500. [doi]
  • Reis, M. S., Rendall, R., Palumbo, B., Lepore, A., Capezza, C. (2020) Predicting ships’ CO2 emissions using feature-oriented methods. Applied Stochastic Models in Business and Industry, 36(1):110–123. [doi]
  • Lepore, A., Palumbo, B., & Pievatolo, A. (2020) A Bayesian approach for site-specific wind rose prediction. Renewable Energy, 150:691–702. [doi]

2019

  • Capezza C., Coleman S., Lepore A., Palumbo B. Vitiello L. (2019) Ship fuel consumption monitoring and fault detection via partial least squares and control charts of navigation data. Transportation Research Part D: Transport and Environment, 67:375–387. [doi]
  • Lepore, A., Palumbo, B., Capezza, C. (2019) Orthogonal LS-PLS approach to ship fuel-speed curves for supporting decisions based on operational data. Quality Engineering, 31(3):386–400. [doi]
  • Erto, P., Lepore, A., Palumbo, B., & Vanacore, A. (2019). A Bayesian control chart for monitoring the ratio of Weibull percentiles. Quality and Reliability Engineering International, 35(5):1460–1475. [doi]

2018

  • Lepore, A., Palumbo, B., & Castagliola, P. (2018). A note on decision making method for product acceptance based on process capability indices Cpk and Cpmk. European Journal of Operational Research, 267(1):393–398. [doi]
  • Lepore, A., Palumbo, B., Capezza, C. (2018) Analysis of profiles for monitoring of modern ship performance via partial least-squares methods. Quality and Reliability Engineering International, 34(7):1424–1436. [doi]
  • Erto, P., Giorgio, M., & Lepore, A. (2018). The generalized inflection S-shaped software reliability growth model. IEEE Transactions on Reliability, 69(1):228–244. [doi]

2017

  • Lepore, A., Reis, M.S., Palumbo, B., Rendall, R., Capezza, C. (2017) A comparison of advanced regression techniques for predicting ship CO2 emissions. Quality and Reliability Engineering International, 33(6):1281–1292. [doi]