Francesco Ortame

Invited Session
Machine learning: different uses and perspectives
Organizer: Matteo Mazziotta (ISTAT)
Chairs: Salvatore Strozza (Università di Napoli Federico II)
Discussant: Annamaria Bianchi (Università di Bergamo)
Room: T32
Floor: ground
Short summary: The use of machine learning techniques is increasing and it can play a crucial role in Official Statistics improving the quality of the outputs or increasing the efficiency of the production processes. In the last few years, several projects were launched for testing its use and applicability in different contexts. The aim of the session is to show the various applications in order to understand their usefulness in a critical perspective in which pros and cons are at the center of scientific debate

Paper
Machine Learning for Official Statistics: An Application on External Trade Author(s)  Mauro Bruno   Maria Serena Causo   Alessio Guandalini   Francesco Ortame   Silvia Russo