Assistant Professor Erasmus School of Economics Econometrics
- Location
- Burg. Oudlaan 50, Rotterdam
- Room
- ET-02
- Telephone
- 0104081253
- cavicchia@ese.eur.nl
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Profile
- C. Cavicchia, P. Sarnacchiaro & M. Vichi (2021). A composite indicator for the waste management in the EU via Hierarchical Disjoint Non-Negative Factor Analysis. Socio-Economic Planning Sciences, 73:00832. doi: 10.1016/j.seps.2020.100832
- C. Cavicchia & P. Sarnacchiaro (2021). A multi-group higher-order factor analysis for studying the gender-effect in Teacher Job Satisfaction. Metron. doi: 10.1007%2Fs40300-021-00204-x [go to publisher's site]
- C. Cavicchia, M. Vichi & G. Zaccaria (2020). The ultrametric correlation matrix for modelling hierarchical latent concepts. Advances in Data Analysis and Classification, 14 (4), 837-853. doi: 10.1007/s11634-020-00400-z
- C. Cavicchia & M. Vichi (2020). Statistical Model-Based Composite Indicators for Tracking Coherent Policy Conclusions. Social Indicators Research. doi: 10.1007/s11205-020-02318-7
- C. Cavicchia, M. Vichi & G. Zaccaria (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). Singapore: Springer Singapore doi: 10.1007/978-981-15-2700-5_19
- C. Cavicchia, M. Vichi & G. Zaccaria (2019). Dimensionality reduction via hierarchical factorial structure. In CLADAG 2019 Book of Short Papers
- C. Cavicchia, P. Sarnacchiaro & M. Vichi (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
- C. Cavicchia, M. Vichi & G. Zaccaria (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
- C. Cavicchia, M. Vichi & G. Zaccaria (2019). Hierarchical clustering and dimensionality reduction for big data. In Smart statistics for smart applications. Book of short paper SIS2019.
- C. Cavicchia, P. Sarnacchiaro & M. Vichi (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
Seminar Data Science for Marketing Analy
- Title
- Seminar Data Science for Marketing Analy
- Year
- 2020
- Year level
- master
Seminar BA and Quantitative Marketing
- Title
- Seminar BA and Quantitative Marketing
- Year
- 2020
- Year level
- bachelor 3, bachelor 3, bachelor 4
Advances in Data Analysis and Classification
- Role
- Ad Hoc Reviewer
- Start date approval
- Jan/2018
Journal of Statistical Computation and Simulation
- Role
- Ad Hoc Reviewer
- Start date approval
- Jan/2019
Computational Statistics
- Role
- Ad Hoc Reviewer
- Start date approval
- Mar/2021
Metron
- Role
- Ad Hoc Reviewer
- Start date approval
- Nov/2020
Assistant Professor
- University
- Erasmus University Rotterdam
- School
- Erasmus School of Economics
- Department
- Econometrics
- Country
- The Netherlands
- Telephone
- 0104081253
Young SIS
- Role
- National Board Member
- Obtained Wage
- no
- Start date approval
- Jan/2021
- End date approval
- Dec/2022