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Welcome and opening session<\/strong><\/p>\n\n\n\n Massimo Fedeli | Head of Department for development of methods and technologies for production and dissemination of statistical information | Istat<\/p>\n\n\n\n Cristina Freguja | Head of Department for social and demographic statistics | Istat<\/p>\n\n\n\n Stefano Menghinello | Head of Department for economic, environmental and national accounts statistics | Istat<\/p>\n\n\n\n in collaboration with<\/em> International Association of Survey Statisticians (IASS)<\/em> <\/strong><\/p>\n\n\n\n <\/p>\n\n\n\n Master class: On Adversarial Risk Analysis in Official Statistics<\/strong> – Abstract<\/a> | Presentation<\/a><\/p>\n\n\n\n by<\/em> F. Ruggeri | President of the International Statistical Institute (ISI) and Senior Fellow at the Italian National Research Council (CNR IMATI, Milan)<\/p>\n\n\n\n Master class Chair<\/strong><\/em> – Abstract | Presentation<\/a><\/p>\n\n\n\n N. Shlomo | Former President of IASS, University of Manchester, Istat Advisory Committee on Statistical Methods<\/p>\n\n\n\n Invited talks<\/strong><\/p>\n\n\n\n Statistical Inference for a Finite Population Mean with Machine Learning-Based Imputation for Missing Survey Data<\/strong> – Abstract<\/a> | Presentation<\/a><\/p>\n\n\n\n D. Haziza | University of Ottawa, Canada – Abstract | Presentation<\/p>\n\n\n\n M. Dagdoug | McGill University, Montreal, Canada<\/p>\n\n\n\n A Contamination Model for Multivariate Zero-Inflated Data<\/strong> – Abstract<\/a> | Presentation<\/a><\/p>\n\n\n\n D. Di Cecco, D. Filipponi | Istat – Abstract | Presentation<\/p>\n\n\n\n U. Guarnera | Italian Revenue Agency, Rome, Italy<\/p>\n\n\n\n Small Area Estimation via Spatio-Temporal M-Quantile Modeling<\/strong> – Abstract<\/a> | Presentation<\/a><\/p>\n\n\n\n N. Salvati, F. Schirripa Spagnolo | University of Pisa, Italy – Abstract | Presentation<\/p>\n\n\n\n M. Bugallo, D. Morales | Miguel Hern\u00e1ndez University of Elche, Spain<\/p>\n\n\n\n Invited talks Chair <\/em><\/strong> – Presentation<\/p>\n\n\n\n N. Shlomo | Former President of IASS, University of Manchester, Istat Advisory Committee on Statistical Methods<\/p>\n\n\n\n Invited talks Discussant<\/em><\/strong> – Presentation<\/a><\/p>\n\n\n\n M. Alf\u00f2 | Sapienza University of Rome, Italy and Istat Advisory Committee on Statistical Methods<\/p>\n\n\n\n <\/p>\n\n\n\n <\/p>\n\n\n\n President Welcome<\/strong><\/p>\n\n\n\n Francesco M. Chelli | Istat President | Istat<\/p>\n\n\n\n Master class: Predictive Inference of Machine Learning for Official Statistics<\/strong> – Abstract<\/a> | Presentation<\/a><\/p>\n\n\n\n by<\/em> <\/strong>Li-Chun Zhang | Statistics Norway, University of Southampton and Istat Advisory Committee on Statistical Methods<\/p>\n\n\n\n Master class Chair<\/em><\/strong> – Abstract | Presentation<\/a><\/p>\n\n\n\n D. Haziza | University of Ottawa, Canada and Istat Advisory Committee on Statistical Methods<\/p>\n\n\n\n Invited talks<\/strong><\/p>\n\n\n\n Generative AI and Large Language Models in Official Statistics: from Prototypes to Practice<\/strong> – Abstract<\/a> | Presentation<\/p>\n\n\n\n J. Engdahl | Statistics Sweden<\/p>\n\n\n\n Language Models for Automated Coding in Official Statistics: Risks and Opportunities <\/strong> – Abstract<\/a> | Presentation<\/a><\/p>\n\n\n\n M. Bruno, M. Di Zio, F. Ortame | Istat<\/p>\n\n\n\n Transfer Learning for Tourism Flash Estimates with Mobile Network Operator Data <\/strong>– Abstract<\/a> | Presentation<\/a><\/p>\n\n\n\n T. Tuoto, A. Piovani, C. Faricelli | Istat<\/p>\n\n\n\n Invited talks Chair and Discussant<\/strong><\/em> – Abstract | Presentation<\/a><\/p>\n\n\n\n B. Liseo | Sapienza University of Rome, Italy and Istat Advisory Committee on Statistical Methods<\/p>\n\n\n\n <\/p>\n\n\n\n <\/p>\n\n\n\n Master class: Generalized Calibration for Non-Response and Non-Probability Samples<\/strong> – Abstract<\/a> | Presentation<\/a><\/p>\n\n\n\n by<\/em> Alina Matei | University of Neuchatel, Switzerland<\/p>\n\n\n\n Master class Chair<\/em><\/strong><\/strong><\/p>\n\n\n\n Daniela Cocchi | University of Bologna, Italy and Istat Advisory Committee on Statistical Methods<\/p>\n\n\n\n Invited talks<\/strong><\/p>\n\n\n\n Innovations in the Quality of EU-SILC Survey Estimates<\/strong> – Abstract<\/a> | Presentation<\/a><\/p>\n\n\n\n by<\/em> D. Chianella, M. D’Al\u00f2, S. Gerosa, M. Terribili, C. De Vitiis | Istat<\/p>\n\n\n\n A Constrained Optimization Approach for adjusting Misclassified Proxy Variables<\/strong> – Abstract<\/a> | Presentation<\/a><\/p>\n\n\n\n by<\/em> <\/strong>F. Solari, V. Quondamstefano, R. Filippini, Gaia Rocchetti | Istat<\/p>\n\n\n\n Invited talks Chair and Discussant<\/em> <\/strong> – Presentation<\/a><\/p>\n\n\n\n G. Ranalli | University of Perugia, Italy and Istat Advisory Committee on statistical methods<\/p>\n\n\n\n <\/p>\n\n\n\n Master class: Open-source Software for the Implementation of New Statistical Methods<\/strong> – Abstract<\/a> | Presentation<\/a><\/p>\n\n\n\n by<\/em> <\/strong>R. Lesur and P. Lamarche | INSEE<\/p>\n\n\n\n Master class chair <\/em><\/strong><\/p>\n\n\n\n P. D. Falorsi | Former Director at Istat<\/p>\n\n\n\n Invited talks<\/strong><\/p>\n\n\n\n ARTIC: An R Procedure for the Automatic Random Error Treatment and Imputation for Categorical Variables<\/strong> – Abstract<\/a> | Presentation<\/a><\/p>\n\n\n\n R. Filippini, S. Toti | Istat<\/p>\n\n\n\n Statistical Open Source Software for Official Statistics: State of Play and Future Directions<\/strong> – Abstract<\/a> | Presentation<\/a><\/p>\n\n\n\n O. ten Bosch | CBS, the Netherlands, Mark van der Loo | CBS, the Netherlands and University of Leiden<\/p>\n\n\n\n Methodological Framework for developing Open Source Software Tools at Istat<\/strong> – Abstract<\/a> | Presentation<\/a><\/p>\n\n\n\n M. D\u2019Orazio | Istat<\/p>\n\n\n\n
\n\n\n\nSession 1 | Statistical Models for Official Statistics<\/strong><\/h3>\n\n\n\n
\n\n\n\nSession 2 | AI\/ML for Official Statistics <\/strong><\/h3>\n\n\n\n
\n\n\n\nTUESDAY, 2 DECEMBER<\/strong><\/h2>\n\n\n\n
Session 3 | Multisource Analyses for Official Statistics<\/strong><\/h3>\n\n\n\n
\n\n\n\nSession 4 | Software Open Source implementing Statistical Methods for Official Statistics<\/strong><\/h3>\n\n\n\n