Preprints

1. Caldera, L., Cappozzo, A., Masci, C., , Forlani, M., Antonelli, B., Leoni, O., Paganoni, A. M., Ieva, F. (2026+)
   Cluster-weighted modeling of lifetime hierarchical data for profiling COVID-19 heart failure patients
   Submitted
   arXiv | Code

Articles in Peer-Reviewed Journals (Statistics)

1. Cappozzo, A., Casa, A. (2025)
   Model-based clustering for covariance matrices via penalized Wishart mixture models
   Computational Statistics & Data Analysis
   Paper | arXiv | Code

2. 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
   Paper | arXiv | Code | Shiny App

3. Montani, G., Cappozzo, A. (2025)
   Stacking model-based classifiers for dealing with multiple sets of noisy labels
   Biometrical Journal
   Paper | Code

4. 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
   Paper | arXiv | Code

5. Carlesso, L.M., Cappozzo, A., Manisera, M., Zuccolotto, P. (2024)
   Scoring probability maps in the basketball court with Indicator Kriging estimation
   Computational Statistics
   Paper | Shiny App

6. 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
   Paper | arXiv | Code

7. 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
   Paper | arXiv | Code

8. 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
   Paper | Code

9. Casa, A., Cappozzo, A., Fop, M. (2022)
   Group-wise shrinkage estimation in penalized model-based clustering
   Journal of Classification
   Paper | arXiv | Code

10. Cappozzo, A., García Escudero, L.A., Greselin, F., Mayo-Iscar, A. (2021)
    Parameter Choice, Stability and Validity for Robust Cluster Weighted Modeling
    Stats
    Paper | Code

11. Denti, F., Cappozzo, A., Greselin, F. (2021)
    A Two-Stage Bayesian Nonparametric Model for Novelty Detection with Robust Prior Information
    Statistics and Computing
    Paper | arXiv | Code

12. Cappozzo, A., Greselin, F., Murphy, T.B. (2021)
    Robust variable selection for model-based learning in presence of adulteration
    Computational Statistics & Data Analysis
    Paper | arXiv | Code

13. Cappozzo, A., Greselin, F., Murphy, T.B. (2020)
    Anomaly and Novelty detection for robust semi-supervised learning.
    Statistics and Computing
    Paper | arXiv | Code

14. 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
    Paper | arXiv | Code

Articles in Peer-Reviewed Journals (Cross-Disciplinary)

1. Corso, F., Baili, P. et al. [including Cappozzo, A.] (2025)
   Cost-effectiveness of first-line osimertinib informed by electronic medical records via text-mining: a real-world Italian case study of EGFR-mutated advanced NSCLC patients
   ESMO Real World Data and Digital Oncology
   Paper

2. 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
   Paper

3. Cappozzo, A., McCrory, C., Robinson, O. et al. (2022)
   A blood DNA methylation biomarker for predicting short-term risk of cardiovascular events
   Clinical Epigenetics
   Paper | Code

4. 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
   Paper | arXiv | Code | Cover

For a full list of publications, including monographs and peer-reviewed conference proceedings, please see my CV.