dr. C. (Carlo) Cavicchia
Carlo Cavicchia, an Assistant Professor of Statistics at the Econometric Institute of Erasmus University Rotterdam, focuses his research on the methodological and computational aspects of data analysis, including latent variable models, unsupervised classification, and model-based composite indicators. He teaches statistics and data science courses at both graduate and undergraduate levels and supervises MSc and BSc theses in Econometrics, Statistics, and Data Science. Carlo is part of the sector plan SSH Breed (Theme 4: Digital decision support).
He serves as the IASC data analysis competition officer (2023-2025) and has held positions such as National board member (2021-2022) and National coordinator of y-SIS (2022). As an active member of the academic community, Carlo reviews for several statistics journals and has organized conferences like DSSV 2020 and DSSV-ECDA 2021. He also participates in program committees for conferences including CLADAG-VOC 2025, CLADAG 2023, IES 2023, IES 2022, and SIS 2022.
In 2024, Carlo Cavicchia was awarded the IFCS Chikio Hayashi award.
Publications
Article (15)
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Academic (15)
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Cavicchia, C., Vichi, M., & Zaccaria, G. (2024). Parsimonious ultrametric Gaussian mixture models. Statistics and Computing, 34(3), Article 108. https://doi.org/10.1007/s11222-024-10405-9
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van de Velden, M., D’Enza, A. I., Markos, A., & Cavicchia, C. (2024). A general framework for implementing distances for categorical variables. Pattern Recognition, 153, Article 110547. https://doi.org/10.1016/j.patcog.2024.110547
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Cavicchia, C., & Sarnacchiaro, P. (2024). A new hierarchical composite indicator model for ranking the top 20 European football teams. Quality and Quantity, 58(5), 4033-4051. https://doi.org/10.1007/s11135-024-01842-9
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Cavicchia, C., Sarnacchiaro, P., Vichi, M., & Zaccaria, G. (2024). A model-based ultrametric composite indicator for studying waste management in Italian municipalities. Computational Statistics, 39(1), 21-50. https://doi.org/10.1007/s00180-023-01333-9
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Cavicchia, C., Vichi, M., & Zaccaria, G. (2023). Hierarchical disjoint principal component analysis. AStA Advances in Statistical Analysis, 107(3), 537-574. https://doi.org/10.1007/s10182-022-00458-4
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Vichi, M., Cavicchia, C., & Groenen, P. (2022). Hierarchical Means Clustering. Journal of Classification, 39(3), 553–577. https://doi.org/10.1007/s00357-022-09419-7
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Rosa, E., Montuori, P., Sarnacchiaro, P., Di Luca, F., Giovanetti, M. C., Provvisiero, D. P., Cavicchia, C., & Triassi, M. (2022). Spatiotemporal estimation of heavy metals pollution in the Mediterranean Sea from Volturno River, southern Italy: distribution, risk assessment and loads. Chemistry and Ecology, 38(4), 327-355. https://doi.org/10.1080/02757540.2022.2047950
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Cavicchia, C., Vichi, M., & Zaccaria, G. (2022). Gaussian mixture model with an extended ultrametric covariance structure. Advances in Data Analysis and Classification, 16(2), 399-427. https://doi.org/10.1007/s11634-021-00488-x
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Cavicchia, C., & Vichi, M. (2021). Second-Order Disjoint Factor Analysis. Psychometrika, 87(1), 289-309. https://doi.org/10.1007/s11336-021-09799-6, https://doi.org/10.1007/s11336-021-09799-6
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Cavicchia, C., & Vichi, M. (2021). Statistical Model-Based Composite Indicators for Tracking Coherent Policy Conclusions. Social Indicators Research, 156(2), 449-479. https://doi.org/10.1007/s11205-020-02318-7
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Cavicchia, C., & Sarnacchiaro, P. (2021). The effects of a new e-tivity on students' performance and satisfaction in an online course. Statistica Applicata, 33(2), 163-175. https://doi.org/10.26398/IJAS.0033-009
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Cavicchia, C., & Sarnacchiaro, P. (2021). Correction to: A multi-group higher-order factor analysis for studying the gender-effect in Teacher Job Satisfaction (METRON, (2022), 80, 1, (23-38), 10.1007/s40300-021-00204-x). Metron, 80(1), 39. https://doi.org/10.1007/s40300-021-00209-6
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Cavicchia, C., & Sarnacchiaro, P. (2021). A multi-group higher-order factor analysis for studying the gender-effect in Teacher Job Satisfaction. Metron, 80(1), 23-38. https://doi.org/10.1007/s40300-021-00204-x
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Cavicchia, C., Sarnacchiaro, P., & Vichi, M. (2021). A composite indicator for the waste management in the EU via Hierarchical Disjoint Non-Negative Factor Analysis. Socio-Economic Planning Sciences, 73, Article 100832. https://doi.org/10.1016/j.seps.2020.100832
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Cavicchia, C., Vichi, M., & Zaccaria, G. (2020). The ultrametric correlation matrix for modelling hierarchical latent concepts. Advances in Data Analysis and Classification, 14(4), 837-853. https://doi.org/10.1007/s11634-020-00400-z
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Chapter (2)
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Academic (2)
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Cavicchia, C., Sarnacchiaro, P., & Montuori, P. (2023). How Much Do Knowledge About and Attitude Toward Mobile Phone Use Affect Behavior While Driving? An Empirical Study Using a Structural Equation Model. In N. Salvati, C. Perna, S. Marchetti, & R. Chambers (Eds.), Studies in Theoretical and Applied Statistics: SIS 2021 (pp. 263-280). Springer. https://doi.org/10.1007/978-3-031-16609-9_17
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Cavicchia, C., Vichi, M., & Zaccaria, G. (2020). Exploring Hierarchical Concepts: Theoretical and Application Comparisons. In Imaizumi, T. and Nakayama, A. and Yokoyama, S. (Ed.), Advanced Studies in Behaviormetrics and Data Science: Essays in Honor of Akinori Okada (pp. 315-328). Springer Singapore. https://doi.org/10.1007/978-981-15-2700-5_19
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Conference proceeding (12)
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Academic (12)
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Cavicchia, C., & Vichi, M. (2024). Building Hierarchies of Factors with Disjoint Factor Analysis. In C. Davino, F. Palumbo, AFX. Wilhelm, & HA. Kestler (Eds.), Recent Trends And Future Challenges In Learning From Data, Ecda 2022 (pp. 1-10). Springer Science+Business Media. https://doi.org/10.1007/978-3-031-54468-2_1
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Cavicchia, C., Sarnacchiaro, P., Vichi, M., & Zaccaria, G. (2022). An ultrametric model to build a Composite Indicators system. In R. Lombardo, I. Camminatiello, & V. Simonacci (Eds.), Book of Short papers 10th International Conference IES 2022 Innovation and Society 5.0: Statistical and Economic Methodologies for Quality Assessment (pp. 208-211). PKE - Professional Knowledge Empowerment s.r.l..
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Cavicchia, C., Sarnacchiaro, P., & Vichi, M. (2022). Cost and performance: a composite indicator for separated waste collection in Italy. In Proceedings 63rd ISI World Statistics Congress, 11 - 16 July 2021, Virtual Article 000819 https://www.isi-web.org/files/docs/papers-and-abstracts/214-day5-ips011-cost-and-performance-a-composi.pdf
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Cavicchia, C., & Sarnacchiaro, P. (2021). Mobile phone use while driving: a Structural Equation Model to analyze the Behavior behind the wheel. In Book of Short Papers SIS2021 (pp. 835-840)
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Cavicchia, C., Vichi, M., & Zaccaria, G. (2021). The ultrametric covariance model for modelling teachers' job satisfaction. In Book of Short Papers SIS 2021 (pp. 1319-1324)
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Cavicchia, C., Vichi, M., & Zaccaria, G. (2021). Model-based clustering with parsimonious covariance structure. In G. Porzio, C. Rampichini, & C. Bocci (Eds.), CLADAG 2021 BOOK OF ABSTRACTS AND SHORT PAPERS: 13th Scientific Meeting of the Classification and Data Analysis Group Firenze, September 9-11, 2021 (pp. 296-299). Fupress.
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Cavicchia, C., Vichi, M., & Zaccaria, G. (2021). A parsimonious parameterization of a nonnegative correlation matrix. In S. Ingrassia, A. Punzo, & R. Rocci (Eds.), Book of Short Papers of the 5th international workshop on Models and Learning for Clustering and Classification MBC2 2020, Catania, Italy (pp. 21-26). Ledizioni.
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Cavicchia, C., Vichi, M., & Zaccaria, G. (2019). Hierarchical clustering and dimensionality reduction for big data. In Smart statistics for smart applications. Book of short paper SIS2019 (pp. 173-180)
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Cavicchia, C., Vichi, M., & Zaccaria, G. (2019). A new hierarchical model-based composite indicator on climate change. In Statistical methods for service quality for service quality evaluation evaluation. Book of short papers of IES 2019, Rome, Italy, July 4-5 (pp. 346-349)
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Cavicchia, C., Sarnacchiaro, P., & Vichi, M. (2019). Hierarchical Disjoint Non-Negative Factor Analysis: environment and waste management in the EU. In Statistical methods for service quality for service quality evaluation evaluation. Book of short papers of IES 2019, Rome, Italy, July 4-5 (pp. 154-157)
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Cavicchia, C., Sarnacchiaro, P., & Vichi, M. (2019). A composite indicator via hierarchical disjoint factor analysis for measuring the Italian football teams’ performance. In ASA CONFERENCE 2019 Statistics for Health and Well-being BOOK OF SHORT PAPERS (pp. 65-68)
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Cavicchia, C., Vichi, M., & Zaccaria, G. (2019). Dimensionality reduction via hierarchical factorial structure. In CLADAG 2019 Book of Short Papers (pp. 116-119)
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Editorial (1)
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Academic (1)
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Perri, P. F., Punzo, G., & Cavicchia, C. (2023). Editorial to the special issue on "Advances in statistical modelling, methods and applications". Metron, 81(3), 257-258. https://doi.org/10.1007/s40300-023-00260-5
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Preprint (1)
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Academic (1)
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van de Velden, M., Iodice D’Enza, A., Markos, A., & Cavicchia, C. (2024). Unbiased mixed variables distance. arXiv. https://arxiv.org/abs/2411.00429
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Software (1)
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Academic (1)
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Zaccaria, G., Cavicchia, C., & Balzotti, L. (2024). PUGMM: Parsimonious Ultrametric Gaussian Mixture Models. Software
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Additional activities (52)
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CLADAG-VOC 2025
Organising and contributing to an event (Academic)
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IES 2025: Innovation & Society: Statistics and Data Science for Evaluation and Quality
Organising and contributing to an event (Academic)
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University of Naples Federico II
Visiting an external academic institution (Academic)
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18th conference of the International Federation of Classification Societies
Invited talk (Academic)
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SIS 2024: 52nd Scientific Meeting of the Italian Statistical Society
Invited talk (Academic)
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Convex Clustering of Mixed Numerical and Categorical Data
Invited talk (Academic)
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Journal of Computational Social Science (Journal)
Editorial work (Academic)
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Journal of Infrastructure, Policy and Development (Journal)
Editorial work (Academic)
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Journal of the Royal Statistical Society. Series B: Statistical Methodology (Journal)
Editorial work (Academic)
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Operational Research (Journal)
Editorial work (Academic)
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SoftwareX (Journal)
Editorial work (Academic)
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SAGE Open (Journal)
Editorial work (Academic)
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Statistical Computing and Robust Inference for High Dimensional Data
Invited talk (Academic)
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SIS 2023: Statistical Learning, Sustainability and Impact Evaluation
Invited talk (Academic)
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ISI 2023 - 64th International Statistical Institute World Statistics Congress
Invited talk (Academic)
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Convex Clustering of Mixed Numerical and Categorical Data
Oral presentation (Academic)
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CLADAG 2023: 14th Scientific Meeting Classification and Data Analysis Group
Organising and contributing to an event (Academic)
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IES 2023: Statistical methods for evaluation and quality: techniques, technologies and trends
Organising and contributing to an event (Academic)
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DSSV-ECDA 2023 - Joint conference of Data Science, Statistics & Visualisation and the European Conference on Data Analysis
Invited talk (Academic)
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ISI 2023 - 64th International Statistical Institute World Statistics Congress
Invited talk (Academic)
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Computational Statistics and Data Analysis (Journal)
Editorial work (Academic)
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Journal of Classification (Journal)
Editorial work (Academic)
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Socio-Economic Planning Sciences (Journal)
Editorial work (Academic)
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Statistica (Journal)
Editorial work (Academic)
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International Association for Statistical Computing (External organisation)
Membership of committee (Academic)
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Innovation and Society 5.0: Statistical and Economic Models and Techniques for Quality Assessment 2022
Organising and contributing to an event (Academic)
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SIS 2022
Organising and contributing to an event (Academic)
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ECDA 2022 - European Conference on Data Analysis
Attending an event (Academic)
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15th International Conference of the ERCIM WG on Computational and Methodological Statistics
Attending an event (Academic)
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5th International Conference on Econometrics and Statistics
Invited talk (Academic)
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17th conference of the International Federation of Classification Societies
Invited talk (Academic)
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Introduction to Statistics
Invited talk (Academic)
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Metron (Journal)
Editorial work (Academic)
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SAGE Open (Journal)
Editorial work (Academic)
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BMC psychology (Journal)
Editorial work (Academic)
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SIS 2022 (Event)
Editorial work (Academic)
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Behaviormetrika (Journal)
Editorial work (Academic)
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Statistical Methods and Applications (Journal)
Editorial work (Academic)
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Data Science, Statistics & Visualisation and European Conference on Data Analysis
Organising and contributing to an event (Academic)
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Computational Statistics (Journal)
Editorial work (Academic)
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Data Science Statistics and Visualisation and European Conference on Data Analysis 2021
Organising and contributing to an event (Academic)
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Annals of Operations Research (Journal)
Editorial work (Academic)
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PLoS ONE (Journal)
Editorial work (Academic)
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young SIS (External organisation)
Membership of committee (Academic)
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Journal of Data Science, Statistics and Visualisation (Journal)
Editorial work (Academic)
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International Statistical Institute World Statistics Congress “Statistics and Data Science for a Better World”
Invited talk (Academic)
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Metron (Journal)
Editorial work (Academic)
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SN Business and Economics (Journal)
Editorial work (Academic)
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Data Science, Statistics and Visualisation 2020
Organising and contributing to an event (Academic)
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50th edition of the Scientific Meeting of the Italian Statistical Society
Attending an event (Academic)
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Journal of Statistical Computation and Simulation (Journal)
Editorial work (Academic)
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Advances in Data Analysis and Classification (Journal)
Editorial work (Academic)
PhD Track (1)
- Role: Co-promotor
- PhD Candidate: Marten Jan Christiaan Soer
- Time frame: 2024 -
Address
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