Preprints

1. Cappozzo, A., Casa, A. (2025+)
   Model-based clustering for covariance matrices via penalized Wishart mixture models
   Submitted
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Articles in Peer-Reviewed Journals (Statistics)

1. Caldera, L., Masci, C., Cappozzo, A., Forlani, M., Antonelli, B., Leoni, O., Ieva, F. (2025)
   Uncovering mortality patterns and hospital effects in COVID-19 heart failure patients: a novel Multilevel logistic cluster-weighted modeling approach
   Biometrics (to appear)
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2. Montani, G., Cappozzo, A. (2025)
   Stacking model-based classifiers for dealing with multiple sets of noisy labels
   Biometrical Journal
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3. Cappozzo, A., Casa, A., Fop, M. (2025)
   Sparse model-based clustering of three-way data via lasso-type penalties
   Journal of Computational and Graphical Statistics
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4. Carlesso, L.M., Cappozzo, A., Manisera, M., Zuccolotto, P. (2024)
   Scoring probability maps in the basketball court with Indicator Kriging estimation
   Computational Statistics
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5. Benetti, L., Boniardi, E., Chiani, L., Ghirri, J., Mastropietro, M., Cappozzo, A., Denti, F. (2024)
   Variational Inference for Semiparametric Bayesian Novelty Detection in Large Datasets
   Advances in Data Analysis and Classification
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6. Cappozzo, A., Ieva, F., Fiorito, G. (2023)
   A general framework for penalized mixed-effects multitask learning with applications on DNA methylation surrogate biomarkers creation
   The Annals of Applied Statistics
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7. Cappozzo, A., García Escudero, L.A., Greselin, F., Mayo-Iscar, A. (2023)
   Graphical and computational tools to guide parameter choice for the cluster weighted robust model
   Journal of Computational and Graphical Statistics
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8. Casa, A., Cappozzo, A., Fop, M. (2022)
   Group-wise shrinkage estimation in penalized model-based clustering
   Journal of Classification
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9. Cappozzo, A., García Escudero, L.A., Greselin, F., Mayo-Iscar, A. (2021)
   Parameter Choice, Stability and Validity for Robust Cluster Weighted Modeling
   Stats
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10. Denti, F., Cappozzo, A., Greselin, F. (2021)
    A Two-Stage Bayesian Nonparametric Model for Novelty Detection with Robust Prior Information
    Statistics and Computing
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11. Cappozzo, A., Greselin, F., Murphy, T.B. (2021)
    Robust variable selection for model-based learning in presence of adulteration
    Computational Statistics & Data Analysis
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12. Cappozzo, A., Greselin, F., Murphy, T.B. (2020)
    Anomaly and Novelty detection for robust semi-supervised learning.
    Statistics and Computing
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13. Cappozzo, A., Greselin, F., Murphy, T.B. (2020)
    A robust approach to model-based classification based on trimming and constraints.
    Advances in Data Analysis and Classification
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Articles in Peer-Reviewed Journals (Cross-Disciplinary)

1. Mazzeo, L., Corso, F., Baili, P. et al. [including Cappozzo, A.] (2025)
   Data analytics for real-world data integration in TKI-treated NSCLC patients using electronic health records.
   ESMO Real World Data and Digital Oncology
   

2. Cappozzo, A., McCrory, C., Robinson, O. et al. (2022)
   A blood DNA methylation biomarker for predicting short-term risk of cardiovascular events
   Clinical Epigenetics
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3. Cappozzo, A., Duponchel, L., Greselin, F., Murphy, T.B. (2021)
   Robust variable selection in the framework of classification with label noise and outliers: applications to spectroscopic data in agri-food
   Analytica Chimica Acta
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For a full list of publications, including monographs and peer-reviewed conference proceedings, please see my CV.