dr. C. (Carlo) Cavicchia

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

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

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..

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

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)

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)

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.

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.

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)

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)

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)

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)

Cavicchia, C., Vichi, M., & Zaccaria, G. (2019). Dimensionality reduction via hierarchical factorial structure. In CLADAG 2019 Book of Short Papers (pp. 116-119)