Erasmus University Rotterdam

dr. (Carlo) C Cavicchia

Assistant Professor Erasmus School of Economics Econometrics
Location
Burg. Oudlaan 50, Rotterdam
Room
ET-02
Telephone
0104081253
Email
cavicchia@ese.eur.nl

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Profile

My general expertise is about methodological and computational aspects of data analysis. I am currently working on latent variable models, unsupervised classification and model-based composite indicators. 

My general expertise is about methodological and computational aspects of data analysis. I am currently working on latent variable models, unsupervised classification and model-based composite indicators. 

      • 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, P. Sarnacchiaro & M. Vichi (2020). A composite indicator for the waste management in the EU via Hierarchical Disjoint Non-Negative Factor Analysis. Socio-Economic Planning Sciences. doi: 10.1016/j.seps.2020.100832
      • C. Cavicchia, M. Vichi & G. Zaccaria (2020). The ultrametric correlation matrix for modelling hierarchical latent concepts. Advances in Data Analysis and Classification. doi: 10.1007/s11634-020-00400-z

      • 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. 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)

  • Journal of Statistical Computation and Simulation

    Role
    Ad Hoc Reviewer
    Start date approval
    Jan/2019

    Advances in Data Analysis and Classification

    Role
    Ad Hoc Reviewer
    Start date approval
    Jan/2018

  • Assistant Professor

    University
    Erasmus University Rotterdam
    School
    Erasmus School of Economics
    Department
    Econometrics
    Country
    The Netherlands
    Telephone
    0104081253

Address

Visiting address

Burg. Oudlaan 50 3062 PA Rotterdam

Postal address

Postbus 1738 3000 DR Rotterdam