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This book contains a selection of the contributions presented at the conference of the Italian Statistical Society - SIS 2023 held in Ancona, 21-23 June 2023 with specific focus on "Statistical Learning, Sustainability and Impact Evaluation".
Papers concern new challenges of digitalization, innovation and sustainability that are showing the crucial role of data-driven approaches in supporting decision-making processes. Methodologies resulting from the integration of different know-how provide reliable way to deal with the increasing need to measure the impact of the policies and to forecast scenarios. A non-exhaustive list of the topics include papers on: Data Analysis and Classification, Education and students' assessment, Environmental and Sustainability assessment, Population and health dynamics, Machine and Statistical Learning, Spatial and Spatio-Temporal Modeling, Social and Statistical indicators.
This volume is addressed to researchers as well as to Ph.D. and MSc students interested in new trends and recent developments in the areas of Statistical Learning, Sustainability and Impact Evaluation.
List of contents
PART 1: Advanced Statistical Methods and Modeling, The Italian experience on register-based statistics considering measurement, coverage and sampling errors.- Generalized separation scores for ranking partially ordered data.- Bayesian nonparametric mixing distribution estimation in the Gaussian-smoothed 1-Wasserstein distance.- On the probability of success of a reliability experiment.- CovBootTree: Proper Bayesian Bootstrap Ensembled Trees with Cholesky Multivariate Distribution.- Probabilistic Principal Components and the BLUP jointly in a new predictor: an Application to Well-Being Italian Data.-An Importance Sampling Algorithm For Bayesian Logistic Regression with Scale Mixture of Gaussian Priors.- PART 2: Socio-Economic and Health Analysis, Patterns of flexible employment careers. Does measurement error matter?.- Italians and sustainability: a consciousness to be strengthened.- Integrating state-sequence analysis to uncover dynamic drug-utilization patterns to profile heart failure patients.- Connected threads: Africa, HIV and Intimate Partner Violence using the INLA-SPDE approach.- ESG Score and Volatility in the European Stock Market.- Using matrix-variate hidden Markov regressions for analyzing crime data.- Assessing Academic Career Progression: A Cox Proportional Hazard Model for Stagnant Levels.- PART 3: Urban Systems, Mobility, and Environmental Management, Unveiling the dynamic of traffic-crowding relation through mobile phone big data analysis.- Analysing the relationship between traffic flows, road infrastructure, and car crashes data: an approach based on spatiotemporal point patterns on linear networks.- Evaluating economic and ecological efficiency of Italian waste management systems using parametric and non-parametric methods.
About the author
Francesco Maria Chelli is President of the Italian National Institute of Statistics (Istat). Full Professor of Economic Statistics at the Department of Economic and Social Sciences of the “Giorgio Fuà” Faculty of Economics of the Polytechnic University of Marche since 2006, Chelli was also Director of the Department of Economic and Social Sciences at this University, Dean of the Faculty of Economics, and the university representative for the University Network for Peace. He presided over the Italian Society of Economics, Demography and Statistics for two terms.
Corrado Crocetta is Full Professor of Statistics at the University of Bari Aldo Moro. He has served as President of the Italian Statistical Society (SIS) and has played leading roles in numerous national and international research projects, including PRIN, PNRR, Interreg, and EU-funded initiatives, with a focus on sustainability, health, education, and statistical modeling. He has published extensively in international journals, and his research interests include statistical methods for sustainable development, PLS-PM modeling, official statistics, and the application of advanced statistical techniques to health, labor market, and tourism studies.
Salvatore Ingrassia is a Professor of Statistics and Statistical Learning in the Department of Economics and Business at the University of Catania, Italy. His primary research interests include model-based clustering, computational statistics, and statistical learning. He has served as a referee for many scientific journals and has worked as an Associate Editor for the following journals: Advances in Data Analysis and Classification (ADAC), Computational Statistics and Data Analysis (CSDA), and Statistical Methods and Applications (SMAP). He has also acted as Guest Editor for special issues of ADAC, CSDA, and Econometrics and Statistics (ECOSTA) on topics related to mixture models and model-based clustering. Salvatore Ingrassia was President of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society from 2015 to 2017 and has been a member of the Executive Board of the Italian Statistical Society for the 2020–2024 term. He has participated in numerous scientific committees for international conferences and workshops. He is the author or co-author of more than 150 publications.
Maria Cristina Recchioni is a full professor of Economic Statistics at the Department of Economics and Social Science, Polytechnic University of Marche, in Ancona. She is the author of over 80 scientific publications, most of which have appeared in international journals. Professor Recchioni serves as co-editor-in-chief of Statistical Methods & Applications, an associate editor of Journal of Economic Interaction and Coordination, and an editorial board member of theEuropean Journal of Operational Research. She has collaborated with several research institutes and companies, including the Bank of Italy (Rome), ENEA (Rome), and Cineca (Bologna). Her research interests include: composite indicators; option pricing; stochastic volatility models and forecasting; calibration procedures; portfolio optimization; and linear and nonlinear multi-objective programming.
Summary
This book contains a selection of the contributions presented at the conference of the Italian Statistical Society - SIS 2023 held in Ancona, 21-23 June 2023 with specific focus on “Statistical Learning, Sustainability and Impact Evaluation”.
Papers concern new challenges of digitalization, innovation and sustainability that are showing the crucial role of data-driven approaches in supporting decision-making processes. Methodologies resulting from the integration of different know-how provide reliable way to deal with the increasing need to measure the impact of the policies and to forecast scenarios. A non-exhaustive list of the topics include papers on: Data Analysis and Classification, Education and students’ assessment, Environmental and Sustainability assessment, Population and health dynamics, Machine and Statistical Learning, Spatial and Spatio-Temporal Modeling, Social and Statistical indicators.
This volume is addressed to researchers as well as to Ph.D. and MSc students interested in new trends and recent developments in the areas of Statistical Learning, Sustainability and Impact Evaluation.
