Publications
Preprints
Ferraccioli, F., Casa, A., Stefanucci, M., An adaptive functional regression framework for spatially heterogeneous signals in spectroscopy, to appear in Journal of the Royal Statistical Society Series C. [link]
Journal Articles
Depaoli, E.G., Stefanucci, M., Mazzuco, S., Functional concurrent regression with compositional covariates and its application to the time-varying effect of causes of death on human longevity. Annals of Applied Statistics, 2024, 18:2, 1668–1685. [link]
Bernardi, M., Canale, A., Stefanucci, M., Locally Sparse Function-on-Function Regression. Journal of Computational and Graphical Statistics, 2023, 32:3, 985–999. [link]
Stefanucci, M., Mazzuco, S., Analyzing cause-specific mortality trends using Compositional Functional Data Analysis. Journal of the Royal Statistical Society Series A, 2022, 185, 61–83. [link]
Frizzarin, M., Bevilacqua, A., Dhariyal, B., Domijan, K., Ferraccioli, F., Hayes, E., Ifrim, G., Konkolewska, A., Nguyen, T.L., Mbaka, U., Ranzato, G., Singh, A., Stefanucci, M., Casa, A., Mid infrared spectroscopy and milk quality traits: a data analysis competition at the International Workshop on Spectroscopy and Chemometrics 2021. Chemometrics and Intelligent Laboratory Systems, 2021, 219. [link]
Stefanucci, M., Canale, A., Multiscale stick-breaking mixture models. Statistics and Computing, 2021, 31, 13. [link]
Kraus, D., Stefanucci, M., Ridge reconstruction of partially observed functional data is asymptotically optimal. Statistics & Probability Letters, 2020, 165. [link]
Kraus, D., Stefanucci, M., Classification of functional fragments by regularized linear classifiers with domain selection. Biometrika, 2019, 106, 1, 161–180. [link]
Stefanucci M., Sangalli L.M., Brutti P., PCA‐based discrimination of partially observed functional data, with an application to AneuRisk65 data set. Statistica Neerlandica, 2018, 1–19. [link]
Conference Proceedings
Stefanucci, M., A new algorithm for the imputation of missing functional data, in Book of Short Papers SIS 2024, in press.
Ferraccioli, F., Casa, A., Stefanucci, M., Trend Filtering for functional regression, in Book of Short Papers SIS 2022. Pearson, 2022.
Bernardi, M., Canale, A., Stefanucci, M., Locally sparse functional regression with an application to mortality data, in Book of Short Papers SIS 2021. Pearson, 2021.
Stefanucci, M., Mazzuco, S., Inspecting cause-specific mortality curves by simplicial functional data analysis, in Book of Short Papers SIS 2020. Pearson, 2020.
Stefanucci, M., Canale, A., Bayesian multiscale mixture of Gaussian kernels for density estimation, in Book of Short Papers SIS 2019. Pearson, 2019.
Stefanucci M., Sangalli L.M., Brutti P., Classification of the Aneurisk65 dataset using PCA for partially observed functional data, in Book of Short Papers SIS 2018. Pearson, 2018.
Book Chapters
Capozzo, A., Ferraccioli, F., Stefanucci, M., Secchi, P., An object oriented approach to Multimodal Imaging Data in Neuroscience, chapter in Studies in Neural Data Science. Springer, 2018.