Vincenzina Vitale

Invited Session
Explainable machine learning models
Organizer: Mariateresa Ciommi (Università Politecnica delle Marche) - Mariani Francesca (Università Politecnica delle Marche)
Chair: Maria Cristina Recchioni (Università Politecnica delle Marche)
Discussant: Paolo Giudici (Università Pavia)
Room: T31
Floor: ground

Paper
Objective and subjective dimension of economic well-being: an approach based on statistical matching Author(s)  Pierpaolo D'Urso   Daniela Marella   Vincenzina Vitale

Invited Session
Machine learning in the design, analysis and integration of sample surveys
Organizer: Daniela Marella (Sapienza Università di Roma)
Chair: Chiara Bocci (Università degli Studi Firenze)
Discussant: Fulvia Mecatti (Università degli Studi Milano Bicocca)
Room: T31
Floor: ground
Short summary: Machine learning methods are beginning to be used in various aspects of sample surveys such as weighting, nonresponse and data integration. In this session three main aspects are examined. First of all, the use of Bayesian Networks to deal with the statistical matching problem in a multivariate context is discussed. Next, machine learning techniques incorporating the sampling weights in the imputation process are considered. Finally, a modified version of the PC algorithm for structural learning is proposed to take into account complex sample designs.

Paper
Data Integration without conditional independence: a Bayesian Networks approach Author(s)  Pier Luigi Conti   Paola Vicard   Vincenzina Vitale