Cavicchia, C., Vichi, M. and Zaccaria, G.
Parsimonious Ultrametric Gaussian Mixture Models
Statistics and Computing, 34, 108, (2024)
Cavicchia, C. and Sarnacchiaro, P.
A new ranking calculation based on a composite indicator model: the case of the top 20 European football teams
Quality and Quantity, (2024)
Cavicchia, C., Sarnacchiaro, P., Vichi, M. and Zaccaria, G.
A model-based ultrametric composite indicator for studying waste management in Italian municipalities
Computational Statistics, 39(1), pp.21–50 (2024)
Cavicchia, C., Vichi, M. and Zaccaria, G.
Hierarchical Disjoint Principal Component Analysis
AStA Advances in Statistical Analysis, 107(3), pp.537–574 (2023)
Vichi, M., Cavicchia, C. and Groenen, P.J.F.
Hierarchical Means Clustering
Journal of Classification, 39(3), pp.553–577 (2022)
Cavicchia, C., Vichi, M. and Zaccaria, G.
Gaussian mixture model with an extended ultrametric covariance structure
Advances in Data Analysis and Classification, 16(2), pp.399–427 (2022)
De Rosa, E., Montuori, P., Sarnacchiaro, P., Di Duca, F., Giovinetti, M. C., Provvisiero, D. P., Cavicchia, C. and Triassi, M.
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), pp.327–355 (2022)
Cavicchia, C. and Sarnacchiaro, P.
A multi-group higher-order factor analysis for studying the gender-effect in Teacher Job Satisfaction
METRON, 80(1), pp.23–38 (2022)
Cavicchia, C. and Vichi, M.
Second-Order Disjoint Factor Analysis
Psychometrika, 87(1), pp.289–309 (2022)
Cavicchia, C. and Sarnacchiaro, P.
The effect of a new e-tivity on students’ performance and satisfaction in an online course
Statistica Applicata - Italian Journal of Applied Statistics, 33(2), pp.163–175 (2021)
Cavicchia, C., Sarnacchiaro, P. and Vichi, M.
A composite indicator for the waste management in the EU via Hierarchical Disjoint Non-Negative Factor Analysis
Socio-Economic Planning Sciences, 73, 100832, (2021)
Cavicchia, C. and Vichi, M.
Statistical Model-based Composite Indicators for tracking coherent policy conclusions
Social Indicators Research, 156(2), pp.449–479 (2021)
Cavicchia, C., Vichi, M. and Zaccaria, G.
The ultrametric correlation matrix for modelling hierarchical latent concepts
Advances in Data Analysis and Classification, 14(4), pp.837–853 (2020)
Cavicchia, C. and Vichi, M.
Building hierarchies of factors with disjoint factor analysis
Davino, C., Palumbo, F., Wilhelm, A., Kestler, A. (eds) Recent Trends and Future Challenges in Learning from Data (ECDA 2022). Studies in Classification, Data Analysis, and Knowledge Organization., (Accepted for publication, 2024+)
Cavicchia, C., Sarnacchiaro, P. and Montuori, P.
How much do Knowledge about and Attitude toward mobile phone use affect Behavior while driving? An empirical study using a Structural Equation Model
Salvati, N., Perna, C., Marchetti, S., Chambers, R. (eds) Studies in Theoretical and Applied Statistics. SIS 2021. Springer Proceedings in Mathematics & Statistics, vol 406. pp.263–280 (2023)
Cavicchia, C., Vichi, M. and Zaccaria, G.
Exploring Hierarchical Concepts: Theoretical and Application Comparisons
Imaizumi, T., Nakayama, A.,Yokoyama, S. (eds) Advanced Studies in Behaviormetrics and Data Science: Essays in Honor of Akinori Okada., pp.315–328 (2020)
Cavicchia, C., Sarnacchiaro, P. and Vichi, M.
Cost and performance: a composite indicator for separated waste collection in Italy
International Statistical Institute 2021. Proceedings of the 63rd ISI World Statistics Congress, pp.819–824 (2022)
Cavicchia, C., Sarnacchiaro, P., Vichi, M. and Zaccaria, G.
An ultrametric model to build a Composite Indicators system
Book of Short papers. 10th International Conference IES 2022: Innovation and Society 5.0: Statistical and Economic Methodologies for Quality Assessment., pp.208–211 (2022)
Cavicchia, C., Vichi, M. and Zaccaria, G.
A parsimonious parameterization of a nonnegative correlation matrix
Book of Short Papers of the 5th international workshop on Models and Learning for Clustering and Classification MBC2 2020., pp.21–26 (2021)
Cavicchia, C., Vichi, M. and Zaccaria, G.
Model-Based Clustering with Parsimonious Covariance Structure
CLADAG 2021. Book of abstracts and short papers., pp.296–299 (2021)
Cavicchia, C., Vichi, M. and Zaccaria, G.
The ultrametric covariance model for modelling teachers’ job satisfaction
SIS 2021. Book of short papers., pp.1319–1324 (2021)
Cavicchia, C. and Sarnacchiaro, P.
Mobile phone use while driving: a Structural Equation Model to analyze the Behavior behind the wheel
SIS 2021. Book of short papers., pp.835–840 (2021)
Cavicchia, C., Vichi, M. and Zaccaria, G.
Dimensionality reduction via hierarchical factorial structure
CLADAG 2019. Book of Short Papers., pp.116–119 (2019)
Cavicchia, C., Sarnacchiaro, P. and Vichi, M.
A composite indicator via hierarchical disjoint factor analysis for measuring the Italian football teams’ performances
ASA Conference 2019. Statistics for Health and Well-being. Book of short papers., pp.65–68 (2019)
Cavicchia, C., Sarnacchiaro, P. and Vichi, M.
Hierarchical Disjoint Non-Negative Factor Analysis: environment and waste management in the EU
Statistical methods for service quality evaluation. Book of short papers of IES 2019., pp.154–157 (2019)
Cavicchia, C., Vichi, M. and Zaccaria, G.
A new hierarchical model-based composite indicator on climate change
Statistical methods for service quality evaluation. Book of short papers of IES 2019., pp.346–349 (2019)
Cavicchia, C., Vichi, M. and Zaccaria, G.
Hierarchical clustering and dimensionality reduction for big data
Smart statistics for smart applications. Book of short papers SIS2019., pp.173–180 (2019)